The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies.

Abstract: In earlier work, we have developed and evaluated an alternative approach to the analysis of GWAS data, based on a statistic called the PPLD. More recently, motivated by a GWAS for genetic modifiers of the X-linked Mendelian disorder Duchenne Muscular Dystrophy (DMD), we adapted the PPLD for application to time-to-event (TE) phenotypes. Because DMD itself is relatively rare, this is a setting in which the very large sample sizes generally assembled for GWAS are simply not attainable. For this reason, statistical methods specially adapted for use in small data sets are required. Here we explore the behavior of the TE-PPLD via simulations, comparing the TE-PPLD with Cox Proportional Hazards analysis in the context of small to moderate sample sizes. Our results will help to inform our approach to the DMD study going forward, and they illustrate several respects in which the TE-PPLD, and by extension the original PPLD, offer advantages over regression-based approaches to GWAS in this context.


Potassium mobilization and plant growth promotion by soil bacteria isolated from different agroclimatic zones of Odisha, India

Abstract: Potassium is essential for plant metabolism; improves immunity to stress and increase crop productivity. Soil contains insoluble form of potassium, which is unavailable for plant absorption. Potash mobilizing bacteria (KMB) solubilise complex potassium and make it available to plant. KMB with plant growth promoting (PGP) traits could enhance growth and crop productivity. Here we attempt to screen KMBs with PGP traits from different agroclimatic zones of Odisha and study dynamics of potassium in soil. Isolation of KMB and determination of PGP traits was performed with standard protocols. Pot culture experiment was aimed to study their effect on sunflower crop. Available soil potassium was quantified using inductively coupled plasma-optical emission spectrometry (ICP-OES). Thirty KMBs were isolated from different agro-climatic zones of Odisha, out of which 6 isolates exhibited maximum PGP traits. Moreover, after adding inoculums the available soil potassium decreased over 0 to 30 days as compared to control, with increase in shoot length. T7 (consortium) reported maximum (144 %) increase in shoot length. Available soil potassium content decreased with increase in time. A maximum decrease was reported in T7 (26.31 %), suggesting potassium accumulation by plant.

Aiswarya PANDA
Ankita DASH
Bibhuti Bhusan MISHRA

University of Ljubljana Press (Založba Univerze v Ljubljani)


Alain Blanchard, Les Bucoliques de Théocrite. Construction et déconstruction d’un recueil


Efficacy and safety of biofilm dispersal by glycoside hydrolases in wounds

Abstract: Novel anti-biofilm and dispersal agents are currently being investigated in an attempt to combat biofilm-associated wound infections. Glycoside hydrolases (GHs) are enzymes that hydrolyze the glycosidic bonds between sugars, such as those found within the exopolysaccharides of the biofilm matrix. Previous studies have shown that GHs can weaken the matrix, inducing bacterial dispersal, and improving antibiotic clearance. Yet, the number of GH enzymes that have been examined for potential therapeutic effects is limited. In this study, we screened sixteen GHs for their ability to disperse mono-microbial and polymicrobial biofilms grown in different environments. Six GHs, α-amylase (source: A. oryzae), alginate lyase (source: various algae), pectinase (source: Rhizopus sp.), amyloglucosidase (source: A. niger), inulinase (source: A. niger), and xylanase (source: A. oryzae), exhibited the highest dispersal efficacy in vitro. Two GHs, α-amylase (source: Bacillus sp.) and cellulase (source: A. niger), used in conjunction with meropenem demonstrated infection clearing ability in a mouse wound model. GHs were also effective in improving antibiotic clearance in diabetic mice. To examine their safety, we screened the GHs for toxicity in cell culture. Overall, there was an inverse relationship between enzyme exposure time and cellular toxicity, with twelve out of sixteen GHs demonstrating some level of toxicity in cell culture. However, only one GH exhibited harmful effects in mice. These results further support the ability of GHs to improve antibiotic clearance of biofilm-associated infections and help lay a foundation for establishing GHs as therapeutic agents for chronic wound infections.

Whitni K. Redman
Garrett S. Welch
Avery C. Williams
Addyson J. Damron
Willem O. Northcut
Kendra P. Rumbaugh


Two Novel ATP2C1 Mutations in Portuguese Patients with Hailey-Hailey Disease

Abstract: Hailey-Hailey disease (HHD) is a rare autosomal dominant acantholytic dermatosis. It is characterized by a recurrent eruption of vesicles, erosions, and scaly erythematous plaques involving intertriginous areas and first occurring after puberty, mostly in the third or fourth decade. In 2000, mutations in the ATP2C1 gene on band 3q22.1, encoding the secretory pathway Ca2+/Mn2+-ATPase protein 1(hSPCA1), have been identified as the cause of HHD. We report the identification of two novel mutations of ATP2C1 gene in two Portuguese patients, which expands the spectrum of ATP2C1 mutations underlying HHD and provides useful information for genetic counseling.

Sofia Antunes-Duarte
Maria Mendonça-Sanches
Rita  Pimenta
Ana Margarida  Coutinho
Catarina Silveira
Luís  Soares-de-Almeida
Paulo Filipe

Revista da Sociedade Portuguesa de Dermatologia e Venereologia

Dermatology
Infectious and parasitic diseases


Molecular Chaperone GRP94/GP96 in Cancers: Oncogenesis and Therapeutic Target

Abstract: During tumor development and progression, intrinsic and extrinsic factors trigger endoplasmic reticulum (ER) stress and the unfolded protein response, resulting in the increased expression of molecular chaperones to cope with the stress and maintain tumor cell survival. Heat shock protein (HSP) GRP94, also known as GP96, is an ER paralog of HSP90 and has been shown to promote survival signaling during tumor-induced stress and modulate the immune response through its multiple clients, including TLRs, integrins, LRP6, GARP, IGF, and HER2. Clinically, elevated expression of GRP94 correlates with an aggressive phenotype and poor clinical outcome in a variety of cancers. Thus, GRP94 is a potential molecular marker and therapeutic target in malignancies. In this review, we will undergo deep molecular profiling of GRP94 in tumor development and summarize the individual roles of GRP94 in common cancers, including breast cancer, colon cancer, lung cancer, liver cancer, multiple myeloma, and others. Finally, we will briefly review the therapeutic potential of selectively targeting GRP94 for the treatment of cancers.

Xiaofeng Duan
Stephen Iwanowycz
Soo Ngoi
Megan Hill
Qiang Zhao
Bei Liu
Bei Liu
Bei Liu

Neoplasms. Tumors. Oncology. Including cancer and carcinogens


IMPACT OF COVID-19 ON EUROPEAN AND TURKEY AIR TRAFFIC NETWORKS

Abstract: Covid-19, which was defined as a result of research conducted in a group of patients developing respiratory symptoms in late December 2019 in Wuhan province of China, spread to other countries in a very short time by infecting from people to people. On January 30, 2020, the World Health Organization declared the “International Public Health Emergency” due to the Covid-19 pandemic. Travel restrictions have been imposed by countries to prevent the pandemic. With these restrictions, air traffic has come to a halt, only health, humanitarian, military, repatriation and cargo flights have been carried out. Due to the Covid-19, more than 6 million traffic losses occurred in the European air traffic network. There were 0.2 million flight losses in the 9/11 attacks and 0.8 million flight losses in the great financial crisis. It is not known how long the recovery will take to reach traffic data in 2019. In this study, the impact of Covid-19 on the European and Turkey air traffic networks in 2020 was analyzed compared to the 2019 data. Within the scope of forecasts published by aviation authorities, assessments regarding the recovery process are also included. It is predicted that the impact of the Covid-19 pandemic on the air traffic networks will not be compensated for a long time in line with current data and predictions for the pandemic.

Revista de Investigaciones Universidad del Quindío

Technology (General)
General Works
Social sciences (General)


Revisiting British Investment in Latin America: The River Plate Trust Group, 1879–1963

Abstract:
The article analyses the performance and profitability of the firms controlled by the River Plate Trust Group in Argentina and Uruguay from 1879 to 1960 to challenges the notion that British investments in the Southern Cone involved greater default or insolvency risks because of nationalism, expropriations, and over-taxation. Also known as Morris or Morrison group, River Plate Trust became the most important British business group in the region during the First Global Period, as it controlled a number of public utilities, mortgage and financial firms. Our case shows that the decline of British investment in mortgage and financial activities did not mark the end of this business cycle after WWI; rather, it signalled a change in the direction of capital flows. Capital outflows from host economies to Great Britain—via dividends—continued over the interwar period, with only a brief interruption between 1931 and 1934. The business cycle of British firms entered a new phase, characterized by stagnant British investments and increasing capital returns from Argentina and Uruguay to Great Britain.

Moreover, British public utility firms continued to invest in the River Plate until the 1940s, because profits from the region supported the distribution of high dividends to shareholders.

Journal of Evolutionary Studies in Business


Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Abstract: It is envisaged that 5G can enable many vehicular use cases that require high capacity, ultra-low latency and high reliability. To support this, 5G proposes the use of dense small cells technology as well as and highly directional mmWave systems deployment, among many other new advanced communication technologies, to boost the network capacity, reduce latency and provide high reliability. In such systems, enabling vehicular communication, where the nodes are highly mobile, requires robust mobility management techniques to minimise signalling cost and interruptions during frequent handovers. This presents a major challenge that communication system engineers need to address to realise the promise of 5G systems for V2X and similar applications. In this paper, we provide an overview of recent progresses in the development of handover and beam management techniques in 5G communication systems. We conduct a critical appraisal of current research on beam level and cell level mobility management in 5G mmWave networks considering the ultra-reliable and low-latency communication requirements within the context of V2X applications. We also provide an insight into the open challenges and the emerging trends as well as the possible evolution beyond the horizon of 5G.

Abdulkadir Kose
Haeyoung Lee
Chuan Heng Foh
Mehrdad Dianati

IEEE Open Journal of Intelligent Transportation Systems

Transportation engineering
Transportation and communications


The teaching evaluation systems and its impact on academics. A systematic review

Abstract: In recent decades, Higher Education has undergone a gradual but progressive transformation worldwide. Globalisation has promoted convergence mechanisms between states to achieve common standards in Higher Education; among them, those who seek to guarantee the quality of university teaching. The aim of this research is to analyse the most recent studies carried out on the impact that new teaching evaluation systems have on academics. For this purpose, a systematic review of the literature has been developed in which three different databases have been used (Wos, Scopus and ERIC). After searching and applying the inclusion / exclusion criteria, a total of 15 documents were selected. The articles were subjected to a thematic analysis and also of their characteristics. Among the most outstanding results, the development of fragmented academic identities that have an impact on the work and the wellbeing of the academics is detected. Also, the presence of contradictory opinions on teaching evaluation. Likewise, possible alternatives on teaching evaluation systems are mentioned. To conclude, a series of future lines of research are outlined, such as the consideration of more varied samples that allow more detailed comparisons between various variables, the development of longitudinal studies, and the promotion of alternatives to the current systems of evaluation.

