Influence of Tree Density Upon the Spatial Distribution of Mosquito Populations Vivek Athipatla, Ankit Chandra, Shayna Juimo-Kamga, Isabella List, Emmie Shockley Mentors: Rusty Low, Cassie Soeffing, Peder Nelson SEES Earth System Explorer mentors; Dr. Rusanne Low, Ms. Cassie Soeffing, Mr. Peder Nelson, Dr. Erika Podest, Andrew Clark The material contained in this poster is based upon work supported by the National Aeronautics and Space Administration (NASA) cooperative agreements NNX16AE28A to the Institute for Global Environmental Strategies (IGES) for the NASA Earth Science Education Collaborative (NESEC) and NNX16AB89A to the University of Texas Austin for the STEM Enhancement in Earth Science (SEES). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NASA. Acknowledgements These three graphs show the concentrations of different entities in the Houston area. Figure A shows the tree density throughout the area, Figure B shows the land cover percentages and urbanization, and Figure C shows the mosquito density within Houston. Figure A and Figure B are somewhat opposites because in places where urbanization is high, it usually means that the tree density is lower. In Figure C, it is also clear that there are more mosquitoes in the center of the metroplex, which is where there are more people to act as a vector for disease spread. By comparing these graphs with each other, it becomes very clear that there are more mosquitoes in places where the tree density is lower and the urbanization is higher. This completely contradicts our hypothesis. There are many explanations for this but the one that makes the most sense is that mosquitoes are more abundant in places where there are more people as disease vectors. And more people are located in the most urbanized areas, which is usually in the middle of the city and in places where construction has prohibited the growth of trees. Therefore, our conclusion is not that less trees leads to more mosquitoes, but that increased urbanization leads to more mosquitoes. And a side effect of that increased urbanization is a decrease in trees. Conclusions From this data, it can de determined that there is both a positive correlation between urbanization and mosquitoes, and a negative correlation between tree density and mosquitoes. This data can be used in determining which locations are at the highest risk for mosquito borne illnesses. Places with high levels of urbanization are more likely to host more significant mosquito populations, and thus the citizens of these areas are at higher risk. In the future, this experiment can be expanded by choosing different locations with more points (I.e. six locations in the Las Vegas area). The points of landcover could then be analyzed in a similar process to determine results. We could then cross reference this data to our current data to see if it is similar. This data refutes the previous hypothesis where it was predicted that the higher the tree density, the higher the mosquito population. Discussion Mosquitoes are vectors for pathogens such as West Nile Virus, Dengue (DV), Zika (ZIKV), and Malaria. Determining the abiotic factors that contribute to the spread of these diseases and the conditions under which mosquito habitats thrive are essential to mitigating mosquito populations and mosquitos as a public health threat. This study aims to assess the effect of tree density and tree concentration on mosquito populations and the correlation between tree density and mosquito species composition. Using photos collected from NASA Globe Observer, we investigated three different three by three- kilometer areas of interests representing various ecological settings within the surrounding Houston, Texas area. These photos were then analyzed using a GitHub program that assessed both tree number and density within each area. This data was then compared to a repres


Type Location in/outside burial site Type of Burial Dating Characteristics of HR MNI I Inside Ditch During use of the cemetery Well organised All elements of the human skeleton represented 100 II Inside Ditch During use of the cemetery Some areas well organised, others disorganised All elements of the human skeleton represented 250 III Outside Pit During use of the cemetery Disorganised All elements of the human skeleton represented 11 IV Outside No discernible grave outline After abandonment of cemetery Disorganised All elements of the human skeleton represented 28 V Inside Construction ditch During use of the cemetery Arranged perpendicular to construction ditch All elements of the human skeleton represented 22 VI Inside Grave During use of the cemetery Arranged justaposed to the skull of an individual in primary burial Clavicle, humerus, lumbar vertebrae, iliac, femur & tibia recovered 1 VII Inside Pit under a grave During use of the cemetery Disorganised Skull, upper & lower limb bones, scapula & iliac recovered 2 VIII Inside On top of a coffin During use of the cemetery With a clear arrangement Mandible, upper & lower limb bones, cervical vertebrae & sacrum recovered 3 IX Inside Construction ditch After abandonment of cemetery Disorganised All elements of the human skeleton represented 6 X Inside Inside a coffin During use of the cemetery Disorganised Skulls, upper and lower limb bones & scapulae recovered 5 Figure 3: Plan with photogrammetry of the excavated area, with approximate indication of the limits of the cemetery. Introduction This research explores the secondary depositions (SD) of human remains (HR) identified in Carmo cemetery (fig. 1-3). This site operated during a period marked by war and pan/epidemic disease in Porto (1801-1869). Data & Methodological Approach SD are defined as clusters of HR resulting from disturbances after primary burial. SD were classified based on location, bone dispersal, and spatial/stratigraphic patterns. “PIECING TOGETHER PAST STORIES”: COMMINGLED HUMAN REMAINS FROM THE CEMETERY OF THE THIRD ORDER OF OUR LADY OF CARMO (PORTO, PORTUGAL) Figure 1: Location of Porto on th e map of Portugal. Zélia Rodrigues[1,2], Anne Malcherek[1], Jorge Fonseca[2], Graça Pereira[2], Vítor Fonseca[2], Francisca Alves Cardoso[1] 1 Laboratory of Biological Anthropology and Osteological Human Remains (LABOH) - Centre for Research in Anthropology, NOV A Universit y o f Lisbo n – Schoo l o f Socia l Science s an d Humaniti es branch (CRIA-NOVA FCSH) / Associate Laboratory for Research and Innovation in Heritage, Arts, Sustainability and Territory (IN2PAST); 2 Arqueologia & Património, Lda. Acknowledgments We would like to acknowledge the people whose remains we have the privilege to study and care for, without whom this work would no t be possible. We would also like to thank all the members of the fie ld and laboratory work team, in particular Rodry Mendonça for his h elp with processing the photogrammetry and orthophoto data. SD: A lens for Understanding Past Populations This study shows the diversity of SD identified. Their analysis can provide insights into site formation dynamics and sheds light on human behaviour, social interactions, and cultural practices. Funding:This research is part of the BeFRAIL project (ref.2022.02398.PTDC; DOI:https://doi.org/10.54499/2022.02398.PTDC). It was further supported by CRIA - Center for Research in Anthropology Strategic DevelopmentPlan (UID/04038/2020) and IN2PAST -Associate Laboratory for Research and Innovation in Heritage, Arts, Sustainability and Territory(ref.LA/P/0132/2020/DOI:https://doi.org/10.54499/LA/P/0132/2020). Zélia Rodrigues PhD research is funded by Fundação para a Ciência e a Tecnologia (ref.2023.00944.BDANA), Francisca Alves Cardoso is also funded by the project Life After Death(ref.2020.01014.CEECIND/CP1634/CT0002/DOI:https://doi.org/10.54499/2020.01014.CEECIND/CP1634/CT0002.Funding:This research is part of the BeFRAIL project (ref.2022.02398.PT


El síndrome de deleción 22q11.2, síndrome velo-cardio-facial o de DiGeorge, ocurre aproximadamente en 1:1524-1:4000 nacidos vivos. Además de las afecciones físicas, entre el 20-40% de estos individuos acaban recibiendo el diagnóstico de esquizofrenia. Mujer de 28 años (CI:62), en seguimiento en psiquiatría desde 2013 por crisis clásticas de llanto y agitación ante pequeños estímulos estresantes o frustrantes. Acude a urgencias tras varios días de inquietud psicomotriz y alteraciones de conduta en el domicilio resultantes de la presencia de sintomatología delirante Psicopatológicamente: Consciente, orientada, abordable y colaboradora. Escaso contacto visual. Ánimo hipotímico. Ansiedad ideica y somática grave. Discurso circular centrado en ideación delirante de perjuicio. Vivencias de control, falsos reconocimientos. Resto sin alteraciones. Se filió el cuadro como trastorno psicótico agudo con predominio de ideas delirantes (F23.3) Entre los mecanismos más aceptados en la aparición de sintomatología psicótica en los pacientes con síndrome de DiGeorge se encuentran: Psicosis y Del22q11.2: a propósito de un caso. Reducción en los tractos de sustancia blanca observados en la corteza cingulada anterior -Reducción en el volumen de corteza entorrinal -Mayor activación del giro parahipocampal -Hiperactividad funcional en la corteza auditiva primaria -Maduración anormal del córtex prefrontal por disfunción dopaminérgica Risperidona 2mg/día Dosis crecientes de clozapina hasta 50mg/día Paroxetina 20mg/día La comprensión de la vulnerabilidad de estos pacientes a presentar sintomatología psicótica es crucial para el desarrollo de intervenciones centradas en su prevención, tratamiento y recuperación funcional. 1. INTRODUCCÍÓN 2. DESCRIPCIÓN DEL CASO 3. EXPLORACIÓN 4. DIAGNÓSTICO 5. TRATAMIENTO 6. DISCUSIÓN 7. CONCLUSIONES Martín García, Zahira1; Herrero Rodríguez, María Cristina2; Pedruelo Iglesias, Marina3; Domínguez Belloso, Francisco Javier4 1,2,3Residente de Psiquiatría del Hospital Universitario Río Hortega, Valladolid; 4Psiquiatra del Hospital Universitario Río Hortega, Valladolid. Bibliografía


○Large imaging datasets with hierarchical structure are becoming increasingly commonplace. Examples of such structure can be found in the related subjects of the Human Connectome Project[1] (n=1,200) and in the repeated measures in the Adolescent Brain Cognitive Development study[2] (n=12,000) and the UK Biobank[3] (n=100,000). ○The Linear Mixed effects Model (LMM), a popular extension of the linear model, is used for the analysis of longitudinal, heterogeneous or unbalanced clustered data[4]. ○The LMM utilizes numerical methods for parameter estimation[5]. However, this means heavy overheads are placed on memory and computation time for neuroimaging datasets. ○In addition, variability in the patterns of missing data near the edge of the brain can become problematic as sample sizes increase[6]. This variability can cause shrinkage of the ﬁnal analysis mask if only complete-data voxels are analysed. ○Here we present BLMM ("Big" Linear Mixed Models), an eﬃcient tool for large-scale MRI Mixed Model analyses. BLMM is implemented in python and designed for use on computational clusters. Thomas Maullin-Sapey1, Thomas Nichols1, 2 1. Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK. 2. Department of Statistics, University of Warwick, UK BLMM: Parallelised Computing for Big Linear Mixed Models Introduction Methods References Conclusion ○BLMM employs a Fisher Scoring algorithm for LMM parameter estimation. This allows for parameter estimation of a wide range of models to be estimated, including: - Hierarchical analyses involving thousands of input images. - Models involving multiple, unbalanced, potentially crossed, random factors. - Random intercept analyses for thousands of input images. ○BLMM accounts for missingness at a given voxel by "zero-ing" out subjects whose brain mask doesn’t include the voxel. The model at voxel v is: MvYv = MvXβv + MvZbv + Mvεv where Mv is a diagonal matrix with 0 diagonal entries for subjects missing data at voxel v. Both bv and εv are random terms with unknown variances. ○BLMM is computationally scalable as it works by partitioning X, Y and Z row-wise and having each processor calculate a part of the product matrices: X’X, X’Y, X’Z, Y’Y, Y’Z and Z’Z. Following this, the original matrices are discarded and the product matrices are used for computation. This means computation does not scale with n, but with the size of the ﬁxed and random effects design. ○We demonstrate BLMM on UK Biobank task fMRI data, faces-shapes effect, modelling data on the 1540 subjects, with up to 2 repeated measures each, with a 2nd imaging visit, for a total of 2833 scans (some data lost to QC failures). The model included random subject intercepts, cross-sectional effect of age (avg age per subject), and longitudinal time (inter-visit time in years, centered by subject) . ○BLMM is a freely available python-based tool for large scale Neuroimaging Linear Mixed Models. It is designed specifically to account for subject mask variability, memory constraints and computational performance. For more information, see: https://github.com/TomMaullin/BLMM 1 - Matthew F. Glasser, et al. (2013). The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage. 80: 105-124. doi: 10.1016/j.neuroimage.2013.04.127 2 - Casey B.J., et al. (2018). The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites. Developmental Cognitive Neuroscience. 32:43-54. doi: 10.1016/j.dcn.2018.03.001 3 - Allen N, et al. (2012). UK Biobank: Current status and what it means for epidemiology. Health Policy and Technology, 1(3); 123-126. doi: 10.1016/j.hlpt.2012.07.003] 4 - Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38(4):963-974. 5 - Demidenko, Eugene. (2013). Mixed Models: Theory and Applications with R. 10.1002/0471728438. 6 - Van Horn JD, et al. (2014). Human neuroimaging


