Role Of Experts Research Articles

A Scoping Study of Cultural Adaptation Frameworks

Translating evidence-based intervention in public health is important to improve health behaviors and other outcomes and reduce health disparities. Culturally adapting intervention is one approach to reaching different cultural groups. The goals of this paper were to compile definitions of program adaptations, identify processes and steps in cultural adaptations, and pose recommendations for future research related to cultural adaptations. We performed a scoping review of cultural adaptation frameworks or models for public health. Studies were coded for definitions of adaptation, cultural adaptation, other cultural concepts, process steps, community engagement, and public health topic. We found 15 frameworks that described cultural adaptation concepts and processes, and nine had varying definitions of cultural adaptations. All frameworks included tasks of information gathering about the community and developing a preliminary adapted program; over 50% had making refinements to the adapted program after some pilot testing. Only one framework mentioned the role of experts in the adaptation or enhancement process, and one mentioned dissemination. Thirteen articles (86.7%) reported the inclusion of community engagement in the adaptation process. These data present key definitions related to cultural adaptation and themes related to the process of cultural adaptation. We also report on key steps for conducting cultural adaptations. Findings can be utilized to guide future adaptations of evidence-based interventions to ensure culturally competent research and practice.

Artificial Intelligence in SAP S/4HANA: Transforming Enterprise Resource Planning through Intelligent Automation

This comprehensive article investigates the transformative impact of AI-enhanced SAP S/4HANA Finance across healthcare, manufacturing, scientific research, auto, food & Oil &Gas sectors, focusing on human-AI collaboration patterns and implementation outcomes. Through a mixed-methods approach analyzing 15 organizations over 18 months, the research examines how AI integration transforms traditional ERP functionalities into intelligent financial management systems. The article collected data from 450 end-users and 45 key stakeholders, employing both quantitative metrics and qualitative assessments to evaluate implementation patterns, challenges, and success factors. The findings reveal significant improvements across all sectors: healthcare organizations achieved 40% reduction in billing processing time and 15% improvement in collection rates; manufacturing entities realized 35% reduction in unplanned downtime and 22% decrease in working capital requirements; while research institutions demonstrated 45% faster grant processing and 35% improved budget forecasting accuracy. The article introduces the Adaptive Financial Intelligence Framework (AFIF) for conceptualizing human-AI collaboration in financial management, contributing to both theoretical understanding and practical implementation strategies. The article concludes that successful AI integration depends on industry-specific adaptations, comprehensive training programs, and robust governance frameworks while highlighting the critical role of human expertise in maximizing system benefits. These findings provide valuable insights for organizations pursuing AI-enhanced financial management solutions while offering a roadmap for future developments in human-AI collaboration within enterprise systems.

The application of template matching and novel unsupervised and supervised machine learning methodology to forensic hair analysis

ABSTRACT Hair pigmentation is a valuable feature in forensic hair analysis and hair comparisons. Microscopic pigmentation features from participants' hair were classified and documented. The discriminating power of template matching, unsupervised and supervised machine learning methods were compared to determine which method best distinguished between participants and accurately assigned hairto an individual, based on pigmentation features. Template matching analysis revealed a higher frequency of inter-person matches compared to intra-person matches, and the unsupervised model’s predicted labels did not align with true labels. These findings suggest the presence of an unknown dimensionality beyond the observable pigmentation features used in forensic hair classification, highlighting the crucial role of forensic expertise. In contrast, supervised machine learning demonstrated superior accuracy and greater interpretability due to its training on labelled data, making it more appropriate for forensic applications. This research underscores the continued importance of human expertise, particularly in the initial classification of training data for supervised machine learning. The potential applications of supervised machine learning in forensic science include training, competency testing and rapid intelligence as a novel and innovative tool while advancing the field towards more objective methodologies.

