Resource Patchiness as a Resolution to the Food Paradox in the Sea.

AbstractAverage concentrations of biota in the ocean are low, presenting a critical problem for ocean consumers. High-resolution sampling, however, demonstrates that the ocean is peppered with narrow hot spots of organism activity. To determine whether these resource aggregations could provide a significant solution to the ocean's food paradox, a conceptual graphical model was developed that facilitates comparisons of the role of patchiness in predator-prey interactions across taxa, size scales, and ecosystems. The model predicts that predators are more reliant on aggregated resources for foraging success when the average concentrations of resources is low, the size discrepancy between predator and prey is great, the predator has a high metabolic rate, and/or the predator's foraging time is limited. Size structure differences between marine and terrestrial food webs and a vast disparity in the overall mean density of their resources lead to the conclusion that high-density aggregations of prey are much more important to the survival of oceanic predators than their terrestrial counterparts, shaping the foraging decisions that are available to an individual and setting the stage on which evolutionary pressures can act. Patches of plenty may be rare, but they play an outsized role in behavioral, ecological, and evolutionary processes, particularly in the sea.

Patient experiences in ulcerative colitis: conceptual model and review of patient-reported outcome measures.

PURPOSE: To identify symptoms and their impacts on daily functioning and health-related quality of life (HRQoL) experienced by adult patients with ulcerative colitis (UC) and evaluate patient-reported outcome (PRO) measures for UC clinical studies. METHODS: A conceptual model of symptoms and impacts of UC were developed from a literature review. PRO measures were identified from the literature, clinical trials databases, health technology assessment submissions, and regulatory label claims, and were selected for conceptual analysis based on disease specificity and use across information sources. PRO measures covering the most concepts when mapped against the conceptual model were assessed for gaps in psychometric properties using Food and Drug Administration (FDA) guidance and consensus-based standards for the selection of health measurement instruments (COSMIN) criteria. RESULTS: The conceptual model grouped the 52 symptom concepts and 72 proximal and distal impacts into eight, two, and five dimensions, respectively. Of 65 PRO measures identified, eight underwent conceptual analysis. Measures covering the most concepts and assessed for psychometric properties were the Inflammatory Bowel Disease Questionnaire, Symptoms and Impacts Questionnaire for UC, UC-PRO symptoms modules, UC-PRO impact modules, and Crohn's and UC Questionnaire; all had good or excellent support for content validity. The UC-PRO Signs and Symptoms fully met FDA guidance and COSMIN criteria for content validity and most psychometric properties. CONCLUSION: Existing PRO measures assess concepts relevant to patients with UC, but all PRO measures reviewed require further psychometric evaluation to demonstrate they are fit for purpose.

Exploring community-based participatory research for household and ambient air pollution projects: insights from key informants.

BACKGROUND: Despite the extensive use of community-based participatory research (CBPR) in health-related projects, there is limited work on how CBPR processes result in outcomes, especially in household and ambient air pollution (HAAP) research. This study explores the reflections of key informants on factors that shape the implementation and outcomes of CBPR in HAAP projects. METHODS: We conducted semi-structured interviews with 13 key stakeholders, including academic researchers, non-governmental organisation administrators, a policymaker, and community members. All interviewees have experience in CBPR projects. Interviews were analysed using framework analysis, and findings were mapped to Wallerstein et al.'s CBPR conceptual model, which consists of four constructs: context, partnership processes, intervention and research, and outcomes. RESULTS: The findings are described under two main categories: 'barriers to participation' and 'good practices for effective CBPR design and implementation'. Relevant sub-categories were barriers at the structural, research, community, and individual levels. Suggestions for good practices included respect, cultural humility, trust, effective communication, suitable and affordable interventions such as improved cookstoves, appropriate participatory research tools, and gratuity for the community's time. CONCLUSION: Key informants' perspectives identified factors supported by the CBPR model to inform the design and implementation of the CBPR approach. The add-ons to some of the model's factors, such as intra-community dynamics, give value to the informants' knowledge to support community-research partnerships and improve outcomes in HAAP intervention projects. Addressing these factors at the design stage and reporting CBPR evaluation could deepen the understanding of community-research partnerships.

The underlying role of food guilt in adolescent food choice: A potential conceptual model for adolescent food choice negotiations under circumstances of conscious internal conflict.

