Team Formation Research Articles

New possibilities or problems for disability and inclusion? The case of AI and ADMs across work

In this paper, we examine new and emerging uses of artificial intelligence (AI) and automated decision making (ADM) across various aspects of work, namely hiring, job redesign, and team formation, and their impact on disabled people. Building on disability as both a generative form of embodiment and knowledge, we consider how AI and ADMs can enable and empower disabled people for work, but also their inherent problems and contradictions. We ask the following questions: What are the implications for disabled workers? And importantly, how can we make these systems fairer and more inclusive, especially for disability?

Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks

As online social networks (OSNs) become more prevalent, a new paradigm for problem-solving through crowd-sourcing has emerged. By leveraging the OSN platforms, users can post a problem to be solved and then form a team to collaborate and solve the problem. A common concern in OSNs is how to form effective collaborative teams, as various tasks are completed through online collaborative networks. A team’s diversity in expertise has received high attention to producing high team performance in developing team formation (TF) algorithms. However, the effect of team diversity on performance under different types of tasks has not been extensively studied. Another important issue is how to balance the need to preserve individuals’ privacy with the need to maximize performance through active collaboration, as these two goals may conflict with each other. This research has not been actively studied in the literature. In this work, we develop a team formation (TF) algorithm in the context of OSNs that can maximize team performance and preserve team members’ privacy under different types of tasks. Our proposed PR iv A cy- D iversity- A ware T eam F ormation framework, called PRADA-TF , is based on trust relationships between users in OSNs where trust is measured based on a user’s expertise and privacy preference levels. The PRADA-TF algorithm considers the team members’ domain expertise, privacy preferences, and the team’s expertise diversity in the process of team formation. Our approach employs game-theoretic principles Mechanism Design to motivate self-interested individuals within a team formation context, positioning the mechanism designer as the pivotal team leader responsible for assembling the team. We use two real-world datasets (i.e., Netscience and IMDb) to generate different semi-synthetic datasets for constructing trust networks using a belief model (i.e., Subjective Logic) and identifying trustworthy users as candidate team members. We evaluate the effectiveness of our proposed PRADA-TF scheme in four variants against three baseline methods in the literature. Our analysis focuses on three performance metrics for studying OSNs: social welfare, privacy loss, and team diversity.

Monitoring the Training of School Management Teams in Educational Institutions of the Novosibirsk Region

Introduction. The article discusses topical problems of team building typical for state educational organizations. The problems of team formation, formal leadership and the differences between a team and a working group are considered. The purpose of this article is to present the methodological grounds for the use of team building in the management activities of school leaders, as well as to show the monitoring of the training of management teams in the Novosibirsk region. Methodology. The study of the possibilities of using the technology of team building in the organization of innovative activities of teachers of educational organizations (on the example of management teams of schools in the Novosibirsk region) was carried out in several stages: organizational, diagnostic, approbation, and reflexive-evaluative. The purpose of the monitoring was to study the conditions created for the professional growth of members of school management teams at the regional and municipal levels, as well as the demand for various forms of training. Also, in the course of monitoring, information was collected on organizations that train management teams. Results. The analysis of the information provided has shown that the heads of general educational organizations and representatives of municipal educational authorities often do not understand what the concept of “training of management teams” includes and often replace it with a referral to advanced training courses and training events of the group. Conclusion. The monitoring recorded the need to form a system of work at the regional and municipal levels to organize the training of school management teams. Heads of educational institutions should consciously approach the issues of team building and assess the need to create a team based on the actual need.

Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities

Team-based worker selection has been extensively studied for Mobile Crowdsourcing (MCS), in which a set of workers are recruited to form a team to complete complex tasks collaboratively. However, existing studies face two typical challenges: 1) how to dynamically evaluate workers’ individual abilities and collaborative contributions to the team; 2) how to select unknown workers to form a team with high quality at low cost. To tackle the above challenges, this paper proposes an Integration of Individual and Collaborative Abilities based Dynamic Worker Selection (IICA-DWS) algorithm to recruit excellent workers as a team in a high-quality and low-cost style. In the IICA-DWS algorithm, each worker’s individual ability and collaborative contribution to the team are evaluated more accurately using the Approximate Shapley Value (ASV). In addition, a high-quality team formation method is established to complete complex tasks at low cost. This involves the selection of both team leaders and team members. In this process, the Multi-Armed Bandit (MAB) model is adopted to dynamically select excellent workers using exploration and exploitation phases. Lastly, the IICA-DWS algorithm is evaluated through theoretical analysis and experimental results. The results show that the IICA-DWS algorithm can improve the data quality of tasks by 47.3% and reduce the cost by 61.7% on average. Moreover, the IICA-DWS algorithm has a high probability of approximating optimal results, which shows the best performance among the comparative algorithms.

Do perfectionism types matter? Auditors' ability to detect fraud and the moderating role of time budget pressure: evidence from Egypt

Purpose This study aims to examine how auditors' perfectionism types and time budget pressure (TBP) influence fraud detection in Egypt. Design/methodology/approach We utilize a mixed-methods approach, combining questionnaires with an experimental case study in a within-subjects quasi-experimental design. Based on Almost Perfect Scale-Revised (APS-R), perfectionism traits were categorized using cluster analysis into adaptive, maladaptive, and non-perfectionism. Auditors from Egyptian firms performed fraud-related tasks with TBP manipulated. Findings Auditors' perfectionism types significantly influence fraud detection capabilities. Adaptive perfectionists demonstrated higher relevance in identifying fraud factors and excelled in accurately assessing fraud risks and audit procedures planning. Conversely, maladaptive perfectionists identified more but less relevant factors. TBP notably impacted maladaptive and non-perfectionist auditors' planning quality, unlike adaptive perfectionists, who showed resilience. Practical implications Findings provide insights to audit firms to bolster audit quality through team formations and task assignments, harnessing the strengths of adaptive and maladaptive perfectionists. Regulatory entities are positioned to integrate safeguards that recognize auditor capabilities and vulnerabilities, particularly under TBP. Considering psychological assessments in auditor selection and development assures alignment of traits with audit tasks, enhancing audit quality. Originality/value This study breaks new ground in the effects of auditor perfectionism on fraud detection, considering situational factors like TBP in emerging markets. Through a mixed-methods approach and cluster analysis, it reveals how different perfectionism traits influence audit effectiveness, offering insights not previously considered in auditing literature and suggesting practical applications for enhancing fraud detection in similar contexts.

INOVASI KOMUNIKASI PUBLIK: STRATEGI PENGEMBANGAN MEDIA PODCAST SEBAGAI ALAT INFORMASI DAN PELAYANAN PUBLIK DI DESA BANJARSARI KABUPATEN PROBOLINGGO

Current technological advances have begun to give rise to many new media trends, one of which is podcasts. Banjarsari Village, Probolinggo Regency is one of the villages that has a podcast program managed by PIK-R Banjarsari Youth. This program is one example of the information media and public services in the current era of digitalization. However, the problem is, that Banjarsari Village does not utilize existing facilities, and the podcast made has not reached most of the people of Banjarsari Village. Therefore, this study aims to formulate a podcast development strategy to build a digital society and provide digital-based public services in Banjarsari Village. This research uses a descriptive research method with a qualitative approach. Data collection is used through primary data, namely interviews, observations, documentation, and secondary data such as journal articles, reference books, websites, and also previous research. Through the perspective of Robbins and Coulter's strategy theory, it was found that there are three levels of strategy. First, corporate strategy, adding a YouTube channel as a differentiator of discussion topics and being active in social media as a consulting room. Second, competitive strategies, there needs to be consistency in uploading content and podcast administrators must be good at choosing content concepts and themes that can attract the attention of the audience. Third, functional strategy, the formation of a production team in creating podcast content as well as mentoring and training to Banjarsari Village youth. Keywords: Strategy; Podcast; Public Information; Public Service

