Focal Areas Research Articles

Digital Health Interventions Are Effective for Irritable Bowel Syndrome Self-Management: A Systematic Review.

Digital health interventions (DHIs) could be a valuable self-management tool for patients with irritable bowel syndrome (IBS), but little research exists on IBS-focused DHIs and their effectiveness. This review aimed to identify DHIs for IBS and evaluate their characteristics, effectiveness, and feasibility. Our study team, including patient partners, conducted a systematic review using Medline, PsycINFO, Embase, Web of Science, and CINAHL from database inception to May 2024. Experimental and observational studies evaluating DHIs designed for use by IBS patients were included. Data extraction and assessment included study and DHI characteristics, effectiveness outcomes (symptom severity, quality of life, psychological indices, patient empowerment), and feasibility measures (adherence, usability, user satisfaction). Study quality and bias were assessed using a modified checklist of Downs and Black. Of the 929 identified, 13 studies of DHIs were included and deemed good quality on average (21,510 total participants) with six primary areas of focus: education, diet, brain-gut behavior skills, physiological support, health monitoring, and community engagement. Most DHIs were self-directed and reported statistically significant improvements in most effectiveness outcomes. Evidence suggests that DHIs focusing on brain-gut behavior skills or health monitoring may be most effective compared to other types of DHIs. However, their feasibility remains unclear, and the generalization of their impacts is limited. This review underscores the potential of DHIs in supporting IBS patients and improving their outcomes. However, additional research is warranted for continued intervention use in this population, including assessments on feasibility, safety, cost-effectiveness, and patient empowerment and experiences.

Aggression in psychiatry: a bibliometric analysis

BackgroundAggression is a common problem in psychiatric clinics, and many studies have been conducted on the issue over the years. This study bibliometrically examines the characteristics and trends of aggression studies in psychiatry, such as the branches, publication years, types, publishers, and impact factors, and compares the focus areas of psychiatry and psychiatric nursing on aggression, to guide future research and readers on this topic. Bibliometric analysis was performed with network metrics, citation analysis, co-authorship analysis, science mapping, and network visualization techniques using WoS analysis reports and the VOSviewer program with data obtained from the Web of Science database on January 11, 2024.ResultsMost studies on aggression in psychiatry were published in 2019 as English articles. Then, 3.37% of these studies are in psychiatric nursing, mainly from Australia. In contrast, most psychiatric studies are from the USA. Psychiatry studies focus on causes, types, and relationships with psychiatric disorders, while psychiatric nursing studies emphasize aggressive attitudes, risk assessment, and aggression management.ConclusionsIt appears that studies on aggression continue to remain current in the literature and will continue to do so, considering that aggression is an ongoing clinical problem worldwide. Despite this, studies on assessing and managing the risk of aggression are still lacking. Future studies should prioritize the management of aggression. While the study showed the presence of multidisciplinary and international collaborations, it is recommended that these collaborations be further expanded. Findings may inform researchers’ keyword and journal choices.

Safety Trends in the Automobile Industry in India

The automobile industry in India has experienced significant advancements in recent years, driven by rapid technological innovations and evolving consumer expectations. Safety has emerged as a critical focus area, with stakeholders ranging from government bodies to manufacturers and consumers increasingly emphasizing the need for stringent safety measures. This paper explores the key safety trends shaping the Indian automotive sector, including the adoption of advanced driver-assistance systems (ADAS), the implementation of new crash test standards, and the increased integration of passive and active safety features in vehicles. Additionally, it highlights the regulatory changes brought forth by the Indian government, such as the Bharat New Vehicle Safety Assessment Program (BNVSAP) and mandatory safety norms like airbags and anti-lock braking systems (ABS). The study also examines the role of technological innovations, including connected vehicle technologies and the potential of autonomous driving in enhancing road safety. By analyzing these trends, the paper aims to provide insights into how safety measures in the Indian automobile industry are evolving to meet global standards and reduce the rising number of road accidents in the country.

