Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…For this reason, this paper designs a pure amplitude stretching kernel function to form a Fourier amplitude vector field and uses this amplitude vector field to implement the stretching transformation of the amplitude field of the aerial power line image, so that the angular field after the Fourier inverse transformation can better react to the spatial domain line targets, and finally, after the Relative Total Variation (RTV) processing, the power line can be well detected. …”
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, and -like MO-1 infection in the brain of a child with seizures, mycotoxin exposure and suspected Rasmussen's encephalitis by Edward B. Breitschwerdt, Ricardo G. Maggi, Cynthia Robveille, Emily Kingston

“…Background In conjunction with more sensitive culture and molecular diagnostic testing modalities, simultaneous or sequential infection with more than 1 vector borne zoonotic pathogen is being increasingly documented in human patients. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…The results demonstrate that the training and prediction accuracies using the Random Forest (RF) algorithm significantly surpass those using Artificial Neural Networks (ANNs) and Support Vector Machine (SVM). The RF-based model effectively identifies damage features in sparsely distributed debris cloud and cumulative effect. …”
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Synthesis and properties of 3-(ethylthio)-9-methyl-6-(alkylthio)pyrazolo[1,5-d][1,2,4]triazolo[3,4-f][1,2,4]triazines by S. O. Fedotov, A. S. Hotsulia

“…Various factors contribute to this process. Among them, we can note the significant possibilities of chemical transformation involving these cycles, the simplicity, and reliability of methods, the creation of molecules with a certain level of bioavailability and the ability to influence a number of biochemical processes. …”
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Modeling Stock High-Low Price Range: Fractional Cointegrating VAR Approach (FCVAR) by Elham Farzanegan

“…MethodsThe study utilizes the Fractionally Cointegrated Vector Autoregressive (FCVAR) approach to explore the cointegrating relationships among six key indices of the Tehran Stock Exchange - TEPIX, First Market index, Second Market index, Industry index, Mali index, and Fara Bourse overall index - across various time frequencies from August 14, 2007, to August 15, 2022. …”
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Integrated Assessment of the Quality of Functioning of Local Electric Energy Systems by Waldemar Wójcik, Petro Lezhniuk, Cezary Kaczmarek, Viacheslav Komar, Iryna Hunko, Nataliia Sobchuk, Laura Yesmakhanova, Zhazira Shermantayeva

“…The integral indicator of the functioning of complex systems is based on a combination of the theory of Markov processes and the criterion method of similarity theory. …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The study utilized Multiple Linear Regression (MLR) and machine learning models, including Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), and an ensemble of the four single models. …”
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ORTHODONTIC TREATMENT OF ADULT PATIENTS MALOCCLUSION WITH INFLAMMATORY PERIODONTAL DISEASES by O. Saranchuk

“…For a comprehensive treatment the following scheme was used: - Therapeutic treatment: included dental health, professional hygiene, skills training in hygiene and patient transfer gum disease in remission; - Orthodontic treatment, which consisted of the use of removable and fixed appliances; - Periodontal treatment - conducting professional oral hygiene during each visit to the orthodontist, vector therapy. The goal of orthodontic treatment was: • removal of plaque accumulation retention points; • redress some teeth to eliminate their functional overload; • stimulation of trophic periodontal tissues; • creation of functional, sustainable, aesthetic occlusion; • improving periodontal condition by stimulating reparative processes in bone tissue; • normalization of function of TMJ and muscles. …”
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High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages by Celí Santana Silva, Dthenifer Cordeiro Santana, Fábio Henrique Rojo Baio, Ana Carina da Silva Cândido Seron, Rita de Cássia Félix Alvarez, Larissa Pereira Ribeiro Teodoro, Carlos Antônio da Silva Junior, Paulo Eduardo Teodoro

“…Logistic regression (RL) and support vector machine (SVM) models showed better performance in the early reproductive stage R1, with accuracies above 55 for CC, close to 0.1 for Kappa, and close to 0.4 for the F-score. …”
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Physiological, environmental, and life-history drivers of haemosporidian infections in non-passerine birds from a rehabilitation center by Lis Marques de Carvalho e Vieira, Victor Aguiar de Souza Penha, Kevin J. McGraw, Amanda Vitória Dornelas da Silva, Erika Martins Braga