Strategi Inovasi Untuk Meningkatkan Pelayanan Perizinan Penelitian Asing

Indonesia's natural and cultural riches have attracted the attention of foreign researchers to conduct research in Indonesia. Indonesia is considered to be one of the largest biological laboratories in the world, so there are many objects that can be used for research by foreign researchers. To provide research licensing services for foreign researchers who wish to conduct research in Indonesia, a legal basis was issued, namely Law No. 11 of 2019 concerning the National System of Science and Technology which regulates research licensing for foreign researchers in Indonesia. As a supporter of Law no. 11 of 2019, BRIN Regulation no. 22 of 2022 concerning Ethical Clearance has been issued. To provide foreign research licensing services according to Law No. 11 of 2019, it is carried out by the Directorate of Research and Innovation Licensing and Scientific Governance of the National Research and Innovation Agency (BRIN). To make it easier to apply for research permits for foreign researchers, several service improvements were made, namely the first was the formation of an ethics commission team to replace the TKPIPA team to evaluate incoming proposals. Second, the number of files that foreign researchers need to prepare is less than before, namely from 14 documents to 7 documents. Third, creating an ethical clearance website to upload the required files in digital form which was previously done offline and submitting hard copy files. Fourth, the addition of financial reporting features to make it easier to check payments and send research progress reports by foreign researchers.

'Probably just sexism'- gendered experiences of resource access in rugby.

Research pertaining to the experiences of women in rugby is scarce, which, coupled with the limited visibility of the sport and difficulty accessing resources, suggest that women's rugby remains undervalued. Indeed, evidence of such gender inequalities remains largely anecdotal, with little rigorous research undertaken to understand the perspectives of women in rugby. This study aimed to explore the experiences of a diverse cohort of rugby players in relation to their participation in the sport and their ability to access resources. Twenty UK-based rugby players (10 men, 9 women and 1 non-binary person aged 29.1 ± 8.3 years) from school, university, club, military, and semi-professional environments, volunteered to participate in semi-structured interviews (36 ± 12 minutes) discussing their rugby experiences in relation to their gender and playing level. Interviews were transcribed verbatim, and a reflexive thematic analysis was undertaken. A widespread under-prioritisation of women in rugby was highlighted. Gender biases were apparent in access to changing rooms, pitches, quality coaches, and playing opportunities, and were reportedly propagated at the managerial level. Irrespective of gender, some amateur players reported difficulty accessing a suitable rugby environment. Insufficient player numbers precluded the formation of second teams, often resulting in inexperienced players competing beyond their ability. Women's rugby players experienced considerable gender bias. This exploratory study highlights a need to address such issues to protect player welfare. Interventions to change the culture in rugby clubs and increased representation of women in managerial positions in rugby are recommended to enact meaningful change.

Exploring the current state of technology transfer in the United States: perspectives and improvement strategies from the experts.

Technology transfer (TT) is a necessary, yet complex process to convey and disseminate scientific knowledge to the commercial sector. However, multiple barriers in TT can impede commercialization and innovative progress. To cultivate a deeper understanding, we conducted five interviews with strategic, elite leaders in different areas of TT in the United States. Experts shared their perspectives on the current state of TT, what needs improvement, and potential solutions to enhance the TT landscape, with a focus on biotechnology and medical devices. The formation of strong management teams, a comprehension of the regulatory, reimbursement, and funding pathways and policies, and thorough market assessments were noted as key aspects for venture success. Collaboration with Technology Transfer Offices (TTOs), industry experts, and strategic partners are also essential to support academic innovators and guide them throughout the complex commercialization process. There is agreement that a venture should have a defined vision and clear goals with a robust business case for the innovation; early involvement of TTOs is essential. Comprehension of the complexities and key facets of TT, while also streamlining the process, will better position biomedical innovators for success.