IMMERSIVE … AND INCLUSIVE Networking Mentoring Role Models Social Capital* UNDERREPRESENTED GROUPS IN IMMERSIVE AUDIO 2% Female members of Atmos Facebook Group 8% Number of women presenting on spatial audio at AES conferences 1% Black Members of Dolby Atmos Facebook Group 9% Women working as mixers in Hollywood 8.4% Game audio professionals in the US are women + + = There are over 70 feminist groups focused on music tech, but none specializing in immersive sound. Industry based DEI initiatives. Access to training; skills include Dante (certiﬁcation), Dolby Atmos (certiﬁcation), but who will provide foundational knowledge. Industry based DEI training initiatives. Make visible the leading women and underrepresented professionals working in immersive Build a pipeline of skilled, underrepresented groups who can ﬁnd work in the ﬁeld SOLUTIONS Access existing networks to develop an affordable mentoring program in a safe environment which showcases role models (mentors who are women are members of other underrepresented groups), thus creating a pipeline of skilled, underrepresented groups with the necessary social capital to be able to work in immersive audio within the audio industry. * Pamela Laird, “Pull”. Successful example: Women’s Audio Mission (San Francisco, California, USA) trains over 3,000 girls and women per year. Classes are taught by women, in a studio built by women. Companies like Dolby and Pixar recruit from WAM. Elevating artists by changing the makeup of award bodies (Recording Academy, BAFTA) Leslie Gaston-Bird, PhD Candidate, IoSR University of Surrey http://iosr.surrey.ac.uk/projects/inclusive/ 16% Game audio professionals in the UK are women BARRIERS TO ENTRY MICROAGRESSIONS Pras et al. reveal experiences of underrepresented groups in the recording studio AFFORDABILITY Immersive sound taught in HE leads to more opportunities than being “self taught” SYSTEMIC RACISM AMPS, AES, the Recording Academy, BAFTA, and other organizations hold themselves accountable


Semantic Integration of Authoritative and Volunteered Geographic SCAN HERE Semantic Integration of Authoritative and Volunteered Geographic Information using Ontologies SCAN HERE g g Jimena Martínez Ramos, Arnaud Vandecasteele and Rodolphe Devillers Memorial University of Newfoundland A1B 3X9 St John's NL Canada [jmr125@mun ca] Memorial University of Newfoundland. A1B 3X9. St. John s. NL, Canada. [jmr125@mun.ca] abstract the method 1 3 VGI projects such as OpenStreetMap (OSM) have grown in the past few years Thi k i t d l method to handle semantic hetero eneit h i t ti VGI d VGI projects such as OpenStreetMap (OSM) have grown in the past few years, resulting in more accurate, complete and up-to-date datasets. As a result, governments are now interested in VGI as a reliable source of information. This work aims to develop a method to handle semantic heterogeneity when integrating VGI and authoritative datasets, while overcoming problems presented in other methods. • The first step is b ilding a domain ontolog th k l d t hi h Integrating geographic information requires solving semantic heterogeneity in a way that allows the identification of features in different datasets representing the same real phenomena We present a method for identifying • The first step is building a domain ontology, as the common knowledge onto which authoritative and VGI datasets can interface. It should follow standardization guidelines (ISO/TC 211 and OGC), since standards provide the structure for sharing and integrating geographic representing the same real phenomena. We present a method for identifying sets of homologous features in authoritative and VGI datasets. First, a domain ontology is used as a common knowledge among datasets. Second, ), p g g g g g p information [3] and there is still no standard to describe geographic features. We propose the General Feature Model (GFM) [4] as the starting point to develop the domain ontology. GFM is direct mapping from the datasets to the domain ontology is done, resulting in new datasets using the same vocabulary and therefore, interoperable. based on two main features, GF_FeatureType and GF_PropertyType, both are meta-classes representing, respectively, all feature classes and all their properties. We built a prototype for roads and railroads following this approach. the problem 2 roads and railroads following this approach. • The second step is performing the mappings between the datasets and the domain ontology. We choose R2RML [5] that can be used to express customized mappings from relational One of the main obstacles to a seamless integration of geographic information is semantic heterogeneity, which refers to the different ways datasets conceptualize real phenomena [1] This issue becomes even more difficult in We choose R2RML [5], that can be used to express customized mappings from relational databases to RDF [6]. A mapping file based on this standard is used to specify the mappings between each feature class to the concepts of the domain ontology. This way there is no need to conceptualize real phenomena [1]. This issue becomes even more difficult in the context of VGI datasets, due to their flexible and dynamic data models [2] where users can freely add new tags to the map. This way, semantic build an ontology for each dataset and mapping reuse is allowed. The R2RML mapping results in two RDF files populated with the individuals that originally were heterogeneity may occur inside OSM datasets: one real phenomenon could be represented with different tags for different users, and vice versa. features in the source datasets. After the mapping, individuals in the output files are representing the same real phenomena. Once mappings are defined, the output files are semantically interoperable. CAUSE EFFECT OUTCOMES METHOD Same reality, different conceptualizations CAUSE Semantic heterogeneities no interoperability EFFECT RDF outputs: interoperable files under the same conceptualization OUTCOMES Stand


[1] Sally Dean, “Amerta Movement and Somatic Costume,” in Sarah Whatley, Natalie Garrett Brown, Kirsty Alexander, eds., Attending to movement: Somatic Perspectives on Living in this World (Devon, UK: Triarchy Press, 2015). [2] Moshe Feldenkrais, Awareness Through Movement; Health Exercises for Personal Growth, 1st ed. (New York, USA: Harper & Row, 1972). [3] Karin Rosenkranz and John Rothwell, “The Effect of Sensory Input and At tention on the Sensorimotor Organization of the Hand Area of the Human Motor Cortex,” Journal of Physiology 561, No. 1 (November 2004), pp. 307-320. [4] Richard Shusterman, Body Consciousness: A Philosophy of Mindfulness and Somaesthetics, (Cambridge; New York: Cambridge Univ. Press, 2008), p. 1. [5] Frank Wildman, The Busy Person’s Guide to Easier Movement: 50 Ways to Achieve a Healthy, Happy, Pain-Free and Intelligent Body, 3rd revised ed. (Berke ley, USA: Feldenkrais Movement Institute, 2006). Educational strategies used in the Feldenkrais Method for developing body awareness To increase kinesthetic and proprioceptive sensitivity, first reduce muscular activation in the extensors of the torso by lying down horizontal [2, 5]. Create a learning environment that affords safe, distraction-free somatic attentiveness. To increase sensitivity to vibrotactile stimulation, reduce muscular activation in the extensor muscles of the back by supporting the torso through clothing, furniture, or other apparatuses (Figure 1). In addition, Haplós should be used in a quiet room. Start with movements of the torso (pelvis- spine-neck), which will likely stimulate movement and sensation in the more distal parts. Apply vibrotactile stimuli on the midline of the back with emphasis on the upper thoracic spine, since it is a part of the user that they usually do not get to touch and explore themselves. Increase the student’s ability to perceive subtle differences in kinesthetic and proprioceptive stimuli by moving just enough that they notice the movement. Facilitate self-curiosity and playful self- exploration in the student so that they can attend to their experiences in a value-free way Repeat a movement several times in order to notice differences in sensation as well as when there is a gaps in their kinesthetic awareness Strength and duration of vibrotactile stimulation should be just to enough to draw attention to the vibrated body part. Space vibrotactile motors just at the threshold of two-point tactile discrimination on the torso (2-3 cm) (Figure 2) Present Haplós not as a therapeutic tool but as a playful device. Make the patterns interesting to attend to by programming them to be “musical”—e.g., finding the balance between repetition and variation. Take advantage of the user’s ability to gradually identify and anticipate elements in a pattern by playing a pattern more than once before moving on to a new pattern, in order to train the user to uniquely distinguish the motors from each other Ask the student to start with a simple movement, advance to more complex variations of that movement, and then revisit the initial movement in order to find the ease of movement Ask the student to move always within the limits of comfort and ease, resting whenever they feel tired or when they feel their attention waning, promoting reorganization in the sensorimotor cortex Take advantage of the bilateral symmetry of the body by moving only one side at a time to create differences in sensations that can be compared across midsagittal plane (a “one- sided lesson”) [2, 5] Stimulate the user’s skin with structured patterns of vibrotactile stimuli that progress from the simple to the complex, before returning to the initial simple pattern. Provide users the option to create and change patterns on the fly (Figure 3), and to silence the motors at any time in order not to overstimulate the user. Apply the vibrotactile stimuli on only one side of the torso (see Figure 4). Related design principles for the technical specifications for an


sdu.dk Syddansk Universitetsbibliotek Mette Fentz Haastrupi, Our History Line Laursen Corydoni, Climate Future Fiction Year 2022+2023 Class (Stx) English Program 6-7 lessons Participants 9 high schools / 13 classes Outcome 252 Short stories / 154 Analysis Our History Year 2021+2022+2023 Class (Stx /Hhx) History Program 10 lessons Participants 7 high schools / 44 classes Outcome 250+ interviews / 300+ posters A Healthier Southern Denmark – The High School Panel Year 2019+2022+2023 Class (Stx/Hhx) Social Science Program 6 lessons Participants 8 high schools / 16 classes Outcome 59 posters Writes short stories (research data) Analyses short stories Feedback from researchers to students Collect interviews & process data (meta data) (research data) Analyses & interpret interviews Disseminates findings for researchers at a poster session Collect student data, incl. Interviewing the researchers Collect & process data Analyse & interpret Dissemination Climate Future Fiction Model for Engaging High Schools in Citizen Science Citizen Science Projects Berit Elisabeth Alvingi, Healthier Southern Denmark Analyses & interpret data Disseminates findings for researchers at a poster session Engaging High School Students ŝŶŝƟzen Science I SDU Citizen Science Knowledge Center Ref. Scientist Research Citizen Science Research & Education Program Co-designing Researchers • Present the project at a start-up event • Introduction to research area Researchers • Design research content, incl. data management plan • Communicate aim of research project Researchers • Interpret data • Dissemination Researchers • Formulate research questions • Identifying relevant subject areas in high schools Teachers • Co-creating education program (lesson plan & learning materials) • Participate in masterclass Teachers • Teaching Students • Learning (topic & methods) • CS activities • Collect & process data • Interpret data • Present findings at a closing event Data & new ideas for research areas Principals / Teachers • Knowledge coalition & Students Participations Evaluation education program & data Research ideation


