```mermaid
flowchart TD
    A["Records identified from*:<br>Databases (n = 3143)<br>Registers (n = 0)"]
    B["Records removed before screening:<br>Duplicate records removed (n = 1200)<br>Records marked as ineligible by automation tools (n = 0)<br>Records removed for other reasons (n = 0)"]
    C["Records identified from:<br>Citation searching (n = 1)"]
    D["Records screened<br>(n = 1943)"]
    E["Records excluded**<br>(n = 1831)"]
    F["Reports sought for retrieval<br>(n = 112)"]
    G["Reports not retrieved<br>(n = 6)"]
    H["Reports sought for retrieval<br>(n = 1)"]
    I["Reports not retrieved<br>(n = 0)"]
    J["Reports assessed for eligibility<br>(n = 106)"]
    K["Reports excluded:<br>Overlapping data (n = 3)<br>Review (n = 6)<br>Incorrect population (n = 31)<br>No extractable data (n = 7)<br>No outcomes (n = 24)"]
    L["Reports assessed for eligibility<br>(n = 1)"]
    M["Reports excluded:<br>No outcomes (n = 1)"]
    N["Studies included in review<br>(n = 35)<br>Reports of included studies<br>(n = 35)"]

    A --> B
    A --> D
    C --> H
    D --> E
    D --> F
    F --> G
    F --> J
    H --> I
    H --> L
    J --> K
    J --> N
    L --> M
    L --> N
```


```mermaid
flowchart TD
    A["NEGATIVE FAMILY HISTORY OF ILD or chILD SYNDROME<br>Rule Out/Treat Underlying Disease:<br>Infection/Sepsis/Pneumonia: Appropriate Cultures<br>CHD/Pulmonary Hypertension: Echocardiogram<br>HIV/Immunodeficiency; CF; Recurrent Aspiration"]
    B["Specific Diagnosis Established"]
    C["Persistent Disease or Disease Out of Proportion to Presumed Diagnosis"]
    D["chILD Syndrome<br>NEGATIVE FAMILY HISTORY"]
    E["Rapid Deterioration or Progression"]
    F["CVHRCT"]
    G["Genetic Testing<br>See Figure 4"]
    H["Normal or Other Specific Diagnosis"]
    I["Non-Diagnostic Diffuse Lung Disease"]
    J["Suggestive of Surfactant Mutation"]
    K["NEGATIVE"]
    L["DIAGNOSTIC:<br>Specific Diagnosis Established"]
    M["LUNG BIOPSY WITH ELECTRON MICROSCOPY"]

    A --> B
    A -->|Specific diagnosis ruled out| D
    B --> C
    C --> D
    D --> E
    D --> F
    D -.-> G
    E --> M
    E --> G
    F --> H
    F --> I
    F --> J
    I --> M
    J --> G
    G --> K
    G --> L
    K --> M
```


```mermaid
flowchart TD
    subgraph id1 ["Logistical channel"]
        A["Transportation"]
        B["Supplier"]
        C["Manufacturer"]
        D["Transportation"]
        E["Distribution center"]
        F["Transportation"]
        G["Retail store"]
    end
    H["Consumer"]
    subgraph id2 ["Marketing channel"]
        I["E-Procurement"]
        J["National account sales"]
        K["Wholesaler/Distributor"]
        L["Retail customer"]
    end

    B --> A
    A --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    I --> J
    J --> K
    K --> L
    L --> H
```


```mermaid
flowchart TD
    subgraph ide1 ["主线程"]
        A("KafkaProducer")
        B("ProducerInterceptors")
        C("Serializer")
        D("Partitioner")
    end
    subgraph ide2 ["RecordAccumulator"]
        subgraph ide3 ["Deque"]
            E("RecordBatch")
            F("RecordBatch")
            G("RecordBatch")
        end
        subgraph ide4 ["Deque"]
            H("RecordBatch")
            I("RecordBatch")
        end
        subgraph ide5 ["Deque"]
            J("RecordBatch")
            K("RecordBatch")
        end
    end
     subgraph ide6 ["Sender 线程"]
        M("Sender")
        N("ClientRequest")
        O("ClientRequest")
        P("ClientRequest")
        subgraph ide7 ["NetworkClient"]
            subgraph ide8 ["InFlightRequests"]
                subgraph ide9 [" "]
                    Q("ClientRequest")
                    R("ClientRequest")
                end
                subgraph ide10 [" "]
                    S("ClientRequest")
                end
                subgraph ide11 [" "]
                    T("ClientRequest")
                end
            end
        end
        subgraph ide12 ["Selector"]
            U("KafkaChannel")
            V("KafkaChannel")
            W("KafkaChannel")
        end
    end
    L@{ shape: processes, label: "Kafka" }

    A -->|①| B
    B -->|②| C
    C -->|③| D
    ide1 -->|④| ide2
    ide2 -->|⑤| ide6
    M -->|⑥| N
    M -->|⑥| O
    M -->|⑥| P
    N -->|⑦| ide7
    O -->|⑦| ide7
    P -->|⑦| ide7
    ide7 -->|⑧<br>RequestSend| ide12
    ide7 -->|⑧<br>RequestSend| ide12
    ide7 -->|⑧<br>RequestSend| ide12
    ide12 <-->|⑨<br>网络| L
    ide7 -->|⑩<br>done| ide2

    style ide1 fill:none,stroke:#333,stroke-dasharray:5 5
    style ide3 fill:none,stroke:#333,stroke-dasharray:5 5
    style ide4 fill:none,stroke:#333,stroke-dasharray:5 5
    style ide5 fill:none,stroke:#333,stroke-dasharray:5 5
    style ide6 fill:none,stroke:#333,stroke-dasharray:5 5
    style ide8 fill:none,stroke:#333,stroke-dasharray:5 5
```


```mermaid
flowchart TD
    A( )
    B["54 with presentation delay <3.5 hours"]
    C["83 with delay >3.5h excluded"]
    D["35 disabling strokes"]
    E["19 non-disabling strokes excluded"]
    F["33 without large infarct"]
    G["2 with large infarct excluded"]
    H["17 with retrievable thrombus"]
    I["16 excluded as no retrievable thrombus"]
    J["17 with 'target mismatch' penumbra"]
    K["0 without 'target mismatch' penumbra"]
    L["17 eligible by restrictive algorithm"]

    A --> B
    A --> C
    B --> D
    B --> E
    D --> F
    D --> G
    F --> H
    F --> I
    H --> J
    H --> K
    J --> L
```

```mermaid
flowchart TD
    A( )
    B["86 with presentation delay <5 hours"]
    C["124 with delay >5h excluded"]
    D["60 disabling strokes"]
    E["26 non-disabling strokes excluded"]
    F["56 without large infarct"]
    G["4 with large infarct excluded"]
    H["33 with retrievable thrombus"]
    I["23 excluded as no retrievable thrombus"]
    J["33 eligible by permissive algorithm"]

    A --> B
    A --> C
    B --> D
    B --> E
    D --> F
    D --> G
    F --> H
    F --> I
    H --> J
```


```mermaid
flowchart TD
    A["Consent in ER or within 1 month of prior biomarker plus ACS"]
    B["ACS Patients with +/- biomarker positive, requiring DES implantation"]
    C["IVUS-guided PCI"]
    D["Angiography-guided PCI"]
    E["DAPT (ticagrelor + ASA) for 1 month"]
    F["DAPT (ticagrelor + ASA) for 1 month"]
    G@{shape: text, label: "Exclusion:<br>• Patients with MACCE<br>• ≥BARC Type 3b bleeding<br>• No longer taking DAPT with aspirin and ticagrelor >48 h"}
    H["SAPT<br>(ticagrelor + placebo)"]
    I["DAPT<br>(ticagrelor + ASA)"]
    J["SAPT<br>(ticagrelor + placebo)"]
    K["DAPT<br>(ticagrelor + ASA)"]
    L["Clinical follow-up: 4, 6, and 12 months"]

    A -->|Confirmed on angiography| B
    B -->|"$$ 1^{st}\ $$ Randomization"| C
    B --> D
    C --> E
    D --> F
    E -.-> G
    F -.-> G
    E --> H
    E -->|"$$ 2^{nd}\ $$ Randomization"| I
    F --> J
    F --> K
    H --> L
    I --> L
    J --> L
    K --> L
```


```mermaid
flowchart TD
    A("Enrollment")
    B["Randomized (n=259)"]
    C("Allocation")
    D["132 Allocated to Ablation<br>129 had Ablation<br>3 did not have Ablation<br>2 died before procedure<br>1 withdrew<br>4 Crossed over to escalated AAD prior to reaching a 1° endpoint"]
    E["127 Allocated to Escalated AAD<br>0 Not treated with escalated AAD<br>11 Crossed over to Ablation prior to reaching a 1° endpoint"]
    F("Follow-up")
    G["Lost to Follow-up (n=0)<br>Withdrawal without reaching an endpoint (n=5)"]
    H["Lost to Follow-up (n=0)<br>Withdrawal without reaching an endpoint (n=4)"]
    I("Analysis")
    J["Analysed (n=132)<br>Excluded from analysis (n=0)"]
    K["Analysed (n=127)<br>Excluded from analysis (n=0)"]
    L@{shape: text, label: "7 patients had repeat ablation within 30 days. After experiencing a primary outcome, 27 were treated with escalated AAD and 13 had repeat ablation"}
    M@{shape: text, label: "37 patients treated with catheter ablation after experiencing a primary outcome, 23 had further escalation of AAD therapy"}

    A ~~~ B
    B --- C
    B --> D
    C ~~~ D
    C ~~~ E
    C ~~~ F
    D --> G
    F ~~~ G
    F ~~~ H
    G --> J
    I ~~~ J
    I ~~~ K
    B --> E
    E --> H
    H --> K
    M ~~~ K
    G ~~~ L
```


### 图3-2 Struts 2 框架结构与工作流程图

```mermaid
flowchart TD
    A["用户"]
    B["HttpServletRequest"]
    C["StrutsPrepareAndExecuteFilter"]
    D["ActionMapper"]
    E["ActionProxy"]
    F["Configuration Manager"]
    G["struts.xml"]
    H["TagSubsystem"]
    I["Template JSP、FreeMarker"]
    J["HttpServletResponse"]
    subgraph ide1 ["Action Invocation"]
        K["Interceptor1"]
        L["Interceptor2"]
        M["Interceptor3"]
        N["Action"]
        O["Result"]
        P["Interceptor3"]
        Q["Interceptor2"]
        R["Interceptor1"]
    end

    A --> B
    B --> C
    C --> E
    C --> D
    D --> C
    G --> F
    F --> E
    E --> ide1
    K --- L
    L --- M
    M --- N
    N --> O
    O --> I
    P --- Q
    Q --> R
    R --> J
    H --> I
    J --> A
```


### Market Function, Classification and Assets

```mermaid
flowchart TD
    A["Market Function, Classification and Assets"]
    B["The functions of the financial system"]
    C["Classification of assets"]
    D["Classification of market"]
    E["Achieving purposes"]
    F["Determining rates"]
    G["Allocation efficiency"]
    H["Financial assets"]
    I["Physical assets"]
    J["Deliver date"]
    K["Maturity"]
    L["Position and underlying"]
    M["$$ ^{I} $$Capital flow"]

    A --- B
    A --- C
    A --- D
    B --> E
    B --> F
    B --> G
    C --> H
    C --> I
    D --> J
    D --> K
    D --> L
    D --> M
```


```mermaid
flowchart TD
    A["LinkedHashSet"]
    B["HashSet"]:::bold
    C["TreeSet"]
    subgraph id1 [" "]
    D["Comparator"]
    E["Comparable"]
    end
    subgraph id2 ["Utilites"]
    F["Collections"]
    G["Arrays"]
    end
    H["ArrayList"]:::bold
    I["LinkedList"]:::bold
    J["PriorityQueue"]
    K["LinkedHashMap"]
    L["ListIterator"]
    M["List"]
    N["Set"]
    O["Queue"]
    P["HashMap"]:::bold
    Q["TreeMap"]
    R["Map"]
    S["Collection"]
    T["Iterator"]

    A -.-> B
    E <-.-> D
    id1 ~~~ A
    A ~~~ id2
    id2 ~~~ K
    B -.-> N
    C -.-> N
    H -.-> M
    I -.-> M
    I -.-> N
    I -.-> O
    J -.-> O
    K --> P
    M -.-> L
    M -.-> S
    N -.-> S
    O -.-> S
    P -.-> R
    Q -.-> R
    R -.->|Produces| S
    S -.->|Produces| T
    L -.->|Produces| T

    classDef bold stroke-width:3,stroke:#000
    style D fill:color:#000,stroke-dasharray: 5
    style E fill:color:#000,stroke-dasharray: 5
    style L fill:color:#000,stroke-dasharray: 5
    style M fill:color:#000,stroke-dasharray: 5
    style N fill:color:#000,stroke-dasharray: 5
    style O fill:color:#000,stroke-dasharray: 5
    style R fill:color:#000,stroke-dasharray: 5
    style S fill:color:#000,stroke-dasharray: 5
    style T fill:color:#000,stroke-dasharray: 5
```


```mermaid
flowchart TD
    A["Magistrates' courts<br>Trials of summary offences, committals to the Crown court, family proceedings courts and youth courts"]
    B["Crown court<br>Trials of indictable offences, appeals from magistrates' courts, cases for sentence"]
    C["Tribunals<br>Hear appeals from decisions on immigration, social security, child support, pensions, tax and lands"]
    D["County Court<br>Majority of litigation, subject to nature of the claim"]
    E["High Court<br>Family Division<br>Divisional Court<br>Appeals from the magistrates'court<br>Queen's Bench Division<br>Contract and tort etc.<br>Commercial Court<br>Admiralty Court<br>Administrative Court Supervisory and appellate jurisdiction overseeing the legality of decisions and actions of inferior courts, tribunals, local authorities, Minister of the Crown and other public bodies and officials<br>Chancery Division<br>Equity and trusts, contentious probate, tax partnerships, bankruptcy and Companies Court, Patents Court<br>Divisional Court<br>Appeals from the county courts on bankruptcy and land"]
    F["Court of Appeal<br>Criminal Division<br>Appeals from the Crown Court<br>Civil Division<br>Appeals from the High Court, tribunals and certain cases from county courts"]
    G["Supreme Court of the United Kingdom<br>The final court of appeal for all United Kingdom civil cases, and criminal cases from England, Wales and Northern Ireland<br>(not administered by HMCTS)"]

    A --> B
    A --> E
    B --> E
    B --> F
    C --> E
    C --> F
    D --> E
    D --> E
    D --> F
    E --> F
    E --> G
    F --> G
```


```mermaid
flowchart TD
    A["Forecasting"]
    B["Demand Management"]
    C["Distribution Requirements Planning (DRP)"]
    D["Strategic Planning"]
    E["Business Planning"]
    F["Sales and Operations Planning (S&OP): Consensus Demand Plan and Production Plan"]
    G["Master Scheduling (MS): Master Production Schedule (MPS)"]
    H["Material Requirements Planning (MRP)"]
    I["Resource Planning (RP)"]
    J["Rough-Cut Capacity Planning (RCCP)"]
    K["Capacity Requirements Planning (CRP)"]
    L["Purchasing"]
    M["Production Activity Control (PAC)"]
    N["Final Assembly Scheduling (FAS)"]
    O["Capacity Control"]

    A --> B
    B -->|Total| D
    B -->|Total| E
    B -->|Aggregate| F
    B -->|Detail| G
    C --> B
    C --> G
    D --> E
    E --> F
    F --> G
    F <--> I
    G --> H
    G <--> J
    H <--> K
    H --> L
    H --> M
    H --> N
    H --> O
```


### FLOWCHART

```mermaid
flowchart TD
    A["1504 patients were assessed for eligibility"]
    B["1048 were excluded<br>114 did not meet clinical inclusion criteria<br>66 were >80 yr of age<br>4 had chronic occlusion<br>4 had pre-stroke modified Rankin scale score >1<br>20 had an NIHSS score other than 6 to 30<br>20 had >24-hr time window from stroke onset<br>640 did not meet imaging inclusion criteria<br>339 had ineligible ASPECTS value based on NCCT<br>121 had ineligible infarct core volume<br>180 had ineligible occlusion site<br>175 declined to participate<br>119 met exclusion criteria or had other reason"]
    C["456 underwent randomization"]
    D["231 were assigned to the EVT group"]
    E["225 were assigned to the MM group"]
    F["1 withdrew consent"]
    G["230 patients in the full-analysis population"]
    H["225 patients in the full-analysis population"]
    I["14 mismatch profile missing"]
    J["216 patients imaged >6 h from onset"]
    K["15 mismatch profile missing"]
    L["210 patients imaged >6 h from onset"]
    M["173 patients with mismatch"]
    N["43 patients without mismatch"]
    O["173 patients with mismatch"]
    P["37 patients without mismatch"]
    Q["92 in EVT group"]
    R["81 in MM group"]
    S["21 in EVT group"]
    T["22 in MM group"]
    U["92 in EVT group"]
    V["81 in MM group"]
    W["18 in EVT group"]
    X["19 in MM group"]

    A --> C
    A --> B
    C --> D
    C --> E
    D --> G
    D --> F
    E --> H
    G --> J
    G --> I
    H --> L
    H --> K
    J --> M
    J --> N
    L --> O
    L --> P
    M --> Q
    M --> R
    N --> S
    N --> T
    O --> U
    O --> V
    P --> W
    P --> X
```