Becoming a thrombectomy-capable stroke center: Clinical and medico-economical effectiveness at the hospital level.

Too few patients benefit from endovascular therapy (EVT) in large vessel occlusion acute stroke (LVOS), and various acute stroke care paradigms are currently investigated to reduce these inequalities in health access. We aimed to investigate whether newly set-up thrombectomy-capable stroke centers (TSC) offered a safe, effective and cost-effective procedure. This French retrospective study compared the outcomes of LVOS patients with an indication for EVT and treated at the Perpignan hospital before on-site thrombectomy was available (Primary stroke center), and after formation of local radiology team for neurointervention (TSC). Primary endpoints were 3-months functional outcomes, assessed by the modified Rankin scale. Various safety endpoints for ischemic and hemorragic procedural complications were assessed. We conducted a medico-economic analysis to estimate the cost-benefit of becoming a TSC for the hospital. The differences between 422 patients in the PSC and 266 in the TSC were adjusted by the means of weighted logistic regression. Patients treated in the TSC had higher odds of excellent functional outcome (aOR 1.77 [1.16-2.72], p = 0.008), with no significant differences in the rates of procedural complications. The TSC setting shortened onset-to-reperfusion times by 144 min (95% CI [131-155]; p < 0.0001), and was cost-effective after 21 treated LVOS patients. On-site thrombectomy saves 10.825€ per patient for the hospital. Our results demonstrate that the TSC setting improves functional outcomes and reduces intra-hospital costs in LVOS patients. TSCs could play a major public health role in acute stroke care and access to EVT.

Multidisciplinary team meeting Chairs' attitudes and perceived facilitators, barriers and ideal improvements to meeting functionality: A qualitative study.

Oncology care provision by multidisciplinary teams (MDTs) is widely acknowledged as best practice. Formal team meetings, led by chairpersons, coordinate decisions on diagnosis, staging, treatment planning, and review. This study addresses a gap in meeting Chairs' perspectives on factors affecting functionality across the meeting cycle, from pre-meeting patient list triage to post-meeting dissemination of recommendations. Semi-structured interviews were conducted in person with Chairs within two urban geographical regions in New South Wales, Australia as part of a larger project. Though the population of oncology MDT Chairs in Australia is small, the richness and depth of data from nine Chairs were considered to be valuable knowledge in support of extant literature on meeting functionality. An integrated deductive-inductive approach was applied to data analysis. Perceived facilitators, barriers, and ideals relating to pre-meeting, in-meeting, and post-meeting functionality were identified across five pre-determined analytic categories: the team; meeting infrastructure; meeting organization and logistics; patient-centered clinical decision-making, and; team governance. Key barriers included inadequate information technology, limited support staff, and lack of dedicated time for Chair duties. Corresponding facilitators included robust Information Technology infrastructure and support, provision of clinically knowledgeable MDT meeting coordinators, and formal employment recognition of Chairs' responsibilities and skill sets. Chairs across various tumor streams develop workarounds to overcome barriers and ensure quality meeting outcomes. With more robust support they could enhance value by sharing evidence, conducting audits, and engaging in research. The findings highlight the need for healthcare systems to support tumor stream clinical networks by allocating greater resources to prioritize multidisciplinary meetings and cancer care decision-making.

Meningkatkan Minat dan Keaktifan Belajar Peserta Didik Pada Pelajaran Sejarah Melalui Penerapan Pembelajaran Teams Games Tournament (TGT) dengan Media Teka-Teki Silang di Kelas X-12 SMA Negeri 3 Medan

