Machine learning-driven discovery of anoikis-related biomarkers in Adult T-Cell Leukemia/Lymphoma subtypes by Mohadeseh Zarei Ghobadi, Elaheh Afsaneh

“…These genes are involved in cell adhesion, survival signaling, and apoptosis—key processes in cellular homeostasis and oncogenesis. …”
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Orthodox Monasteries as Centers of Christian Civilization on the Eastern Borders of the Russian State by Inna I. Yurganova

“…The study is devoted to the history and activities of monastic monasteries in Siberia, their importance in the context of the integration of Siberian territories into the Russian statehood, due to the duration of the processes of Christianization: from the creation of a church administrative unit in Siberia (1620) and completion at the beginning of the twentieth century. …”
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Research on the Fault Diagnosis Method of Mine Fan Based on Sound Signal Analysis by Shijie Song, Dandan Qiu, Sunwei Qin

“…At the same time, the audio processing software was used to simulate the sound signals in three fault states. …”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…Concerning methods, early studies were conducted by machine learning algorithms such as support vector machine, decision tree, and random forest classifiers. …”
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Statistical Approach to Research on the Relationship Between Kp/Dst Geomagnetic Indices and Total GPS Position Error by Mario Bakota, Igor Jelaska, Serdjo Kos, David Brčić

“…The ECEF coordinate system calculates the total GPS error as the vector sum of deviations in the X, Y, and Z axes. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…To address the limited adaptability of traditional support vector machine (SVM) models in identifying nonlinear attacks, this study introduces a distribution-driven, dynamically adaptive kernel optimization approach. …”
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Cost Index Predictions for Construction Engineering Based on LSTM Neural Networks by Jiacheng Dong, Yuan Chen, Gang Guan

“…The testing results showed that the proposed LSTM framework had obvious advantages in prediction because of the ability of processing high-dimensional feature vectors and the capability of selectively recording historical information. …”
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The changes in brain network functional gradients and dynamic functional connectivity in SeLECTS patients revealing disruptive and compensatory mechanisms in brain networks by Linfeng Song, Guangrong Wu, Jiaren Zhang, Benqing Liu, Xu Chen, Junjun Wang, Xiaoyu Gu, Binlin Tian, Yongzhe Li, Anjie Zhang, Xuejin Ma, Lin Jiang

“…In the first gradient of the SMN, increased scores were found in the bilateral supplementary motor area, while decreases occurred in the right precentral gyrus. Support vector machine (SVM) analysis showed that FG-based features could effectively identify abnormalities in specific brain networks of SeLECTS (AUC = 0.819). …”
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Understanding Host–Pathogen Interactions in Congenital Chagas Disease Through Transcriptomic Approaches by Tatiana M. Cáceres, Luz Helena Patiño, Juan David Ramírez

“…While traditionally associated with vector-borne transmission, increased migration has expanded its reach into urban and non-endemic regions. …”
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Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

“…The video games are a significant tool for influencing the processes of transformation of mass consciousness through interactive symbols and narratives. …”
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Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…A well-structured ML pipeline was developed to integrate these processes, optimizing the entire model development cycle for efficiency and practical implementation. …”
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Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

“…Penelitian deteksi pola dan karakteristik cyberbullying banyak dilakukan dengan berbagai metode, seperti dengan mengimplementasikan Machine Learning, Natural Language Processing (NLP), dan Sentiment Analysis yang memiliki variasi akurasi yang berbeda, dengan keunggulan dan kelemahan dari masing-masing metode. …”
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Deep Ensemble Learning With Pruning for DDoS Attack Detection in IoT Networks by Makhduma F. Saiyedand, Irfan Al-Anbagi

“…DDoS attacks have evolved into complex multi-vector threats that high-volume and low-volume attack strategies, posing challenges for detection using traditional methods. …”
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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…Results In binary classifications, we used ML techniques such as “support vector machine (SVM), random forest (RF), logistic regression (LR), and Gaussian naive Bayes (GNB),” and used BERT transformers “ARABERT.” …”
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Digital reconstruction of historic roof structures: developing a workflow for a highly automated analysis by Markus Pöchtrager, Gudrun Styhler-Aydın, Marina Döring-Williams, Norbert Pfeifer

“…The  developed  workflow  containsseveral  processing steps on the point cloud dataset. The most important among them arethenormal vector computation, the segmentation of points to extract planarfaces, a classification of planarsegmentsto detect the beam side facesand finally theparametric modelling of the beams on the basis of classified segments. …”
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Analysis of the promoters involved in enterocin AS-48 expression. by Rubén Cebrián, Sonia Rodríguez-Ruano, Manuel Martínez-Bueno, Eva Valdivia, Mercedes Maqueda, Manuel Montalbán-López

“…Seven putative promoters have been here amplified, and separately inserted into the promoter-probe vector pTLR1, to create transcriptional fusions with the mCherry gene used as a reporter. …”
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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…The well-known classification algorithms are focused on the post-processing of hydroacoustic information, have high computational complexity and cannot be implemented in devices with limited computing resources. …”
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MiR-25 regulates Wwp2 and Fbxw7 and promotes reprogramming of mouse fibroblast cells to iPSCs. by Dong Lu, Matthew P A Davis, Cei Abreu-Goodger, Wei Wang, Lia S Campos, Julia Siede, Elena Vigorito, William C Skarnes, Ian Dunham, Anton J Enright, Pentao Liu

“…<h4>Methods</h4>We screened 52 miRNAs cloned in a piggybac (PB) vector for their roles in reprogramming of mouse embryonic fibroblast cells to iPSCs. …”
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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…Using amplitude spectrum analysis, Hilbert envelope demodulation and wavelet packet decomposition method, and other vibration signal processing methods, preliminary extraction of multiple statistical feature parameters are given. …”
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DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative. by Said A Salloum, Khaled Mohammad Alomari, Ayham Salloum

“…This study addresses this challenge by employing two advanced machine learning models, NuSVC (Nu-Support Vector Classification) and XGBoost (Extreme Gradient Boosting), to classify DNA sequences related to Diabetes Mellitus. …”
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