Descriptive Report of Microorganisms Detected in Cultures of COVID-19 Patients Developing Secondary Infection After Tocilizumab Use by Dena Firouzabadi, Sahar DehghanKhalili, Saeed DehghanKhalili

“…Secondary infections following the use of tocilizumab were expected knowing its inhibitory effect on the cascade of inflammation by blocking IL6. Patterns of microorganism growth in positive culture reports after tocilizumab use have not been widely assessed in the literature. …”
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Research on the Real-Time Scoring of Chest Ring Target Based on Transfer Learning and Improved Lightweight Neural Network by Minghui Meng, Chuande Zhou

“…First, the Repvit-MobileNet block (re-parameterized depth wise separable mobile network module) is introduced into its backbone network to reduce model size and computational complexity while improving detection speed. …”
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Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset by Erman Özer, Murat İskefiyeli, Jahongir Azimjonov

“…Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets. …”
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Detection of paralytic shellfish poisoning (PSP) toxins using a colorimetric immunosensing tool for food safety control by Ambbar Aballay-González, Sandra Leonardo, Margarita Fernández-Tejedor, Maria Rambla-Alegre, Jorge Diogène, AhlamAl Kharusi, Maximiliano Figueroa, Allisson Astuya-Villalón, Mònica Campàs

“…The system shows low matrix effects with a loading capacity of 250 mg of shellfish flesh mL-1 and, therefore, an effective limit of detection (LOD) of 17.2 µg kg⁻¹. The detection of STX and gonyautoxin-2 & gonyautoxin-3 in shellfish samples is also demonstrated. …”
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DeSFAM: An Adaptive eBPF and AI-Driven Framework for Securing Cloud Containers in Real Time by Sehar Zehra, Hassan Jamil Syed, Fahad Samad, Ummay Faseeha

“…We present DeSFAM (Dynamic eBPF-driven Syscall Filtering and Anomaly Mitigation), a real-time security framework that enforces least-privilege syscall usage and detects behavioral anomalies. DeSFAM integrates: 1) hybrid syscall profiling through static analysis and dynamic eBPF tracing; 2) SyscallAD (System call Anomaly Detection), a low-latency anomaly detector combining Variational Autoencoder (VAE) and Isolation Forest (iForest); 3) contextual risk scoring based on MITRE ATT&CK mappings and CVE correlations; and 4) adaptive syscall enforcement using eBPF maps and LSM hooks. …”
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CSEANet: Cross-Stage Enhanced Aggregation Network for Detecting Surface Bolt Defects in Railway Steel Truss Bridges by Yichao Chen, Yifan Sun, Ziheng Qin, Zhipeng Wang, Yixuan Geng

“…To overcome these challenges, CSEANet is introduced—an improved YOLOv8-based framework tailored for bolt defect detection. Our approach introduces three innovations: (1) a sliding-window SAF preprocessing method that improves small target representation and reduces background noise, achieving a 0.404 <i>mAP</i> improvement compared with not using it; (2) a refined network architecture with BSBlock and MBConvBlock for efficient feature extraction with reduced redundancy; and (3) a novel BoltFusionFPN module to enhance multi-scale feature fusion. …”
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The staphylococcal collagen adhesin CNA35 effectively detects collagen and its fragments in blots after SDS-PAGE by Elena N. Pokidysheva, Jennifer Diaz Sales, Shinomi Yagi, Tomonori Ueno, Kanako Sasai, Alice Makarenko, Hans Peter Bächinger, Kazunori Mizuno, Sergei P. Boudko

“…Additionally, we investigated the impact of blocking solutions, incubation time, ligand concentration, and CNA35 concentration on sensitivity.We achieved superior detection of all tested collagens and collagen IV fragments, including the 7S domain, which is a highly crosslinked complex composed of four triple-helical strands. …”
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THE INFLUENCE OF THYROID DISORDERS ON CARDIOVASCULAR SYSTEM: CLINICAL CASE by G. A. Chervyakova, R. A. Sharipov

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ABI-Net: Attention-Based Inception U-Net for Brain Tumor Segmentation From Multimodal MRI Images by Evans Kipkoech Rutoh, Qin ZhiGuang, Joyce C. Bore-Norton, Noor Bahadar

