TEACHING AND LEARNING METHODS by S. R. GUNERATHNE, FMMT MARIKAR

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Development and validation of risk-stratified biopsy decision pathways incorporating MRI and PSA-derived indicators by Pengfei Jin, Ximing Wang, Zhenwei Ding, Liqin Yang, Chenyang Xu, Xu Wang, Fawei Huang

“…Subsequently, PSAD and f/tPSA were divided into four intervals, which were then combined with the MRI findings to construct two risk stratification matrix tables. Six biopsy decision pathways were established: three clinical pathways based solely on PSAD and f/tPSA, and three MRI-combined pathways incorporating both PI-RADS and PSA-derived indicators. …”
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Implementation of a Flexible Manufacturing System in a production cell of the automotive industry: decision and choice by Miguel Afonso Sellitto, Vagner Gerhardt Mancio

“…The method considered three technological alternatives A1, a ladder-type layout, conveyor and pneumatic devices, A2, an open field layout and automatic guided vehicles, and A3, a robot-centered layout and robotic arms. …”
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Prediction of sleep disorders using Novel decision support neutrosophic based machine learning models by Nihar Ranjan Panda, Surapati Paramanik, Prasanta Kumar Raut, Ruchi Bhuyan

“…This study introduces a novel decision support system utilizing a neutrosophic machine learning prediction model to enhance the accuracy and reliability of sleep disorder diagnosis. …”
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Practical application of real-time sub-seasonal monsoon onset forecasting and monitoring for decision-making by Elisabeth M. Thompson, Elisabeth M. Thompson, Elisabeth M. Thompson, Caroline M. Wainwright, Caroline M. Wainwright, Caroline M. Wainwright, Linda C. Hirons, Linda C. Hirons, Steven J. Woolnough, Steven J. Woolnough

“…This study explores sub-seasonal monsoon onset forecasts over Ghana using the European Centre for Medium Range Weather Forecasting (ECMWF) operational ensemble prediction systems. Three commonly used methods for defining monsoon onset are compared, and the benefits, challenges, and potential of real-time, sub-seasonal onset forecasting using these methods are examined. …”
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Retrospective analysis of clinical decision support system use in patients with hypertension and atrial fibrillation (INTELLECT) by D. V. Losik, S. N. Kozlova, Yu. S. Krivosheev, A. V. Ponomarenko, D. N. Ponomarev, E. A. Pokushalov, O. O. Bolshakova, E. S. Zhabina, E. A. Lyasnikova, N. A. Korelskaya, M. A. Trukshina, T. E. Tulintseva, A. O. Konradi

“…To evaluate the relationship between the clinical decision support system use (CDSS) and adherence to clinical guidelines.Materials and methods. …”
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Generalized q-rung picture linguistic Schweizer and Sklar aggregation operators and their application in decision making by Jawad Ali, Usman Khalid, Muhammad Ahsan Binyamin, Muhammed Ibrahem Syam, Zunaira Usman

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Pythagorean Fuzzy Overlap Functions and Corresponding Fuzzy Rough Sets for Multi-Attribute Decision Making by Yongjun Yan, Jingqian Wang, Xiaohong Zhang

“…Therefore, a new PFRS approximate accuracy is developed which generalizes the approximate accuracy of classical rough sets and remains applicable to the classical case. Finally, three multi-criteria decision-making (MCDM) algorithms based on PF information are proposed, and their effectiveness and rationality are validated through examples, making them more flexible for solving MCDM problems in the PF environment.…”
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Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

“…Then, an unsupervised hierarchical clustering method is used for different scales of fully occupied blocks and partial occupied blocks containing occupied pixels, so as to realize the fast decision of optimal CU partition. …”
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SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