Food choice decisions are challenging to conceptualise, and literature is lacking specific to adolescent food choice decisions. Understanding adolescent nutrition and food choice is becoming increasingly important. This research aims to understand what influences the food choices of Irish adolescents, and the mental negotiations occurring in food-based decisions. Additionally, it aims to develop a holistic conceptual model of food choice, specific to adolescents. A qualitative study was conducted in N = 47 Irish adolescents, via focus group discussions using vignettes to introduce discussion topics around food and eating habits. Data were analysed using reflexive thematic analysis, involving both semantic and latent analysis. Thirteen distinct factors related to adolescent food choices were discussed, forming one main theme and three inter-linking subthemes. The main theme relates to food choice being multi-factorial in nature, needing a balance of priorities through internal negotiations for food choice with the aim of reducing food guilt. This can change depending on the social setting. Social concerns and food guilt appear to play a strong role in adolescent food choice, with adolescents feeling guilty for eating unhealthy food, wasting food, or spending/wasting money on food. A conceptual model for food choice in adolescents was developed, named a "Food Choice Funnel", incorporating a specific "Food Guilt Matrix". While we should encourage healthy eating and a healthy lifestyle, it is important to understand the value placed on the social component to eating among adolescents, since they have increasing social interactions and occasions where choosing health-promoting foods may be more challenging. Healthy eating messages should be designed in a balanced manner to support healthy growth and development, while limiting the potential to induce feelings of guilt among adolescents.

Design and validation of a conceptual model regarding impact of open science on healthcare research processes.

INTRODUCTION: The development and use of digital tools in various stages of research highlight the importance of novel open science methods for an integrated and accessible research system. The objective of this study was to design and validate a conceptual model of open science on healthcare research processes. METHODS: This research was conducted in three phases using a mixed-methods approach. The first phase employed a qualitative method, namely purposive sampling and semi-structured interview guides to collect data from healthcare researchers and managers. Influential factors of open science on research processes were extracted for refining the components and developing the proposed model; the second phase utilized a panel of experts and collective agreement through purposive sampling. The final phase involved purposive sampling and Delphi technique to validate the components of the proposed model according to researchers' perspectives. FINDINGS: From the thematic analysis of 20 interview on the study topic, 385 codes, 38 sub-themes, and 14 main themes were extracted for the initial proposed model. These components were reviewed by expert panel members, resulting in 31 sub-themes, 13 main themes, and 4 approved themes. Ultimately, the agreed-upon model was assessed in four layers for validation by the expert panel, and all the components achieved a score of > 75% in two Delphi rounds. The validated model was presented based on the infrastructure and culture layers, as well as supervision, assessment, publication, and sharing. CONCLUSION: To effectively implement these methods in the research process, it is essential to create cultural and infrastructural backgrounds and predefined requirements for preventing potential abuses and privacy concerns in the healthcare system. Applying these principles will lead to greater access to outputs, increasing the credibility of research results and the utilization of collective intelligence in solving healthcare system issues.

Updating a conceptual model of effective symptom management in palliative care to include patient and carer perspective: a qualitative study.

BACKGROUND: A conceptual model of effective symptom management was previously developed from interviews with multidisciplinary healthcare professionals (HCP) working in English hospices. Here we aimed to answer the question; does a HCP data-derived model represent the experience of patients and carers of people with advanced cancer? METHODS: Semi-structured interviews were undertaken with six patients with advanced cancer and six carers to gain an in-depth understanding of their experience of symptom management. Analysis was based on the framework method; transcription, familiarisation, coding, applying analytical framework (conceptual model), charting, interpretation. Inductive framework analysis was used to align data with themes in the existing model. A deductive approach was also used to identify new themes. RESULTS: The experience of patients and carers aligned with key steps of engagement, decision making, partnership and delivery in the HCP-based model. The data aligned with 18 of 23 themes. These were; Role definition and boundaries, Multidisciplinary team decision making, Availability of services/staff, Clinician-Patient relationship/rapport, Patient preferences, Patient characteristics, Quality of life versus treatment need, Staff time/burden, Psychological support -informal, Appropriate understanding, expectations, acceptance and goals- patients, Appropriate understanding, expectations, acceptance and goals-HCPs, Appropriate understanding, expectations, acceptance and goals- family friends, carers, Professional, service and referral factors, Continuity of care, Multidisciplinary team working, Palliative care philosophy and culture, Physical environment and facilities, Referral process and delays. Four additional patient and carer-derived themes were identified: Carer Burden, Communication, Medicines management and COVID-19. Constructs that did not align were Experience (of staff), Training (of staff), Guidelines and evidence, Psychological support (for staff) and Formal psychological support (for patients). CONCLUSIONS: A healthcare professional-based conceptual model of effective symptom management aligned well with the experience of patients with advanced cancer and their carers. Additional domains were identified. We make four recommendations for change arising from this research. Routine appraisal and acknowledgement of carer burden, medicine management tasks and previous experience in healthcare roles; improved access to communication skills training for staff and review of patient communication needs. Further research should explore the symptom management experience of those living alone and how these people can be better supported.

