DECISION ANALYSIS ON IMPLEMENTATION OF PRIORITY CARE AND MAINTENANCE DUE TO POTENTIAL DAMAGE AT ALFAMIDI MINIMARKET IN MALANG USING THE AHP METHOD by Adi Prabowo, Nemesius Bambang Revantoro, Cynthia Permata Dewi

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Live lamb classification method based on fat, sex, and weight using ultrasound images to optimise slaughter decision-making by Enrique Samperio, Rubén Rebollar, Iván Lidón, Manuel Castejón-Limas, Virginia Riego del Castillo

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Evolutionary game decision-making method for high dynamic UAV swarm attack-defense considering uncertain factor influences by Mengchu Tian, Shaohua Yu, Linyan Liu, Meiji Cui

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“Best of Both World”: The Amalgamation of Fuzzy Delphi Method with Nominal Group Technique for Dengue Risk Prioritisation Decision-Making by Mohd‘Ammar Ihsan Ahmad Zamzuri, Nurul Athirah Naserrudin, Noor Khalili Mohd Ali, Suriyati Abd Aziz, Mohammad Faid Abd. Rashid, Rahmat Dapari, Abdul Rahman Ramdzan, Rozita Hod, Mohd Rohaizat Hassan

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Investigation of three alternative histopathological scoring methods at the invasive tumour front in colorectal cancer by Walaiphorn Woraharn, Ashley McCulloch, Christopher Bigley, Phimmada Hatthakarnkul, Kathryn Pennel, Peter Alexander, Hester vanWyk, Antonia Roseweir, Jennifer Hay, Noori Maka, James Park, Nigel B Jamieson, Joanne Edwards, Campbell SD Roxburgh

“…In this study, we aimed to validate alternative scoring methods at the invasive tumour front in a large cohort of stage I–III CRC. …”
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EVALUATION OF MANUSCRIPTS FOR ADOPTION INTO PUBLISHING HOUSE PRODUCTION by Denis P. Oleynikov, Lyudmila N. Butenko, Sergey P. Oleynikov

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Various Methods for Measuring Gingival Thickness – A Comparative Analysis of Three Different Methodologies by Ankita Pati, Balaji Manohar, Awneet Kaur, Snigdha Sagar, Shruti Sharma, S. Bhuvaneshwari

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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

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Stress Response to Fertility Decisions of Married and Parous Women with Unexpected Pregnancy: A Three Month Study at Tertiary Suzhou Hospital, China by Ying Zhang, Aiying Jin, Jiao Zhu, Jinhua Zhou, Jianzheng Cai, Yuqing Liu, Wenjie Sui

“…The model is divided into three stages: identifying re-fertility stressors, assessing re-fertility coping skills, and making decisions. …”
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The role of healthcare professionals’ communication in trial participation decisions: a qualitative investigation of recruitment consultations and patient interviews across three R... by Nicola Farrar, Daisy Elliott, Marcus Jepson, Bridget Young, Jenny L. Donovan, Carmel Conefrey, Alba X. Realpe, Nicola Mills, Julia Wade, Eric Lim, Robert C. Stein, Fergus J. Caskey, Leila Rooshenas

“…The aim of this research was to investigate how patients interpret and use the information conveyed to them by healthcare professionals (HCPs) in trial participation decisions. Methods Three pragmatic UK-based multicentre RCTs were purposively sampled to provide contrasting clinical specialities. …”
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Engaging health system, service and consumer representatives in the co-design of a multi-criteria decision-making framework for commissioning overweight and obesity programs and se... by Laura Thomas, Suzanne Robinson, Sharyn Burns, Helen Mitchell, Andrea Begley

“…A literature review informed a three-stage co-design consensus-gathering approach. …”
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PARALLEL ALGORITHM FOR THREE-DIMENSIONAL STOKES FLOW SIMULATION USING BOUNDARY ELEMENT METHOD by D. G. Pribytok, E. N. Seredin

“…Parallel computing technique for modeling three-dimensional viscous flow (Stokes flow) using direct boundary element method is presented. …”
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Russian oil trade in the face of economic sanctions by Gustavo B. Andrade, Fábio Krykhtine, Carlos A. Nunes Cosenza, Vinícius Costa Silva

“…To achieve the best decision in the supply of the considered energy source, three steps must be considered for the application of the hierarchical fuzzy method, namely: 1) refining margin screening; 2) the fuzzy matrices of technical selection; 3) fuzzy ranking so that the decision maker has better conditions for his analysis. …”
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Quantitative structure property relationship and multiattribute decision analysis of antianginal drugs using topological indices by Muhammad Waheed Rasheed, Abid Mahboob, Ali Ovais, Nimra Shabbir, Abdu Alameri

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AN INTEGRATED MODEL APPROACH WITH FUZZY MULTI CRITERIA DECISION MAKING METHODS FOR THE SELECTION OF THIRD PARTY LOGISTICS FIRM IN THE FOOD INDUSTRY by Nuri Özgür Doğan, Mehri Banu Erdem, Nusret Göksu

“…Another purpose was to present a mixed model by integrating fuzzy multi criteria decision making methods in third-party logistics company selection process. …”
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PRE-EMPTIVE GOAL PROGRAMMING METHOD FOR OPTIMIZING PRODUCTION PLANNING by Ihda Hasbiyati, Rama Desri, Moh Danil Hendry Gamal

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POSSIBILITIES AND RESULTS OF USING VISUAL LATENT FORMS IN METHOD OF METAPHOR DERIVING by Sergey A. Afonsky

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Examining kidney donation in Nigeria: a mixed methods study of family members’ knowledge, perceptions, information needs and decision-making by Manmak Mamven, Oluseyi Ademola Adejumo, Imuetinyan Rashida Edeki, Dapo Sunday Oyedepo, Stanley Chidozie Ngoka, Alhaji Abdu, Moses Tari Tuko, Lawrence Adedeji Adeyeye, Umar Loskurima, Ayodeji Fasaanu, Nwokedi Chinedu Madu, Dorcas Angbazo, Ibrahim Ummate

“…The age group of respondents (OR 0.48, 95% CI 0.239–0.967, P = 0.04), parent/child relationship, (OR 2.42, 95%CI 1.198–4.886, P = 0.01), awareness of the suitable medical factors for donation (OR 2.07, 95%CI 1.127–3.796, P = 0.02), and provision of support or counsel to donors (OR 3.89, 95%CI 1.576–9.638, P = 0.003), were independently associated with decisions to donate. …”
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Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

“…This study compares three machine learning methods—Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Decision Tree—for analyzing and predicting menstrual cycles. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Advanced machine learning methods, namely Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) are employed to develop a susceptibility map divided into five probability classes: very high, high, medium, low, and very low. …”
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