Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Ultrafast complex-valued 4D fMRI reveals sleep-induced brain respiratory pulsation changes in both magnitude and phase signals by Saara Sofia Syväoja, Lauri Raitamaa, Heta Helakari, Jussi Kantola, Matti Järvelä, Janne Kananen, Ville Isokoski, Vesa Korhonen, Tommi Väyrynen, Timo Tuovinen, Jürgen Hennig, Vesa Kiviniemi

“…To study these pulsations more deeply, we employed ultrafast magnetic resonance encephalography (MREG) to capture complex-valued 4D fMRI brain data at a critical 10 Hz sampling rate in healthy volunteers during wakefulness and sleep. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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The diagnostic utility of lung ultrasound in the assessment of interstitial lung disease associated with rheumatoid arthritis by Shaoyu Zheng, Zexuan Zhou, Guangzhou Du, Qingzi Chen, Shaoqi Chen, Jianqun Lin, Shijian Hu, Weijin Zhang, Kedi Zheng, Jinghua Zhuang, Meigan Huang, Barbara Ruaro, Cosimo Bruni, Anna-Maria Hoffmann-Vold, Marco Matucci-Cerinic, Daniel E. Furst, Yukai Wang

“…Sonographic ILD was detected in 76 patients who underwent LUS examination. The concordance rate between two modalities was 83.33% (Kappa value = 0.64, 95% CI 0.50–0.78). …”
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Intracranial directed connectivity links subregions of the prefrontal cortex to major depression by John Myers, Jiayang Xiao, Raissa K. Mathura, Ben Shofty, Victoria Gates, Joshua Adkinson, Anusha B. Allawala, Adrish Anand, Ron Gadot, Ricardo Najera, Hernan G. Rey, Sanjay J. Mathew, Kelly Bijanki, Garrett Banks, Andrew Watrous, Eleonora Bartoli, Sarah R. Heilbronner, Nicole Provenza, Wayne K. Goodman, Nader Pouratian, Benjamin Y. Hayden, Sameer A. Sheth

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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Associations between on-farm factors and bulk tank SCC on Irish dairy farms by Alice Uí Chearbhaill, Pablo Silva Boloña, Eoin G. Ryan, Catherine I. McAloon, Conor G. McAloon, John Upton

“…Parlour technologies such as automatic cluster removers and automatic washers on the milking machine were associated with significantly reduced log10BTSCC, whereas the presence of backing gates and straight breast rails were associated with increased log10BTSCC. …”
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Analysis of HBV infection characteristics and OBI prevalence in pregnant women: a focus on HBcAb + alone or in combination with HBeAb + subgroups in Northwest China by Yun Xie, Ru Kang, Xiaoyue Cheng, Dan Li, Qi Wang, Jiao Li, Xuan Guo, Wenhui Gao, Xin He, Liutong Jiang, Gaili Meng

“…Abstract Background Hepatitis B virus (HBV) infection is a major global health concern. Serological patterns such as “HBeAb + and HBcAb+” or “HBcAb + only” are typically markers, which may represent either resolved infection or potential occult HBV infection (OBI) with risk of vertical transmission. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…High-intensity mining and extended working faces have significantly modified strata pressure manifestation patterns and triggered spatiotemporal evolution of mining-induced pressure. …”
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Prevalence, microbiology, and antimicrobial susceptibility profile of bacterial skin and soft tissue infections in pediatric patients with malignancies at a referral teaching hospi... by Seyed Reza Abdipour Mehrian, Fatemeh Noushadi, Yaser Pourasghar, Armina Farkarian, Elahe Meftah, Fatemeh Homayounifar, Ali Amanati

“…This study aimed to assess the prevalence, microbiology, and antibiotic resistance patterns of SSTIs in children with malignancies admitted to a referral teaching hospital. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…The app received positive ratings, with a System Usability Scale score of 77.4 and a Customer Satisfaction Score of 86.6%. …”
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Amivantamab versus standard therapies among patients with advanced non-small cell lung cancer and epidermal growth factor receptor exon 20 insertion mutations after platinum-based... by Lan Shen, Guangyuan Hu, Yan Wang, Jing Zhao, Xin Li, Jianmin Zhuo, Grace Kah Mun Low, Shun Lu

“…Clinical outcomes and treatment patterns were compared between patients with exon20ins and common EGFR (cEGFR) mutations. …”
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The effect of photodynamic therapy on the wound process dynamics in patients with purulent hand diseases by J. L. Chepurnaya, G. G. Melkonyan, N. T. Gul’muradova, A. A. Sorokin

“…The analysis of cytological and morphological patterns also revealed an accelerated switch from the inflammatory stage of the wound process to the reparative one - the reparative processes in the PDT group began earlier by 2 days. …”
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Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. by Felipe J Colón-González, Leonardo Soares Bastos, Barbara Hofmann, Alison Hopkin, Quillon Harpham, Tom Crocker, Rosanna Amato, Iacopo Ferrario, Francesca Moschini, Samuel James, Sajni Malde, Eleanor Ainscoe, Vu Sinh Nam, Dang Quang Tan, Nguyen Duc Khoa, Mark Harrison, Gina Tsarouchi, Darren Lumbroso, Oliver J Brady, Rachel Lowe

“…As a climate-sensitive disease, environmental conditions and past patterns of dengue can be used to make predictions about future outbreak risk. …”
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…Deep learning (DL) offers a promising alternative for capturing nonlinear genetic relationships due to its ability to identify complex patterns without prior assumptions about the data structure. …”
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Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation by Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

“…Smartphone sensors recorded call activity, location, and screen use, while fitness trackers captured heart rate, sleep patterns, and step count. We extracted patient-level behavioral features and categorized them into 2 feature sets: one from the prediction period (called action) and one from the preceding period (called context). …”
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Population immunity to SARS-CoV-2 virus in residents of the Irkutsk Region in the dynamics of the epidemic by S. V. Balakhonov, V. I. Dubrovina, M. V. Chesnokova, D. D. Bryukhova, N. O. Kiseleva, A. B. Pyatidesyatnikova, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, T. A. Gavrilova, A. A. Seledtsov

“…In this regard, the study of the manifestations of the epidemic process of the new coronavirus infection COVID-19 and the patterns of its development are an urgent area of research. …”
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Groundwater rebound and seepage characteristics and water quality evolution in a sealed mining area in North China type coalfield by Huiyong YIN, Dehui SUN, Fangying DONG, Fanhua WANG, Lifeng ZHANG, Tao WU, Chao LIU, Yifan ZENG

“…After the goaf sealing, water-rock interactions persisted during the reinjection of the accumulated water, but the cation exchange rate slowed down. The mineral phases showed similar but weakened variation trends compared to the water inrush stage. …”
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