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Shifting point of view and imagining alternative scenarios can be considered crucial goals of every therapeutic path. Reframing is aimed at stimulating other hypotheses and new viewpoints of the same situation and at adding complexity to one's own and to the others' world images. An interesting aspect to be investigated is the linguistic mechanisms through which this reframing can be enacted. Our work has an interdisciplinary focus and can be staged in between theories and techniques of psychotherapy on the one side and argumentation theory on the other side. The aim of this contribution was to explore the potential role that concessive counter‐argumentation plays in amplifying and redefining patients' framing. Our study consists of an in‐depth single‐case analysis based on two psychotherapeutic sessions. The analysis comprises different steps: first, we identified the concessive sentences in the transcriptions of the psychotherapy sessions and we considered them as counter‐argumentations; second, we identified the two parts of the concessive counter‐argumentations; third, we identified the inferences that could be drawn from these two parts; and finally, we reconstructed the contextual framing that was enacted and endorsed by both the patient and the therapist. The findings show that both the therapist's and the patient's concessive counter‐argumentations help in detecting key passages of sessions that open new, previously unimagined scenarios, thereby also contributing to clinical theory. [ABSTRACT FROM AUTHOR]

Robots are widely used in surgeries worldwide. To improve robotic surgical treatments, we established a database of clinical applications and research on surgical robots. Robotics-related literature included in the China national knowledge infrastructure (CNKI), Wanfang, Vipshop, Chinese science citation database (CSCD), Web of Science, EMBASE, PubMed, and Cochrane databases up to September 2022 was searched and entered into the database. Information on all patients who had undergone robotic surgery at our hospital since 2016 was also included. Literature and case information was classified and evaluated according to standard guidelines and statements. The Gansu Provincial Hospital was the first to use evidence-based medical research methods to successfully establish a database of clinical applications and research on surgical robots. This database comprised literature search, upload, quality evaluation, risk of bias assessment, case information entry, and access functions. Based on the database, we conducted related studies in general surgery, gynecology, urology, thoracic surgery, and cardiovascular surgery, and published 16 meta-analyses and 15 clinical studies. Establishing this database removes language, retrieval, and evaluation barriers in clinicians' use of clinical evidence and lays the foundation for the efficient and accurate use of clinical data for future research. Further, it facilitates evidence-based evaluation of the effectiveness of robotic therapy, which may guide future medical practice. This typical case of interdisciplinary research aims to build a platform to disseminate knowledge and technology in robotic surgery. [ABSTRACT FROM AUTHOR]

Recommender systems can strongly influence which information we see online, e.g., on social media, and thus impact our beliefs, decisions, and actions. At the same time, these systems can create substantial business value for different stakeholders. Given the growing potential impact of such AI-based systems on individuals, organizations, and society, questions of fairness have gained increased attention in recent years. However, research on fairness in recommender systems is still a developing area. In this survey, we first review the fundamental concepts and notions of fairness that were put forward in the area in the recent past. Afterward, through a review of more than 160 scholarly publications, we present an overview of how research in this field is currently operationalized, e.g., in terms of general research methodology, fairness measures, and algorithmic approaches. Overall, our analysis of recent works points to certain research gaps. In particular, we find that in many research works in computer science, very abstract problem operationalizations are prevalent and questions of the underlying normative claims and what represents a fair recommendation in the context of a given application are often not discussed in depth. These observations call for more interdisciplinary research to address fairness in recommendation in a more comprehensive and impactful manner. [ABSTRACT FROM AUTHOR]

Recently, the rapid progress of deep learning techniques has brought unprecedented transformations and innovations across various fields. While neural network-based approaches can effectively encode data and detect underlying patterns of features, the diverse formats and compositions of data in different fields pose challenges in effectively utilizing these data, especially for certain research fields in the early stages of integrating deep learning. Therefore, it is crucial to find more efficient ways to utilize existing datasets. Here, we demonstrate that the predictive accuracy of the network can be improved dramatically by simply adding supplementary multi-frequency inputs to the existing dataset in the target spectrum predicting process. This design methodology paves the way for interdisciplinary research and applications at the interface of deep learning and other fields, such as photonics, composite material design, and biological medicine. [ABSTRACT FROM AUTHOR]

