Multi-method Approach Research Articles

Integration of deep-learning fault segmentation, horizontal transverse isotropy analysis, and ambient microseismic methods to enhance fracture prediction in the Crisol Anticline, Colombia

The analysis of fault and fracture systems in the subsurface is crucial for identifying potential reservoirs and optimizing production. However, conventional fault interpretation methods have limitations due to the complexity and amount of data involved. In this study, a multimethod approach was used to analyze fault and fracture systems in the Crisol area of the Valley Middle Magdalena basin. We used deep-learning fault segmentation, horizontal transverse isotropy (HTI), and ambient microseismic methods to identify and characterize fault and fracture systems in the study area. The deep-learning fault segmentation method helped to identify complex fault systems, whereas the HTI method identified areas and orientations of intense fracturing that occurred at any prior period of stress in geologic time. Meanwhile, the ambient microseismic method measured active rock movements and fracturing in the subsurface that occurred during the microseismic trace recording. The application of multiple methods for analyzing fault and fracture systems in the subsurface is demonstrated to offer a more comprehensive understanding of the geology and enhance the accuracy of well placement and production forecasts.

Personalideer: A comprehensive review of personality studies in cervids

Understanding animal personality, that is, consistent behavioural variation among individuals, is essential for elucidating the evolutionary origins of human personality. Despite extensive research on personality in diverse taxa, its significance in deer (i.e. cervids, family Cervidae), a taxon with diverse socioecological strategies, remains largely unexplored. This review summarizes the deer personality literature and highlights the knowledge gap in the studied species, personality assessment methods and traits, the general goal of the study, and implications for human personality research. We identified 32 eligible studies on seven species of deer, representing only a small portion of existing deer taxonomic diversity. More than half of the articles focused on three common deer species, roe deer ( Capreolus capreolus), fallow der ( Dama dama), and elk ( Cervus canadensis). Most studies evaluated reactions to capture, handling, and approaching humans, interpreting these behaviours as ‘Boldness’ or a ‘Coping style’. Also, most articles investigated the personality links to ecological variables, followed by physiological measures, and management applications. We advise researchers to move beyond measuring single traits and adopt a multitrait–multimethod approach, as is common in human personality research. Finally, deer and other animal models might be viable alternatives for studying adaptive value and genetic and environmental underpinnings of personality when research on humans is complicated.

Multi-method approach identifies a South African estuary as an important elasmobranch habitat and potential nursery ground

Elasmobranchs play important ecological roles but are highly threatened. Understanding their habitat use and abundance is crucial for the management and conservation of these species and their habitats. While some species are known to use estuaries as vital habitats (e.g. feeding or nursery grounds), this remains an understudied area. A multi-method approach was used to survey the Keurbooms Estuary on the south coast of South Africa, over two years, to quantify the diversity, relative abundance and habitat use of elasmobranchs in this system. The survey methods were baited remote underwater video (BRUV), boat-based visual sightings, and unmanned aerial video (UAV). Opportunistic sightings were also collected. Six elasmobranch species were observed, with significant differences in community composition between the methods. Whereas effort was skewed towards BRUV surveys, the boat and UAV surveys recorded more elasmobranchs more frequently, and opportunistic sightings recorded the highest diversity. The common eagle ray Myliobatis aquila was the most abundant elasmobranch species and the only one recorded year-round; most individuals (93%) were juveniles, suggesting the Keurbooms Estuary may be a nursery area for this Critically Endangered species. The duckbill ray Aetomylaeus bovinus and common smoothhound shark Mustelus mustelus were observed during summer, the latter forming large aggregations. Another three ray species were recorded rarely. This study highlights the benefit of using a multi-method survey approach for shallow ecosystems and reveals the Keurbooms Estuary as an important habitat for elasmobranchs.

A Comparative Study on How AI is Partnering with Nature for a Sustainable Future.

Mounting ecological and socio-economic challenges demand a paradigm shift to sustainability. Artificial intelligence (AI) becomes a powerful means to pursue this objective; it establishes a “Symbiotic Synergy” with nature’s complex networks. This study attempts to investigate the SDGs using AI as a transformative tool, the sustainability of AI and its socio-economic impact. The research applies a multimethod approach, using surveys, case studies and categorizations to determine how AI is helping achieve the SGDs in harmony with nature. Key applications of AI in important domains are covered including agriculture and sanitation, renewable energy sector, hydrogen energy sector and the impact that AI is having leading to the future sustainable cities. Case studies and real-world examples demonstrate the effectiveness of AI technologies in forecasting energy demand, improving power dispatchment, and boosting performance within renewable resources. This study is a guide to the harnessing of AI potential for meeting SDGs, which leads us into an era where humans will attain great heights with cooperation between technology and nature.