### 图9-5 扩展设计以支持新的协议

```mermaid
flowchart TD
    A["CommsManager<br>+getHeaderText(): String<br>+getApptEncoder(): ApptEncoder<br>+getFooterText(): String"]
    B["MegaCommsManager<br>+getHeaderText(): String<br>+getApptEncoder(): ApptEncoder<br>+getFooterText(): String"]
    C["BloggsCommsManager<br>+getHeaderText(): String<br>+getApptEncoder(): ApptEncoder<br>+getFooterText(): String"]
    D["ApptEncoder<br>+encode(): String"]
    E["MegaApptEncoder<br>+encode(): String"]
    F["BloggsApptEncoder<br>+encode(): String"]
    G["return new MegaApptEncoder();"]
    H["return new BloggsApptEncoder();"]

    B --> A
    C --> A
    E --> D
    F --> D
    B --- G
    C --- H
    B -.->|<<creates>>| E
    C -.->|<<creates>>| F
```


```mermaid
flowchart TD
    A["63 patients screened for study"]
    B["11 patients excluded<br>4 did not meet inclusion criteria<br>7 declined to participate"]
    C["52 randomly assigned"]
    D["27 assigned to rituximab"]
    E["3 excluded before receiving rituximab<br>2 had influenza infection<br>1 had another relapse"]
    F["24 received rituximab"]
    G["4 discontinued<br>2 had treatment failure*<br>2 other reasons"]
    H["20 completed week 53"]
    I["25 assigned to placebo"]
    J["1 excluded before receiving placebo<br>because of uncontrolled hypertension"]
    K["24 received placebo"]
    L["20 discontinued interventions<br>18 had treatment failure†<br>2 other reasons"]
    M["4 completed week 53"]

    A --> B
    A --> C
    C --> D
    C --> I
    D --> F
    D --> E
    F --> H
    F --> G
    I --> K
    I --> J
    K --> M
    K --> L
```


### The Transformer Encoder-Decoder [Vaswani et al., 2017]

```mermaid
flowchart TD
    subgraph id1 ["[input sequence]"]
        A["Word Embeddings"]
        B["Position Representations"]
        C@{shape: text, label: "+"}
        D["Transformer Encoder"]
        E@{shape: text, label: "●<br>●<br>●"}
        F["Transformer Encoder"]
    end
    subgraph id2 ["[output sequence]"]
        G["Word Embeddings"]
        H["Position Representations"]
        I@{shape: text, label: "+"}
        J["Transformer Decoder"]
        K@{shape: text, label: "●<br>●<br>●"}
        L["Transformer Decoder"]
    end
    M@{shape: text, label: "[predictions!]"}

    A ~~~ C
    B ~~~ C
    C ==> D
    D ==> E
    E ==> F
    G ~~~ I
    H ~~~ I
    I ==> J
    J ==> K
    K ==> L
    L ==> M
    F -->|"[decoder attends to encoder states]"| J
    F --> L
```


```mermaid
flowchart TD
    A["登录"]
    B{"是否有TGT"}
    C["发送请求到被注册到 CAS 服务的 APP"]
    D["返回ST, 执行相应的service"]
    E["在登录页面输入用户名，密码"]
    F["发送请求到app(已注册到 CAS"]
    G["获取TGT"]
    H["发送请求TGT到app(已注册"]
    I["返回ST，并于执行service"]

    A --> B
    B -->|是| C
    B -->|否| E
    C --> D
    E --> F
    F --> G
    G --> H
    H --> I
```


```mermaid
flowchart TD
    A["开始"]
    B["检测CAN总线发送指令"]
    C{"令STM32输出高低电平"}
    D["灯亮"]
    E["光线强度检测电路"]
    F{"光线强度"}
    G["STM32发送高电平"]
    H["灯灭"]
    I["热释电红外信号检测电路"]
    J{"有无人"}
    K["STM32发送低电平"]
    L["灯亮"]
    M["STM32发送高电平"]
    N["灯灭"]

    A --> B
    B --> C
    C -->|高| E
    C -->|低| D
    C --> E
    D --> B
    E --> F
    F --> I
    F -->|强| G
    G --> H
    H --> B
    I --> J
    J -->|有| K
    J -->|无| M
    K --> L
    L --> B
    M --> N
    N --> B
```


```mermaid
flowchart TD
    A["注册"]
    B@{shape: text, label: "身份确认"}
    C["登记"]
    D@{shape: text, label: "资产(有形,无形)存在证明, 资产编码"}
    E["确权"]
    F@{shape: text, label: "生成密钥, 所有权控制"}
    G["状态追踪"]
    H@{shape: text, label: "溯源、防伪"}
    I@{shape: text, label: " "}
    J@{shape: text, label: "O"}
    K["人工确定"]
    L["智能合约"]
    M@{shape: text, label: "重要,下文补充"}
    N@{shape: text, label: "不通过, 终止"}
    O@{shape: text, label: "通过,交易"}
    P["支付、清算、汇兑"]
    R@{shape: text, label: "权利转移(租凭,买卖)"}

    A --> B
    A --> C
    C --> D
    C --> E
    E --> F
    E --> G
    G -->|时间能支持| H
    G --> J
    I -->|发起交易| J
    J -->|非自动| K
    J -->|自动| L
    L --> M
    K --> N
    L --> N
    K --> O
    L --> O
    O --> P
    R --> E
    R --> G
    R --> P
```


```mermaid
flowchart TD
    A@{shape: text, label: "毕昇先用木块刻字但发现木头纹理不匀,沾水易变形"}
    B@{shape: text, label: "后来用胶泥刻字"}
    C@{shape: text, label: "烧成单个胶泥活字"}
    D@{shape: text, label: "用带框铁板作底托<br>布满松脂、蜡、纸灰"}

    A --> B
    B --> C
    C --> D
```

```mermaid
flowchart TD
    A@{shape: text, label: "把活字排进框内,用火烘烧"}
    B@{shape: text, label: "压平字面,等冷却凝固就成了版形"}
    C@{shape: text, label: "印完把药剂烤化<br>将活字抖落即可"}

    A --> B
    B --> C
```


```mermaid
flowchart TD
    A["接收客户投诉"]
    B["记录客户投诉"]
    C["客户投诉记帐"]
    D{"判断投诉是否成立"}
    E["1h内答复客户"]
    F["责任部门分析"]
    G["判断具体情况"]
    H["责任部门出具方案"]
    I{"总经理审校"}
    J["通知客户处理"]
    K["按方案处理"]
    L["处理情况跟踪"]
    M["通知客户处理结果"]
    N["总结评价"]

    A --> B
    B --> C
    B --> D
    D --> E
    D -->|成立| F
    F --> G
    F --> H
    H --> I
    I -->|未通过| F
    I -->|通过| K
    I --> J
    K --> L
    K --> M
    D -->|已成立| N
```


### 《千人娃娃》思维导图

```mermaid
flowchart TD
    A["种棉花"]
    B["采摘棉花"]
    C["运到玩具厂"]
    D["养羊"]
    E["剪羊毛"]
    F["运到织布厂"]
    G["合成娃娃"]
    H["包装"]
    I["送货"]
    J["销售"]

    A ==> B
    B ==> C
    D ==> E
    E ==> F
    F ==> C
    C ==> G
    G ==> H
    H ==> I
    I ==> J
```


```mermaid
flowchart TD
    A@{ shape: text, label: " " }
    B@{ shape: text, label: "81格魔方" }
    C@{ shape: text, label: "包装袋(外卖袋)" }
    D@{ shape: text, label: "笔记本" }
    E@{ shape: text, label: "电脑" }
    F@{ shape: text, label: "便餐盒" }
    G@{ shape: text, label: "发夹" }
    H@{ shape: text, label: "方便面、棉花糖等" }
    I@{ shape: text, label: "枕头" }
    J@{ shape: text, label: "投子" }
    K@{ shape: text, label: "插座" }
    L@{ shape: text, label: "床" }
    M@{ shape: text, label: "讲台" }
    N@{ shape: text, label: "生日蛋糕" }
    O@{ shape: text, label: "课桌椅" }
    P@{ shape: text, label: "窗户" }
    Q@{ shape: text, label: "房子" }
    R@{ shape: text, label: "板砖" }
    S@{ shape: text, label: "相框" }

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> J
    J --> K
    K --> L
    L --> M
    M --> N
    N --> O
    O --> P
    P --> Q
    Q --> R
    R --> S
```


```mermaid
flowchart TD
    A["打开中断"]
    B{"TMR1F=1?"}
    C["继续计数"]
    D["TMR2IF=0"]
    E{"Sin-num = 31?"}
    F["sin-num=0<br>正负半波标志位置0"]
    G{"sin-num+1"}
    H["读取A/D转换值"]
    I{"正负半波标志位 = 1?"}
    J["更新ccp2的pwn脉冲"]
    K["更新ccp1的pwn脉冲"]

    A --> B
    B --> C
    C --> B
    B --> D
    D --> E
    E -->|Y| F
    E -->|N| G
    F --> H
    G --> H
    H --> I
    I -->|Y| J
    I -->|N| K
```


```mermaid
flowchart TD
    A@{ shape: text, label: "农民种土豆苗" }
    B@{ shape: text, label: "土豆" }
    C@{ shape: text, label: "清洗" }
    D@{ shape: text, label: "二次清洗和消毒" }
    E@{ shape: text, label: "去皮机去皮" }
    F@{ shape: text, label: "工人进行检验和分拣、" }
    G@{ shape: text, label: "切片机切片" }
    H@{ shape: text, label: "油炸加调味料" }
    I@{ shape: text, label: "包装" }
    J@{ shape: text, label: "送货" }
    K@{ shape: text, label: "销售" }

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> J
    J --> K
```


```mermaid
flowchart TD
    A["多道程序"]
    B@{shape: text, label: "提高并发性"}
    C["进程"]
    D@{shape: text, label: "监控进程状态"}
    E@{shape: text, label: "PCB(档案袋)."}
    F["进程调度"]
    G@{shape: text, label: "调度算法"}
    H@{shape: text, label: "调度准则."}
    I["特征 (并发性、异步性、独立性)"]
    J["死锁问题"]
    K@{shape: text, label: "僧多粥少"}
    L@{shape: text, label: "不恰当的运行次序"}
    M["银行家算法"]
    N["死锁定理"]
    O["竞争与合作问题<br>(同步与互斥问题)"]
    P@{shape: text, label: "靠交流、靠商量."}
    Q["进程间通信"]
    R["信号量的PV操作"]

    A --> C
    B -..->|进化目的| C
    D -..->|依据| F
    D -.-|记录工具| E
    C --> F
    F -.-|如何调度| G
    D -.- G
    G -.-|评价| H
    F --> I
    I --> J
    J -.- K
    J -.- L
    J -->|方法| M
    J -->|方法| N
    I --> O
    O --> Q
    P -..-> Q
    Q --> R
    R -..-> O
```


```mermaid
flowchart TD
    A["论文检索平台"]
    B["登陆"]
    C["修改密码"]
    D["注册"]
    E["功能选择界面"]
    F["论文导入"]
    G["论文管理"]
    H["论文收藏"]
    I["个人中心"]
    J["笔记本"]
    K["热点分析"]
    L["热点推送"]
    M["本地"]
    N@{shape: text, label: "查找"}
    O@{shape: text, label: "删除"}
    P@{shape: text, label: "增加"}
    Q["收藏夹"]
    R["退出"]
    S["笔记"]
    T["热词走势"]
    U["热词图谱"]

    A --> B
    B -->|忘记密码| C
    B -->|没有账号| D
    B --> E
    E --> F
    E --> G
    E --> H
    E --> I
    E --> J
    E --> K
    E --> L
    M -->|上传| F
    G --> N
    G --> O
    G --> P
    H ---|收藏| Q
    I --> Q
    I --> R
    I --> S
    J -->|写入| S
    K --> T
    K --> U
```


### 《活板》—沈括

```mermaid
flowchart TD
    A@{shape: text, label: "胶泥 铁板 松脂 纸灰 蜡"}
    B@{shape: text, label: "2.用胶泥刻字"}
    C@{shape: text, label: "3.火烧令坚"}
    D@{shape: text, label: "4.设一铁板其上以松脂、蜡和纸灰之类冒之"}
    E@{shape: text, label: "5.以一铁范置铁板上<br>(满铁范为一板)"}
    F@{shape: text, label: " "}
    G@{shape: text, label: "7.则以一铁板按其面"}
    H@{shape: text, label: "[要印刷时]<br>1.常做二铁板(更互用之)<br>一板印 一板排字 "}
    I@{shape: text, label: "2.每一字皆有数印<br>(以备一板内有重复者)<br>之 也 以"}
    J@{shape: text, label: "3.有奇字素无备者，旋刻之"}
    K@{shape: text, label: "[使用方法]<br>1.排好字印"}
    L@{shape: text, label: "2.刷上黑"}
    M@{shape: text, label: "3.铺上纸，并按压"}
    N@{shape: text, label: "4.完成！"}

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G ~~~ H
    H --> I
    I --> J
    J ~~~ K
    K --> L
    L --> M
    M --> N
```


### 制作桃子果酱的过程

```mermaid
flowchart TD
    A@{ shape: text, label: "(摘桃子)"}
    B@{ shape: text, label: "(切块)"}
    C@{ shape: text, label: "(用榨汁机绞成七分碎)"}
    D@{ shape: text, label: "(加入糖和水,放入锅中用火熬粘稠)"}
    E@{ shape: text, label: "(冷却后倒入玻璃瓶中)"}
    F@{ shape: text, label: "(放入冰箱冷藏)"}
    G@{ shape: text, label: "(吃面包时可以涂一点哦!)"}

    A ==> B
    B ==> C
    C ==> D
    D ==> E
    E ==> F
    F ==> G
```


```mermaid
flowchart TD
    A@{shape: text, label: "农民"}
    B@{shape: text, label: "甘蔗"}
    C@{shape: text, label: "甜菜"}
    D@{shape: text, label: "工具、火"}
    E@{shape: text, label: "甘蔗汁"}
    F@{shape: text, label: "甜菜汁"}
    G@{shape: text, label: "糖"}
    H@{shape: text, label: "千人糕"}
    I@{shape: text, label: "大米"}
    J@{shape: text, label: "包装"}
    K@{shape: text, label: "稻子"}
    L@{shape: text, label: "送货"}
    M@{shape: text, label: "农民"}
    N@{shape: text, label: "种子"}
    O@{shape: text, label: "农具"}
    P@{shape: text, label: " "}
    Q@{shape: text, label: "水"}
    R["销售"]

    A --- B
    A --- C
    B --- E
    C --- F
    D --- G
    E --- G
    F --- G
    G --- H
    H --- I
    H --- J
    I --- K
    J --- L
    K --- M
    K --- N
    K --- O
    K --- P
    K --- Q
    L --- R
```


```mermaid
flowchart TD
    A["生产力先进"]
    B["生产关系"]
    C{"是否有利于生产力？"}
    D["生产力不先进"]
    E["经济基础"]
    F{"能否适应生产力？"}
    G["经济基础先进"]
    H["上层建筑先进"]

    A -->|决定| B
    B --> C
    C -->|是| A
    C -->|不是| D
    A -->|决定| E
    E --> F
    F -->|能| G
    G --> H
    A -->|决定| H
```


```mermaid
flowchart TD
    A@{shape: text, label: "① 准备材料：<br>胶泥<br>刻刀<br>铁板<br>松脂、蜡和纸灰之类<br>白纸"}
    B@{shape: text, label: "② 胶泥刻字："}
    C@{shape: text, label: "③ 火烧令坚"}
    D@{shape: text, label: "④ 设铁板"}
    E@{shape: text, label: "⑤ 满铁范一板，置于板上"}
    F@{shape: text, label: "⑥ 持就火炀之"}
    G@{shape: text, label: "⑦ 用一平板按其面"}
    H@{shape: text, label: "⑧ 常作二铁板"}
    I@{shape: text, label: "⑨ 有奇字素无备者，旋刻之，以草火烧"}
    J@{shape: text, label: "⑩ 更互用之."}

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> J
```