This study delves into a bibliometric analysis of ChatGPT, an AI tool adept at analysing and generating text, highlighting its influence in the realm of social sciences. By harnessing data from the Scopus database, a total of 814 relevant publications were selected and scrutinised through VOSviewer, focusing on elements such as co-citations, keywords and international collaborations. The objective is to unearth prevailing trends and knowledge gaps in scholarly discourse regarding ChatGPT's application in social sciences. Concentrating on articles from the year 2023, this analysis underscores the rapid evolution of this research domain, reflecting the ongoing digital transformation of society. This study presents a broad thematic picture of the analysed works, indicating a diversity of perspectives—from ethical and technological to sociological—regarding the implementation of ChatGPT in the fields of social sciences. This reveals an interest in various aspects of using ChatGPT, which may suggest a certain openness of the educational sector to adopting new technologies in the teaching process. These observations make a contribution to the field of social sciences, suggesting potential directions for future research, policy or practice, especially in less represented areas such as the socio-legal implications of AI, advocating for a multidisciplinary approach. [ABSTRACT FROM AUTHOR]

Introduction. In Aotearoa New Zealand (NZ), type 2 diabetes (T2D) is predominantly managed in primary care. Despite established guidelines, patients are often suboptimally managed, with inequitable health outcomes. To date, few NZ studies have evaluated the primary care management of T2D at the time of diagnosis. Aim. This study aims to explore the provision of education and delivery of care to patients at the time of diagnosis, which is a crucial time in the disease trajectory. Methods. Participants were recruited from a Māori health provider in the Waikato District, and diagnosed with T2D after January 2020. Patients were texted a link to opt into a survey (larger study) and then registered interest by providing contact details for an interview (current study). Semi-structured interviews were conducted and were audio recorded, transcribed, and thematically analysed. Results. In total, 11 participants aged 19-65 years completed the interviews (female n = 9 and male n = 20); the comprised Māori (n = 5), NZ European (n = 5) and Asian (n = 1) participants. Three overarching themes were identified, including: (1) ineffective provision of resources and education methods; (2) poor communication from healthcare practitioners; and (3) health system barriers. Discussion. Evidently, there are difficulties in primary care diabetes mellitus diagnosis and management. Improvements could include locally relevant resources tailored to patients' experiences and cultural identities. Utilising whānau support and a non-clinical workforce, such as health navigators/kaiāwhina, will drastically address current workforce issues and assist patient self-management. This will allow improved diagnosis experiences and better health outcomes for patients and whānau. [ABSTRACT FROM AUTHOR]

Collaborative partnerships between criminal justice agencies and universities offer several benefits for all involved. This article describes an interdisciplinary researcher-practitioner partnership between the Will County Problem-Solving Courts and the University of St. Francis's Departments of Criminal & Social Justice and Social Work. Collaborators reflect on the mutually beneficial relationship that produced policy-informed research, new internships, and enriched classroom experiences. The collaboration also encountered challenges such as staff turnover, COVID-19, and access to data. Finally, we encourage others to engage in collaborative efforts and provide recommendations to inform future partnerships on building and sustaining researcher-practitioner collaborations. [ABSTRACT FROM AUTHOR]