Seeking Asylum in the United States: Intersectional Analysis of the Experiences of Transgender Women from the Central American Northern Triangle

The Northern Triangle countries, including El Salvador, Guatemala, and Honduras, are sources of a significant number of asylum seekers in the United States today. This article examines the underlying societal dynamics in these countries and considers the typical profile of transgender immigrant women seeking asylum in the U.S. on the legal grounds of having faced gender-based violence in their countries of origin. It analyzes the relevant international conventions as well as the social determinants of the health and mental health of transgender asylum seekers. It draws from 35 cases of transgender immigrant women subjected to child sexual abuse; sexual assault, including assault by police; and forced sex work; it reviews examples from the academic and gray literature, including a precedent-setting case heard before the Inter-American Court on Human Rights. It discusses the implications for social science professionals, including the role of experts of country conditions. It provides guidance for immigrant service providers and advocates, particularly the importance of gender-affirming policies and healthcare to this population deserving of protection.

Special section introduction: epistemic politics in international and comparative political economy

ABSTRACT Economic orthodoxy has faced multiple challenges over recent years, ranging from the global financial crisis and economic populism to the Covid-19 pandemic and the spectre of stagflation. This has generated significant policy innovations, like quantitative easing and the furlough schemes, while heterodox economic ideas (briefly) gained notoriety. Yet these shifts have frequently been grafted onto pre-existing institutional and discursive templates, anchored by the assumption that they represent a temporary deviation from ‘normal’ equilibrium conditions. To make sense of these dynamics of crisis, change and continuity, this special section showcases an ‘epistemic politics’ approach that foregrounds the political life of economic knowledge. It is framed around three questions. What has been the role of economic knowledge and expertise in shaping policy and regulation over the past decade? To what extent have dominant economic ideas, theories and models been impacted by political conflicts and emergent issues? How have policy makers navigated economic crises and uncertainty through cognitive and discursive practices? This introductory paper sets out the ambition for the special section by defining our understanding of epistemic politics, before detailing the threefold contribution it makes to wider scholarship in IPE and CPE. It concludes with an overview of the five papers.

Developing new Learning Developers: survey results and roadmap

Did you know that only 7.7% of new Learning Developers are taught how to conduct a one-to-one tutorial, and only 38.5% are taught how to lead a workshop? (all data according to our survey: Coulson & Crofts, 2023). Despite this, nearly half (45.6%) of new Learning Developers have had the opportunity to complete a Postgraduate Certificate (PG Cert) in Teaching in Higher Education, which is not tailored for such an expert role. Kate and Matt met at #ALDCon23 in Portsmouth and discussed how new community members develop their expertise. Matt is a new Learning Developer, and Kate has worked in Learning Development for over a decade; they recognised that there was a gap in the ALDinHE CPD provision and agreed to find out if this was true. This presentation outlined the results of a survey they designed and shared with the ALDinHE community in November 2023. This online survey asked new and established Learning Developers about their experiences of CPD, including what was useful, what they experienced and what would have benefitted them. The survey showed a clear gap in Continued Professional Development (CPD) provision for Learning Developers. Kate and Matt are now in the process of designing a CPD framework that not only meets the needs of new Learning Developers but also enhances the skills and knowledge of more experienced colleagues. Participants had the opportunity to contribute their own experiences of CPD to the group to enhance further the quantitative data collected in the survey. As part of this session and beyond, Kate and Matt are keen to include community members in the design process, including being critical friends, designing and contributing resources and teaching development sessions within the framework.