This research aims to increase students' active learning in the subject of History through the implementation of Teams Games Tournament (TGT) learning using crossword puzzles in class X-12 at SMA Negeri 3 Medan. The method used in this research is Classroom Action Research (CAR) with a target of 36 students. The indicators used in this research are the teacher's ability to use and apply research media and methods, as well as the results after implementing learning using crossword puzzles. Meanwhile, the techniques used for data collection are observation techniques based on observations, questionnaires and documentation techniques. The results of this research show that in cycle 1, students' learning interest and activeness tend to be low/low due to conventional learning strategies, where students' learning interest shows a percentage of 69.72%. Meanwhile, in cycle 2, students' interest in learning history increased to 81.38%. In this case, students' interest in learning history lessons increased by 11.66%. The application of Crossword Puzzle media in History learning through the Teams Games Tournament (TGT) model can provide good stimulation and stimulus to increase students' learning activity such as listening activity, writing activity, movement activity and emotional activity. The formation of groups or teams in this game encourages activeness to be able to work together quickly because they have to compete with other groups.

Antecedents of student team formation in higher education

Antecedents of student team formation in higher education

Computational Analysis of Aerodynamic Drafting Effects in Lemans Racing Cars

Le Mans racing is a comprehensive motorsport event that tests not only the long-distance stability of race cars but also considers fuel economy and speed, where aerodynamics plays a crucial role. Many manufacturers place great emphasis on the aerodynamic design of race cars. However, in-depth research on the application of drafting effects in Le Mans racing and studies on team formations are somewhat lacking. Through Ansys simulations, this study deeply explores the impact of drafting on race cars and, by varying the distances between cars, identifies differences in air resistance encountered by different formations. The findings reveal that drafting can substantially decrease the aerodynamic drag experienced by race cars when they are positioned at relatively close proximities to each other. As this distance increases, a "drag bubble" phenomenon occurs within a certain range, where the trailing cars begin to experience increased resistance. On the other hand, the study of car formations under race-regulated conditions has identified optimal vehicle spacing that minimizes the average aerodynamic drag faced by the team, providing strategic insights into the arrangement of team formations for improved race performance.

Abstract PO3-06-03: Overall Survival and Disease Interval Among Breast Cancer Subtypes in Patients with Brain Metastasis

