Fatty acids of erythrocyte membranes and blood serum as biomarkers for early detection of colorectal cancer by M. V. Kruchinina, V. N. Kruchinin, A. A. Gromov, M. V. Shashkov, A. S. Sokolova, I. N. Yakovina, A. A. Shestov

“…The aim of the study was to identify fatty acids (FA) of erythrocyte membranes and blood serum, which can serve as potential biomarkers for early detection of colorectal cancer.Material and methods. the study involved 65 patients with stage I-II CRC (mean age 63,3 ± 9,6 years (30 men, 35 women) and 35 people in the comparison group, matched by age and sex. the composition of fatty acids of erythrocyte membranes and blood serum was studied using a gc/ms system based on three agilent 7000B quadrupoles (USA). methods of the MATLAB software (R2019a, MathWorks) and the R programming language were used for statistical processing: t-test, unsupervised principal component analysis (PCA), Fold change, Volcano plot, machine learning method (Random Forest), Roc analysis, Heatmaps.Results. patients with stage I-II CRC showed a decrease in the level of saturated, individual monounsaturated fatty acids and a highly significant increase in the most of the polyunsaturated fatty acids with a predominance of omega-3. …”
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An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study by Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

“…ConclusionsNeural networks using large language model–based transfer learning can accurately identify SI and ASE. …”
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Gut-Microbiome Signatures Predicting Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: A Systematic Review by Ielmina Domilescu, Bogdan Miutescu, Florin George Horhat, Alina Popescu, Camelia Nica, Ana Maria Ghiuchici, Eyad Gadour, Ioan Sîrbu, Delia Hutanu

“…Methods: MEDLINE, Embase and PubMed were searched from inception to 30 April 2025. …”
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Moderate-to-vigorous group aerobic exercise versus group leisure activities for mild-to-moderate depression in adolescents: study protocol for a multicentre randomised controlled t... by Carl Johan Sundberg, Andreas Ivarsson, Ingrid Larsson, Eva Serlachius, Maria Lalouni, Fabian Lenhard, Håkan Jarbin, Rebecca Mortazavi, Jessica Norrbom, Emma Haglund, Tina Cronqvist, Kristina Ingemarsson, Åsa Mårsell, Olof Rask, Rebecca Andersson

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Promoting tactical-technical actions during small-sided soccer games: A narrative review on constraints’ manipulation within ecological teaching models (Promoción de acciones técn... by Eduardo de Paula Amorim Borges, Gibson Moreira Praça, Lucas Savassi Figueiredo, Carlos Alexandre Vieira, Gustavo De Conti Teixeira Costa

“…   Aiming to improve the players’ performance in soccer, coaches and teachers have been employing contemporary training methods, which include the use of small-sided games. …”
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Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review by Yifan Jia, Hongyu Pei, Jiaqi Liang, Yuheng Zhou, Yanfei Yang, Yangyang Cui, Min Xiang

“…This paper categorizes and compares different ECG denoising methods based on noise types, such as baseline wander (BW), electromyographic noise (EMG), power line interference (PLI), and composite noise. …”
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RUKUN NASUTION (1928-1998) AND HIS POETRY CORPUS: A Preliminary Study by Hasan Asari, Yusnaili Budianti

“…Rukun Nasution identified available learning potentials around him and maximized it to advance his education. …”
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Design of an Electronic Nose System with Automatic End-Tidal Breath Gas Collection for Enhanced Breath Detection Performance by Dongfu Xu, Pu Liu, Xiangming Meng, Yizhou Chen, Lei Du, Yan Zhang, Lixin Qiao, Wei Zhang, Jiale Kuang, Jingjing Liu

“…Regarding this issue, this study proposes a novel electronic nose system and employs a threshold control method based on exhaled gas flow characteristics to design a gas collection module. …”
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Fatty Acids of Erythrocyte Membranes and Blood Serum in Differential Diagnosis of Inflammatory Bowel Diseases by M. V. Kruchinina, I. O. Svetlova, M. F. Osipenko, N. V. Abaltusova, A. A. Gromov, M. V. Shashkov, A. S. Sokolova, I. N. Yakovina, A. V. Borisova

