Development of RT h-CLAT, a Rapid Assessment Method for Skin Sensitizers Using THP-1 Cells as a Biosensor by Hiroki Koyama, Ayami Maeda, Peiqi Zhai, Keiichiro Koiwai, Kouichi Kurose

“…However, existing assays remain complex and costly. To address this, we recently developed a more efficient, cost-effective, and accurate method for evaluating skin sensitizers by using immune cell-derived THP-1 cells as a biosensor, coupled with an RT-PCR-based assay. …”
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Noncovalently Immobilized Glucose Oxidase/Horseradish Peroxidase Cascade on Polyamide Supports for Eco-Friendly Polyaniline Synthesis by Nadya V. Dencheva, Joana F. Braz, Sofia A. Guimarães, Zlatan Z. Denchev

“…Among all systems, the GOx/HRP@PA4-Fe complex exhibited the highest activity, being approximately 1.5 times greater than the native enzyme dyad, followed by the PA6-supported system with slightly inferior performance. …”
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BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

“…Three parallel CNN layers extract complex low-level features from embeddings after the embedding layer. …”
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Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control. by Rafael E Arango Isaza, Caucasella Diaz-Trujillo, Braham Dhillon, Andrea Aerts, Jean Carlier, Charles F Crane, Tristan V de Jong, Ineke de Vries, Robert Dietrich, Andrew D Farmer, Claudia Fortes Fereira, Suzana Garcia, Mauricio Guzman, Richard C Hamelin, Erika A Lindquist, Rahim Mehrabi, Olman Quiros, Jeremy Schmutz, Harris Shapiro, Elizabeth Reynolds, Gabriel Scalliet, Manoel Souza, Ioannis Stergiopoulos, Theo A J Van der Lee, Pierre J G M De Wit, Marie-Françoise Zapater, Lute-Harm Zwiers, Igor V Grigoriev, Stephen B Goodwin, Gert H J Kema

“…Genetic differentiation was also detected using neutral markers, suggesting strong selection with limited gene flow at the studied geographic scale. …”
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Research Progress and Applications of Artificial Intelligence in Agricultural Equipment by Yong Zhu, Shida Zhang, Shengnan Tang, Qiang Gao

“…The key innovations are highlighted in areas such as object detection and recognition (e.g., a K-nearest neighbor (KNN) achieved 98% accuracy in distinguishing vibration signals across operation stages); autonomous navigation and path planning (e.g., a deep reinforcement learning (DRL)-optimized task planner for multi-arm harvesting robots reduced execution time by 10.7%); state perception (e.g., a multilayer perceptron (MLP) yielded 96.9% accuracy in plug seedling health classification); and precision control (e.g., an intelligent multi-module coordinated control system achieved a transplanting efficiency of 5000 plants/h). …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…Traditional enrichment methods encounter obstacles such as low efficiency, high cost, and complexity. Acoustic focusing, optical fiber detection, and electrical manipulation have shown potential in microfluidics for particle manipulation and analysis. …”
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A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs by Yifan Zhao, Xiaofan Li, Lei Zuo, Zhongtai Hu, Liangbin Dou, Huagui Yu, Tiantai Li, Jun Lu

“…Analyzing and obtaining these ten controlling factors provides engineers with a new insight into the reservoir selection for fracturing stimulation and fracturing parameter optimization to improve fracturing efficiency and productivity.…”
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A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
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TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…Coronary artery disease (CAD) continues to be a leading cause of global mortality, necessitating accurate and efficient diagnostic tools for early detection and treatment planning. …”
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Chemical analysis using miniaturized and Portable 3D printed systems: Where are we now? by Miryam Perrucci, Imran Ali, Fotouh R. Mansour, Halil I. Ulusoy, Songül Ulusoy, Abuzar Kabir, Ornella Abollino, Agnese Giacomino, Paolo Inaudi, Marcello Locatelli, Erika Maria Ricci