Javier Mula-Falcón
Cristina Cruz-González
Katia Caballero


Solving Composite Fixed Point Problems with Block Updates

Abstract: Various strategies are available to construct iteratively a common fixed point of nonexpansive operators by activating only a block of operators at each iteration. In the more challenging class of composite fixed point problems involving operators that do not share common fixed points, current methods require the activation of all the operators at each iteration, and the question of maintaining convergence while updating only blocks of operators is open. We propose a method that achieves this goal and analyze its asymptotic behavior. Weak, strong, and linear convergence results are established by exploiting a connection with the theory of concentrating arrays. Applications to several nonlinear and nonsmooth analysis problems are presented, ranging from monotone inclusions and inconsistent feasibility problems, to variational inequalities and minimization problems arising in data science.


A Double Sky-Hook Algorithm for Improving Road-Holding Property in Semi-Active Suspension Systems for Application to In-Wheel Motor

Abstract: This paper presents a double sky-hook algorithm for controlling semi-active suspension systems in order to improve road-holding property for application in an in-wheel motor. The main disadvantage of the in-wheel motor is the increase in unsprung masses, which increases after shaking of the wheel, so it has poor road-holding that the conventional theoretical sky-hook algorithm cannot achieve. The double sky-hook algorithm uses a combination of damper coefficients, one from the chassis motion and the other from the wheel motion. Computer simulations using a quarter and full car dynamic models with the road conditions specified by ISO2631 showed the effectiveness of the algorithm. It was observed that the algorithm was the most effective in the vicinity of the wheel hop frequency. This paper also proposed the parameter set of the double sky-hook algorithm to differentiate the driving mode of vehicles under advanced development.

Engineering (General). Civil engineering (General)


Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing

Abstract: With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the widespread presence of mixed pixels in HSIs may make it difficult for pixel-level methods to detect subtle changes; meanwhile, the less utilization of spatial information may also lead to limitations in some subpixel-level methods. Therefore, a joint framework, which aims to combine the advantages of pixel-level in spatial utilization and subpixel-level in temporal and spectral exploration, is proposed to enhance the performance of HSIs CD. Two models, convolutional sparse analysis and temporal spectral unmixing, are introduced and presented to characterize different spatial structures and overcome the effects of spectral variability under this framework, respectively. In addition, a multiple CD-based on subpixel analysis is discussed as well. Experiments conducted on three bitemporal HSIs datasets indicate that the proposed framework is robust in capturing effective features and has achieved great detection accuracy.

Qingle Guo
Junping Zhang
Chongxiao Zhong
Ye Zhang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Ocean engineering
Geophysics. Cosmic physics


The Effect of Time on the Activation of Bayah Natural Zeolite for Application of Palm Oil Shell Pyrolysis

Abstract: Oil palm shell (OPS) constitutes 60% of the waste generated during the processing of palm oil. However, OPS can potentially be converted into energy and chemicals through pyrolysis. The purpose of this study is to determine and analyse the effect of acid treatment time on the characteristics of natural zeolites, which were then applied to oil palm shell pyrolysis. The effect of the acid treatment time on the products of the pyrolysis was also studied. The acid treatment time was varied: 1, 3, and 5 hours. The crystallinity of the natural zeolites was determined by       X-ray diffraction (XRD). Solid, liquid and gaseous pyrolysis products were observed. Proximate, ultimate, and heat analysis were performed on the solid product. The liquid product was characterised using gas chromatography-mass spectrometry (GC-MS). Gas Chromatography (GC) was performed to analyse the composition of the gases produced. The results obtained from this study indicate that longer reflux times reduced the crystallinity of the zeolites. The addition of the zeolite catalysts increased the liquid products of pyrolysis from 24.5 wt% over the parent to 24.6–37.1 wt% over the acid-treated natural zeolites. The reduction of oxygenated compounds in bio-oil was observed in the amount of acetic acid and acetone produced. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA   License (https://creativecommons.org/licenses/by-sa/4.0).

Endang Suhendi
Teguh Kurniawan
Adian Yoga Pradana
Vicky Zayan Giffari

Bulletin of Chemical Reaction Engineering & Catalysis

Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)


Arts in NEOM project Civilized progress in the northern region in Saudi Arabia kingdom

Abstract: Here in Saudi Arabia kingdom we are facing a scientific revolution that accompany the economic project NEOM that has been launched by the country in the northern lands of the kingdom where a certain set of goals have been assigned for it, to care for the economy and bring prosperity for each Saudi citizen. One of the most significant points that will be supported by the project is caring about visual arts which can create a civilizational revolution at Al Ula region in Saudi Arabia kingdom.The research title: Arts in NEOM project, civilized progress in the northern region in Saudi Arabia kingdom.The study assumes: the existence of a major and effective role of the economic project NEOM in the northern region to upgrade arts in Saudi Arabia kingdom. The word NEOM is an abbreviation for the 1st 3 letters of the Latin word NEO which means “new” while the letter M is an abbreviation for the Arabic word “mostakbal” which means future. The project location is at the western north of the kingdom.The goal of the study: is to confirm the presence of a progress in visual arts in conjunction with the economic project NEOM, and the presence of a clear civilized effect on the northern region of the kingdom. The study significance: is that NEOM has many projects as the kingdom vision has been determined in 2030: Saudi Arabia is; the Islamic, Arabic depth, extra investment power, linking axis for the 3 continents. A benefit is going to be achieved for both individuals and society equally. Including the presence of arts’ effects as a civilized basis and a clear influence on the northern region of the Saudi Arabia kingdom. The research problem resides in the coming question: is there a civilizational and effective role for arts under the shadow of the economic project NEOM in the northern region of Saudi Arabia kingdom and how far can we benefit artistically from that civilizational progress? The research methodology: the research follows the descriptive approach as data, details and information will be collected around the northern region of Saudi Arabia kingdom and project NEOM with a complete study about the current status of arts in Saudi Arabia kingdom.

Journal of Architecture, Art & Humanistic Science

Arab Association for Islamic Civilization and Art


Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning

Abstract: The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing. The emergence of information technologies such as Digital Twins (DT) in the field of the Internet of Things and Industry 4.0 allows a substantial development in automatic diagnostic systems. The objective of this work is to obtain the DT of a Photovoltaic Solar Farm (PVSF) with a deep-learning (DL) approach. To build such a DT, sensor-based time series are properly analyzed and processed. The resulting data are used to train a DL model (e.g., autoencoders) in order to detect anomalies of the physical system in its DT. Results show a reconstruction error around 0.1, a recall score of 0.92 and an Area Under Curve (AUC) of 0.97. Therefore, this paper demonstrates that the DT can reproduce the behavior as well as detect efficiently anomalies of the physical system.

Industrial engineering. Management engineering


The Psychosocial Impact of the Romanian Government Measures on the Population During the COVID-19 Pandemic

Abstract:
The Covid-19 pandemic generated a global crisis involving most countries in the world. State governments worldwide were forced to take appropriate measures impacting different fields. The Romanian government and other local public authorities developed special measures to curb the spread of the SARS-COV-2 virus in Romania in general and in Bucharest, the country’s capital. The purpose of our research was to identify the social and psychological impact of the governmental measures on the citizens of Bucharest. The research was conducted between 28 November and 25 December 2020, but refers to the measures taken by the government and local authorities from the onset of the Covid-19 pandemic
to date. The sample, representative for Bucharest, included 421 citizens living in Bucharest, aged between 19 and 40 years. The data were collected using an online questionnaire. Other methods used to analyse the results and verify the hypothesis included the multiple regression model and some applications in Excel. The results confirmed that governmental measures had a strong social and psychological impact on citizens, changing their social behaviour and causing psychological disorders, such as depression and anxiety. Our research results can help the Romanian authorities avoid problems among the population and adapt their measures to better meet the population’s psychosocial needs in time of the Covid-19 pandemic crisis, which is far from over.

Armenia Androniceanu
Doina-Mihaela Marton

Central European Public Administration Review

Political institutions and public administration (General)


High density lipoprotein cholesterol / C reactive protein ratio in heart failure with preserved ejection fraction

Abstract: Abstract Aims The impacts of high density lipoprotein cholesterol (HDL‐C) as an anti‐inflammatory and C reactive protein (CRP) as inflammatory properties on the pathogenesis of heart failure were reported. At present, the clinical significance of the HDL‐C/CRP ratio in heart failure with preserved ejection fraction (HFpEF) patients remains unknown. Methods and results We examined the data on 796 consecutive HFpEF (left ventricular ejection fraction ≥50%) patients hospitalized due to acute decompensated heart failure from the PURSUIT‐HFpEF registry, a prospective, multicentre observational study. We calculated the HDL/CRP ratios and evaluated the relationship between the values and clinical outcomes, including degree of cardiac function. The mean follow‐up duration was 420 ± 346 days. All‐cause death occurred in 118 patients, of which 51 were cardiac deaths. HDL/CRP ≤ 4.05 was independently and significantly associated with all‐cause death (odds ratio = 1.84, 95% CI: 1.06–3.20, P = 0.023), and HDL/CRP ≤ 3.14 was associated with cardiac death by multivariate Cox proportional hazard analysis (odds ratio = 2.86, 95% CI: 1.36–6.01, P = 0.003). HDL‐C/CRP ratio significantly correlated with the product of the left atrial volume and left ventricular mass index as well as the tricuspid annular plane systolic excursion by multiple regression analysis (standardized beta‐coefficient = −0.085, P = 0.034 and standardized beta‐coefficient = 0.081, P = 0.044, respectively). Conclusions HDL‐C/CRP ratio was a useful marker for predicting all‐cause death and cardiac death and correlated with left ventricular diastolic function and right ventricular systolic function in HFpEF patients.