### 排版

```mermaid
flowchart TD
    A@{shape: text, label: "设板"}
    B@{shape: text, label: "冒板"}
    C@{shape: text, label: "布板"}
    D@{shape: text, label: "炀板"}
    E@{shape: text, label: "平板"}

    A --> B
    B --> C
    C --> D
    D --> E

    linkStyle 0,1,2,3 stroke:#ff0000
```


### 可行性分析逻辑图

```mermaid
flowchart TD
    A["开始"]
    B@{shape: bow-rect, label: "医生输出病患标准数据"}
    C[("服务器")]
    D["采集病人生理数据"]
    E{对比大小}
    F["警报"]
    G["结束"]

    A --> B
    B <---> C
    B --> D
    C <---> D
    D --> E
    E -->|在预测范围内| D
    E -->|不在预测范围| F
    F --> G
```

```mermaid
flowchart TD
    A["医生"]
    B["标准数据"]
    C["病人端客户机"]
    D["实测数据"]
    E(["服务器"])
    F["警报数据"]
    G["护士"]
    H["指定打印数据"]

    A <---> B
    C <---> D
    B --> E
    D --> E
    E --> F
    F --> G
    E <---> H
    G <---> H
```


```mermaid
flowchart TD
    A(["开始"])
    B["ds←dseg<br>d←ds:[0]<br>ch←0<br>bx←1"]
    C["push si<br>push ax<br>CX←CX-1"]
    D{"CX=0"}
    E["push cx<br>si←bx"]
    F{"CX=0"}
    G["al←si"]
    H{"al<[si+1]"}
    I["ah←si+1<br>[si+1]←al<br>[si]←ah"]
    J["si←si+1<br>cx←cx-1"]
    K["pop cx<br>CX←cx-1"]
    L["pop ax<br>pop si"]
    M(["结束"])

    A --> B
    B --> C
    C --> D
    D -->|Yes| L
    D -->|NO| E
    E --> F
    F -->|Yes| K
    F -->|No| G
    G --> H
    H -->|Yes| I
    H -->|No| J
    I --> J
    J --> F
    K --> D
    L --> M
```


```mermaid
flowchart TD
    A["概念："]
    B["准确"]
    C["正确"]
    D["清晰"]
    E["指导意义"]
    F["行动执行"]
    G["找定义"]

    A --> B
    B -->|yes| C
    B -->|no| G
    C -->|yes| D
    C -->|no| G
    D -->|yes| E
    D -->|no| G
    E -->|yes| F
    E -->|no| G
    F -->|把大脑洗干净| A
```


```mermaid
flowchart TD
    A["正方形"]
    B@{shape: text, label: "魔方"}
    C@{shape: text, label: "房子"}
    D@{shape: text, label: "面包"}
    E@{shape: text, label: "时钟"}
    F@{shape: text, label: " "}

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
```

```mermaid
flowchart TD
    A@{shape: text, label: "机器熊"}
    B@{shape: text, label: "橡皮"}
    C@{shape: text, label: "桌子"}
    D@{shape: text, label: "烤箱"}
    E@{shape: text, label: "甜筒"}
    F@{shape: text, label: " "}

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
```

```mermaid
flowchart TD
    A@{shape: text, label: "蛋糕"}
    B@{shape: text, label: "生日贺卡"}
    C@{shape: text, label: "国旗"}
    D@{shape: text, label: "正方形"}

    A --> B
    B --> C
    C --> D
```


### 排版

```mermaid
flowchart TD
    A@{shape: text, label: "先设一铁板"}
    B@{shape: text, label: "以松脂、蜡和纸灰之类冒之"}
    C@{shape: text, label: "以铁范置铁板上，满铁范为一板"}
    D@{shape: text, label: "持就火炀之"}
    E@{shape: text, label: "以一平板按其面，则字平如砥"}

    A --> B
    B --> C
    C --> D
    D --> E
```


### 造字

```mermaid
flowchart TD
    A@{shape: text, label: "胶泥"}
    B@{shape: text, label: "刻字<br>薄如钱唇"}
    C@{shape: text, label: "火烧令坚"}

    A --> B
    B --> C
```

### 排版

```mermaid
flowchart TD
    A@{shape: text, label: "设一铁板以松脂、蜡和纸灰之类冒之"}
    B@{shape: text, label: "以铁范置铁板上"}
    C@{shape: text, label: "以一平板按其面,则字平如砥"}

    A --> B
    B --> C
```

### 印刷

```mermaid
flowchart TD
    A@{shape: text, label: "一板印刷"}
    B@{shape: text, label: "另一板己自布字"}
    C@{shape: text, label: "瞬息可救"}

    A --> B
    B --> C
```


```mermaid
flowchart TD
    A(["开始"])
    B["输入操作"]
    C{"input"}
    D["输入不合规"]
    E["依次输入进程信息、添加进程"]
    F["将所有进程输出"]
    G["选择调度算法"]
    H{"function_choice"}
    I["输入错误"]
    J["使用先到先服务算法,输出调度结果"]
    K["短作业优先调度算法,输出调度结果"]
    L["时间片轮转调度算法,输出调度结果"]
    M["非抢占式优先级调度算法,输出调度结果"]
    N["结束"]

    A --> B
    B --> C
    C -->|其他| D
    C -->|input=1| E
    C -->|input=2| F
    C -->|input=3| G
    C -->|input=0| N
    D --> B
    E --> B
    F --> B
    G --> H
    H -->|其它| I
    H -->|choice=1| J
    H -->|choice=2| K
    H -->|choice=3| L
    H -->|choice=4| M
    I --> B
    J --> B
    K --> B
    L --> B
    M --> B
```


### 二.三班 泰若溪

```mermaid
flowchart TD
    A@{ shape: text, label: "种子" }
    B@{ shape: text, label: " " }
    C@{ shape: text, label: " " }
    D@{ shape: text, label: " " }
    E@{ shape: text, label: "制成面粉" }
    F@{ shape: text, label: " " }
    G@{ shape: text, label: "这就成了人们吃的馍了。" }
    H@{ shape: text, label: "从种子到人们日常生活中，每天所吃到的馒头。" }

    A ===>|播种| B
    B ===>|除草 施肥| C
    C ===>|成熟脱粒| D
    D ===> E
    E ===>|加工上锅蒸馍| F
    F ===> G
    G ~~~ H
```


### 贵阳观山湖逸香斋餐馆食品加工流程图

```mermaid
flowchart TD
    A["原料、辅料验收"]
    B["退回销售商"]
    C["餐用具"]
    D["原料、辅料贮藏"]
    E["粗加工"]
    F["切配"]
    G["烹调"]
    H["食品留样"]
    I["装盘"]
    J["餐具消毒保洁"]
    K["摆台食用"]

    A --> B
    A -->|合格| D
    A --> E
    D --> E
    C --> J
    C --> K
    D -->|辅料| G
    E --> F
    F --> G
    G --> H
    G --> I
    J --> I
    I --> K
```


### 千人床

```mermaid
flowchart TD
    A@{shape: text, label: "种树"}
    B@{shape: text, label: "伐木"}
    C["木板"]
    D["木板 油漆"]
    subgraph ide1[" "]
        E@{shape: text, label: "设计"}
        F@{shape: text, label: "制作"}
    end
    G@{shape: text, label: "成品"}
    H["包裹"]
    I@{shape: text, label: "运输"}
    J@{shape: text, label: " "}

    A ==> B
    B ==> C
    C ==> D
    D ==> ide1
    ide1 ==> G
    G ==> H
    H ==> I
    I ==> J
```


### 操作流程图

```mermaid
flowchart TD
    A["原材料验收"]
    B["返回销售商"]
    C["原材料贮藏"]
    D["粗加工"]
    E["切配"]
    F["精加工、烘烤"]
    G["即成 成品"]
    H["销毁、丢弃"]
    I["打包、销售"]

    A -->|不合格| B
    A -->|合格| C
    A --> D
    C --> D
    D --> E
    E --- F
    F -->|晾凉| G
    C --> F
    G -->|不合格| H
    G -->|合格| I
```


### 遗传算法流程图：

```mermaid
flowchart TD
    A(["开始"])
    B(["初始化种群"])
    C["种群第一代<br>G=0"]
    D@{shape: text, label: "G即第n代"}
    E["计算适应度"]
    F["选择操作"]
    G["交叉操作"]
    H["变异操作"]
    I["产生下一代种群"]
    J{"G > 迭代次数"}
    K["G = G + 1"]
    L["输出最佳方案"]
    M(["结束"])

    A ==> B
    B --> C
    D ~~~ C
    C --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> K
    K --> J
    J -->|No| E
    J -->|Yes| L
    L --> M
```


```mermaid
flowchart TD
    A@{shape: text, label: "正方形"}
    B@{shape: text, label: "水杯"}
    C@{shape: text, label: "牛奶盒"}
    D@{shape: text, label: "信封"}
    E@{shape: text, label: "袋子"}
    F@{shape: text, label: "画框"}
    G@{shape: text, label: "插座"}
    H@{shape: text, label: "书本"}
    I@{shape: text, label: "黑板"}
    J@{shape: text, label: "骰子"}
    K@{shape: text, label: "日历"}
    L@{shape: text, label: "插头"}
    M@{shape: text, label: "魔方"}

    A --> B
    A ~~~ E
    B --> C
    C --> D
    E --> F
    E ~~~ I
    F --> G
    G --> H
    I --> J
    I ~~~ M
    J --> K
    K --> L
```


### 排版

```mermaid
flowchart TD
    A@{shape: text, label: "先设一铁板"}
    B@{shape: text, label: "以松脂、蜡和纸灰一类冒之"}
    C@{shape: text, label: "以铁范置铁板上,满铁范为一板"}
    D@{shape: text, label: "持就火炀之"}
    E@{shape: text, label: "以一平板按其面，则字平如抵"}

    A ==> B
    B ==> C
    C ==> D
    D ==> E
```


### 可行性分析—逻辑图：

```mermaid
flowchart TD
    A(["开始"])
    B@{ shape: bow-rect, label: "医生输出病患标准数据" }
    C["采集病人生理数据"]
    D{"对比大小"}
    E[("服务器")]
    F["警报"]
    G(["结束"])

    A --> B
    B --> C
    C --> E
    B <--> E
    C --> D
    D -->|在预测范围内| C
    D -->|不在预测范围| F
    F --> G
```

```mermaid
flowchart TD
    A["医生"]
    B["$$D_{1}$$: 标准数据"]
    C(("服务器"))
    D["病人端客户机"]
    E["$$D_{2}$$: 实测数据"]
    F["$$D_{3}$$: 警报数据"]
    G["护士"]
    H["$$D_{4}$$: 指定打印数据"]

    A <--> B
    B --> C
    D <--> E
    E --> C
    C --- F
    F --> G
    C <--> H
    G <--> H
```