A unified pelvic floor conceptual model for studying morphological changes with prolapse, age, and parity.

Several 2-dimensional and 3-dimensional measurements have been used to assess changes in pelvic floor structures and shape. These include assessment of urogenital and levator hiatus dimensions, levator injury grade, levator bowl volume, and levator plate shape. We argue that each assessment reflects underlying changes in an individual aspect of the overall changes in muscle and fascial structures. Vaginal delivery, aging, and interindividual variations in anatomy combine to affect pelvic floor structures and their connections in different ways. To date, there is no unifying conceptual model that permits the evaluation of how these many measures relate to one another or that reflects overall pelvic floor structure and function. Therefore, this study aimed to describe a unified pelvic floor conceptual model to better understand how the aforementioned changes to the pelvic floor structures and their biomechanical interactions affect pelvic organ support with vaginal birth, prolapse, and age. In this model, the pelvic floor is composed of 5 key anatomic structures: the (1) pubovisceral, (2) puborectal, and (3) iliococcygeal muscles with their superficial and inferior fascia; (4) the perineal membrane or body; and (5) the anal sphincter complex. Schematically, these structures are considered to originate from pelvic sidewall structures and meet medially at important connection points that include the anal sphincter complex, perineal body, and anococcygeal raphe. The pubovisceral muscle contributes primarily to urogenital hiatus closure, whereas the puborectal muscle is mainly related to levator hiatus closure, although each muscle contributes to the other. Dorsally and laterally, the iliococcygeal muscle forms a shelflike structure in women with normal support that spans the remaining area between these medial muscles and attachments to the pelvic sidewall. Other features include the levator plate, bowl volume, and anorectal angle. The pelvic floor conceptual model integrates existing observations and points out evident knowledge gaps in how parturition, injury, disease, and aging can contribute to changes associated with pelvic floor function caused by the detachment of one or more important connection points or pubovisceral muscle failure.

Development of the Cold Agglutinin Disease Symptoms and Impact Questionnaire (CAD-SIQ).

OBJECTIVES: Cold agglutinin disease (CAD) is a rare autoimmune hemolytic anemia. This study aimed to identify disease-related symptoms and impacts important to patients with CAD, and to develop a novel CAD-specific patient-reported outcome measure. METHODS: Adults with CAD were randomly selected from a United States patient panel to participate in concept elicitation (CE) interviews to identify important symptoms and impacts or cognitive debriefing (CD) interviews to assess the comprehension and relevance of the draft item set. RESULTS: Overall, 37 adults were included (mean [range] age 67.2 [35-87] years). In CE interviews (n = 16), the most frequently reported CAD-related symptoms were reactions to cold environments and fatigue (both 93.8%). CAD had negative impacts on enjoyable activities (81.3%) and daily activities (75.0%). Following CE, standard survey methodological principles were used to develop a draft item pool of 14 concepts. Items were refined through three iterative rounds of CD interviews (n = 21), yielding 11 final items: fatigue; cold sensitivity; dyspnea; wearing extra clothing; limited physical, social, and enjoyable activities; difficulty with usual activities; mood; frustration; and anxiety/stress. CONCLUSIONS: The novel 11-item CAD-Symptoms and Impact Questionnaire provides a measure of the symptoms and impacts of CAD that are important to patients.

A multilevel developmental psychopathology model of childbirth and the perinatal transition.