E-Learning Impact on Higher Education Institutions during COVID-19 Pandemic: A Bibliometric Analysis

The COVID-19 pandemic forced a rapid shift to online learning in higher education. To understand this evolving field better, this study employed a powerful technique called bibliometrics. Researchers analyzed scholarly publications between 2020 and 2023 in Web of Science, focusing on keywords related to e-learning, universities, and the pandemic's impact. This data-driven approach provided a more comprehensive picture than traditional reviews, revealing connections between research topics, researchers, and specific studies. Furthermore, the VOSviewer tool was employed to identify frequently co-occurring keywords, thus uncovering the major themes within the research. This analysis of keyword co-occurrence allowed the study to pinpoint key trends and areas of focus in e-learning for higher education institutions. Ultimately, this research offers valuable insights for researchers, educators, and policymakers navigating the changing educational landscape and the future of e-learning in higher education.

Embracing tomorrow: global insights on corporate commitment to the 2030 Agenda

Purpose The 2030 Agenda represents a unique and historic opportunity to achieve sustainable development by establishing high-priority issues to be addressed, such as the eradication of extreme poverty, the reduction of inequalities, and inclusive economic growth with decent work for all. This study aims to analyze the commitment of the world’s leading companies to the sustainable development goals (SDGs) set out in this roadmap. Design/methodology/approach To provide a dynamic and global view of corporate commitment to the 2030 Agenda, the authors identified the 3,910 companies that have reported on various initiatives related to the SDGs over the period 2019–2022 (15,640 observations), based on the Refinitiv database. The companies that make up the sample are located in 71 countries across eight geographic regions. Findings The results show a positive evolution in the actions and initiatives that companies are developing to contribute to the protection of people, the planet, prosperity, universal peace, and access to justice. However, there are differences between regions and countries and between the 17 objectives. Originality/value The authors’ approach allows for a detailed understanding of business preferences, how these sustainable business practices contribute to achieving the SDGs in different regions and what contextual factors influence this contribution. In this sense, the analysis of the regional distribution of corporate commitments to the SDGs provides valuable information on the priority areas of focus in different regions of the world.

Emerging and Conventional Water Desalination Technologies Powered by Renewable Energy and Energy Storage Systems toward Zero Liquid Discharge

The depletion of fossil fuels has become a significant global issue, prompting scientists to explore and refine methods for harnessing alternative energy sources. This study provides a comprehensive review of advancements and emerging technologies in the desalination industry, focusing on technological improvements and economic considerations. The analysis highlights the potential synergies of integrating multiple renewable energy systems to enhance desalination efficiency and minimise environmental consequences. The main areas of focus include aligning developing technologies like membrane distillation, pervaporation and forward osmosis with renewable energy and implementing hybrid renewable energy systems to improve the scalability and economic viability of desalination enterprises. The study also analyses obstacles related to desalination driven by renewable energy, including energy storage, fluctuations in energy supply, and deployment costs. By resolving these obstacles and investigating novel methodologies, the study enhances the understanding of how renewable energy can be used to construct more efficient, sustainable, and economical desalination systems. Thermal desalination technologies require more energy than membrane-based systems due to the significant energy requirements associated with water vaporisation. The photovoltaic-powered reverse osmosis (RO) system had the most economically favourable production cost, while MED powered via a concentrated solar power (CSP) system had the highest production cost. The study aims to guide future research and development efforts, ultimately promoting the worldwide use of renewable energy-powered desalination systems.

Survival and Evolutionary Adaptation of Populations Under Disruptive Habitat Change: A Study With Darwinian Cellular Automata.

