Insights of immune cell heterogeneity, tumor-initiated subtype transformation, drug resistance, treatment and detecting technologies in glioma microenvironment by Tongzheng Chen, Wenbin Ma, Xin Wang, Qile Ye, Xintong Hou, Yiwei Wang, Chuanlu Jiang, Xiangqi Meng, Ying Sun, Jinquan Cai

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Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things With Matrix- Valued Neural Coordinated Federated Intelligence by Sarah A. Alzakari, Arindam Sarkar, Mohammad Zubair Khan, Amel Ali Alhussan

“…The proposed architecture has several unique benefits like 1) it provides a thorough examination of the incorporation of blockchain technology with FL for healthcare 5.0; 2) it takes the lead in creating a robust healthcare monitoring system that utilizes blockchain technology and IDS to identify and prevent harmful actions; 3) the development of crucial blockchain elements by means of mutual neuronal synchronization of Artificial Neural Networks (ANNs) showcases pioneering progress in safeguarding medical data; and 4) the framework underwent a thorough empirical assessment and outperformed existing methods in accurately predicting intrusion detection and disease prediction, achieving an impressive efficiency rate of 97.75% and 98% respectively. …”
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The impact of ultrasound contrast-enhanced fusion virtual navigation technology-guided microwave ablation (MWA) and standard MWA on the local tumor progression of hepatocellular ca... by Ping Zhang, Qiong Zhou, Zhiyong Zeng

“…Conclusion Ultrasound contrast-enhanced fusion virtual navigation, as a novel ultrasound contrast-enhanced technique, enabled the visualization of liver lesions that are indistinct on 2D ultrasound imaging, significantly enhancing lesion detection and microwave ablation efficiency. It also reduced local progression and recurrence rates, demonstrating significant clinical utility. …”
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Low Cobalamin Levels—An Underestimated Cause of Dementia: A Case Report by Subburaj Devaraj, Sowmini Perumal, Mugundhan Krishnan, Lakshmanan Sankaranarayanan, Sakthi Velayudham, Malcolm Jeyaraj, R Viveka Saravanan, Tino Baby

“…Therefore, prevention, early detection, and management of this reversible state are of profound importance.…”
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Monitoring the production of FRP composites: A review of in-line sensing methods by S. Konstantopoulos, E. Fauster, R. Schledjewski

“…The aim of the review at hand is to record and discuss the latest progress in the field of in-line composites monitoring with a focus on Fiber Reinforced Polymericbased (FRP) composite structures. …”
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Clinical and histopathological features of lupus nephritis and the risk of long-term kidney outcomes in Indonesia by Ni Made Hustrini, Ni Made Hustrini, Endang Susalit, Monik Ediana Miranda, Meilania Saraswati, Y. K. Onno Teng, Merel van Diepen, Joris I. Rotmans

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Research on deposition effect of droplets based on plant protection unmanned aerial vehicle: A review by HE Yong, WU Jianjian, FANG Hui, ZHENG Qishuai, XIAO Shupei, CEN Haiyan

“…Due to the flexibility and convenience, unmanned aerial vehicle (UAV) spray has attracted wide attention in the field of plant protection, and new progress has been made in prevention and control of diseases and insect pests. …”
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Isfahan Artificial Intelligence Event 2023: Lesion Segmentation and Localization in Magnetic Resonance Images of Patients with Multiple Sclerosis by Fariba Davanian, Iman Adibi, Mahnoosh Tajmirriahi, Maryam Monemian, Zahra Zojaji, Ahmadreza Montazerolghaem, Mohammad Amin Asadinia, Seyed Mojtaba Mirghaderi, Seyed Amin Naji Esfahani, Mohammad Kazemi, Mohammad Reza Iravani, Kian Shahriari, Nesa Sharifi, Sadaf Moharreri, Farnaz Sedighin, Hossein Rabbani

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Wearable devices for monitoring sweat glucose: an integrated strategy for efficient electrochemical sensors by Ruiyu Luo, Yi Yang, Shayuanzi Huang, Zhi Huang