### 制作过程

```mermaid
flowchart TD
    A@{shape: text, label: "朴籽叶"}
    B@{shape: text, label: "摘朴子叶"}
    C@{shape: text, label: "洗净"}
    D@{shape: text, label: "榨汁"}
    E@{shape: text, label: "倒入面粉、粘米粉、泡打粉"}
    F@{shape: text, label: "加朴籽汁搅伴均匀"}
    G@{shape: text, label: "倒入模具"}
    H@{shape: text, label: "蒸熟"}

    A ==> B
    B ==> C
    C ==> D
    D ==> E
    E ==> F
    F --> G
    G --> H
```


```mermaid
flowchart TD
    A@{ shape: text, label: "① 准备材料：胶泥 刻刀 铁板 松脂/蜡/纸灰之类 白纸" }
    B@{ shape: text, label: "② 胶泥刻字：" }
    C@{ shape: text, label: "③ 火烧令坚" }
    D@{ shape: text, label: "④ 设铁板" }
    E@{ shape: text, label: "⑤ 满铁泥一板，置于板上" }
    F@{ shape: text, label: "⑥ 持就火炀之" }
    G@{ shape: text, label: "⑦ 用一平板按其面" }
    H@{ shape: text, label: "⑧ 常作二铁板" }
    I@{ shape: text, label: "⑨ 有奇字素无备者，旋刻之，以草火烧" }
    J@{ shape: text, label: "⑩ 更互用之" }

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> J
```


```mermaid
flowchart TD
    A["client<br>int main() { }"]
    B["ElectFactory<br>CreateComputer()=0<br>CreateMobiePhone()=0"]
    C["LENOVOFactory<br>CreateComputer()<br>CreateMobiephone()"]
    D["Acer Factory<br>CreateComputer()<br>CreateMobiephone()"]
    E["AsesuFactory<br>CreateComputer()<br>CreaterMobiephone()"]
    F["Eclc Elec Product"]
    G["Computer"]
    H["MobiePhone"]

    A --- B
    A --- F
    B --- C
    B --- D
    B --- E
    C -.-> G
    C -.-> H
    D -.-> G
    D -.-> H
    E  -.-> G
    E -.-> H
    F --- G
    F --- H
```


```mermaid
flowchart TD
    A["Start"]
    B["system clock Initialization"]
    C["GPIO Initialization"]
    D["Display Initialization"]
    E["Product Information Initialization"]
    F["Key Initialization"]
    G["Goods Sensor Initialization"]
    H["pickup Sensor Initialization"]
    I{"Loop Execution while (1)"}
    J["User Input Command"]
    K{"check if Input is Valid"}
    L["Execute Different Operations"]
    M["Display Updates Product Information"]
    N["Update Dispensing Motor"]
    O["Check if User Initiates Shutdown"]
    P["Exit System Operation"]
    Q["Display Updates Product Information"]
    R["Check if Microcontroll-er is Powered off"]
    S["End"]

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    H --> I
    I --> J
    J --> K
    K -->|Y| L
    K -->|N| J
    L --> M
    M --> N
    N --> O
    O -->|Y| P
    O -->|N| J
    P --> Q
    Q --> R
    R -->|Y| S
    R -->|N| I
```


```mermaid
flowchart TD
    A["start"]
    B["Age above 40 years old"]
    C["Not included program"]
    D["Risk Assessment<br>health check"]
    E["High diabetes risk"]
    F["High blood pressure"]
    G["Lifestyle Risk Management"]
    H["clinical Assessment"]
    I["Risk Managment"]
    J["5 years"]
    K["Remain programme"]
    L["End"]

    A --> B
    B -->|Yes| D
    B -->|No| C
    C --> L
    D --> E
    E -->|Yes| H
    E -->|No| F
    F -->|Yes| H
    F -->|No| G
    G --> J
    H --> I
    I --> G
    J --> K
    K -->|Yes| D
    K -->|No| L
```


```mermaid
flowchart TD
    A@{ shape: text, label: "构造函数 Function" }
    B@{ shape: text, label: "Function.prototype" }
    C@{ shape: text, label: "function(实例)" }
    D@{ shape: text, label: "object.prototype" }
    E@{ shape: text, label: "object" }
    F@{ shape: text, label: "null" }

    A -->|prototype| B
    B -->|constructor指向本身| A
    A -->|new| C
    C -->|"--proto--([[prototype]])"| B
    B -->|--proto--| D
    D -->|Constructor| E
    E -->|prototype| D
    D -->|--proto--| F
```


```mermaid
flowchart TD
    A["Confucianism"]
    B[\"doctrine of Confucius and Mencius"/]
    C["thoughts and characteristics"]
    D["influence"]
    subgraph id1[ ]
        E["Confucius"]
        F["Menous"]
        G@{shape: text, label: ""benevolence" "propriety"<br>《The Analects of Confucius》"}
        H@{shape: text, label: ""policy of benevolence"<br/>"People are more important than the Emperor""}
    end
    I[""benevolence" "righteousness" "propriety" "wisdom" "fidelity""]
    subgraph id2[ ]
        J["① Harmony and peaceful development"]
        K["② Human consciousness and respect for people"]
        L["③ The sense of distress and responsibility"]
        M["④ Moral consciousness and civilization"]
    end

    A --> B
    A --> C
    A --> D
    B --- id1
    E --- G
    F --- H
    C --- I
    D --- id2
```


```mermaid
flowchart TD
    A["stamps"]
    B["Canada"]
    C["They have got ···"]
    D["China"]
    E["Letters for you"]
    F["have another Chinese stamps"]
    G["Do you collect stamps?"]
    H["Yes, I have / No, I haven't"]

    A ---|from| B
    B --- C
    A --- D
    D --- E
    E --> F
    A --- G
    G --- H
    G --- H
```


```mermaid
flowchart TD
    A("start")
    B["target = random()"]
    C[/"Read guess"/]
    D{"target == guess"}
    E["print \"you won!\""]
    F["print \"wrong guess, try again\""]

    A --> B
    B --> C
    C --> D
    D -->|True| E
    D -->|False| F
    F --> C
```


```mermaid
flowchart TD
    A["p<br>name=&quot若愚<br>--proto--"]
    B["Person<br>name<br>prototype<br>--proto--"]
    C["Person.prototype<br>sayName<br>--proto--<br>constructor"]
    D["Function<br>prototype<br>--proto--"]
    E["Function.prototype<br>--proto--<br>constructor"]
    F["Object<br>prototype<br>--proto--"]
    G["Object.prototype<br>constructor<br>--proto--<br>to String"]
    H["Null"]

    A --> B
    B --> C
    B --> D
    C --> B
    C --> F
    D --> E
    E --> D
    E --> F
    F --> G
    G --> F
    G --> H
```


```mermaid
flowchart TD
    A["Benefits of working"]
    B["mentally"]
    C["materially"]
    D["self-affirmation"]
    E["social-affirmation"]
    F["stable income"]
    G["physical health"]
    H["self satisfaction"]
    I["self-revenge"]
    J["mental fulfilment"]
    K["enhance experience"]
    L["Social feedback"]
    M["social prestige"]
    N["Government recognition"]
    O["Potential salary increase potential"]
    P["basic salary"]
    Q["You can buy everything you want"]
    R["exercise regular"]
    S["walking"]
    T["cycling"]
    U["runing"]
    V["Company gym"]
    W["regular diet"]
    X["breakfast"]
    Y["lunch"]
    Z["dinner"]

    A --- B
    A --- C
    B --- D
    B --- E
    C --- F
    C --- G
    D --- H
    H --- I
    I ~~~ J
    J ~~~ K
    E --- L
    L --- M
    M ~~~ N
    F --- O
    F --- P
    P --- Q
    G --- R
    R --- S
    S ~~~ T
    T ~~~ U
    U ~~~ V
    G --- W
    W --- X
    X --- Y
    Y ~~~ Z
```


```mermaid
flowchart TD
    A["Control Unit 1"]
    B["Processor Unit 1"]
    C["Control Unit 2"]
    D["Processor Unit 2"]
    E["control unit n"]
    F["Processor Unit n"]
    subgraph ide1 [ ]
        G["memory module 1"]
        H["memory module 2"]
        I["memory module n"]
    end

    A -->|Instruction<br>stream 1| B
    A ~~~ C
    B <-->|data<br>stream 1| ide1
    B ~~~ D
    C -->|Instruction<br>stream 2| D
    D <-->|data<br>stream 2| ide1
    E -->|Instruction<br>stream n| F
    F <-->|data<br>stream n| ide1
    G ~~~ H
    H ~~~ I
    ide1 -->|Instruction stream| A
    ide1 -->|Instruction stream| C
    ide1 -->|Instruction stream| E
```


```mermaid
flowchart TD
    A@{shape: text, label: "Post Metadata()"}
    B@{shape: text, label: "Write DataList()"}
    C@{shape: text, label: "WriteData()"}
    D@{shape: text, label: "Publish Metadata()"}
    E@{shape: text, label: "SetMetadataByTag()"}
    F@{shape: text, label: "Publish MetadataInternal()"}
    G@{shape: text, label: "NotifyImmediate()"}
    H@{shape: text, label: "NotifyCliene()"}
    I@{shape: text, label: "On ProperyUpdate()"}
    J@{shape: text, label: "UpdateDependency()"}
    K@{shape: text, label: "UpdateOrRemoveDependency()"}
    L@{shape: text, label: "On MetadataUpdate()"}
    M@{shape: text, label: "UpdateDependency()"}
    N@{shape: text, label: "UpdateOrRemoveDependency()"}

    A --> B
    B --> C
    C --> D
    C --> E
    D --> F
    F --> G
    G --> H
    H --> I
    H -->|IsProperty（unitId）| L
    I --> J
    J --> K
    L --> M
    M --> N
```


```mermaid
flowchart TD
    A(["start"])
    B["SC=n-1<br>M=Divisor<br>A=0<br>Q=Devidend"]
    C["shift left AQ"]
    D["A=A-M"]
    E{"MSB of A"}
    F["$$Q_{O}=1$$"]
    G["$$Q_{O}=0$$<br>Restore A"]
    H["SC=SC-1"]
    I{"SC=0"}
    J[/"Quotient in Q<br>and remainder in A"/]
    K(["end."])

    A --> B
    B --> C
    C --> D
    D --> E
    E -->|=0| F
    E -->|=1| G
    F --> H
    G --> H
    H --> I
    I ---|No| B
    I -->|Yes| J
    J --> K
```


```mermaid
flowchart TD
    A["Determine Requirements & objectives"]
    B["Requirements Investigation"]
    C["Requirements List"]
    D["Output Requirements Plan"]
    E["Did Requirements Review Pass?"]
    F["Requirements Development & Testing"]
    G["Did Requirements Acceptance Pass."]
    H["Evaluate & Adjust Scope."]
    I["Development Adjustment."]
    J["Test & Verify"]
    K["Launch"]
    L["Review"]

    A --> B
    B --> C
    C --> D
    D --> E
    E -->|NO| D
    E -->|NO| F
    F --> G
    G -->|yes| K
    G -->|no| H
    H --> I
    I --> J
    J --> G
    K --> L
```


```mermaid
flowchart TD
    A["Control Unit"]
    B["Processor Umit 1"]
    C["Processor Unit 2"]
    D["Processor Unit 3"]
    subgraph id1 [" "]
        E["memory module 1"]
        F["memory module 2"]
        G["memory module 3"]
    end

    A -->|Instruction<br>Stream| B
    A -->|Instruction<br>Stream| C
    A -->|Instruction<br>Stream| D
    B <-->|Data Stream| id1
    C <-->|Data Stream| id1
    D <-->|Data Stream| id1
    id1 -->|Instruction Stream| A
```


```mermaid
flowchart TD
    A["Entry (systerm-call)"]
    B["SAVE ALL"]
    C{"cmpl $(nr-syscalls), %eax"}
    D["Syscall-badsys"]
    E["call*sys-call_table(,%eax.4)"]
    F["movl %eax, PT-EAX(%esp)"]
    G{"syscall exit."}
    H["syscall-exit-work"]
    I["work-pending"]
    J["work-resched"]
    K["restore-all"]
    L["iret"]

    A --> B
    B --> C
    C -->|NO| D
    C -->|Yes| E
    E --> F
    F --> G
    G -->|Yes| H
    G -->|NO| K
    H --> I
    I --> J
    J --> K
    K --> L
```


```mermaid
flowchart TD
    A["Scaling Solution"]
    B["Sidechain"]
    C["Plasma"]
    D["Rollups"]
    E["Validium"]
    F["State Channels"]
    G["Optimistic Rollup"]
    H["FRAUD PROOF"]
    I["Zero knowledge Rollup"]
    J["VALIDITY PROOF"]
    K["ZK SNARK"]
    L["ZK STARK"]

    A --> B
    A --> C
    A --> D
    A --> E
    A --> F
    D --> G
    D --> I
    G --> H
    I --> J
    J --> K
    J --> L
```


```mermaid
flowchart TD
    A(("start"))
    B["current $$=S_{0}$$"]
    C{"is current a leaf node?"}
    D["current = child node of current that maximises UCB1 ($$S_{i}$$)"]
    E{"is the $$\ n_{i}\ $$ value for current 0?"}
    F["ROLLOUT"]
    G["for each available action from current, add a new state to the tree"]
    H["current = first new child node"]
    I["ROLLOUT"]

    A --> B
    B --> C
    C -->|NO| D
    D --> C
    C -->|YES| E
    E -->|YES| F
    E -->|NO| G
    G --> H
    H --> I
```


```mermaid
flowchart TD
    A["DEPARTMENT<br>Name<br>getAverageSalary"]
    B["ALLOCATION"]
    C["EMPLOYEE<br>Name<br>Salary<br>getAge"]
    D["ROLE<br>Name"]
    E["SEX<br>Name"]
    F["Race<br>Name"]

    A --- B
    B --- C
    C --- D
    C --- E
    C --- F
```


```mermaid
flowchart TD
    A["p1.<br>饥人谷<br>--proto--"]
    B["p2.<br>前端<br>--proto--"]
    C["people.prototype<br>Walk.<br>Constructor<br>--proto--"]
    D["People<br>name<br>syaName<br>prototype<br>--proto--"]
    E["fuction.prototype<br>Constructor<br>--proto--"]
    F["object.prototype<br>Constructor<br>--proto--"]
    G["fuction.<br>prototype<br>--proto--"]
    H["object<br>prototype<br>--proto--"]
    I["NULL"]

    A --> C
    B --> C
    D --> C
    C --> D
    D --> E
    C --- E
    C --> F
    E --> G
    F --> H
    F --> I
```