The evolution of living beings with continuous and consistent progress toward adaptation and ways to model evolution along principles as close as possible to Darwin's are important areas of focus in Artificial Life. Though genetic algorithms and evolutionary strategies are good methods for modeling selection, crossover, and mutation, biological systems are undeniably spatially distributed processes in which living organisms interact with locally available individuals rather than with the entire population at once. This work presents a model for the survival of organisms during a change in the environment to a less favorable one, putting them at risk of extinction, such as many organisms experience today under climate change or local habitat loss or fragmentation. Local spatial structure of resources and environmental quality also impacts the capacity of an evolving population to adapt. The problem is considered on a probabilistic cellular automaton with update rules based on the principles of genetic algorithms. To carry out simulations according to the described model, the Darwinian cellular automata are introduced, and the software has been designed with the code available open source. An experimental evaluation of the behavioral characteristics of the model was carried out, completed by a critical evaluation of the results obtained, parametrically describing conditions and thresholds under which extinction or survival of the population may occur.

Examining noncommunicable diseases using satellite imagery: a systematic literature review

IntroductionNoncommunicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide, accounting for 74% of deaths annually. Satellite imagery provides previously unattainable data about factors related to NCDs that overcome limitations of traditional, non-satellite-derived environmental data, such as subjectivity and requirements of a smaller geographic area of focus. This systematic literature review determined how satellite imagery has been used to address the top NCDs in the world, including cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes.MethodsA literature search was performed using PubMed (including MEDLINE), CINAHL, Web of Science, Science Direct, Green FILE, and Engineering Village for articles published through June 6, 2023. Quantitative, qualitative, and mixed-methods peer-reviewed studies about satellite imagery in the context of the top NCDs (cancer, cardiovascular disease, chronic respiratory disease, and diabetes) were included. Articles were assessed for quality using the criteria from the Oxford Centre for Evidence-Based Medicine.ResultsA total of 43 studies were included, including 5 prospective comparative cohort trials, 22 retrospective cohort studies, and 16 cross-sectional studies. Country economies of the included studies were 72% high-income, 16% upper-middle-income, 9% lower-middle-income, and 0% low-income. One study was global. 93% of the studies found an association between the satellite data and NCD outcome(s). A variety of methods were used to extract satellite data, with the main methods being using publicly available algorithms (79.1%), preprocessing techniques (34.9%), external resource tools (30.2%) and publicly available models (13.9%). All four NCD types examined appeared in at least 20% of the studies.ConclusionResearchers have demonstrated they can successfully use satellite imagery data to investigate the world’s top NCDs. However, given the rapid increase in satellite technology and artificial intelligence, much of satellite imagery used to address NCDs remains largely untapped. In particular, with most existing studies focusing on high-income countries, future research should use satellite data, to overcome limitations of traditional data, from lower-income countries which have a greater burden of morbidity and mortality from NCDs. Furthermore, creating and refining effective methods to extract and process satellite data may facilitate satellite data’s use among scientists studying NCDs worldwide.

Multi-qubit gates and Schrödinger cat states in an optical clock.

Many-particle entanglement is a key resource for achieving the fundamental precision limits of a quantum sensor1. Optical atomic clocks2, the current state of the art in frequency precision, are a rapidly emerging area of focus for entanglement-enhanced metrology3-6. Augmenting tweezer-based clocks featuring microscopic control and detection7-10 with the high-fidelity entangling gates developed for atom-array information processing11,12 offers a promising route towards making use of highly entangled quantum states for improved optical clocks. Here we develop and use a family of multi-qubit Rydberg gates to generate Schrödinger cat states of the Greenberger-Horne-Zeilinger (GHZ) type with up to nine optical clock qubits in a programmable atom array. In an atom-laser comparison at sufficiently short dark times, we demonstrate a fractional frequency instability below the standard quantum limit (SQL) using GHZ states of up to four qubits. However, because of their reduced dynamic range, GHZ states of a single size fail to improve the achievable clock precision at the optimal dark time compared with unentangled atoms13. Towards overcoming this hurdle, we simultaneously prepare a cascade of varying-size GHZ states to perform unambiguous phase estimation over an extended interval14-17. These results demonstrate key building blocks for approaching Heisenberg-limited scaling of optical atomic clock precision.

A bibliometric analysis of Oropouche virus.