Biodiversity in Knowledge Graphs Topics co-occurring with biodiversity in the scholarly literature, as visualized using SPARQL queries to Wikidata (left) and to MaRDI (right). Biodiversity in NFDI Knowledge Graphs Daniel Mietchen, Leibniz-IGB FU Berlin & Leibniz-FIZ & MaRDI & Wikidata DOI: 10.5281/zenodo.10997504 Abstract: Knowledge graphs are a mechanism to address the challenge of leveraging data from diverse sources for use cases not served by the individual sources alone. Already well established in some specific parts of the research ecosystem, they are currently experiencing a trend towards broader adoption, including in the context of the German National Research Data Infrastructure (NFDI). A number of knowledge graphs are run by or otherwise closely associated with NFDI consortia or their members. This work provides an overview of the landscape of NFDI-associated Knowledge Graphs and explores it from the perspective of biodiversity-related use cases. Knowledge Graphs used in NFDI contexts See also Shigapov et al. (2023) Dataset: an overview of knowledge graphs in NFDI 10.5281/zenodo.8124286 . Knowledge Graphs for NFDI4Biodiversity? Potential paths forward ●Leverage internal expertise, e.g. iKnow ●Consider use cases ●Leverage existing NFDI KGs ●Leverage existing biodiversity KGs ●Identify gaps in coverage/ usability ●Set up one or more NFDI4Biodiversity KGs? ●Curation by experts and/ or crowd? Key issues ●Ontology gaps ●Ontology mapping ●Licensing ●Consistency across use cases ●Scalability ●Sustainability of KGs and related infrastructures Knowledge Graphs covering biodiversity KG name KG URL Sample user FactGrid database.factgrid.de NFDI4Objects NFDI4Culture KG nfdi4culture.de/resour ces/knowledge-graph NFDI4Culture Wikidata wikidata.org NFDI4DS MaRDI portal portal.mardi4nfdi.de MaRDI ORKG orkg.org NFDI4Chem NFDI4Earth KG nfdi4earth-knowledge hub.geo.tu-dresden.de NFDI4Earth EU Data Portal data.europa.eu KonsortSWD KGI4NFDI@ BASE4NFDI base4nfdi.de/projects/ kgi4nfdi NFDI4 Microbiota See also Babalou et al. (2023) Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review KG name Sample content OpenBioDiv publications, taxa, journals, people Plazi taxonomic treatments, publications UniProt taxa, proteins, protein functions Ozymandias taxa, publications, people, journals GloBI taxa, biotic interactions Gene Ontology taxa, genes, gene functions Wikidata taxa, genes, publications, expeditions ORKG publications, methods, people DBpedia taxa, people, processes, genes SPARQL Microservices taxa, publications, images MeSH diseases, taxa, genes, processes Knowledge graphs can be queried in several ways, and some query types can be federated across KGs. Multiple queries involving the same entity types can then be combined into a profile for that entity type, as demoed here with a Wikidata-based taxon profile for Caenorhabditis elegans at https://scholia.toolforge.org/taxon/Q91703. See also Nielsen et al. (2017) Scholia and scientometrics with Wikidata. The work presented here was supported by the enKORE project under VolkswagenStiftung grant number 97 863, by the MaRDI project under DFG grant number 460135501 and in general terms by the Knowledge Graph community.


1. Lightkurve Collaboration et al., 2018 ascl:1812.013. 2. Hippke M., et al., 2019, AJ, 158, 143. 3. Günther M. N., Daylan T., 2021, ApJSS, 254, 13. 4. Southworth J., 2013, A&A, 557, A119. 5. Claret A., 2004, A&A, 428.1001C. 6. Zucker S., Mazeh T., 1994, ApJ, 420, 806. 7. Konacki M., et al., 2010, ApJ, 719, 1293. 8. Miller N. J., et al., 2020, MNRAS, 497, 2899. 9. Hełminiak et al., 2009, MNRAS,400.969H. Modeling Codes: We performed two runs using the following codes for LC modeling: ●ALLESFITTER (Günther & Daylan, 2021, 2019) ●JKTEBOP (Southworth 2013) Limb-darkening Laws: Initial values estimated using JKTLD based on Claret (2004) and used the following two laws for the two runs: ●Quadratic law in ALLESFITTER ●Logarithmic law in JKTEBOP Error Estimation: Two runs used different error estimation algorithms: ●MCMC with ALLESFITTER ●MC with JKTEBOP RV Modeling: We used to TODCOR algorithm (Zucker & Mazeh 1994) to extract the radial velocities and modelled them in V2FIT (Konacki et al. 2010). Photometric observations: Photometric observations from TESS covering the continuous observing zone i.e. 25 sectors. Fig. on the top-right shows lightcurves (LC) from sector 1 to 62 (1, 2, 4-12, 27-32, 34-39, 61 & 62). We used Lightkurve package (Lightkurve Collaboration et al., 2011) to extract the lightcurves with customize aperture and removed the scattered background light. We used Biweight method from WOTAN (Hippke et al., 2019) for detrending. Spectroscopic observations: Spectroscopic observations were taken with HARPS, FEROS, and CORALIE, under the CRÉME project and from the ESO archive, as well as with UCLES from Hełminiak et al. (2009). Long-term Stability of Solutions in Benchmark Stars: UX Mensae Ganesh Pawar∗1, Krzysztof Hełminiak1, Ayush Moharana1, and Tilaksingh Pawar1 1Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences, Toruń, Poland Eclipsing binaries (EBs) provide a direct determination of fundamental parameters, and detached eclipsing binaries (DEBs) offer highly accurate and precise stellar parameters. DEBs with accurate and precise fundamental parameters serve as ideal benchmark systems for testing stellar models and data analysis algorithms of PLATO. In this project we have utilized space-based photometry data from the Transiting Exoplanet Survey Satellite (TESS), observing the system UX Men for 25 sectors and time-series high-resolution spectroscopic data from the CRÉME project. We are analyzing the stability of lightcurve solutions and investigating factors influencing error rates. The primary goal is to determine the conditions for a DEB to be considered a reliable benchmark in stellar parameter determination. Ra/a →Radius of Primary Rb/a →Radius of Secondary (Ra+Rb)/a→ Sum of Radii i →Inclination of the Orbit k →Ratio of Radii J →Surface Brightness Ratio L3 →Third Light Ratio e → Eccentricity ω → Argument of Periastron M1→Mass of Primary M2→Mass of Secondary ●Errors cannot be solely estimated from single sector observation. We need to accommodate variations over sectors to obtain proper errors for a benchmark system. ●The cause of these variation is uncertain, it can be from instrumental or numerical origin and/or stellar activity. ●We plan to do a stability check on photometric estimation of effective temperatures (using Miller et al. 2020) compared to spectroscopic estimates (disentangling + spectral analysis). ●A detailed inspection will be conducted to investigate the probable cause of variations. Abstract: Analysis: Observations: Parameters: Results & Future Work: Parameters Ra/a Rb/a Inc. (i) k J L3 (Ra+Rb)/a e cos ω e sin ω M1 M2 0.092746 0.087309 89.6287 0.9414 0.9722 0.0208 0.1801 0.0198 0.0202 1.23 1.195 +1σ 0.000092 0.000583 0.007785 0.001047 0.001192 0.008153 0.000081 0.002137 0.007855 0.00149 0.00167 -1σ 0.00008 0.000487 0.00734 0.000866 0.001277 0.008918 0.000076 0.002331 0.008529 0.00149 0.00167 About the author: Ganesh Pawar is a 1st year PhD student at the Nicolaus Copernicus A


48 PACLITAXEL LOADED LIPID NANOEMULSIONS FOR THE TREATMENT OF BRAIN TUMOUR Mohammad Najlah1, Alisha Kadam2, Ka-Wai Wan2, Waqar Ahmed2 & Abdelbary Elhissi3 Background: Lipid nanoemulsions have been increasingly used as carriers for poorly soluble drugs owing to their biocompatibility and biodegradability. Paclitaxel (PTX) is an anticancer drug with wide activity against many types of cancer. However, the poor solubility in water is a serious limitation of this drug. Taxol is an established marketed formulation of PTX, which represents the drug dissolved in a vehicle consisting of ethanol and Cremophor EL (polyoxyethylated castor oil). Unfortunately, the toxic effects of Cremophor EL (nephrotoxicity, neurotoxicity, hypersensitivity, etc.) represent a significant drawback. In this study, we investigated commercially available Total Parenteral Nutrition (TPN) nanoemulsions, namely Intralipid 20% (Fresenius Kabi, Germany) and Clinoleic 20% (Baxter Healthcare, USA) nanoemulsions as vehicles and solubilizers of PTX and studied the efficacy of formulations against glioma cell lines and normal glial cells. Methods: PTX was loaded into the nanoemulsions via vortex-mixing for 5 min followed by bath-sonication for 2 h at 40°C (Drug concentrations of 0-6 mg/mL). Size analysis and zeta potential measurements were performed using dynamic light scattering and electrophoretic mobility respectively. The entrapped fraction of PTX was calculated using UV by subtraction of the non-entrapped fraction from the total drug amount after forcing the emulsions through 400 nm syringe filters and quantifying the drug retained in the filter. MTT studies were conducted to investigate cytotoxicity of the formulations against U87-MG (grade 4 glioma) and SVG-P12 (normal glial) cell lines. Results: Size was highly dependent on nanoemulsion type, being in the range of 254 – 264 nm for Clinololeic and 283 – 295 nm for Intralipid, depending on PTX concentration and polydispersity was generally higher for the Intralipid emulsion. Zeta potential values were negative for both emulsions with more intense charge for the Clinoleic formulations. Drug entrapment values were in the range of 70–80% and 44– 57% using for the Clinoleic and Intralipid formulations respectively. PTX-loaded Clinoleic decreased the viability of U87-MG glioma cells to 6.4%, compared to only 21.29% using PTX-loaded Intralipid nanoemulsion. Both nanoemulsions were less toxic to normal glial cells (SVG-P12), indicating selectivity of the emulsions against malignant cells. The higher entrapment in the Clinoleic emulsion correlated with the higher activity of its formulations against malignant cells. The difference in activity between the two emulsions is attributed to their different composition. Conclusions: Nanoemulsions are applicable vehicles for solubilizing PTX and acting selectively against malignant glioma cells. Moreover, the enhanced cancer targetability of nanoemulsions might be attributed to the nutritive value of lipids present in the nanoemulsions. 33 1 Faculty of Medical Science, Anglia Ruskin University, CM1 1SQ, UK; 2 Institute of Nanotechnology and Bioengineering, School of Pharmacy and Biomedical Sciences, University of Central Lancashire, PR1 2HE, UK; 3 College of Pharmacy, Qatar University, Doha, Qatar