Osaka CardioVascular Conference (OCVC)‐Heart Failure Investigators

Diseases of the circulatory (Cardiovascular) system


Professional self-realization of disabled persons in an urban environment

Abstract: The article is a review of the part of the research conducted in the framework of the grant of the Russian Foundation for Basic Research “Urban well-being of people with disabilities”. The immediate subject of the article is professional self-realization as a factor of urban well-being of a person with a disability. Well-being is understood as a subjectively constructed phenomenon, that is, through the prism of people with disabilities’ own perceptions of the sufficiency of conditions created in the urban environment for their professional self-realization and, as a consequence, for well-being in general. Professional self-realization has become one of the six factor groups that directly or indirectly influence the urban well-being of citizens with disabilities. Along with professional self-realization, the factors of urban well-being in the framework of the study were: trust in the government and involvement in management processes; the level of implementation of basic values; psychological comfort; accessibility of the spatial environment; and finally, the quality of social services. The five factor groups listed above are not discussed in the article, but the reader should have an idea of the context in which professional self-realization is studied. The study included two sub-samples, reflecting the specifics of a megalopolis (Moscow) and a regional center (Saratov).

Raidugin Dmitry Sergeevich
Naberushkina Elmira Kamalovna
Voevodina Ekaterina Vladimirovna
Kubyakin Yevgeny Olegovich
Plotnikov Vladimir Valeryevich


Face hallucination based on cluster consistent dictionary learning

Abstract: Abstract Face hallucination is a super‐resolution technique specially designed to reconstruct high‐resolution faces from low‐resolution faces. Most state‐of‐the‐art algorithms leverage position‐patch prior knowledge of human faces to better super‐resolve face images. However, most of them assume the training face dataset is sufficiently large, well cropped or aligned. This paper, proposes a novel example‐based face hallucination method, based on cluster consistent dictionary learning with the assumption that human faces have similar facial structures. In this method, the paired face image patches are firstly labelled as face areas including eyes, nose, mouth and other parts, as well as non‐face areas without requiring the training face images cropped and aligned. Then, the training patches are clustered according their labels and textures. The cluster consistent dictionary is learned to represent the low‐resolution patches and the high‐resolution patches. Finally, the high‐resolution patches of the input low‐resolution face image can be efficiently generated by using the adjusted anchored neighbourhood regression. As utilizing the labelled facial parts prior knowledge, the proposed method represents more details in the reconstruction. Experimental results demonstrate that the authors' algorithm outperforms many state‐of‐the‐art techniques for face hallucination under different datasets.

Minqi Li
Xiangjian He
Kin‐Man Lam
Kaibing Zhang
Junfeng Jing


Abstract:
Resumen

Introducción: La posición prono (PP) es una alternativa terapéutica ampliamente recomendada e implementada en los pacientes con COVID-19. Sin embargo, aunque es un procedimiento no invasivo, es complejo y se asocia con eventos adversos como las úlceras por presión (UPP). Nuestro objetivo es proponer un plan de cuidados de enfermería basado en el lenguaje estandarizado NANDA-I, NIC, NOC para la prevención de las UPP secundarias a la PP en la enfermedad de COVID-19. Síntesis del contenido: En los pacientes con COVID-19, además de factores de riesgo propios del paciente como la edad avanzada y la presencia de comorbilidades, la PP contribuye a la presencia de los diagnósticos de enfermería de riesgo de úlcera por presión [00249], de deterioro de la integridad cutánea [00047] y tisular [00248].  Por su parte, la intervención de enfermería prevención de úlceras por presión [3540], es clave para minimizar el desarrollo de esta complicación, mejorar la calidad de la atención y el pronóstico en este tipo de pacientes. Finalmente, para determinar la efectividad del cuidado de enfermería se proponen los resultados NOC consecuencias de la inmovilidad: fisiológicas [0204] e integridad tisular: piel y membranas mucosas [1101]. Conclusión: La PP es una terapia coadyuvante  recomendada para el manejo de los pacientes con COVID-19 críticamente enfermos, debido a que optimiza la función pulmonar, sin embargo está asociada a eventos adversos como las UPP. Este artículo presenta recomendaciones basadas en una revisión narrativa para facilitar la implementación de cuidados de enfermería preventivos que reduzcan su frecuencia en esta población.

Cómo citar este artículo: Rojas LZ, Mora Rico LA, Acosta Barón JV, Cristancho Zambrano LY, Valencia Barón YD, Hernández Vargas JA. Plan de cuidados de enfermería para la prevención de úlceras por presión secundarias a la posición prono en pacientes COVID-19. Revista Cuidarte. 2021;12(3):e2234. http://dx.doi.org/10.15649/cuidarte.2234

Lyda Zoraya  Rojas
Liliana Andrea  Mora Rico
Jennifer Vanesa  Acosta Barón
Luisa Yaneth Cristancho Zambrano
Yurley Dayanna  Valencia Barón
Juliana Alexandra  Hernández Vargas


An improbable trifecta: Occurrence of xanthogranulomatous prostatitis, prostate cancer, and prostatic abscess in a single patient

Abstract: Xanthogranulomatous prostatitis (XGP) is a rare disease that can mimic the clinical and imaging findings of prostate cancer. Differentiation of these diseases is vital in order to offer the correct treatment. Histological examination of prostate tissue is the definitive manner in which XGP is distinguished from prostate cancer. This case demonstrates the rare possibility of concurrent findings of prostate abscess, prostate cancer, and XGP, further clouding diagnostic assessment. Percutaneous aspiration and antibiotic treatment of the abscess reduced lower urinary tract symptoms and eliminated XGP on subsequent prostate biopsy. Careful work up is necessary to prevent unnecessary interventions or missed diagnoses.

Jonathan Demeter
Advait Deshmukh
Bijan Salari
Puneet Sindhwani
Omar Khan

Diseases of the genitourinary system. Urology


Modelling the trends of the healthcare funding in the EU countries

Abstract: Healthcare is one of the most important sectors of the public economy in the EU countries. An important task in the analysis and prediction of the values for healthcare funding is the development and application of quantitative models based on different mathematical methods. Three of the most popular indicators used for the macroeconomic description of the funding of healthcare are: (1) total government expenditure on health as a percentage of GDP; (2) total government expenditure on health as a percentage of total general government expenditure; and (3) total government expenditure on health per capita. The aim of this research is to study the trends for the main indicators of healthcare funding on the macroeconomic level and to develop models based on time series methods for analysis of the features of the trends and the prediction of the values for the next time period.

Nadiya Dubrovina
Russell Gerrard
Stanislav Filip
Vira Dubrovina


Correlation between personality characteristics and nursing satisfaction of patients of facial contouring surgery

Abstract: ObjectiveTo investigate the nursing satisfaction and personality characteristics of patients undergoing Facial Contouring Surgery during hospitalization and to analyze the correlation between the both.MethodsThe general information questionnaire，the Chinese Big Five Personality Inventory⁃brief version （CBF⁃PI⁃B），and the inpatient nursing satisfaction scale were used to investigate 431 patients who underwent facial contouring surgery in a tertiary grade A plastic surgery hospital in Beijing.The Pearson correlation analysis was performed.ResultsThe total scores of the patients who underwent facial contouring surgery were 33.96±4.51 in Agreeableness，30.67±5.17 in responsibility，30.58±3.08 in Openness to Experience，27.74±4.59 in Extraversion，and 22.97±4.61 in Neuroticism.The patient's overall nursing satisfaction during hospitalization was 87.2%.And the lowest satisfaction was the environmental facility dimension.The neurotic level of the patient was negatively correlated with the total score and scores of all dimensions of satisfaction.The level of Agreeableness was positively correlated with the total score of satisfaction and scores of all dimension.Extraversion was positively correlated with the total score of satisfaction and scores of other dimension expect environmental facilities.ConclusionsPersonality of patients undergoing facial contouring surgery were related to nursing satisfaction.Strengthening the management of environmental facilities and personalized nursing intervention could help improve nursing satisfaction.

LIU Yuanfei
PANG Dong
MA Hongtong
HUANG Lan


An Electronic Line-Shafting Control Strategy Based on Sliding Mode Observer for Distributed Driving Electric Vehicles

Abstract: This paper proposed control schemes to realize the collaborative control as well as enhance the control precision for the distributed driving electric vehicle (DDEV). Firstly, we suggested an electronic line-shafting (ELS) to realize the cooperative control for the Multi-Motor system which is installed in the DDEV. Secondly, we adopted a nonsingular terminal sliding mode control (NTSMC) method combined with a sliding mode observer (SMO) to quicken the response velocity and strengthen the robustness of the single motor controller. Finally, for the chattering value caused by the internal parameter variation and external disturbance, a fuzzy algorithm is proposed to obtain the controller parameters of NTSMC in real-time to eliminate the chattering value of DDEV. Through several simulations and experiments, the results demonstrate that the proposed strategies can realize ideal collaborative control for the Multi-Motor system, as well as improve the dynamic performance and anti-jamming ability for the whole control system of DDEV.

Hao Huang
Qunzhang Tu
Chengming Jiang
Ming Pan
Changlin Zhu

Electrical engineering. Electronics. Nuclear engineering


Joint effects of ethnic enclave residence and ambient volatile organic compounds exposure on risk of gestational diabetes mellitus among Asian/Pacific Islander women in the United States

Abstract: Abstract Background Asian/Pacific Islander (API) communities in the United States often reside in metropolitan areas with distinct social and environmental attributes. Residence in an ethnic enclave, a socially distinct area, is associated with lower gestational diabetes mellitus (GDM) risk, yet exposure to high levels of air pollution, including volatile organic compounds (VOCS), is associated with increased GDM risk. We examined the joint effects of ethnic enclaves and VOCs to better understand GDM risk among API women, the group with the highest prevalence of GDM. Methods We examined 9069 API births in the Consortium on Safe Labor (19 hospitals, 2002–2008). API ethnic enclaves were defined as areas ≥66th percentile for percent API residents, dissimilarity (geographic dispersal of API and White residents), and isolation (degree that API individuals interact with another API individual). High levels of 14 volatile organic compounds (VOC) were defined as ≥75th percentile. Four joint categories were created for each VOC: Low VOC/Enclave (reference group), Low VOC/No Enclave, High VOC/Enclave, High VOC/No Enclave. GDM was reported in medical records. Hierarchical logistic regression estimated odds ratios (OR) and 95% confidence intervals (95%CI) between joint exposures and GDM, adjusted for maternal factors and area-level poverty. Risk was estimated for 3-months preconception and first trimester exposures. Results Enclave residence was associated with lower GDM risk regardless of VOC exposure. Preconception benzene exposure was associated with increased risk when women resided outside enclaves [High VOC/No Enclave (OR:3.45, 95%CI:1.77,6.72)], and the effect was somewhat mitigated within enclaves, [High VOC/Enclave (OR:2.07, 95%:1.09,3.94)]. Risks were similar for 12 of 14 VOCs during preconception and 10 of 14 during the first trimester. Conclusions API residence in non-enclave areas is associated with higher GDM risk, regardless of VOC level. Ethnic enclave residence may mitigate effects of VOC exposure, perhaps due to lower stress levels. The potential benefit of ethnic enclaves warrants further study.