“…Interest in miniaturized systems is further fueled by the theoretical principle that reducing flow rates enhances the surface-to-volume ratio, thereby improving detection sensitivity.Building on this theoretical foundation—particularly the goals of portability, efficient sampling, and on site analysis—innovative approaches such as microfluidics and 3D printing have been employed to develop compact fluidic systems. …”
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Ion recognition enables fast Mg–Cl bond dissociation kinetics and better Mg plating/stripping reversibility by Jiacheng Yang, Jinlei Zhang, Kun Zhang, Jing Liu, Zhenfang Zhou, Zhenjiang Li, Guicun Li, Guanglei Cui, Zhonghua Zhang

“…The exposed electron-rich N/O sites and electron-deficient Co sites can regulate the adsorbing structure configuration of [Mg-Cl]+ complex ions by selectively bonding with the Mg2+ and Cl– through chemical coordination linkage, respectively. …”
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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…However, underwater fish recognition faces challenges in complex aquatic environments, which hinder accurate detection and behavioral analysis. …”
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SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT by Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli

“…The shared-kmencoder architecture improves fault detection accuracy and ensures parameter efficiency/robustness, making it suitable for deployment in memory-constrained industrial environments.…”
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A Computational Framework for Automated Puncture Trajectory Planning in Hemorrhagic Stroke Surgery by Ziyue Ma, Feng Yan, Yongzhi Shan, Yaming Wang, Hong Wang

“…Skull quadrant theory and safety corridor modeling were used to avoid critical structures. Five complex clinical cases were used to validate the framework's performance. …”
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Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

“…Hence, it confirms the model’s robustness in capturing complex motor behavior. The proposed approach offers a reliable predictive tool suitable for integration into real-time control systems, enabling enhanced motor efficiency, early fault detection, and torque ripple mitigation.…”
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Onco-mNGS facilitates rapid and precise identification of the etiology of fever of unknown origin: a single-centre prospective study in North China by Bingbing Liu, Tengfei Yu, Ruotong Ren, Na Wu, Nanshu Xing, Jingya Wang, Wenjie Wu, Xuefang Cao, Jingping Zhang

“…Results Infection-related pathogenic detection efficiency rose from 25% (control group) to 48.48% (experimental group). …”
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Large-scale phylogenomic insights into the evolution of the Hymenochaetales by Heng Zhao, Fang Wu, Sundy Maurice, Igor N. Pavlov, Konstantin V. Krutovsky, Hong-Gao Liu, Yuan Yuan, Yu-Cheng Dai

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Fine‐Tuning 2D Heterogeneous Channels for Charge‐Lock Enhanced Lithium Separation from Brine by Yaxin Hao, Xin Liu, Yaoling Zhang, Xin Zhang, Zhan Li, Ximeng Chen

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A novel mRNA-based multi-epitope vaccine for rabies virus computationally designed via reverse vaccinology and immunoinformatics by Wafa Tombari, Oussema Khamessi, Houcemeddine Othman, Ouafa Kallala, Rihab Mahjoub, Kais Ghedira, Abdelhalim Trabelsi

“…The cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and linear B-cell epitopes (LBLs) were mapped and prioritized from four top-ranking vaccine targets (nucleoprotein, phosphoprotein, matrix, and glycoprotein) that were highly antigenic, nonallergenic, nontoxic, and nonhuman homologs. The selected epitopes exhibited strong binding affinity to high-frequency HLA alleles, as evidenced by highly negative ΔG values and low dissociation constants, predicting efficient T-cell recognition and broad population coverage (96.01% globally). …”
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Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer by Jin Su Kim, Chan Hee Park, Eunyoung Kim, Hee Seung Lee, Jinyoung Lee, Jeehoon Kim, Eun Hee Kam, Sanghee Nam, Moon Jae Chung, Jeong Youp Park, Seung Woo Park, Sangwoo Kim, Galam Leem, Seungmin Bang

“…Notably, the IC50 values for the 3D organoids were generally higher, reflecting the structural complexity and drug penetration barriers observed in vivo. …”
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