This article explores the challenges of continuum and magnetic soft robotics for medical applications, extending from model development to an interdisciplinary perspective. First, we established a unified model framework based on algebra and geometry. The research progress and challenges in principle models, data-driven, and hybrid modeling were then analyzed in depth. Simultaneously, a numerical analysis framework for the principle model was constructed. Furthermore, we expanded the model framework to encompass interdisciplinary research and conducted a comprehensive analysis, including an in-depth case study. Current challenges and the need to address meta-problems were identified through discussion. Overall, this review provides a novel perspective on understanding the challenges and complexities of continuum and magnetic soft robotics in medical applications, paving the way for interdisciplinary researchers to assimilate knowledge in this domain rapidly. [ABSTRACT FROM AUTHOR]

Nowadays, virtually all discussions of social relevance involve actors negating the scientific consensus and disrupting the public discourse with so-called alternative facts. So far, this phenomenon, referred to as denialism, has encompassed different meanings and definitions that vary depending on the field of application, thereby making correct usage difficult. This paper therefore aims to develop an understanding of denialism by examining how the existing interdisciplinary literature is defining the term. Using an integrative systematic literature analysis, the interdisciplinary field of research is examined. This allows not only for the derivation of a definition of denialism but also for the identification and categorisation of denialist actors and the discussion of potential coping strategies. Finally, the definition integrated in this paper describes denialism from a communication studies point of view as a phenomenon that is characterised by the use of certain rhetorical tactics, a systematic and targeted approach, and an underlying motivation. [ABSTRACT FROM AUTHOR]

Global challenges, such as climate change, persistent poverty, and food insecurity are complex problems. These societal, environmental, and economic challenges cross scientific disciplines, communities, and geographies, requiring interdisciplinary, North–South solutions. Nevertheless, prevailing sustainability science responses are Western-centric. Some seminal studies have attempted to understand and engage with diverse knowledge systems. These include decolonial and Indigenous methodologies, such as "Two-Eyed Seeing", which emphasizes the importance of using both Western and Indigenous knowledge to gain a more comprehensive understanding of the world, and participatory action research, which highlights the importance of involving participants in the research process and promoting social change through collaborative effort. However, apart from in-country research collaborations with traditional Indigenous knowledge, most North–South studies overlook the role or influence of Western-centric views and therefore fail to recognize and incorporate diverse worldviews and knowledge systems. This may, in part, reflect the tendency to categorize research into disciplinary silos, but more likely is the unintentional, yet prevalent, view that Western science is "objective and neutral." As more scholars from multiple disciplines and geographies focus on interdisciplinary North–South research, it is critical that researchers reflect on dominant research approaches and knowledge production. Studies can co-construct, reproduce, or control the forms of knowledge generated—whether intentional or unintentional. This paper presents an organizing framework to help researchers navigate, understand, and engage with diverse forms of knowledge in undertaking North–South research. The framework draws on empirical observations from the authors' interdisciplinary research and from empirical cross-cultural literature. It comprises three contextual levels of influence, featuring guiding principles and subsequent practical actions researchers can use to navigate the complexities of knowledge co-construction in North–South research. [ABSTRACT FROM AUTHOR]

Interdisciplinary research on people, plants, and environmental change (IRPPE) typically requires collaboration among experts who each bring distinct knowledge and skills to bear on the questions at hand. The benefits and challenges of interdisciplinary research in principle are thus confounded by the dynamics of multidisciplinary collaboration in practice. However, broadly trained researchers can do IRPPE with little or no need of collaborators. For them, collaborative challenges may be negligible, but others arise. This paper reflects on experiences doing (mostly) solo research on peoples' use of trees and their impacts on forests in the Caribbean and Philippines. Multidisciplinary collaborations are often plagued with problems of communication, theoretical disagreement, and methodological incompatibility because the habits and conceits of a rigorous disciplinary education are difficult to undo. These are problems that novel concepts, theory, and analytical frameworks promise but often fail to resolve. By contrast, going solo fosters an epistemic humility and pragmatic sensibility that encourages focused, efficient application of methods, and integration of research findings. Epistemic breadth encourages solo IRPPE researchers to apply theory sparingly and deploy clear concepts and precise analyses of the kind readily grasped by natural and social scientists and policy makers, alike. [ABSTRACT FROM AUTHOR]