Despite recent applications of a developmental psychopathology perspective to the perinatal period, these conceptualizations have largely ignored the role that childbirth plays in the perinatal transition. Thus, we present a conceptual model of childbirth as a bridge between prenatal and postnatal health. We argue that biopsychosocial factors during pregnancy influence postnatal health trajectories both directly and indirectly through childbirth experiences, and we focus our review on those indirect effects. In order to frame our model within a developmental psychopathology lens, we first describe "typical" biopsychosocial aspects of pregnancy and childbirth. Then, we explore ways in which these processes may deviate from the norm to result in adverse or traumatic childbirth experiences. We briefly describe early postnatal health trajectories that may follow from these birth experiences, including those which are adaptive despite traumatic childbirth, and we conclude with implications for research and clinical practice. We intend for our model to illuminate the importance of including childbirth in multilevel perinatal research. This advancement is critical for reducing perinatal health disparities and promoting health and well-being among birthing parents and their children.

Adaptive variability in children's conceptual models of division.

This study examined whether different types of commonly used mathematical tasks affect how children think about whole number division problems. Prior research suggested that children tend to rely on the partitive model to understand whole number division, which is likely problematic when students transition to learning about fraction division. We assessed variability in correct whole number division problem-solving strategies among 63 elementary school children (41.5% female, 58.5% male, 0% nonbinary/gender expansive; 69.2% White, 10.7% multiracial, 6.1% Black, 4.6% Latino, 3.3% other/unidentified, 6.1% preferred not to answer). Each participant was asked to demonstrate four whole number division problems in each of three contexts (within participants): objects, story problems, and number lines. Most children displayed understanding of multiple conceptual models of division, but strategies varied by context. Story problems elicited partitive models, number lines elicited quotative models, and objects elicited both. Finally, elementary school children used strategies adaptively. Number line representations may afford conceptual connections between earlier-learned whole number concepts and analogous later-learned fraction concepts, supporting the integration of children's whole number and fraction knowledge.

Mapping trust relationships in organ donation and transplantation: a conceptual model.

The organ donation and transplantation (ODT) system heavily relies on the willingness of individuals to donate their organs. While it is widely believed that public trust plays a crucial role in shaping donation rates, the empirical support for this assumption remains limited. In order to bridge this knowledge gap, this article takes a foundational approach by elucidating the concept of trust within the context of ODT. By examining the stakeholders involved, identifying influential factors, and mapping the intricate trust relationships among trustors, trustees, and objects of trust, we aim to provide a comprehensive understanding of trust dynamics in ODT. We employ maps and graphs to illustrate the functioning of these trust relationships, enabling a visual representation of the complex interactions within the ODT system. Through this conceptual groundwork, we pave the way for future empirical research to investigate the link between trust and organ donation rates, informed by a clarified understanding of trust in ODT. This study can also provide valuable insights to inform interventions and policies aimed at enhancing organ donation rates.

Development of an Evidence-Based Conceptual Model of the Health Care Sector Under Digital Transformation: Integrative Review.

BACKGROUND: Digital transformation is currently one of the most influential developments. It is fundamentally changing consumers' expectations and behaviors, challenging traditional firms, and disrupting numerous markets. Recent discussions in the health care sector tend to assess the influence of technological implications but neglect other factors needed for a holistic view on the digital transformation. This calls for a reevaluation of the current state of digital transformation in health care. Consequently, there is a need for a holistic view on the complex interdependencies of digital transformation in the health care sector. OBJECTIVE: This study aimed to examine the effects of digital transformation on the health care sector. This is accomplished by providing a conceptual model of the health care sector under digital transformation. METHODS: First, the most essential stakeholders in the health care sector were identified by a scoping review and grounded theory approach. Second, the effects on these stakeholders were assessed. PubMed, Web of Science, and Dimensions were searched for relevant studies. On the basis of an integrative review and grounded theory methodology, the relevant academic literature was systematized and quantitatively and qualitatively analyzed to evaluate the impact on the value creation of, and the relationships among, the stakeholders. Third, the findings were synthesized into a conceptual model of the health care sector under digital transformation. RESULTS: A total of 2505 records were identified from the database search; of these, 140 (5.59%) were included and analyzed. The results revealed that providers of medical treatments, patients, governing institutions, and payers are the most essential stakeholders in the health care sector. As for the individual stakeholders, patients are experiencing a technology-enabled growth of influence in the sector. Providers are becoming increasingly dependent on intermediaries for essential parts of the value creation and patient interaction. Payers are expected to try to increase their influence on intermediaries to exploit the enormous amounts of data while seeing their business models be challenged by emerging technologies. Governing institutions regulating the health care sector are increasingly facing challenges from new entrants in the sector. Intermediaries increasingly interconnect all these stakeholders, which in turn drives new ways of value creation. These collaborative efforts have led to the establishment of a virtually integrated health care ecosystem. CONCLUSIONS: The conceptual model provides a novel and evidence-based perspective on the interrelations among actors in the health care sector, indicating that individual stakeholders need to recognize their role in the system. The model can be the basis of further evaluations of strategic actions of actors and their effects on other actors or the health care ecosystem itself.