Oropouche virus (OROV) causes systemic infections including the nervous and blood systems, posing a significant and growing public health challenge. However, a comprehensive review of the bibliometric analysis of OROV is still lacking. Therefore, the objective of this study was to provide insight into the research dynamics and current hotspots of OROV. This study used bibliometric analysis to explore the current status of research related to OROV. 148 publications from 1961 to 2024 were retrieved from the Scopus database. Countries, authors, institutions, journals, references, and keywords were visualized using VOSviewer, CiteSpace, R studio, and Bibliometrix. Microsoft Excel was used for statistical analysis. Brazil is the country with the highest number of publications, total cited frequency, and the most extensive international collaboration. The most popular journal in this field is the American Journal of Tropical Medicine and Hygiene. Instituto Evandro Chagas is the institution with the highest number of publications, and Eurico Arruda is involved in the highest number of publications. Keyword co-occurrence analysis showed that Oropouche bunyavirus, virology, bunyavirus, priority journal, and nucleotide sequence are the main research hotspots in this field. Our study provides a comprehensive overview of the research trends and key areas of focus in OROV. The field is currently experiencing rapid growth, as evidenced by the rising number of annual publications, which not only highlights increased research activity but also lays a solid foundation for further in-depth investigations. This trend offers valuable insights for developing effective strategies for outbreak prevention and control in public health. Presently, researchers are concentrating on the detailed study of Bunyavirus infections, employing both virological and genetic approaches to elucidate their complex pathogenic mechanisms.

Empowering Communities to Act for a Change: A Review of the Community Empowerment Programs towards Sustainability and Resilience

At the global level, significant efforts have been made to address societal challenges and improve the lives of people and restore the planet’s ecosystems through sustainability and resilience programs. These programs, however, tend to be driven by governments, private sectors, and financial institutions, and therefore often lack a process of empowerment to ensure that the local communities can participate actively in co-designing and implementing these programs. More knowledge is needed on how to develop such programs and how the process of empowerment can be organized so that it supports in the long run sustainability transformation. Against this background, the paper explores the role of community empowerment programs as a critical tool for sustainability management strategies and practices. A semi-systematic review of 21 community empowerment programs for sustainability and resilience is conducted. The analysis reveals that the programs mostly aimed to address challenges such as the lack of education and capacity, limited access to basic services and resources, and poor governance and management. The programs initiators involve a diverse set of actors, especially through established partnerships and networks. Most of the programs address the specific needs of vulnerable or marginalized groups or communities. The structure of the programs typically follows a phased methodological approach, beginning with awareness-raising and problem identification, followed by capacity building that allows for making decisions collaboratively and for co-creating innovative solutions based on local knowledge and values. Also, monitoring and evaluation of transformative impact are mentioned as important structural elements. Specifically, the analysis highlights four main focus areas of empowerment: (1) capacity building, (2) self-reliance, control, ownership, responsibility, and independence, (3) participation, engagement, and collective action, and (4) integration of local knowledge and values. However, there is no one-size-fits-all approach to such programs. Instead, successful empowerment programs towards sustainability depend on a deep understanding of local contexts and the ability to tailor strategies to meet specific community needs. The review also identified knowledge gaps that require further investigation to enhance the effectiveness of empowerment programs for both people and nature.

Identifying focus areas for science communication training in the context of undergraduate science education

ABSTRACT In this paper, we present recommendations for integrating science communication training into undergraduate science curricula. Science communication training is increasingly acknowledged as an important element of science education. It is essential to introduce this training early in academic development, ideally at the undergraduate level. The current study was aimed at identifying specific focus areas for such training within an undergraduate biomedical sciences program. Therefore, we tasked undergraduate biomedical students with translating general instructions for engaging in science-society interactions into concrete communicative behavior. Following the thematic analysis of 121 written student responses, we identified two primary focus areas, resulting in two recommendations. Firstly, training should concentrate on helping students to operationalize complex communicative concepts, such as respect and listening, into tangible communicative behavior. A special emphasis should be placed on aspects of nonverbal communication. Secondly, science communication training should prioritize fostering informed views of the nature of science, while connecting to building knowledge and understanding of models of science communication. This approach could enhance students’ receptivity to important aspects of the dialogue model, such as accepting diverse forms of knowledge and recognizing scientists and non-scientists as equal participants in dialogue. For both recommendations, we contemplate potential educational interventions and/or pedagogical approaches.

