Evaluation of Healthcare Economics of OECD Countries: Multi-Objective Statistical Optimization Model by Abdulkadir Atalan, Cem Çağrı Dönmez

“…The second objective function aimed to maximize the pcHE that was estimated to be at least $5,282.37 for the OECD members. …”
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Short-Term Wind Speed Prediction Using EEMD-LSSVM Model by Aiqing Kang, Qingxiong Tan, Xiaohui Yuan, Xiaohui Lei, Yanbin Yuan

“…Hybrid Ensemble Empirical Mode Decomposition (EEMD) and Least Square Support Vector Machine (LSSVM) is proposed to improve short-term wind speed forecasting precision. …”
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Investigating the Effect of Climatic Parameters Predicting the Mortality Rate Due to Cardiovascular and Respiratory Disease with Soft Computing Methods by Hamidreza Ghazvinian, Hojat Karami

“…This study was conducted with the aim of comparing the performance of multilayer perceptron (MLP) neural network, radial basis function (RBF) and regression support vector machine (SVR) methods in modeling and predicting the time series of mortality caused by cardiovascular and respiratory diseases based on climatic parameters and pollutants. …”
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Three of them – Light Gradient Boosting Machine (LightGBM), Support Vector Machine with Radial Basis Function (SVM-RBF), and Neural Network Autoregression (NNAR) – were never before reported for predicting ED patient arrivals. …”
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Entre patrimonialisation et ouverture au tourisme : un équilibre en question(s) dans le lagon du Grand Cul-de-Sac Marin en Guadeloupe by Vincent Andreu-Boussut, Caroline Rufin-Soler, Céline Chadenas

“…The lagoon was recently invented as a touristic and heritage site and cumulates three functions: i) it’s an area exploited for its marine resources, ii) it’s a leisure destination for the local community, and iii) it’s a tourist destination where a tourism services sector has been developed throughout the archipelago. …”
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The Model of Managing Organizational Motivation Factors in the Development of Individual Innovation (Case Study: Four Companies in Mashad Toos Industrial City) by ٍEhsan Lotfi, Saeed Aibaghi Isfahani

“…These methods could be found at different levels: personnel, project teams, and the organization.Originality/Value: Based on this study, it can be said that using skills and abilities in performing job tasks and promoting functional innovation is effective.…”
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SWISS-MODEL OF MANAGERIAL CULTURE AS THE BASIS FOR FORMING THE COMPETENCE MODEL OF A MODERN MANAGER IN HEALTHCARE by O. A. Strakhova, E. V. Sheppli

“…The existing contradictions in the management and regulatory system of healthcare as a sector of economy, the protracted reforms, the unbalanced model of healthcare system lead to the search of new managerial mechanisms. …”
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Comprehensive analysis and experiments identified ANXA1 as an unfavorable prognosticator in glioma by Yu Fan, Yanwen Chen, Xingda Run, Huaide Qiu, Qianxing Hu, Xudong Zhao, ZhongYuan Bao, Zengli Miao

“…In different groups, lentiviral vector or the empty vector was used to construct cell lines. …”
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Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

“…A predictive model constructed using support vector machine achieved an area under the curve (AUC) of 0.95, with the top 10 SHAP values being associated with transition probability (TP) from state C to F, time coverage of state E, TP from state D to F and D to F, mean duration of state A, TP from state F to C, amplitude of MMN, time coverage of state F, TP from state C to D, and mean duration of state E. …”
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Presentation of Financial Assets in the Monetary Statistics by V. N. Salin, O. Y. Sitnikova, L. Y. Arhangelskaya

“…A statistical study of transactions with financial assets and in connection with the formation of monetary aggregates makes it possible to identify not only the main trends in the development of these processes, but also makes it possible to characterize the contribution of a particular subsector to the total value of financial intermediation, to analyze the relationship between the financial corporations’ sector and other sectors, and also a comprehensive change in the volume and composition of stocks and flows of financial assets as a result of exchanges between residents and non-residents.The authors comprehensively reviewed the methodological framework for constructing money aggregates and reviews of the financial corporations’ sector, incl. in the context of financial instruments. …”
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Activities for road transport enterprises on indicators of workers and rolling stock productivity planning by L. S. Trofimova, A. P. Zhigadlo