Andrew D. Williams
Sandie Ha
Edmond Shenassa
Lynne C. Messer
Jenna Kanner
Pauline Mendola

Industrial medicine. Industrial hygiene
Public aspects of medicine


Salvage of the injured upper extremity

Medical emergencies. Critical care. Intensive care. First aid


High mortality rate of obstetric critically ill women in Rwanda and its predictability

Abstract: Abstract Background Reasons for admission to intensive care units (ICUs) for obstetric patients vary from one setting to another. Outcomes from ICU and prediction models are not well explored in Rwanda owing to lack of appropriate scores. This study aimed to assess reasons for admission and accuracy of prediction models for mortality of obstetric patients admitted to ICUs of two public tertiary hospitals in Rwanda. Methods We prospectively collected data from all obstetric patients admitted to the ICUs of the two public tertiary hospitals in Rwanda from March 2017 to February 2018 to identify reasons for admission, demographic and clinical characteristics, outcome including death and its predictability by both the Modified Early Obstetric Warning Score (MEOWS) and quick Sequential Organ Failure Assessment (qSOFA). We analysed the accuracy of mortality prediction models by MEOWS or qSOFA by using logistic regression adjusting for factors associated with mortality. Area under the Receiver Operating characteristic (AUROC) curves is used to show the predicting capacity for each individual tool. Results Obstetric patients (n = 94) represented 12.8 % of all 747 ICU admissions which is 1.8 % of all 4.999 admitted women for pregnancy or labor. Sepsis (n = 30; 31.9 %) and obstetric haemorrhage (n = 24; 25.5 %) were the two commonest reasons for ICU admission. Overall ICU mortality for obstetric patients was 54.3 % (n = 51) with average length of stay of 6.6 ± 7.525 days. MEOWS score was an independent predictor of mortality (adjusted (a)OR 1.25; 95 % CI 1.07–1.46) and so was qSOFA score (aOR 2.81; 95 % CI 1.25–6.30) with an adjusted AUROC of 0.773 (95 % CI 0.67–0.88) and 0.764 (95 % CI 0.65–0.87), indicating fair accuracy for ICU mortality prediction in these settings of both MEOWS and qSOFA scores. Conclusions Sepsis and obstetric haemorrhage were the commonest reasons for obstetric admissions to ICU in Rwanda. MEOWS and qSOFA scores could accurately predict ICU mortality of obstetric patients in resource-limited settings, but larger studies are needed before a recommendation for their use in routine practice in similar settings.

Alcade Rudakemwa
Amyl Lucille Cassidy
Théogène Twagirumugabe


Characteristics of pulmonary microvascular structure in postnatal yaks

Abstract: Abstract Yaks are typical plateau-adapted animals, however the microvascular changes and characteristics in their lungs after birth are still unclear. Pulmonary microvasculature characteristics and changes across age groups were analysed using morphological observation and molecular biology detection in yaks aged 1, 30 and 180 days old in addition to adults. Results: Our experiments demonstrated that yaks have fully developed pulmonary alveolar at birth but that interalveolar thickness increased with age. Immunofluorescence observations showed that microvessel density within the interalveolar septum in the yak gradually increased with age. In addition, transmission electron microscopy (TEM) results showed that the blood–air barrier of 1-day old and 30-days old yaks was significantly thicker than that observed at 180-days old and in adults (P < 0.05), which was caused by the thinning of the membrane of alveolar epithelial cells. Furthermore, Vegfa and Epas1 expression levels in 30-day old yaks were the highest in comparison to the other age groups (P < 0.05), whilst levels in adult yaks were the lowest (P < 0.05). The gradual increase in lung microvessel density can effectively satisfy the oxygen requirements of ageing yaks. In addition, these results suggest that the key period of yak lung development is from 30 to 180 days.

Ruidong Wan
Ziqi Zhao
Min Zhao
Ke Hu
Jiaxin Zhai
Hongxian Yu
Qing Wei


Cofilin-1, LIMK1 and SSH1 are differentially expressed in locally advanced colorectal cancer and according to consensus molecular subtypes

Abstract: Abstract Background Colorectal cancer (CRC) is among the deadliest cancers, wherein early dissemination of tumor cells, and consequently, metastasis formation, are the main causes of mortality and poor prognosis. Cofilin-1 (CFL-1) and its modulators, LIMK1/SSH1, play key roles in mediating the invasiveness by driving actin cytoskeleton reorganization in various cancer types. However, their clinical significance and prognostic value in CRC has not been fully explored. Here, we evaluated the clinical contribution of these actin regulators according to TNM and consensus molecular subtypes (CMSs) classification. Methods CFL-1, LIMK1 and SSH1 mRNA/protein levels were assessed by real-time PCR and immunohistochemical analyses using normal adjacent and tumor tissues obtained from a clinical cohort of CRC patients. The expression levels of these proteins were associated with clinicopathological features by using the chi square test. In addition, using RNA-Seq data of CRC patients from The Cancer Genome Atlas (TCGA) database, we determine how these actin regulators are expressed and distributed according to TNM and CMSs classification. Based on gene expression profiling, Kaplan–Meier survival analysis was used to evaluated overall survival. Results Bioinformatic analysis revealed that LIMK1 expression was upregulated in all tumor stages. Patients with high levels of LIMK1 demonstrated significantly lower overall survival rates and exhibited greater lymph node metastatic potential in a clinical cohort. In contrast, CFL-1 and SSH1 have expression downregulated in all tumor stages. However, immunohistochemical analyses showed that patients with high protein levels of CFL-1 and SSH1 exhibited greater lymph node metastatic potential and greater depth of local invasion. In addition, using the CMSs classification to evaluate different biological phenotypes of CRC, we observed that LIMK1 and SSH1 genes are upregulated in immune (CMS1) and mesenchymal (CMS4) subtypes. However, patients with high levels of LIMK1 also demonstrated significantly lower overall survival rates in canonical (CMS2), and metabolic (CMS3) subtypes. Conclusions We demonstrated that CFL-1 and its modulators, LIMK1/SSH1, are differentially expressed and associated with lymph node metastasis in CRC. Finally, this expression profile may be useful to predict patients with aggressive signatures, particularly, the immune and mesenchymal subtypes of CRC.

Annie Cristhine Moraes Sousa-Squiavinato


Stress and corticotropin releasing factor (CRF) promote necrotizing enterocolitis in a formula-fed neonatal rat model.

Abstract: The etiology of necrotizing enterocolitis (NEC) is not known. Alterations in gut microbiome, mucosal barrier function, immune cell activation, and blood flow are characterized events in its development, with stress as a contributing factor. The hormone corticotropin-releasing factor (CRF) is a key mediator of stress responses and influences these aforementioned processes. CRF signaling is modulated by NEC's main risk factors of prematurity and formula feeding. Using an established neonatal rat model of NEC, we tested hypotheses that: (i) increased CRF levels-as seen during stress-promote NEC in formula-fed (FF) newborn rats, and (ii) antagonism of CRF action ameliorates NEC. Newborn pups were formula-fed to initiate gut inflammation and randomized to: no stress, no stress with subcutaneous CRF administration, stress (acute hypoxia followed by cold exposure-NEC model), or stress after pretreatment with the CRF peptide antagonist Astressin. Dam-fed unstressed and stressed littermates served as controls. NEC incidence and severity in the terminal ileum were determined using a histologic scoring system. Changes in CRF, CRF receptor (CRFRs), and toll-like receptor 4 (TLR4) expression levels were determined by immunofluorescence and immunoblotting, respectively. Stress exposure in FF neonates resulted in 40.0% NEC incidence, whereas exogenous CRF administration resulted in 51.7% NEC incidence compared to 8.7% in FF non-stressed neonates (p<0.001). Astressin prevented development of NEC in FF-stressed neonates (7.7% vs. 40.0%; p = 0.003). CRF and CRFR immunoreactivity increased in the ileum of neonates with NEC compared to dam-fed controls or FF unstressed pups. Immunoblotting confirmed increased TLR4 protein levels in FF stressed (NEC model) animals vs. controls, and Astressin treatment restored TLR4 to control levels. Peripheral CRF may serve as specific pharmacologic target for the prevention and treatment of NEC.

Robert L Bell
Ginger S Withers
Frans A Kuypers
Wolfgang Stehr
Aditi Bhargava


Azteca ants repair damage to their Cecropia host plants

Abstract: Some Azteca ants are well-known symbionts that defend their Cecropia host plants against herbivory, although there is considerable variability in behavior among colonies, conditions, and species. In exchange, ants receive food, and also shelter within the plants’ internodes. Here we demonstrate that ants repair damage to the host plant when their brood is directly threatened. Using comminuted plant fibers and an unidentified binding liquid (probably plant sap) ants generally began patching holes in the tree trunk immediately, and significantly reduced the size of the hole 2.5 hours after it was created, and they generally completed the repairs within 24 hours.

Alex Wcislo
Xavier Graham
Stan Stephens
Johannes Ehoulé Toppe
Lucas Wcislo
William T. Wcislo


Characterization of Surface Topography Variation in the Ultra-Precision Tool Servo-Based Diamond Cutting of 3D Microstructured Surfaces

Abstract: Previous models of the relative tool-work vibration are not generalized to represent the surface generation mechanism in the ultra-precision tool servo-based diamond cutting (UTSDC) of three-dimensional (3D) microstructured surfaces. This is due to the fact that the tool-work vibration in UTSDC is no longer a steady harmonic vibration with a constant amplitude but is influenced by the tool motion along the thrust direction. In this paper, dynamic modeling of the cutting system is presented for the characterization of surface topography variation in UTSDC of a microlens array considering the tool-work vibration as an underdamped vibration. The natural frequency and damping ratio of the cutting system are determined by the data-dependent systems (DDS) method. Based on the analysis of the surface profile and cutting force signals, it is found that the tool-work vibration is significantly enhanced in the cut-in process when the cutting speed increases. The simulation results show that the proposed dynamic model can well-determine root-mean-squares <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMS</mi></mrow></semantics></math></inline-formula> values of the surface primary profile and the dynamic force acting on the force sensor. The dynamic model provides insight into the formation of the surface topography variation in UTSDC of 3D microstructured surfaces, and the model might be applied in self-optimized machining systems in the future.


