Groupware Research Articles

Pengembangan Model Pembelajaran Collaborative Artistic Platforms Terintegrasi dengan Projek Penguatan Profil Pelajar Pancasila Untuk Optimasi Mahasiswa PPG di Sekolah Mitra

This research aims to develop a Collaborative Artistic Platforms learning model that is integrated with the Pancasila Student Profile Strengthening Project, in order to optimize the abilities of PPG (Professional Teacher Education) students at partner schools. This model is designed to improve collaborative skills, creativity and understanding of Pancasila values through interactive artistic activities. Research methods include model development, implementation in the field, and evaluation of effectiveness through qualitative and quantitative approaches. The research results show that this learning model is effective in increasing student involvement, their understanding of Pancasila values, as well as more creative and collaborative teaching abilities. It is hoped that this model can become a reference in developing a PPG curriculum that is more innovative and relevant to educational needs in Indonesia.

The Role of Video Cameras and Emerging Technologies in Disaster Response to Increase Sustainability of Societies: Insights on the 2023 Türkiye–Syria Earthquake

New technologies are being used to facilitate the recognition process during and after earthquakes. These advanced tools are essential to keep track of what is left from of the destruction suffered by the built stock. Among the new technologies are video recordings captured during seismic events, footage from drones, and satellite imagery acquired before and after the event. This review paper presents a series of examples collected from the 2023 Türkiye–Syria earthquakes to illustrate how these new technologies offer a unique and efficient way to capture, document, and transfer information among experts in seismology, earthquake engineering, and disaster management. Whenever possible, these examples are accompanied by simple qualitative explanations to enhance understanding. To demonstrate the potential of video cameras and drone imagery for quantitative analysis, in addition to the various simple examples provided, two case studies are provided—one on road blockages, and another on intensity assessment and wave attenuation as observed in video cameras. These technologies are critical and merit considerable focus, particularly video cameras, which have not received much attention recently, on helping to understand seismic wave passage and their impact on the built environment. Enhancing our use of video cameras in this context can significantly contribute to the sustainability and resilience of our society. With the rapid advancement of image analysis, we advocate for a collaborative platform for accessing and utilizing imagery materials, aiding current and future generations in analysing the causes of such tragedies.

Beyond Back-to-Back: Rethinking Meetings for Well-Being and Productivity

This article explores the psychological factors contributing to "meeting fatigue" in many organizations and offers recommendations for restructuring meeting culture in a more sustainable way. Meetings are increasingly used by companies as a collaboration tool, but can satisfy deeper human drives for involvement, approval, and control rather than just productivity. However, over-reliance on frequent and back-to-back meetings takes a psychological toll by disrupting focus, activating stress responses, and reducing autonomy. Though intended to increase productivity, excessive scheduling often backfires as overstressed employees are less effective. The article recommends guidelines for purposeful meetings, empowering employees to consider alternatives, limiting back-to-backs, using timeboxes and clear agendas, and fostering well-being. A case study demonstrates reductions in staff meeting time and improvements in productivity after implementing norm changes. Overall, the article makes the case that rethinking meeting culture grounded in behavioral science can boost employee engagement and company performance.

Building and Maintaining a High-Performing Team

This article discusses effective strategies for establishing and maintaining high-functioning teams. It asserts that team performance starts with careful member selection based on complementary skills, commitment to goals, and interpersonal chemistry. Once formed, teams must define clear roles and specific, measurable goals. Member expectations around norms, communication and decision-making should be aligned upfront. Ongoing performance management through feedback, recognition and addressing poor performance is also necessary. Teams require open communication facilitated through meeting structures and collaboration tools. Conflict should be addressed constructively through open discussion focused on problem-solving rather than blaming. Providing frequent, specific recognition and rewards helps sustain motivation. When implemented consistently, these techniques can transform a group of individuals into a cohesive unit that consistently achieves superior outcomes through a people-first, process-driven approach.

Trapped in the Middle: Tracing the Invention of Mizrahi Jews as Mediators

Abstract: The essay traces the history of Mizrahim becoming mediators who operated on the borderlines that emerged between Arabs and Jews and Hebrew and Arabic languages. From this liminal position on the national borderlines emerged a new role for the Mizrahi Jews—as translators, interpreters, and go-betweens bridging the two cultures and national identities while simultaneously maintaining the clear separation lines between them. The essay expands the scope of cultural and social activities that could be considered mediation, from actions that aim to bring people closer or reconcile them to other roles, such as a platform for spying, collaboration, and propaganda. A key “mediation zone” discussed in the essay is the Voice of Israel in Arabic.

