{"component": "clause", "props": {"groups": [{"samples": [{"hash": "hg9l1rbuuNQ", "uri": "/contracts/hg9l1rbuuNQ#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 31.2621078491, "published": true}, {"hash": "dWqmyLrwqFw", "uri": "/contracts/dWqmyLrwqFw#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 29.9111480713, "published": true}, {"hash": "fC4LYbKI0tm", "uri": "/contracts/fC4LYbKI0tm#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 27.6935024261, "published": true}], "snippet": "5.1 Point source waste discharges\n5.2 Non-point sources of pollution\n5.3 Parameters of concern 5.3.1 Environmental fate and pathway analysis", "size": 6, "snippet_links": [{"key": "point-sources", "type": "definition", "offset": [42, 55]}, {"key": "of-concern", "type": "definition", "offset": [84, 94]}, {"key": "environmental-fate", "type": "definition", "offset": [101, 119]}], "hash": "477c2e4a5a6c5f1293e97f47740be62b", "id": 1}, {"samples": [{"hash": "6RGjOky4YNE", "uri": "/contracts/6RGjOky4YNE#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 26.1965389252, "published": true}, {"hash": "3nEwnYQTzVf", "uri": "/contracts/3nEwnYQTzVf#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 26.1965389252, "published": true}, {"hash": "ljnfto3lnFg", "uri": "/contracts/ljnfto3lnFg#conceptual-model", "label": "Bilateral Water Management Agreement", "score": 25.9977302551, "published": true}], "snippet": "5.1 Point source waste discharges\n5.2 Non-point sources of pollution\n5.3 Parameters of concern\n5.3.1 Environmental fate and pathways analysis for parameters of concern\n5.3.2 Bioaccumulation/biomagnification risk for parameters of concern 5.4 Receptors\n5.4.1 Analysis and rationale for human receptors\n5.4.2 Analysis and rationale for biological receptors\n5.4.3 Analysis and rationale for ecological receptors", "size": 4, "snippet_links": [{"key": "point-sources", "type": "definition", "offset": [42, 55]}, {"key": "of-concern", "type": "definition", "offset": [84, 94]}, {"key": "environmental-fate", "type": "definition", "offset": [101, 119]}, {"key": "and-rationale", "type": "clause", "offset": [267, 280]}], "hash": "04d67e53dc7516acfaa50329750f450c", "id": 2}, {"samples": [{"hash": "f5WWTUXHBGO", "uri": "/contracts/f5WWTUXHBGO#conceptual-model", "label": "Data Provision Agreement", "score": 25.1426525116, "published": true}], "snippet": "The AIXM Conceptual Model is the component of the AIXM data standard that provides a conceptual model of aeronautical data. It models the important features, properties (attributes and associations) and business rules that make up aeronautical information. As such, it can be used as the basis for the design of an AIM database. The model is designed using the Unified Modelling Language (UML).", "size": 3, "snippet_links": [{"key": "business-rules", "type": "definition", "offset": [203, 217]}, {"key": "the-basis", "type": "clause", "offset": [284, 293]}, {"key": "the-design", "type": "clause", "offset": [298, 308]}, {"key": "the-model", "type": "clause", "offset": [329, 338]}], "hash": "ebd7cd7c825211f4adc3c28f36d974d5", "id": 3}, {"samples": [{"hash": "6mWawBPSG3j", "uri": "/contracts/6mWawBPSG3j#conceptual-model", "label": "Grant Agreement", "score": 31.4139614105, "published": true}, {"hash": "3oagdHwE7nb", "uri": "/contracts/3oagdHwE7nb#conceptual-model", "label": "Grant Agreement", "score": 30.8172149658, "published": true}], "snippet": "\u200c ESAP, in and of itself, provides no compute or analysis capabilities (beyond a simple ability to view tabular data and preview images). Rather, it acts as a broker between users and the various query and analysis services which are available to them. These might include, for example: \u2022 bulk data query systems, which can help the user locate and access data files (images, visibility data, etc) in archives, data lakes, or similar bulk storage systems; \u2022 tabular data query systems, which can help the user find relevant entries in source catalogues and similar relational