From an emotional experience of mobile food shopping to continued purchase intention: moderating role of e-user expertise

PurposeThis study examines the role of the emotional experience of mobile food shopping in stimulating perceived values and continued intentions under the moderating role of consumer expertise.Design/methodology/approachWe gathered data from 632 Saudi mobile food shoppers through a web survey and analysed it using structural equation modelling.FindingsThe results showed that emotions (i.e. pleasure, arousal and dominance) significantly affect immersion in the experience of shopping via mobile food applications, which generates significant functional and emotional values and ultimately influences continued intentions. However, they do not have a significant effect on social value. Consumer expertise significantly moderates only the relationships between functional and emotional values with immersion and between immersion and continued intention.Practical implicationsFormulating a marketing strategy based on the emotional dimension is a potentially powerful way to enhance the attractiveness of mobile food applications. Nevertheless, segmenting the market based on consumer expertise is crucial for customising offers.Originality/valueThis study contributes to the literature by integrating pleasure-arousal-dominance theory with the theory of customer value to examine the role of the emotional dimension in the development of perceived values and continued intention to use mobile food ordering applications. Additionally, this study adds to the literature by examining the moderating role of user expertise in these relationships.

Ready or not? The state of emergency preparedness among Italian Public Health medical residents

Abstract Background Italy frequently experiences major events like earthquakes, floods, and migrant shipwrecks, reflecting global concerns that also include climate change, pandemics, and wars. This study aims to assess the role of public health experts and the current state of Italian post-degree Public Health schools in addressing these challenges. Methods In June 2023, a cross-sectional online survey was administered to all Italian Public Health residents enrolled in the Italian Society of Hygiene, Preventive Medicine, and Public Health (SItI). The survey investigated the availability and frequency of training and updates related to emergencies, measured the interest and perceived importance of these topics among residents, examined the impact of the COVID-19 pandemic on their awareness, and identified their primary sources of information in the subject. Results Out of 289 respondents, a significant majority (86.2%) acknowledging the importance of being trained in emergency management and 74.4% expressed interest in topic (p < 0.001). A 90.1% of residents indicated a lack of dedicated courses and 93.1% reported an absence of specialized master’s programs (p < 0.001). There was a strong correlation between recognizing the importance of the topic and the desire to attend specialized conferences (p < 0.001). The COVID-19 pandemic had a noticeable impact: 24.6% recognized the importance of the topic pre-pandemic, while 50.9% raised awareness during (p < 0.001). Conclusions The findings highlight a critical gap in the training of public health professionals in Italy, particularly in the domain of emergency preparedness and management. There is a pressing need to establish enhanced, uniform training programs across different public health training networks in Italy. Implementing such programs would ensure a more robust and effective response to future emergencies, thereby safeguarding public health and improving outcomes during crises. Key messages • Significant gap in specialized training and awareness among health professionals. • Urgent need for emergency preparedness training in public health.

An effective approach to tackling complex health policy challenges. Using a clinical microsystems approach and rethinking codesign.

That people with serious mental illness have poor physical health and face a significant life expectancy gap compared with the general population is well known. Despite considerable policy focus in some countries, the gap in life expectancy remains. Tackling complex and persistent health problems such as this requires a systems-based approach, recognising the complexity of interacting components and their effects on the problem and on each other and applying collaborative analysis, design and implementation by those with knowledge of and expertise in the problem and the context. This paper describes the methods used to develop the Australian Being Equally Well National Policy Roadmap for better physical health care and longer lives for people with severe mental illness. Whilst recognising that high rates of physical health comorbidities are caused by many factors including lifestyle, access to high-quality healthcare and medication side effects, the work was focused on what could be done within Australian primary care to improve the physical health of this cohort. A Clinical Microsystem Approach was applied to synthesise clinical evidence with professional and lived experience, and an innovative policy development process was established, creating trust across all system levels. Participants with different kinds of knowledge and experience worked in discrete groups according to their professional or expert role whilst also being supported to participate in an intensive cross-collaboration. The potential value of this methodology for tackling other complex problems in health policy is discussed.

Expanding the Role of Molecular Genetic Expertise in Crime Detection and Investigation

Molecular genetic testing using DNA plays a crucial role in the field of justice. Beyond the analysis of genomic DNA sequences, advanced methods such as mitochondrial DNA analysis, epigenetic marker identification, and RNA profiling are being developed. A particularly promising approach is forensic phenotyping, which involves predicting human characteristics from DNA samples, including appearance, biogeographic origin, and age.

