Integrating computational approaches to uncover β-lactamase-associated resistance in diarrheagenic Escherichia coli from pediatric patients by Taru Singh, Chandra Shekhar, Saurabh Singh, Shukla Das

“…Structural modeling, phylogenetic analysis, and molecular docking were used to evaluate evolutionary patterns and drug interactions with ceftriaxone and amoxicillin. β-lactamase enzymes in DEC strains exhibited varying thermal stability and were frequently co-produced. …”
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Constraint-Induced Movement Therapy Promotes Contralesional Red Nucleus Plasticity and Increases Bilateral Motor Cortex-to-Red Nucleus Projections After a Large-Area Stroke by Peile Liu, Jian Hu, Beiyao Gao, Yan Hua, Ying Xing, Yulong Bai, Nan Liu

“…For decades, scientists have explored the patterns of neural network remodeling that occur after a stroke. …”
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Machine Learning Traffic Flow Prediction Models for Smart and Sustainable Traffic Management by Rusul Abduljabbar, Hussein Dia, Sohani Liyanage

“…This study contributes to this objective by developing and evaluating advanced machine learning models that leverage multisource data to predict traffic patterns more effectively, allowing for the deployment of proactive measures to prevent or reduce traffic congestion and idling times, leading to enhanced eco-friendly mobility. …”
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Transformer Versus LSTM: A Comparison of Deep Learning Models for Karst Spring Discharge Forecasting by Anna Pölz, Alfred Paul Blaschke, Jürgen Komma, Andreas H. Farnleitner, Julia Derx

“…Deep learning models can capture complex relationships due to their ability to learn non‐linear patterns. This study evaluates the performance of the Transformer in forecasting spring discharges for up to 4 days. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. …”
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Statistical modelling and forecasting of HIV and anti-retroviral therapy cases by time-series and machine learning models by Abdullah M. Almarashi

“…Various time series models including ARIMA (Auto-regressive integrated moving average), exponential smoothing (Brown, Holt, Winter), neural network auto-regressive model (NNAR), and ETS (Exponential Smoothing State space) models were applied to analyze and forecast the monthly patterns of HIV and ART cases. …”
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NoctuDroneNet: Real-Time Semantic Segmentation of Nighttime UAV Imagery in Complex Environments by Ruokun Qu, Jintao Tan, Yelu Liu, Chenglong Li, Hui Jiang

“…Nighttime semantic segmentation represents a challenging frontier in computer vision, made particularly difficult by severe low-light conditions, pronounced noise, and complex illumination patterns. These challenges intensify when dealing with Unmanned Aerial Vehicle (UAV) imagery, where varying camera angles and altitudes compound the difficulty. …”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…Recent research has explored machine learning-based approaches using smartphone accelerometers to classify intoxicated gait patterns. While neural network approaches have emerged, due to the significant challenges with collecting intoxicated gait data, gait datasets are often too small to utilize such approaches. …”
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Immune-associated molecular classification and prognosis signature of sepsis. by Zhiwei Li, Leyi Wang, Shuting Yang, Bin Luo, Yezi Liu, Mengsi Chen, Changmin Wang

“…An unsupervised cluster analysis was used to identify potential molecular subtypes of sepsis, and a weighted gene co-expression network analysis was performed to identify gene modules. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. …”
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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

“…The review includes common methods such as convolutional neural networks, recurrent neural networks and generative adversarial networks, focusing on feature extraction techniques such as sequence features, image visualization and data enhancement. …”
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Optimization and Simulation of Flat Area Sites Based on Probability Matching and Transfer Intensity Using Remote Sensing Precipitation by Chen Yu, Huaiyong Shao, Xingchuan Yang, Gang Liu, Qi Xin, Jiaming Gu

“…Abstract The accuracy and continuity of records from rain gauge networks, as critical sources of precipitation data, directly influence the reliability of subsequent meteorological, land surface, and hydrological studies. …”
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The rise of exosome-mediated mechanisms in MSC therapy by Weihua Liu, Sheng Chen, Yuan Wang, Wei Gong

“…Despite the growing body of research, a comprehensive bibliometric evaluation of MSCs in GVHD is still lacking. Objective To perform a bibliometric analysis of global research on MSC-based therapies for GVHD using Citespace and VOSViewer, with the aim of mapping publication trends, collaboration networks, and emerging research hotspots. …”
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Double-diffusive magnetoconvection in a tilted porous parallelogrammic domain with discrete heated-cooled segments: Leveraging machine learning and CFD approach by P. Ravindra, M. Sankar, Suresh Rasappan, Wardah Abdullah Al Majrafi, Pugalarasu Rajan, S. Sanal Kumar

“…In addition, an artificial neural network (ANN) model is developed that uses a softmax activation function to predict Nu‾ and Sh‾, and its performance is evaluated against a regression model, yielding robust results.…”
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Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

“…The utilization of finger vein authentication has generated significant attention as a biometric modality owing to its strong resilience, resistance against spoofing attacks, and consistent patterns. In this work, we proposed a novel cancelable finger vein authentication system using multidimensional scaling (MDS) based on deep learning. …”
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Analysing the most Important Variables Affecting Agricultural Water Security in Mazandaran Province by F. Razzaghi Borkhani, T. Azizi Khalkheili, A.A. Barati

“…Then, the experts were asked to evaluate the cross-effects of the identified variables through pairwise comparisons and in the form of the MICMAC questionnaire. …”
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Channel Characterization and Comparison in Industrial Scenario from Sub-6 GHz to Visible Light Bands for 6G by Yue Yin, Pan Tang, Jianhua Zhang, Zheng Hu, Tao Jiang, Liang Xia, Guangyi Liu

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Relating satellite NO2 tropospheric columns to near-surface concentrations: implications from ground-based MAX-DOAS NO2 vertical profile observations by Bowen Chang, Haoran Liu, Chengxin Zhang, Chengzhi Xing, Wei Tan, Cheng Liu

“…Additionally, anthropogenic emissions impact SNO2, while topographical features shape regional climate patterns. At the Chongqing site, the negative impacts of unfavorable meteorological conditions, high emissions, and basin topography lead to significant contrasts and delays in daily CNO2 and SNO2 variations. …”
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Tracing Student Learning Outcome at Historically Black Colleges and Universities via Deep Knowledge Tracing by Ming-Mu Kuo, Xiangfang Li, Pamela H. Obiomon, Lijun Qian, Xishuang Dong

“…Specifically, Dynamic Key-Value Memory Network (DKVMN) outperforms other models due to its advanced mechanisms for capturing student learning patterns. …”
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RotJoint-Based Action Analyzer: A Robust Pose Comparison Pipeline by Guo Gan, Guang Yang, Zhengrong Liu, Ruiyan Xia, Zhenqing Zhu, Yuke Qiu, Hong Zhou, Yangwei Ying

“…Human pose comparison involves measuring the similarities in body postures between individuals to understand movement patterns and interactions, yet existing methods are often insufficiently robust and flexible. …”
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