“…IntroductionPathogens and parasites play a crucial role in shaping ecological and evolutionary processes, influencing the behavior, physiology, and survival of their hosts across diverse ecosystems. …”
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Experience of Hypoxic Conditioning in Rehabilitation Programs for Patients with Chronic Occupational Lung Diseases: a Pilot Study by Xinliang Zhang, Evgeny Е. Achkasov, Elena N. Dudnik, Olga I. Rumyantseva, Oleg S. Glazachev

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Integrating geodetic infrastructures for GNSS displacements analysis in Chile: A case study with REDGEOMIN (2019–2022) by José Antonio Tarrío Mosquera, Valeria Vásquez Tejo, Catalina Cáceres Venegas, Miguel Marten-Allendes, Juan Giglio Gutierrez, Fernando Isla Rodríguez, Marcelo Caverlotti Silva, Gabriel Jeldres Vergara, Rodrigo Urrutia Vidal, Cristian Mardones Castro

“…This work thoroughly analyses GNSS geodetic infrastructure and covers equipment specifications, post-processing data availability, and quality control measures. …”
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Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…Proper management of digestible energy (DE) is crucial for maintaining pig health, promoting growth, and facilitating reproduction by supporting essential biological processes. Therefore, this study sought to predict the digestible energy requirement (DER) in the growing-finishing phase of pigs, where four machine learning (ML) models: multiple linear regression (MLR), support vector regression (SVR), random forest regression (RFR), and multilayer perceptron (MLP) were applied across four datasets, with the input parameters including body weight of pigs (BW), inside temperature (IT), inside relative humidity (IRH), and inside CO2 concentration (ICO2) of pig barns. …”
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Constitutive overexpression of Qui-Quine Starch gene simultaneously improves starch and protein content in bioengineered cassava (Manihot esculenta Crantz) by Bertrand Bachaumond Hankoua, Marieme Diao, Ayalew Ligaba-Osena, Rafael A. Garcia, Sarahani Harun, Yogesh K. Ahlawat, Yogesh K. Ahlawat

“…These gene networks comprised several functional categories regulating the starch metabolic and auxin biosynthetic processes. The role of QQS in imparting starch and protein content of transgenic cassava plants is validated. …”
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Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

“…Out of an initial pool of 85 articles, 13 met the inclusion criteria, highlighting diverse AI methodologies such as support vector machines, deep neural networks, and natural language processing. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…This study sought to evaluate the region's surface water quality and sources of contamination using machine learning (ML) methods such as Logistic Regression (LOR), Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), Decision Tree (DT), and K-Nearest Neighbor (KNN). …”
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H_221E; Switched Controller Design for a Class of Uncertain Linear Systems Using Derivative Feedback by Leidy D. Wolmuth, Uiliam Nelson L. T. Alves, Andre Krindges, Rodrigo Cardim, Edvaldo Assuncao, Marcelo C. M. Teixeira

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Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia by Yi Wei Chen, Shan He, Yu Wang, Lian Ying Hu, Qin Kai Chen, Si Yi Liu

“…Using Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Extreme Gradient Boosting (XGB), and Random Forest (RF) algorithms, we identified three key mitochondrial hub genes. …”
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Effect of miR-200c on inducing autophagy and apoptosis of HT22 cells from mouse hippocampal neurons via regulating PRDM1 protein: a bioinformatics analysis by W. Wu, J. Fu, Q. Liu, Q. Wang, S. Gao, X. Deng, C. Shen

“…To reveal the changes in microRNA (miRNA) expression profile in the hippocampus of mice with deep hypothermic circulatory arrest (DHCA) through bioinformatics analysis. The Support Vector Machine (SVM) algorithm in the Weka software was used to process, model, and screen the available miRNA data. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets by Ritu Rani, Garima Jaiswal, Nancy, Lipika, Shashi Bhushan, Fasee Ullah, Prabhishek Singh, Manoj Diwakar, Manoj Diwakar

“…IntroductionThe liver is one of the vital organs of human body that performs some of the most crucial biological processes such as protein and biochemical synthesis, which is required for digestion and cleansing. …”
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