systems; \u2022 Interactive Data Analysis (\u2587\u2587\u2587) systems, which provide the user compute and visualization tools in a convenient environment with access to relevant datasets (for example, a Jupyter [7] notebook, or con\u2010 tainerized analysis application); \u2022 bulk data processing systems, which provide batch (non\u2010interactive) processing of data at\u2010scale in HPC or HTC environments; \u2022 scientific software repositories, which provide access to specialist analysis tools and workflows; A given instance of ESAP is configured with information about available services1. When a user connects, the ESAP instance should: \u2022 help the user select services which are relevant to them (for example, by clearly presenting the available services; by making clear what science cases those services support, by taking account of the user\u2019s access privileges, etc); \u2022 facilitate authentication and authorization with the various services, as necessary; \u2022 provide a consistent and convenient way for the user to access services (for example, by providing the user with a single way to enter a particular query, and then automatically translating that to the requirements of each individual service); \u2022 mediate data flow between services (for example, by enabling the user to locate data with an archive query, dispatch the data to the processing facility, and schedule processing of the data on a bulk data processing system). This relationship is illustrated schematically in Fig. 1: this shows the end user communicating directly with ESAP, which mediates their interactions with a range of other services, deployed across a variety of different infrastructures. Note that the user communicates with a single ESAP instance, while that instance mediates interactions with a range of different services from a variety of infrastructure providers.", "size": 2, "snippet_links": [{"key": "ability-to", "type": "definition", "offset": [88, 98]}, {"key": "between-users", "type": "clause", "offset": [166, 179]}, {"key": "analysis-services", "type": "definition", "offset": [206, 223]}, {"key": "available-to", "type": "definition", "offset": [234, 246]}, {"key": "for-example", "type": "definition", "offset": [274, 285]}, {"key": "bulk-data", "type": "definition", "offset": [289, 298]}, {"key": "data-files", "type": "clause", "offset": [356, 366]}, {"key": "bulk-storage", "type": "definition", "offset": [434, 446]}, {"key": "data-analysis", "type": "clause", "offset": [599, 612]}, {"key": "provide-the", "type": "clause", "offset": [634, 645]}, {"key": "access-to", "type": "definition", "offset": [716, 725]}, {"key": "data-processing-systems", "type": "clause", "offset": [831, 854]}, {"key": "processing-of-data", "type": "clause", "offset": [894, 912]}, {"key": "provide-access", "type": "clause", "offset": [992, 1006]}, {"key": "available-services", "type": "definition", "offset": [1113, 1131]}, {"key": "select-services", "type": "definition", "offset": [1198, 1213]}, {"key": "services-support", "type": "definition", "offset": [1342, 1358]}, {"key": "access-privileges", "type": "clause", "offset": [1392, 1409]}, {"key": "authentication-and-authorization", "type": "clause", "offset": [1430, 1462]}, {"key": "for-the-user", "type": "definition", "offset": [1546, 1558]}, {"key": "access-services", "type": "definition", "offset": [1562, 1577]}, {"key": "providing-the", "type": "clause", "offset": [1595, 1608]}, {"key": "to-enter", "type": "definition", "offset": [1632, 1640]}, {"key": "the-requirements", "type": "clause", "offset": [1704, 1720]}, {"key": "individual-service", "type": "definition", "offset": [1729, 1747]}, {"key": "data-flow", "type": "clause", "offset": [1760, 1769]}, {"key": "the-data", "type": "clause", "offset": [1869, 1877]}, {"key": "processing-facility", "type": "definition", "offset": [1885, 1904]}, {"key": "the-end-user", "type": "clause", "offset": [2046, 2058]}, {"key": "other-services", "type": "definition", "offset": [2143, 