“…To address these issues, this paper proposes a novel integrated deep reinforcement learning model called “SGD-TripleQNet” for autonomous vehicle lane-change decision-making. This method integrates three types of deep Q-learning networks (DQN, DDQN, and Dueling DDQN) and uses the Stochastic Gradient Descent (SGD) optimization algorithm to dynamically adjust the network weights. …”
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Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…The study is based on the data from four major polling centers that monitored the pre-election situation and provided descriptions of voters’ intentions, which differed significantly and were far from the official results. Three decision vector models were derived to adjust the forecast by changing conversion rates for different answers. …”
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Autonomous Dogfight Decision-Making for Air Combat Based on Reinforcement Learning with Automatic Opponent Sampling by Can Chen, Tao Song, Li Mo, Maolong Lv, Defu Lin

“…In the context of RL for dogfighting, the method by which opponents are sampled assumes significance in determining the efficacy of training. …”
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Point of care biliary ultrasound in the emergency department (BUSED) predicts final surgical management decisions by Richard Hilsden, Rob Leeper, Drew Thompson, Frank Myslik, Nicholas Mitrou, Jeff Hawel

“…Depending on the surgeons’ POCUS based management decisions, the patients were divided into three groups: (1) surgery, (2) duct clearance, (3) no surgery. …”
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Anti-Soviet Speeches of the Khrushchev “Thaw” Period as One of The Results of Ill-conceived Managerial Decisions by A. I. Lushin

“…Based on the analysis of a Note to the Presidium of the Central Committee of the CPSU and a number of other sources, to show the causes and results of ill-conceived managerial decisions of the party and Soviet authorities that led to tragic consequences at the construction of the Karaganda Metallurgical Plant in Temir-Tau, Kazakh SSR in early August 1959.Materials and methods. …”
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Decision tree analysis of mental resilience trajectory and core influencing factors in patients with traumatic fracture by YANG Xiaohui, LIU Wen, ZHANG Xinyan

“…Follow. ups were conducted at 1, 3, and 6 months after the survey, and the Connor.Davidson Resilience Scale was used to assess patients’mental resilience. …”
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The effect of behavioral factors on investment decision towards stock market between Indonesia, Japan, and Thailand by Deddy Marciano, Liliana Inggrit Wijaya, Laurenco Lingguardi Sugianto, Zunairoh Zunairoh

“… Purpose – This research consists of Behavioral Finance where it is focused on cognitive bias factors influence on Investment Decision with using the scope of research in three countries which are Indonesia, Thailand, and Japan. …”
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The relationship of teachers’ ideas about children’s participation with their support of children’s opinions and involvement in decision-making by Liudmila M. Ursulenko

“…The examination of the level of support for children’s opinions and participation in decision-making was carried out by a specially trained external expert based on the educational environment quality assessment tool “Support for children’s opinions and participation in decision-making”, developed by the Research Institute of Urbanism and Global Education MСU as a possible addition to the ECERS-3 scales. …”
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Co-designing a shared digital decision aid for HPV vaccination in French general practice by Dragos-Paul Hagiu, Arthur Tron, Minghui Zuo, Marie Ecollan, Juliette Pinot, Henri Partouche, Serge Gilberg, Josselin Le Bel, Louise Rossignol, Aurélie Gauchet, Amandine Gagneux-Brunon, Morgane Michel, Judith E. Mueller, Nathalie Thilly, Sébastien Bruel

“…Methods In order to develop the shared decision aid, we followed the steps recommended by the International Patient Decision Aids Standard (IPDAS), i.e. scoping and defining the objectives, assembling the steering group, designing (carrying out two focus groups and a narrative review of the literature) and testing in a alpha test phase (carrying out three focus groups and 11 individual interviews). …”
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Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis by Alan Yung, Tim Shaw, Judy Kay, Anna Janssen

“…The session recordings were transcribed and then analyzed using qualitative thematic analysis. The 3-talk SDM model, which consists of 3 steps—team talk, option talk, and decision talk—was used as the guiding framework. …”
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Development and Evaluation of a GPT4-Based Orofacial Pain Clinical Decision Support System by Charlotte Vueghs, Hamid Shakeri, Tara Renton, Frederic Van der Cruyssen

“…<b>Methods</b>: A total of 100 anonymized patient case descriptions involving diverse OFP conditions were collected. …”
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