Attributing daily ocean temperatures to anthropogenic climate change

Abstract Ocean temperatures around the world are rising and hit record levels around the world in 2023. While trends are clear and likely strongly connected to human-caused climate change, the oceans also exhibit variability on the daily level, leading to local extremes such as marine heatwaves. We present an operational system to estimate the impact of human-caused climate change on daily sea surface temperatures anywhere in the ocean. This system uses a multi-method approach combining observed trends and paired control/forced climate model runs from CMIP6. Our approach is novel in its flexibility and ease of application for global, daily use for any day since the beginning of the satellite era (1982--2023). The system allows for rapid evaluation for further study of attributable ocean temperatures and real-time communications of attributable ongoing events. We apply the system to well-documented heatwaves in the Tasman Sea, Gulf of Maine, and Mediterranean Sea over the past decade, as well as global conditions in July 2023, to confirm that the system produces estimates consistent with other attribution methods, and to simulate how our system handles interesting events as they are occurring. Each of these events strongly reflected impacts of climate change: their temperatures were consistently made at least four times as likely to occur in our human-influenced climate than in a world without climate change. Meanwhile, in July 2023, almost all (>70%) of the ocean's temperatures were made at least twice as likely to occur on any given day. Rapid attribution of daily ocean temperatures provides a pathway for quantifying the influence of climate change on ecological impacts like coral bleaching and on ocean-generated/influenced storms like tropical cyclones.

The Context-Dependent Demand for Watchdog Journalism: Dynamics in Audience Expectations for Journalists’ Role Performance

ABSTRACT The watchdog role is central to the democratic legitimacy of journalism and is also perceived as an essential part of journalists’ role performance by the public. So far, the expectations on journalists’ watchdog role performance have been studied as a static concept resulting in limited knowledge of the underlying dynamics in audience demand and expectations for this type of journalism. We argue that the demand for watchdog journalism is dynamic and varies according to changes in the broader context and across audience characteristics. We take a multi-method approach to examine the demand for watchdog journalism during the COVID-19 pandemic in Denmark. First, we use data from three representative surveys (n≈1.000 in each), including a panel component (n = 336), to demonstrate that the demand for watchdog journalism increased over time, especially among opposition voters, as the political context offered more political conflict and contested policy solutions. Second, a qualitative analysis of answers to an open-ended question in the surveys examines how the audience believes the watchdog role should be performed. We show that the demand for different functions of journalists’ critical reporting varies over time and that the form used by journalists when conducting critical reporting is extremely important to the audience.

Abstract PO2-10-02: 'Sharing Our Own Experience': A Qualitative Study of Black Women Diagnosed with Triple-Negative Breast Cancer

