Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…The MDP framework then determines each node’s decision-making with the focus on load offloading policies that are aligned with rewards that promote per node balance and penalties for offloading a larger load than it can handle.These models are then incorporated into our proposed PCA-MDP system to achieve dynamic load balancing with low variability in resource usage among nodes. …”
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Experiences and perceptions of respectful maternity care among mothers during childbirth in health facilities of Eastern province of Rwanda: An appreciative inquiry. by Alice Muhayimana, Irene Josephine Kearns, Darius Gishoma, Olive Tengera, Thierry Claudien Uhawenimana

“…Mothers recommended to be more involved in decision-making, maintaining an optimal environment for childbirth, and enhancing community trust and professionalism in maternity care. …”
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Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling by Oleksandr Dudin, Oleksandr Dudin, Ozar Mintser, Vitalii Gurianov, Nazarii Kobyliak, Nazarii Kobyliak, Denys Kozakov, Sofiia Livshun, Oksana Sulaieva, Oksana Sulaieva

“…This drives to identification of prognostic biomarkers for predicting CM recurrence to guide appropriate treatment in patients with localized melanoma.AimThis study aimed to develop a prognostic model for assessing the risk of recurrence in patients with CM, enabling prompt prognosis-driven further clinical decision-making for high-risk patients.Materials and methodsThis case-control study included 172 patients with CM recurrence (high-risk group) and 30 patients with stable remission (low-risk group) 3 years after primary diagnosis. …”
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Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Mike Nsubuga, Timothy Mwanje Kintu, Helen Please, Kelsey Stewart, Sergio M. Navarro

“…These findings suggest a promising opportunity to advance trauma care in LMICs by integrating ML into triage decision-making. By leveraging basic demographic and clinical data, these models could provide a foundation for improved resource allocation and patient outcomes, addressing the unique challenges of resource-limited settings. …”
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Benchmarking LLM chatbots’ oncological knowledge with the Turkish Society of Medical Oncology’s annual board examination questions by Efe Cem Erdat, Engin Eren Kavak

“…Abstract Background Large language models (LLMs) have shown promise in various medical applications, including clinical decision-making and education. In oncology, the increasing complexity of patient care and the vast volume of medical literature require efficient tools to assist practitioners. …”
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DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

“…IntroductionGlioma segmentation is vital for diagnostic decision-making, monitoring disease progression, and surgical planning. …”
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Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics by Elin Theilen, Anna Rorich, Thomas Lange, Sebastian Bendak, Cora Huber, Hagen Schmal, Kaywan Izadpanah, Joachim Georgii

“…<italic>Conclusions:</italic> Reaching high accuracy, our individual FE model can be used in the decision-making process to restore knee joint stability and functionality after various knee injuries.…”
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Postpartum haemorrhage following vaginal delivery: a comprehensive analysis and development of predictive models for aetiological subgroups in Chinese women by Hong Lin, Dandan Zhang, Jinke Li, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Zixuan Song

“…Our goal was to craft and validate predictive models to guide clinical decision-making and optimise resource allocation.Design A retrospective cohort study.Setting Shengjing Hospital of China Medical University, Liaoning Maternal and Child Health Hospital, and Shenyang Women’s and Children’s Hospital.Participants 29 842 women who underwent vaginal delivery were enrolled in the study across three hospitals from 2016 to 2022.Primary outcome measures PPH, categorised into uterine atony (UA), placental factors (PF), cervical trauma (CT), and coagulation abnormalities (CA) by aetiology.Results The logistic regression for overall PPH and UA-PPH showcased high discrimination (AUCs of 0.807 and 0.794, respectively), coupled with commendable calibration and DCA-assessed clinical utility, culminating in the development of a nomogram for risk prediction. …”
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Spatial assessment of soil erosion using the revised universal soil loss equation (RUSLE) model for sustainable marine ecosystems in the coastal of northern part, Aceh Province by Nanda Muhammad, Alwan Muhammad, Ghufran Muhammad, Fahlefy M. Iqbal Ichsan, Husein Ismail, Haridhi Haekal Azief, Munir Badrul, Sari Intan Mulia, Asyqari Amir, Hasyem Tarmizi, Muhammad Muhammad, Permatasari Indah, Yunus Sayed

“…The findings highlight the significance of geospatial tools to encourage evidence- based decision-making for sustainable management of coastal and marine resources.…”
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The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort by Martin Pariès, Stéphanie Bougeard, Aida Eslami, Zhonglin Li, Michel Laviolette, Louis-Philippe Boulet, Evelyne Vigneau, Yohan Bossé