Ilknur Icke1,2, Raquel Sevilla1, Gain Robinson1, Corin Miller1 (1) Merck Research Laboratories (MRL), USA (2) Boston University, Bioimaging, USA Generative Models for measuring pH using CEST MRI Abstract Non-invasive measurement of pH provides multiple potential benefits for identification of disease states such as in cancer, inflammation, hypoxia, and tissue injury. In oncology, non- invasive pH measurements may help identify proper chemotherapeutics, characterize tumors that are more likely to either respond to therapy or metastasize, and may also help better assess treatment response. AcidoCEST MRI techniques have been developed over the recent years to perform tumor pH measurements by utilizing a contrast agent for which chemical exchange with tissue water depends on the pH of the local microenvironment. Quantitative analysis of the CEST MRI signals is generally done via modeling of the Bloch- McConnell equations by incorporating chemical exchange as a parameter, or by fitting Lorentzian line shapes to observed Z-spectra and then computing a log ratio of the CEST effects from multiple labile protons within the same molecule (ratiometric method). Modeling using Bloch-McConnell equations requires careful inclusion of many scan parameters to infer pH, while the ratiometric method requires contrast agents with multiple labile protons, thus making it unsuitable for molecules with a single labile proton. Furthermore, depending on the pH, sometimes it might not be possible to accurately calculate the ratio due to the low signal to noise ratio (SNR) of the CEST signal for certain labile protons. To overcome these limitations, we developed a generative machine learning algorithm to predict in vivo tumor pH where the observed Z-spectra after contrast agent infusion is modeled as a perturbation on the observed Z-spectra before the contrast agent was introduced. In this scheme, perturbation is modulated by the contrast agent. A sub-network of the architecture is pre-trained on a separate phantom dataset where temperature and contrast agent concentrations were controlled prior to CEST MRI scanning and subsequently used as prior knowledge that modulates the perturbation caused by the infusion of the contrast agent into the body. Our results on an experimental study using animal models (mice) indicate that our machine learning method provides a more general and accurate prediction of pH in comparison to the ratiometric method. Our method is also more general in the sense that it does not require explicit modeling of signal peaks that are dependent on the type of contrast agent. Finally, this framework can be extended into use-cases where new probing materials and sensing technologies can be designed and tested in order to better understand the biological entities being studied. References [1] W. R. Hanahan D, Hallmarks of cancer: the next generation, Cell, 2011. [2] O. Warburg, On the origin of cancer cells, Science, 1956 [3] R. e. a. Martınez-Zaguilan, Acidic pH enhances the invasive behavior of human melanoma cells, Clinical and Experimental Metastasis, 1996 [4] Y. e. a. Kato, Acidic extracellular microenvironment and cancer, Cancer Cell International, 2013 [5] J. M. Goldenberg and M. D. Pagel, Assessments of tumor metabolism with CEST MRI, NMR in Biomedicine, vol. 32, no. 10, p. e3943, 2019. e3943 NBM-18-0007.R2. [6] C. LQ, H. CM, J. JJ, R. IF, K. PH, and P. MD, Evaluations of extracellular pH within in vivo tumors using AcidoCEST MRI, Magn. Reson. Med, 2014. Conclusions CEST MRI based tumor microenvironment characterization can benefit from generative machine learning methods that can be trained in an unbiased manner, independent of the contrast agent chemical properties. Background PhantomNET InVivoNET Methods Altered cell metabolism is one of the hallmarks of cancer [1]. It has been known since the 1930s that cancer cells “prefer” aerobic glycolysis to generate the energy they need (Warburg effect [2]), which increases the lactic a


The Common Fund Data Ecosystem (CFDE) Biomarker Data partnership project, involving six DCCs, is focused on the unifying concept of biomarkers, with scientific and clinical relevance, and tasked with organizing and harmonizing biomarker knowledge from numerous diverse sources, facilitating integrative data science use cases for CFDE researchers and the scientific community at large. The Illuminating the Druggable Genome (IDG) Data Coordinating Center (DCC) team at UNM is highly focused on clinical relevance as inferred from the large and diverse de-identified EHR databases from Cerner, namely (1) Health Facts and (2) Real World Data, with a focus on LOINC-encoded chemical lab tests. Specialized natural language processing (NLM) named entity recognition (NER) software from NextMove Software is employed for genes and proteins, resolved to standard IDs from HGNC or UniProt. Introduction CFDE Biomarker Partnership References Methods and Tools Discussion Conclusions and Next Steps RESULTS Clinically relevant precision molecular biomarker illumination powered by Cerner Real World Data Jeremy J. Yang, Vincent T. Metzger, Cristian G. Bologa, and Christophe G. Lambert University of New Mexico, School of Medicine, Department of Internal Medicine, Translational Informatics Division, Albuquerque, New Mexico, USA Common Fund Data Ecosystem (CFDE) All-Hands Meeting -- Bethesda, Maryland -- March 19-20, 2024 POWERED BY The central goal of the CFDE Biomarker Partnership, "… to develop a community-based biomarker-centric data model to harvest and organize biomarker knowledge for diverse biological data types," for which ontology development provides "semantic organization and integration of biomarker data to provide FAIR data representation." Within this overall goal, the IDG team is focused on clinical relevance, meaning the illumination and development of biomarkers with evidence for use by clinicians and patients and improved health outcomes. Existing lab test results are understood to be useful as biomarkers, supported by research findings, but often with great uncertainty and imprecision. Through retrospective, observational study of EHR data, labs can be associated with patient profiles and diagnoses, for improved applications as precision medicine tools. In addition, study of EHR data can ensure that the labs are in use and thus readily available. IDG-DCC Sub-project For the one-year CFDE Biomarker Partnership project, the objectives of the IDG sub-project are tightly scoped and focus on molecular biomarkers and almost exclusively human proteins measured in blood plasma. From the Cerner HealthFacts and RealWorldData databases, a set of molecular biomarkers is extracted and associated with evidence for clinical relevance, for inclusion in the partnership knowledge-base, and informing ontology development. Race Female Fpct Male Mpct African American 361145 14.42 240126 12.46 Asian 53718 2.14 38158 1.98 Asian/Pacific Islander 588 0.02 539 0.03 Biracial 3284 0.13 2741 0.14 Caucasian 1760688 70.30 1381007 71.64 Hispanic 15329 0.61 12479 0.65 Mid Eastern Indian 540 0.02 540 0.03 Native American 17233 0.69 13168 0.68 Not Mapped 26445 1.06 19805 1.03 Pacific Islander 4848 0.19 3585 0.19 Other 100728 4.02 75418 3.91 Unknown 69126 2.76 60177 3.12 NULL 90805 3.63 79996 4.15 TOTAL 2504477 100.00 1927739 100.00 Figure 1: Histogram of encounter count vs. age by gender for representative year 2016. Figure 2: Histogram of encounters vs. PSA by age group for males, representative year 2016. Figure 3: Mean encounter and patient count vs. year, for LOINC encoded laboratory test results in Cerner Real World Data. Figure 4: Schematic of biomarker-centric analytics integrating Common Fund and external data, with example human protein PSA. diagnosis_id diagnosis_co de diagnosis_description n_encounter 132782 I10 Essential (primary) hypertension 2360453 139829 E78.5 Hyperlipidemia, unspecified 1281935 142085 E11.9 Type 2 diabetes mellitus without complications


A workflow to observe single-cell morphogenetic features of developing mucociliary epidermis Mari Tolonen1, Varun Kapoor2, Jakub Sedzinski1 1 Novo Nordisk Center For Stem Cell Medicine (reNEW), Department of Health and Medical Sciences, University of Copenhagen, Denmark 2 Kapoorlabs, Paris, France During embryo development, cells undergo morphogenetic processes that shape tissues, involving various tissue extrinsic and intrinsic forces. These forces lead to cell rearrangements, but their impact on differentiation remains unclear. In the mucociliary epithelium, both collective and individual cell movements lead to shaping a functional epithelium. Cells collectively move, yet single cells in the deep layers intercalate as individuals. Neighboring cells adopt different fates due while intercalating, while also signaling reciprocally to regulate the differentiation process. To study these processes over time on both individual-collective scales, we analyze single cell behaviors in Xenopus embryonic mucociliary epithelium. Our goal is to reveal detailed developmental dynamics and gain insights into airway epithelia pathological conditions arising from defective epithelial development. U N I V E R S I T Y O F C O P E N H A G E N Novo Nordisk Center for Stem Cell Medicine (reNEW) Developmental stage blastula neurula tailbud gastrula Development of Xenopus mucociliary epithelium basal cell goblet cell multiciliated cell ionocyte progenitor cell smell secretory cell MariTolonen mari.tolonen@sund.ku.dk animal pole vegetal pole animal cap fibronectin coated coverslip Live imaging setup Segmentation Tracking Post-live labelling  backtracking acquisition start acquisition end (~17h) H2B-RFP E-Cad- GFP C-Cad- GFP raw signal StarDist nuclei segmentation 3D measurements by ellipsoid fitting with ImageJ plugin MorphoLibJ Cellpose cell segmentation object voxels kinetic features morphological features t Single-cell features for cell fate predictive models Nuclei labels TrackMate objects TrackMate trajectories dividing cell major axis minor axis daughter cell daughter cell detection zone Branching point – daughter cell detection TrackMate-Oneat branch correction ~5000 trajectories nuclei ROI goblet cell MCC basal cell top merge Cell type specific in situ HCR FISH cell type labelled spots ROI intensity quantification cell type labelled tracks Intensity quantification cell type labels Outline


RESEARCH POSTER PRESENTATION DESIGN © 2015 www.PosterPresentations.com Abstract The Alpha Magnetic Spectrometer (AMS) is a particle physics experiment installed and operating on board of the International Space Station (ISS) from May 2011 and expected to last through 2024 and beyond. The AMS offline software is used for data reconstruction, Monte-Carlo simulation and physics analysis. This paper presents how we manage the offline software, including the version control, the building, the documentation, the functional and performance testing, etc. As raw files are of raw events, physics analysis cannot be performed directly on them, instead, reconstruction is required to convert the original detector read outs to physical arguments. AMS Offline Software The AMS physics data format is based on CERN ROOT package. Each reconstructed AMS event is represented by ROOT tree object and contains the event header, with general information of the event (around 100 bytes), 8 bytes status word and (referenced) arrays (C++ STL vectors) of reconstructed objects like particle(s), track(s), cluster(s), etc. parameters (typically of 8 kBytes total size). On top of that, for every run the time based information is available, such as average geomagnetic cutoff, detector live time, ISS position parameters, temperatures and voltages of AMS electronics, etc. The timing precision of such data is about 100 milliseconds. The reconstructed event files are grouped together in an event summary file, usually one file per run. Dedicated AMS offline software is designed to serve both reconstruction and simulation: Reconstruction: raw events recorded by AMS detector on board of the ISS are converted to reconstructed events, containing all necessary parameters of the particle(s) crossing the detector and being ready for the further physics analysis. Simulation: Special data cards are given as the input of the offline software, to evaluate AMS detector performance using simulated events, taking into account the cosmic ray fluxes, the detector geometry and all relevant physics processes. The simulation contains two stages, simulating stage uses modified Geant4 library to generate raw events, and reconstruction stage shares exactly the same processing behavior as in the flight data reconstruction. Version Control AMS is using Concurrent Versions System (CVS) as the version control system for its offline software. CVS is a central controlled version control system and the repository (CVSROOT) 1Massachusetts Institute of Technology 2Beihang University V. Choutko1, A. Egorov1, A. Eline1, B. Shan2 Offline Software Management of the AMS experiment is located at a shared path where the clients can access. CVSROOT of AMS offline software is located on CERN AFS storage and accessible by all LXPLUS hosts. Contents: The AMS offline software contains not only the code to build the AMS reconstruction/simulation software, but also the scripts required for the production, for example, the production validation, the production job requesting, etc., and the code of various tools related to AMS offline computing, for example, the “event display”, the “fast ROOT reading”, “Slow Control Database”, etc. Access Control List (ACL): CVS has a simple access control mechanism relying on the ACL of the file system. AFS uses pts to define the group, so a pts group is defined to allow a group of user to be able to commit changes. Branches: The reconstruction and simulation software of AMS has several different branches. The main branch “vdev” is the latest version for simulation, and the branch “BXXX_patches” is the stable versions for flight data reconstruction, to keep unique data properties for data analysis. Migrating to Git Although CVS is a stable, simple, and efficient version control system, it has quite some limitations/issues compared to the modern competitors. Git a distributed version control system which was designed to be an opposite to CVS, which means, to take CVS as an examp