Diversifying climate policy advice: Research agenda on the expertise of national climate councils

Understanding who influences climate policy and how expertise shapes decision-making is crucial in tackling climate change effectively. This perspective piece seeks to unravel the complexities of climate governance by reflecting on the role of experts in shaping climate policies. We suggest a new research agenda for studies on the representation and role of expertise in national climate institutions and in policymaking. With a shift towards national implementation, following the Paris Agreement, greater scholarly attention to the role of domestic institutions, including their scientific foundations, is crucial for our understanding of today's climate governance. Focusing on national climate councils, we debate the role of their expert composition and diversity of scientific expertise. We highlight the need for more research on the epistemic diversity and pay special attention to the role of social sciences, particularly the discipline's ability to address the political dimensions of climate action, such as equity, justice, and public acceptance.

Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise

Since the launch of ChatGPT in December 2022, large language models (LLMs) have been rapidly adopted by businesses to assist users in a wide range of open-ended tasks, including creative work. Although the versatility of LLM has unlocked new ways of human-artificial intelligence collaboration, it remains uncertain how LLMs should be used to enhance business outcomes. To examine the effects of human-LLM collaboration on business outcomes, we conducted an experiment where we tasked expert and nonexpert users to write an ad copy with and without the assistance of LLMs. Here, we investigate and compare two ways of working with LLMs: (1) using LLMs as “ghostwriters,” which assume the main role of the content generation task, and (2) using LLMs as “sounding boards” to provide feedback on human-created content. We measure the quality of the ads using the number of clicks generated by the created ads on major social media platforms. Our results show that different collaboration modalities can result in very different outcomes for different user types. Using LLMs as sounding boards enhances the quality of the resultant ad copies for nonexperts. However, using LLMs as ghostwriters did not provide significant benefits and is, in fact, detrimental to expert users. We rely on textual analyses to understand the mechanisms, and we learned that using LLMs as ghostwriters produces an anchoring effect, which leads to lower-quality ads. On the other hand, using LLMs as sounding boards helped nonexperts achieve ad content with low semantic divergence to content produced by experts, thereby closing the gap between the two types of users. This paper was accepted by D. J. Wu, information systems. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03014 .

Climate adaptation in multi‐level governance systems: Security, risk, or normal politics?

AbstractUsing a securitization lens, this article explores the climate adaptation discourse and its impact on the making and implementation of adaptation strategies in Sweden. The main goal is to discern whether climate change is understood and addressed as a security issue within Swedish climate adaptation policy, examining its practical implications from national to local levels. We scrutinize the discourses employed to frame climate adaptation and assess whether these align with threatification, riskification, or normal politics. We explore the actors and tools involved in creating this framing. Our findings reveal examples of threat‐ and risk‐oriented securitizations of climate adaptation strategy; however, most evidence highlights discourses and practices associated with normal politics across governance levels. Nationally, climate adaptation is managed akin to any other policy domain. Prioritization of adaptation goals takes place through centralized decision‐making, then monitored through accountability mechanisms spanning national, subregional, and local levels. The national government maintains financial and monitoring control throughout this chain. Municipalities possess significant autonomy in determining the means and methods to achieve adaptation objectives. This indicates that some securitization, but mainly normal policymaking, describes climate change adaption in Sweden ‐ an outcome strongly influenced by organizational fragmentation, scarce resources, and a pronounced role for experts.

Development and Acceptability of Provider Training to Increase Treatment Engagement of Parents in Their Children's Behavioral Health Care Need.