Anesthetic sampling and the tissue regeneration potential of oysters: A study with Crassostrea hongkongensis

The use of an appropriate amount of anesthetic can prevent the sacrifice of oysters during experimental sampling or seedling rearing. In this study, we assessed the effects of air exposure and three concentrations of magnesium chloride (10, 40, and 70 g L–1) on the anesthetic efficiency for Crassostrea hongkongensis. We examined the recuperative capacity of the oysters post-tissue sampling. The results indicated that 36 h of air exposure could significantly enhance the anesthetic efficiency of C. hongkongensis while ensuring the oysters’ survival. A 40 g L–1 solution of magnesium chloride had the optimal anesthetic effect on C. hongkongensis across all oyster sizes. In addition, smaller oysters (119.10 g) had a higher relaxation rate than larger oysters (191.00 g). The oysters anesthetized with 40 g L–1 magnesium chloride also demonstrated the best recovery. No deaths were observed among the non-anesthetized oysters, anesthetized-recovered oysters, or non-recovered oysters during a seven-day post-farming period. In terms of live sampling, the control group (100 %), gonad group (100 %), mantle group (98.67 %), gill group (89.33 %), and adductor muscle group (97.33 %) all showed high survival rates after anesthesia. Observation of tissue growth post-sampling revealed the presence of focal green areas in tissues between days 7 and 14. By day 30, the adductor muscle and mantle tissues had fully healed, and the regrown tissue in the gills had approached its original length. A 40 g L–1 magnesium chloride solution had no significant effects on gametes in terms of fertilization rate, growth rate, and attachment rate. The present findings indicated that C. hongkongensis could be effectively anesthetized using a 40 g L–1 magnesium chloride solution following 36 h of aerial exposure. Post-anesthesia tissue and gamete sampling did not result in significant mortality, and the tissues had fully recovered within 30 days post-sampling. The anesthesia did not have any adverse effects on the progeny.

An Economic Analysis of Coal Pricing in Mongolia

Coal is a critical export for Mongolia, playing a significant role in the nation’s economy by contributing to GDP and export revenues. This paper provides an economic analysis of coal pricing in Mongolia, examining the primary factors that drive price fluctuations in both domestic and international markets. Key areas of focus include global demand, particularly from neighboring China, transportation costs, government policies, currency exchange rates, and environmental regulations. The paper employs a mixed-method approach, analyzing historical price data alongside policy reviews to identify the challenges and opportunities Mongolia faces in stabilizing coal prices. Global coal demand, especially from China, has a profound effect on Mongolian coal prices, while infrastructure limitations and transportation costs further exacerbate price volatility. Additionally, Mongolia’s coal sector is influenced by international competition, particularly from established exporters like Australia and Indonesia, which benefit from more developed supply chains. This research aims to provide valuable insights for policymakers and stakeholders by offering recommendations on how Mongolia can enhance price stability and strengthen its position in the global coal market. By analyzing the economic forces shaping Mongolian coal prices, the study contributes to broader discussions on resource management and economic sustainability in coal-dependent economies. The findings will aid policymakers in developing strategies that address Mongolia's infrastructure challenges and ensure the long-term viability of its coal industry in the face of evolving global energy dynamics.

Survey of the endoscopy workforce’s perception of sustainability

ObjectiveThe National Health Service is a significant contributor to greenhouse gas emissions, with endoscopy ranking as the third highest contributor of waste in healthcare. We aimed to ascertain the endoscopy...