Abstract Introduction: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that is disproportionately prevalent among U.S. Black women. Black women diagnosed with TNBC are less likely to receive the primary treatment options for TNBC, and more likely to die from the disease compared to white patients with the same diagnosis. Given TNBC’s impact on Black women, there is an urgent need to better understand their needs for information and support and any unique barriers to care they may face. Thus, this study explored the perspectives, needs, and lived experiences of Black women diagnosed with TNBC. Methods: Our study was guided by the transformative paradigm and used a multi-method approach. Study-eligible participants self-identified as: a) Black or African American; b) 18 years or older; c) being diagnosed with TNBC within the previous 5-7 years; d) receiving TNBC treatment in the U.S.; and e) English-speaking. From August-October 2022, SHARE Cancer Support (a national nonprofit focused on cancer) and 15 partner organizations used social media and listservs to recruit potential participants from their constituencies to complete a quantitative survey (n=49). From the survey participants, a stratified, purposeful sample of 20 Black women diagnosed with TNBC completed in-depth interviews from November 2022-February 2023. Two Black women researchers conducted virtual interviews with the participants via Zoom. The research team performed thematic analysis on the professionally transcribed data using NVivo 12. A Black Feminist lens was used to analyze codes and interpret emerging themes present across the interviews. The University of South Carolina's Institutional Review Board approved this study. Results: About half of those interviewed were between 35 and 44 years old, had a bachelor's degree or higher, and their annual household income ranged from less than $25,000 to $175,000. Eight major themes emerged from the personal stories of Black women diagnosed with TNBC. From diagnosis to survivorship, Black women discussed the importance of advocacy, including self-advocacy, others advocating on their behalf, and being motivated to become an advocate for others. The participants shared the significance of their identity as Black women and desired that cancer care team members acknowledge their identity and subsequently culturally tailor their care needs. Some participants also noted instances of racism and discrimination that occurred during their TNBC diagnosis or treatment experience. Participants overwhelmingly stressed the vital nature of having “someone who looks like me” to inform them about treatment options and existing resources, as well as to provide emotional support through their shared lived experiences with TNBC. Additionally, participants recognized the importance of embracing the uncertain yet inevitable future. They also emphasized that mental health support is not uniformly provided in care settings but should be an essential component of the TNBC treatment plan. Having support was essential to all the women, but they noted that support can look different for everyone and many existing support resources need to be improved. The themes were adapted into a list of recommended action steps for support organizations, clinical care team members, and TNBC patients to help improve the quality of life for Black women diagnosed with TNBC. Conclusions: The lived experiences of Black women diagnosed with TNBC can serve as a meaningful source of data and provide solutions to addressing persistent health disparities these women face. Findings from this study can inform future research and clinical practice about how to support the holistic needs of Black women diagnosed with TNBC. Recommendations for improving the quality of life for Black women diagnosed with triple-negative breast cancer. The 8 major themes that emerged in the qualitative study were adapted into a list of actionable recommendations for key interest groups to improve the lives of Black women diagnosed with triple-negative breast cancer. Citation Format: Tisha Felder, Lucy Ingram, Megan Austin, Victoria Burke, Stephanie Poland, Megan-Claire Chase, Christine Benjamin. 'Sharing Our Own Experience': A Qualitative Study of Black Women Diagnosed with Triple-Negative Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-10-02.

Development of a physical capacity framework to support clinical reasoning of physiotherapists treating hospitalised patients

Background Applying an appropriate physiotherapy intervention to a hospitalised patient can be challenging because the clinical status can change rapidly, affecting the patient’s physical capacity. Determining the appropriate type and dose of the physiotherapy intervention requires dynamic assessment of physical capacity and adequate clinical reasoning by the physiotherapist. Purpose To develop a framework for determining physical capacity to support physiotherapists in their clinical reasoning process when treating hospitalised patients. Methods A framework was developed using a multi-method approach. First, the scientific literature was searched for existing frameworks for clinical reasoning in physiotherapy. These methods were inventoried and relevant elements were extracted. Second, a first draft of the framework was developed by a group of experts. Third, the framework was tested in practice, leading to a final version. Results A total of 17 frameworks were identified from the literature. No framework was found for generic use in the hospital for the purpose of determining patient’s physical capacity. Relevant elements from the identified frameworks were: the use of ICF terminology, the use of a patient management model, and frequent monitoring of clinical parameters. Field testing of the first draft of the framework led to improvement of the framework for use in clinical practice. Conclusion A framework was developed to support physiotherapists in their clinical reasoning process when treating hospitalised patients. The framework can provide guidance for determining the patient’s physical capacity to allow for an adequate training stimulus.

Comprehensive Assessment of Flood Exposure in Arid Regions: Integrating GIS Techniques and Multi-Method Approaches – A Case Study of Downstream Swat River, Pakistan

Comprehensive Assessment of Flood Exposure in Arid Regions: Integrating GIS Techniques and Multi-Method Approaches – A Case Study of Downstream Swat River, Pakistan

Isotopic, mycotoxin, and pesticide analysis for organic authentication along the production chain of wheat-derived products

Wheat-based products are staples in diets worldwide. Organic food frauds continuously threaten consumer trust in the agri-food system. A multi-method approach was applied for organic authentication and safety assessment along the production chain of pasta and bakery products. Bulk and compound-specific (CS) stable isotope ratio mass spectrometry (IRMS) suggested the δ15Nbulk, δ15Nleucine and δ15Nproline as promising organic markers, with CS able to distinguish between pairs which bulk analysis could not. Processing significantly affected the δ15Nleucine, δ13Cproline and δ13Cleucine. Multi-mycotoxin analysis (HT-2, T-2, DON, ZEN, OTA, AFB1) showed higher contamination in conventional than organic samples, while both milling and baking/drying significantly reduced mycotoxin content. Lastly, from the analysis of 400 residues, isopyrazam was present at the highest concentration (0.12 mg/kg) in conventional wheat, exhibiting a 0.12 processing factor (PF), while tebuconazole levels remained unchanged in pasta production (90 °C) but reduced below LOQ in biscuits and crackers (180–250 °C).