Distributed solar generation (DSG) has been growing over the previous years because of its numerous advantages of being sustainable, flexible, reliable, and increasingly affordable. DSG is a broad and multidisciplinary research field because it relates to various fields in engineering, social sciences, economics, public policy, and others. Developing a holistic understanding of the state of research related to DSG can be difficult. Motivated to provide that understanding, the goal of this paper is to explore current and emerging multidisciplinary research trends associated with DSG. To achieve that, (1) a large data set of approximately 66,000 publications was collected; (2) the papers were labeled using keywords for topics including "Batteries and Storage," "Solar," "Complex Modeling," "Machine Learning (ML) and Artificial Intelligence (AI)," "Resilience, Vulnerability, and Disasters," "Policies and Incentives," "Social Aspects," "Economics," "Smart Grid," "Finance," "Social Equity," "Microgrid," and "Virtual Power Plant"; and (3) the data set was analyzed using scientometric and social network analysis (SNA) in respect to publication counts, citation counts, and interconnectivity between the topics. Notable findings were analyzed to describe current and emerging trends. It was found that social equity has high citation counts contrasted by few publications, indicating a possible strong need for research. There is also rapidly growing research in ML and AI in the context of DSG during recent years. Other research topics, such as smart grids, have been attracting fewer publications. The results also highlight the need for multidisciplinary research connecting the topics. To conclude, future research is suggested to explore research needs in the areas of social aspects, social justice and equity, public policy and incentives, and ML/AI. The findings should benefit researchers and stakeholders with a holistic understanding of multidisciplinary DSG-related research and provide insight for planning new research and funding opportunities. [ABSTRACT FROM AUTHOR]

The article considers writing for an academic publication as a marathon training that takes years of learning. Emphasis is given on the need to consider one's field of work, research themes in the discipline, interdisciplinary boundaries in the field of work that are attracting funding and collaborative working, players and institutions that develop research themes. It calls for understanding the journals, their editorial boards, publications, approach and theoretical and empirical preferences.

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Copyright of Buca Faculty of Education Journal / Buca Egitim Fakültesi Dergisi is the property of Buca Faculty of Education Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article emphasizes the importance of recognizing the diversity within small businesses and the need for industrial-organizational (I-O) researchers to consider various factors such as business size, owner characteristics, and reasons for entering business ownership. Topics include the challenges of interdisciplinary research, the importance of reviewing existing small business literature, and the potential overlap between small business leadership and I-O leadership constructs.

Abstract Global climate change is often thought of as a steady and approximately predictable physical response to increasing forcings, which then requires commensurate adaptation. But adaptation has practical, cultural and biological limits, and climate change may pose unanticipated global hazards, sudden changes or other surprises–as may societal adaptation and mitigation responses. These poorly known factors could substantially affect the urgency of mitigation as well as adaptation decisions. We outline a strategy for better accommodating these challenges by making climate science more integrative, in order to identify and quantify known and novel physical risks including those arising from interactions with ecosystems and society. We need to do this even–or especially–when they are highly uncertain, and to explore risks and opportunities associated with mitigation and adaptation responses by engaging across disciplines. We argue that upcoming climate assessments need to be more risk‐aware, and suggest ways of achieving this. These strategies improve the chances of anticipating potential surprises and identifying and communicating “safe landing” pathways that meet UN Sustainable Development Goals and guide humanity toward a better future.

Understanding the molecular and physical complexity of the tissue microenvironment (TiME) in the context of its spatiotemporal organization has remained an enduring challenge. Recent advances in engineering and data science are now promising the ability to study the structure, functions, and dynamics of the TiME in unprecedented detail; however, many advances still occur in silos that rarely integrate information to study the TiME in its full detail. This review provides an integrative overview of the engineering principles underlying chemical, optical, electrical, mechanical, and computational science to probe, sense, model, and fabricate the TiME. In individual sections, we first summarize the underlying principles, capabilities, and scope of emerging technologies, the breakthrough discoveries enabled by each technology and recent, promising innovations. We provide perspectives on the potential of these advances in answering critical questions about the TiME and its role in various disease and developmental processes. Finally, we present an integrative view that appreciates the major scientific and educational aspects in the study of the TiME.