“…PRS used in a multivariate method offers a decision-making space similar to hyperresponsiveness in this cohort and highlights the most informative and asymmetrical thresholds to define high and low genetic risk of asthma.…”
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Smallholder farmers’ knowledge, attitudes and practices towards biological control of papaya mealybug in Kenya by Kate Constantine, Fernadis Makale, Idah Mugambi, Harrison Rware, Duncan Chacha, Alyssa Lowry, Ivan Rwomushana, Frances Williams

“…Abstract Background Farmer perceptions are highly important in influencing on-farm pest management decision-making. Biological control is extremely sustainable in the smallholder production context, but in Sub Saharan Africa (SSA) few attempts using this pest control method for arthropod pests have been successful, with one of the key reasons cited as poor involvement of farming communities and extension in the dissemination of information. …”
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Are free school meals failing families? Exploring the relationship between child food insecurity, child mental health and free school meal status during COVID-19: national cross-se... by Maria Bryant, Tiffany C Yang, Madeleine Power, Bridget Lockyer, Rachael H Moss, Wendy Burton, Bob Doherty

“…This study examined levels of food security and FSM status to support decision-making regarding increasing the current eligibility criteria.Design Two cross-sectional national surveys administered in August–September 2020 and January–February 2021 were used to examine the impact of COVID-19 on the food experiences of children and young people.Setting UK.Participants 2166 children (aged 7–17 years) and parents/guardians.Main outcome measures Participant characteristics were described by food security and FSM status; estimated marginal means were calculated to obtain the probability of poor mental health, expressed as children reporting feeling stressed or worried in the past month, by food security status and FSM status.Results We observed food insecurity among both children who did and did not receive of FSM: 23% of children not receiving FSM were food insecure. …”
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Are Trends in Economic Modeling of Pediatric Diabetes Mellitus up to Date with the Clinical Practice Guidelines and the Latest Scientific Findings? by Roque Cardona-Hernandez, Alberto de la Cuadra-Grande, Julen Monje, María Echave, Itziar Oyagüez, María Álvarez, Isabel Leiva-Gea

“…**Conclusions:** Economic models represent useful tools to inform decision making. However, further research assessing the gaps is needed to enhance evidence-based health economic modeling that best represents reality.…”
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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Evidence-based dentistry (EBD) is regarded as the gold standard for decision making by dental professionals, while AI machine learning (ML) models learn from human expertise. …”
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Quality of Life in Mild Cognitive Impairment and Mild Dementia Associated with Alzheimer’s Disease: A Systematic Review by Joanna Campbell, Louis Lavoie, Mariana Farraia, Rachel Huelin, Quanwu Zhang, Amir Abbas Tahami Monfared

“…These findings can contribute to a more informed approach in clinical practice and support decision-making in the management of early-stage AD.…”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…The results show that this integrated approach reduces exploration risk, quantifies the chance of success, and enhances decision-making in well placement and hydrocarbon exploration. …”
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INFLUENCE OF INTEGRATED FINANCIAL MANAGEMENT INFORMATION SYSTEM (IFMIS) ON THE PERFORMANCE OF GOVERNMENT ENTITIES IN NIGERIA by Salaudeen Ibrahim, Abdul-Hakeem Shuaib, Muhammed Basiru Mustapha, Benuh Adama Idris, Tunde Saka Abdulsalam

“…The study recommends therefore, that government should endeavour to provide strong Information Technology (IT) infrastructure and the right capacity building of the operators as it is expected to increase the level of performance in entities’, and assist in providing more meaningful information for decision making process. …”
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Biomechanical Characteristics of First Coronal Reverse Vertebrae in Lenke Type V Adolescent Idiopathic Scoliosis: A Study Using Finite Element Analysis by Zhenguo Shang, Zhiyong Hou, Wei Chen, Hengrui Chang, Jiaxin Xu, Di Zhang, Hui Wang

“…These findings could contribute to further treatment planning for the patient and aid physicians' management decision‐making.…”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Future research must prioritize developing models that can provide clear explanations of their decision-making processes, as well as ensuring that they do not disproportionately affect certain groups. …”
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Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram by Rui Yang, Xiaozhe Su, Ziqi Liu, Shuai Shao, Yinhuai Wang, Hao Su, Haiqing He

“…Conclusions In summary, the developed prediction model demonstrated accuracy for AKI patients in the ICU and helped clinical decision-making. However, future studies will require external validation to confirm these findings.…”
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