Exploring the Relationship Between Visual Aesthetics and Social Commerce Through Visual Information Adoption Unimodel

Abstract: The visual revolution and attention economy of the digital world have put visual aesthetic communication into the primary position of social media marketing. However, this phenomenon remains underexplored within social commerce research. This study thus develops a visual information adoption unimodel (VIAUM), to explore the relationship between visual aesthetics and social commerce intentions. Users with social commerce experience are invited to complete our online survey, and 321 valid data are collected. The results reveal that visual aesthetics has direct and indirect (via perceived usefulness) effects on the social commerce intention of users. Besides, interdependent self-construal (InterSC) strengthens the direct effect between visual aesthetics and social commerce intention. In contrast, independent self-construal weakens the mediation effects of perceived usefulness. This study is among the first attempts to empirically examine the intervening mechanism and boundary conditions between the visual aesthetics of self-presentation of micro-celebrity and the social commerce intention of consumers.

Yongzhong Yang
Yunyan Tang
Yu Zhang
Ruo Yang


Efficient functional encryption for inner product with simulation-based security

Abstract: Abstract Functional encryption (FE) is a novel paradigm for encryption scheme which allows tremendous flexibility in accessing encrypted information. In FE, a user can learn specific function of encrypted messages by restricted functional key and reveal nothing else about the messages. Inner product encryption (IPE) is a special type of functional encryption where the decryption algorithm, given a ciphertext related to a vector x and a secret key related to a vector y, computes the inner product x·y. In this paper, we construct an efficient private-key functional encryption (FE) for inner product with simulation-based security, which is much stronger than indistinguishability-based security, under the External Decisional Linear assumption in the standard model. Compared with the existing schemes, our construction is faster in encryption and decryption, and the master secret key, secret keys and ciphertexts are shorter.

Wenbo Liu
Qiong Huang
Xinjian Chen
Hongbo Li

Computer engineering. Computer hardware
Electronic computers. Computer science


Application of Electronic Learning by Utilizing Virtual Reality (VR) and Augmented Reality (AR) Methods in Natural Sciences Subjects (IPA) in Elementary School Students Grade 3

Abstract: Corona Virus Disease 2019 (Covid-19) has stopped all aspects of human life, including the world of education. The Ministry of Education of the Republic of Indonesia has stopped face-to-face teaching and learning activities in schools, replacing them with online methods. Work from Home (WFH) is an adaptation of activities as applied online methods to anticipate learning activities during the Covid-19 Pandemic. Learning based on digital transformation technology utilizes network technology entirely online. The application of e-learning technology in the teaching and learning process is a choice for various educational institutions. The use of technology can maximize students 'learning time efficiency and increase students' concentration. Learning with the Virtual Reality (VR) method directs students to discoveries, motivates, encourages, and provides more curiosity for students in learning. Besides VR, Augmented Reality (AR) is a learning method for students to interact with virtual objects and real objects. The author proposes e-learning based learning in Natural Sciences (IPA) subjects in grade 3 in Elementary Schools. The research proposal develops lessons using a virtual approach from real events and provides phenomena of natural occurrences. Science lessons in Elementary Schools increase the curiosity of students scientifically. This method will help students develop the ability to ask questions and find answers to natural phenomena. The research stages carried out in application development are analysis, design, implementation, and application testing. The test results by adding e-learning to traditional learning methods impacted students' understanding of the material with an increased level of understanding by 24%.

Risan Putra Anggara
Purnawarman Musa
Sri Lestari
Suryarini Widodo

Education (General)
Theory and practice of education


Bacteriophage: A Useful Tool for Studying Gut Bacteria Function of Housefly Larvae, Musca domestica

Abstract: ABSTRACT Beneficial symbiotic bacteria have positive effects on some insects’ (such as mosquitoes, cockroaches, and flies) biological activities. However, the effects of a lack of one specific symbiotic bacterium on the life activities of some insects and their natural gut microbiota composition remain unclear. Bacteriophages are viruses that specifically target and kill bacteria and have the potential to shape gut bacterial communities. In previous work, Pseudomonas aeruginosa that naturally colonized the intestines of housefly larvae was shown to be essential to protect housefly larvae from entomopathogenic fungal infections, leading us to test whether a deficiency in Pseudomonas aeruginosa strains in housefly larvae that was specifically caused using bacteriophages could remold the composition of the intestinal bacteria and affect the development of housefly larvae. Our research revealed that the phage, with a titer of 108 PFU/ml, can remove 90% of Pseudomonas aeruginosa in the gut. A single feeding of low-dose phage had no effect on the health of housefly larvae. However, the health of housefly larvae was affected by treatment with phage every 24 h. Additionally, treating housefly larvae with bacteriophages every 24 h led to bacterial composition changes in the gut. Collectively, the results revealed that deficiency in one symbiotic gut bacteria mediated by precise targeting using bacteriophages indirectly influences the intestinal microbial composition of housefly larvae and has negative effects on the development of the host insect. Our results indicated the important role of symbiotic gut bacteria in shaping the normal gut microbiota composition in insects. IMPORTANCE The well-balanced gut microbiota ensures appropriate development of the host insect, such as mosquitoes, cockroaches, and flies. Various intestinal symbiotic bacteria have different influences on the host gut community structure and thus exert different effects on host health. Therefore, it is of great importance to understand the contributions of one specific bacterial symbiont to the gut microbiota community structure and insect health. Bacteriophages that target certain bacteria are effective tools that can be used to analyze gut bacterial symbionts. However, experimental evidence for phage efficacy in regulating insect intestinal bacteria has been little reported. In this study, we used phages as precision tools to regulate a bacterial community and analyzed the influence on host health after certain bacteria were inhibited by bacteriophage. The ability of phages to target intestinal-specific bacteria in housefly larvae and reduce the levels of target bacteria makes them an effective tool for studying the function of gut bacteria.

Xinyu Zhang
Shumin Wang
Ting Li
Qian Zhang
Ruiling Zhang
Zhong Zhang


Impact of Inflammatory Immune Dysfunction in Psoriasis Patients at Risk for COVID-19

Abstract: Psoriasis is an immune-mediated dermatosis usually associated with comorbidities. Treatment varies from topicals to systemic drugs and data on susceptibility to viral infections in psoriatic patients are scarce. The objectives of this study were to analyze psoriatic patients on different therapies who were at risk for COVID-19 for seroprevalence of SARS-COV-2, pro-inflammatory cytokine profile, comorbidities and outcomes in order to unveil the immunological mechanisms involved in the anti-viral response in patients with psoriasis. Seventy-five patients with psoriasis were divided according to treatment: immunobiologics, methotrexate, topicals and acitretin. Twenty healthy controls were included. Plasma samples were collected for: IgG SARS-COV-2 (ELISA); IL-27, IL-29 and IL-18 (ELISA); and IL-1β, IL-17A, IL-6 and TNF (cytometric array). Seropositivity for SARS-COV-2 was detected in 24 out of 75 psoriasis patients and did not relate to COVID-19 symptoms and/or hospitalization, despite associated comorbidities. Psoriasis patients who were asymptomatic for SARS-COV-2 exhibited immune imbalance with high levels of IL-18, IL-17A and IL-6, and low levels of IL-27 compared to healthy controls. Psoriasis groups showed significant increased cytokine levels only in the group with immunobiologics. Despite immune deviations and lower IL-27, which has a potential antiviral impact, psoriatic patients did not exhibit complications related to COVID-19. An understanding of this kind of proinflammatory profile of psoriatic patients and of the lack of severe outcomes for COVID-19 is essential to establish novel therapeutic approaches and preventive measures, including with regard to the concomitance of viral infections.

Tatiana Mina Yendo
Maria Notomi Sato
Anna Cláudia Calvielli Castelo Branco
Anna Julia Pietrobon
Franciane Mouradian Emidio Teixeira
Yasmim Álefe Leuzzi Ramos
Ricardo Wesley Alberca
Cesar Giudice Valêncio
Vivian Nunes Arruda
Ricardo Romiti
Marcelo Arnone
André Luis da Silva Hirayama
Alberto Jose da Silva Duarte
Valeria Aoki
Raquel Leao Orfali


El campo en la ciudad. Representaciones y experiencias de los "fematers" en sus recorridos por Valencia (1878-1960)

Abstract: Este artículo analiza, por un lado, cómo eran percibidas las relaciones entre l'Horta y la ciudad de Valencia por las autoridades municipales y la prensa a través de sus representaciones de los fematers (agricultores encargados de la recogida de desperdicios urbanos); y por otro, cómo la última generación de este oficio ha dado sentido a sus recorridos pasados entre el campo y la ciudad. De acuerdo a las fuentes interpretadas (documentación interna consistorial, literatura, prensa y entrevistas orales) son contrastados tres contextos distintos. En primer lugar, el de sus conflictos sociales con el incipiente gobierno blasquista a principios del siglo XX; en segundo lugar, una etapa de malestar agrario generalizado entre la I Guerra Mundial y el trienio bolchevique (1916-1921) y por último, en los albores del desarrollismo franquista en Valencia, etapa en la que desempeñaron su trabajo los fematers entrevistados.


Defining the role of the polyasparagine repeat domain of the S. cerevisiae transcription factor Azf1p.

Abstract: Across eukaryotes, homopolymeric repeats of amino acids are enriched in regulatory proteins such as transcription factors and chromatin remodelers. These domains play important roles in signaling, binding, prion formation, and functional phase separation. Azf1p is a prion-forming yeast transcription factor that contains two homorepeat domains, a polyglutamine and a polyasparagine domain. In this work, we report a new phenotype for Azf1p and identify a large set of genes that are regulated by Azf1p during growth in glucose. We show that the polyasparagine (polyN) domain plays a subtle role in transcription but is dispensable for Azf1p localization and prion formation. Genes upregulated upon deletion of the polyN domain are enriched in functions related to carbon metabolism and storage. This domain may therefore be a useful target for engineering yeast strains for fermentation applications and small molecule production. We also report that both the polyasparagine and polyglutamine domains vary in length across strains of S. cerevisiae and propose a model for how this variation may impact protein function.