Emerging contaminants (ECs) are a diverse group of unregulated pollutants increasingly present in the environment. These contaminants, including pharmaceuticals, personal care products, endocrine disruptors, and industrial chemicals, can enter the environment through various pathways and persist, accumulating in the food chain and posing risks to ecosystems and human health. This comprehensive review examines the chemical characteristics, sources, and varieties of ECs. It critically evaluates the current understanding of their environmental and health impacts, highlighting recent advancements and challenges in detection and analysis. The review also assesses existing regulations and policies, identifying shortcomings and proposing potential enhancements. ECs pose significant risks to wildlife and ecosystems by disrupting animal hormones, causing genetic alterations that diminish diversity and resilience, and altering soil nutrient dynamics and the physical environment. Furthermore, ECs present increasing risks to human health, including hormonal disruptions, antibiotic resistance, endocrine disruption, neurological effects, carcinogenic effects, and other long-term impacts. To address these critical issues, the review offers recommendations for future research, emphasizing areas requiring further investigation to comprehend the full implications of these contaminants. It also suggests increased funding and support for research, development of advanced detection technologies, establishment of standardized methods, adoption of precautionary regulations, enhanced public awareness and education, cross-sectoral collaboration, and integration of scientific research into policy-making. By implementing these solutions, we can improve our ability to detect, monitor, and manage ECs, reducing environmental and public health risks.

Interdisciplinary research is a promising approach with which to generate innovative solutions to real-world problems and create social value, yet it is a risky choice for early career academics (ECAs). This essay outlines the risks and rewards associated with interdisciplinary scholarship within the context of business schools. We use structuration theory as a guiding framework to identify how institutional structures can constrain the agency and interdisciplinary aspirations of ECAs and others who do not fit within the current narrow definitions of disciplinary excellence. Sharing examples from the authors’ journeys as ECAs from different disciplinary backgrounds who study leadership and management through interdisciplinary approaches, we identify four challenges to interdisciplinarity that ECAs face and propose four corresponding solutions at both the individual and structural levels. Our goal is to inform, inspire, and engage ECAs who want to pursue interdisciplinary research, while encouraging senior scholars, department chairs, and deans to foster interdisciplinarity in their departments and schools. We urge individual ECAs to be proactive in managing their promotion and tenure process, and departments to develop a more flexible understanding and evaluation of interdisciplinary scholarship. [ABSTRACT FROM AUTHOR]

Based on ethnographic research of 100 speculative fiction creators and fans in nine Latin American countries, this article describes the contemporary social role of genre and its communities of practice. Identifying the intersection of the genre's self-organization and political intent in the region as genre infrastructure, the article argues that it constitutes a socially regenerative collectivity and speculative method. Lastly, it discusses the potential of these efforts to enact change as a new form of political imagination within the globally emerging culture of CoFuturisms. Because of the way cognition is socially distributed, this article argues that CoFuturisms can operate as political-aesthetic subjectivities that intervene in the failure to conceive and enact different presents and futures., The trip is relatively simple for Sao Paulo's standards. Take the subway to one of the last stations in the north zone of the megalopolis, then use an app to [...]

Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation. However, there is still a paucity of analysis about the essential characteristics of disciplines’ cross-disciplinary impact.

The article commemorates British linguist Gunther Kress's impact on the field of semiotics and multimodality through a special issue dedicated to his work. Topics discussed include the evolution of Kress's ideas on meaning-making, the shifting focus from linguistic to semiotic concerns, and the ongoing critique and extension of multimodal concepts such as mode, affordance, and agency.