### 组合继承

```mermaid
flowchart TD
    A["Object <br> Prototype"]
    B["Object Prototype <br> Constructor <br> toString (function) <br> ... ..."]
    C["Person <br> Prototype"]
    D["Person Prototype <br> [[Prototype]] <br> Constructor"]
    E["Boy <br> Prototype"]
    F["Boy Prototype <br> [[Prototype]] <br> name undefined <br> sex undefined"]
    G["boy <br> [[Prototype]] <br> name “张三”<br> sex 男 <br> age 16"]

    A --> B
    B --> A
    D --> B
    D --> C
    C --> D
    E --> F
    F --> D
    G --> F
```


```mermaid
flowchart TD
    A["Iterable"]
    B["Collection"]
    C["List"]
    D["Queue"]
    E["Set"]
    F["Abstractlist"]
    G["Deque"]
    H["SortedSet"]
    I["Vector"]
    J["ArrayList"]
    K["LinkedList"]
    L["Stack"]
    M["PriorityQueue"]
    N["TreeSet"]
    O["HashSet"]

    B --> A
    C --> B
    D --> B
    E --> B
    F --> C
    G --> D
    H --> E
    I --> F
    I --> G
    J --> F
    J --> G
    K --> G
    L --> I
    M --> D
    N --> H
    O --> E
```


```mermaid
flowchart TD
    subgraph id1[" "]
        A["Blob<br>- data<br>- diff<br>+ cpu_data()<br>+ cpu_diff()<br>+ gpu_data()<br>+ gpu_diff()<br>+ Reshape()"]
        B["SyncedMem<br>- cpu_ptr<br>- gpu_ptr<br>+ cpu_data()<br>+ gpu_data()"]
    end
    C["Layer_Factory Registry"]
    D["Layer<br>- blob_<br>+ Setup()<br>+ Forward()<br>+ Backward()"]
    E["DataReader"]
    F["Filler<br>+ Fill()"]
    G["DataTransformer<br>+ Transform"]
    H["Net<br>- params_<br>- layers_<br>- blobs_<br>- bottom_vecs_<br>- top_vecs_<br>- params_lr_<br>- weight_decay_<br>+ Init()<br>+ Forward()<br>+ Backward()"]
    I["Solver<br>- net_<br>- test_nets_<br>- callbacks_<br>- losses_<br>+ Init()<br>+ Restore()<br>+ Solve()<br>+ ApplyUpdate()"]
    J["Solver_Factory Registry"]
   K["P2PSync<br>- parent_<br>- children_<br>- queue_<br>- solver_<br>+ Prepare()<br>+ Run()"]

    A ~~~ B
    id1 ==> D
    C --> D
    E --> D
    F --> D
    G --> D
    D ==> H
    H ==> I
    J --> I
    I ==> K
```


```mermaid
flowchart TD
    A["DEV"]
    B["gitlab"]
    subgraph ide1["NBE"]
        C["Pot"]
        D["ETCD"]
        E["Levi"]
        F["Test"]
        G["Build"]
        H["Levi"]
        I["Registry"]
        J["Container"]
        K["Container"]
    end
    L["log / Metric"]

    A -->|PR| B
    A -->|merge| B
    A --> B
    B -->|Hook| C
    C -->|update| D
    C -->|Build/Test| E
    C -->|Deploy/update| H
    E --> F
    E --> G
    G --> I
    I --> H
    H --> L
    H --> J
    H --> K
    L --> A
    K -->|collect| L

    style ide1 fill:none,stroke:#333,stroke-dasharray:5 5
```


```mermaid
flowchart TD
    A["Modify Login Password"]
    B["Enter Original Password"]
    C["Is it correct"]
    D["Prompt to Re-enter"]
    E["Enter New Password"]
    F["Is the original password the same as the new password"]
    G["Prompt that they are the same, Re-enter New Password"]
    H["Re-enter New Password"]
    I["Are the two new password entries the same"]
    J["Prompt that they do not match, Re-enter the New Password Twice."]
    K["Password Modified Successfully"]
    L["Forgot Password"]
    M["Enter Email Address"]
    N["Send Email"]
    O["Enter Mobile Number"]
    P["Get SMS verification Code and Enter it"]
    Q["Reset Login Password"]

    A --> B
    B --> C
    C -->|NO| D
    C -->|yes| E
    D --> B
    D --> L
    E --> F
    F -->|yes| G
    F -->|NO| H
    G --> E
    H --> I
    I -->|yes| K
    I -->|NO| J
    J --> H
    L --> M
    L --> O
    M --> N
    N --> Q
    O --> P
    P --> Q
```


```mermaid
flowchart TD
    A@{shape: text, label: "IO流"}
    B@{shape: text, label: "字节流"}
    C@{shape: text, label: "字符流"}
    D@{shape: text, label: "InputStream"}
    E@{shape: text, label: "OutputStream"}
    F@{shape: text, label: "FileInputStream"}
    G@{shape: text, label: "FileOutputStream"}
    H@{shape: text, label: "BufferedInputStream"}
    I@{shape: text, label: "BufferedOutputStream"}
    J@{shape: text, label: "这里不是直接实现"}
    K@{shape: text, label: "Reader"}
    L@{shape: text, label: "Writer"}
    M@{shape: text, label: "InputStreamReader"}
    N@{shape: text, label: "OutputStreamWriter"}
    O@{shape: text, label: "FileReader"}
    P@{shape: text, label: "FileWriter"}
    Q@{shape: text, label: "BufferedReader"}
    R@{shape: text, label: "BufferedWriter"}

    A --> B
    A --> C
    B --> D
    B --> E
    D --> F
    D --> H
    E --> G
    E --> I
    D -.- J
    E -.- J
    C --> L
    C --> K
    K --> Q
    K --> M
    M --> O
    L --> R
    L --> N
    N --> P
```


```mermaid
flowchart TD
    subgraph id1[ ]
        A["HDFS client"]
        B["Distributed FileSystem"]
        C["FSData InputStream"]
    end
    D["NameNode"]
    E["DataNode"]
    F["DataNode"]
    G["DataNode"]

    A -->|1. open| B
    A -->|3. read| C
    A -->|6. close| C
    id1 -->|2. get block locations| D
    C -->|4. read| E
    C -->|5. read| G
```


```mermaid
flowchart TD
    A["start"]
    B["WT588 Initialization"]
    C["Bluetooth Serial Port Initialization"]
    D["Display Information via Bluetooth/LCD1602"]
    E["In Automatic Mode"]
    F["Sound Detected"]
    G["Turn On Motor"]
    H["play Music."]
    I["Temperature Acquisition"]
    J["Bedwetting Detected"]
    K["LED Indicator Light On"]
    L["WT588D Voice Broadcast."]
    M["In Manual Mode"]
    N["System Enabled"]
    O["Sound Detected"]
    P["play music & Turn On Motor"]
    Q["Display Current Status & Reset"]
    R@{shape: text, label: " "}
    S["end"]

    A --> B
    B --> C
    C --> D
    R --> D
    D --> E
    D --> I
    D --> M
    E --> F
    F -->|N| D
    F -->|Y| G
    G --> H
    H --> S
    I --> J
    J -->|Y| K
    J ---|N| Q
    K --> L
    L --> S
    M --> N
    N --> O
    O -->|N| P
    P -->|N| S
    Q --> S
```


```mermaid
flowchart TD
    A["Stack."]
    B["Vector."]
    C["AttributeList"]
    D["ArrayList."]
    E["LinkedList."]
    F["ArrayDeque"]
    G["List."]
    H["Deque."]
    I["PriorityQueue"]
    J["Queue."]
    K["EnumSet"]
    L["Set."]
    M["LinkedHashSet"]
    N["HashSet."]
    O["TreeSet."]
    P["SortedSet."]
    Q["Collection."]

    A --> B
    B --> G
    C --> D
    D --> G
    E --> G
    E --> H
    F --> H
    H --> J
    I --> J
    G --> Q
    J --> Q
    K --> L
    M --> N
    N --> L
    O --> P
    P --> L
    L --> Q

    style Q stroke-dasharray: 5 5
    style G stroke-dasharray: 5 5
    style J stroke-dasharray: 5 5
    style L stroke-dasharray: 5 5
    style H stroke-dasharray: 5 5
    style I stroke-dasharray: 5 5
    style P stroke-dasharray: 5 5
```


```mermaid
flowchart TD
    A["start"]
    B["Initialization"]
    C["Scan Keypad"]
    D{"Key pressed?"}
    E["Output Corresponding Tone"]
    F{"key released?"}
    G["stop Output"]

    A --> B
    B --> C
    C --> D
    D -->|NO| C
    D -->|Yes| E
    E --> F
    F -->|No.| E
    F -->|Yes| G
```


```mermaid
flowchart TD
    A("_clusterGraphics")
    B("_clusterTest")
    C("_claseerAddPoint")
    D("_clusterCreate")
    E("_showAllClusters")
    F("_showcluster")
    G["zoom changed"]
    H["add new points"]

    A ---|true| C
    A ---|false| D
    B -->|true| C
    B -->|false| D
    C --- E
    D --- E
    E --- F
    F --- G
    F --- H
    G --> A
    H -->|true| C
    H -->|false| D
```


```mermaid
flowchart TD
    A["Start"]
    B["User Management"]
    C["Add User Information"]
    D["User Information Parameter Setting"]
    E["Judge Parameter Validity"]
    F["Save User Information."]
    G["Query User Information"]
    H["Enter Query Keywords"]
    I["Return Query Results"]
    J["End"]
    K["view User Information"]
    L["Modify User Information"]
    M["Delete/Activate User"]
    N["View Detailed Information"]
    O["Modify User Information Parameters"]
    P["Judge Validity of Modified Parameters"]
    Q["Save User Information"]
    R["Delete/Activate User Successful"]

    A --> B
    B --> C
    B --> G
    B --> K
    B --> L
    B --> M
    C --> D
    D --> E
    E --> F
    E -->|NO| D
    F --> J
    G --> H
    H --> I
    I --> J
    K --> N
    L --> O
    O --> P
    P --> Q
    M --> R
    Q --> J
    R --> J
```


```mermaid
flowchart TD
    A["browser"]
    B["Co. 7L proxy"]
    C["JS"]
    D["nginx"]
    E["cloud store"]
    F["cloud transcode"]
    G["qpidd mq"]
    H["queue"]
    I["listener"]
    J["message"]
    K["mybatis"]
    L["mysql"]
    M["web resin"]
    N["guava"]
    O["Spring mvc"]
    P["UTF8 encoder"]
    Q["logback listener"]
    R["dispatcher servlet"]
    S["handler"]
    T["controller"]
    U["check"]
    V["cloud store"]
    W["http client"]
    X["vrs"]
    Y["dubbo"]
    Z["service"]
    AA["couchbase"]
    AB["mybatis"]
    AC["mysql"]

    A -->|https| B
    A --> C
    B --> D
    C --> E
    D --> M
    E --> F
    F --> G
    G -->|direct| H
    H --> I
    I --> J
    J --> K
    K --> L
    M --> N
    M --> O
    M --> P
    M --> Q
    O --> R
    R --> S
    S -->|Model And View| R
    S --> T
    T --> V
    T --> U
    T --> W
    W --> X
    X --> Y
    Y --> Z
    Z --> AA
    AA --> AB
    AB --> AC
```


```mermaid
flowchart TD
    A["back bone"]
    B["$$X_{2}\quad X_{1}\quad X_{0}$$"]
    C@{shape: text, label: "$$P_{3}$$"}
    D["Concat+convx5"]
    E@{shape: text, label: "$$P_{3}$$-downsample"}
    F@{shape: text, label: "Yolo head ($$P_{3}$$)"}
    G@{shape: text, label: "$$P_{4} $$"}
    H["Concat+Convx5"]
    I["$$P_{4}$$-upsample."]
    J["Concat+Convx5"]
    K@{shape: text, label: "Yolo head ($$P_{4}$$)"}
    L@{shape: text, label: "$$P_{5}$$"}
    M@{shape: text, label: "Convx3"}
    N["SPP"]
    O@{shape: text, label: "Convx3"}
    P@{shape: text, label: "$$P_{5}$$-upsample."}
    Q["Concat+convx5"]
    R@{shape: text, label: "Yolo head ($$P_{5}$$)"}

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    B --> G
    G --> H
    H -->|1| I
    I --> D
    H --> J
    J --> K
    J --> Q
    B --> L
    L --> M
    M --> N
    N --> O
    O --> P
    O --> Q
    P --> H
    Q --> R
```


```mermaid
flowchart TD
    A(["Arrive at the station"])
    B["Information Inquiry"]
    C{"Purchase, Collect, Refund or Change Ticket"}
    D["Purchase, Collect, Refund or Change Ticket"]
    E["Verification & Security check for Entry"]
    F["Waiting"]
    G["Commercial Operations Catering & Luggage Storage"]
    H["Ticket Checking & Boarding"]
    I["Alight & Walk"]
    J["Ticket Checking & Exit"]

    A --> B
    B --> C
    C -->|Yes| D
    C -->|No| E
    D --> E
    E --> F
    F --> H
    F --- G
    H --> I
    I --> J
    I -->|Transfer| F
```


```mermaid
flowchart TD
    A@{shape: text, label: "Main"}
    B@{ shape: fork, label: "Fork or Join" }
    C@{ shape: fork, label: "Fork or Join" }
    D@{shape: text, label: "Elevator"}
    E{"need to wait?"}
    F["wait"]
    G["deal with requests"]
    H{"is over?"}
    I@{shape: text, label: " "}
    J@{ shape: fork, label: "Fork or Join" }
    K@{shape: text, label: "Input"}
    L["add new requests to queue"]
    M{"more requests"}
    N@{shape: text, label: " "}
    O@{shape: text, label: " "}

    A -.- B
    B -->|Start Elevator| C
    B -->|Start Input| J
    B -.-|Thread Dead| O
    C --> E
    C --> G
    C --> H
    C -.-|Thread Dead| I
    D -.- C
    E -->|Yes| F
    E -->|No| C
    F -->|Notified| C
    H -->|Yes| C
    H -->|No| C
    J --> L
    J --> M
    J -.-|Thread Dead| N
    K -.- J
    L --> J
    M -->|Yes| J
    M -->|No| J
```


```mermaid
flowchart TD
    A["Raw and auxiliary materials procuremet"]
    B["Acceptance inspection"]
    C["Return"]
    D["Rough processing"]
    E["Raw and auxiliary materials storage"]
    F["Cutting and portioning"]
    G["Heating and cooking"]
    H["Leftover food storage"]
    I["Rework for non-conforming products"]
    J["Quality inspection"]
    K["Food sample retention"]
    L["Plating"]
    M["Serving"]
    N["Tableware"]
    O["Washing"]
    P["Disinfection"]
    Q["Tableware Sanitization and Storage"]

    A --> B
    B -->|Unqualified| C
    B -->|Qualified| D
    B --> E
    D --> F
    E --> D
    E -->|Auxiliary materials| G
    F --> G
    H --> G
    I --> G
    G --> J
    J --> K
    J --> I
    J --> L
    L --> M
    N --> O
    O --> P
    P --> Q
    Q --> L
```


```mermaid
flowchart TD
    A["Start"]
    B["User browses the homepage"]
    C["Purchase goods"]
    D["Is the user logged in?"]
    E["Is the user registered?"]
    F["Enter the registration page"]
    G["Is the registration information correct?"]
    H["Registration failed"]
    I["Registration successful"]
    J["Enter the Login page"]
    K["Is the login information correct"]
    L["Return to the login page"]
    M["Re-enter the homepage"]
    N["Select and purchase goods"]
    O["Enter the shopping cart page"]
    P["Modify product quantify"]
    Q["Checkout"]
    R["Delete product"]
    S["Checkout"]
    T["Purchase successful"]
    U["Return to the homepage"]
    V["Exit the system"]
    W["End"]

    A --> B
    B --> C
    C --> D
    D --> O
    D --> E
    E -->|Yes| J
    E --> F
    F --> G
    G -->|No| H
    G --> I
    H --> F
    I --> J
    J --> K
    K -->|No| L
    K --> M
    L --> F
    M --> N
    N --> O
    O --> P
    O --> Q
    O --> R
    P --> S
    S --> T
    Q --> T
    R --> V
    T --> U
    T --> V
    U --> W
    V --> W
```


### JCF Map相关

```mermaid
flowchart TD
    A["《interface》Map"]
    B["《interface》SortedMap"]
    C["AbstractMap"]
    D["HashTable"]
    E["TreeMap"]
    F["Dictionary"]
    G["HashMap"]
    H["WeakHashMap"]
    I["IdentityHashMap"]
    J["LinkedHashMap"]

    B --> A
    E -.-> B
    E --> C
    C -.-> A
    G --> C
    J --> G
    H --> C
    I --> C
    D -.-> A
    D --> F
```


```mermaid
flowchart TD
    A(("Start"))
    B["数组A, 轮数 <- 1, 下标 <- 0"]
    C{"轮数 <= A[length]"}
    D["print A"]
    E(("End"))
    F["minA <- A[下标]"]
    G["Index <- 下标 + 1"]
    H{"0 < Index < A[length]"}
    I{"minA < A[Index]"}
    J["minA <- A[Index]"]
    K["Index <- Index + 1"]
    L["交换 minA与A[下标] 的位置"]
    M["下标 <- 下标 + 1"]
    N["轮数 <- 轮数 + 1"]

    A --> B
    B --> C
    C -->|是| F
    C -->|否| D
    D --> E
    F --> G
    G --> H
    H -->|是| I
    H --> L
    I -->|是| K
    I -->|否| J
    J --> K
    K --> H
    L --> M
    M --> N
    N --> C
```


```mermaid
flowchart TD
    A["Entry (system_call)"]
    B["SAVE ALL"]
    C{"Cmpl $(nr_syscalls), %eax"}
    D["Syscall_badsys"]
    E["call *sys_call_table(, %eax, 4)"]
    F["movl %eax, PT_EAX(%esp)"]
    G{"Syscall exit"}
    H["syscall_exit_work"]
    I["work_pending"]
    J["work_resched"]
    K["restore_all"]
    L["iret"]

    A --> B
    B --> C
    C -->|no| D
    C -->|yes| E
    E --> F
    F --> G
    G -->|yes| H
    G -->|no| K
    H --> I
    I --> J
    J --> K
    K --> L
```


```mermaid
flowchart TD
    A["General Manager"]
    B["Finance Director"]
    C["Finance Department"]
    D["Administration Department"]
    E["Accountant"]
    F["cashier"]
    G["Receptionist"]
    H["clerk"]
    I["Marketing Director"]
    J["Production Department"]
    K["Sales & Marketing Department"]
    L["Engineer"]
    M["Technician"]
    N["Salesperson"]
    O["After-sales Service"]

    A --> B
    A --> I
    B --> C
    B --> D
    C --> E
    C --> F
    D --> G
    D --> H
    I --> J
    I --> K
    J --> L
    J --> M
    K --> N
    K --> O
```


```mermaid
flowchart TD
    A@{shape: text, label: "Image $$ \\qquad 10\\times 3\\times 227\\times 227 $$"}
    B["conv 1 $$ \qquad 96\times 11\times 11,s4 $$"]
    C["Pooling Switches 1$$ \qquad ma\times 3\times 3, S2 $$"]
    D["Slice Half 1 "]
    E["Switches 1$$ \qquad 10\times 96\times 27\times 27 $$"]
    F["LRN 1"]
    G["conv 2 $$ \qquad 256\times 5\times 5,p2,g2 $$"]
    H["Pooling Switches 2$$ \qquad ma\times 3\times 3, S2 $$"]
    I["Slice Half "]
    J["switches 2 $$ \qquad 10\times 256\times 13\times 13 $$"]
    K["LRN 2"]
    L["conv 3$$ \qquad 384\times 3\times 3, p1 $$"]
    M["conv 4$$ \qquad 384\times 3\times 3, p1,g2 $$"]
    N["conv 5$$ \qquad 256\times 3\times 3,p1,g2 $$"]
    O["Pod Switches 5$$ \qquad ma\times 3\times 3, S2 $$"]
    P["Slice Half 5"]
    Q["switches 5$$ \qquad 10\times 256\times 6\times 6 $$"]
    R["pooled $$ \qquad 10\times 256\times 6\times 6 $$"]
    S["fc 6<br>relm 6<br>drop 6<br>fc 7<br>reln 7<br>drop 7<br>tc 8<br>prob"]

    A --> B
    B -->|$$ 10\times 96\times 55\times 55\qquad $$ reln 1| C
    C -->|$$ 20\times 96\times 27\times 27 $$| D
    D --> E
    D -->|$$ 10\times 96\times 27\times 27 $$| F
    F -->|$$ 10\times 96\times 27\times 27 $$| G
    G -->|$$ 10\times 256\times 27\times 27\qquad $$ reln 2| H
    H -->|$$ 20\times 256\times 13\times B $$| I
    I --> J
    I -->|$$ 10\times 256\times 13\times 13 $$| K
    K -->|$$ 10\times 256\times 13\times 13 $$| L
    L -->|$$ 10\times 384\times 13\times 13\qquad $$ reln 3| M
    M -->|$$ 10\times 384\times 13\times 13\qquad $$ reln 4| N
    N -->|$$ 10\times 256\times 13\times 13\qquad $$ reln| O
    O -->|$$ 20\times 256\times 6\times 6 $$| P
    P --> Q
    P --> R
    P --> S
```


```mermaid
flowchart TD
    A@{shape: text, label: "Local coordinate"}
    subgraph id1 [" "]
        B["Model transform"]
        C["View transform"]
        D["Project transform"]
    end
    E@{shape: text, label: "Vertex Shader"}
    F["Perspective divide"]
    G["Viewport transform"]
    H@{shape: text, label: "Vertex Post-processing"}
    I@{shape: text, label: "device coordinate / Screen Coordinate"}

    A --> B
    B -->|World coordinate| C
    C -->|View coordinate| D
    id1 --- E
    D -->|Project coordinate| F
    F -->|Clip coordinate| G
    H --- F
    H --- G
    G --> I
```


```mermaid
flowchart TD
    A["Start"]
    B["System Initialization"]
    C["IR Detection Module Sensing"]
    D["IR Signal Detected?"]
    E["LED Light Activated"]
    F["Camera Captures Video"]
    G["Buzzer Alarm Triggered"]
    H["App Displays Live Feed"]
    I["IR Detection Module Re-check."]
    J["IR Signal Detected?"]
    K["End."]

    A --> B
    B --> C
    C --> D
    D -->|No| C
    D -->|Yes| E
    D -->|Yes| F
    E --> G
    F --> H
    G --> I
    H --> I
    I --> J
    I -->|Yes| E
    I -->|Yes| F
    J --> K
```