Taylor Stewart
Benjamin E Wolfe
Stephen M Fuchs


Communication Breakdown: Improving Communication Between Transplant Centers and Dialysis Facilities to Improve Access to Kidney Transplantation


Does Attentional Focus Influence Psychophysiological Responses to an Acute Bout of Exercise? Evidence From an Experimental Study Using a Repeated-Measures Design

Abstract: Attentional focus during aerobic exercise has been studied in the context of sports performance, injury prevention and affective experience. Previous research suggests that an additional mental task parallel to the physical activity might influence exercise experience and performance. It has been tested if attentional focus influences cardiovascular activity, positive/negative affect, and subjective exertion during a cycling exercise. Data from N = 30 female participants has been collected using a repeated measures design, with the following experimental manipulations: (A) an internal attention focus (i.e., paying attention to force production of the quadriceps muscles), (B) an external attention focus (i.e., paying attention to changes in brightness in the cycling track simulation), and as control conditions, (C) exercise without attention focus (i.e., no specific instruction was given) and (D) no exercise, no attention focus. Subjective affect and subjective exertion were assessed, and changes in cardiovascular activity were recorded via mobile impedance cardiography (ICG) at rest, during and after the exercise, including HR, HRV (RMSSD, HF), PEP, CO, SV, LVET, and RSA. Exercise was associated with adaptations in cardiovascular activity, positive/negative affect, and subjective exertion. However, this did not interact with attentional focus. The original hypothesis could not be supported: instructed attentional focus does not influence affect, exertion, or cardiovascular activity during a cycling exercise. Therefore, attentional focusing during exercise does not appear to put notable additional mental demands on the physically active participant. Nonetheless, impedance cardiography delivered reliable measurements even during the cycling exercise.


Identification and Validation of PLOD2 as an Adverse Prognostic Biomarker for Oral Squamous Cell Carcinoma

Abstract: Background: Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2 (PLOD2), a key enzyme that catalyzes the hydroxylation of lysine, plays a crucial role in the progression of several solid tumors. However, its spatial expression profile and prognostic significance in oral squamous cell carcinoma (OSCC) have not been revealed. Materials: Mass spectrometry was used to explore amino acid perturbations between OSCC tumor tissues and paired normal tissues of 28 patients. Then, PLOD2 mRNA and protein levels were assessed using several public databases and 18 pairs of OSCC patients’ tissues. Additionally, PLOD2 spatial expression profiles were investigated in 100 OSCC patients by immunohistochemistry and its diagnostic and prognostic values were also evaluated. Lastly, gene set enrichment analysis (GSEA) was used to investigate the potential functions of PLOD2 in OSCC. Results: Lysine was significantly elevated in OSCC tissues and could effectively distinguish tumor from normal tissues (AUC = 0.859, p = 0.0035). PLOD2 mRNA and protein levels were highly increased in tumor tissues of head and neck squamous cell carcinoma (HNSCC) (p < 0.001) and OSCC compared with those in nontumor tissues (p < 0.001). Histopathologically, PLOD2 was ubiquitously expressed in tumor cells (TCs) and fibroblast-like cells (FLCs) of OSCC patients but absent in tumor-infiltrating lymphocytes (TILs). Patients with highly expressed PLOD2 in TCs (PLOD2TCs) and FLCs (PLOD2FLCs) showed poor differentiation, a worse pattern of invasion (WPOI) and more lymph node metastasis (LNM), contributing to higher postoperative metastasis risk and poor survival time. However, PLOD2FLCs rather than PLOD2TCs was an independent risk factor for survival outcomes in OSCC patients. Molecularly, GSEA demonstrated highly expressed PLOD2 was mainly enriched in epithelial–mesenchymal transformation (EMT), TGF-beta signaling and hypoxia pathway, which are associated with poor clinical outcomes of OSCC patients. Conclusions: PLOD2 was a poor prognostic biomarker for OSCC patients and may affect the metastasis of OSCC through EMT pathway. These findings might shed novel sights for future research in PLOD2 targeted OSCC therapy.

Yawei Sun
Shuai Wang
Xingwei Zhang
Zhuhao Wu
Zihui Li
Zhuang Ding
Xiaofeng Huang
Sheng Chen
Yue Jing
Xiaoxin Zhang
Liang Ding
Yuxian Song
Guowen Sun
Yanhong Ni


Preclinical Characterization of Mobocertinib Highlights the Putative Therapeutic Window of This Novel EGFR Inhibitor to EGFR Exon 20 Insertion Mutations

Abstract: Introduction: EGFR exon 20 insertion mutations account for 10% of all EGFR mutations and are mostly insensitive to approved EGFR tyrosine kinase inhibitors (EGFR TKIs). Novel EGFR TKIs have been developed or repurposed for these mutants. A limited number of preclinical studies have detailed these EGFR TKIs. We sought to use commercially available mobocertinib (TAK-788) to characterize the preclinical therapeutic window of this EGFR TKI against EGFR mutations and to probe possible on-target mechanisms of resistance (EGFR-C797S). Methods: We used models of EGFR mutations to probe representative first, second, third generation, and in-development EGFR exon 20-active (poziotinib, mobocertinib) TKIs. We also introduced EGFR-C797S to these models to identify mechanisms of resistance. Results: Cells driven by the most common EGFR exon 20 insertion mutations (A767_V769dupASV, D770_N771insSVD, H773_V774insH, and others) were inhibited by in-development EGFR TKIs at doses below those affecting EGFR-wildtype; albeit more common EGFR mutations (exon 19 deletions and L858R) were inhibited more readily by mobocertinib and poziotinib. Mobocertinib was able to inhibit the phosphorylation of EGFR in multiple preclinical models. The presence of EGFR-C797S led to greater than 200-fold resistance in proliferation assays probing mobocertinib and osimertinib. A review of clinical studies of mobocertinib disclosed responses that could be lasting. Conclusions: This is one of the initial reports to characterize the novel EGFR TKI mobocertinib and highlights its broad activity against EGFR mutants plus the therapeutic window to EGFR exon 20 insertion mutations; and EGFR-C797S as a possible mechanism of resistance. Further clinical development of mobocertinib merits continuation.

Pedro E.N.S. Vasconcelos, MS
Ikei S. Kobayashi, MD, PhD
Susumu S. Kobayashi, MD, PhD
Daniel B. Costa, MD, PhD


ВИДІЛЕННЯ ЗОН РОЗПОВСЮДЖЕННЯ ЗАХВОРЮВАНОСТІ НА КОРОНАВІРУС COVID-19 НА ОСНОВІ МЕТОДІВ КЛАСТЕРНОГО АНАЛІЗУ

Abstract: Предмет: використання математичного апарату нейронних мереж для наукового обгрунтування протиепідемічних заходів з метою зниження захворюваності при прийнятті ефективних управлінських рішень. Ціль: застосувати кластерний аналіз, на основі нейронної мережі, для вирішення задачі виділення зон розповсюдження захворюваності. Задачі: проаналізувати методи аналізу даних для вирішення задачі кластеризації; розробити нейромережевий метод кластеризації територій України за характером епідемічного процесу COVID-19; на основі розробленого методу реалізувати програмний додаток аналізу даних для виділення зон розповсюдження захворюваності на прикладі коронавірусу COVID-19. Методи: моделі та методи аналізу даних, моделі та методи теорії систем (на базі інформаційного підходу), методи машинного навчання, зокрема метод Adaptive Boosting (на основі методу градієнтного спуску), методи навчання нейронних мереж. Результати: були використані розподілені по областям України дані Центру громадського здоров’я МОЗ України про захворюваність на COVID-19, кількість лабораторно обстежених осіб, кількість проведених лабораторних досліджень методами ПЦР та ІФА, кількість проведених лабораторних досліджень IgA, IgM, IgG; в моделі використані дані з березня 2020 по грудень 2020, при моделюванні не враховані дані з тимчасово окупованих територій України; для кластерного аналізу побудована нейронна мережа з 60 вхідними нейронами, 100 прихованими нейронами з активаційною функцією Фермі та 4 вихідними нейронами; для програмної реалізації моделі використана мова програмування Python. Висновки: проведено аналіз методів побудови нейронних мереж; аналіз методів навчання нейронних мереж, у тому числі методу градієнтного спуску; всі теоретичні вiдомостi, описанi в цiй роботi, були використанi для реалiзації програмного продукту обробки даних тестування на COVID-19 в Україні; було проведено розбиття областей України на зони зараження вірусом COVID-19 та представлено карту цього розбиття.

Kseniia Bazilevych
Ievgen Meniailov
Dmytro Chumachenko

Сучасний стан наукових досліджень та технологій в промисловості

Kharkiv National University of Radio Electronics


Drought and Water Scarcity Management Policy in England and Wales—Current Failings and the Potential of Civic Innovation

Abstract: Drought management in England and Wales takes place in a narrow, confined governance space. Assessed against current literature on drought management, England and Wales show little innovativeness and little actual willingness to change. We ask how drought and water scarcity management is currently done, who is involved (or not) and, foremost, what are the current problems and deficiencies with current English and Welsh drought and water scarcity management that require attention. We are also interested in the question of what can be done to improve drought and water scarcity management in England and Wales. This research therefore explores how we can create a continuous relationship between the different actors contributing different levels of knowledge and we plead to widen the drought governance space in order to face the current and future water governance challenges. First, we present an empirically based critique of current drought and water scarcity management in England and Wales, highlighting the contrast between available drought and water scarcity management options and what is currently applied in England and Wales. Second, we present and introduce Environmental Competency Groups, a methodology aiming to bring local residents’ experience-based knowledge of water management in relation to particular catchments to bear on the generation of scientific knowledge. It has been successfully trialed in relation to both droughts and flooding in England and Wales. We argue that this is a successful way to bring together people with different perspectives and knowledge in order to overcome the deficiencies of current drought and water scarcity management in England and Wales.


The role of corporate governance in earnings persistence: Audit committee as a moderation variable

Abstract: During the current Covid-19 pandemic, it is undeniable that many companies are experiencing a decline in turnover, and some companies have even been forced to go out of business. Due to the many fraud incidents, corporate governance is vital in ensuring earnings persistence by considering many audit committee structures. Based on this phenomenon, the purpose of this study is to determine how significant the role of corporate governance is in overcoming earnings persistence moderated by the number of audit committees. This study is quantitative descriptive with a population of all companies listed on the Indonesia Stock Index (IDX), and the number of samples with several criteria found as many as six companies. This research period was conducted from 2011-2019. This result implies a positive influence on corporate governance moderated by the audit committee on earnings persistence. This led to point out that the power of corporate governance has a positive effect on earnings persistence.