Eye-Tracking Biomarkers and Autism Diagnosis in Primary Care.

Finding effective and scalable solutions to address diagnostic delays and disparities in autism is a public health imperative. Approaches that integrate eye-tracking biomarkers into tiered community-based models of autism evaluation hold promise for addressing this problem. To determine whether a battery of eye-tracking biomarkers can reliably differentiate young children with and without autism in a community-referred sample collected during clinical evaluation in the primary care setting and to evaluate whether combining eye-tracking biomarkers with primary care practitioner (PCP) diagnosis and diagnostic certainty is associated with diagnostic outcome. Early Autism Evaluation (EAE) Hub system PCPs referred a consecutive sample of children to this prospective diagnostic study for blinded eye-tracking index test and follow-up expert evaluation from June 7, 2019, to September 23, 2022. Participants included 146 children (aged 14-48 months) consecutively referred by 7 EAE Hubs. Of 154 children enrolled, 146 provided usable data for at least 1 eye-tracking measure. The primary outcomes were sensitivity and specificity of a composite eye-tracking (ie, index) test, which was a consolidated measure based on significant eye-tracking indices, compared with reference standard expert clinical autism diagnosis. Secondary outcome measures were sensitivity and specificity of an integrated approach using an index test and PCP diagnosis and certainty. Among 146 children (mean [SD] age, 2.6 [0.6] years; 104 [71%] male; 21 [14%] Hispanic or Latine and 96 [66%] non-Latine White; 102 [70%] with a reference standard autism diagnosis), 113 (77%) had concordant autism outcomes between the index (composite biomarker) and reference outcomes, with 77.5% sensitivity (95% CI, 68.4%-84.5%) and 77.3% specificity (95% CI, 63.0%-87.2%). When index diagnosis was based on the combination of a composite biomarker, PCP diagnosis, and diagnostic certainty, outcomes were concordant with reference standard for 114 of 127 cases (90%) with a sensitivity of 90.7% (95% CI, 83.3%-95.0%) and a specificity of 86.7% (95% CI, 70.3%-94.7%). In this prospective diagnostic study, a composite eye-tracking biomarker was associated with a best-estimate clinical diagnosis of autism, and an integrated diagnostic model including PCP diagnosis and diagnostic certainty demonstrated improved sensitivity and specificity. These findings suggest that equipping PCPs with a multimethod diagnostic approach has the potential to substantially improve access to timely, accurate diagnosis in local communities.

Career paths of a university’s pharmacy graduates over 15 years: a cross-sectional evaluation

Abstract Introduction The versatility of a pharmacy degree has evolved over time. Expanding opportunities have emerged for employment in sectors outside those usually associated with the degree. A paucity of international literature evaluating pharmacy graduate career paths over an extended period is apparent – research which could enhance workforce capacity planning. Aim To evaluate trends in graduate career paths from a pharmacy school in Ireland over a fifteen-year period and assess graduate satisfaction with their career path and pharmacy programme. Methods This study utilised a multi-method approach to access graduate career data, using an online survey and publicly accessible information from LinkedIn® profiles. The survey, comprising both Likert scale and multiple-choice questions, was distributed to all the university’s pharmacy graduates from 2007 to 2022. Data from both methods were combined, cross-checked, coded, and analysed quantitatively using descriptive and inferential statistics – whereby p<0.05 denotes statistical significance. Results Data were obtained on 556/798 pharmacy graduates (69.7%), comprising 203 survey responses (25.4% response rate) and 353 LinkedIn profiles. Community pharmacy was the most common current employment sector (47.7%), followed by industry (21.5%), hospital (17.7%), and academia (6.1%). The percentage working in patient-facing settings ranged from 79.5% (2022) to 36.7% (2010). More recent graduates (≤5 years post-graduation) were significantly more likely (p<0.05) to work in a patient-facing role versus those who graduated >5 years ago (Figure 1). Over half of graduates not primarily working in community pharmacy (61.1%) had previously held a full-time community pharmacist role. Post-graduate education was undertaken by 41.3% of graduates, with the lowest uptake amongst community pharmacists (13.7%). Overall, career satisfaction from the survey was high (88.2%) although significantly lower for those in patient-facing (82%) versus non-patient-facing roles (97.5%). Satisfaction with the pharmacy degree programme was high (84.7%). Conclusion While limited to data from one pharmacy school, this study provides the first analysis of graduate career paths over an extended period and highlights the wide-ranging professional possibilities available to graduates. Furthermore, this represents a springboard for additional research to inform pharmacist workforce planning worldwide through career-path evaluation – ultimately aiming to avoid potentially significant implications of shortages in the patient-facing pharmacy workforce.

