Impacto objetivo y percibido del tipo de evaluación sobre el rendimiento académico de estudiantes de Educación Física bajo un modelo curricular por competencias (Type of assessmen... by Paola Beatriz Fuentes Merino, Pilar Valenzuela Rettig, Alexis Canuiqueo Vargas

“…A non-probabilistic and purposeful sampling was used; 29 students participated through interviews, and from whom a 2804 assessment register database was obtained regarding the program's first cycle participation. Results indicate a gradual transition towards integrative assessment use, which is coherent with the program's competency model. …”
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THE ROLE OF THE US FEDERAL GOVERNMENT IN SOCIAL DEVELOPMENT by O. V. BOGAEVSKAYA, A. R. VOITOLOVSKAYA, V. Yu. ZHURAVLEVA

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On Improvement of the Quality of Forensic Fire Investigations by I. S. Taubkin

“…This mainly follows from the shortcomings of inquest and investigation on this category of cases, inadequate number of verified and recommended for forensic practice methods and computer programs, rare use of existing programs, contradictions of legislative acts regulating fire and explosion safety of different objects, from some experts’ insufficient qualification. …”
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A Raster-Based Multi-Objective Spatial Optimization Framework for Offshore Wind Farm Site-Prospecting by Loukas Katikas, Themistoklis Kontos, Panayiotis Dimitriadis, Marinos Kavouras

“…All areas have a Hurst parameter in the range of 0.55–0.63, indicating greater long-term positive autocorrelation in specific areas of the North Aegean Sea.…”
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Water temperature prediction in a subtropical subalpine lake using soft computing techniques by Saeed Samadianfard, Honeyeh Kazemi, Ozgur Kisi, Wen-Cheng Liu

“…In this paper, the performance of soft computing techniques including gene expression programming (GEP), which is a variant of genetic programming (GP), adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) to predict hourly water temperature at a buoy station in the Yuan-Yang Lake (YYL) in north-central Taiwan at various measured depths was evaluated. …”
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Towards the development of regime cards for driving trains using of locomotives of diesel tractions by Ablyalimov O.

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Accessible environment in municipalities of the Russian Federation by M. Yu. Dityatkovsky

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<title language="por">Progresso temporal da ferrugem e redução sobre a área foliar e os componentes do rendimento de grãos em soja Temporal progress of rust and reduced leaf area a... by Felipe Rafael Garcés Fiallos, Carlos Alberto Forcelini

“…Se cuantificó también el índice de área foliar (IAF) al final del llenado de granos y los componentes de rendimiento después de la cosecha. …”
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INSTITUTIONAL PARADOXES OF INFORMATIZATION OF STATE AND MUNICIPAL GOVERNANCE IN MODERN RUSSIA by N. V. Lukashov

“…Specific measures are proposed aimed at improving the efficiency of informatization, including in the framework of realization of the Federal program of the Russian Federation "Informational society" for 2012-2020.…”
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Development of the recipe and technology of semi-finished mock cutlets of functional purpose by A. B. Tkhaishaova, Z. N. Khatko, N. A. Loban

“…Poultry meat occupies a significant proportion in the state program of production and sale of animal proteins. …”
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Neural network method of the decision Of the nonlinear problem of optimum distribution of the non-uniform resource by A. A. Zhuk, V. M. Buloichyk

“…Given article is devoted features of the decision of a problem of integer nonlinear programming, by means of developed neural network method and algorithm of nonlinear optimization of means «decision Search» tabular processor Microsoft Excel. …”
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Macroeconomic trends in Russia during the sanctions crisis by T. I. Gordievich, P. V. Ruzanov

“…The main macroeconomic indicators affected by the sanctions are analyzed. Russian gross domestic product in 2022 decreased by 2,1 %. …”
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Integrated Optimization Planning of Multiple Energy Stations for Low Carbon Operation by Weijie Dong, Keyan Liu, Wanxing Sheng

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Optimizing Berth Allocation for Maritime Autonomous Surface Ships (MASSs) in the Context of Mixed Operation Scenarios by Lixin Shen, Xueting Shu, Chengcheng Li, Tomaž Kramberger, Xiaoguang Li, Lixin Jiang

“…Two mixed integer nonlinear programming models aimed at minimizing the total docking cost of the vessels in the port and the waiting time for berths are developed and solved using Gurobi, respectively. …”
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Energy Conservation as a Factor of Regional Development by Vyacheslav Pavlovich Zakharov

“…The next step should be the preparation of a program to improve energy efficiency and the gradual implementation of it by own or borrowed funds. …”
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Multi-objective non-linear cold storage capacity model for optimizing sustainability in bimodal climate regions by Dini Retnowati, Budisantoso Wirjodirdjo, Ahmad Fatih Fudhla, Fita Yulia Rahmah, Asri Dwi Puspita

“…This study develops a multi-objective non-linear programming (MO-NLP) model that optimizes economic profit, carbon emissions, and food security, incorporating sustainability weights (λ1, λ2, λ3) to accommodate different priorities. …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…This article presents a mixed-integer nonlinear programming model to address conductor selection and phase balancing in distribution systems. …”
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Intelligent assessment of damage and prediction of seismic damage spectrum under the effect of Near-Fault earthquakes in Iran by R. Fazli, M. Shamekhi Amiri, H. Pahlavan

“…The research objective of this article is to accurately assess and predict the seismic damage spectrum caused by earthquakes in Iran using gene expression programming. Gene expression programming is a method for learning and optimization rooted in genetic principles and molecular biology. …”
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Machine learning-driven prediction of immune checkpoint inhibitor responses against cholangiocarcinoma: a bile biopsy perspective by Dengyong Zhang, Xinrui Li, Zhonglin Wang, Jingyuan Fan, Yuhang Yang, Sophia Han, Wanliang Sun, Dongdong Wang, Shuo Zhou, Zhong Liu, Shihao Chen, Yan Yang, Yan Zhu, Zheng Lu

“…Additionally, we followed up with patients to analyze prognostic indicators based on their survival times. Using advanced machine learning techniques, specifically LASSO regression, we constructed a predictive model to determine the effectiveness of programmed cell death protein 1 (PD-1) inhibitors in treating CCA. …”
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Efecto de un programa de actividad física basado en el uso de aplicaciones móviles sobre la composición corporal de jóvenes universitarios durante el confinamiento por COVID-19 (Ef... by Blanca Rocío Rangel Colmenero

“…Los cambios observados en composición corporal fueron en índice de masa grasa (IMG) y masa grasa (p < .05); sin embargo, los tamaños de efecto fueron triviales. …”
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