THIS STUDY ADDRESSES TWO QUESTIONS: 1) How much can dynamic & adaptive informal water tranfers affect overall water availability? 2) What are their limits in an increasingly stressed basin? Simple transfer mechanisms that operate within the current doctrine of prior appropriation can be used to ensure water deliveries for the users that engage in them. This study explores how such transfers affect water availability in the Upper Colorado River Basin within the state of Colorado, if applied to an increasingly larger scale. We explore this using an ensemble of scaling ‘rules’ that differ in when they are triggered, the number of rights they include and the degree of scaling they consider. Under an increasingly stressed future–where dry conditions are becoming longer and more frequent–we would like to understand the capacity of such adaptive behavior to modulate more extreme droughts. More specifically, we’d like to identify if and under what conditions adaptive water transfers become insufficient tools in ensuring both water availability for rights’ holders and deliveries downstream. Preliminary results show that while adaptively scaling of individual water demands generally increases water availability in the basin, the effectiveness of this mechanism varies as a result of its interactions with the hydrologic conditions it’s applied to. AUTHORS Antonia Hadjimichael1,2, Patrick M. Reed1, Chris R. Vernon3, Travis Thurber3 EXPLORING THE CONSISTENCY OF INFERRED WATER SHORTAGE VULNERABILITIES IN A MULTI-ACTOR, MULTI-SECTOR RIVER BASIN THROUGH THE USE OF DYNAMIC AND ADAPTIVE WATER RIGHT TRANSFERS RIGHTS’ HOLDERS IN WESTERN RIVER BASINS ARE ENGAGING IN FORMAL AND INFORMAL RIGHTS TRADING Such transfers modulate the effects of drought for downstream water users. Financial compensation from state agencies could also help augment the basin’s downstream deliveries. 1 School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA. Email: ah986@cornell.edu 2 Department of Geosciences, Penn State University, University Park, PA, 16802, USA 3 Pacific Northwest National Laboratory, Richland, WA, USA. This research was supported by the U.S. Department of Energy, Office of Science, as part of research in MultiSector Dynamics, Earth and Environmental System Modeling Program. MSD SCOPE AND INNOVATION OF EXPERIMENT 1 Create 600 exploratory adaptive demand scaling rules tailored to each user 2 3 4 Low Flow Trigger Reflects risk aversion to streamflow levels that have historically caused severe shortages Each rule is designed based on the values of three control variables: Percent of rights Scaling amount Percentage of rights in the basin that scaling is applied to Amount of scaling applied to each right Each rule affects each user differently depending on the seniority of their rights and the hydrologic conditions they are facing Test rules under increasingly stressed hydrologic conditions 1000 synthetic streamﬂows x 600 demand scaling rules = 600,000 model runs Perform computational experiment on high-performance computing resources Use 20,000 core hours to perform 600,000 model executions Looking at data for 350 users across all moder runs results in 259 billion records Compress outputs to much smaller storage volume using compressed .parquet file formatsing Manage and analyze dataset with SQL and DuckDB Use queries to process and store data in tabular formats (e.g., dataframes), while allowing for interactive analysis and visualization. INTEGRATED MULTISECTOR MULTISCALE MODELING Water user A Water user B Water demand at this location When scaling rules are applied they reduce water demand Effects on streamflow leaving the basin Streamﬂow under one hydrologic realization Effect of adaptive scaling rules on water availability Historical range of flows in the basin since 1908 Synthetically generated stochastic flows for the basin, assuming stationary conditions Synthetically generated stochastic flows for the basin, based on CMIP5


SI2-SSE: Development of a Software Framework for Formalizing ForceField Atom-Typing for Molecular Simulation Christopher R. Iacovella1 and Janos Sallai2 1 Department of Chemical and Bimolecular Engineering, Vanderbilt University, 2 Institute for Software Integrated Systems, Vanderbilt University Problem Domain References Acknowledgements This research is supported by the National Science Foundation through awards ACI #1535150. The availability of forceﬁelds for molecular simulation has reduced the eﬀort researchers must devote to the diﬃcult and costly task of determining the interactions between species, allowing them to instead focus on the motivating scientiﬁc questions. Determining which parameters in a forceﬁeld to use is often a tedious and error prone task. This diﬃculty is related to the fact that forceﬁelds are often quite expansive and can contain tens or hundreds of diﬀerent parameters for the same element where each parameter set represents the element in a diﬀerent chemical context. The chemical context can refer to: •the local bonded environment of an atom in a molecule •The local environment of neighboring atoms •The type of molecule(s) being considered •The phase of the molecule(s), etc. This is often complicated by the fact that a uniform standard for expressing chemical context does not yet exist, and thus parameter usage may be unclear. Typically, the ﬁrst step in determining chemical context involves examining the local bonded environment of an atom. For example, consider the chemical context of the terminal methyl group in an alkane (this is deﬁned as atom type opls_135 in the OPLS library4 provided with GROMACS5). This carbon atom has: •4 total bonds •1 bond with a carbon •3 bonds with hydrogens Thus the chemical context of this could be thus be expressed as a set of logic statements that all collectively describe the local environment, eﬀectively creating a rule. That is, if the statements collectively evaluate to True, then we add atom type 135 to our Whitelist, i.e., our list possible atom types. Consider the chemical context of the methyl group in toluene. The local bonding environment is essentially the same as the terminal methyl group in an alkane, even though diﬀerent parameters must be used. Thus the rule for the methyl group in toluene, requires us to be more speciﬁc. E.g., since we know that the carbon in the ring structure is OPLS atom type 145, we deﬁne: Here, atom type opls_148 is added to the Whitelist, and atom type opls_ 135 is added to the Blacklist, overriding the alkane rule. Logic-based Chemical Context Evaluating Rules Rules are evaluated via an ﬁxed-point iterative process until the Whitelists and Blacklists no longer change. The ﬁnal atom type is determined by identifying the diﬀerence between the Whitelist and the Blacklist for an atom, i.e., the single atom type that exists on the Whitelist but not the Blacklist. E.g., consider the methyl group in toluene of type opls_148: Whitelist: opls_135 opls_148 Blacklist: opls_135 This approach has several beneﬁts over hierarchical approaches: • all rules will be fully evaluated • rules do not have to be evaluated in a speciﬁc order • if the Whitelist contains multiple possible atom types at the end of evaluation, it allows a user to know that the rules are too general, and which rules are conﬂicting • if the Whitelist and Blacklist contain the same entries, i.e., no atom type can be determined, then it tells the user the element of interest is a new atom type for which a rule does not yet exist. Veriﬁcation and Testing The proposed approach is unique in that it provides two very distinct types of testing: Veriﬁcation. It is possible to programmatically verify that the set of logic-based annotations of a forceﬁeld are free from ambiguities and inconsistencies (without using speciﬁc test cases). We provide a veriﬁer tool to prove that the rules of the annotated forceﬁeld will always resolve all atoms of any input system to a single forceﬁel


www.avant-project.eu www.avant-project.eu Alternatives to Veterinary ANTimicrobials This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 862829. @avantproject @project-avant GROUP PARTNERS CONTACTS OBJECTIVES ABOUT Coordination: University of Copenhagen, lg@sund.ku.dk Communication: RTDS Group, avant@rtds-group.com Picture credits: ©2020 Shutterstock/RTDS Responsible for layout & content: RTDS Group AVANT aims to produce a complementary set of alternatives to treat or prevent post-weaning diarrhoea and respiratory infections: • Targeted treatment of enterotoxigenic E.coli infections • Alternative feeding strategies for sows & piglets • Gut-stabilising interventions based on a synbiotic (pre- & probiotic) feed additives • Faecal microbiota transplantation • Immunostimulating products (injectable & oral) • Novel veterinary medicinal products containing bacteriophages & polymers AVANT is a multi-actor inter-sectorial project aimed at developing alternatives to antimicrobials for the management of bacterial infections in pigs, especially diarrhoea during the weaning period. Use of antimicrobials in animals adds to the public health threat of multidrug-resistant bacterial infections in humans. Alternatives for the treatment of major bacterial diseases in livestock will help to mitigate the public health risk. ECONOMIC IMPACT INCREASED ANIMAL WELFARE PUBLIC HEALTH REDUCES ANTIMICROBIAL USAGE


This research was supported by the Deutsche Forschungsgemeinschaft, project number: 522896622. Semantic Dependency in Preposition Omission Miriam L. Schiele miriam.schiele@uni-tuebingen.de 1. Preposition Omission 4. Stimuli ●In elliptical clauses, prepositions are either kept (pied-piping) or dropped (P-omission): ●Merchant (2001) argues that P-omission is only licensed in languages which allow prepositions to be stranded, e.g., English: (1) Who did John go to the party with? ●In contrast, German does not allow such preposition-stranding: (2) *Wem hat sie mit gesprochen? ●Merchant’s generalization seems to be borne out for German, as pied- piping is preferred over P-omission (Molimpakis, 2019, Lemke 2021) Who did Peter talk to? (To) Bill. ●Example stimulus with semantic dependency: (3) A: Paul hat mit seinem Bruder auf etwas gewartet. ‘Paul waited for something with his brother.’ B: Ja, auf den Zug. (dependent, pied-piping) B′: Ja, den Zug. (dependent, P-omission) ‘Yes, (for) the train.’ ●Example stimulus without semantic dependency: (4) A: Paul hat mit jemandem auf den Zug gewartet. ‘Paul waited for the train with someone.’ B: Ja, mit seinem Bruder. (optional, pied-piping) B′: Ja, seinem Bruder. (optional, P-omission) ‘Yes, (with) his brother.’ 2. Semantic Dependency 5. Results ●Semantic dependency refers to the relation between the verb and the PP (Hawkins 2004) −the PP is required (e.g., believe in sth./sb., look after sb.) or −the PP is optional (e.g., swim with sb., smile at sb.) ●A corpus study on English revealed that P-omission is nearly four times more likely than pied-piping in the presence of semantic dependencies (Nykiel & Hawkins 2020) →The acceptability of P-omission seems to be influenced by whether the PP is semantically required or not ●However, whether semantic dependencies between the verb and the PP interfere with P-omission has not been tested for German so far Does German pattern with English? 3. Study Design ●2 x 2 factorial within subject design ●SEMANTIC DEPENDENCY: dependent or optional ●PREPOSITION: pied-piping or P-omission ●12 critical items plus 24 filler items and 3 attention items ●Stimuli are presented in a Latin square design in pseudo-random order ●32 native German speakers (29 used for analysis), recruited via Prolific ●Participants are asked to rate the naturalness of speaker B’s answer on a scale from 1 ‘fully natural’ to 7 ‘fully unnatural’ ●Pied-piping is significantly more acceptable than P-omission (t = 5.25, p < 0.01), but P-omission is not rated as ungrammatical (𝑥= 4.94), contra Merchant‘s generalization ●Significant interaction between PREPOSITION and SEMANTIC DEPENDENCY (t = 2.61, p = 0.03) →The degradation caused by P-omission is significantly lower in the presence of semantic dependencies References: Hawkins, J. A. 2004. Efficiency and Complexity in Grammars. OUP. • Lemke, R. 2021. Experimental investigations on the syntax and usage of fragments. Language Science Press. • Merchant, J. 2001. The Syntax of Silence: Sluicing, islands, and the theory of ellipsis. OUP. • Molimpakis, E. 2019. Accepting Preposition-Stranding under Sluicing Cross-linguistically; a Noisy-Channel Approach. Doctoral thesis. UCL. • Nykiel, J. & J. A. Hawkins. 2020. English fragments, minimize domains, and minimize forms. Language and Cognition 12(3), 411-443. 6. Conclusions ●Findings pattern with results from corpus study on English ●Semantic subcategorization influences syntactic form ●Cross-linguistic research is needed to fully validate/falsify Merchant‘s generalization Main takeaway: The strength of the semantic dependency between the verb and the PP seems to be a more reliable predictor of P-omission than a language’s ability to strand its prepositions Pied piping P omission Preposition aw ratings dependent optional