PURPOSE This study marks the 50th anniversary of NAPCRG (formerly the North American Primary Care Research Group) by examining social connections among members. METHODS This descriptive social network analysis was conducted via the Program to Analyze, Record, and Track Networks to Enhance Relationships (PARTNER) survey tool. RESULTS Responses from 906 participants resulted in 1,721 individuals with 5,196 partner relationships. Most relationships (60%) were characterized as having an integrated level of collaboration. Many relationships led to a research paper (58%) or a grant (34%). CONCLUSIONS This social network analysis of NAPCRG members' relationships described over 5,000 relationships, many producing publications, grants, and perceived advancements in primary care. [ABSTRACT FROM AUTHOR]

This study aims to conduct interdisciplinary research using computerized solutions to inventive problems in fluidics. The chosen direction of work relates to the scientific search for new opportunities for extremal control of the thrust vector within a complete geometric sphere (with the range of rotation angle change for the thrust vector being ±180° in any direction). This study assesses the prospects for the emergence of patentable innovative solutions for maneuverable unmanned vehicles. One of the most urgent tasks is to increase the process efficiency in forming fluid medium flow, expanding opportunities for controlling this flow parameter. The research uses an interdisciplinary approach with simulation modeling. The authors of the paper reveal new possibilities for using an ejector with two curved mixing chambers to create special jet units. Calculations (CFD) have confirmed the performance of the simulator ejector when controlling the thrust vector with 90° and 180° rotation. Manufacturing physical micromodels used additive technologies to allow simulation modeling under laboratory conditions. Using “data mining” methods, it was shown for the first time that, based on Euler’s ideas and methodology, it is possible to create a new methodology for teaching and solving inventive problems. The research results apply to power engineering and unmanned vehicles. Some results of scientific studies can be used to create special computer programs working together with artificial intelligence to create advanced techniques and technologies. Doi: 10.28991/HIJ-2023-04-04-01 Full Text: PDF

Although interdisciplinary research has garnered extensive attention in academia, its core knowledge structure has yet to be systematically explored. To address this gap, this study aims to uncover the underlying core knowledge topics within interdisciplinary research, enabling researchers to gain a deeper understanding of the knowledge framework, improve research efficiency, and offer insights for future inquiries. Based on the Web of Science (WoS) database, this study collected 153 highly cited papers and employed the LDA topic model to identify latent topics and extract the knowledge structure within interdisciplinary research. The findings indicate that the core knowledge topics of interdisciplinary research can be categorized into four major areas: the knowledge framework and social impact of interdisciplinary research, multidisciplinary approaches in cancer treatment and patient care, Covid-19 multidisciplinary care and rehabilitation, and multidisciplinary AI and optimization in industrial applications. Moreover, the study reveals that AI-related interdisciplinary research topics are rapidly emerging. Through an in-depth analysis of these topics, the study discusses potential future directions for interdisciplinary research, including the cultivation and development of interdisciplinary talent, evaluation systems and policy support for interdisciplinary research, international cooperation and interdisciplinary globalization, and AI and interdisciplinary research optimization. This study not only uncovers the core knowledge structure of interdisciplinary research but also demonstrates the effectiveness of the LDA topic model as a data mining tool for revealing key topics and trends, providing practical tools for future research. However, this study has two main limitations: the time lag of highly cited papers and the dynamic evolution of interdisciplinary research. Future research should address these limitations to further enhance the understanding of interdisciplinary research.