### FC-CLIP

```mermaid
flowchart TD
    A@{shape: text, label: "I"}
    B["CLIP"]
    C[" "]
    D["pixel decoder"]
    E@{shape: text, label: "cutputs"}
    F@{shape: text, label: "分类结果"}
    G@{shape: text, label: "抢码结果."}
    H["pred logits.<br>pred masks"]
    subgraph ide1["training"]
        I@{shape: text, label: "原始 labels"}
        J@{shape: text, label: "原始 masks"}
        K["target"]
        L@{shape: text, label: "losses."}
    end
    subgraph ide2["(train) text classifier"]
        M@{shape: text, label: "训练前一次性生成"}
        N@{shape: text, label: "dataset class names"}
        O["CLIP"]
    end
    P["Mask Pooling"]
    Q["get classification logits"]
    R@{shape: text, label: "out vocab cls results"}
    S[" "]
    T@{shape: text, label: " "}

    A --> B
    B -->|Feature| C
    C --> D
    C -->|CLIP Feature| P
    D --> E
    E --- F
    E --- G
    E -->|pred Masks.| P
    E --> L
    H -->|in. vocab cls results| S
    K --- I
    K --- J
    K -->|Criterion（匈牙利匹配）| L
    T
    N -->|train/test| O
    O -->|合并入Feature中 <br>train text classifier| C
    O -->|test text classifier| Q
    P --> Q
    Q --> R
    R --> S
    S --> T
```


```mermaid
flowchart TD
    A["Temperature Control logic"]
    B["Temperature Detection"]
    C["Cooling Control"]
    D["Real-time Temperature > Upper Temperature limit"]
    E["Cooling Motor Stop"]
    F["Real-time Temperature < Upper Temperature limit"]
    G["Cooling motor Start"]
    H["End"]
    I["Heating Control"]
    J["Real-time Temperature < Lower Temperature Limit"]
    K["Electric Heating Start"]
    L["Real-time Temperature > Lower Temperature Limit"]
    M["Electric Heating Stop"]
    N["End"]

    A --> B
    B --> C
    B --> I
    C --> D
    D --> E
    E --> F
    F --> G
    G --> H
    I --> J
    J --> K
    K --> L
    L --> M
    M --> N
```


```mermaid
flowchart TD
    A["NRT Caching Directory"]
    B["Tracking Directory Wrapper"]
    C["Filter Directory"]
    D["Rate Limited Directory Wrapper"]
    E["Directory<br>+ file Exist()<br>+ file Length()<br>+ create Output()<br>+ sync()<br>+ open Input()<br>+ make Lock()<br>+ clear Lock()<br>+ close()<br>+ set Lock Factory()<br>+ get Lock ID()<br>+ copy()<br>+ ensure Open()"]
    F["File Switch Directory"]
    G["Base Directory"]
    H["Compound FileDirectory"]
    I["RAM Directory"]
    J["FS Directory"]
    K["SimpleFS Directory"]
    L["MMap Directory"]
    M["NI OFS Directory"]

    C --> A
    C --> B
    C --> D
    E --> C
    E --> G
    G --> F
    G --> H
    G --> I
    G --> J
    J --> K
    J --> L
    J --> M
```


```mermaid
flowchart TD
    A@{ shape: f-circ, label: "Connect" }
    B["Login Status"]
    C{" "}
    D@{ shape: f-circ, label: "Connect" }
    E["Enter System"]
    F["Browse Book Information"]
    G{" "}
    H["Exit System"]
    I["Record Book Purchase Information"]
    J["Place Order"]
    K{" "}
    L["Await Restock"]
    M["Restock"]
    N["Process Transaction"]
    O["Exit System"]
    P@{ shape: f-circ, label: "Connect" }

    A --> B
    B --> C
    C -->|Login Successful| E
    C ---|Login Failed| D
    E --> F
    F --> G
    G -->|No Desired Book Found| H
    G -->|Desired Book Found| I
    I --> J
    J --> K
    K -->|In Stock| N
    K -->|Out of Stock| L
    L --> M
    M --> N
    N --> O
    O --> P
```


```mermaid
flowchart TD
    A[/"读入向量x,y,xt,number"/]
    B["n=length(x)"]
    C{"length(y)≠n+2"}
    D["出错返回<br>"y应比x多两个数据""]
    E["m=length(xt)<br>A=zeros(n)"]
    F["i=1"]
    G{"i≤n"}
    H["A(i,i)=2"]
    I["i=i+1"]
    J["h=diff(x)<br>df=diff(y(2:n+1))./h"]
    K["i=2"]
    L{"i≤n-1"}
    M@{shape: text, label: " "}
    N@{shape: text, label: " "}
    O@{shape: text, label: " "}

    A --> B
    B --> C
    C -->|Y| D
    C -->|N| E
    E --> F
    F --- G
    G -->|Y| H
    G -->|N| J
    H --> I
    I --> G
    J --> K
    K --> L
    L ---|Y| M
    L -->|N| N
    O --> L
```


```mermaid
flowchart TD
    A["Restaurant Workflow Diagram"]
    B["Open the Store"]
    C["Hand Washing 8 Alcohol Sanitization"]
    D["Check Equipment Operation"]
    E["Ingredient Sorting"]
    F["Ingredient Sorting"]
    G["Ingredient Washing"]
    H["Food Cooking"]
    I["Close the Store at Night"]
    J["Daily Inventory Write-off 8 Waste Separation"]
    K["Utensil Sanitization"]
    L["Raw Material Procurement."]
    M["Transportation"]
    N["Segregated Storage"]
    O["Refrigerator Storage"]
    P["Room-Temperature storage"]

    A --> B
    A --> I
    A --> L
    B --> C
    C --> D
    C --> E
    E --> F
    E --> G
    E --> H
    I --> J
    J --> K
    L --> M
    M --> N
    N --> O
    N --> P
```


### Rectangular box plot

| Three separete samples | Observed values-最小值 | Observed values-Q1 | Observed values-中位数 | Observed values-Q3 | Observed values-最大值 |
| --- | --- | --- | --- | --- | --- |
| x | -2.2 | -0.6 | 0 | 0.8 | 2.1 |
| x2 | -4.6 | -1.3 | 0 | 1.4 | 3.8 |
| x3 | -6.6 | -1.3 | 0.4 | 2.2 | 6.5 |


### Notched box plot
| Three separete samples | Observed values-最小值 | Observed values-Q1 | Observed values-中位数 | Observed values-Q3 | Observed values-最大值 |
| --- | --- | --- | --- | --- | --- |
| x | -2.2 | -0.7 | 0.0 | 0.7 | 2.1 |
| x2 | -4.6 | -1.3 | 0.0 | 1.3 | 3.7 |
| x3 | -6.6 | -1.3 | 0.3 | 2.2 | 6.5 |


| Tumor Status | Intergrin Beta 1-最小值 | Intergrin Beta 1-Q1 | Intergrin Beta 1-中位数 | Intergrin Beta 1-Q3 | Intergrin Beta 1-最大值 |
| --- | --- | --- | --- | --- | --- |
| Non Metastasis | 2 | 8 | 30 | 51 | 91 |
| Metastasis | 2 | 13 | 46 | 71 | 88 |


| Histologic grade | The expression of CDK5R1 Log₂(FPKM+1)-最小值 | The expression of CDK5R1 Log₂(FPKM+1)-Q1 | The expression of CDK5R1 Log₂(FPKM+1)-中位数 | The expression of CDK5R1 Log₂(FPKM+1)-Q3 | The expression of CDK5R1 Log₂(FPKM+1)-最大值 |
| --- | --- | --- | --- | --- | --- |
| G1&G2 | 0.3 | 2.5 | 4.5 | 6.7 | 12.8 |
| G3&G4 | 0.4 | 3.1 | 5.8 | 8.9 | 15.8 |


#### BAL
|  | Propidium iodide lymphocytes (%)-最小值 | Propidium iodide lymphocytes (%)-Q1 | Propidium iodide lymphocytes (%)-中位数 | Propidium iodide lymphocytes (%)-Q3 | Propidium iodide lymphocytes (%)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Baseline | 0.0 | 0.2 | 0.3 | 0.6 | 1.15 |
| Intraoperatory | 0.1 | 0.2 | 0.4 | 0.5 | 0.8 |
| 2 hs postoperative |  | 0.1 | 0.2 | 0.4 | 0.8 |

#### TIVA
|  | Propidium iodide lymphocytes (%)-最小值 | Propidium iodide lymphocytes (%)-Q1 | Propidium iodide lymphocytes (%)-中位数 | Propidium iodide lymphocytes (%)-Q3 | Propidium iodide lymphocytes (%)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Baseline | 0.1 | 0.2 | 0.3 | 0.45 | 0.7 |
| Intraoperatory | 0.1 | 0.2 | 0.3 | 0.4 | 0.7 |
| 2 hs postoperative | 0.1 | 0.22 | 0.3 | 0.4 | 0.5 |


### VIQ Scores for males & females
#### Figure 2(b): Teaching episode two
|  | VIQ Scores-最小值 | VIQ Scores-Q1 | VIQ Scores-中位数 | VIQ Scores-Q3 | VIQ Scores-最大值 |
| --- | --- | --- | --- | --- | --- |
| males | 78 | 95 | 110 | 144 | 150 |
| females | 72 | 90 | 114 | 128 | 135 |


### Wind speed Distribution of Different City Type

| City Type | Wind speed (Km/h)-最小值 | Wind speed (Km/h)-Q1 | Wind speed (Km/h)-中位数 | Wind speed (Km/h)-Q3 | Wind speed (Km/h)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Coastal Cities | 5.0 | 7.2 | 8.0 | 9.4 | 11.5 |
| Inland Cities | 0.4 | 1.3 | 2.0 | 3.5 | 4.0 |


### Exam Scores by Difficulty Level

| Level | Exam Scores-Min | Exam Scores-Q1 | Exam Scores-Median | Exam Scores-Q3 | Exam Scores-Max |
| --- | --- | --- | --- | --- | --- |
| Level 1 | 10 | 18 | 25 | 34 | 42 |
| Level 2 | 17 | 24 | 30 | 40 | 48 |
| Level 3 | 15 | 22 | 34 | 39 | 45 |
| Level 4 | 30 | 37 | 45 | 49 | 53 |


### Flight Delay Time by Airline

| Airline | Delay Time (minutes)-最小值 | Delay Time (minutes)-Q1 | Delay Time (minutes)-中位数 | Delay Time (minutes)-Q3 | Delay Time (minutes)-最大值 |
| --- | --- | --- | --- | --- | --- |
| AirlineA | 0.4 | 1.3 | 2.0 | 3.0 | 4.6 |
| AirlineB | 1.0 | 2.0 | 2.8 | 4.2 | 5.0 |
| AirlineC | 2.0 | 3.0 | 4.3 | 5.1 | 6.5 |
| AirlineD | 1.0 | 2.0 | 2.7 | 4.0 | 5.5 |


### Game Download Size by Genre

| Genre | Download Size (MB)-最小值 | Download Size (MB)-Q1 | Download Size (MB)-中位数 | Download Size (MB)-Q3 | Download Size (MB)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Genre1 | 0.5 | 1.0 | 2.0 | 3.0 | 3.9 |
| Genre2 | 1.0 | 2.0 | 3.0 | 3.4 | 4.2 |


| Treatment method | Charge in Body Weight (lbs)-Min | Charge in Body Weight (lbs)-Q1 | Charge in Body Weight (lbs)-Median | Charge in Body Weight (lbs)-Q3 | Charge in Body Weight (lbs)-Max |

| --- | --- | --- | --- | --- | --- |
| F-T | -7.5 | 2.5 | 8.0 | 11.0 | 22.0 |
| Cont | -15 | -7.0 | 0 | 4.0 | 15.0 |
| CBT | -8.0 | -2.0 | 2.0 | 4.0 | 7.0 |


### Plant Growth Height under Different Light Intensity

|  | Plant Growth Height (cm)-最小值 | Plant Growth Height (cm)-Q1 | Plant Growth Height (cm)-中位数 | Plant Growth Height (cm)-Q3 | Plant Growth Height (cm)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Low  | 0.4 | 0.5 | 0.7 | 0.8 | 1.03 |
| Medium | 0.7 | 0.9 | 1.1 | 1.3 | 1.5 |
| High | 1.1 | 1.35 | 1.7 | 2.0 | 2.2 |


### Buffering Time (Seconds)

|  | Battering Time (Seconds)-最小值 | Battering Time (Seconds)-Q1 | Battering Time (Seconds)-中位数 | Battering Time (Seconds)-Q3 | Battering Time (Seconds)-最大值 |
| --- | --- | --- | --- | --- | --- |
| 180P | 20 | 28 | 36 | 50 | 56 |
| 720P | 14 | 20 | 30 | 39 | 48 |
| 480P | 10 | 16 | 21 | 32 | 41 |
| 360P | 3 | 7 | 12 | 18 | 25 |


### Delivery Time by Platform

| Platform | Deivery Time cdagv-最小值 | Deivery Time cdagv-Q1 | Deivery Time cdagv-中位数 | Deivery Time cdagv-Q3 | Deivery Time cdagv-最大值 |
| --- | --- | --- | --- | --- | --- |
| Platform A | 3 | 6 | 8 | 10 | 14 |
| Platform B | 4 | 6 | 9 | 12 | 15 |
| Platform C | 5 | 8 | 11 | 13 | 17 |


### MPG Distribution by Auto Type

| Auto Type | Miles per Gallon-最小值 | Miles per Gallon-Q1 | Miles per Gallon-中位数 | Miles per Gallon-Q3 | Miles per Gallon-最大值 |
| --- | --- | --- | --- | --- | --- |
| auto.4 | 21 | 22 | 23 | 24 | 25 |
| Standard.4 | 22 | 24 | 29 | 33 | 37 |
| auto.6 | 16 | 17 | 16 | 23 | 25 |
| standard.6 | 21 | 22 | 23 | 25 | 25 |


| Sex | Operation Time-最小值 | Operation Time-Q1 | Operation Time-中位数 | Operation Time-Q3 | Operation Time-最大值 |
| --- | --- | --- | --- | --- | --- | --- |
| Female | 45 | 75 | 100 | 130 | 160 |
| Male | 50 | 75 | 110 | 150 | 200 |


### Noise Level in Different Urban Areas

| Urban Areas | Noise Level (dB)-最小值 | Noise Level (dB)-Q1 | Noise Level (dB)-中位数 | Noise Level (dB)-Q3 | Noise Level (dB)-最大值 |
| --- | --- | --- | --- | --- | --- |
| area A | 30 | 35 | 40 | 48 | 52 |
| area B | 20 | 28 | 33 | 40 | 48 |
| area C | 32 | 38 | 45 | 50 | 54 |
| area D | 7 | 15 | 22 | 30 | 38 |
| area E | 15 | 21 | 28 | 37 | 42 |


### Baking Time of Different Pastry Types

| Pastry Types | Baking Time (minutes)-最小值 | Baking Time (minutes)-Q1 | Baking Time (minutes)-中位数 | Baking Time (minutes)-Q3 | Baking Time (minutes)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Cake | 7 | 9 | 12 | 14 | 17 |
| Crookie | 1 | 2 | 5 | 7 | 10 |
| Bread | 5 | 6 | 9 | 13 | 15 |
| Pie | 7 | 8 | 10 | 14 | 16 |


|  | Teaching Evaluation Score-最小值 | Teaching Evaluation Score-Q1 | Teaching Evaluation Score-中位数 | Teaching Evaluation Score-Q2 | Teaching Evaluation Score-最大值 |
| --- | --- | --- | --- | --- | --- |
| Male | 3.25 | 4.12 | 4.46 | 4.91 | 5.26 |
| Female | 3.36 | 4.21 | 4.41 | 4.81 | 5.24 |


### Gym Membership Fees by City Scale

| City Scale | Monthly Membership Fee (S)-最小值 | Monthly Membership Fee (S)-Q1 | Monthly Membership Fee (S)-中位数 | Monthly Membership Fee (S)-Q3 | Monthly Membership Fee (S)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Small City | 0.5 | 1.0 | 2.0 | 3.0 | 4.0 |
| medium City | 1.2 | 2.1 | 3.4 | 4.3 | 5.3 |
| large City | 1.3 | 2.3 | 4.5 | 5.4 | 6.0 |


### Time to Solve Puzzles by Difficulty

| Difficulty Levels | Time (minutes)-最小值 | Time (minutes)-Q1 | Time (minutes)-中位数 | Time (minutes)-Q3 | Time (minutes)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Easy | 4 | 7 | 9 | 14 | 17 |
| Medium | 3 | 5 | 8 | 12.5 | 15 |
| Hard | 4.5 | 8 | 14 | 18 | 22 |


### Water Consumption of Household Appliances

|  | Water(L/day)-Min | Water(L/day)-Q1 | Water(L/day)-Median | Water(L/day)-Q3 | Water(L/day)-Max |
| --- | --- | --- | --- | --- | --- |
| Refrigerator | 15 | 20 | 25 | 35 | 40 |
| Washing Machine | 10 | 20 | 25 | 35 | 40 |
| Dishwasher | 5 | 10 | 15 | 20 | 25 |
| Air Conditioner | 10 | 15 | 20 | 25 | 30 |


|  | PRR71 relative expression-最小值 | PRR71 relative expression-Q1 | PRR71 relative expression-中位数 | PRR71 relative expression-Q3 | PRR71 relative expression-最大值 |
| --- | --- | --- | --- | --- | --- |
| Tumor | 10 | 20 | 42 | 60 | 100 |
| Normal | 10 | 12 | 14 | 20 | 30 |


### Miles per Gallon by Vehicle Origin

| Country of Origin | Miles per Gallon (MPG)-最小值 | Miles per Gallon (MPG)-Q1 | Miles per Gallon (MPG)-中位数 | Miles per Gallon (MPG)-Q3 | Miles per Gallon (MPG)-最大值 |
| --- | --- | --- | --- | --- | --- |
| USA | 9 | 16 | 20 | 27 | 40 |
| France | 20 | 22 | 25 | 27 | 30 |
| Japan | 20 | 31 | 34 | 38 | 42 |
| Germany | 19 | 24 | 27 | 33 | 38 |


