Impact of Green Initiatives on the Financial Performance of Small and Medium Enterprises: The Case of Manufacturing Firm in Central Luzon by Mª Teresa B. Alfaro, Rowell Agliones Diaz

“…The descriptive survey method used to gather data to determine the green initiative's implementation of small and medium (S.M.E.s) manufacturing enterprises. …”
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Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion by Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu

“…Semantic segmentation is a crucial method for recognizing and classifying objects in high-resolution remote sensing images (HRRSIs). …”
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The Effect of the Use of Black and White Flashcards on Acute Pain Levels in Infants by Diler Yılmaz, Nejla Canbulat Şahiner, Zübeyde Ezgi Erçelik

“…Conclusion: We concluded that the use of black and white flashcards during the vaccination practices was efficient. In line with these results, we recommend that nurses use black and white flashcards, an easily applicable method, to decrease the pain sensitivity of infants during vaccine applications.…”
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Elimination of Aspergillus flavus from Pistachio Nuts with Dielectric Barrier Discharge (DBD) Cold Plasma and Its Impacts on Biochemical Indices by Mina Makari, Mohammad Hojjati, Samira Shahbazi, Hamed Askari

“…The present findings demonstrated that cold plasma could be used as an efficient decontamination method of food products without inducing undesirable quality changes in nuts.…”
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Inovasi Pelayanan Publik untuk Meningkatkan Pelayanan Kependudukan di Kota Surabaya by Cahyo Bima Sakti Wibowo

“…Determination of informants with purposive and accidental techniques. …”
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A Rectangular Toroidal Current-Based Approach for Lung Biopsy Needle Tracking by Hongliang Pei, Qingwen Fan, Yixiang Duan, Lang Xiao

“…The objective is to establish a precise and computationally efficient electromagnetic localization model for the biopsy needle. …”
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Self-Supervised Multi-Task Learning for the Detection and Classification of RHD-Induced Valvular Pathology by Lorna Mugambi, Ciira wa Maina, Liesl Zühlke

“…This study investigated the use of self-supervised multi-task learning for automated echocardiographic analysis, aiming to predict echocardiographic views, diagnose RHD conditions, and determine severity. We compared two prominent self-supervised learning (SSL) methods: DINOv2, a vision-transformer-based approach known for capturing implicit features, and simple contrastive learning representation (SimCLR), a ResNet-based contrastive learning method recognised for its simplicity and effectiveness. …”
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Adaptive Channel Division and Subchannel Allocation for Orthogonal Frequency Division Multiple Access-Based Airborne Power Line Communication Networks by Ruowen Yan, Qiao Li, Huagang Xiong

“…Concurrently, the subchannel allocation algorithm employs a novel metric, the Subchannel Preference Score (SPS), which factors in both the signal quality and the current occupancy levels of each subchannel to determine their optimal allocation among nodes. This method ensures efficient resource utilization and maintains consistent network performance. …”
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Reinforced Concrete under the Action of Carbonization and Chloride Aggression: a Probabilistic Model for Service Life Prediction by S. N. Leonovich, E. E. Shalyi, L. V. Kim

“…The paper proposes a method for predicting a complex degradation of reinforced concrete structures with due account of various mechanisms of corrosion wear that allows to develop efficient methods for improvement of structure durability and maintainability which are operated in the marine environment. …”
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Technical and economic assessment of the parameters of thermal schemes of thermal power plants with a hydrogen generator by G. E. Marin, B. M. Osipov, A. R. Akhmetshin

“…The studies carried out show that a change in the component composition of the gas affects the energy characteristics of the engine. The method for determining the quantitative composition of COx, NOx, SOx in the exhaust gases of a gas turbine plant is presented. …”
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MB-AGCL: multi-behavior adaptive graph contrast learning for recommendation by Xiaowen lv, Yiwei Zhao, Zhihu Zhou, Yifeng Zhang, Yourong Chen

“…Furthermore, we propose an efficient adaptive graph augmentation method that integrates graph augmentation with down-stream tasks to reduce the impact of popularity bias. …”
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Application of MobileNetV2 and SVM Combination for Enhanced Accuracy in Pneumonia Classification by Eka Putra Agus Meindiawan, Muljono Muljono

“…In conclusion, the choice of feature extraction method plays an important role in determining the accuracy of an automated diagnostic system. …”
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Parametric evaluation as a tool for evaluating shell geodesic domes. Modelling the Fuller Dome with ReSa mobile recreational facility panels by Anna Berbesz, Kajetan Sadowski, Jakub Onyszkiewicz

“…It allows for flexible introduction of basic data (here: energy efficiency, environmental impact, support reactions, ergonomics and complexity of prefabrication and assembly process), determination of coefficients and the use of additional weight criteria for individual research fields in relation to the assumed goal.…”
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Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…The findings suggest that these models can offer substantial improvements over traditional methods, not only in accuracy but also in operational efficiency. …”
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Fabrication of magnetic manganese ferrite-loaded sugar cane bagasse/peanut peel biochar adsorbents for the adsorptive removal of phosphorus from aqueous solution by Alyaa I. Salim, Nada A. Abdelgawad, Ehab Rozaik, Nagwan G. Mostafa

“…The maximum removal efficiencies obtained are 98.5% and 99% for MF and MFBCs, respectively. …”
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Economic losses due to low coverage of lipid-lowering therapy in patients with cardiovascular diseases in the Russian Federation by Yu. A. Balanova, A. V. Kontsevaya, A. E. Imaeva, O. I. Karpov, M. B. Khudyakov

“…To assess the economic burden associated with the absence of lipid-lowering therapy (LLT) in patients with cardiovascular diseases (CVD) and hypercholesterolemia (HCS) in the Russian population in 2016, including direct costs of the health care system  and indirect economic losses due to premature death, absenteeism and disability.Material and methods. The calculation includes data  from local population-based studies (prevalence of HCS, treatment coverage and efficiency), as well as Russian statistics on CVD for 2016. …”
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Genetic diversity analysis and core collection construction of Phyllanthus emblica based on SSR markers by WANG Jianchao, ZHANG Xiaoyan, ZHANG Lijie, LI Tao, XIE Lixue

“…[Objective] The genetic diversity and core collection construction of Phyllanthus emblica were investigated using SSR molecular markers, in order to provide a scientific basis for preservation, genetic breeding and efficient utilization of the germplasm resources. [Methods] The experimental materials were collected from P. emblica Germplasm Resource Sub-Center, National Tropical Plants Germplasm Resource Center. …”
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Planning the operation of Li-ion battery-powered trucks by Milisavljević Vladimir, Popović Ognjen, Savić Dragana, Martinetti Alberto

“…The paper describes a method for estimating the autonomy of battery-powered trucks, considering motor efficiency, energy losses, and regenerative braking. …”
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A model for identifying project sprint tasks based on their description by Marina Grinchenko, Mykyta Rohovyi

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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A model for identifying project sprint tasks based on their description by Марина Гринченко, Микита Роговий

“…The article solves the following tasks: analyzing research on the classification and visualization of project tasks, developing an algorithm that can automatically classify text descriptions of sprint tasks, collecting and preparing a training sample of text descriptions of sprint tasks for training and testing the classification model, applying natural language processing methods to improve classification and ensure the accuracy of the results, validating the model on real data to assess the efficiency and accuracy of classification, and analyzing the results. …”
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