2157]}], "hash": "4ed531f3250ad84757c5feeacb45948e", "id": 4}, {"samples": [{"hash": "9xfjcwrkWFm", "uri": "/contracts/9xfjcwrkWFm#conceptual-model", "label": "Aeronautical Data Provision Agreement", "score": 32.2153015137, "published": true}], "snippet": "When transmitting Data to the Data Receiver, the following means/methods/tools shall be applied: \u2022 Tools/method used \u2022 Access details e.g. authentication, credentials \u2022 Training or documentation \u2022 Etc.", "size": 1, "snippet_links": [{"key": "data-receiver", "type": "definition", "offset": [30, 43]}, {"key": "access-details", "type": "definition", "offset": [119, 133]}], "hash": "cb9786c2235f9fabac8ea315aff5335e", "id": 5}, {"samples": [{"hash": "a88sQ8EA8eL", "uri": "/contracts/a88sQ8EA8eL#conceptual-model", "label": "Distribution Agreement", "score": 36.5345663307, "published": true}], "snippet": "This study will also use the conceptual model created \u2587\u2587\u2587\u2587\u2587 \u2587\u2587.\u2587\u2587. called \u201cMain pathways that protect against and place wives at risk for HIV, among serodiscordant couples in Surat, India\u201d (\u2587. \u2587. \u2587\u2587\u2587\u2587\u2587 et al., 2016) as a guide to understanding HIV risk. This model was developed using grounded theory to analyze dyadic level data to determine HIV risk among serodiscordant, married couples in Gujarat, India. This model highlights five protective and risk pathways for HIV-transmission for serodiscordant couples. The first pathway leads to safe sex, the second pathway leads to no sex, and the third pathway also leads to no sex after one of the partners either avoids or refuses sex. While risky sexual behaviors do not occur in these three pathways, safe sex or no sex can lead to unfulfilled sexual desire among either one or both partners. This unfulfilled desire could lead to extramarital sex, which increases the risk for STI acquisition and for HIV transmission to the wife. Pathway four occurs when a wife\u2019s attempts to avoid or resist sex actually leads to coercive sex, which could also be unprotected sex. Finally, pathway five simply leads to unprotected sex. Both coerced and unprotected sex can increase HIV transmission to wives. The model also includes factors that influence the occurrence of safe sex and no sex. These factors are: positive sex communication, mutual respect and understanding, a wife\u2019s fear of getting HIV, a wife\u2019s assertiveness, and a husband\u2019s desire to protect his wife from HIV. The factors that influence the occurrence of coerced sex or unprotected sex are: IPV or fear of IPV, a husband\u2019s alcohol use, condom displeasure, and the desire for children. This conceptual model nicely complements the TGP because it takes the risk factors highlighted by the theory and maps them to the actual risky behaviors. It allows for a complete understanding of risk factors and risky behaviors specifically among serodiscordant married couples in Gujarat. See Figure 1 for the full conceptual model. This study used both the TGP and this conceptual model to understand HIV risk factors for serodiscordant couples in Gujarat. Based on the information presented above, this study aimed to answer the following:", "size": 1, "snippet_links": [{"key": "at-risk", "type": "definition", "offset": [126, 133]}, {"key": "grounded-theory", "type": "clause", "offset": [285, 300]}, {"key": "to-determine", "type": "definition", "offset": [330, 342]}, {"key": "married-couples", "type": "clause", "offset": [374, 389]}, {"key": "the-partners", "type": "clause", "offset": [643, 655]}, {"key": "both-partners", "type": "clause", "offset": [830, 843]}, {"key": "the-risk", "type": "definition", "offset": [917, 925]}, {"key": "the-model", "type": "clause", "offset": [1247, 1256]}, {"key": "respect-and-understanding", "type": "clause", "offset": [1387, 1412]}, {"key": "alcohol-use", "type": "definition", "offset": [1634, 1645]}, {"key": "for-children", "type": "clause", "offset": [1682, 1694]}, {"key": "risk-factors", "type": "definition", "offset": [1766, 