Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study by Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

“…The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal algorithm, referred to as the OPTIVAN algorithm, was selected and validated using an external cohort (n=268). …”
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Evaluating model generalization for cow detection in free-stall barn settings: Insights from the COw LOcalization (COLO) dataset by Mautushi Das, Gonzalo Ferreira, C.P. James Chen

“…In such cases, initializing with general pre-trained weights is often sufficient and more efficient, eliminating the need for labor-intensive task-specific weight initialization. …”
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Designing the Competency Model of Farhangian University Administrators by Asadolah Khadivi, Homa Rahmani, Hamide Haghighat, Saeed Arefnjad

“…Central to this mission is the effective selection of competent managers, who are instrumental in addressing challenges and steering universities toward excellence. …”
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A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…The algorithm used a random initial population, with operations for parent selection, crossover, and mutation, iterating until the optimal solution was found. …”
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Selection and characterization of specific nanobody against bovine virus diarrhea virus (BVDV) E2 protein. by Tiansen Li, Meiling Huang, Hongran Xiao, Guoqi Zhang, Jinhua Ding, Peng Wu, Hui Zhang, Jinliang Sheng, Chuangfu Chen

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A comparison of discharge hydrograph using some methods of effective rainfall approach (case study: Upper Cisadane Watershed) by Orita Mega Delani, Bambang Dwi Dasanto

“…The objectives of the study is to determine the optimum method in calculating effective rainfall based on infiltration approach in Upper Cisadane Watershed and to analysis dominant characteristic of watershed on selected method. SCS-CN, Initial and Constant Rate Loss Method, and Green and Ampt Loss Method were the methods that used to estimate run off value in Upper Cisadane Watershed. …”
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EXPERIENCE OF USING A NON-SELECTIVE BETA-BLOCKER IN COMPLEX THERAPY OF REPOLARIZATION DISORDERS IN YOUNG ATHLETES by A. Yu. Tikhomirov, O. V. Minyaeva, T. V. Tikhomirova

“…At the second stage, the athletes (boys) of the initial training group were selected from the surveyed contingent, engaged in martial arts. …”
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Dorsomorphin, a selective small molecule inhibitor of BMP signaling, promotes cardiomyogenesis in embryonic stem cells. by Jijun Hao, Marie A Daleo, Clare K Murphy, Paul B Yu, Joshua N Ho, Jianyong Hu, Randall T Peterson, Antonis K Hatzopoulos, Charles C Hong

“…<h4>Conclusions/ significance</h4>Administration of a selective small molecule BMP inhibitor during the initial stages of ES cell differentiation substantially promotes the differentiation of primitive pluripotent cells toward the cardiomyocytic lineage, apparently at the expense of other mesodermal lineages. …”
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Prediction of Remaining Service Life of Miniature Circuit Breakers Based on Wiener Process by Lin Ma, Linming Hou, Puquan He, Changxian Wang, Zhenhua Xie, Yao Wang

“…In order to accurately predict the remaining electrical life of MCBs in service, MCB mechanical characterization and dynamic simulation are carried out, and the initial closing angle of MCBs is selected as the degradation characteristic quantity, so as to deeply analyze the evolutionary characteristics of the initial closing angle in the degradation of MCBs and to construct the electrical degradation model of the one-dimensional linear Wiener process in the present study. …”
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Early Development of Larvae and Juvenile of Largemouth Bass (Micropterus salmoides) and Selective Experiment on Different Feed Ingredient by Yuwan LI, Haohui LIANG, Yao QIN, Huijie LU, Minwei HUANG, Yanping MA, Guoxia WANG

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Estimation of the collection grain sorghum samples for breeding of new varieties by V. V. Kovtunov, N. N. Sukhenko, О. А. Lushpina, Yu. V. Repeshko

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Selection of design parameters of a spacecraft electric propulsion engine ensuring the geostationary orbit raising mission by A. V. Kolesov, V. V. Salmin

“…The problem of selecting suboptimal parameters of an electric propulsion system as part of a spacecraft, ensuring a geostationary orbit raising mission using a Soyuz-5 launch vehicle at the initial launch stage, is investigated. …”
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Botulinum neurotoxin A mutants with enhanced ganglioside binding show improved potency and altered ganglioside selectivity by Geoffrey Masuyer, Andreas Rummel, Pål Stenmark

“…These toxins recognise motor nerve terminals with high specificity and affinity by using a dual binding mechanism involving gangliosides and protein receptors. The initial recognition of gangliosides is crucial for the toxins’ potency. …”
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Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process by Jesus Angel Fernandez Canelas, Quintin Martin Martin, Juan Manuel Corchado Rodriguez

“…The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. …”
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Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods by Ilyas Masudin, Isna Zahrotul Habibah, Rahmad Wisnu Wardana, Dian Palupi Restuputri, S. Sarifah Radiah Shariff

“…<i>Method:</i> Initially comprising 21 sub-criteria derived from prior research, the selection criteria are refined to 17, eliminating redundant elements. …”
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An Integrated Learning Approach for Municipal Solid Waste Classification by Hieu M. Sondao, Tuan M. Le, Hung V. Pham, Minh T. Vu, Son Vu Truong Dao

“…These selected features are then fed into machine learning classifiers&#x2014;Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), and K-Nearest Neighbor (KNN)&#x2014;for final predictions. …”
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Examining gender impact on the selection and persistence of STEM careers in a Uruguayan University without access barriers by Mahira Melisa González Bruzzese, Maximiliana Cedréz Cedréz, Tabaré Fernández Aguerre

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Assistant teachers for pupils with special educational needs in the Czech Republic – presentation of selected particular research results by Jan Michalík, Jan Chrastina, Jaromír Maštalíř, Pavlína Baslerová

“…The paper presents a concept of a national research study performed in February – March 2015 and particular results focusing on the description of sociodemographic distributions and selected aspects of labour-law relationships (and their attributes) in terms of the function of AT. …”
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Fuzzy Decision-Making Analysis of Quantitative Stock Selection in VR Industry Based on Random Forest Model by Jia-Ming Zhu, Yu-Gan Geng, Wen-Bo Li, Xia Li, Qi-Zhi He

“…Different from the analysis of quantitative stock selection by constructing a logistics multifactor stock selection model in the existing research, the research mainly adopts the random forest algorithm based on fuzzy mathematics to construct the initial investment strategy portfolio. …”
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Impact of an Intervention Package for Preventing Anemia Among Adolescent Girls in Selected High Schools of Bangalore District by Chetan Kumar M R, G Nagarathnamma

“…Forty adolescent girls were selected through convenient sampling method using non-probability sampling approach.Result During the initial assessment in the experimental group 13 65 adolescent girls had inadequate knowledge while remaining 7 35 had moderate knowledge. …”
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