Collaborative Business Navigation Platform That Comprehensively Supports Work of Operators

Collaborative Business Navigation Platform That Comprehensively Supports Work of Operators

Efficacy and Safety of Intravenous Diltiazem Versus Metoprolol in the Management of Atrial Fibrillation with Rapid Ventricular Response in the Emergency Department: A Comprehensive Umbrella Review of Systematic Reviews and Meta-analyses.

Atrial fibrillation (AF) is the most common cardiac arrhythmia in the United States, affecting 2.7-6.1 million people. AF can cause symptoms, but when it triggers a rapid ventricular response (RVR), most patients suffer from decompensation. Therefore, we performed an umbrella review of systematic reviews and meta-analyses comparing intravenous (IV) metoprolol and diltiazem to identify discrepancies, fill in knowledge gaps, and develop standardized decision-making guidelines for physicians to manage AF with RVR. A comprehensive search was conducted in PubMed, the Cochrane Library, and Scopus to identify studies for this umbrella review. The overall certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation method, while the quality of the included reviews was evaluated using AMSTAR 2, the Cochrane Collaboration tool, and the Newcastle-Ottawa scale. This study comprehensively analyzed four meta-analyses covering 11 randomized controlled trials and 19 observational studies. The analysis showed that IV diltiazem treatment was significantly more successful in rate control for AF with rapid ventricular response (RVR) than IV metoprolol (risk ratio [RR], 1.30; 95% confidence interval [CI], 1.09-1.56; I 2 = 0%; P = .003). IV diltiazem also led to a significantly greater reduction in ventricular rate (mean difference, -14.55; 95% CI, -16.93 to -12.16; I 2 = 72%; P < .00001), particularly at 10 min. The analysis also revealed a significantly increased risk of hypotension associated with treatment with IV diltiazem (RR, 1.43; 95% CI, 1.14-1.79; I 2 = 0%; P = .002). In conclusion, IV diltiazem therapy achieved better rate control and ventricular rate decrease than metoprolol therapy in AF with RVR. Future clinical trials should compare calcium channel blockers and β-blockers for heart rate control efficacy and safety, considering adverse events.

Promises and Pitfalls of Calcineurin Inhibitors in COVID-19: A Systematic Review and Meta-analysis of Controlled Trials.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a violent attack on the body that leads to multi-organ failure and death in COVID-19 patients. The aim of this study was to systematically review the existing literature on the potential benefits of calcineurin inhibitors (CIs) as anti-vascular endothelial growth factor (VEGF) agents in improving the clinical outcomes of COVID-19 patients. We searched various databases, including PubMed, Scopus, ISI Web of Science, Google Scholar, Cochrane databases, and ClinicalTrials.gov from 31st December, 2019, to 3rd February, 2023, for relevant controlled trials. The quality of the evidence was assessed using the Cochrane Collaboration tool. Comprehensive Meta-Analysis Software was used for the statistical analyses using a random-effects model. Three trials enrolling 293 participants were reviewed in the present systematic review and meta-analysis. The results showed CIs to lead to a significant reduction in mortality rate [risk ratio (RR): 0.598, 95% CI: 0.404-0.885, P-value = 0.010] with a low between-study heterogeneity (Cochrane Q test: I2 = 0.000%, P-value = 0.371). Pooled analysis of two studies (84 patients) illustrated that CIs could not significantly increase the rate of hospital discharge (RR: 1.161, 95% CI: 0.764-1.764, P-value = 0.485) and heterogeneity was not significant (Cochrane Q test: I2 = 26.798%, P-value = 0.242). CIs are able to inhibit the virus nucleocapsid protein so that they can prevent replication and respiratory tract tissue damage caused by SARS-CoV-2. Based on the characteristics mentioned in detail, CIs can play a potential therapeutic role for COVID-19 patients.

Mindfulness-Based Therapy for Military Populations with Chronic Pain: A Systematic Review.