1778]}, {"key": "understanding-of-risk", "type": "clause", "offset": [1875, 1896]}, {"key": "figure-1", "type": "definition", "offset": [1991, 1999]}, {"key": "based-on", "type": "clause", "offset": [2156, 2164]}, {"key": "the-information", "type": "clause", "offset": [2165, 2180]}], "hash": "373c8d9ea8ec4d77661ab7dbc50773f7", "id": 6}, {"samples": [{"hash": "lpXPWSUvi2H", "uri": "/contracts/lpXPWSUvi2H#conceptual-model", "label": "Distribution Agreement", "score": 20.3111991882, "published": true}], "snippet": "While we have included urbanicity as a construct in this model, it is important to understand that nearly all retail clinics are located in urban areas. As such, the relationships among the other constructs are presented for urban populations and not the population as a whole.", "size": 1, "snippet_links": [{"key": "located-in", "type": "definition", "offset": [129, 139]}, {"key": "urban-areas", "type": "clause", "offset": [140, 151]}], "hash": "4d5774423d3fac1487d61b158eba51c6", "id": 7}, {"samples": [{"hash": "1vcqI4z7oxj", "uri": "/contracts/1vcqI4z7oxj#conceptual-model", "label": "Distribution Agreement", "score": 24.2858562469, "published": true}], "snippet": "Variables", "size": 1, "snippet_links": [], "hash": "03df896fc71cd516fdcf44aa699c4933", "id": 8}, {"samples": [{"hash": "hl0pUAnRzfu", "uri": "/contracts/hl0pUAnRzfu#conceptual-model", "label": "Distribution Agreement", "score": 19.0, "published": true}], "snippet": "The present analysis was based on the CAM Healthcare Model20 which is a modification of \u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2019\u2587 Behavioral Model for Health Services Use21, 22. According to the CAM Healthcare Model, CAM use is dictated by both \u201cpush\u201d and \u201cpull\u201d related factors. Factors that may \u201cpush\u201d an individual away from conventional care include dissatisfaction with conventional care and financial issues (e.g., cost of care, low income, lack of health insurance); factors that may \u201cpull\u201d an individual towards CAM may include personal values that prioritize self-care and positive beliefs about CAM being \u201cnatural.\u201d These individual-level determinants of CAM use can be classified into three main categories: predisposing factors, enabling factors and need-based factors. According to the model, predisposing factors are those that influence whether an individual will use CAM. These factors are divided into demographic characteristics (e.g., gender, age and marital status), social structure (e.g., education), beliefs and values (e.g., satisfaction with conventional healthcare) and personal factors (e.g., perceived self- efficacy and perceived control over health/healthcare). Enabling factors (resources) are those that either facilitate or impede an individual\u2019s use of CAM. For example, individuals must have the financial means (e.g., income and employment) and the \u201cknow- how\u201d to access CAM (e.g., health literacy). Finally, need-based factors refer to an individual\u2019s health status or illness state and are divided into perceived need factors and evaluated need factors. Perceived need factors are subjective assessments of health status (e.g., perceived symptom severity, self-reported quality of life, etc.); evaluated need factors include those that are based on objective assessments of disease status (e.g., date of diagnosis, number of doctor\u2019s office visits, etc.). Using these categories, the model aims to identify factors associated with CAM use and enhance understanding of factors that predict CAM use20. Though the present study examined whether these individual-level determinants predicted CAM use, it is important to note that the model also accounts for the potential impact of social and system-based factors on CAM use such as changes in the availability of CAM therapies in conventional healthcare settings, availability of CAM-related training in schools of medicine, nursing, pharmacy and public