Integrative analysis of RNA-Seq data and machine learning approaches to identify Biomarkers for Rhizoctonia solani resistance in sugar beet by Bahman Panahi, Mahdi Hassani, Nahid Hosseinzaeh Gharajeh

“…We ranked differentially expressed genes (DEGs) using feature-weighting algorithms, such as Relief and kernel-based methods, to model expression patterns between sensitive and tolerant cultivars. …”
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Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…The novelty of this work resides in the developed network architecture. In comparison to previous research, this work presents a deep binarized neural network featuring two hidden layers, each containing 256 units to effectively capture the spike characteristics of complex neural data. …”
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Behavior Coding of Adolescent and Therapy Dog Interactions During a Social Stress Task by Seana Dowling-Guyer, Katie Dabney, Elizabeth A. R. Robertson, Megan K. Mueller

“…Future research should focus on identifying specific patterns of interactive behaviors between dogs and humans that predict anxiolytic outcomes.…”
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Design Guidelines for Material Extrusion of Metals (MEX/M) by Karim Asami, Mehar Prakash Reddy Medapati, Titus Rakow, Tim Röver, Claus Emmelmann

“…Geometric accuracy was quantitatively assessed through a 3D scan by comparing the manufactured parts to their original CAD models, allowing the identification of deformation patterns and shrinkage rates. Finally, the practical utility of the developed guidelines was demonstrated by successfully manufacturing an impeller designed according to the established geometric constraints. …”
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Methanol crossover and selectivity of nafion/heteropolyacid/montmorillonite nanocomposite proton exchange membranes for DMFC applications by M. Azimi, S.J. Peighambardoust

“…Methanol crossover through polymer electrolyte membranes is a critical issue and causes an important reduction of performance in DMFCs. The developed intercalated nafion/CsPW/MMT nanocomposite membranes have successfully improved the membrane barrier properties due to the unique feature of MMT which contributed to the formation of a longer pathway towards methanol across the membrane. …”
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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. …”
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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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NPP estimation by fusing geodetector and deep spatio-temporal networks by Xiaohui He, Chenqiao Yuan, Panle Li, Xijie Cheng, Mengjia Qiao, Xiaoyu He, Nan Yang, Guangsheng Zhou, Jiandong Shang

“…Specially, the IGDSNet uses the geodetector to explore geographic mechanism of NPP and then introduces the spatio-temporal long- and short-term memory networks (ST-LSTM) to obtain the deep spatio-temporal feature of NPP. Finally, we develop a novel decoder by combining self-attention unit (SAU) and 3D convolution (Conv3D) to produce the spatio-temporal distribution of NPP. …”
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Tricho-Vision: The use of computer vision in trichotaxonomy for enhancing wildlife conservation of priority species by Alloy Das, Priyanka Banerjee, Sanket Biswas, Manokaran Kamalakannan, Joydev Chattopadhyay, Dhriti Banerjee, Tanoy Mukherjee

“…The methodology integrates automated feature extraction of cuticle patterns and medulla structures, enabling high-precision species differentiation. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…This paper presents an intelligent security defense framework that integrates intrusion detection, risk scoring, and response mechanisms to enhance the security and responsiveness of the T2G communication system. First, feature selection is performed on the TON_IoT dataset to develop a Dream Optimization Algorithm (DOA)-optimized backpropagation neural network (DOA-BPNN) model for efficient anomaly detection. …”
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Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

“…Post-moratorium, fishing hotspots expanded explosively, peaking in October and clustering in Yushan, Zhoushan, and Yangtze River estuary fishing grounds. Quarterly patterns identified autumn–winter 2021 as peak fishing seasons, with hotspots covering >80% of East China Sea grounds. …”
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ICT-Net: A Framework for Multi-Domain Cross-View Geo-Localization with Multi-Source Remote Sensing Fusion by Min Wu, Sirui Xu, Ziwei Wang, Jin Dong, Gong Cheng, Xinlong Yu, Yang Liu

“…Our approach harnesses the complementary strengths of CNNs in capturing local geometric details and Transformers in establishing long-range dependencies, enabling comprehensive joint perception of both local and global visual patterns. Furthermore, capitalizing on the Transformer’s flexible input processing mechanism, we develop an attention-guided non-uniform cropping strategy that dynamically eliminates redundant image patches with minimal impact on localization accuracy, thereby achieving enhanced computational efficiency. …”
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Establishing a Prognostic Model Correlates to Inflammatory Response Pathways for Prostate Cancer via Multiomic Analysis of Lactylation-Related Genes by Qinglong Du, CuiYu Meng, Wenchao Zhang, Li Huang, Chunlei Xue

“…Therapeutic vulnerability profiling demonstrated differential response patterns: low-risk patients exhibited enhanced immune checkpoint inhibitor responsiveness, whereas high-risk subgroups showed selective chemosensitivity to docetaxel and mitoxantrone. …”
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Ultra-Wide-Band and Polarization-Insensitive Metamaterial Absorber With Resistive Ink Sheet for RCS Reduction Applications by Ramesh Amugothu, Vakula Damera

“…The structure of the unit cell is designed using a dielectric FR4 substrate with resistive ink patterns printed on it. With the help of computational optimization using the Ansys HFSS tool, the proposed unit cell's various geometric parameters are fine-tuned to achieve outstanding results. …”
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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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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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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

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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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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