Abstract Background: Breast cancer brain metastasis (bcbm) is associated with limited survival. There is a paucity of clinical trials and real-world data on the survival and disease interval [primary breast cancer (pbc) to metastatic breast cancer (mbc) or bcbm] of bcbm patients. We performed a retrospective study comparing the overall survival (OS) and disease intervals (INT) between the date of pbc surgery, diagnoses of mbc, and bcbm among 3 subtypes of bc in patients with bcbm. Methods: The informatics team generated a preliminary list of patients with a history of breast cancer and brain metastasis who were treated at the Wilmot Cancer Institute (WCI) of the University of Rochester. Key inclusion criteria were evidence of bcbm, bcbm diagnosed between Jan 1st, 2010 and June 1st, 2021, and adequate medical records available. Patients with de novo mbc were excluded. Final eligible patients were registered for the study. Median OS in bc subtypes was assessed with the Kaplan-Meier method and compared using the log-rank test. Median INTs among bc subtypes were compared using the Kruskal-Wallis test. Registered patients were divided into triple-negative (TNBC), estrogen receptor-positive/HER2 negative (ER+/HER2-), and HER2+ subtypes. Results: Out of 191 patients screened, 83 patients were eligible for the study. The total number of patients enrolled by subtype was 26 (TNBC), 35 (ER+/HER2-), and 22 (HER2+). Disease and patient characteristics are shown in Table 1. Median OS from pbc, mbc, and bcbm among 3 subtypes are shown in Table 2. The differences in the median OS from these 3 different time points were not statistically significant among 3 subtypes. After adjusting for important variables (age, race, tumor grade, stage, and presence of perioperative therapy) in a Cox regression model, there was still no statistical evidence that these 3 subtypes differed in OS. Three different INTs (pbc-mbc, pbc-bcbm, mbc-bcbm) among 3 subtypes are shown in Table 3. INTpbc-mbc and INTpbc-bcbm were significantly different among 3 subtypes of bc. After adjusting for the factors in the model, the subtypes didn’t differ significantly with respect to INTpbc-mbc and INTpbc-bcbm. Stage 3 at pbc was significantly associated with shorter INTpbc-mbc and INTpbc-bcbm. The distribution of INTmbc-bcbm was highly non-normal due to the high % of patients with concurrent diagnoses of mbc and bcbm. Thus an exploratory logistic regression model assessed the association of subtypes and important variables with the odds of having mbc and bcbm concurrently (INTmbc-bcbm&amp;lt; 1 month). It showed that the ER+/HER2- subtype had 4 times lower odds of concurrent mbc and bcbm diagnosis than the HER2+ subtype (p=0.03). In an unadjusted pairwise comparison between the subtypes (Table 3), the ER+/HER2- group had statistically longer INTpbc-mbc and INTpbc-bcbm than TNBC. However, when the subtypes were adjusted for Stage 3 vs 1 or 2, these subtypes were not significantly different for these INT. In our study, a higher proportion of Stage 3 tumors in TNBC subtype is likely associated with the shorter INTs seen with TNBC in unadjusted analysis. Conclusion: Adjusted comparison of OS and disease intervals from pbc between TNBC, ER+/HER2-, and HER2+ subtypes were not statistically different in this cohort of bcbm patients. Interestingly, median OS from mbc were numerically very similar (3.6-3.7 years) among these subtypes. Median OS from pbc and bcbm were numerically longer in HER2+ bc than the other 2 subtypes. Intervals between pbc to mbc and to bcbm and between mbc to bcbm were numerically longer in ER+/HER2- subtypes than the other 2 subtypes. ER+/HER2- subtype was 4 times less likely to have concurrent bcbm at the time of mbc diagnosis than the HER2+ subtype. These results are exploratory and hypotheses generating. Table 1: Disease and Patients Characteristics Table 2: Overall Survival Unadjusted Table 3: Disease Intervals Unadjusted Citation Format: Asis Shrestha, Sugam Gouli, Sujan Niraula, Ramandeep Babbra, Niraj Neupane, Sarah Stanford, Myla Strawderman, Zeni Kharel, Huina Zhang, Sara Hardy, Nimish Mohile, Carey Anders, David Hicks, Ruth O'Regan, Ajay Dhakal. Overall Survival and Disease Interval Among Breast Cancer Subtypes in Patients with Brain Metastasis [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-06-03.

CCTFv2: Modeling Cyber Competitions.

Cyber competitions are usually team activities, where team performance not only depends on the members' abilities but also on team collaboration. This seems intuitive, especially given that team formation is a well-studied discipline in competitive sports and project management, but unfortunately, team performance and team formation strategies are rarely studied in the context of cybersecurity and cyber competitions. Since cyber competitions are becoming more prevalent and organized, this gap becomes an opportunity to formalize the study of team performance in the context of cyber competitions. This work follows a cross-validating two-approach methodology. The first is the computational modeling of cyber competitions using Agent-Based Modeling. Team members are modeled, in NetLogo, as collaborating agents competing over a network in a red team/blue team match. Members' abilities, team interaction and network properties are parametrized (inputs), and the match score is reported as output. The second approach is grounded in the literature of team performance (not in the context of cyber competitions), where a theoretical framework is built in accordance with the literature. The results of the first approach are used to build a causal inference model using Structural Equation Modeling. Upon comparing the causal inference model to the theoretical model, they showed high resemblance, and this cross-validated both approaches. Two main findings are deduced: first, the body of literature studying teams remains valid and applicable in the context of cyber competitions. Second, coaches and researchers can test new team strategies computationally and achieve precise performance predictions. The targeted gap used methodology and findings which are novel to the study of cyber competitions.