Neither more nor less: understanding positive emotion of posts and user engagement on tourism social media

ABSTRACT This study investigates how positive emotion in tourism social media posts influences tourists’ user engagement and its underlying mechanisms. Utilizing real-world data from Ctrip travel platform, our research adopts a multi-method approach encompassing archival analysis, survey, and experimental methods to provide robust evidence supporting the role of positive emotion in the tourism posts. Findings suggest a diminishing effect of positive emotion on user engagement. Drawing upon emotions as social information theory, we identify two contrasting mediating pathways: users’ positive affect and perceived persuasive motive. Importantly, mediators exert differential effects at varying levels of emotional expression, collectively contributing to an inverted U-shaped relationship between emotional expression and user engagement. The conclusions offer strategic insights into the emotional expression tactics employed by self-media users when posting, while also serving as a reference for businesses aiming to enhance higher engagement levels among potential tourists.

Analyzing microstructure relationships in porous copper using a multi-method machine learning-based approach

The prediction of material properties from a given microstructure and its reverse engineering displays an essential ingredient for accelerated material design. However, a comprehensive methodology to uncover the processing-structure-property relationship is still lacking. Herein, we develop a methodology capable of understanding this relationship for differently processed porous materials. We utilize a multi-method machine learning approach incorporating tomographic image data acquisition, segmentation, microstructure feature extraction, feature importance analysis and synthetic microstructure reconstruction. Enhanced segmentation with an accuracy of about 95% based on an efficient annotation technique provides the basis for accurate microstructure quantification, prediction and understanding of the correlation of the extracted microstructure features and electrical conductivity. We show that a diffusion probabilistic model superior to a generative adversarial network model, provides synthetic microstructure images including physical information in agreement with real data, an essential step to predicting properties of unseen conditions.

P080 Supporting shared decision-making about osteoporosis medicines: Combining multiple methods to develop the prototype iFraP intervention

Abstract Background/Aims Shared decision-making (SDM) is a joint process in which a person and healthcare professional work together to reach decisions about care. The iFraP (Improving uptake of Fracture Prevention drug treatments) intervention comprises computerised decision aid (DA), Fracture Liaison Service (FLS) clinician training package, and information resources to support SDM about osteoporosis medicines. This abstract details our multi-method approach to develop this intervention. Methods Intervention development was underpinned by the Medical Research Council guidelines for development of complex interventions. Four studies guided intervention prototype development, including (1) an evidence synthesis of existing osteoporosis DAs to examine quality and effectiveness; (2) a review of patient information about osteoporosis to evaluate quality and optimal language for talking about osteoporosis; (3) a Delphi consensus survey with patients, carers, and health professionals to gain consensus on intervention content, informed by an evidence review of relevant clinical guidelines and behavioural theories; (4) and focus groups and interviews with patients recently attending FLS, FLS clinicians and general practitioners (GPs) to explore current FLS practice, and barriers and facilitators to change. Expert stakeholders and public contributors informed each sub-study. Results Studies one and two informed design of the iFraP computerised DA. Evidence reviews of existing osteoporosis DAs and patient information found that they did not meet patient needs and identified poor readability, variable quality, and unbalanced and confusing content. Public contributors preferred DAs which were individualised, and together with expert stakeholders, supported the development of understandable explanations of osteoporosis and osteoporosis medicines to include in iFraP resources. Study three identified essential components of the FLS consultation which directly informed DA content. Study four identified the need for complementary iFraP information resources, training, and potential barriers to iFraP DA use. Patients expressed that they did not feel adequately prepared for their FLS consultation, leading to the development of an enhanced leaflet to accompany their FLS appointment letter. Patients, FLS clinicians, and GPs all expressed the need for a patient-friendly individualised summary of the FLS consultation, to facilitate consistent information across services and reinforce FLS messaging. This finding informed development of the iFraP Bone Health Record, an individualised, easy-read PDF print-out of the iFraP DA. FLS clinicians identified training needs relating to communicating risk, involving patients in decisions and clinical decision-making. Barriers to use included concerns that the DA would increase consultation duration, and that SDM may undermine their goal to facilitate medicine adherence. Identified barriers to use and training needs informed the content and delivery of the interactive eLearning and role play session, with consideration of theoretically-informed behaviour change techniques. Conclusion The iFraP complex intervention development work demonstrates the use of multiple methods to develop an evidence-based and theoretically-driven intervention in-preparation for testing. Disclosure L. Bullock: None. J. Fleming: None. E.M. Clark: None. S. Leyland: None. S. Thomas: Grants/research support; ST owns Prescribing Decision Support Ltd that developed the iFraP decision aid. C. Gidlow: None. T.W. O'Neill: Grants/research support; TON is supported by the NIHR Manchester Biomedical Research Centre. C.P. Iglesias-Urrutia: None. A. Hawarden: Grants/research support; AH is funded by a Versus Arthritis Clinical Research Fellowship (reference 22726). F. Manning: None. J. Protheroe: None. J. Lefroy: None. S. Ryan: None. R. Horne: None. C.D. Mallen: Grants/research support; CM is funded by the NIHR Applied Research Collaboration West Midlands and the NIHR School for Primary Care Research. C. Jinks: Grants/research support; CJ is part funded by NIHR Applied Research Collaboration (ARC) West Midlands. Z. Paskins: Consultancies; ZP has received consultancy fees from UCB Pharma. Grants/research support; ZP is funded by the National Institute for Health Research (NIHR) [Clinician Scientist Award (CS-2018-18-ST2-010)/NIHR Academy].