“…This study introduces ABI-Net, an advanced U-Net variant integrating Attention-based Inception blocks for improved segmentation of brain tumor sub-regions in 3D multimodal MRI images. …”
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HCT-Det: A High-Accuracy End-to-End Model for Steel Defect Detection Based on Hierarchical CNN–Transformer Features by Xiyin Chen, Xiaohu Zhang, Yonghua Shi, Junjie Pang

“…Surface defect detection is essential for ensuring the quality and safety of steel products. …”
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Radiofrequency Performance Analysis of Metal-Insulator-Graphene Diodes by Leslie Paulina Cruz-Rodríguez, Mari Carmen Pardo, Anibal Pacheco-Sanchez, Eloy Ramírez-García, Francisco G. Ruiz, Francisco Pasadas

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Impact of a Novel Pretreatment on Bond Strength of Universal Adhesive to Conventional and CAD/CAM Resin Composites: In Vitro Study by Ali A. Elkaffas, Abdullah Alshehri, Feras Alhalabi, Rania Bayoumi, Abdullah Ali Alqahtani, Abdulellah Almudahi, Abdulaziz Fahd Alsubaie, Abdulaziz Fahd Alharbi

“…Also, significant differences were detected between no dentin pretreatment (23.89 ± 3.89 MPa) and CuSO₄ + K₂HPO₄ pretreatment (31.22 ± 4.71 MPa) using a self-etching adhesive strategy for CAD/CAM resin blocks (<i>p</i> < 0.001). …”
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Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

“…Background: Left bundle branch block (LBBB) is a common electrocardiogram (ECG) abnormality associated with left ventricular systolic dysfunction (LVSD). …”
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Incidental Arrhythmias During Atrial Fibrillation Screening With Repeat 7‐Day Holter ECGs in a Hospital‐Based Patient Population by Eleni Goulouti, Anna Lam, Nikolas Nozica, Elena Elchinova, Chrisoula Dernektsi, Felix Neugebauer, Mattia Branca, Helge Servatius, Fabian Noti, Andreas Haeberlin, Gregor Thalmann, Nikola Asenov Kozhuharov, Antonio Madaffari, Hildegard Tanner, Tobias Reichlin, Laurent Roten

“…The aim of this study was to describe incidental arrhythmias detected during screening for AF in the STAR‐FIB (Predicting SilenT AtRial FIBrillation in Patients at High Thrombembolic Risk) cohort study. …”
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RFAG-YOLO: A Receptive Field Attention-Guided YOLO Network for Small-Object Detection in UAV Images by Chengmeng Wei, Wenhong Wang

“…The YOLO series of object detection methods have achieved significant success in a wide range of computer vision tasks due to their efficiency and accuracy. …”
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A Multiscale Gradient Fusion Method for Color Image Edge Detection Using CBM3D Filtering by Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren

“…In this paper, we present a novel color edge detection method that integrates collaborative filtering with multiscale gradient fusion. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…The combination of these architectures enhances both the efficiency and classification performance of the model, enabling more accurate detection of retinal disorders from OCT images. Additionally, SE blocks increase the representational ability of the network by adaptively recalibrating per-channel feature responses.…”
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Research note: Detection of IGF2BP2 gene polymorphism associated with growth and reproduction traits of pigeon by Yuling Wu, Shudai Lin, Lihong Gu, Lizhi Lu, Zengguang Liao, Qiaoqiao Peng, Li Zhang

“…Furthermore, these 15 SNPs were found to form two haplotype combinations. The haplotype block 1 showed a significant link to body weight and chest depth, and the haplotype block 2 was strikingly correlated with body weight, shank length, shank circumference, keel length, body length and egg number. …”
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A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model by Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis

“…A fall-detection system was implemented utilizing a 2.45 GHz continuous wave radar along with power-efficient and fully-analog integrated classifier architectures. …”
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Weld-CNN: Advancing non-destructive testing with a hybrid deep learning model for weld defect detection by Ngo Thi Hoa, Tang Ha Minh Quan, Quoc Bao Diep

“…We propose Weld-CNN, a hybrid convolutional neural network that combines sequential convolutional layers with parallel blocks to effectively extract both low-level and high-level features from X-ray images. …”
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