HybNet: A hybrid deep models for medicinal plant species identification by B.R. Pushpa, S. Jyothsna, S. Lasya

“…Our study addresses this challenge by introducing three pioneering hybrid models, seamlessly integrating the strengths of convolution neural networks. …”
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SAGE-NET—Reconceiving Edge Intelligence Using Attention-Based Deep Learning Framework for Effective Classification of Electrocardiogram (ECG) in WSN-IoT Environment by P. Vinoth Kumar, C. N. Marimuthu

“…In this model, attention layers embedded in the GRNN are deployed on edge devices to enhance intelligence for effective ECG signal classification. …”
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A Novel Multi-Objective Fuzzy Deep Learning Framework for Predictive Maintenance in Industrial Internet of Things by Jiangang Feng, Jicheng Kan

“…The proposed method leverages NSBBO in two critical areas: backpropagation optimization within CNN’s fully connected neural network layers and membership function optimization to refine fuzzy logic handling of uncertain or noisy information. …”
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Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation by Barbora Salovska, Hongwen Zhu, Tejas Gandhi, Max Frank, Wenxue Li, George Rosenberger, Chongde Wu, Pierre‐Luc Germain, Hu Zhou, Zdenek Hodny, Lukas Reiter, Yansheng Liu

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Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Jinchao Xiao, Jingfeng Yang

“…This research addresses these challenges by integrating EVI and biometric systems into a comprehensive framework aimed at improving vehicle scheduling. …”
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Forelimb feathering, soft tissues, and skeleton of the flying dromaeosaurid Microraptor by Maxime Grosmougin, Xiaoli Wang, Xiaoting Zheng, Thomas G. Kaye, Matthieu Chotard, Luke A. Barlow, T. Alexander Deccechi, Michael B. Habib, Juned Zariwala, Scott A. Hartman, Xing Xu, Michael Pittman

“…With the new specimens studied here, we uncovered the whole shape of the wing from the tip of the digits to the proximal end of the ulna, the different layers of feathers, and the number as well as characteristics of each feather type. …”
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Construction and Influence of Induced Pluripotent Stem Cells on Early Embryo Development in Black Bone Sheep by Daqing Wang, Yiyi Liu, Lu Li, Xin Li, Xin Cheng, Zhihui Guo, Guifang Cao, Yong Zhang

“…The piggyBac+TET-on transposon induction system has a high efficiency in integrating exogenous genes in multiple cell types, can precisely integrate to reduce genomic damage, has a flexible gene expression regulation, and a strong genetic stability. …”
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The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study by Shumei Miao, Pei Ji, Yongqian Zhu, Haoyu Meng, Mang Jing, Rongrong Sheng, Xiaoliang Zhang, Hailong Ding, Jianjun Guo, Wen Gao, Guanyu Yang, Yun Liu

“…MethodsThis study designed a clinical decision support system (CDSS) with data, learning, knowledge, and application layers. It integrates multimodal data from hospital laboratory information systems, hospital information systems, electronic medical records, electrocardiography, nursing, and other systems to build a knowledge model. …”
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Endoscopic Full Thickness Resection Device (FTRD^®) for the Management of Gastrointestinal Lesions: Current Evidence and Future Perspectives by Magdalini Manti, Apostolis Papaefthymiou, Spyridon Dritsas, Nikolaos Kamperidis, Ioannis S. Papanikolaou, Konstantina Paraskeva, Antonio Facciorusso, Konstantinos Triantafyllou, Vasilios Papadopoulos, Georgios Tziatzios, Paraskevas Gkolfakis

“…Unlike conventional endoscopic resection methods, such as endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD), EFTR enables en bloc excision of both intraluminal and subepithelial lesions by resecting all layers of the GI wall, followed by defect closure to prevent complications. …”
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A Bioinert Hydrogel Framework for Precision 3D Cell Cultures: Advancing Automated High‐Content and High‐Throughput Drug Screening by Hyunsu Jeon, Tiago Thomaz Migliati Zanon, James Carpenter, Aliciana Ilias, Yamil Colón, Yichun Wang

“…This results in a multi‐layered iCC domain, enabling the generation of in‐vitro 3D culture models with over 1000 spheroids per well in a 96‐well plate. …”
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A Hybrid Convolutional–Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson’s Disease Detection by Chayut Bunterngchit, Laith H. Baniata, Hayder Albayati, Mohammad H. Baniata, Khalid Alharbi, Fanar Hamad Alshammari, Sangwoo Kang