SI2-SSE: GraphPack: Unified Graph Processing with Parallel Boost Graph Library, GraphBLAS and High- Level Generic Algorithm Interfaces Andrew Lumsdaine (PI), Kevin DeWeese, University of Washington {al75,deweeskg}@uw.edu Motivation ＞Graphs are a powerful abstraction that represent (arbitrary) relationships between (arbitrary) entities ＞Graph theory does not depend on particular entities or relationships (abstract algorithms) ＞Software does depend on particular entities and relationships (concrete data structures) ＞A generic library allows domain abstractions to be used directly with library algorithms (no conversion to library types needed) Algorithms (Current List) Performance: Triangle Counting Tech Transfer Concepts / Generic API Example: BFS Award 1716828 Parallelization Architecture ＞Open Source Release April 2020 https://https://gitlab.com/al75/bgl17 ＞Proposal to ISO C++ Standards Committee SG19: P1709 ＞Parameterized parallelism with C++ execution policies ＞Sequential, shared memory threads, accelerators ＞(Explicit parallelism with C++ tasks) ＞“There are no graphs” ＞Generic algorithms specify requirements on their input types ＞Generic libraries contain useful algorithms organized around classifications of these requirements (“concepts”) ＞Satisfied, e.g., by ＞Only need standard library containers to use graph algorithms ＞Breadth First Search ＞Depth First Search ＞Connected Components ＞Triangle Counting ＞Bellman-Ford ＞Page Rank ＞Maximal Independent Set ＞Dijkstra ＞Edmonds-Karp Max Flow ＞Boykov-Kolmogorov Max Flow ＞K-core ＞Jones-Plassmann Coloring ＞Brandes Betweenness Centrality ＞(More to come) ＞Fully generic library C++ library matches or exceeds performance of benchmark code (Beamer GAP benchmark) ＞32-core dual-socket Xeon adjacency<0> A { /* initializer... */ }; std::vector<size_t> distance (A.size()); std::vector<vertex_id_t> predecessor(A.size()); for (auto&& [u, v] : bfs_edge_range(A)) { distance[u] = distance[v] + 1; predecessor[u] = v; } ＞Range adapters allow traversal in specified (algorithmic) order ＞Build on significant prior work by PI (BGL, PBGL, AM++, GBTL) ＞Refactor and modernize for C++17 and beyond


Internet Technology and Data Science Lab (IDLab), Ghent University - imec Jelle Vanhaeverbeke, Maarten Slembrouck and Steven Verstockt jelle.vanhaeverbeke@ugent.be / http://idlab.ugent.be / http://idlab.technology HELICOPTER VIDEO GEOLOCALIZATION FOR CYCLING RACES • Retrieve road path • For satellite by race course GPX • For helicopter by road segmentation model (U-Net style) • For each pixel on road: interpolate pixels perpendicular along the path • Slide helicopter representation over satellite representation • Calculate normalized cross correlation • Future: build ML model for better correlation matching Straight Road Transformation Correlation Matching helicopter satellite correlation (blue ➡red) best match ✅ helicopter satellite correlation (blue ➡red) best match ✅ helicopter satellite correlation (blue ➡red) best match ❌


New Zealand ORCID consortium Our Integrations orcid@royalsociety.org.nz In-house integration - one of our main funders is now collecting authenticated iD and requesting permissions for future use, with the aim of writing successful funding to recipients in the near future. 24 Hub users One PURE user At least 6 Symplectic Elements users At least 3 other integrations Our ORCID numbers Through the NZ ORCID Hub we have written 2154 Affiliations across 24 organisations 244 Funding items for our blue-skies research fund One organisation writing works, and several trialling this. One organisation using and one trialling the Hub's own API. NZ ORCID Hub is our national integration: a simple user interface allowing organisations to collect authenticated ORCID iDs, gather permissions and read from and write to all parts of the ORCID record. API 3.0 functionality coming soon... NZ National Academy encompassing science, technology and the humanities. Nationally recognised organisation. Works across the whole research sector. Seen as a 'neutral organisation'. Our Consortium Lead Our advisory committee is a crucial link between our member organisations and the lead agency. We have one representative from each sector of the research community on our committee. Our Advisory Committee Contact us We are committed to building a community of practice: Quarterly consortium newsletter with regular 'success stories'. Fortnightly NZ Hub demos showcasing the latest developments. Sharespace on our website where members can share their ORCID engagement resources. Town Hall meeting for our members Lead agency supports ORCID drives - design and printing of resources and ORCID swag. Currently, 51 member organisations in the consortium. Our Community kiwis are endangered kiwis have whiskers kiwis are nocturnal kiwis have tiny wings but can't fly kiwis' feathers are more like fur kiwis have nostrils at the end of their beak Our kiwis


EEG CORRELATES OF HUMAN-RHYTHM INTERACTION DEPARTMENT OF INFORMATION TECHNOLOGY, WAVES Wannes Van Ransbeeck, Dick Botteldooren, Sarah Verhulst, Marc Leman The scene Within the metaverse a tendency exists towards a seamless and intuitive interaction in the virtual world by an immersive and interactive environment. Capturing user sensation and experience during the interaction can help to build and maintain this immersion in any interaction or context, including music and rhythm. Furthermore, it may extend or improve an interaction into creating a lasting meaningful interaction. Besides physical user inputs or pupillometry, the brain shines a relevant light on this interaction. Hence brain monitoring and bio-synchronization can be a relevant tool for user analysis of the experience. The issue The main techniques used for neural analysis in relation to music perception and experience encompass two fields being frequency tagging and phase synchronisation. The former deals with the manifestation of the stimuli frequencies while the latter considers band activity as it synchronised to presented rhythms and its prolonged continuation. The syncing of brain, neural entrainment as you will, has opened a lot of research into evaluating rhythm and music perception, prediction and also the evoked emotion. However, despite being a topic of major interest in neuroscience, correct non-invasive quantification of this entrainment seems difficult. Especially when it comes to defining the emotion, experience and sensation without providing misinterpretation [1]. A fundamental linkage between user experience, interaction and neural markers has still not been fully explored and pilot data of a suggested approach is presented here. Plan Pilot data and experiment setup are presented in this poster. This aimed at exploring potential brain markers in relation to synchronicity of a performance and associated questionnaire responses to identify bio- indicators of a good human-rhythm interaction and through it identify entrainment and user experience. Figure 1: Illustration of band activity fluctuation for 6 beats and 3 taps. Setup A finger-taping experiment with variable beat patterns will be conducted on a cohort of 15 subjects, in which a subject synchronizes its tapping to the auditory presented rhythm or a variation of it. The accompanying auditory rhythm can be either a binary, ternary or metronome rhythm in a 6 beat measure controlled by a computer or second participant. The subject will either perform the binary or ternary rhythm. During the synchronization both spectral band activity and the low rhythm-frequency content of the EEG activity will be evaluated locally in time and across the experiment. Two spatial filters, based on localizer trials, will allow separation of sensorimotor and perceptual activity to study their response separately. The quality of the rhythm interaction quality is defined on the basis of the physical performance (mean asynchrony and resultant vector), questionnaires and additionally builds on the theory of human embodiment within music interaction. Figure 2: Spectral activity at stimulation frequencies for 2 beats and 3 taps (polyrhythm), for motor components (MOT IC3) and auditory responses(AUD IC16) as well as individual electrodes. Figure 3: Localiser for motor (left) and auditory(right) activity. Figure 4: Illustration of location of stimulation frequency in the brain. Results & Discussion Initial analysis was conducted and allowed extraction of both spectral band activity in windows around tapping instances (Figure 1), frequency activity across the entire experiment at stimulation frequencies (Figure 2), localizer data on separate motor and auditory components (Figure 3) and identification of frequency specific activation regions in the brain (Figure 4). Spectral influence of the sphere visualization illustrated clear effects on spectral content at stimulation frequencies and accuracy throughout the experiment prov


Innovative Research for a Sustainable Future www.epa.gov/research Yue Ge l ge.yue@epa.gov l 919-541-2202 Investigating Steatosis Susceptibility in Pancreas Tissue of Mouse in Response to Vinyl Chloride Exposure aYue Ge, aMaribel Bruno, aBrian N. Chorley, bMatthew C. Cave, cJuliane I. Beier a US Environmental Protection Agency; RTP, NC 27711; b University of Louisville; c University of Pittsburgh Objective Methods Results Conclusions Alterations in physiological processes in pancreas have been associated with various metabolic problems and fatty disease syndromes, such as inflammation, fibrosis, necrosis, abdominal obesity, and steatosis. The alterations of normal pancreatic functions can result from environmental exposures, such as chemicals and diets, which can impact susceptibility to metabolic problems and fatty diseases. It has been reported that environmental vinyl chloride (VC) exposure significantly increased steatosis in mice fed a high‐fat diet (HFD) but not low-fat diet (LFD). However, little is known about molecular basis such as toxicity pathways and biomarkers and toxic mechanisms underlying the VC- increased environmental susceptibility, steatosis and other fatty disease induced by HFD. The present study was undertaken to examine the protein responses to VC exposure in pancreas tissues of C57BL/6J mice fed LFD or HFD, with focus on the investigation of the changes at expression and/or phosphorylation levels of some protein biomarkers of fat metabolisms, and key regulators of steatotic pathways such as cell proliferation and differentiation, fatty acid oxidation , energy metabolism, cell adhesion and migration, oxidative stress, and inflammation. Our hypothesis is that the protein alterations may modify the environmental susceptibility of mouse to the existing steatotic pathways and adverse outcomes induced by HFD after the exposure to VC. Six-week-old C57BL/6J mice (Jackson Laboratory) fed LFD or HFD (Envigo Teklad Diets, Madison) were exposed to VC (targeted concentration: 0.1 ppm) by air inhalation in chambers for 6 hours per day, 5 days per week for 12 weeks. The pancreas tissue samples were homogenized using polytron for 20sends in the buffer containing 150 mM NaCl, 20 mM Tris pH 7.7, 1mM EDTA, 1 mM EGTA and 1% Triton X-100. After incubation in ice for one hour, the homogenized tissue samples were then centrifuged at 10,000 g for 10 minutes. The supernatants containing total tissue proteins of pancreas were analyzed for identification of changes at expression and/or phosphorylation levels of protein biomarkers using a combination of 200 Mouse cytokines array (QAM-CAA- 4000, Raybiotech, Norcross GA) and Western blot. Pancreas tissues from four groups of mice treated with LFD, HFD, LFD+VC, LFD+VC were used for the study. The accession numbers, relative fold changes, and IDs of the differentially altered proteins were tabulated and imported into ingenuity pathway analysis (IPA) for identification of top canonical pathways, toxlists, molecular and biological functions, biomarkers, and protein interaction networks that were regulated by the identified proteins. Figure 1: Hierarchical clustering of differentially expressed and phosphorylated proteins in in pancreas mice treated with LFD and HFD with or without VC. Blue areas represented downregulation and red ones represented upregulation of proteins. As shown in Fig 1, different treatment groups (LFD, LFD+VC, HFD, or HFD+VC) were distinctively separated (left side of the Figure), which suggested that protein expression and phosphorylation patterns in pancreas proteome of mice treated with LFD, LFD+VC, HFD, or HFD+VC are different, and HFD-induced protein change is similar as the one induced by HFD+VC, as compared to those induced by LFD and LFD+VC. The lower portion of the dendogram depicted seven main clusters and each cluster usually consisted of two proteins. These clusters included the cluster of TCK-1and PIGF2, Eotaxin 2 and CD48, GSTµ and pAKT, cystatin C an