### Laundry Drying Time by Fabric
|  |  |
| --- | --- |
| Cotton | 25 |
| Linen | 50 |
| Wool | 75 |
| Synthetic | 100 |
这一题在半夜因有事暂时先提交了，打算白天回扫修改，请勿质检这一题，Thanks~


| Age Group | Diastolic Blaood pressure-最小值 | Diastolic Blaood pressure-Q1 | Diastolic Blaood pressure-中位数 | Diastolic Blaood pressure-Q3 | Diastolic Blaood pressure-最大值 |
| --- | --- | --- | --- | --- | --- |
| late 20s | 72 | 77 | 80 | 83 | 87 |
| early 30s | 75 | 85 | 87 | 90 | 93 |
| late 40s+ | 70 | 77 | 80 | 83 | 85 |


### Car Milleage Data

| Number of Cylinders | Miles per Gallon-最小值 | Miles per Gallon-Q1 | Miles per Gallon-中位数 | Miles per Gallon-Q3 | Miles per Gallon-最大值 |
| --- | --- | --- | --- | --- | --- |
| 4 | 21 | 23 | 26 | 31 | 34 |
| 6 | 18 | 19 | 20 | 22 | 23 |
| 8 | 12 | 14 | 15 | 17 | 21 |


### Download speed of Different ISPs

|  | Download speed (Mbps)-最小值 | Download speed (Mbps)-Q1 | Download speed (Mbps)-中位数 | Download speed (Mbps)-Q3 | Download speed (Mbps)-最大值 |
| --- | --- | --- | --- | --- | --- |
| ISPA | 5 | 13 | 20 | 28 | 36 |
| ISPB | 13 | 22 | 33 | 43 | 54 |
| ISPC | 4 | 14 | 25 | 35 | 45 |


### Coffee Price in different shop Brand

| Shop Brand | Coffee price (yuan)-最小值 | Coffee price (yuan)-Q1 | Coffee price (yuan)-中位数 | Coffee price (yuan)-Q3 | Coffee price (yuan)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Brand 1 | 2.0 | 4.0 | 6.5 | 8.2 | 11.5 |
| Brand 2 | 5.2 | 8.0 | 9.7 | 12.0 | 14.5 |


### Temperature Variation in Different Seasons

| Season | Temperature (℃)-最小值 | Temperature (℃)-Q1 | Temperature (℃)-中位数 | Temperature (℃)-Q3 | Temperature (℃)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Spring | -3 | 4 | 8 | 16 | 23 |
| Summer | 2 | 8 | 13 | 21 | 26 |
| Autumn | 1 | 5 | 9 | 17 | 21 |
| Winter | -11 | -8 | -4 | 1 | 6 |


### Pencil Writing Durability by Hardness Grade

| Hardness Grade | Durability Store-最小值 | Durability Store-Q1 | Durability Store-中位数 | Durability Store-Q3 | Durability Store-最大值 |
| --- | --- | --- | --- | --- | --- |
| 2B | 7.5 | 10 | 13 | 17 | 19 |
| HB | 5 | 7 | 10 | 14 | 12 |
| 2H | 9 | 11 | 16 | 18 | 19.5 |


### Signal Strength of Smart Watches

|  | Signal Strength (dBm)-最小值 | Signal Strength (dBm)-Q1 | Signal Strength (dBm)-中位数 | Signal Strength (dBm)-Q3 | Signal Strength (dBm)-最大值 |
| --- | --- | --- | --- | --- | --- |
| Watch A | -73 | -62 | -48 | -33 | -23 |
| Watch B | -84 | -80 | -64 | -48 | -34 |
| Watch C | -70 | -60 | -30 | -20 | -10 |


<pFig>柱状图与折线图1</pFig><quad>(0,0),(0,0)</quad>
### Degree of COVID-19 containment v UK composite PMI output index

|  | IHS Markit COVID-19 containment index-More "locked down" | IHS Markit/CIPS composite flash PMI (Output Index)-UK PMI |
| --- | --- | --- |
| Jan-19 |  | 50 |
| Jan-20 |  | 53 |
| Jan-21 | 86 | 41 |


### The total size of domestic bond index funds
|  | the size of domestic bond index funds (100 million RMB), left axis | the size of domestic bond index funds which used ChinaBond Indices as their performance benchmarks (100 million RMB), left axis | the number of domestic bond index funds, right axis | the number of bond index funds which used ChinaBond Indices as their performance benchmarks, right axis |
| --- | --- | --- | --- | --- |
| Jan/18 | 208 | 35 | 35 | 13 |
| Aug/18 | 300 | 35 | 38 | 15 |
| mar/19 | 1630 | 1430 | 59 | 35 |
| Oct/19 | 2430 | 2170 | 91 | 61 |
| May/20 | 4170 | 3600 | 118 | 96 |
| Dec/20 | 4350 | 3700 | 160 | 123 |
| Jul/21 | 3300 | 2770 | 158 | 127 |
| Feb/22 | 4260 | 3480 | 171 | 136 |
| Sep/22 | 4000 | 3300 | 169 | 137 |
| Apr/23 | 3800 | 3170 | 171 | 140 |
| Nov/23 | 5220 | 4170 | 176 | 144 |
| Jun/24 | 9270 | 7570 | 212 | 174 |


### Foreigners have sold US stocks for 5 straight months, with 12-month total in May of minus $181.1bn
#### hedgopia.com
#### Source:Treasury,Yahoo
|  | 12-month rolling total of net foreign purchases of US equities ($bn) | S&P 500 Large Cap Index |
| --- | --- | --- |
| Jul-98 | 47 | 1240 |
| Jul-01 | 110 | 1250 |
| Jul-04 | 20 | 1250 |
| Jul-07 | 215 | 1550 |
| Jul-10 | 120 | 1245 |
| Jul-13 | 40 | 1700 |
| Jul-16 | -130 | 2040 |
| Jul-19 | 150 | 2780 |
| Jul-22 | -95 | 4600 |


<pFig>柱状图与折线图1</pFig><quad>(0,0),(0,0)</quad>
### Figure 7.1. TV exports in the international marketplace: percentage share of scheduled imported format time and number of titles by exporters to the market, 2003. Source: Television Research Partnership, "Rights of Passage: British Television in the Global Market," UK Trade and Inve 2005, p. 17, figure 10.
|  | Hours | Titles |
| --- | --- | --- |
| UK | 45% | 50% |
| USA | 20% | 19% |
| Netherlands | 15% | 11% |
| Argentina | 7% | 2% |
| France | 5% | 5% |
| Spain | 3% | 1% |
| Australia | 2% | 1% |
| Other | 3% | 13% |


|  | Submissions-Number of Papers | Accepted-Number of Papers | Acceptance Rate |
| --- | --- | --- | --- |
| Metrics | 20 | 8 | 34% |
| Secure and verifiable... | 84 | 28 | 32% |
| Privacy policies | 20 | 6 | 30% |
| Applied cryptography | 186 | 49 | 27% |
| Protocols | 134 | 34 | 26% |
| <none> | 4 | 3 | 25% |
| Hardware and architecture... | 82 | 18 | 24% |
| Information flow | 36 | 8 | 22% |
| Language-based security | 38 | 8 | 21% |
| User studies | 30 | 6 | 20% |
| Software security | 162 | 31 | 19% |
| Web security and privacy | 95 | 16 | 18% |
| Malware | 59 | 7 | 15% |
| Mobile security and privacy | 105 | 14 | 15% |
| Privacy-preserving systems | 106 | 15 | 15% |
| Authentication and... | 90 | 15 | 14% |
| Machine learning | 98 | 13 | 15% |
| Access control | 37 | 4 | 14% |
| Intrusion detection | 44 | 5 | 14% |
| Forensics | 23 | 3 | 14% |
| Network security | 120 | 15 | 13% |
| Distributed systems security | 76 | 10 | 13% |
| Anonymity | 60 | 7 | 12% |
| Censorship-resistance | 12 | 2 | 10% |
| Cloud security | 90 | 9 | 10% |
| Cyber-physical systems... | 80 | 7 | 9% |


### Submissions and Decisions, by Primary Topics
| Subject Area | Orals | Highlights | Posters | Rejected or Withdrawn | Acceptance Rate |
| --- | --- | --- | --- | --- | --- |
| mage and video synthesis and generation |  | 20 | 310 | 990 | 27% |
| 3D from multi-view and sensors |  | 20 | 200 | 625 | 27.5% |
| Multimodal learning |  |  | 140 | 480 | 24.8% |
| Humans: Face, body, pose, gesture, movement |  | 10 | 140 | 450 | 25% |
| Low-level vision |  |  | 100 | 450 | 18% |
| Vision, language, and reasoning |  |  | 150 | 400 | 27% |
| Recognition: Categorization, detection, retrieval |  |  | 90 | 392 | 19.8% |
| Transfer / low-shot/ continual/ long-tail learning|  |  | 70 | 370 | 19% |
| Datasets and evaluation |  |  | 105 | 325 | 27.2% |
| Autonomous driving |  |  | 100 | 300 | 26% |
| Medical and biological vision, cell microscopy |  |  | 70 | 330 | 18.7% |
| Deep learning architectures and techniques|  |  | 50 | 310 | 13.8% |
| Adversarial attack and defense |  |  | 60 | 290 | 20% |
| Segmentation, grouping and shape analysis |  |  | 90 | 260 | 24.8% |
| Vision applications and systems |  |  | 70 | 260 | 20.6% |
| Video: Action and event understanding |  |  | 70 | 230 | 25% |
| 3D from single images |  |  | 105 | 195 | 37.5% |
| Efficient and scalable vision |  |  | 70 | 210 | 22% |
| Transparency, fairness, accountability, privacy and ethics... |  |  | 40 | 220 | 17.5% |
| Computer vision for robotics |  |  | 60 | 160 | 30% |
| Scene analysis and understanding |  |  | 40 | 180 | 22% |
| Representation learning |  |  | 50 | 160 | 22.4% |
| Self-, semi-, meta- and unsupervised learning |  |  | 46 | 160 | 19.8% |
| Computational imaging |  |  | 45 | 150 | 22.5% |
| Video: Low-level analysis, motion, and tracking |  |  | 30 | 120 | 25% |
| Vision + graphics |  |  | 50 | 100 | 32% |
| Photogrammetry and remote sensing |  |  | 28 | 125 | 17.5% |
| Explainable computer vision |  |  | 25 | 125 | 18% |
| Event-based cameras |  |  | 35 | 75 | 28% |
| Embodied vision: Active agents, simulation|  |  | 40 | 70 | 32.7% |
| Computer vision for social good |  |  | 10 | 90 | 22% |
| Biometrics|  |  | 5 | 85 | 17.3% |
| Machine learning (other than deep learning) |  |  | 5 | 80 | 12.3% |
| Document analysis and understanding |  |  | 10 | 60 | 23.7% |
| Physics-based vision and shape-from-X |  |  |  | 50 | 26.8% |
| Optimization methods (other than deep learning) |  |  |  | 36 | 19.2% |


### ZOO Animal Poplulation Tends
|  | 2003-Number of Animals | 2004-Number of Animals | Fu-Number of Animals |
| --- | --- | --- | --- |
| Lions | 4.2 | 3.3 | 12.4 |
| Tigers | 2.3 | 4 | 12.7 |
| Girafes | 3 | 1.5 | 13 |
| Zebras | 4 | 4.3 | 16 |
| Monkeys | 1 | 4 | 14 |
| Elephants | 3 | 2.4 | 13.5 |
| Penguins | 5 | 4 | 15.5 |


### Sales volume and year-on-year growth situation of the zhejiang branch.
|  | Shouli | year-on-year growth |
| --- | --- | --- |
| Hangzhou | 120 | 100% |
| Jinhua | 70 | 45% |
| Huzhou | 40 | 80% |
| Quzhou | 75 | 35% |
| Jiaxing | 20 | -15% |
| Ningbo | 90 | 45% |


### Sales Statistics of Online Tools Network in 2019

| Quarter | Income-Ten thousand yuan | Outcome-Ten thousand yuan | Profit |
| --- | --- | --- | --- |
| The first quarter | 110 | 30 | 85 |
| The second quarter | 115 | 25 | 90 |
| The third quarter | 215 | 47 | 195 |


### Performance comparison

|  | A | B | C |
| --- | --- | --- | --- |
| The first quarter | 7 | 8 | 6 |
| Second Quarter | 5 | 6 | 11 |
| The third quarter | 3 | 3 | 6 |
| Fourth Quarter | 9 | 5 | 9 |


### The effectiveness of sending text messages to wake someone up over the past week
|  | Number of logins-Number of logins | Login activation rate |
| --- | --- | --- |
| October 19th, 2015 | 7k | 21.00% |
| October 20th, 2015 | 48k | 84.00% |
| October 21st, 2015 | 3k | 14.00% |
| October 22nd, 2015 | 9k | 42.00% |
| October 23rd, 2015 | 4k | 15.00% |


### Follow-up curve chart
|  | Numbei of transactions | Daily follow-up count | Actual follow-up total |
| --- | --- | --- | --- |
| 1st day | 4 | 3 | 7 |
| 2nd day | 2 | 5 | 10 |
| 3rd | 5 | 4 | 9 |
| 4th | 1 | 5 | 6 |
| 5th | 4 | 4 | 8 |
| 6th | 3 | 7 | 11 |
| 7th | 3 | 2 | 5 |


### Data comparison analysis chart

|  |  |  |
| --- | --- | --- |
| Month | 30 | 75 |
| Numerical Value | 50 | 100 |
| first | 40 | 115 |
| four | 30 | 87 |


|  |  |
| --- | --- |
| 学习/提炼能力 | 5 |
| 办公技能 | 5 |
| 执行力/IQ | 5 |
| 关联专业知识 | 3 |
| 沟通能力/trade off | 5 |
| 行业融入感/ownership | 5 |
| 技术理解 | 4 |
| AQ/EQ（心态/胸怀） | 4 |
| 对外商务沟通(BD\P3以上) | 2 |
| 行业认知 | 4 |
| 专业设计能力 | 4 |
| 运营数据分析 | 3 |
| 营销与推广策略 | 3 |
| 危机预测与控制/预见性 | 2 |
| 市场/用户的调研与分析 | 4 |
| 用户需求理解/80/20/细节 | 4 |
| 产品规划（版本计划/节奏） | 4 |
| 渠道管理 | 2 |
| 项目管理 | 4 |
| 带人的能力/知识传递 | 3 |


|  |  |
| --- | --- |
| 家具制造业 | 43% |
| 木材加工及木、竹、藤、棕、草制品业 | 33% |
| 金属制品业 | 32% |
| 工艺品及其他制造业 | 32% |
| 文教体育用品制造业 | 30% |
| 黑色金属冶炼及压延加工业 | 30% |
| 有色金属冶炼及压延加工业 | 30% |
| 皮革、毛皮、羽毛（绒）及其制品业 | 29% |
| 纺织服装、鞋、帽制造业 | 28% |
| 农副食品加工业 | 25% |
| 通信设备、计算机及其他电子设备制造业 | 24% |
| 仪器仪表及文化、办公用机械制造业 | 23% |
| 食品制造业 | 22% |
| 橡胶制品业 | 21% |
| 交通运输设备制造业 | 21% |
| 造纸及纸制品业 | 21% |
| 电气机械及器材制造业 | 19% |
| 通用设备制造业 | 18% |
| 专用设备制造业 | 18% |
| 非金属矿物制品业 | 18% |
| 烟草制品业 | 18% |
| 塑料制品业 | 18% |
| 石油加工、炼焦及核燃料加工业 | 18% |
| 化学原料及化学制品制造业 | 18% |
| 医药制造业 | 17% |
| 纺织业 | 17% |
| 化学纤维制造业 | 16% |
| 印刷业和记录媒介的复制 | 16% |
| 饮料制造业 | 15% |


|  |  |
| --- | --- |
| 广东外语外贸大学 | 20.0 |
| 大连外国语大学 | 0.0 |
| 辽宁对外经贸学院 | 0.0 |
| 北京第二外国语学院 | 0.0 |
| 重庆对外经贸学院 | 0.0 |
| 黑龙江外国语学院 | 0.0 |
| 江西外语外贸职业学院 | 0.0 |
| 山东外国语职业技术大学 | 0.0 |
| 广东省外语艺术职业学院 | 0.0 |
| 西安外事学院 | 0.0 |
| 湖南涉外经济学院 | 1.8 |
| 外交学院 | 1.8 |
| 浙江越秀外国语学院 | 4.0 |
| 浙江外国语学院 | 5.0 |
| 上海对外经贸大学 | 7.0 |
| 四川外国语大学 | 7.0 |
| 福州外语外贸学院 | 8.0 |
| 北京外国语大学 | 8.9 |
| 上海外国语大学 | 11.9 |
| 对外经济贸易大学 | 11.9 |
| 西安外国语大学 | 16.0 |