BACKGROUND: Disruptive, Impulse-Control, and Conduct disorders (DIC) affect 5 million children in the United States and often require comprehensive and long-term behavioral health care for which sustained parental involvement is essential. Our research team is developing an intervention to improve parental engagement in the behavioral health care of their children with DIC. The intervention, which will be a modification of an evidence-based shared decision-making intervention called DECIDE, will include a parent component and a provider component. AIM: To determine the acceptability of the provider component of the modified DECIDE intervention. METHODS: The provider intervention is an asynchronous self-paced online training program made up of five modules: introduction, shared decision-making, perspective-taking, attributional errors, and being a responsive provider. The training was piloted with 41 providers in two public child and adolescent treatment programs. Following completion of the training, semi-structured interviews were conducted with the providers to assess the acceptability of the training. The interviews were analyzed with conventional content analysis. RESULTS: The provider training was well received by providers, and many had made practice changes based on what they had learned. Several offered recommendations for improvement, most notably the need to tailor the training based on provider role, discipline, and level of expertise. CONCLUSIONS: The feedback given by providers will be used to refine future iterations of the provider training component of the modified DECIDE intervention. Psychiatric nurses and other clinicians may draw from strategies incorporated in the training program to improve parent engagement in the treatment of children with DIC.

THE ARTWORK’S JUDGE: THE LEGACY OF KANT AND HUME IN THE LIGHT OF EMPIRICAL AESTHETICS

Recent advances in neuroscientific and psychological research demand a re-evaluation of Hume’s and Kant’s philosophical accounts of aesthetic judgement. While Hume emphasises the role of art experts in establishing a standard of taste, Kant advocates a personal judgement of beauty based on a disinterested feeling of pleasure. Little research has been conducted on the direct empirical support for these theories. Through studying aesthetic judgement, this paper explores the interdisciplinary nexus of empirical philosophy, which seeks to integrate insights of empirical aesthetics to advance the philosophical debate on aesthetic judgement. Empirical findings not only highlight the distinctly separate judgement of beauty of experts and non-experts, but also build on the Kantian legacy, emphasising the role emotion and intuition play in aesthetic judgement.

Peer feedback in higher education: How students’ roles affect providing and receiving feedback

In this study, we aimed to explore the impact of different roles of feedback providers on their experience of providing feedback, as well as their influence on the feedback receivers’ responses to feedback. The students who performed the assignment (creating learning material) assumed the role of peer experts (N=22) in providing feedback. The other students (N=22) took on the role of peer users as they used the developed learning materials. The data on the students’ experiences were collected using the Intrinsic Motivation Inventory. The response to feedback was explored via interviews with the peer experts. Findings indicate that the peer experts exhibited a higher sense of competence than the peer users. Their feedback was perceived as more clear, specific, and useful than that provided by the peer users. According to the Self-Determination Theory, we highlight the importance of different task design features for students’ sense of competence, relatedness, and autonomy.

Navigating the AI/ML-Driven Future of HRM: Balancing Technological Innovation with Human Collaboration

In the age of rapid technological advancement, the integration of Artificial Intelligence (AI) and Machine Learning (ML) into Human Resource Management (HRM) practices is reshaping the landscape of modern workplaces. This article explores the multifaceted dynamics of this integration, exploring how AI/ML technologies are revolutionizing HRM while emphasizing the critical importance of human collaboration in this evolving paradigm. Through an in-depth analysis of current trends, challenges, and opportunities, this paper elucidates the myriad benefits that AI/ML offer to HRM, ranging from enhanced decision-making to streamlined processes. However, it also underscores the indispensable role of human expertise, empathy, and ethical considerations in harnessing the full potential of AI/ML in HRM. Drawing upon a rich body of existing literature and insightful case studies, this article provides nuanced insights into the future trajectory of HRM, advocating for a balanced approach where AI/ML seamlessly integrates with human capabilities to foster a collaborative environment. Ultimately, this exploration serves as a guiding beacon for organizations navigating the AI/ML-driven future of HRM, emphasizing the imperative of aligning technological innovation with human-centric values to achieve organizational success and employee well-being in the digital age. Keywords: AI, ML, Human Resource Management, Collaboration, Technology, Future of Work