Fidelity(and(Uncertainty(in(Climate(Data(Records(from(Earth(Observa:on( (FIDUCEO)( Christopher(J.(Merchant(University*of*Reading,*UK*! Jonathan(MiBaz(University*of*Reading*and*Na4onal*Physical*Laboratory,*UK**! Emma(Woolliams(Na4onal*Physical*Laboratory,*UK! Overview( ( Well%characterised!uncertain0es!are!crucial!if!Climate!Data!Records!(CDRs)!are!to!be!properly!exploited.!!! Our!understanding!of!CDR!uncertain0es!is,!however,!currently!limited.!!For!example,!how!trustworthy!is!the! uncertainty!on!a!given!measurement!of!a!climate!variable?!If!we!compare!a!measurement!now!with!one! obtained!a!few!decades!earlier,!how!uncertain!is!the!apparent!change?!To!what!extent!do!instrumental!and! mul0%mission!(in)stability!limit!the!conclusions!that!can!be!drawn!about!clima0c!trends?!!! ! The!objec0ve!of!the!FIDUCEO!project!is!to!develop!new!methods!to!such!these!ques0ons!for!CDRs!derived! from!satellite!observa0ons.!The!methods!will!be!developed!by!adap0ng!insights!and!techniques!from!the! discipline!of!metrology,!the!“science!of!measurement!uncertainty”!and!of!uncertainty!traceability.!They!will! be!demonstrated!!across!microwave,!infra%red!and!visible!domains.!! Example(metrologyHbased(analysis:(( Tracing(cumula:ng(uncertain:es(in( AVHRR(thermal(radiance(data( ! An!“instrument!model”,!such!as!that!below,!captures!the! physical!eﬀects!and!data!transforma0ons!that!determine!the! calibrated!radiance!that!is!the!“level!1”!product!from!a!sensor! such!as!the!Advanced!Very!High!Resolu0on!Radiometer.! ! In!this!example!below,!reference!measurements!from!other! sensors!are!used!for!cross%calibra0on,!to!improve!on!the! nominal!pre%launch!characterisa0on!using!data!in!ﬂight.! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! The!magnitudes!and!correla0on!proper0es!of!error! distribu0ons!for!radiance!data!given!the!new!calibra0on!and! instrument!behaviour!can!be!characterised!by!error!modelling! and!propaga0on!through!all!elements!of!the!corresponding! “uncertainty!chain”.! ! In!FIDUCEO,!new!harmonised!level!1!datasets!in!an!easy%to%use! FCDR!format!will!be!created.!This!will!apply!state%of%the%art! calibra0on,!and!include!rigorous!uncertainty!informa0on,!using! uncertainty!chains!as!discussed!above.! ! Easy%FCDR!datasets!will!make!it!much!easier!for!uncertainty% characterised,!harmonised!geophysical!datasets!to!be!derived! from!several!important!series!of!instruments!(AVHRR,!HIRS,! AMSU,!Meteosat).!In!this!way,!FIDUCEO!is!intended!to!enable! widespread!rigorous!exploita0on!of!long%term!satellite!data!for! new!climate!variables.! Earth& Space& (electronic&clamp)& Detector& (δC)& Internal&Calibra7on&Target& Thermal& Gradients& PRT&Biases/& uncertain7es& Digi7za7on& Interpola7on/& Smoothing& SRF& (δSRF)&& Emissivity&& (nonFblackness)& ε& Solar& scaIering& Earthshine& Colloca7on&to&Reference& Geoloca7on& uncertain7es& SRF&conversion& uncertain7es& Time&diﬀerences& ΔR& (δΔR)& NonFlinear&ﬁt& Instrument& model&error& Calibra7on& Equa7on& Top&of& Atmosphere& Reference& (A)ATSR/IASI& etc& REarth(+RInstr(E)) RInstr(sp) RICT + RRel CEarth(δC),CICT,CSpace( δC 10 ) RICT (+RInstr(ICT)) (δRICT ) TICT (δTICT ) REarth(calibrated)+δR a0,Δε,a1,a2 (δa0,δΔε,δa1,δa2) Concept(of(FIDUCEO(project( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( FIDUCEO!will!create!new!methods,!tools,!training!and!datasets.! ! The!new!methods!will!address!new!physics%based!harmonisa0on!techniques!for!series! of!key!sensors,!and!corresponding!es0ma0on!of!all!signiﬁcant!components!of! uncertainty!(including!pixel!level!and!long!term!stability)!in!a!metrologically!robust! manner.! ! The!applica0on!of!these!methods!within!the!project!will!lead!to!four!new!Fundamental! Climate!Data!Records!(FCDRs)!–!Meteosat!(VIS),!AVHRR!&!HIRS!(IR)!and!microwave! humidity!sounders!(MW).! ! Based!on!these!FCDRs,!within!FIDUCEO!we!will!demonstrate!extension!of!the! metrological!approach!to!geophysical!datasets!(CDRs).!The!CDRs!will!address!upper% tropospheric!humidity,!surface!temperature!and!albedo,!and!aerosol!op0cal!depth.!! ! ! ! ! ! ! ! ! !


M. LOUVIOT1, N. SUAS-DAVID2, S. KASSI3, M. REY4, V. BOUDON1, R. GEORGES2 1 Laboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS/Université de Bourgogne, 9 Avenue Alain Savary, BP 47870, F-21078 Dijon Cedex, France, 2 Institut de Physique de Rennes, UMR 6251, Campus de Beaulieu, Bât 11C, Université de Rennes 1/CNRS, F-35042 Rennes Cedex, France 3 Laboratoire Interdisciplinaire de Physique, Univ. Grenoble 1/CNRS, LIPhy UMR 5588, Grenoble F-38041, France 4 Groupe de Spectrométrie Moléculaire et Atmosphérique, UMR CNRS 6089, Université de Reims, U.F.R. Sciences Exactes et Naturelles, B.P.1039, 51687 Reims Cedex 2, France ! Here, we highlight the presence of two rotationally cold gas into the jet since Boltzmann plots show two signiﬁcant slopes. It demonstrates that the jet is composed of two regions: the isentropic core or the silence zone and the boundary layers surrounding the core due to the residual gas in the chamber at the thermodynamic equilibrium. This second contribution is thus rotationally hotter than the core. 1. Experimental setup 2. Aims of the setup and experimental results Introduction 4. Analysis of the CH4 spectrum Conclusion and perspectives 0 1000 2000 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 11000 12000 13000 14000 P0: Ground State 1 P1: Dyad 2 P2: Pentad 9 P3: Octad 24 P4: Tetradecad 60 P5: Icosad 134 P6: Triacontad 280 P7: Tetracontad 538 P8: Pentacontakaipentad 996 P9: Heptacontad 1746 Simulated spectrum × 100 Huygens DISR/ULIS ï Altitude 30 km Saturn at 727 nm = 13755 cmï1 Titan, CH4 window 939 nm = 10650 cmï1 Number of vibrational sublevels Wavenumber / cmï1 This work: analysis of hot CRD spectra of the Tetradecad region of methane. ! The study of speciﬁc astronomical objects like brown dwarfs and giant exoplanets is currently relevant in the astrophysics ﬁeld. ! Despite the difﬁculty to fully exploit the numerous spectroscopic data recorded, the presence of hot methane in the atmosphere of these bodies is well known. ! This encouraged us to use an original experimental setup developed at Institut de Physique de Rennes to record absorption spectra of a hypersonic gas expansion – initially heated at high temperature – with the high sensitive cavity ring down spectrometer (CRDS) developed by the Laboratoire LIPhy de Grenoble. ! The analysis was performed at Laboratoire Interdisciplinaire Carnot de Bourgogne in cooperation with of the Groupe de Spectroscopie Moléculaire et Atmosphérique in Reims. The polyads of methane Ar Ar Towards pumping Hollow porous graphite rod High-pressure reservoir (~1000 Torr) Low-pressure chamber (~0.09 Torr) High reﬂectivity mirrors (>99.99%) Copper electrode Non porous graphite pierced electrode (2 mm hole) Argon protecting ﬂow Hypersonic gas expansion Diode laser probe beam ! Two mixtures have been used: ﬁrst, a mixture of argon and carbon monoxide and second, a mixture of argon and methane. Mixtures were contained at high pressure in a reservoir (~ 1000 Torr) and heated at very high temperature (~ 2000 K), thanks to the high enthalpy source developed at IPR [1]. ! The High Enthalpy Source, developed in Rennes [1] was connected to a low pressure chamber (~ 0.09 Torr). The gas jet was performed through a 2 mm circular hole. ! The CRD spectrometer, developed by the LAME group from the LIPhy laboratory in Grenoble, has been placed perpendicularly to the axis of the jet to record the absorption spectra. ! High-resolution spectra of CO and CH4 have thus been investigated in the [5920-6030] cm-1 infrared spectral range. Five laser diodes have been used to cover this region (~ 30 cm-1 per laser diode). [1] J. Thiévin, R. Georges, S. Carles, A. Benidar, B. Rowe and J.-P. Champion, High- temperature emission spectroscopy of methane, J. Quant. Spectrosc. Radiat. Transfer, 109, 2027 —2036 (2008). ! The principle of this setup is the production of hypersonic gas expansions. This has been possible thanks to a high pressure reservoir connected to a low pressure chamb