A multi-phase approach for developing a conceptual model for human resources for health observatory (HRHO) toward integrating data and evidence: a case study of Iran.

BACKGROUND: Evidence-informed policymaking on human resources for health (HRH) has been directly linked with health system productivity, accessibility, equity, quality, and efficiency. The lack of reliable HRH data has made the task of planning the HRH more difficult in all settings. AIM: This study aimed to develop a conceptual model to integrate HRH data and evidence. METHODS: The current study is a mixed-method study conducted in three phases: a rapid literature review, a qualitative phase, and an expert panel. Firstly, the electronic databases were searched up to 2018. Then, in the qualitative phase, semi-structured interviews with 50 experts were conducted. Data analysis was performed using the content analysis approach. After several expert panels, the draft of the model was validated with 15 key informants via two Delphi rounds. RESULTS: Our proposed model embraces all dominant elements on the demand and supply side of the HRH in Iran. The conceptual model consists of several components, including input (regulatory system, structure, functions), educational system (pre-service and in-service education), health labor market structure, process (technical infrastructure), and output (productions, policymaking process). We considered networking toward sustainable interaction among stakeholders, and also the existence of capacity to integrate HRH information and produce evidence for actions. CONCLUSION: The proposed model can be considered a platform for developing a harmonized system based on the HRH data flow to evidence-informed decision-making via networking. We proposed a step-by-step approach for the sustainability of establishing a national human resources for health observatory (HRHO). The proposed HRHO model can be replicable and flexible enough to be used in different context domains.

A model to understand antecedents of nursing attitudes and perceptions influencing outcomes of patients with SUD.

INTRODUCTION: Substance use disorder (SUD) is a persistent and long-standing public health issue in the United States. While SUD is medically considered a chronic illness, it is also one that is viewed as self-inflicted, thereby resulting in judgmental attitudes and stigmatization from care providers, specifically from nurses. DESIGN: In 2020, the authors completed an analytical cross-sectional study that included open-ended questions to examine nurses' knowledge and attitudes toward caring for patients with SUD across practice settings. METHODS: A conceptual model was constructed by examining original study data and published literature on SUD, re-analyzing themes, determining constructs and variables, then coming to a consensus on critical aspects of the model. CONCLUSION: The resulting conceptual model highlights antecedents of nursing behaviors that directly affect patient care outcomes, providing a roadmap to improving patient outcomes. CLINICAL RELEVANCE: Understanding antecedents that affect nurses' attitudes and perceptions of patients with SUD highlights changes that can influence patient outcomes.

Resilience in adults with colorectal cancer: Refining a conceptual model using a descriptive qualitative approach.

