Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…Empirical analysis determined that optimal forecasting is achieved with a 50-time-step input sequence, and that predicting 10% of the input sequence length strikes a balance between temporal coverage and accuracy. …”
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Synaptic Structure and Transcriptomic Profiling of Reward and Sensory Brain Areas in Male Mice of Fentanyl Addiction by Feng J, Xu N, Wang L, Wang H, Zhou Y, Shen Q

“…These transcriptomic changes may be correlated with the structural and behavioral changes observed in fentanyl-exposed mice.Discussion: The findings of this study contribute to a better understanding of the molecular mechanism of addiction behavior, which is essential for the development of optimized therapy strategies for addicts.Keywords: fentanyl, addiction, synaptic plasticity, gene expression, transcriptional profiles…”
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Generation of Individualized, Standardized, and Electrically Synchronized Human Midbrain Organoids by Sanae El Harane, Bahareh Nazari, Nadia El Harane, Manon Locatelli, Bochra Zidi, Stéphane Durual, Abderrahim Karmime, Florence Ravier, Adrien Roux, Luc Stoppini, Olivier Preynat-Seauve, Karl-Heinz Krause

“…Air–liquid interface organoids (3D-ALi) showed optimized size and shape standardization. RNA sequencing and immunostaining confirmed neural/dopaminergic specification. …”
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Selective ligand recognition by a diversity-generating retroelement variable protein. by Jason L Miller, Johanne Le Coq, Asher Hodes, Roman Barbalat, Jeff F Miller, Partho Ghosh

“…Diversity-generating retroelements (DGRs) recognize novel ligands through massive protein sequence variation, a property shared uniquely with the adaptive immune response. …”
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Method of adaptive component-based design of unmanned aerial vehicles suitable for military missions by Oleg Fedorovich, Leonid Malieiev, Tetyana Pisklova, Yevhenii Polishchuk

“…The research utilizes a range of mathematical methods and models, including: systems analysis for adaptive project activities related to UAV development; component-based UAV design method; lexicographic ordering for ranking design alternatives; expert evaluation techniques for identifying the most rational UAV configuration; targeted search method for optimal developer team formation using integer (Boolean) programming; and simulation modeling to plan the sequence of project activities for adapting UAV component architectures to new military applications. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The attention mechanism is built to highlight key features and convert the vector sequence into an annotation probability matrix. Thirdly, the CRF algorithm is utilized to decode the relationship between the output predicted labels and generate the optimal label sequence. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…The attention mechanism is built to highlight key features and convert the vector sequence into an annotation probability matrix. Thirdly, the CRF algorithm is utilized to decode the relationship between the output predicted labels and generate the optimal label sequence. …”
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Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework by Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud

“…Unlike conventional DL architectures, the proposed technique introduces an efficient parallelized sequence processing strategy that significantly reduces training complexity while preserving robust adaptability across diverse conditions. …”
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Cytochrome “nanowires” are physically limited to sub-picoamp currents that suffice for cellular respiration by Matthew J. Guberman-Pfeffer, Caleb L. Herron

“…If the sequence of slip- and T-stacked hemes in the CNs had the fastest known nanosecond rates at every step, a micron-long filament would carry a diffusive 0.02 pA current at a physiological 0.1 V, or a protein-limited current of 0.2 pA. …”
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Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

“…Besides, we design a spectral attention mechanism (SpeAM), which dynamically weights remote dependencies through bidirectional spectral sequence analysis, while the graph-based spatial processing adaptively learns patch similarities through optimized edge connections. …”
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A Secure Communication Method for Unmanned Undersea Systems Oriented to Federated Learning by Jiajia WU, Ming XU

“…By adopting multi-objective optimization techniques, the Pareto optimal solution was found to strike a balance between model accuracy and secure throughput. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…A dual time-length transformer (DT) RUL prediction model incorporating a stacked denoising autoencoder (SDAE) was constructed (SDAE‒DT Net), and particle swarm optimization (PSO) was used for model hyperparameter optimization. …”
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Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach by Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj, Musa Mammadov

“…The rainfall forecasting was achieved through sequence learning capability of the Long Short-Term Memory (LSTM) method. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. This module normalizes input data and uses a stacked multilayer perceptron to extract cross-temporal and cross-dimensional dependencies. …”
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Shale lithofacies mechanical differences from tectonic-diagenetic coupling and their response to hydraulic fracture network propagation by Liyan Yang, Xiangdong Peng, Ying Hu, Anan Liu

“…Hydraulic fracturing in a stacked sequence of thinly laminated siliceous shale and clay-rich siliceous shale is significantly influenced by bedding planes acting as “stress barriers.” …”
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Is it safe to dance flamenco during pregnancy? Biomechanical considerations by Wanda Forczek-Karkosz

“…As the registrations revealed, strikes with different parts of the foot generate different impacts to those elements. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…Then, the sequences were aligned and stacked to achieve a constant length of 20. …”
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Public antibodies: convergent signatures in human humoral immunity against pathogens by Vishal N. Rao, Camila H. Coelho

“…However, different people often produce strikingly similar antibodies when exposed to the same antigen—known as public antibodies. …”
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Web Application Firewall Based on Anomaly Detection using Deep Learning by Sezer Toprak, Ali Gökhan Yavuz

“…The main focus of the research is WAF systems that employ single and stacked LSTM layers which are based on character sequences of user supplied data and revealing hyper-parameter values for optimal results. …”
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Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction by Rusul L. Abduljabbar, Hussein Dia, Pei-Wei Tsai

“…The optimized 4-layer BiLSTM model was then calibrated and validated for multiple prediction horizons using data from three different freeways. …”
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