A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…For each feature derived from a microRNA target-site duplex, we create a corresponding image. These images are processed in parallel by the MINN algorithm, allowing it to learn a comprehensive and precise representation of the underlying biological mechanisms. (3) Results: Our method, on an experimentally validated test set, detects target sites with an AUPRC of 0.9373, Precision of 0.8725, and Recall of 0.8703 and outperforms several commonly used computational methods of microRNA target-site predictions. (4) Conclusions: Incorporating diverse biologically explainable features, such as duplex structure, substructures, their MFEs, and binding probabilities, enables our model to perform well on experimentally validated test data. …”
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Stopping Tuberculosis at the Gate: The Role of <i>M. tuberculosis</i> Adhesins in Infection and Intervention by Haoyan Yang, Yinuo Ma, Xinkui Lei, Siyu Chai, Sigen Zhang, Guimin Su, Songping Li, Lin Du

“…Recent progress in the computational prediction of adhesins, particularly neural network-based tools like SPAAN, is also discussed, highlighting its potential to accelerate adhesin discovery. …”
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Beyond factors that motivate the adoption of the ISO/IEC 29110 in Mexico: An exploratory study of the implementation pace of this standard and the benefits observed by Mirna Muñoz, Jezreel Mejía, Adriana Peña, Claude Y. Laporte, Gloria Piedad Gasca‐Hurtado

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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

“…This study presents a novel marker-less computer-assisted navigation system that integrates three-dimensional femoral modeling with real-time arthroscopic guidance. …”
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Comparison metrics and power trade-offs for BCI motor decoding circuit design by Joe Saad, Adrian Evans, Ilan Jaoui, Victor Roux-Sibillon, Emmanuel Hardy, Lorena Anghel

“…Brain signal decoders are increasingly being used in early clinical trials for rehabilitation and assistive applications such as motor control and speech decoding. As many Brain-Computer Interfaces (BCIs) need to be deployed in battery-powered or implantable devices, signal decoding must be performed using low-power circuits. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…This paper investigates the potential applications of mobile accelerometers in evaluating the symmetry of specific rehabilitation exercises using a dataset of 1280 tests on 16 individuals in the age range between 8 and 75 years. A comprehensive computational methodology is introduced, incorporating traditional digital signal processing, feature extraction in both time and transform domains, and advanced classification techniques. …”
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Design optimization methodology of submarine using multilevel numerical CFD models by Mohamad Barhm, Amroune Salah, Miri Rached, Benchekkour Abdellah, Galoyan Karlen

“…This study explores the hydrodynamic and aerodynamic performance of a submarine and an airfoil under various angles of attack (AoA) using advanced computational fluid dynamics (CFD) simulations. The incompressible Reynolds Averaged Navier-Stokes (RANS) equations were solved using ANSYS, leveraging its segregated flow solver and adjoint optimization capabilities to automate the creation and meshing of computational domains. …”
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Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose by Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie

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A Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Images by Petra Kosová Kalenská, Pavel Rajmic, Karolína Gebrtová, Miloslav Druckmüller

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Analysis of the Effect of Cut Sweep Ratio of Lily Impeller on the Distribution of Dissolved Oxygen by Mohammad Tauviqirrahman, Eflita Yohana, Jourdy Cakranegara, Jamari, Budi Setiyana

“…Aeration systems are employed to enhance the process of oxygen transfer and promote circulation. …”
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Linguodidactic potential of metaverse language environments for teaching Russian as a foreign language by Elkhan G. Azimov, Vladimir A. Zhiltsov, Varvara M. Filippova

“…Virtual language environments in metaverses possess several properties inherent to real ones, which enhances students’ motivation and deep engagement in the learning process. This prospectively justifies the expansion of these technologies in distance learning of Russian as a foreign language.…”
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FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detectionMendeley Data by Md. Hasan Imam Bijoy, Syeda Zarin Tasnim, Syed Ali Awsaf, Md. Zahid Hasan

“…It offers valuable resources for research and development in automated detection systems, improving food safety and processing efficiency, and addressing the health risks associated with formalin exposure.…”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

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EDRNet: Edge-Enhanced Dynamic Routing Adaptive for Depth Completion by Fuyun Sun, Baoquan Li, Qiaomei Zhang

“…The dynamic routing mechanism introduced in this block can dynamically select key regions for efficient feature extraction, and the amount of redundant computation is significantly reduced compared with the traditional Transformer. …”
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Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots by Chijioke Leonard Nkwocha, Ning Wang

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A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data by Anjana Wijayawardhana, David Gunawan, Thomas Suesse

“…A common practice is introducing measurement error into SAR models to separate the noise component from the spatial process. However, prior studies have not considered incorporating measurement error into SAR models with missing data. …”
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Bullying and cyberbulling in children and adolescents: signs, types, forms, prevention (literature review) by O. L. Moskalenko

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Proteome-wide identification of druggable targets and inhibitors for multidrug-resistant Pseudomonas aeruginosa using an integrative subtractive proteomics and virtual screening ap... by Divya Vemula, Vasundhra Bhandari

“…Through a rigorous, multi-stage process, we excluded human homologs, identified essential proteins, mapped functional pathways, determined subcellular localization, and assessed virulence and resistance factors. …”
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Technological Progress Toward Peanut Disease Management: A Review by Muhammad Asif, Aleena Rayamajhi, Md Sultan Mahmud

“…Recent innovations in computer vision, artificial intelligence (AI), and remote sensing have transformed disease identification and scouting, making the process more efficient and economical. …”
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From Camera Image to Active Target Tracking: Modelling, Encoding and Metrical Analysis for Unmanned Underwater Vehicles by Samuel Appleby, Giacomo Bergami, Gary Ushaw

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