Agustina, Heni
Elfita, Rizki Amalia
Soelistya, Djoko
Muttaqiin, Ninnasi
Mochklas, Mochamad


Detecting the dominant contributions of runoff variance across the source region of the Yellow River using a new decomposition framework

Abstract:
Quantifying the contributions of climatic variables to runoff variance is still a great challenge to water resource management. This study adopted an extended Budyko framework to investigate the effects of terrestrial water storage changes (ΔS) on runoff variance across the source region of the Yellow River, China, during the period of 2003–2014. A new decomposition framework based on the extended Budyko framework was proposed to effectively quantify the contributions of different climatic variables including precipitation, PET and ΔS to runoff variance. The results demonstrated that the extended Budyko framework showed a better performance in presenting the water and energy balance than the original Budyko framework, especially at fine time scales. Meanwhile, the variance in runoff estimated by the new decomposition framework was close to that of runoff observations, indicating that this framework can effectively capture the variation in runoff during 2003–2014. It was also found that precipitation was the most important factor that contributed to runoff changes, while PET made a slightly smaller contribution compared to precipitation. Notably, the results also emphasized the important effects of ΔS on runoff variance at fine time scales, which was useful to better understand the interactions between atmospheric and hydrological processes for regions. HIGHLIGHTS
A new decomposition framework was proposed to effectively quantify the contributions of different climatic variables to runoff variance.;
Precipitation was the most important factor that contributed to runoff changes, while PET made a slightly smaller contribution compared to precipitation.;
The important effects of ΔS on runoff variance at fine time scales can not be neglected.;

Jingkai Xie
Yue-Ping Xu
Yuxue Guo
Yitong Wang

River, lake, and water-supply engineering (General)


Development and Hybrid Control of an Electrically Actuated Lower Limb Exoskeleton for Motion Assistance

Abstract: This paper describes a system design and hybrid control algorithm of an electrically actuated lower limb exoskeleton (LLE). The system design mainly includes three parts: mechanical structure design, actuation system design and sensor system design. According to the initial state of the joint angle, LLE can be divided into Non-anthropomorphic state (NAS) and anthropomorphic state (AS). The human motion intention (HMI) estimation can be divided into gait phase classification and reference trajectory estimation. The fuzzy logic is used to detect different phases in the gait phase classification. In the reference trajectory estimation, the kinematic model of the LLE is utilized to obtain a continuous joint trajectory, which is used as input of the control law. To make the LLE accurately follow the movement of people and remain stable, a hybrid dual-mode control strategy is proposed in this paper, i.e., the adaptive impedance control (AIC) method is used to improve the stability and resistance to shock in stance phase, and the active disturbance rejection control with the fast terminal sliding mode control (ADRC-FTSMC) method is employed to improve the response speed and the tracking precision in swing phase. Furthermore, in order to solve the torque discontinuity in the switching process, a smoothing method is proposed during the transition. Finally, the prototype experiments were set up to verify the tracking performance and power-assisted effect of the proposed exoskeleton. The experiments results show the LLE can achieve excellent tracking performance and power-assisted effect based on the proposed HMI methodology and hybrid dual-mode control strategy.

Chao-Feng Chen
Zhi-Jiang Du
Long He
Yong-Jun Shi
Jia-Qi Wang
Guo-Qiang Xu
Yu Zhang
Dong-Mei Wu
Wei Dong


Provoking Discomfort

Abstract: Triggered by differing responses of Columbia University School of Social Work students to a recent hate crime at neighboring Teachers College, this paper explores evidence that parts of the student body may, through lacking awareness of its own prejudiced tendencies, be acting out subtle racism and perpetuating the very ethnic divides that fuel racist aggression. The paper argues that fear and an underrepresentation of minority students impede the real dialogue necessary to overcome such aversive racism – but contends that the introspective and emotionally honest debate which has followed in the wake of the hate crime offers a window of opportunity for change. Steps need to be taken to build the self-reflection witnessed in ensuing forums into the school curriculum and ensure that all graduating students are similarly provoked to the necessary understanding of our individual role in sustaining or combating prejudice and segregation. Only in this manner can we hope to overcome racism as a whole and become the social work practitioners we aspire to be – capable of resolving the conflicts and tensions within us, as well as around us.

Social pathology. Social and public welfare. Criminology


Zertifikat Inklusion – Basiskompetenzen

Abstract: Der Artikel gibt einen konzeptionellen und inhaltlichen Überblick über das dreisemestrige Studienangebot Zertifikat Inklusion – Basis-kompetenzen (ZIB), welches seit dem Sommersemester 2016 an der Universität Regensburg angeboten wird. Interessierte Lehramtsstudierende des Grund- oder Mittelschullehramts erhalten dadurch die Möglichkeit, grundlegende Kompetenzen für ihre spätere Berufspraxis in inklusiven Settings zu erwerben. Das Gesamtkonzept zeichnet sich durch eine intensive und strukturierte Theorie-Praxis-Verzahnung aus. Während des Semesters besuchen die Studierenden jede Woche ihre Praktikumsschule und erhalten Aufgaben, die die Praxiserfahrungen systematisch mit theoretischen Inhalten in Beziehung setzen. Im begleitenden Seminar an der Universität reflektieren die Studierenden ihre Erfahrungen. Die Aufgaben im Praktikum steigern sich jedes Semester in der Komplexität vom Arbeiten mit einem Kind oder Jugendlichen über das Arbeiten mit einer Kleingruppe hin zum Arbeiten mit der Klasse. Die inhaltliche Basis des Studienangebots bildet das von der Europäischen Agentur für Entwicklungen in der sonderpädagogischen Förderung (2012) entwickelte Profil für inklusive Lehrerinnen und Lehrer. Es werden entsprechend drei Kompetenzbereiche zugrunde gelegt: Einstellungen, Wissen und Handeln. In Anlehnung an die zentralen Grundwerte des Profils wurden Grundlagen zu Inklusion, individueller Förderung, Beratung und Kooperation sowie Unterstützung aller Lernenden in inklusiven Settings als inhaltliche Schwerpunktthemen gesetzt. Im Artikel wird die Konzeption des ZIB dargestellt sowie an ausgewählten Ergebnissen der Begleitforschung die Wirksamkeit des zusätzlichen Studienangebots bezogen auf die Kompetenzbereiche aus Studierenden- wie auch aus Dozierendensicht dargestellt. Des Weiteren werden Einschätzungen bezüglich der Bedeutung der konzeptionellen Teile des Zertifikats anhand von Studierendenaussagen aufgezeigt.

Meike Unverferth
Astrid Rank
Veronika Weiß


The Role of the Gut Microbiome on Skeletal Muscle Mass and Physical Function: 2019 Update

Abstract: Within the past year, several studies have reported a positive role for the gut microbiome on the maintenance of skeletal muscle mass, evidence that contrasts previous reports of a negative role for the gut microbiome on the maintenance of whole body lean mass. The purpose of this mini-review is to clarify these seemingly discordant findings, and to review recently published studies that further elucidate the gut-muscle axis.


Does investing in intellectual capital improve productivity? Panel evidence from commercial banks in India

Abstract: In this current knowledge-based economy, firms' productivity and competitive advantage are no longer based on physical and financial assets but on intangible assets. This has compelled knowledge-intensive firms to look for a more reliable source for higher productivity and competitive advantage by focusing on their intellectual capital, which cannot be easily imitated. As banks are classified as knowledge intensive, this study examines investment in intellectual capital by banks and examines how it has improved bank productivity measured in terms of asset turnover (ATO) and employee productivity (EP). Using a panel of 73 commercial banks in India for a 12-year period (2006–2017), the study found that some components of intellectual capital improves productivity, and others do not.


Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Abstract: Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made building electrical consumption data available, and this has increased the feasibility of data-driven load forecasting. Self-organizing map (SOM) has been successfully utilized to cluster a dataset into subsets containing similar data points. These subsets are then used to train the forecasting models to improve forecasting accuracy. However, some buildings may have insufficient data since newly installed monitoring devices such as AMI have no choice but to collect a limited amount of data. Using a clustering technique on small datasets could lead to overfitting when using forecasting models following an SOM network to be trained with clusters. This results in a relatively high generalization error. In this study, we propose to address this problem by employing the stacking ensemble learning method (SELM) that is well-known for its generalization ability. An experimental study was conducted using the electricity consumption data of an actual institutional building and meteorological data. Our proposed model outperformed other baseline models, which means it successfully mitigates the effect of overfitting.


ASPEK KEMUKJIZATAN AL-QUR’AN  TENTANG KESEHATAN

Abstract: This article studies the al-Qur’an’s miracle about healthy. Method used in this writing descriptive qualitative. Result of study indicate that al-Qur’an has the spesial guidance about healthy, among of them how to keep the healthy, how to improve the healthy, consume the right food, how to treat the illness and the balance between physical and spiritualneeds.

Fakultas Ushuluddin dan Studi Agama UIN Imam Bonjol Padang


Analisis Hubungan Penguasaan Kosakata dan Kemampuan Memahami Unsur Intrinsik Cerpen Siswa SMP di Kota Kendari

Abstract:
This research problem is how is the relation between vocabulary mastery and short story intrinsical components comprehension ability of VIII grade students in Kendari City. The research is aimed to describe how vocabulary mastery and comprehending short story intrinsical components ability and how the relationship between both of them by the students. This research used statistic method. Data was analyzed descriptive-quantitatively and parametric-quantitatively by using Product Moment Correlation and Linear Regression. After doing descriptive-quantitative analysis, in order to understand the relationship intervariabel, then was conducted correlation test. Result of this research shows that vocabulary mastery have average values 8,84 (48%) which included in medium category. Vocabulary mastery indicator which have most prominent contribution is words comprehending that has pejorative-amelirative meaning, extension-constriction meaning by average value 2,75 (32,7%). Meanwhile, comprehending short story intrinsical components ability has average value 10,42 (45,25), which included generally in medium category. Indicator of comprehending short story intrinsical components ability which have most prominent contribution is figure and characterization by average value 3,23 (44,25%). Vocabulary mastery has positive and significant correlation with comprehending short story intrinsical components ability of SMP students at value rxy= 0,359 >rtable = 0,250 and value of Sig (ρ)<a = 0,05, and txy = 14,246 >ttable = 1,645 dan value of Sig (ρ)<a = 0,05. Contribution value vocabulary mastery (X) toward comprehending short story intrinsical components ability (Y) is 12,9%, and the rest, is influenced by other factors that are not related with this research.