“…The emphasis is placed on modern requirements in the development of transport industry by improving the planning of the activities of road transport enterprises in terms of indicators that determine the productivity of workers and rolling stock, which are a function of the demand for transportation. The results of the activities of road transport enterprises depend on the labour productivity of each employee performing a specific function for the implementation of a specific contract and making a profit.Materials and methods. …”
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GLOBALIZATION OF SOCIETY AS ONE OF THE MAIN FACTORS OF THE NEW BUSINESS COMMUNICATION DISCOURSE FORMATION by Olena M. Turchak

“…This problem is due to the functioning of the Ukrainian language in the context of bilingualism. …”
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Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances by Jyotindra Narayan, Santosha K. Dwivedy

“…The architecture of the adaptive neuro-fuzzy inference system (ANFIS) and used membership function are briefly explained. While varying mass parameters up to 20%, three robust neural-fuzzy datasets are formulated offline with the joint error vector and LQR control input. …”
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Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target by Fan Bu, Jifa Zhong, Ruiqian Guan

“…Machine learning methods, including Random Forest, Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine - Recursive Feature Elimination (SVM-RFE), were used for case-control differentiation, complemented by functional enrichment analysis and external validation of key genes.ResultsNinety-five commonly altered genes related to degenerative CNS diseases and GBM were identified, with RELN and GSTO2 emerging as significant through machine learning screening. …”
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CRIMINAL-LEGAL PROHIBITIONS IN THE SOVIET JURIDICAL DISCOURSE by A. V. Skorobogatov, N. N. Rybushkin

“…Objective: to determine the place of criminal law prohibitions in the formation, development and functioning of the Soviet legal discourse. Methods: dialectic approach to the research of social phenomena, which allows to analyze them in historical development and functioning in the context of the unity of the objective and subjective factors, as well as post-modern paradigm, giving the opportunity to explore the legal reality at different levels, including the law-interpretation one. …”
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E-Business Strategy for Logistics Companies: Achieving Success through Information Systems Planning by Maria Kamariotou, Fotis Kitsios, Michael Madas

“…<i>Conclusions</i>: The outcomes support managers to focus on logistics functions and realize the importance of such ISP in logistics. …”
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Modelling the impact of climate and the environment on the spatiotemporal dynamics of Lyme borreliosis in GermanyResearch in context by Martín Lotto Batista, Bruno Carvalho, Rory Gibb, Balakrishnan Solaraju-Murali, Stefan Flasche, Stefanie Castell, Stéphane Ghozzi, Rachel Lowe

“…Summary: Background: Lyme borreliosis (LB) is a predominant vector-borne disease in Europe, with Germany reporting endemic circulation for at least the past two decades. …”
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EVALUATION OF SMARTNESS OF THE TOURISM DESTINATION WEBSITES OF THE KLAIPEDA REGION by Julius Ramanauskas, Šarūnas Banevičius, Putinas Bielskis

“…This scientific publication assesses the efficacy of the websites of the tourism information centres (TICs) in the Klaipėda region, evaluating them according to criteria including user experience, integration of smart city principles and the provision of value-added services. When evaluating the websites of tourist information centres in the Klaipeda region, the authors tried to determine their smartness in relation to the following parameters 1. informativeness; 2. functionality; 3. innovation; 4. accessibility, supporting the development of regional tourism and its alignment with the broader goals of a smart city. …”
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Identification of signature genes and subtypes for heart failure diagnosis based on machine learning by Yanlong Zhang, Yanming Fan, Fei Cheng, Dan Chen, Hualong Zhang

“…In addition, we assessed the different subtypes of heart failure through unsupervised clustering, and investigations were conducted on the differences in the immunological microenvironment, improved functions, and pathways among these subtypes. Finally, a comprehensive analysis of the expression profile, prognostic value, and genetic and epigenetic alterations of four potential diagnostic candidate genes was performed based on The Cancer Genome Atlas pan-cancer database.ResultsA total of 295 differential genes were identified in the HF dataset, and intersected with the blue module gene with the highest correlation to HF identified by weighted correlation network analysis (r = 0.72, p = 1.3 × 10−43), resulting in a total of 114 key HF genes. …”
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Improvement of Terrain Entropy Calculation for Grid Digital Elevation Models Considering Spatial Structural Features by Fangbin Zhou, Tianyi Yao, Junwei Bian, Yun Xiao

“…This method was inspired by Claramunt’s technique of weighting information entropy by the average distance between points with the same value and different values. Specifically, vectors were formed between grid points and categorized by value consistency and relative positions. …”
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