The role of medical physics experts in clinical trials: A guideline from the European Federation of Organisations for Medical Physics

The EFOMP working group on the Role of Medical Physics Experts (MPEs) in Clinical Trials was established in 2010, with experts from across Europe and different areas of medical physics.Their main aims were: (1) To develop a consensus guidance document for the work MPEs do in clinical trials across Europe. (2) Complement the work by American colleagues in AAPM TG 113 and guidance from National Member Organisations. (3) To cover external beam radiotherapy, brachytherapy, nuclear medicine, molecular radiotherapy, and imaging.This document outlines the main output from this working group. Giving guidance to MPEs, and indeed all Medical Physicists (MP) and MP trainees wishing to work in clinical trials. It also gives guidance to the wider multidisciplinary team, advising where MPEs must legally be involved, as well as highlighting areas where MPEs skills and expertise can really add value to clinical trials.

Survival analysis of the metastatic cohort of Italian Association of Medical Oncology (AIOM) GARIBALDI survey

This analysis from the GARIBALDI study was aimed to address the role of center self-declared expertise, type and commitment on the overall survival (OS) of patients with metastatic Pancreatic Ductal Adenocarcinoma (mPDAC).Treatment-naïve patients ≥18-year with pathological diagnosis of mPDAC were enrolled. OS was defined as the time from chemotherapy start to death from any cause. The impact of clinical-demographic and centers characteristics on OS was evaluated using Cox models.Between July 2017 and October 2019, 473 patients enrolled in 43 centers were eligible for this analysis. Median age was 69.3 (first-third quartile 61.2–74.5); 46.1 % females; 90.8 % ECOG PS 0–1; 67.4 % had liver metastases; median CA19.9700.5 UI/mL (first-third quartile 77.5-6629.5). For 37.1 % of patients chemotherapy started <4 weeks from diagnosis; 69.9 % of patients received nab-paclitaxel + gemcitabine; 16.9 % gemcitabine alone; 7.6 % FOLFIRINOX. The median follow-up was 51.8 months and 428 patients died. No statistically significant role of the type of institution was observed. Additionally, no statistically significant role of neither the self-declared expertise nor the accrual rate was observed.The GARIBALDI study suggests that the self-declared center expertise and the academic brand are not associated to OS in patients with mPDAC, while center commitment warrants further exploration.

Utilizing ChatGPT in Systematic Reviews and Meta-Analyses

The current uses, potential risks, and practical recommendations for using chat generative pre-trained transformers (ChatGPT) in systematic reviews (SRs) and meta-analyses (MAs) are reviewed in this article. The findings of prior research suggest that, for tasks such as literature screening and information extraction, ChatGPT can match or exceed the performance of human experts. However, for complex tasks such as risk of bias assessment, its performance remains significantly limited, underscoring the critical role of human expertise. The use of ChatGPT as an adjunct tool in SRs and MAs requires careful planning and the implementation of strict quality control and validation mechanisms to mitigate potential errors such as those arising from artificial intelligence (AI) 'hallucinations'. This paper also provides specific recommendations for optimizing human-AI collaboration in SRs and MAs. Assessing the specific context of each task and implementing the most appropriate strategies are critical when using ChatGPT in support of research goals. Furthermore, transparency regarding the use of ChatGPT in research reports is essential to maintaining research integrity. Close attention to ethical norms, including issues of privacy, bias, and fairness, is also imperative. Finally, from a human-centered perspective, this paper emphasizes the importance of researchers cultivating continuous self-iteration, prompt engineering skills, critical thinking, cross-disciplinary collaboration, and ethical awareness skills with the goals of: continuously optimizing human-AI collaboration models within reasonable and compliant norms, enhancing the complex-task performance of AI tools such as ChatGPT, and, ultimately, achieving greater efficiency through technological innovative while upholding scientific rigor.