health and health insurance reimbursement policies for CAM therapy utilization.", "size": 1, "snippet_links": [{"key": "based-on", "type": "clause", "offset": [25, 33]}, {"key": "modification-of", "type": "clause", "offset": [72, 87]}, {"key": "health-services", "type": "clause", "offset": [120, 135]}, {"key": "according-to", "type": "definition", "offset": [147, 159]}, {"key": "related-factors", "type": "definition", "offset": [232, 247]}, {"key": "an-individual", "type": "clause", "offset": [273, 286]}, {"key": "financial-issues", "type": "clause", "offset": [366, 382]}, {"key": "cost-of-care", "type": "definition", "offset": [390, 402]}, {"key": "lack-of", "type": "clause", "offset": [416, 423]}, {"key": "the-model", "type": "clause", "offset": [764, 773]}, {"key": "demographic-characteristics", "type": "clause", "offset": [888, 915]}, {"key": "marital-status", "type": "clause", "offset": [939, 953]}, {"key": "personal-factors", "type": "clause", "offset": [1065, 1081]}, {"key": "for-example", "type": "definition", "offset": [1261, 1272]}, {"key": "financial-means", "type": "definition", "offset": [1300, 1315]}, {"key": "health-literacy", "type": "clause", "offset": [1387, 1402]}, {"key": "refer-to", "type": "definition", "offset": [1433, 1441]}, {"key": "health-status", "type": "clause", "offset": [1458, 1471]}, {"key": "quality-of-life", "type": "clause", "offset": [1677, 1692]}, {"key": "date-of-diagnosis", "type": "definition", "offset": [1803, 1820]}, {"key": "number-of", "type": "definition", "offset": [1822, 1831]}, {"key": "office-visits", "type": "clause", "offset": [1841, 1854]}, {"key": "associated-with", "type": "definition", "offset": [1922, 1937]}, {"key": "present-study", "type": "clause", "offset": [2018, 2031]}, {"key": "important-to-note", "type": "clause", "offset": [2110, 2127]}, {"key": "potential-impact", "type": "clause", "offset": [2165, 2181]}, {"key": "changes-in", "type": "definition", "offset": [2236, 2246]}, {"key": "availability-of", "type": "clause", "offset": [2251, 2266]}, {"key": "healthcare-settings", "type": "definition", "offset": [2297, 2316]}, {"key": "related-training", "type": "clause", "offset": [2338, 2354]}, {"key": "schools-of-medicine", "type": "definition", "offset": [2358, 2377]}, {"key": "reimbursement-policies", "type": "definition", "offset": [2436, 2458]}], "hash": "0dec65b7e84f19c61827cfb6a7f0008a", "id": 9}, {"samples": [{"hash": "4LEjidD4op8", "uri": "/contracts/4LEjidD4op8#conceptual-model", "label": "End User Agreement", "score": 33.065536499, "published": true}], "snippet": "HRM policies and business performance\nHypothesis 1: The calculative HRM policy is positively related to firm performance.\nHypothesis 2: The collective sharing HRM policy is positively related to firm performance. \u2587\u2587\u2587\u2587 \u2587\u2587\u2587\u2587\u2587\u2587\u2587, \u2587\u2587\u2587\u2587 \u2587.\u2587 \u2587\u2587\u2587\u2587\u2587\u2587\u2587\u2587 and \u2587\u2587\u2587\u2587 \u2587\u2587\u2587\u2587\u2587 83\nHypothesis 3: The collaborative HRM policy is positively related to firm performance.\nHypothesis 4: The positive relationship of a calculative HRM policy with firm performance is stronger for organizations that have a high collaborative HRM policy than for organizations that have a low collaborative HRM policy.", "size": 1, "snippet_links": [{"key": "business-performance", "type": "clause", "offset": [17, 37]}, {"key": "related-to", "type": "clause", "offset": [93, 103]}, {"key": "the-collaborative", "type": "definition", "offset": [277, 294]}], "hash": 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Typically, this clause describes how the parties will use diagrams, flowcharts, or written descriptions to clarify the structure and interactions of the system or deliverables. By establishing a shared understanding of the project's scope and design, the clause helps prevent misunderstandings and ensures all parties are aligned on the project's foundational concepts."}, "json": true, "cursor": ""}}