We’re All Friends Here: Examining Transparasocial Interaction on Twitch and Its Effects on Strategic Communications

Since the COVID-19 pandemic hit America in 2020, the world’s leading video game live streaming platform Twitch.TV has seen explosive growth. Twitch prides itself on the relationship between its streamer-influencers and viewers. Despite the promise Twitch holds for advertisers, it remains an understudied platform. Using the theoretical lens of transparasocial interaction (TPSI), this study investigates Twitch streamers’ relationship with their viewers and the impact on sponsored promotional content using a multi-method approach. The exploratory study uses in-depth interviews to examine how ten Twitch streamers perceive their relationships with viewers, whether that relationship might be expressed in a transparasocial means and how monetization opportunities impact the streamer-viewer relationship. The main study employs a theoretical model to investigate how 316 participants perceive the efforts of a streamer new to them to develop TPSI with viewers, and how those efforts impact responses to sponsored promotion. The study found that as participants perceived a transparasocial relationship between a streamer and their viewers, the participants developed stronger feelings of parasocial interaction with the streamer, which in turn mediated sponsored promotion outcomes from the streamer, even after only one exposure. The authors conclude with theoretical and practical implications.

The development of a framework for clinical education programme of undergraduate nursing students in Ghana

IntroductionClinical education is an important aspect of the training of nursing students but it is faced with challenges in Ghana. The development of a framework will respond to the need for improvement in the quality of clinical nursing education. This study describes part of a larger study which culminated in the development of a framework for a clinical education programme for undergraduate nursing students in Ghana. The aim of the current study was to integrate findings from a scoping review and situational analysis to develop a framework for clinical education in nursing.MethodsA sequential multimethod design approach was used to conduct the study. A scoping review on the practices that facilitate clinical nursing education and situational analysis were first conducted. The lessons learnt from the scoping review and the situational analysis provided the data matrix that was triangulated to develop the framework. The framework was developed using the model for clinical education developed by South African Nursing Education Stakeholders in consultation with experts in nursing education. An implementation plan was developed from the framework and evaluated using a Delphi technique.FindingsThe resulting framework indicates the need for effective communication and collaboration between nursing education institution and the service setting to ensure that there is a well-structured clinical placement, formal supervision system and effective clinical assessment of students. The framework also proposes that to ensure quality clinical nursing education there is the need for Nursing Education Institutions to implement innovative and cost-effective clinical teaching methods.ConclusionThe framework spells out the functions of the various stakeholders in nursing education and how these can be integrated and implemented to enhance quality clinical nursing education. Effectiveness of the thematic areas of the framework will increase the quality of clinical nursing education.