Background: Due to the limited role of chronic pain medication in military personnel and the distress caused to the military population, mindfulness-based therapy has been considered for the follow-up treatment of military personnel with chronic pain. The purpose of this review is to explore the effect and the implementation of mindfulness-based therapy for the military population with chronic pain. Methods: The keywords for the search included "mindfulness" AND ("pain" OR "chronic pain") AND ("military" OR "veteran"). The PubMed, Embase, and Cochrane Library databases were searched. The Cochrane Collaboration tool was used to independently assess the risk of bias of the included randomized controlled trials, and the Newcastle-Ottawa Scale was used to independently assess the risk of bias of the included case-control studies. Results: A total of 175 papers were identified; 65 duplicates were excluded, and 59 papers that did not meet the inclusion criteria were excluded after reading the titles and abstracts. The remaining 51 papers were read in full, 42 of which did not meet the inclusion criteria. Nine papers met the inclusion criteria and were included in the study. The nine studies included 507 veterans and 56 active-duty female military personnel. All pain interventions were mindfulness-based therapy, and all of them were integrated into or adapted from standard mindfulness courses. The results all showed that after mindfulness-based therapy, the relevant indicators improved. Conclusions: Mindfulness-based therapy is an effective treatment method for the military population with chronic pain. The review indicates that future research should focus on the best setting for mindfulness-based therapy, including the course content and time.

Cognitive enhancement through technology: A review of transcranial electrical stimulation (TES) interventions in children and adolescents with specific learning disabilities.

In recent years, the exploration of innovative interventions for addressing problems of children and adolescents with specific learning disabilities (SLD) has garnered significant attention within the realm of neurocognitive research. Transcranial electrical stimulation (TES) has emerged as a promising tool for enhancing cognitive skills in children, offering a non-invasive and safe method that may particularly benefit those with learning difficulties. We aimed to appraise the extent and the quality of studies about impact of TES on cognitive skills including academic skills in children and adolescents with SLD. A literature search was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles published between January 2000 and January 2024 were searched in PubMed, Embase, Scopus, Web of Science and Google Scholar. The study eligibility criteria were previously established according to the PICO model. The Physiotherapy Evidence Database (PEDro) scale and Cochrane Collaboration tool (ROB2) were used to assess the methodological quality and the risk of bias of the included studies, respectively. The initial search yielded 1571 studies among which 30 studies were systematically reviewed. The total number of participants was 224 individuals (intervention: 114; control: 110). Findings showed significant improvements in reading skills such as text reading, high-frequency word reading speed and efficiency and mathematical skills. Conversely, other cognitive skills such as working memory were not improved in people with dyslexia and dyscalculia. TES interventions can positively affect cognitive skills in children and adolescents with SLD; However, due to the small number of studies, medium methodological quality and high risk of bias, caution should be taken when interpreting the results.

Development of LSLC-Based Collaborative Learning Model Learning Tools And Their Effects on Critical Thinking Skills

The purpose of this study is to develop collaborative learning-based learning resources and their impact on students' capacity for critical thought. This study used a combination of methods, namely development research (R&amp;D) with Thiagarajan 4D model and experimental research. Data was collected through observations, questionnaires, tests, and interviews. The validity coefficients for the Teaching Module, worksheet, and test were 3.80, 3.80, and 3.70, respectively. Observations showed that 96% of the learning tools met practical criteria. The tools were effective, with 93% of student activities rated very good, 96% of students giving positive responses, and 85% achieving learning completion. A t-test (sig = 0.007) confirmed the collaborative learning tool based on LSLC significantly enhanced students' critical thinking skills.

Optimizing Cross-Functional Teams in Remote Work Environments for Product Development

Remote work settings have significantly increased in the current product development landscape. This change requires a reassessment of the operational, communication, and collaborative methodologies of cross-functional teams in order to guarantee successful product results. It is crucial to optimise these teams in distant environments in order to sustain production, creativity, and cohesiveness. This study investigates methods and optimal approaches to improve the effectiveness of cross-functional teams involved in remote product development.The first part analyses the distinct obstacles encountered by cross-functional teams operating remotely, such as deficiencies in communication, disparities in time zones, and the possibility of diminished team unity. This underscores the need of developing explicit procedures for virtual communication, including frequent video conferences, asynchronous updates, and collaborative platforms that enable immediate interactions and exchange of documents. This research subsequently examines the function of technology in enhancing the efficiency of distant cross-functional teams. It underscores the importance of implementation of strong project management tools and platforms that facilitate the monitoring of tasks, allocation of resources, and management of milestones. In addition, the use of sophisticated communication technologies, including as video conferencing, instant messaging, and virtual whiteboards, being explored as a method to improve immediate cooperation and collaborative problem-solving.