Investigating the influence of organizational culture on team management: exploring effective factors and techniques

This qualitative research examines how organizational culture intersects with team management in the construction industry. Conducting interviews with nine experienced construction project managers and team members, we collected data using a qualitative approach. We applied content analysis to scrutinize the gathered data, addressing the central question: 'Which strategies and techniques within organizational culture are essential for efficiently managing construction teams?' Our primary objectives were to clarify the intricate relationship between organizational culture and team management and outline key strategies crucial for effective team management. Consequently, the research revealed seven fundamental factors pivotal in facilitating effective team management, each accompanied by corresponding techniques. These factors encompass team formation and composition strategy, effective communication with the project team, employee development, team members' support, empowerment and autonomy, cultivation of a collaborative culture of trust and respect, and recognition and rewards policy. This study offers crucial insights into the correlation between organizational culture and successful construction team management, identifying vital strategies and techniques to enhance productivity, cohesion, and efficiency within construction teams

Analyzing Players' Tactical Positions and Movement Trajectories in Soccer Matches Using Machine Vision Algorithms

Tactical positions and movement trajectories in soccer matches using machine vision algorithms involves leveraging computer vision techniques to track players and the ball throughout the game. By processing video feeds from multiple cameras, machine vision algorithms can identify players, recognize their positions on the field, and map out their movement trajectories over time. This analysis provides valuable insights into team formations, player positioning, and tactical strategies employed during matches. Coaches and analysts can use this information to assess team performance, identify patterns in gameplay, and make data-driven decisions to optimize tactics and training regimes. Machine vision algorithms enhance the understanding of soccer dynamics, facilitating more strategic and effective approaches to coaching and gameplay.. This paper presents a comprehensive analysis of player movement, tactical positions, and detection in soccer matches using machine learning algorithms. Leveraging a simulation environment built upon a Recurrent Neural Network (RNN) model trained on historical match data, we investigate the efficacy of the model in accurately predicting future player positions based on contextual features such as player trajectories and ball movement. Furthermore, we explore the model's ability to estimate tactical movements during specific time intervals, providing valuable insights for coaches and analysts in understanding team strategies and adapting to match dynamics. Additionally, we evaluate player detection systems to assess their capabilities and limitations, laying the groundwork for future improvements in player tracking technologies. Our findings underscore the potential of machine learning in soccer analytics, offering actionable insights for enhancing performance analysis, strategic decision-making, and overall understanding of the game. Our results show a high prediction accuracy, with an average Mean Squared Error (MSE) of 0.05. Furthermore, we explore the model's ability to estimate tactical movements during specific time intervals, achieving an overall prediction accuracy of 85%. Additionally, we evaluate player detection systems to assess their capabilities and limitations, achieving a detection accuracy of 90%.

Inspiratif (comprehensive stunting prevention initiative): Specific stunting intervention efforts in Pangkajene Kepulauan District

The higher prevalence of stunting in South Sulawesi compared to the national average poses a significant health concern for children, thus necessitating accelerated efforts to reduce stunting. One of the updated strategies for accelerating stunting reduction is the family-centered approach through mentoring families at risk of stunting via the formation of Family Mentor Teams (TPK). Therefore, the objective of this community service is to enhance the role of TPKs by providing comprehensive training on the handling and prevention of stunting from pre-conception to children aged 0-59 months. The implementation method utilizes community-based participatory research (CBPR). The activity was attended by 139 TPKs from 12 districts. The results of the activity demonstrate the effectiveness of the training, as evidenced by an increase in participants' knowledge scores in the post-test (12.96 ± 1.44) compared to the pre-test scores (11.12 ± 1.73).

Case Conceptualization in Clinical Practice and Training.

Case conceptualization is central to the success of the therapeutic process. However, integrative case conceptualization research has lagged behind research on integrating therapeutic intervention techniques. A successful case conceptualization provides (a) a dynamic, context-sensitive, yet parsimonious model of the client's functioning; (b) relevant treatment targets and associated assessment procedures; and (c) a treatment plan including intervention phases and potential obstacles. Success in case conceptualization is a core clinical competency goal for trainees in clinical psychology and a career-long learning goal even for expert clinicians. Emerging technological trends and the formation of adversarial collaborative teams may assist research on the utility of well-constructed case conceptualizations.