Perovskite nickelates belong to a family of strongly correlated materials, which have drawn broad attention due to their thermally induced metal-to-insulator transition. Recent discoveries show that orbital filling mediated by ion intercalation can trigger a colossal non-volatile conductivity change in nickelates. The coupling and interaction between two types of charge carriers (i.e., ions and electrons) enable nickelate as an exotic mixed conductor for electronic, biological, and energy applications. In this Perspective, we first summarize the fundamentals and recent progresses in the manipulation of ground states of perovskite nickelates by controlling orbital filling via ion intercalation. Then, we present a comprehensive overview of perovskite nickelate as a unique platform for vast cutting-edge research fields, including neuromorphic computing, bio-electronic interfaces, as well as electrocatalysis applications by taking advantage of such electron-filling-controlled modulation phenomena. Finally, we provide an overview of future perspectives and remaining challenges toward the exploitation and commercialization of quantum nickelates for future multidisciplinary research. [ABSTRACT FROM AUTHOR]

Background Identifying hate speech (HS) is a central concern within online contexts. Current methods are insufficient for efficient preemptive HS identification. In this study, we present the results of an analysis of automatic HS identification applied to popular alt-right YouTube videos. Methods This essay describes methodological challenges of automatic HS detection. The case study concerns data on a formative segment of contemporary radical right discourse. Our purpose is twofold. (1) To outline an interdisciplinary mixed-methods approach for using automated identification of HS. This bridges the gap between technical research on the one hand (such as machine learning, deep learning, and natural language processing, NLP) and traditional empirical research on the other. Regarding alt-right discourse and HS, we ask: (2) What are the challenges in identifying HS in popular alt-right YouTube videos? Results The results indicate that effective and consistent identification of HS communication necessitates qualitative interventions to avoid arbitrary or misleading applications. Binary approaches of hate/non-hate speech tend to force the rationale for designating content as HS. A context-sensitive qualitative approach can remedy this by bringing into focus the indirect character of these communications. The results should interest researchers within social sciences and the humanities adopting automatic sentiment analysis and for those analysing HS and radical right discourse. Conclusions Automatic identification or moderation of HS cannot account for an evolving context of indirect signification. This study exemplifies a process whereby automatic hate speech identification could be utilised effectively. Several methodological steps are needed for a useful outcome, with both technical quantitative processing and qualitative analysis being vital to achieve meaningful results. With regard to the alt-right YouTube material, the main challenge is indirect framing. Identification demands orientation in the broader discursive context and the adaptation towards indirect expressions renders moderation and suppression ethically and legally precarious.

Interdisciplinary research at the intersection of physics, biology, and chemistry is attracting increasing interest and generating many innovative ideas. One example is the application of Raman spectroscopy to biological and [...]

In this commentary, we reflect on our experiences of working together on an interdisciplinary project in which, despite our different disciplinary backgrounds, we share many overlapping research interests around themes of marginalisation, inclusion, and well-being. We consider how the labelling of people as consumers raises interesting questions about the often taken-for-granted nature of disciplinary language, and look at how researchers must balance idealistic and pragmatic concerns through processes of applying for funding, conducting research, and publishing findings. Whilst interdisciplinarity offers many benefits, it may also present challenges for early career researchers trying to establish themselves in academia. Furthermore, through combining feminist and CCT perspectives, we question what kinds of activities are valued in assessing the social impact of marketing and consumer research. [ABSTRACT FROM AUTHOR]

Background: Diarrhea remains a leading cause of childhood illness throughout the world that is increasing due to climate change and is caused by various species of ecologically sensitive pathogens. The emerging Planetary Health movement emphasizes the interdependence of human health with natural systems, and much of its focus has been on infectious diseases and their interactions with environmental and human processes. Meanwhile, the era of big data has engendered a public appetite for interactive web-based dashboards for infectious diseases. However, enteric infectious diseases have been largely overlooked by these developments. Methods: The Planetary Child Health & Enterics Observatory (Plan-EO) is a new initiative that builds on existing partnerships between epidemiologists, climatologists, bioinformaticians, and hydrologists as well as investigators in numerous low- and middle-income countries. Its objective is to provide the research and stakeholder community with an evidence base for the geographical targeting of enteropathogen-specific child health interventions such as novel vaccines. The initiative will produce, curate, and disseminate spatial data products relating to the distribution of enteric pathogens and their environmental and sociodemographic determinants. Discussion: As climate change accelerates there is an urgent need for etiology-specific estimates of diarrheal disease burden at high spatiotemporal resolution. Plan-EO aims to address key challenges and knowledge gaps by making and disseminating rigorously obtained, generalizable disease burden estimates. Pre-processed environmental and EO-derived spatial data products will be housed, continually updated, and made publicly available for download to the research and stakeholder communities. These can then be used as inputs to identify and target priority populations living in transmission hotspots and for decision-making, scenario-planning, and disease burden projection. Study registration: PROSPERO protocol #CRD42023384709. [ABSTRACT FROM AUTHOR]

