The readiness of future teachers to the implementation of system-activity approach as a pedagogical phenomenon by O. V. Tumasheva, N. A. Кirillova, E. A. Mikhalkina

“…The materials presented in the article set the vector for the development of appropriate procedural and technological activities focused on the formation of necessary competencies in future teachers. …”
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Diffusion tensor imaging in the characterization of multiple system atrophy by Rulseh A, Keller J, Rusz J, Syka M, Brozova H, Rusina R, Havrankova P, Zarubova K, Malikova H, Jech R, Vymazal J

“…Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. …”
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Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

“…Traditional density measurement methods, like the Archimedes technique, have been employed to determine the density of maraging steel samples produced under varying machine settings (MACH-S) process parameters, including laser power and scan speed. …”
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Cytokine profile of patients with the measles infection of varying severity by K. A. Veklych, M. M. Popov, T. I. Liadova, O. V. Martynenko, O. H. Sorokina, V. V. Sarkis-Ivanova

“…Statistical processing of the obtained data was carried out using the IBM SPSS Statistics 22.0 software package. …”
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Development of an Approach to Integrated Epidemiological Zoning of West Nile Fever Endemic Territory (by the Example of the Volgograd Region) by D. N. Nikitin, S. K. Udovichenko, K V Zhukov, E. V. Putintseva, D. V. Viktorov, A. V. Toporkov

“…The work used: information on the detection of WNF cases in the Volgograd region in 1999–2019, the results of serological and entomological monitoring for the 1999–2020 period, meteorological data (air temperatures in June-August, 1999–2020), vector maps of hydrography and land use. Results and discussion. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Traditional word vector methods, such as Word2Vec and GloVe, as well as deep learning models like BERT, face limitations in handling context dependency and polysemy and present challenges in computational resources and real-time processing. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…We propose a novel workflow for processing ground survey data to generate stable reference samples, which are then used with a transfer learning approach to construct a multi-year sample library. …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…In the GSE68468 dataset, key biomarkers were identified through a screening process involving differential expression analysis, redundancy analysis, and recursive feature elimination technique. …”
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Design and Development of Information Content of an Open Online School for Foreign Citizens in Russian by N. I. Gorodetskaya, I. E. Belotserkovskaya, T. V. Tumanova, N. B. Sherbakova

“…The results of the design, development and testing of the functionality of the open online school “Russia. Vector of possibilities” are presented in the article. …”
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Shelf Life Identification and Quality Analysis of Golden Delicious Apples Based on Hyperspectral Imaging and Near Infrared Spectroscopy by Xin ZHAO, Shuliang ZHENG, Xiaoying NIU, Jiankang CAO, Han CHEN, Zhilei ZHAO

“…The spectroscopy data was pro-processed by savitzky-golay (SGS), savitzky-golay first derivative (1D), standard normal variate (SNV), and area normalize (Normalize), competitive adaptive reweighted sampling aglorithm (CARS) and uninformative variable elimination (UVE) were used to extract characteristic wavelengths, and the shelf-life classification models were established by back propagation neural network (BP) and least squares support vector machine (LS-SVM). …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…However, the combination of EfficientNetB0 pre-training with ML Support Vector Machines (SVM) produced optimal results with accuracy, sensitivity, specificity, precision, F1-Score, and AUC, of 99.4%, 98.7%, 99.1%, 99%, 98.8%, and 100%, respectively. …”
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Establishment of a novel engineering breeding technology for cytoplasmic male sterility by Na Xu, Dong Yu, Longhui Zhang, Tiankang Wang, Zhongxiao Hu, Quanqiang Lei, Yingxin Qiu, Zheming Yuan, Shufeng Song, Li Li

“…First, we constructed a complementation vector containing the fertility restoration module Double Rf4-Rf20, sorting marker gene DsRed2, and pollen lethal gene ZmAA1, then transformed this into a CMS line. …”
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Decreased Nucleus Accumbens Connectivity at Rest in Medication-Free Patients with Obsessive-Compulsive Disorder by Yunhui Chen, Yangpan Ou, Dan Lv, Jidong Ma, Chuang Zhan, Ru Yang, Cuicui Jia, Tinghuizi Shang, Lei Sun, Yuhua Wang, Zhenghai Sun, Guangfeng Zhang, Xiaoping Wang, Wenbin Guo, Ping Li

“…LIBSVM (library for support vector machines) was designed to identify whether altered FC could be applied to differentiate OCD. …”
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Gene therapy in cardiomyopathies - Review of the latest reports by Magdalena Strzelczyk, Gabriela Pabis, Joanna Wziątek, Paula Bętkowska, Iwona Koziołek, Piotr Kowalik, Patrycja Fatyga, Wiktoria Fatyga, Daria Krzyżanowska, Kinga Dowierciał

“…Antisense therapy (ASO) uses antisense oligonucleotides to exclude a particular exon and causes the translation process to stop. Gene replacement involves introducing a healthy copy of a mutated gene into the genome along with an appropriate vector. …”
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Delivery of small interfering RNA through lyophilized natural lipid nanoparticles: effects of natural lipid selection by Hangjie Wang, Wei Li, Junyan Chen, Rong Chen, Yuwei Qi, Linshuang Shen, Kaidi Chen, Lewei Dai, Yuxin Sheng, An Wang, Hong Wang, Chujian Chen, Xiao Cheng, Mancang Gu

“…Context Lipid nanoparticles (LNPs) are the primary non-viral vectors for siRNA delivery. However, synthetic lipids face issues, such as low lysosomal escape efficiency and high cost.Objective This study aimed to use three natural lipids to construct LNPs, optimize their preparation and freeze-drying processes, and evaluate their siRNA delivery efficiency in vitro.Materials and methods Coix seed lipid [Coix lacryma-jobi L. var. mayuen (Roman.) …”
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Cardiac Niche Influences the Direct Reprogramming of Canine Fibroblasts into Cardiomyocyte-Like Cells by Giacomo Palazzolo, Mattia Quattrocelli, Jaan Toelen, Roberto Dominici, Luigi Anastasia, Guido Tettamenti, Inès Barthelemy, Stephane Blot, Rik Gijsbers, Marco Cassano, Maurilio Sampaolesi

“…Exogenous gene expression was obtained using four lentiviral vectors carrying transcription factor genes and different resistance genes. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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Player Tracking Data and Psychophysiological Features Associated with Mental Fatigue in U15, U17, and U19 Male Football Players: A Machine Learning Approach by José E. Teixeira, Pedro Afonso, André Schneider, Luís Branquinho, Eduardo Maio, Ricardo Ferraz, Rafael Nascimento, Ryland Morgans, Tiago M. Barbosa, António M. Monteiro, Pedro Forte

“…A total of five ML models were evaluated: K-Nearest Neighbors (KNN), Gradient Boosting (XGBoost), Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT). …”
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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

“…The dataset was processed and normalized for optimal performance, and hyperparameters were fine-tuned using a randomized search method. …”
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An Improved <i>Agrobacterium</i>-Mediated Transformation Method for an Important Fresh Fruit: Kiwifruit (<i>Actinidia deliciosa</i>) by Chun-Lan Piao, Mengdou Ding, Yongbin Gao, Tao Song, Ying Zhu, Min-Long Cui

“…Furthermore, over 71% of kanamycin-resistant plantlets exhibited robust <i>GFP</i> expression, and the entire transformation process was completed within four months of culture. …”
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