Artificial Intelligence and Employee Well-Being: Balancing Technological Progressions with Human-Centric Workplace Strategies, a Research Agenda

Artificial intelligence (AI) enabled technologies are now corporate organisations' top priorities due to the availability of large data and the advent of the Internet of Things during the past ten years. AI is becoming a crucial component of business model innovation, process transformation, disruption, and gaining a competitive edge for companies adopting digital and data-centric cultures. This study investigates the implications of smart technology, artificial intelligence, robotics, and algorithms (STARA) on the future of work, with a particular emphasis on employee well-being and workplace dynamics. As futurists project that by 2025, 52% of all work functions will be automated, replacing one-third of current jobs, the rapid advancement of STARA creates both opportunities and risks. While automation has the potential to produce 133 million new jobs, it also threatens to eliminate 75 million employments, raising employee anxieties about job security and future roles. Despite the rising volume of studies on smart automation, there is still a major vacuum in our understanding of its implications on employees' mental health, well-being, and the entire workplace. This study investigates STARA's dual influence: while technology reduces physical strain and automates tedious jobs, it also raises new difficulties such as job displacement concerns and shifts in worker dynamics. The study emphasizes the need of human resource professionals to develop methods that strike a balance between technological integration and employee assistance. Key areas of focus include providing reskilling opportunities, adopting mental health initiatives, and encouraging open conversation regarding AI's expanding role in the workforce. By addressing these concerns, organisations may build a more resilient workforce that is better suited to the fourth industrial revolution. The study intends to contribute to a better understanding of how organisations may safeguard and improve employee well-being in the face of fast technological change, ensuring that STARA integration encourages innovation while simultaneously supporting a healthy and engaged workforce

Multimodal emotion recognition: A comprehensive review, trends, and challenges

AbstractAutomatic emotion recognition is a burgeoning field of research and has its roots in psychology and cognitive science. This article comprehensively reviews multimodal emotion recognition, covering various aspects such as emotion theories, discrete and dimensional models, emotional response systems, datasets, and current trends. This article reviewed 179 multimodal emotion recognition literature papers from 2017 to 2023 to reflect on the current trends in multimodal affective computing. This article covers various modalities used in emotion recognition based on the emotional response system under four categories: subjective experience comprising text and self‐report; peripheral physiology comprising electrodermal, cardiovascular, facial muscle, and respiration activity; central physiology comprising EEG, neuroimaging, and EOG; behavior comprising facial, vocal, whole‐body behavior, and observer ratings. This review summarizes the measures and behavior of each modality under various emotional states. This article provides an extensive list of multimodal datasets and their unique characteristics. The recent advances in multimodal emotion recognition are grouped based on the research focus areas such as emotion elicitation strategy, data collection and handling, the impact of culture and modality on multimodal emotion recognition systems, feature extraction, feature selection, alignment of signals across the modalities, and fusion strategies. The recent multimodal fusion strategies are detailed in this article, as extracting shared representations of different modalities, removing redundant features from different modalities, and learning critical features from each modality are crucial for multimodal emotion recognition. This article summarizes the strengths and weaknesses of multimodal emotion recognition based on the review outcome, along with challenges and future work in multimodal emotion recognition. This article aims to serve as a lucid introduction, covering all aspects of multimodal emotion recognition for novices.This article is categorized under: Fundamental Concepts of Data and Knowledge > Human Centricity and User Interaction Technologies > Cognitive Computing Technologies > Artificial Intelligence

Minimizing Business Disruption During Enterprise End-Point OS Upgrade while Maintaining a Robust Security Posture

The deployment of a major end-point operating system (OS) upgrade presents significant challenges for enterprise organizations, requiring a comprehensive strategy to minimize business disruption and maintain a robust security posture. Beyond the operational complexities of managing user productivity and application compatibility, organizations must also proactively address the critical security risks associated with such large-scale technology transitions. Cybercriminals often target organizations undergoing major IT changes, seeking to exploit vulnerabilities that may arise due to shifts in the OS architecture, user workflows, and security controls. This paper outlines practical strategies for executing successful OS upgrade projects that balance operational resilience and cyber risk management. Key focus areas include proactive management of end-point security, comprehensive contingency planning and rollback procedures, strategies to sustain productivity and business continuity, effective end-user training and communication, and valuable insights into the next- generation OS deployment. By focusing on these critical aspects, organizations can navigate major OS upgrade initiatives while preserving vigorous business operations, enhancing end-user experience, and safeguarding sensitive data and systems from costly security incidents.