“…To overcome these challenges, this study proposes a convolutional transformer enhanced sequential model (CTESM), which integrates convolutional neural networks, transformer attention blocks, and long short-term memory layers to capture spatial, temporal, and sequential EEG features. …”
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An efficient and comprehensive field protocol for assessing fuel characteristics for fire behaviour modelling in Australian open forests by Jennifer J. Hollis, Miguel G. Cruz, W. Lachlan McCaw, James S. Gould, Stephanie A. Samson

“…The method provides information about: • Cover and height (or depth) of each strata; • Mass of fine fuels of litter, dead suspended and live understorey layers (dead fuel diameter (d) ≤ 0.6 cm, live fuel d ≤ 0.4 cm); and • Mass and size class distribution of downed woody fuels (d>0.6 cm).The protocol integrates a variety of sampling methods including destructive sampling for fine fuel particles, line intersect method for downed woody fuel, and indirect approaches relying on double sampling techniques to estimate live understorey, bark and overstorey canopy fuels. …”
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The JWST View of Cygnus A: Jet-driven Coronal Outflow with a Twist by Patrick M. Ogle, B. Sebastian, A. Aravindan, M. McDonald, G. Canalizo, M. L. N. Ashby, M. Azadi, R. Antonucci, P. Barthel, S. Baum, M. Birkinshaw, C. Carilli, M. Chiaberge, C. Duggal, K. Gebhardt, S. Hyman, J. Kuraszkiewicz, E. Lopez-Rodriguez, A. M. Medling, G. Miley, O. Omoruyi, C. O’Dea, D. Perley, R. A. Perley, E. Perlman, V. Reynaldi, M. Singha, W. Sparks, G. Tremblay, B. J. Wilkes, S. P. Willner, D. M. Worrall

“…We present first results from James Webb Space Telescope Near-Infrared Spectrograph, Mid-Infrared Instrument, and Keck Cosmic Webb Imager integral field spectroscopy of the powerful but highly obscured host galaxy of the jetted radio source Cygnus A. …”
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Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism by Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

“…Our proposed model leverages a hybrid architecture of convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) layers, and an attention mechanism, enabling refined spatial and temporal feature extraction to enhance BP estimation accuracy. …”
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Spatial structural characteristics of the Deda ancient landslide in the eastern Tibetan Plateau: Insights from Audio-frequency Magnetotellurics and the Microtremor Survey Method by Zhen-dong Qiu, Chang-bao Guo, Yi-ying Zhang, Zhi-hua Yang, Rui-an Wu, Yi-qiu Yan, Wen-kai Chen, Feng Jin

“…The distinctive geological characteristics detectable by MSM in the shallow subsurface and by AMT in deeper layers. The findings include the identification of two sliding zones in the Deda I landslide, the shallow sliding zone (DD-I-S1) depth is approximately 20 m, and the deep sliding zone (DD-I-S2) depth is 36.2–49.9 m. …”
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Cellular Reprogramming Employing Recombinant Sox2 Protein by Marc Thier, Bernhard Münst, Stephanie Mielke, Frank Edenhofer

“…Sox2-piPS cells express pluripotency-associated markers and differentiate into all three germ layers.…”
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Two-Dimensional X-Ray Diffraction (2D-XRD) and Micro-Computed Tomography (Micro-CT) Characterization of Additively Manufactured 316L Stainless Steel by Puskar Pathak, Goran Majkic, Timmons Erickson, Tian Chen, Venkat Selvamanickam

“…Some porosity was found mostly concentrated in the initial layers of print and decreased along the build direction. 2D-XRD was used for phase analysis and grain size determination. …”
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Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models by Esraa Hassan, Sarah Abu Ghazalah, Nora El-Rashidy, Tarek Abd El-Hafeez, Tarek Abd El-Hafeez, Mahmoud Y. Shams

“…Unlike traditional DenseNet variants, proposed model incorporates SE attention layers to focus on critical image features, significantly improving performance. …”
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Deep Learning-Based Postural Asymmetry Detection Through Pressure Mat by Iker Azurmendi, Manuel Gonzalez, Gustavo García, Ekaitz Zulueta, Elena Martín

“…Deep learning, a subfield of artificial intelligence that uses neural networks with multiple layers, is rapidly changing healthcare. Its ability to analyze large datasets and extract relevant information makes it a powerful tool for improving diagnosis, treatment, and disease management. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…The main objective of the CPSO is to minimize the prediction error through optimizing the LSTM's hyper-parameters such as neurons in hidden layers, learning rate, batch size, dropout rate and activation function. …”
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