Digital twin method for intelligent lifting of cable structures under multi-collaborative mode

In order to ensure the high efficiency and quality consistency of cable structure in each construction stage, this study proposes a digital twin method for intelligent lifting of cable structure under multi-collaborative mode. Firstly, a construction and operation methods of the digital twin logic model are formed. In the logical model, a relationship between the transmission and iteration of construction information in the collaborative process is defined. In order to realize the adaptability of working conditions, the coupling relationship between construction step and structural elevation is established. A cable structure lifting analysis model driven by an improved long short-term memory neural network is proposed, which effectively solves the problem of poor convergence of the traditional finite element method. An automatic time window selection method is formed for the neural network. An adaptive moment estimation method is used for neural network parameter optimization, which improves the efficiency and accuracy of the analysis. Taking the lifting process of a cable truss structure test model as an example, a digital twin collaborative construction platform is established to verify the effectiveness and feasibility of the research method. The results show that the digital twin logic model realizes the process collaboration, scene collaboration and data collaboration, and significantly improves the stability of construction quality and the linkage of construction process. Through the improved long short-term memory neural network, the coupling relationship between the construction step and the structural elevation is established, which accurately guides the whole construction process.

Evaluating the role of cloud integration in mobile and desktop operating systems

The integration of cloud computing has fundamentally transformed the landscape of mobile and desktop operating systems, enabling new levels of functionality, efficiency, and user experience. This review examines the role of cloud integration in these operating systems and its implications for both users and developers. Cloud integration enhances mobile and desktop operating systems by offering scalable storage solutions, seamless data synchronization, and enhanced computing power. For mobile systems, cloud services provide users with the ability to access their data and applications from any device, promoting a consistent user experience across different platforms. This synchronization feature not only streamlines personal data management but also enables developers to create more dynamic and responsive applications that leverage cloud resources for realtime updates and performance improvements. In desktop environments, cloud integration facilitates the storage of large volumes of data and the execution of resourceintensive applications without burdening local hardware. Cloudbased virtual machines and application delivery platforms offer users the flexibility to run highperformance software on less powerful devices, thus broadening the accessibility and usability of advanced desktop applications. Furthermore, cloud integration supports collaborative tools and shared workspaces, enhancing productivity and fostering realtime collaboration among users. The evaluation of cloud integration also involves assessing its impact on security, data privacy, and system performance. Cloudbased solutions introduce new security considerations, such as the need for robust encryption and secure authentication protocols to protect sensitive data. Additionally, the reliance on internet connectivity for accessing cloud services can pose challenges for users in areas with limited or unreliable network access. In conclusion, cloud integration plays a crucial role in modernizing both mobile and desktop operating systems, driving improvements in data accessibility, application performance, and user experience. As cloud technologies continue to evolve, their influence on operating systems will likely expand, offering new opportunities for innovation and addressing emerging challenges in security and connectivity. This ongoing integration represents a significant shift towards more flexible, efficient, and interconnected computing environments.

Position paper on high fidelity simulations for coupled processes, multi-physics and chemistry in geological disposal of nuclear waste

This opinion paper describes the major coupled T(Thermal)-H(Hydro)-M(Mechanical)-C(Chemical) processes in geological repository systems and the frontier of related model development. Particular focus is made on the analysis of existing approaches and open research questions with respect to the further development of coupled codes and models for realistic multi-scale simulations of repository systems. These include the use of machine learning and artificial intelligence in acceleration of computer codes; sensitivity analysis, inverse modelling and optimisation; software engineering and collaborative platforms for model development.

Developing collaborative ecosystem platforms to trigger sustainable “place-based” value creation: a dynamic performance governance approach

PurposeThis paper aims to illustrate how service ecosystem governance may provide a suitable ground to pursue holistic resilience to “wicked” socio-economic and ecological problems, for enhancing “place-based” sustainable performance outcomes through an organizational, interorganizational and context setting.Design/methodology/approachThis work suggests the use of “place-based” collaborative ecosystem platforms driven by a dynamic performance governance approach as a setting where facilitated performance dialogue is carried out among networked stakeholders. This fosters a holistic view of performance sustainability where intangibles, inertial, cultural and behavioral factors play a key role in policy analysis.FindingsThe paper illustrates how different research streams framing stakeholder relationships under a business, hybrid organization and public sector perspective converge toward the “service ecosystem” construct, as a common field for sustainable “place-based” value creation. This performance governance perspective frames accountability for achieving sustainable outcomes through interconnected viewpoints, i.e. (1) time (short vs long-term), (2) subject (single organization, “theme-focused” service ecosystem and “place-based” service ecosystem) and (3) field (socio-economic, cultural and ecological).Originality/valueThis work has an interdisciplinary track. It recommends feedback and “stock-and-flow” modeling to enhance framing counterintuitive patterns of behavior of dynamic complex socio-economic, cultural and ecological subsystems within “place-based” collaborative ecosystem platforms. Combining an inside-out with an outside-in view triggers sustainable outcome-based dynamic performance governance through an organizational, interorganizational and context setting.