Strategic Planning in Education: A Bibliometric Analysis

This study conducts a bibliometric analysis of strategic planning in education, using SCOPUS data from 2010 to 2024. The research identifies key trends and focal areas within the literature, particularly in higher education. From an initial 1,082 documents, a refined dataset of 400 was analyzed based on specific inclusion criteria. The findings reveal a significant increase in interest in strategic planning over the past decade, with the United States, China, and Indonesia as leading contributors. King Abdulaziz University and Texas A&M University are among the most prolific institutions. Central themes include the integration of strategic planning with higher education management, sustainability, and inclusive education. Network visualization shows "strategic planning" as a core theme, closely linked with topics like strategic management and curriculum development. These insights highlight the critical role of strategic planning in navigating educational challenges, offering valuable guidance for enhancing institutional effectiveness and educational outcomes.

12560 RIMOC1, A Novel Regulator Of Mitochondrial Function, And Its Role In Pancreatic Beta-cell Survival, Mitophagy, And Diabetogenesis

Abstract Disclosure: D. Filingeri: None. R. Liu: None. V. Negi: None. J. Lee: None. A. Kumar: None. V. Mandi: None. M. Moulik: None. V. Yechoor: None. Background: Literature supports preserving beta-cell function as an approach to slowing diabetes progression. Mitochondria emerge as an interesting area of focus, driving cellular respiration and glucose-stimulated insulin secretion (GSIS) within beta-cells in physiologic conditions, and leading to increased intracellular ROS generation when damaged. Damaged mitochondria are recycled via lysosomes by mitophagy, and defects in mitophagy have been linked to numerous disease states, with more recent data implicating impaired mitophagy with beta-cell death. Our previous work on the Hippo-TEAD pathway and beta-cell survival led to the isolation of the TEAD binding partner RIMOC1 (RAB7A-Interacting MON1-CCZ1 Complex Subunit 1), a protein highly expressed in pancreatic beta-cells, though its role in beta-cells remains unknown. The overarching hypothesis is that RIMOC1 is protective against the development of diabetes by preserving beta-cell mitophagy and mitochondrial function, and that impaired RIMOC1 function would lead to beta-cell failure and diabetes.Methods: We have generated both a stable INS2 RIMOC1 KO (knockout) cell line and an INS1-Cre RIMOC1 KO mouse model, that are beta-cell specific knockouts of RIMOC1. Mitochondrial membrane potentials were measured using TMRE and JC1 stains, and mitophagy was quantified using the mtKeima probe via flow cytometry. Protein expression was quantified via western blotting. Ongoing studies involving our mouse model include in vivo GTTs (glucose tolerance testing), ex vitro GSIS experiments to assess beta-cell function from mouse islets, and seahorse assays to quantify mitochondrial function. Results: Published GEO datasets show RIMOC1 expression is positively correlated with beta-cell maturity and negatively correlated with glucose load and HgbA1c. Our in vitro data demonstrates RIMOC1 knockout leads to decreased insulin mRNA expression, decreased insulin content, and increased beta-cell cycle inhibition. Early in vivo data shows worsened hyperglycemia with oral refeeding after fasting. In vitro mitophagy experiments demonstrate significantly diminished mitochondrial membrane potential in RIMOC1 KO INS2 cells. Conclusions: RIMOC1 is highly expressed in beta-cells and has a significant role in maintaining euglycemia through mitochondrial functioning, insulin processing, and altered mitophagy. This research highlights RIMOC1 as a promising target of further diabetes research. Presentation: 6/2/2024