Prevalence and risk factors of the most common multimorbidity among Canadian adults. by Obed Mortey, Gerald Mugford, Kris Aubrey-Bassler, Hensley H Mariathas, Ugochukwu Odimba, Zhiwei Gao

“…<h4>Conclusion</h4>Multimorbidity is a common feature among Canadian adults. The identification of the most prevalent patterns and associated risk factors in this study provides fresh insights into the etiology, progression, and possible prevention of the MCM among Canadian adults.…”
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Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Abstract Bladder cancer (BC) is one of the most prevalent types of cancer in developed countries. BC is characterized by its highly heterogeneous and dynamic nature, with significantly higher morbidity and mortality rates in men compared to women. …”
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sEMG-Based Gesture Recognition Using Sigimg-GADF-MTF and Multi-Stream Convolutional Neural Network by Ming Zhang, Leyi Qu, Weibiao Wu, Gujing Han, Wenqiang Zhu

“…To comprehensively leverage the temporal, static, and dynamic information features of multi-channel surface electromyography (sEMG) signals for gesture recognition, considering the sensitive temporal characteristics of sEMG signals to action amplitude and muscle recruitment patterns, an sEMG-based gesture recognition algorithm is innovatively proposed using Sigimg-GADF-MTF and multi-stream convolutional neural network (MSCNN) by introducing the Sigimg, GADF, and MTF data processing methods and combining them with a multi-stream fusion strategy. …”
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Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems by Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody

“…This study leverages AI methods to develop nine classification models using supervised machine learning classifiers. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and handcrafted language models. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…Our method first preprocesses reviews and extracts key linguistic features based on extravagant words using a fuzzy logic-based membership function that highlights extreme linguistic patterns. …”
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One-Dimensional Deep Residual Network with Aggregated Transformations for Internet of Things (IoT)-Enabled Human Activity Recognition in an Uncontrolled Environment by Sakorn Mekruksavanich, Anuchit Jitpattanakul

“…This research introduces an innovative methodology employing a modified deep residual network, called 1D-ResNeXt, for IoT-enabled HAR in uncontrolled environments. We developed a comprehensive network that utilizes feature fusion and a multi-kernel block approach. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…The authors of the articles used normalization as a feature scaling method in 18 articles, while standardization was used in 3 articles. …”
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Predicting anemia management in dialysis patients using open-source machine learning libraries by Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya

“…These models closely mirrored actual prescribing patterns, suggesting feasibility for clinical integration. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Results confirm the model&#x2019;s capacity to disentangle complex market patterns while maintaining computational tractability. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…Modern complexes providing biometric identification face several problems, such as information drift caused by the variability of facial patterns, voice timbres, and current states. Information drift can characteristically exhibit short-term (subjects' states have changed) or long-term changes. …”
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Predicting dementia from primary care records: A systematic review and meta-analysis. by Elizabeth Ford, Nicholas Greenslade, Priya Paudyal, Stephen Bremner, Helen E Smith, Sube Banerjee, Shanu Sadhwani, Philip Rooney, Seb Oliver, Jackie Cassell

“…Variables in the primary care record may indicate risk of developing dementia, and could be combined in a predictive model to help find patients who are missing a diagnosis. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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3D-GloBFP: the first global three-dimensional building footprint dataset by Y. Che, X. Li, X. Liu, X. Liu, Y. Wang, W. Liao, X. Zheng, X. Zhang, X. Xu, Q. Shi, J. Zhu, H. Zhang, H. Zhang, H. Yuan, H. Yuan, Y. Dai, Y. Dai

“…Our approach integrated multisource remote-sensing features and building morphology features to develop height estimation models using the extreme gradient boosting (XGBoost) regression method across diverse global regions. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. However, the integration of ML into workflows can pose challenges due to technical barriers or the time-intensive nature of coding. …”
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Graphical Notation for Document Database Modeling by M. V. Smirnov, R. S. Tolmasov

“…The use of graphical models constructed in the proposed graphical notation will allow researchers to create and illustrate typical patterns of document databases, which will undoubtedly have a positive impact on the dynamics of the development of promising data storage technologies.…”
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Sepsis like a severe complication of autoimmune liver disease in gastroenterological patients by A. A. Yakushev, I. G. Fedorov, L. Yu. Ilchenko, S. S. Shmycova, S. A. Rautbard, S. U. Orlov, I. G. Nikitin, A. V. Salicov

“…In article we present particular qualities of disease pattern and methods of treatment in patients with ulcer colitis associated with primary sclerosing cholangitis and autoimmune hepatitis. …”
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Optical properties, inclusions, and chemical composition of blue corundum from the Stazh-2 deposit, South-Western Pamir by A. K. Litvinenko, D. B. Vandanova, O. A. Shilova, S. B. Pakhomova

“…Areas with chromium exhibit sharp rectilinear boundaries. (3) Zircon, diaspore, boehmite, muscovite, calcite, as well as gas-liquid inclusions with CO2, were determined in the composition of blue corundum. (4) Two color generations due to newly formed fractures and minerals were identified. (5) The inclusions of diaspore, boehmite, muscovite, and calcite are the result of the hydration and carbonation reactions that occurred between corundum and anorthite at later development stages. (6) The blue corundum samples contained Ti and Fe with a predominance of Ti over Fe, which is a distinctive feature of the Stazh-2 deposit from other deposits of blue corundum and sapphires.Conclusion. …”
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Identifying guard hairs of Rocky Mountain carnivores by Jacalyn Normandeau, Kara Macaulay, Jodi Berg, Evelyn Merrill

“…We used Random Forest (RF) to identify features that best classified known‐origin guard hairs (n = 175) and used these characteristics to develop a dichotomous key for hair identification of the 7 major, large carnivore species common to the Rocky Mountains of Alberta, Canada. …”
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One-Step Dry-Etching Fabrication of Tunable Two-Hierarchical Nanostructures by Xu Ji, Bo Wang, Zhongshan Zhang, Yuan Xiang, Haifang Yang, Ruhao Pan, Junjie Li

“…Both the mask pattern and etching parameters play crucial roles, by which two-hierarchical structures with diversiform shapes can be constructed controllably. …”
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