“…The study of fatty acids (FA) composition of RBC membranes and BS was carried out using GC/MS system based on three Agilent 7000B quadrupoles (USA).Results. …”
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Estimation of the water content of needles under stress by Erannis jacobsoni Djak. via Sentinel-2 satellite remote sensing by Jiaze Guo, Xiaojun Huang, Xiaojun Huang, Xiaojun Huang, Debao Zhou, Junsheng Zhang, Gang Bao, Gang Bao, Siqin Tong, Siqin Tong, Yuhai Bao, Yuhai Bao, Dashzebeg Ganbat, Dorjsuren Altanchimeg, Davaadorj Enkhnasan, Mungunkhuyag Ariunaa

“…Its damage predominantly affects pine species, resulting in significant changes to the biochemical composition of needle leaves. Needle leaf water content exhibits a clear response to these changes and is highly sensitive in reflecting the degree of tree damage.MethodsIn this work, we combine vegetation indices with machine learning algorithms to estimate the water content of needles at a large scale. …”
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TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…Experimental results demonstrate that the proposed method achieves a 15.8% improvement in AUC and a ten-fold increase in speed compared to typical deep learning-based methods, providing an efficient and accurate real-time tracking solution, particularly in scenarios with similar target–background characteristics, high-speed motion, and limited target movement.…”
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The role of psychological capital and self-regulation in students\' academic enthusiasm with the mediation of Whit-Kin\'s cognitive styles (case study: 16-18-year-old secondary sch... by Fatemeh Ozbakpoor, Fatemeh Soghra Karbalaei Harafteh, Samaneh Salimi

“…Data analysis methods included composite data analysis and multiple regression modeling with the least squares pattern using the Sobel test, performed with SPSS version 20 and LISREL software. …”
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Comparative Analysis of Wear Models for Accurate Wear Predictions by Guntis Springis, Irina Boiko

“…The development of innovative technologies and the employment of diverse material compositions have contributed to the enhancement of wear prediction methods. …”
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The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers by Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu, Vikas Bommineni, Dimitris Grigoriadis, Erik Toorens, Chiharu Sako, Elizabeth Mamourian, Dominique Ballinger, Robyn Sussman, Ashish Singh, Ioannis I. Verginadis, Nadia Dahmane, Constantinos Koumenis, Zev A. Binder, Stephen J. Bagley, Suyash Mohan, Artemis Hatzigeorgiou, Donald M. O’Rourke, Tapan Ganguly, Subhajyoti De, Spyridon Bakas, MacLean P. Nasrallah, Christos Davatzikos

“…Radiogenomic signatures and spatial distribution maps were generated for key mutations in genes such as EGFR, PTEN, TP53, and NF1 and their corresponding pathways. Machine and deep learning models were used to identify imaging biomarkers and stratify tumors based on their genetic profiles and molecular heterogeneity. …”
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Genomic analysis and characterization of lytic bacteriophages that target antimicrobial resistant Escherichia coli in Addis Ababa, Ethiopia by Tamirat Salile Sada, Dawit Hailu Alemayehu, Kalkidan Melaku Tafese, Tesfaye Sisay Tessema

“…Phage genome sequence analysis is a novel method for learning more about proteins and other biomolecules encoded by phages, particularly phage-lytic enzymes that are crucial to the lysis of bacterial cells. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

“…A 2D Convolutional Neural Network (2D CNN) based on feature selection was proposed for origin classification. …”
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Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential by Rodolfo Montironi, Marina Scarpelli, Antonio Lopez-Beltran, Roberta Mazzucchelli, David Alberts, James Ranger-Moore, Hubert G. Bartels, Peter W. Hamilton, Janine Einspahr, Peter H. Bartels

“…Greater success was obtained by applying unsupervised learning technologies to take advantage of phenotypical composition (correct classification of 92%). …”
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Additive manufacturing of thermoset elastomers: A review of emerging technologies by Csenge Tóth, Ábris Dávid Virág, István Halász-Kutasi, Norbert Krisztián Kovács, Tamás Bárány

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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

“…Recent advancements in Artificial Neural Networks (ANNs) have revolutionized CV applications, enabling systems to autonomously learn and optimize tasks. However, ANN-based approaches often require complex development and lengthy training periods, making their implementation a challenge. …”
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Updimensioning strategy derived from synthetic equiaxed grain structures for approximating 3D grain size distributions from 2D visualizations with 1D parameters by Kevin Gillespie, Algirdas Baskys, Ian Pong, Jean-Francois Croteau

“…Abstract We generated synthetic equiaxed grain structures using computer graphics software to explore the relationship between various grain size determination methods and true three-dimensional (3D) grain diameters. …”
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