High levels of confusion persist around the term "algorithm" in general; and in addition to this, there is also conceptual confusion around the application of algorithms to human resource management (HRM) strategy and functions. Although there are several systematic reviews of various algorithmic applications to HRM and many of its functions, no comprehensive evolutionary map of the emergent field of algorithmic HRM (AHRM) could be found in the academic literature. This study has dual aims. The first is to provide conceptual clarity for the field of AHRM, and the second is to map the evolution of AHRM from 2000 to 2022. To address the first aim, we conduct a multidisciplinary synthesis of the concepts related to algorithms which results in a General Framework for Algorithmic Decision-Making. This framework then informs the empirical part of the study which addresses the second aim. A science mapping review is employed to chart and assess the extant literature on algorithmic HRM from 2000 to 2022. This study presents a General Framework for Algorithmic Decision-Making across all business functions and then a Framework for Algorithmic AHRM Tools. This provides conceptual clarity and distinguishes between automated and augmented HR decision-making. Findings also reveal the multidisciplinary nature of this emergent field of inquiry and point to current research, which focuses on specialized applications for HR functions such as workforce planning, learning and development, allocation and scheduling, and recruitment; but lacks emphasis on more integrative strategic HRM contexts. The study also has implications for organizational strategic decision-making. HR practitioners may need to form project teams with their information technology (IT) and data analyst colleagues when making strategic decisions about algorithmic applications for HR strategy and HR functions. This also lends itself to future research with multidisciplinary research teams including HR researchers along with computer scientists, computational engineers, and data analysts. [ABSTRACT FROM AUTHOR]

Background: Many hospitals worldwide have set up multidisciplinary Value Improvement (VI) teams that use the Value-Based Health Care (VBHC) theory to improve patient value. However, it remains unclear what the level of VBHC implementation is within these teams. We therefore studied the current level of VBHC implementation in VI teams. Methods: A questionnaire was developed based on the strategic agenda for value transformation and real-world experiences with VBHC implementation. The questionnaire consisted of 21 questions, mapped to seven domains, and was sent out to 25 multidisciplinary VI teams. Median scores for individual questions (scale = 1–5) and average scores per domain were calculated. Results: One hundred forty VI team members completed the questionnaire. The overall average score is 3.49. The 'culture and responsibility' domain obtained the highest average score (µ = 4.11). The domain 'measure and improve outcomes' and the domain 'multidisciplinary team' obtained average scores that are slightly higher than the overall average (µ = 3.78 and µ = 3.76 respectively), and the domains 'strategy and organizational policy,' 'collaboration and sharing,' and 'IT and data' scored a little below the overall average (µ = 3.41, µ = 3.32, and µ = 3.29 respectively). The domain 'costs and reimbursement' obtained the lowest average score (µ = 2.42) of all domains, indicating that the implementation of this particular aspect of VBHC remains lagging behind. Conclusions: Our results indicate activity in each of the questionnaire domains. To bring VBHC implementation to the next level, more attention should be given to the financial aspects. Our questionnaire can be used in future studies to identify improvements or differences within VI teams. [ABSTRACT FROM AUTHOR]