RESEARCH POSTER PRESENTATION DESIGN © 2019 www.PosterPresentations.com In 2023, Digital Humanities Research Institute at Siberian Federal University starts a working prototype of a research digital infrastructure for the aggregation, preservation, dissemination of Siberian historical and cultural heritage for historical, literary, ethnographic, art history and other kinds of research at the intersection of the humanities and computer sciences — Siberiana.online The aim of the project is to launch a long-term initiative for digitization, analysis, and curation of the different collections of cultural heritage of the Central Siberia (so-called Angara-Yenisei macroregion). The project is designed for research and education needs of the digital humanists at Siberian Federal University and world over, because judging by the current literature Siberian artifacts and collections evoke a steady interest (Kizhner et al, 2021). We took several online resources for benchmarks. Europeana (pro.europeana.eu) is the benchmark for metadata organization, Wikidata (wikidata.org) gives good examples for data identification and linking open data, Global Digital Heritage (GlobalDigitalHeritage.org) is the reference point for cultural and historical objects presentation, and PhotoGrammar(PhotoGrammar.org) is the example we’re focusing on successfully combination of retrieval, analysis, and mapping of the artifacts in different collections. SIBERIANA.online SIBERIANA PROJECT SIBERIANA’S FACETED CLASSIFICATION For the prototype reasons of Siberiana, the following database fields for faceted classification were the obligatory: what (object type), when (time period), where (location), where it is stored (institution), as well as copyright or open license information. Siberiana is plotting as a digital model of the historical, cultural, and natural heritage of the Angara-Yenisei macro-region. Our goal is to unlock the potential of this heritage resources in two dimensions. For all types of users: it's to make such content easily accessible, visually well-presented, conveniently organized, and for researchers: it’s to provide a wide coverage of collections, valuable services for exploratory data analysis, to give a platform for collecting specific research data for a significant agenda (Kizhner et al, 2022). Thus, historical, cultural, and natural heritage should be understood as a resource that allows people to make life interesting, rich, valuable, and in some respects socially significant. REFERENCES • Kizhner, Inna / Terras, Melissa / Manovich, Lev / Orekhov, Boris / Kim, Igor / Rumyantsev, Maxim / Bonch-Osmolovskaya, Anastasia (2022). “The history and context of the Digital Humanities in Russia”, in: Global Debates in the Digital Humanities (Eds Domenico Fiormonte, Sukanta Chaudhuri). University of Minnesota Press: 55-70. • Kizhner, Inna / Terras, Melissa / Rumyantsev, Maxim / Khokhlova, Valentina / Demeshkova, Elisaveta / Rudov, Ivan / Afanasieva, Julia (2021). “Digital cultural colonialism: measuring bias in aggregated digitized content held in Google Arts and Culture”, in: Digital Scholarship in the Humanities, V. 36, Is. 3: 607–640. • Kizhner, Inna / Terras, Melissa/ Rumyantsev, Maxim / Sycheva, Kristina / Rudov, Ivan (2019). “Accessing Russian culture online: The scope of digitization in museums across Russia”, in: Digital Scholarship in the Humanities, V. 34, Is. 2: 350–367. • “Siberiana”. Aggregator of historical and cultural heritage of the Yenisei Siberia. URL: https://siberiana.online/ [26.06.2023] CONTACT Digital Humanities Research Institute at Siberian Federal University: DHRI.ru Andrei Volodin – email: Volodin@hist.msu.ru | telegram: @andreivolodin | twitter: @avolon Polina Senotrusova (psenotrusova@sfu-kras.ru), Oleslav Antamoshkin (oantamoskin@sfu- kras.ru), Inna Kizhner (inna.kizhner@gmail.com), Maksim Rumyantzev (mrumyantsev@sfu- kras.ru), Nikita Pikov (npikov@sfu-kras.ru), Andrey Gruzdev (agruzdev@sfu-kras.ru) The main aim of Sibe


COUNTRY Spain KEY WORDS HTC, biocoal, heating power, biomass DISCLAIMER This Practice Abstract reflects only the author’s view and the BRANCHES project is not responsi- ble for any use that may be made of the informa- tion it contains. 14 HTC of biomass Ingelia, a company dedicated to the commercialization of bi- omass and organic residues, has developed an HTC technolo- gy plant at industrial scale. The plant was built in 2010 in Va- lencia and is able to process organic residues in continuous operation mode, therefore demonstrating the feasibility of this technology. In 2015, a second reactor was installed. The technology allows on the one hand to concentrate the heating value of the input biomass on a solid biofuel (around 24 MJ/kg), and on the other hand, to produce a fertilized wa- ter. The input material can be almost any type of wet organic residue (for instance the organic fraction of the urban resi- dues, sewage sludge, agro-forestry residues or agri-food resi- dues, pruning, etc.). During the hydrothermal carbonization process, the wet bio- mass is carbonized into biocoal. The product is then refined (removing impurities such as metals, stones, glass, etc.) and dried. Finally, a powered biocoal can then undergo a pelletiz- ing or briquetting. The process also allows to extract biochem- ical compounds from some biomasses /residues. The rectors are modular, with a processing capacity between 5000 and 10000 t/year per reactor and the number of reac- tors can be adapted according to the project needs. The biocoal obtained has many advantages starting with a competitive market price, homogeneity regardless of the bi- omass introduced in the process and an increased heating value of around 30 % when compared to conventional pellets. The produced biocoal is also hydrophobic, as well as easy to transport and store. It is therefore a renewable product that can substitute fossil-based coal in different applications (thermal, metallurgy, etc.) while contributing to decrease GHG emissions. The liquid fraction produced can be used for irriga- tion purposes (parks, gardening or agriculture). DOWNLOAD www.branchesproject.eu AUTHORS Maider Gomez (Circe) mgomez@fcirce.es Daniel García (Avebiom) Pablo Rodero (Avebiom) Alicia Mira (Avebiom)


Unintended Consequences of Complex Engineered Water Systems: A Case Study in a NW Costa Rican Watershed Introduction and Objectives Field instrumentation network in the Palo Verde wetland - Transfer 1,500 millions m3 /y of water from lake Arenal à double the amount of water - Hydroelectric plant: 12% electricity of Costa Rica - 252 km roads; 255 km canals - 30,000+ ha agricultural area - 155 ha Gish farms (75% Tilapia in the US) - Since 90’s: touristic boom in coastal areas 80’s: Hydroelectric and PRAT project Induced changes in the land use A complex engineered water system with classical environmental degradation and social conflicts Alice Alonso1, Rafael Muñoz-Carpena1, Miguel A. Campo-Bescós2, Greg A. Kiker1, Ray Huffaker1 1 Agricultural and Biological Engineering Department, University of Florida 2 Projects and Rural Engineering Department, Public University of Navarre, Ed. Los Olivos, Pamplona, Spain Contact: alice.alonso@uﬂ.edu Wetland in 1980 Method Data analysis techniques - Dynamic factor analysis - Wavelet analysis - Single spectral analysis - Phase space reconstruction - Convergent cross mapping - Time travel functions à Uncover emerging patterns à Identify causalities à Describe dynamic and mechanisms à Time series reconstruction Data Collection and Preliminary Analysis: Upper and Mid Basin Data Collection: Palo Verde Wetlands Surface water data Discussion and Conclusions • A rich database has been constructed by combining existing long-‐term weather and hydrological time series and those from an new instrumentation network in PV; • SigniGicant trends have been detected in most of the discharge time series, assuming the existence of external drivers. Classical stochastical hydrological simulations can hence not be performed. • The detected downwards trend in most of the gauged points when the water amount is doubled with the hydroelectricity plant highlights the complexity of the system; • Advanced time series analysis tools (e.g. dynamic factor analysis, wavelet analysis, spectral decomposition, phase space reconstruction, convergent cross mapping) will be applied on the data to uncover emerging patterns, drivers and causal relationship behind the response and degradation of the system; • This will allow the reconstruction of time series, and inform the building of a coupled human-‐ecohydrological mechanistic model to simulate and predict the impact of human activities on the hydrological signature of the watershed and eventually on the wetlands. Acknowledgement: We would like to give a special thank you to the NSF and the Organization for Tropical Studies, for the data provided and the great collaboration during the implementation of the instrumentation network and the current data recollection. 1 3 4 6 2 5 1 3 6 Source: Daniel (2004)! Conceptual model of the services and functions provided by the basin. Source: Muñoz-Carpena et al. (2013).! Pipe Hydroelectric Plant Nicoya Gulf 1975 1987 2000 Hydrological modeling Links and nodes system based on Hromadka (1983) and Muñoz-‐Carpena et al. (2004) ( for further incorporation in the Question and Decisions modeling system (QnD) (Kiker et al., 2006)) . Palo Verde wetland in 1980 and 2010 during the wet season, showing the dense cattail invasion (Carolina Murcia).! References Daniels, A.E., 2004. Protected Area Management in the Watershed Context: A case Study of Palo Verde National Park, Costa Rica.! Muñoz-Carpena, R., 2013. WSC-Category 2- Collaborative Research. Deriving resilience within a complex water-subsidized basin: drivers, cascading decisions, and management tradeoffs.! Hromadka, T.V., 1983. Computer methods in urban hydrology: Rational methods and unit hydrograph methods, Lighthouse publication.! Muñoz-Carpena, R. and J. E. Parsons. 2004. A design procedure for vegetative ﬁlter strips using VFSMOD-W. Transactions of the ASAE 47:1933-1941. ! Situated in NW Costa Rica, the Palo Verde wetlands are facing severe degradation, probably as a consequence o


The application of Semantic Publishing technologies in the Science of Science research domain for the Humanities ﬁeld Presenter: Ivan Heibi Ph.D. Student Digital Humanities Advanced Research Centre (DHARC), Department of Classical Philology and Italian Studies, University of Bologna, Bologna (Italy) Email: ivan.heibi2@unibo.it Large-scale data analysis Network analysis Social science Semantic Publishing 1 3 Resources Limitations 2 Methodologies 4 Desirable Outcomes Focus on journal article-oriented study ﬁelds. Books seems to be the most cited doc-type by humanities ﬁelds, yet less available. Literature and History are two highly reasonable study ﬁelds to take in consideration • The lower proportion of journal articles cited by humanities compared to the scientiﬁc oriented domains case. • The ageing rate. • The local relevance. • The presence of a division between publications directed toward researchers and writings directed to a public audience The application of Semantic Web technologies in the scholarly publishing domain [2][3]. This approach has already been adapted and still used in many projects (e.g. OpenCitations), gaining positive impacts mostly in its application to scientiﬁc ﬁelds [4]. The Semantic Publishing methods helps us getting data out onto the Web in linked semantically form, which is a high proﬁt, specially if open standards and open source tools are used. This will increase the collaborative nature of the community developments and rapid progress. Semantic Web technologies are a striking approach for building knowledge graphs to analyse and structure the discovered patterns. 1. What are the common formalisms and constructional patterns adopted for citations inside Humanities documents (e.g. a classiﬁcation according to the document sections) ? 2. What are the reasons, i.e. the citation function [5], to cite other works and what are the most important ones ? Science of Science Quantify and predict scientiﬁc research and its resulting outcomes [1] Background and Purpose Project Workﬂow The Research • Facing up my research questions using SoS research empowered with Semantic Web technologies, could gain revolutionary impacts considering the low coverage it has achieved over the Humanities in the past years. Broaden the knowledge over citations and their usage will lead future researchers improve their works and effectively address their research questions. • Developing new applications that assist the community into a functional usage of the discoveries made. Hopefully the developed tools, should broaden the horizon regarding Humanities researchers knowledge, obtained from the methodologies potentials. Learning from previous approaches Deﬁning the datasets, resources and tools to use Answering the research questions Building applications to highlight the discoveries made References 1. Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., ... & Vespignani, A. (2018). Science of science. Science, 359(6379), eaao0185. DOI: https://doi.org/10.1126/science.aao0185 2. Shotton, D. (2009). Semantic publishing: the coming revolution in scientiﬁc journal publishing. DOI: https://doi.org/10.1087/2009202 3. Shotton, D., Portwin, K., Klyne, G., & Miles, A. (2009). Adventures in semantic publishing: exemplar semantic enhancements of a research article. PLoS computational biology, 5(4), e1000361. DOI: https://doi.org/10.1371/journal.pcbi.1000361 4. Peroni, S., Dutton, A., Gray, T., & Shotton, D. (2015). Setting our bibliographic references free: towards open citation data. Journal of Documentation, 71(2), 253-277. DOI: https://doi.org/10.1108/JD-12-2013-0166 5. Teufel, S., Siddharthan, A., & Tidhar, D. (2006). An annotation scheme for citation function. 6. Heibi, I., Peroni, S., & Shotton, D. (2019). COCI, the OpenCitations Index of Crossref open DOI-to-DOI citations. arXiv preprint arXiv: 1904.06052. https://arxiv.org/abs/1904.06052 7. Heibi, I., Peroni, S., & Shotton, D. Enabling text sea