Chemical exchange saturation transfer MRI for neurodegenerative diseases: An update on clinical and preclinical studies by Ahelijiang Saiyisan, Shihao Zeng, Huabin Zhang, Ziyan Wang, Jiawen Wang, Pei Cai, Jianpan Huang

“…In recent years, the emerging exploration of chemical exchange saturation transfer magnetic resonance imaging for detecting pathological changes in neurodegenerative diseases has opened up new possibilities for early detection and repetitive scans without ionizing radiation. …”
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Fibre-based organic electrochemical transistors: principle, evaluation, and application by Yingying Huang, Zhijun Hu, Shouwen Zhu, Bo Fang

“…Covering from P-type polymer to N-type polymer, various kinds of conducting polymers have been processed into channel materials of F-OECTs through mainstream wet spinning methods. …”
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PLA2G7 promotes immune evasion of bladder cancer through the JAK-STAT-PDL1 axis by Ding Peng, Wuping Yang, Tianyu Tang, Anbang He, Xin Xu, Taile Jing, Dan Xia

“…Abstract Targeting immune checkpoints such as Programmed death ligand-1 (PD-L1) and Programmed cell death 1 (PD-1) has been approved for treating bladder cancer and shows promising clinical benefits. …”
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A Drone-Based Approach for Radiometric Mapping of Gamma Radiation by Felipe Mamed, Alessandra Vaz, Ary Machado, Joana Batista, Jonathan Oliveira, Paulo Silveira, Paulo Iack, Paulo Barreto, William Henrique, Wallace Vallory

“…After processing the data collected by the drone, a dose profile was reconstructed, allowing for a satisfactory estimation of the location where the Cesium-137 source was positioned based on the radiation peak. …”
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A proposed non-parametric triple generally weighted moving average sign chart by Dongmei Cui, Michael B. C. Khoo, Huay Woon You, Sajal Saha, Zhi Lin Chong

“…From the comparison, the TGWMA sign chart shows superior sensitivity in identifying small shifts in the process proportion for both ZS and SS cases. Lastly, we demonstrate the application of the TGWMA sign chart through a practical example and compare it to the DGWMA sign chart in detecting process shifts, further showing the effectiveness of using the TGWMA sign chart.…”
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Quantitative determination of free D-Asp, L-Asp and N-methyl-D-aspartate in mouse brain tissues by chiral separation and Multiple Reaction Monitoring tandem mass spectrometry. by Carolina Fontanarosa, Francesca Pane, Nunzio Sepe, Gabriella Pinto, Marco Trifuoggi, Marta Squillace, Francesco Errico, Alessandro Usiello, Piero Pucci, Angela Amoresano

“…The validated method was then successfully applied to the simultaneous detection of d-Asp, l-Asp and NMDA in mouse brain tissues. …”
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INTEGRATIVE APPROACH TO THE ANALYSIS, MODELING, AND ENSURING CYBER SECURITY OF CRITICAL INFORMATION INFRASTRUCTURE UNDER MODERN THREATS by Valentyna Yashchuk, Yulia Demyanchuk, Victoria Savitska

“…This includes both fundamental theoretical developments and practical aspects of implementing modern cyber security approaches, as well as experimental modelling of fraud detection processes in the CII of the financial sector. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…The SVM classifies the CSI feature patterns obtained from user-specific keystroke dynamics, which are processed by Hampel filtering, Butterworth low-pass filtering, wavelet transform threshold denoising, a dual-threshold moving window detection algorithm, a subcarrier selection method, and PCA, to achieve optimal performance. …”
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E-Commerce Image Enhancement Method Based on Instance Segmentation and Background Replacement by Qiang Gao, Huiping Hu, Wei Liu

“…The method begins with instance segmentation, effectively separating foreground products from the background to provide clear targets for further processing. Dominant color detection ensures visual consistency by extracting the primary colors of the product images. …”
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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

“…<b>Background</b>: Recent advancements in machine learning (ML) have significantly influenced the analysis of brain signals, particularly electroencephalography (EEG), enhancing the detection of complex neural patterns. ML enables large-scale data processing, offering novel opportunities for diagnosing and treating mental disorders. …”
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Transforming Alzheimer’s Disease Diagnosis: Implementing Vision Transformer (ViT) for MRI Images Classification by Dian Kurniasari, Muhammad Dwi Pratama, Akmal Junaidi, Ahmad Faisol

“…Diagnosing AD in clinical settings remains challenging due to subtle early symptoms, diverse presentations, lengthy diagnostic processes, and inconsistent criteria that heavily rely on medical expertise. …”
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Cutting-edge assessment techniques for B cell immune memory: an overview by Martina Bozhkova, Petya Gardzheva, Vanya Rangelova, Hristo Taskov, Marianna Murdjeva

“…In parallel with the detection of antibodies, the detection of MBCs and LLPC is important to assess the strength and duration of the humoral immune response. …”
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Quantum-Secure Coherent Optical Networking for Advanced Infrastructures in Industry 4.0 by Ofir Joseph, Itzhak Aviv

“…These high-capacity infrastructures, coupled with advanced digital signal processing and phase-sensitive detection, enable real-time data exchange for automated manufacturing, robotics, and interconnected factory systems. …”
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Circular RNAs in Cervical Cancer: What are the Prospects? by S. A. Begliarzade, R. I. Tamrazov

“…Interestingly, circRNAs have context-dependent functions, acting both as promoters and inhibitors of oncogenic processes, depending on the complex cellular environment in which they operate. …”
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Potential mechanisms of non-coding RNA regulation in Alzheimer’s disease by Yue Sun, Xinping Pang, Xudong Huang, Dinglu Liu, Jingyue Huang, Pengtao Zheng, Yanyu Wei, Chaoyang Pang

“…These non-coding RNAs regulate several biological processes critical to the advancement of the disease, offering promising potential as therapeutic targets and diagnostic biomarkers. …”
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Helicobacter Pylori Infection among Patients Attending the Gastroenterology Department in Tertiary Care Hospital, Kathmandu, Nepal by Tulasi Bhandari, Ujjwal Laghu, Prem Ratna, Rajani Shrestha

“…A total of 100 stool samples and 200 gastric biopsy specimens were collected (2 samples from each patient) from June to November 2019. Stool samples were processed for the detection of an H. pylori stool antigen (HpSA) by a kit method. …”
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TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer’s disease and mild cognitive impairment by Sichen Bao, Fengbo Zheng, Lifen Jiang, Qiuyuan Wang, Yong Lyu

“…TA-SSM Net achieved an accuracy of 90.24% for MCI detection and 95.83% for AD detection. The results demonstrate that our approach not only improves classification accuracy but also enhances processing efficiency and maintains spatial correlations, offering a promising solution for the diagnosis of Alzheimer’s disease.…”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It underscores the need for improved interpretability, real-time processing, and the integration of multi-modal data. …”
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Advances in Neural Network-Based Image, Thermal, Infrared, and X-Ray Technologies by Jacek Wilk-Jakubowski, Łukasz Pawlik, Leszek Ciopiński, Grzegorz Wilk-Jakubowski

“…In image processing, significant progress has been made in classification, segmentation, digital image storage, and information classification using neural networks. …”
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Deep learning-based surface deformation tracking with interferometric fringes: A case study in Taiwan by Shih-Teng Chang, Shih-Yuan Lin, Yu-Ching Lin

“…To address these challenges, this study proposes a deep learning-based method that processes wrapped Differential InSAR (D-InSAR) interferograms to directly detect surface deformation patterns. …”
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