AIMS: To examine and refine a conceptual model of resilience in adult cancer care based on the perspectives and experiences of resilience in adults with colorectal cancer. DESIGN: A descriptive qualitative study was performed. METHODS: Twelve participants diagnosed with colorectal cancer that had completed cancer treatment with curative intent were recruited from a tertiary hospital in Australia from July to December 2019. The meaning of individual resilience was explored using in-depth individual interviews. Data were analysed using inductive thematic analysis. Following data analysis, the elements of the conceptual model of resilience were mapped against the themes and subthemes to refine the model. RESULTS: Five themes were identified as key elements of individual resilience in adults with colorectal cancer: (1) seeking motivations to move forward; (2) striving for normality; (3) adapting and managing self; (4) drawing on external supports; (5) redefining self. A refined conceptual model of individual resilience in adults with colorectal cancer was developed based on the integration of the themes and the elements of the conceptual model of individual resilience. CONCLUSIONS: Our refined conceptual model of individual resilience in adults with colorectal cancer could facilitate nurses' and other health professionals' understanding of the process of how resilient individuals with colorectal cancer overcome their illness-related adversity. This refined model may be used to further develop and test cancer-specific resilience measures and develop interventions to facilitate resilience in people living with colorectal cancer. IMPACT: This research identified five features of resilience in adults with colorectal cancer and refined a conceptual model of resilience in adults with colorectal cancer. The findings could help nurses and other health professionals with identifying individuals who are at risk of adaptation difficulties and contribute to an early referral to psychosocial support services.

Use of the Tilburg frailty indicator in longitudinal studies with older adults: A scoping review.

AIM: To understand how researchers applied the Tilburg Frailty Indicator (TFI) to older adults. The use of the TFI was examined based on the Integral Conceptual Model of Frailty (ICMF). DESIGN: A scoping review. DATA SOURCES: A database search was conducted without a time limit in PubMed, CINAHL, Embase and the Cochrane library. A hand search was also conducted. REVIEW METHODS: Research questions were developed based on the population-concept-context framework suggested by the Joanna Briggs Institute (2017). Studies were included if topics were related to the use of the TFI or ICMF and designs were longitudinal studies. RESULTS: A total of 37 studies met the inclusion criteria. Studies were reviewed according to the tested pathways of the ICMF: determinants of frailty or adverse outcomes, adverse outcomes of frailty and comparison of predictive power between frailty measures. CONCLUSION: The TFI is a useful tool to screen for frailty and predict health outcomes in older adults. Among the pathways of the ICMF, relationships between social factors and frailty were reported in several studies. Despite this relationship, social factors were considered as items to assess the social domain of frailty rather than determinants of frailty. The predictive power of the TFI was not superior to other frailty measures, but it had a high sensitivity. IMPACT: This study demonstrates the usability of the TFI in older adults living in various conditions. Further studies are required to identify more effective ways to screen frailty using the TFI. PATIENT OR PUBLIC CONTRIBUTION: No patient or public involvement in this study.

Transforming acute pain management in children: A concept analysis to develop a new model of nurse, child and parent partnership.

OBJECTIVES: To identify the core components of acute pain management in children, re-conceptualise the process and update the existing model to inform nursing research and clinical practice. BACKGROUND: Acute pain in hospitalised children remains suboptimal, despite extensive nursing research and education. Improvements require a patient-centred approach and a conceptual model which includes the role of parents and partnership. DESIGN: Using Rodgers' Evolutionary method, a concept analysis was conducted to define the core components for effective acute pain management in children. METHODS: A scoping review of peer-reviewed literature from 1990 through 2020 was conducted using the terms "pain management," "pain control," "pain treatment," "multi modal," and "concept*". Abstracts from 85 articles were initially reviewed with 30 articles retained for analysis. Core concepts were identified, defined and synthesised. The PRISMA 2020 checklist was used. RESULTS: A new model was developed from a synthesis of past work which incorporates the role of parents, the complexity of the process and definitions for shared decision-making. Trust, safety, collaborative communication and genuine partnership were identified as the core components for effective pain management in children, with the triadic relationship of nurses, patients and parents in genuine partnership foundational to the nursing process. CONCLUSION: The new model for acute pain management in children transforms the nurse's role from gatekeeper to facilitator, shifting the process from nurse driven to patient-centred. The new collaborative model will promote shared decision-making for individualised pain assessments, interventions and evaluations. RELEVANCE TO CLINICAL PRACTICE: Establishing the nurse, child, parent partnership as an essential foundation to pain management has the potential to expand pain assessments, optimise treatment selections, advancing clinical practice, patient outcomes and nursing science. No Patient or Public Contributions were included in this paper as this was a concept analysis pulling from past works.

A simplified model for analyzing rainwater retention performance and irrigation management of green roofs with an inclusion of water storage layer.