Canadian Association for the Study of the Liver Single Topic Conference on Hepatitis B Virus: ‘Progress toward hepatitis B elimination in Canada’

Hepatitis B virus (HBV) infection affects &gt;290 million people worldwide, including ∼250,000 Canadians, and it stands as a leading cause of end-stage liver disease and liver cancer. The World Health Assembly has set goals for HBV elimination by 2030, aiming for a &gt;90% reduction in incidence and a 65% reduction in deaths compared to 2015. However, as of 2023, no countries were on track to achieve these targets. In Canada, challenges in HBV elimination persist due to the lack of a universal birth dose vaccine and interprovincial disparities in screening and care linkage. The Canadian Association for the Study of the Liver (CASL) and the Canadian Hepatitis B Network hosted the Inaugural Progress toward Hepatitis B Elimination Meeting in Calgary, Alberta, Canada (September 29, 2023 to October 1, 2023). This collaborative platform brought together national and international clinicians, laboratory providers, public health researchers, policymakers, and community-based organizations interested in HBV and hepatitis Delta virus (HDV) / HBV coinfection. The workshop was held during the National Day of Truth and Reconciliation (September 30, 2023) to commemorate the tragic legacy of residential schools in Canada, and it highlighted the need to promote meaningful reconciliation with Indigenous peoples. Key outcomes of the summit included establishing objectives for HBV elimination, advocating for adherence to global targets, universal screening and birth dose vaccination, equitable access to antiviral treatment across all provinces/territories, and addressing special populations. This overview highlights the presentations and emphasizes the importance of collaboration among stakeholders, public health agencies, and government entities to strive for HBV elimination in Canada.

Optimization test function synthesis with generative adversarial networks and adaptive neuro-fuzzy systems

This paper presents an approach to synthesizing optimization test functions that couples generative adversarial networks and adaptive neuro-fuzzy systems. A generative adversarial network produces optimization landscapes from a database of known optimization test functions, and an adaptive neuro-fuzzy system performs regression on the generated landscapes to provide closed-form expressions. These expressions can be implemented as fuzzy basis function expansions. Eight databases of two-dimensional optimization landscapes reported in the literature are used to train the generative network. Exploratory landscape analysis over the generated samples reveals that the network can lead to new optimization landscapes with features of interest. In addition, fuzzy basis function expansions provide the best approximation results when compared against two symbolic regression frameworks over several selected landscapes. Examples are used to illustrate the ability of these functions to model complex surface artifacts such as plateaus. The proposed approach can be used as a mathematical collaboration tool that couples generative artificial and computational intelligence techniques to formulate high-dimensional optimization test problems from two-dimensional synthesized functions.

Innovative methods for integrating translation memory and CAT tools: Enhancing intelligent support in human translation processes

This paper explores the innovative integration of Translation Memory (TM) and Computer-Assisted Translation (CAT) tools to enhance translation efficiency, consistency, and quality in multinational organizations. By adopting a user-centric interface design, modular system architecture, and cloud-based deployment, the integrated system addresses diverse translation needs while ensuring data security and privacy. Key features include real-time translation suggestions powered by machine learning algorithms, seamless access to TM databases, and real-time collaboration tools. The paper discusses implementation strategies, challenges, and solutions, highlighting the importance of user training and continuous improvement. A case study demonstrates significant improvements in translation speed, accuracy, and user satisfaction, underscoring the potential of advanced translation technologies to transform translation workflows. The findings provide valuable insights into best practices for successful implementation and optimization of TM and CAT tools in complex, large-scale environments.

Tapestry: Collaborative Tool for Regional Data and Modeling

This paper introduces and describes the Tapestry regional economic data and modeling project. Tapestry is an open source set of data generating algorithms, harmonization bridges, data organizing procedures and data models. It is also a database that provides access to Tapestry also represents a collaborative environment where researchers can use and improve data generating algorithms and methods. Tapestry represents many types of regional economic data and models, but ultimately it is designed to generate inter-regional social accounting matrices for every county in the United States.