A Multi-Method Approach to the Future of the Scholarship of Teaching and Learning

Since the establishment of the Journal of Political Science Education (JPSE) in 2004, the Scholarship of Teaching and Learning has become more rigorous and data-based, thanks in large part to the efforts of editors, peer-reviewers, and submitters to the journal. Where does the field go from here? I argue that our greatest strengths lie in multimethod approaches. To best understand how to improve teaching and learning in political science, we need to use all of our methodological tools. To illustrate these tools, I provide examples of some of the most-cited pieces in JPSE over the past 20 years, including ones using large-n statistical, experimental, case study, student self-report, qualitative evaluation, and reflective methodologies. I also provide examples of multimethod SoTL work and argue that the best way to move the field forward is to use multiple methodological tools together. Multimethod approaches help us better understand both the teaching problems that are facing the field of political science today and how best to respond to them. For instance, big data can help us understand overall trends, but may hide the individual experiences of students; experiments may reveal causal relationships, but surveys can help us understand how they function in practice. By bringing multiple methodological approaches together, we can get better answers to important questions. The widespread adoption of multimethod SoTL approaches in the future will require rethinking graduate school training, thoughtful research design, and providing intentional collaboration opportunities through conferences and infrastructure.

Ten Seconds Can Last Longer: Prevalence, Impact, and User Perceptions of Food Cues on Snapchat

Obesity is a global health crisis projected to affect one billion people worldwide by 2030. Previous research has emphasized the role of food cues in print media and television as contributing factors to the obesity epidemic. However, the influence of food cues shared by general users on social media platforms, particularly Snapchat, remains largely unexplored. To this end, this paper presents a comprehensive, large-scale study employing a multi-method approach to assess, measure, and mitigate the influence of food cues shared on Snapchat in three different countries with diverse cultural backgrounds: Saudi Arabia, the United States, and France. Our analysis of over 350K collected snaps reveals that food cues are prevalent among Snapchat users, with food content comprising approximately 20% of all collected snaps. Subsequently, we assessed the impact of exposure to Snapchat food content on appetite and examined whether it might inadvertently exacerbate cravings. Our experimental study, involving 37 participants, yields a significant finding: exposure to food snaps leads to a substantial increase in caloric intake. In light of these findings and as an effort to mitigate this impact, this paper sheds light on Snapchat users' perceptions of a proposed intervention design idea, which would allow them to customize their feed and hide food content to potentially reduce their exposure to it. According to our survey of 813 Snapchat users, the majority (57%) indicated they would be willing to hide food-related content from their feeds. In particular, being male and having a high body mass index (BMI) were both associated with a higher willingness to block food content from their Snapchat feed. While food snaps are intended to disappear after 24 hours, our results suggest that their impact can have a long-lasting effect on health and wellness.

The Role of the Spatial Network in Urban Disaster Risk Variations: Reimagining the Notion of Spatial Vulnerability at the Urban Scale

AbstractThe notion of “spatial vulnerability” is present in most disaster studies with a strong geographical connotation and accordingly is adopted at all scales, including the urban. While enabling mapping and visualizing risk patterns at macroscales, this geocentric foundation fails to capture disaster risk dynamics associated with the urban spatial network—an element that plays a significant role in the everyday and emergency functioning of cities, enabling users’ movement and interaction. Yet, urban vulnerability assessment overlooks this aspect and thus leaves urban disaster risk mechanisms partially unexplored. This study investigated the role of the network of urban public open spaces (UPOS) in the creation and progression of urban disaster risk in earthquake-prone settlements. Through a multimethod approach that integrates quantitative and qualitative methods and explores spatial configuration, planning policies, and practices of use of UPOS in everyday and emergency scenarios, our study demonstrated that UPOS configuration plays an active role in urban disaster risk. Urban public open spaces impact risk by influencing the exposure of pedestrians and their capacity for self-protection. The study further reconceptualized spatial vulnerability at the urban scale, as the fraction of vulnerability associated to the spatial network, highlighting the interplay of planning policies and spatial practices in its production and progression. Our findings make the notion of spatial vulnerability less ambiguous at the urban scale, by viewing the variable as an imbalance in capacities and exposure that generates spatially unsafe conditions. This refined conceptualization of spatial vulnerability becomes a lens for a more granular approach to urban disaster risk reduction and city planning by identifying and integrating sociospatial considerations.