ABSTRAK

Permasalahan dalam penelitian ini adalah bagaimana hubungan penguasaan kosakata dengan kemampuan memahami unsur intrinsik  VIII SM di Kota Kendari. Dengan demikian, tujuannya adalah mendeskripsikan penguasaan kosakata dan kemampuan memahami unsur intrinsik cerpen dan memperlihatkan ada atau tidak adanya hubungan antara penguasaan kosakata dengan kemampuan memahami unsur intrinsik cerpen siswa. Penelitian menggunakan metode statistik. Data dianalisis secara kuantitatif deskriptif dan kuantitatif parametris dengan menggunakan uji Korelasi Product Moment dan Regresi Linear. Setelah analisis deskriptif kuantitatif, dilakukan tahap uji korelasi untuk mengetahui hubungan antarvariabel. Hasil penelitian ini menunjukkan bahwa penguasaan kosakata siswa SMP memiliki nilai rata-rata 8,84 (48%) yang masuk dalam kategori sedang. Indikator penguasaan kosakata yang paling menonjol memberikan kontribusi ialah memahami kata yang mengalami ameliorasi-peyorasi, perluasan-penyempitan dengan nilai rata-rata 2,75 (32,7%). Sementara, kemampuan memahami unsur intrinsik cerpen siswa SMP memiliki nilai rata-rata 10,42 (45,25), pada umumnya termasuk kategori sedang. Indikator kemampuan memahami unsur intrinsik cerpen yang paling menonjol memberikan kontribusi ialah indikator memahami tokoh dan penokohan dalam cerpen dengan nilai rata-rata 3,23 (44,25%). Penguasaan kosakata memiliki hubungan yang positif dan signifikan dengan kemampuan memahami unsur intrinsik cerpen pada siswa SMP kelas VIII di Kota Kendari, dengan nilai rhitung = 0,359 >rtabel = 0,250 dan nilai Sig (ρ)<a = 0,05, dan thitung = 14,246 >ttabel = 1,645 dan nilai Sig (ρ)<a = 0,05. Besarnya kontribusi penguasaan kosakata (X) terhadap kemampuan memahami unsur intrinsik cerpen (Y) siswa SMP adalah 12,9%, dan selebihnya dipengaruhi oleh faktor lain yang tidak terkait dengan penelitian ini.

Firman A.D.
Heksa Biopsi Puji Hastuti
NFN Sukmawati
NFN Rahmawati


Subduction, collision and plumes in the epoch of the Late Paleozoic magmatism of the Magnitogorsk zone (the Southern Urals)

Abstract: Subject. A systematization of Late-Paleozoic magmatic formations of the Magnitogorsk zone of the Southern Urals in the process of an accretion of the Magnitogorsk paleoarc to the margin of the East European continent (EEC) with formation in Famenian and Carboniferous active continent margin of South-Uralian accretionary-collisional belt was given in the work. Materials and methods. A generalization of published and manuscript materials characterizing magmatism and ore-mineralization of Magnitogorsk zone for the Devonian-Carboniferous-Permian time carried out, additional investigations of chemical composition of rocks (XRF, ISP-MS) characterizing process of accretion, subduction and plume activity, microelement distribution in them was made, the composition of rock-forming and accessory minerals (EPMA) was studied. Results. It is found that the South-Uralian accretionary-collisional belt was beginning to form in the late phase of the development of the Magnitogorsk island arc in the process its collision with EEC margin with formation in the Frasnian and Carboniferous of active continental margin. The products of Late-island-arc volcanism are represented by the porphyrite formation and in the eastern frame of the arc - by subalkaline monzonite-shoshonite-latite volcanic-intrusive association with intermediate characteristics between the subductional and interplate formations. Synchronously with them, in the backarc setting, picrite and meymechite volcanics − derivatives of a mantle plume are formed. In process of substitution of tectonic-magmatic regime from island-arc to margin-continental intraplate-type mantle series were forming. During this period, hot asthenospheric diapirs (plumes) were rising to the bottom of new-formed (accreted) margin-continental lithosphere. Along with the magmatic associations of intraplate type and rock series of intermediate geochemical type, this geodynamic situation in the Southern Urals is characterized by a presence of great volumes of mantle-crust granitoids of gabbro-tonalite-granodiorite-granite type, that were formed with a manifold manifestation of anatexis in a time interval of 365-290 Ma. Conclusion. On the whole the originality of Magnitogorsk zone geological history in the Devonian and Carboniferous, peculiarities of magmatic complexes formed here due to various geodynamic settings, are making this zone an extraordinary interesting and important object to study of processes of plume-lithosheric and mantle-crust interaction.

D. N. Salikhov
V. V. Kholodnov
V. N. Puchkov
I. R. Rakhimov

A.N. Zavaritsky Institute of Geology and Geochemistry

Engineering geology. Rock mechanics. Soil mechanics. Underground construction


Геофильтрационная модель массива горных пород в области влияния отрабатываемых и ликвидируемых рудников горноскладчатого Урала

Abstract: Рассмотрены закономерности изменения фильтрационных свойств и условий питания подземных вод в области влияния отрабатываемых и ликвидируемых рудников горноскладчатого Урала в естественных и нарушенных условиях. С использованием гидрогеомеханического подхода выполнен анализ процессов формирования фильтрационной зональности массива горных пород в пределах горнопромышленной территории. Разработаны принципы геофильтрационной схематизации условий формирования потока подземных вод в области влияния отрабатываемых и ликвидируемых рудников Среднего Урала, обеспечивающие учет изменчивости пространственной структуры и параметров пласта в естественных условиях, на этапе отработки и после ее завершения.


Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

Abstract: The determination of coulombic efficiency of the lithium-ion batteries can contribute to comprehend better their degradation behavior. In this research, the coulombic efficiency and capacity loss of three lithium-ion batteries at different current rates (C) were investigated. Two new battery cells were discharged and charged at 0.4 C and 0.8 C for twenty times to monitor the variations in the aging and coulombic efficiency of the battery cell. In addition, prior cycling was applied to the third battery cell which consist of charging and discharging with 0.2 C, 0.4 C, 0.6 C, and 0.8 C current rates and each of them twenty times. The coulombic efficiency of the new battery cells was compared with the cycled one. The experiments demonstrated that approximately all the charge that was stored in the battery cell was extracted out of the battery cell, even at the bigger charging and discharging currents. The average capacity loss rates for discharge and charge during 0.8 C were approximately 0.44% and 0.45% per cycle, correspondingly.

Seyed  Saeed Madani
Erik Schaltz
Søren Knudsen Kær

Production of electric energy or power. Powerplants. Central stations


SA-M-SBL: An Algorithm for CSI-Based Device-Free Localization With Faulty Prior Information

Abstract: As an emerging technique, device-free localization (DFL) is promising to localize the target without attaching any transceivers. Recently, the benefits of channel state information (CSI) on DFL have been revealed in this paper. Motivated by this, in this paper, we propose to exploit the channel diversity of CSI measurements for multi-target DFL under the compressive sensing (CS) framework. The CSI-based multi-target DFL problem is formulated as a joint sparse recovery problem which reconstructs the unknown sparse vectors of multiple channels. Moreover, in practice, some faulty prior information (e.g., coarse positions) is usually available. To take advantage of this information for joint sparse recovery, novel support knowledge-aided multiple sparse Bayesian learning (SA-M-SBL) algorithm is introduced, which incorporates the prior information into a three-layer hierarchical prior model. With this model, the joint sparsity of the sparse vectors can be induced, and their values can be estimated via the variational Bayesian inference (VBI). The numerical simulation results demonstrate the outstanding performance of the proposed method compared with the state-of-the-art CS-based multi-target DFL methods.


Turismo, pueblos indígenas y patrimonio cultural en México y Chile

Abstract: En este artículo se explora la incorporación de los pueblos indígena a los procesos de patrimonialización y turistificación en México y Chile. Ambos países tuvieron un desarrollo histórico diferente, incluso opuesto, con respecto a su relación con sus pueblos originarios. No obstante, en los últimos años han coincidido en llevar a cabo políticas públicas de reconocimiento de ciertos derechos a la diversidad cultural. El uso cada vez más frecuente de las tradiciones, ceremonias, danzas, música y otras expresiones culturales indígenas por parte de la industria del turismo, contrasta con la falta de reconocimiento a sus derechos colectivos sobre sus territorios. La turistificación de las regiones indígenas es un ejemplo conspicuo que muestra la manera en que el multiculturalismo neoliberal en América Latina incorpora a los pueblos indígenas bajo ciertas premisas y condiciones, a la vez que los excluye bajo otras premisas y condiciones.

Cristina Oehmichen Bazan
Francisca de la Maza Cabrera

PASOS Revista de Turismo y Patrimonio Cultural

Instituto de Investigación Social y Turismo


Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems

Abstract: The intrusion detection systems (IDSs) are essential elements when it comes to the protection of an ICT infrastructure. A misuse IDS is a stable method that can achieve high attack detection rates (ADR) while keeping false alarm rates under acceptable levels. However, the misuse IDSs suffer from the lack of agility, as they are unqualified to adapt to new and “unknown” environments. That is, such an IDS puts the security administrator into an intensive engineering task for keeping the IDS up-to-date every time it faces efficiency drops. Considering the extended size of modern networks and the complexity of big network traffic data, the problem exceeds the substantial limits of human managing capabilities. In this regard, we propose a novel methodology which combines the benefits of self-taught learning and MAPE-K frameworks to deliver a scalable, self-adaptive, and autonomous misuse IDS. Our methodology enables the misuse IDS to sustain high ADR, even if it is imposed on consecutive and drastic environmental changes. Through the utilization of deep-learning based methods, the IDS is able to grasp an attack's nature based on the generalized feature reconstructions stemming directly from the unknown environment and its unlabeled data. The experimental results reveal that our methodology can breathe new life into the IDS without the constant need for manually refreshing its training set. We evaluate our proposal under several classification metrics and demonstrate that the ADR of the IDS increases up to 73.37% in critical situations where a statically trained IDS is rendered totally ineffective.

Dimitrios Papamartzivanos
Felix Gomez Marmol
Georgios Kambourakis