### Business Agility Self-Assessment

|  |  |
| --- | --- |
| TTA: Agile Teams | 4.5 |
| TTA: Built-in Quality | 4.3 |
| TTA: Team of Agile Teams | 5 |
| APD: Customer Centricity and Design Thinking | 2.3 |
| APD: Develop and Cadence; Release on Demand | 4 |
| APD: DevOps and Continuous Delivery Pipeline | 4 |
| ESD: Solution and Systems Engineering | 1 |
| ESD: Coordinating Trains and Suppliers | 2 |
| ESD: Continuously Evolve Live Systems | 2 |
| LPM: Strategy and Investment Fundin | 2 |
| LPM: Agile Portfolio Operations | 2 |
| LPM: Lean Governance | 2 |
| LAL: Mindset and Principles | 2.7 |
| LAL: Leading the Change | 4.4 |
| LAL: Leading by Example | 1.3 |
| OA: Strategy Agility | 3 |
| OA: Lean Business Operations | 1.3 |
| OA: Lean-Thinking People and Agile Teams | 2.4 |
| CLC: Relentless Improvement | 4.7 |
| CLC: Learning Organization | 1.6 |
| CLC: Innovation Culture | 3 |


|  | My First Dataset | My Second Dataset |
| --- | --- | --- |
| Eating | 66 | 29 |
| Drinking | 60 | 49 |
| Sleeping | 90 | 40 |
| Designing | 82 | 20 |
| Coding | 57 | 97 |
| Cycling | 56 | 28 |
| Running | 41 | 100 |


|  |  |
| --- | --- |
| Pancreas | 2.50 |
| Liver | 3.10 |
| Brain | 3.10 |
| Heart | 3.60 |
| Ovary | 3.60 |
| Bone Marrow | 3.61 |
| Stomach | 3.80 |
| Pituitary | 3.85 |
| Adrenal Gland | 3.85 |
| Kidney | 3.95 |
| Breast | 3.95 |
| Uterus | 4.00 |
| Colon | 4.05 |
| Fallopian Tube | 4.06 |
| Nerve | 4.06 |
| Skin | 4.06 |
| Prostate | 4.06 |
| Adipose Tissue | 4.07 |
| Small Intestine | 4.07 |
| Blood Vessel | 4.10 |
| Salivary Gland | 4.10 |
| Esophagus | 4.10 |
| Vagina | 4.20 |
| Cervix Uteri | 4.50 |
| Bladder | 4.80 |
| Thyroid | 5.00 |
| Testis | 5.60 |
| Muscle | 5.60 |
| Lung | 5.80 |
| Spleen | 5.80 |
| Blood | 7.00 |


### Freight cargo delivery is taking longer than at any point during the pandemic.
#### In July and August, delivery averaged more than 69 days
#### In March 2020, when the U.S. reported its first coronavirus cases,cargo delivery on average took 56.3 days

|  |  |
| --- | --- |
| Jan. 2020 | 88 |
| Feb. | 45 |
| March | 56.3 |
| April | 50 |
| May | 46 |
| June | 44 |
| July | 44 |
| Aug. | 48 |
| Sept. | 50 |
| Oct. | 50 |
| Nov. | 52 |
| Dec. | 53 |
| Jan. 2021 | 58 |
| Feb. | 62 |
| March | 64 |
| April | 68 |
| May | 66 |
| June | 64 |
| July | 67 |
| Aug. 2021 | 69 |


### 图2-6 不均衡的六维领导力
#### 这位管理者的六维领导力评分为：决断力5分，影响力4分，践行力4分，教导力3分，组织力3分，学习力2分。
| 领导力 | 评分 |
| --- | --- |
| 决断力 determination | 5分 |
| 教导力 teaching | 3分 |
| 影响力 influence | 4分 |
| 践行力 implement | 4分 |
| 学习力 learning | 2分 |
| 组织力 organization | 3分 |


### 雷达图示意（竞争力视角）

|  | 品牌 |
| --- | --- |
| 形象 Image | 4 |
| 顾客 Customer | 4 |
| 渠道 Channel | 3 |
| 识别 Visual | 2 |
| 影响力 Influence | 3 |
| 产品 Product | 4 |


<pFig>雷达图1</pFig><quad>(0,0),(0,0)</quad>
|  |  |
| --- | --- |
| 盈利性
-毛利率
-利润率
-净利率-
总资产收益率
-净资产收益率 | 50 |
| 流动性
-流动比率
-速动比率
-现金比率-应收帐周转率
-存货周转率
-流动资产周转率
-总资产周转率 | 70 |
| 成长性
-总资产负债率
-产权负债率 | 8 |
| 安全性
-总资产负债率
-产权负债率 | 80 |
| 生产性
-销售成本率 | 50 |


### 1. 广东省经济综合竞争力一级指标概要分析
#### 2016~2017 年广东省经济综合竞争力二级指标比较雷达图
| 指标 | 2017年 | 2016年 |
| --- | --- | --- |
| 宏观经济竞争力 | 1 | 1 |
| 产业经济竞争力 | 1 | 1 |
| 可持续发展竞争力 | 8 | 3 |
| 财政金融竞争力 | 3 | 3 |
| 知识经济竞争力 | 1 | 1 |
| 发展环境竞争力 | 4 | 4 |
| 政府作用竞争力 | 1 | 6 |
| 发展水平竞争力 | 3 | 3 |
| 统筹协调竞争力 | 5 | 6 |


|  |  |
| --- | --- |
| 习惯1 接纳原本的自己 | 3 |
| 习惯2 改变看法而非别人 | 3.8 |
| 习惯3 彻底地具体化 | 4 |
| 习惯4 从各种视角来看问题 | 2 |
| 习惯5 专注于能做的事 | 2 |
| 习惯6 接受命运 | 3 |
| 习惯7 放弃完美主义 | 4.2 |
| 习惯8 看事物积极的一面 | 4 |
| 习惯9 活在当下 | 2.6 |


### 图8—13 文化竞争力指数组成指标的雷达图
#### 资料来源：中国社会科学院城市与竞争力指数数据库。

|  |  |
| --- | --- |
| 文化竞争力指数 | 0.4 |
| 历史文明程度 | 0.5 |
| 每万人剧场、影剧院数量 | 0.24 |
| 城市国际知名度 | 0.52 |
| 每万人文化、体育和娱乐业从业人数 | 0.52 |


### ——的五因素模型

|  |  |  |
| --- | --- | --- |
| 开放性 | 3 | 高：好奇心 |
| 神经质 | 2 | 高：愤怒 |
| 宜人性 | 4 | 高：尊重、宽容、信任 |
| 外向性 | 4 | 高：主动、热情、合作 |
| 尽责性 | 3 | 高：自控、坚持 |


|  | House 1 | House 2 | House 3 |
| --- | --- | --- | --- |
| Rent Price | 5 | 3 | 2 |
| Commuting time | 1 | 3 | 5 |
| Neighborhood | 4 | 3 | 2 |
| Amenities | 3 | 1 | 3.5 |
| Interior design | 2 | 2 | 3 |
| Crime rate | 2 | 3 | 4 |


|  |  |  |  |
| --- | --- | --- | --- |
| Reproductive system and breast dis. | 0.0% | 1.0% | 0.0% |
| Congenital, familial and genet. dis. | 0.0% | 0.0% | 1.0% |
| Skin and subcutaneous tissue dis. | 4.0% | 4.0% | 4.0% |
| Cardiac dis. | 0.0% | 0.0% | 1.0% |
| Endocrine dis. | 0.0% | 0.0% | 0.0% |
| Vascular dis. | 1.0% | 0.5% | 0.5% |
| Hepatobiliary dis. | 0.0% | 0.5% | 0.5% |
| Psychiatric dis. | 1.0% | 1.0% | 0.5% |
| Eye dis. | 1.0% | 0.5% | 0.5% |
| Metabolism and nutr. dis. | 1.0% | 0.5% | 2.0% |
| Nervous syst. dis. | 0.5% | 2.0% | 2.0% |
| Immune syst. dis. | 1.9% | 1.5% | 1.9% |
| Gastrointestinal dis. | 6.0% | 7.0% | 7.0% |
| Surg and med. procedures | 1.0% | 3.0% | 1.0% |
| Renal and urinary dis. | 1.2% | 1.5% | 1.2% |
| Respiratory, thoracic and mediastinal dis. | 6.0% | 6.0% | 6.0% |
| Ear and labyrinth dis. | 0.0% | 0.5% | 0.0% |
| Social circum. | 0.0% | 0.5% | 0.0% |
| General dis. and administration site conditions | 6.0% | 5.0% | 5.0% |
| Blood and lymph system dis. | 3.0% | 0.0% | 5.0% |
| Injury, poisoning and procedural complications | 3.0% | 8.75% | 9.0% |
| Neoplasms | 2.5% | 5.0% | 8.75% |
| Investigations | 13.0% | 9.0% | 16.5% |
| Musculoskeletal and connective tissue dis. | 10.0% | 16.0% | 4.0% |
| Infections and infest | 32.0% | 19% | 17.5% |
| Product issues | 0.0% | 0.0% | 0.0% |


|  |  |
| --- | --- |
| Teratogenicity | 8% |
| Hepatotoxicity | 49% |
| Immunotoxicity | 1% |
| Neurotoxicity | 2% |
| Nephrotoxicity | 21% |
| Heart toxicity | 6% |
| Genotoxicity | 9% |
| Intestinal toxicity | 7% |


|  | Baseline | Week 24 |
| --- | --- | --- |
| Pruritus | 4.5 | 2 |
| Dizziness | 5.9 | 4 |
| Headache | 4.1 | 3.8 |
| Fatigue | 8.1 | 4 |
| Rhinorrhea | 2 | 2 |
| Dyspnea | 2.1 | 1.8 |
| Chest pain and palpitations | 2 | 1.9 |
| Nausea and vomiting | 2 | 4 |
| Diarrhea and abdominal pain | 5.8 | 4.1 |
| Musculoskeletal pain | 6.9 | 4 |
| Concentration problems | 4 | 2.7 |
| Depression | 6.1 | 3.8 |


### Pedro Guimaraes Radar
#### 618 minutes | FB Template | USLC - 2025

|  |  |
| --- | --- |
| Dribbling g+ | 0.03 |
| Progressive Carries p96 | 0.93 |
| Passing g+ | 0.03 |
| Passes Over Expected p100 | 2.65 |
| Touch % | 3.8% |
| Turnovers p96 | 6.83 |
| Fouling g+ | 0.00 |
| Interrupting g+ | 0.04 |
| Defensive Actions Won p96 | 9.32 |
| Aerial Duel Win % | 40.9% |
| xA p96 | 0.06 |


### Competitor Analysis Spider Chart

|  | Product 1 | Product 2 | Product 3 |
| --- | --- | --- | --- |
| Price | 2 | 1 | 4 |
| Advertisement | 5 | 4 | 3 |
| After-sales Service | 4 | 2 | 2 |
| Sales Channel | 3 | 4 | 2 |
| Quality | 2 | 5 | 1 |
| Product Durability | 4 | 2 | 3 |
| Appearance | 1 | 3 | 5 |
| Diversity | 4 | 3 | 5 |


|  | Series 1 | Series 2(粉) | Series 2(橙) |
| --- | --- | --- | --- |
| Axis Description | 120 | 50 | 76 |
| Axis Description | 85 | 70 | 85 |
| Axis Description | 68 | 100 | 115 |
| Axis Description | 40 | 145 | 83 |
| Axis Description | 68 | 120 | 89 |
| Axis Description | 110 | 60 | 75 |
| Axis Description | 130 | 70 | 85 |
| Axis Description | 86 | 60 | 125 |
| Axis Description | 92 | 50 | 103 |
| Axis Description | 80 | 52 | 68 |
| Axis Description | 90 | 48 | 34 |
| Axis Description | 110 | 49 | 63 |


|  |  |  |
| --- | --- | --- |
| GP NR | 0.62 | 0 |
| Random GP | 0.7 | 0.18 |
| Not random GP | 0.9 | 0 |
| Random multistage | 0.95 | 0 |
| Random stratified | 0.85 | 0.05 |
| Random regional | 0.65 | 0 |
| Non-GP NR | 0.55 | 0 |
| Random non-GP | 0.9 | 0 |
| Convenient | 0.8 | 0 |
| Self selection | 0.8 | 0 |
| Non-GP frame NR | 0.8 | 0 |
| National databases | 0.9 | 0 |
| Medical records | 0.95 | 0 |
| Health care based | 0.78 | 0.4 |
| NR for controls* | 0.98 | 0 |
| Cases controls | 0.5 | 0.16 |
| Clinic based controls* | 0.95 | 0.15 |
| Bias NR | 0.1 | 0 |
| Bias assessed | 0.7 | 0.1 |
| Bias not assessed | 0.8 | 0 |
| Justified exclusion | 0.9 | 0 |
| Exclusion by exposure NR | 0.3 | 0.1 |
| Exclusion by exposure NS | 0.7 | 0.18 |
| Exclusion by exposure | 0.81 | 0 |
| Bias NR in analysis | 0.1 | 0 |
| Weighting by selection | 0.9 | 0.15 |
| Weighting by non-response | 0.9 | 0 |
| Post-stratification by age | 0.85 | 0 |
| Post-stratification by sex | 0.8 | 0.2 |
| Post-stratification by race | 0.95 | 0 |
| Bias NA in analysis | 0.8 | 0 |


### MIT
|  | MIT |
| --- | --- |
| GPA | 3 |
| Tests | 3 |
| Secondary School Record | 3 |
| Class Rank | 3 |
| Essay | 2 |
| Particular Talent Ability | 3 |
| Character Personal... | 4 |
| Extracurricular Activities | 3 |
| Recommendations | 2 |
| Volunteer Work | 2 |


### Bowmore 23Y No Corners to Hide 51.5%
|  |  |
| --- | --- |
| Floral | 5 |
| Fruity | 5 |
| Sherried | 0 |
| Grainy | 2 |
| Smoky | 4 |
| Peaty | 6 |
| Woody | 3 |
| Spicy | 4 |
| Waxy | 3 |
| Salty | 3 |


### Physical Average: 7.5

|  |  |
| --- | --- |
| Aggression | 7 |
| Ball Protection | 8.1 |
| Speed | 8 |
| Strength | 8 |
| Aerial Duels | 7 |
| Jumping Reach | 6.7 |
| Agility | 6.9 |
| Balance | 6.8 |
| Aerobic Capacity | 7.1 |
| Acceleration | 8.1 |
| Change of Pass | 8 |
| Physicality | 8.3 |


|  | Mode | Mean |
| --- | --- | --- |
| The development processes is not accepted | 2 | 2,57 |
| The scope of development process is too large | 2 | 2,74 |
| The (content of the) development process is too complicated | 2 | 2,76 |
| The development process has unrealistic demands | 3 | 2,77 |
| The development process is too abstract | 2 | 2,88 |
| The development process limits freedom | 2 | 2,73 |
| The development process is not sufficiently scaling | 2 | 2,59 |
| The development process is not sufficiently adaptable | 2 | 2,69 |
| The development process is not sufficiently accessible | 2 | 2,53 |
| The development process does not consider the whole system life cycle | 2 | 2,88 |


|  | Series 1 | Series 2 |
| --- | --- | --- |
| Axis Description | 120 | 50 |
| Axis Description | 85 | 70 |
| Axis Description | 68 | 100 |
| Axis Description | 40 | 145 |
| Axis Description | 68 | 120 |
| Axis Description | 110 | 60 |
| Axis Description | 130 | 70 |
| Axis Description | 88 | 60 |
| Axis Description | 92 | 50 |
| Axis Description | 80 | 52 |
| Axis Description | 90 | 48 |
| Axis Description | 110 | 48 |


|  | Series 1 | Series 2 |
| --- | --- | --- |
| Axis Description | 120 | 50 |
| Axis Description | 86 | 70 |
| Axis Description | 68 | 100 |
| Axis Description | 40 | 145 |
| Axis Description | 68 | 120 |
| Axis Description | 110 | 60 |
| Axis Description | 130 | 70 |
| Axis Description | 88 | 60 |
| Axis Description | 92 | 50 |
| Axis Description | 80 | 52 |
| Axis Description | 90 | 48 |
| Axis Description | 110 | 48 |


### Lubrizol Specification Comparison
|  | SN PLUS | dexos 2 |
| --- | --- | --- |
| Soot Thickening | 0 | 7 |
| Aftertreatment Compatibility | 4 | 6 |
| Fuel Economy | 0 | 6 |
| Oxidative Thickening | 7 | 7 |
| Piston Deposits | 4 | 7 |
| Sludge | 1 | 7 |
| Wear | 3 | 8 |