Functional Complete Revascularization as Determined by an Optimized Scoring System After Revascularization: A Post Hoc Analysis from Multi‐Center PANDA III Trial by Rui Zhang, Shaoyu Wu, Qianqian Liu, Changdong Guan, Hao‐Yu Wang, Sheng Yuan, Lihua Xie, Yunfei Huang, Zheng Qiao, Weida Liu, Rui Fu, Lei Feng, Chenggang Zhu, Lei Song, Dong Yin, Kefei Dou

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Ship local path planning method based on three-dimensional potential field model by Qunpeng WANG, Longhao LI, Hongxu GUAN, Jialun LIU, Jianzhe CAI, Zhengrong SHA, Jinshui ZHANG

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INVESTIGATING MULTICOLLINEARITY BETWEEN COUNTRY’S LEVEL OF DIGITAL COMPETITIVENESS AND INFLUENCING VARIABLES by Kateryna Kraus, Nataliia Kraus, Bohdan Semenovych

“… The purpose of scientific research is to identify and argue the connection between the level of digital competitiveness of countries and variable factors, and to propose solutions for its improvement. …”
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Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, S. A. Abdullayeva, A. A. Nazarov

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Digital Biomarkers for Diagnosis of Muscle Disorders Using Stimulated Muscle Contraction Signal by Kwangsub Song, Sangui Choi, Jin-Hong Shin, Woo-Hyeon Son, Hyuntae Park, Hooman Lee, Nam-Jong Paik

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Use Self-Training Random Forest for Predicting Winter Wheat Yield by Yulin Shen, Benoît Mercatoris, Qingzhi Liu, Hongxun Yao, Zongpeng Li, Zhen Chen, Wensheng Wang

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Designing an e-learning course in the context of professional training of future workers in the tourism industry by Elena Alexandrovna Panina

“…To achieve this goal, a complex of scientific methods has been used: the study of scientific and methodological literature, analysis, design, generalization.The research results are as follows: the concept of «electronic training course» has been disclosed, types of electronic training courses presented; the algorithm for developing an electronic training course described; an example of an electronic training course on the discipline «Program tourism and tourism safety» given; the advantages of using the e-learning course proposed by the author in the educational process of training future workers in the tourism industry described.Key findings are e-learning course is an independent learning unit, e-learning content is focused primarily on self-learning; there are three types of e-learning courses, differing in the degree of presentation of the materials of the work programs – from full compliance with the content of the work program of the discipline to a partial, fragmentary presentation of its individual elements at the discretion of the teacher; the algorithm for designing an e-learning course is represented by defining its structure in accordance with the requirements established by each university, preparing the relevant didactic materials, compiling an information map, presenting it in the e-learning management system, approval and coordination procedures by the relevant structures of a university; the electronic training course proposed by the author on the discipline «Program tourism and tourism safety» has a block structure, contains the parameters for presenting the material for each element of the block; own experience of introducing an electronic training course into the professional training of future employees of the tourism industry has showed its relevance in educational practice.…”
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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

“…In this study, the recently developed hierarchical population‐based differential evolution (HPDE) was employed for parameter optimization of PEMFCs due to its robustness and demonstrated superiority over other optimization algorithms. This research tested the proposed optimization algorithm by identifying parameters for 12 distinct PEMFCs, including BCS 500 W PEMFC, Nedstack 600 W PS6 PEMFC, SR‐12500 W PEMFC, H‐12 PEMFC, STD 250 W PEMFC, and HORIZON 500 W PEMFC, four variants of 250 W PEMFC, and two variants of H‐12 12 W PEMFC. …”
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Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection by Rehan Rabie, Sahran Shahnorbanun, Alyasseri Zaid Abdi Alkareem, Sani Nor Samsiah, Al-Betar Mohammed Azmi

“…Further validation was provided by comparing the proposed OeSNN-ABC against five well-known optimization algorithms: particle swarm optimization, grey wolf optimization, flower pollination algorithm, whale optimization algorithm, and grid search, alongside other classifiers such as random forest, support vector machine, and k-nearest neighbor. …”
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Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion by Ting Wang, Yingang Wen, Zhibiao Wang, Zhibiao Wang, Xi Li

“…This system demonstrates strong clinical applicability. Future research will focus on enhancing the adaptability of the system, particularly in addressing challenges such as significant tissue deformation and occlusion, to improve its robustness and applicability in complex clinical scenarios.…”
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Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers by Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini

“…Despite its importance, limited research has focused on designing sustainable supply chains for construction materials under uncertain conditions. …”
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Comparative assessment of the diagnostic efficiency of medical imaging methods, as exemplified by magnetic resonance imaging and contrast-enhanced ultrasound examination, based on... by E. A. Busko, A. B. Goncharova, D. A. Buchina, A. S. Natopkina

“…To solve the problem, the propensity score matching algorithm was used: building a model, calculating conditional probabilities, balancing, checking the balance quality, evaluating efficiency. …”
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Machine learning frameworks to accurately predict coke reactivity index by Ayat Hussein Adhab, Morug Salih Mahdi, Krunal Vaghela, Anupam Yadav, Jayaprakash B, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

“…To minimize overfitting in each algorithm, K-fold cross-validation methodology is employed during the training phase. …”
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5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul by Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmstrom Olsson

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MC64-ClustalWP2: a highly-parallel hybrid strategy to align multiple sequences in many-core architectures. by David Díaz, Francisco J Esteban, Pilar Hernández, Juan Antonio Caballero, Antonio Guevara, Gabriel Dorado, Sergio Gálvez

“…We have developed the MC64-ClustalWP2 as a new implementation of the Clustal W algorithm, integrating a novel parallelization strategy and significantly increasing the performance when aligning long sequences in architectures with many cores. …”
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QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…The accuracy of the baseline algorithm is additionally increased in this study through correction of bias observed in the algorithm output. …”
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POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

“…Part of Speech (POS) Tagging is the basis of text processing research, so the Madura Language POS Tagging application needs to be made for use in other Natural Language Processing research. …”
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Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assess... by Wang KY, Mahesri M, Novoa-Laurentiev J, Bessette LG, York C, Zakoul H, Lee SB, Ngan K, Zhou L, Kim DH, Lin KJ

“…Suite 3030, Boston, MA, 02120, USA, Tel +1 (617) 278-0930, Fax +1 (617) 232-8602, Email jklin@bwh.harvard.eduPurpose: We aimed to develop a Natural Language Processing (NLP) algorithm to extract cognitive scores from electronic health records (EHR) data and compare them with cognitive function recorded by Centers for Medicare & Medicaid Services (CMS)-mandated clinical assessments in nursing homes and home health visits.Patients and Methods: We identified a cohort of Medicare beneficiaries who had either the Minimum Data Set (MDS) or Outcome and Assessment Information Set (OASIS) linked to EHR data from the Research Patient Data Registry (Mass General Brigham, Boston, MA) from 2010 to 2019. …”
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Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

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Technology features of decellularization of human liver fragments as tissue-specific fine-grained matrix for cell-engineering liver construction by E. A. Nemets, L. A. Kirsanova, Ju. B. Basok, M. Ju. Schagidulin, E. A. Volkova, S. T. Metelsky, V. I. Sevastianov

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