Rainwater retention and water content in green roofs are primarily influenced by structural configurations (i.e., soil layer, vegetation layer, and water storage layer) and climatic factors (i.e., rainfall and evapotranspiration (ET)). Based on the principle of water balance, this study proposes a conceptual model for simulating water flow in green roofs with water storage layers. Three green roof model experiments were conducted from August 1st, 2020 to July 31st, 2021 for calibrating and verifying the conceptual model. The proposed model was solved iteratively using a newly developed program in Visual Basic. The results showed that the conceptual model can capture the dynamic variations in the rainwater retention and water content of green roofs well. The average Nash-Sutcliffe efficiency coefficient is 0.65 and the average error is 6%. The annual rainwater retention capacity (RRC) of green roofs in the perennial rainy climate model was on average 28% higher than that in the seasonal rainy climate model. At the expense of water stress, high ET plants significantly increased the annual RRC of green roofs at a low level. As the water storage layer depth increased from zero to 150 mm, the annual RRC of green roofs increased by 41%, and the water stress decreased by 49%. Compared with an increase in water holding capacity and soil depth, the response of the annual RRC and water stress of green roofs for increasing water storage layer depth is much greater. As per climate of Southern China region, the water storage layer depth of 100 mm is found to obtain optimal rainwater retention and irrigation management in green roof with similar soil thickness (100 mm).

Qualitative Assessment of Key Implementation Factors in a Faith-Based Response to Intimate Partner Violence.

BACKGROUND: Faith-based organizations (FBOs) have a scant history in the literature of implementing intimate partner violence (IPV) initiatives, though many members of faith communities consider it an important issue. Furthermore, the limited studies on this topic have not explored organizational factors that are important in the implementation of such efforts. PURPOSE: To investigate factors that influence the implementation of IPV prevention and response by one Catholic organization at both diocesan and parish levels. METHODS: We conducted sixteen semi-structured interviews with members of Archdiocese of Chicago Domestic Violence Outreach (ACDVO) leadership. Using deductive content analysis, we drew on all 14 constructs and sub-constructs from the inner setting domain of the Consolidated Framework for Implementation Research (CFIR) for coding transcripts and characterizing factors influencing implementation success. RESULTS: Seven CFIR constructs were useful in identifying factors that influenced implementation success of ACDVO. At the diocesan level, the organization's leadership structure, their driven culture, and in-kind available resources propelled their work. At the level of parish ministries, successful implementation was facilitated by networking and communication among parishes. At the diocesan-level, access to knowledge and information through ACDVO's Parish Support Committee, compatibility with parish values, leadership engagement, and available resources from parishes supported implementation. CONCLUSIONS: We identified modifiable and reproducible inner setting factors that influence implementation of a Catholic IPV initiative at the diocesan-level and support parish ministries in their local activities. Future work should validate these findings in other dioceses and examine non-Catholic FBO settings.

Conceptual model of a semi-arid coastal aquifer using hydrogeochemical seasonal variation and isotopic fingerprints in Tamoios, Rio de Janeiro, Brazil.

The present study focuses on the Tamoios aquifer (Rio de Janeiro State, Brazil), which is under pressure due to receiving a significant volume of urban runoff and sewage. The objective was based on a number of hydrogeochemical and isotope data to assess the aquifer functioning and establishing a conceptual model to evaluate the hydrogeochemical processes. The database consisted of groundwater samples (n = 20) and surface water samples (fluvial, lagoon, and seawater) (n = 4), analyzed for major and trace constituents plus 18O and 2H isotopes. Results demonstrate that most of the groundwater samples were classified as sodium-chloride type in the rainy season and magnesium-chloride type in the dry season. Ion ratios indicated the ion sources and chemical behavior. Groundwater remained with a relatively high salt content throughout the seasons, particularly in the samples from the southern portion of the aquifer. PHREEQC software simulations exposed dolomite and calcite in mostly undersaturated condition and halite subsaturated throughout the year. Hydrogeochemical behavior indicated the salt content in the groundwater was not related to a hypothetical saltwater intrusion and revealed a steady state condition for the groundwater interface. Groundwater samples have a similar isotopic signature and were likely influenced by evaporative effects, indicating a role for the existing ponds in aquifer recharge. Strong free surface evaporation effects, evapotranspiration, and drainage processes in the floodplains probably enhanced the high ionic concentration in the groundwater environment.