“…Then the structure of sweat glands, sweat production mechanism, collection methods and detection difficulties were reviewed, and the advantages and disadvantages of common detection methods were analyzed. …”
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QKI-induced circ_0001766 inhibits colorectal cancer progression and rapamycin resistance by miR-1203/PPP1R3C/mTOR/Myc axis by Yulai Zhou, Yan Gao, Yinghui Peng, Changjing Cai, Ying Han, Yihong Chen, Gongping Deng, Yanhong Ouyang, Hong Shen, Shan Zeng, Yangfeng Du, Zemin Xiao

“…Circular RNAs (circRNAs) are increasingly recognized for their roles in CRC initiation, progression, and drug resistance. However, no circRNA-based therapies have yet entered clinical development, underscoring the need for comprehensive detection and mechanistic studies of circRNAs in CRC. …”
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CBGS-YOLO: A Lightweight Network for Detecting Small Targets in Remote Sensing Images Based on a Double Attention Mechanism by Zhenyuan Wu, Di Wu, Ning Li, Wanru Chen, Jie Yuan, Xiangyue Yu, Yongqiang Guo

“…With the continuous progress of remote sensing technology, the demand for means of detecting small targets in remote sensing images is escalating. …”
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Research in High-resolution Neutron Imaging at China Advanced Research Reactor by WANG Tianyun, HE Linfeng, WU Meimei, RUAN Shihao, LI Zhengyao, CHEN Dongfeng

“…At present, the international advanced neutron imaging device has been able to complete the high-resolution neutron imaging test with spatial resolution at the micron level, and the domestic research in this field has also made some progress with the completion of the three major neutron sources, and is gradually approaching the international advanced level. …”
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Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study by Nicole Bou Rjeily, Muraleetharan Sanjayan, Pratim Guha Niyogi, Blake E Dewey, Alexandra Zambriczki Lee, Christy Hulett, Gabriella Dagher, Chen Hu, Rafal D Mazur, Elena M Kenney, Erin Brennan, Anna DuVal, Peter A Calabresi, Vadim Zipunnikov, Kathryn C Fitzgerald, Ellen M Mowry

“…Longitudinal follow-up is underway to assess the potential for accelerometry to detect or predict disability progression.…”
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Detection of Cumulative Bruising in Prunes Using Vis–NIR Spectroscopy and Machine Learning: A Nonlinear Spectral Response Approach by Lisi Lai, Hui Zhang, Jiahui Gu, Long Wen

“…Notably, the results revealed nonlinear reflectance variations in the near-infrared region associated with repeated low-energy impacts, highlighting the capacity of spectral response patterns to capture progressive physiological changes. This research not only advances nondestructive detection methods for prune grading but also provides a scalable modeling strategy for cumulative mechanical damage assessment in soft horticultural products.…”
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SPS-RCNN: Semantic-Guided Proposal Sampling for 3D Object Detection from LiDAR Point Clouds by Hengxin Xu, Lei Yang, Shengya Zhao, Shan Tao, Xinran Tian, Kun Liu

“…In the PRN, a cascade attention module (CAM) is employed to aggregate features from multiple subnets, progressively refining region proposals to improve detection accuracy for medium- and long-range objects. …”
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Clinical and diagnostic significance of isolated detection of IgA antibodies to deamidated gliadin peptides in IgA nephropathy patients by M. E. Mantsaeva, D. I. Korabelnikov, A. G. Borisov

“…The obtained results indicate the possibility of using anti-DGP IgA as a potential risk marker for IgAN progression. Further studies into the effect of food antigens on the immune response in IgAN opens up new prospects for the development of effective treatment methods.…”
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Modeling serum M‐protein response for early detection of biochemical relapse in myeloma patients treated with bortezomib, lenalidomide and dexamethasone by Yuki Otani, Yunqi Zhao, Guanyu Wang, Richard Labotka, Mark Rogge, Neeraj Gupta, Majid Vakilynejad, Dean Bottino, Yusuke Tanigawara

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Abstract 015: Pioneering NaF‐PET/CT Imaging for Early Detection of Atherosclerosis: Potential Implications for Neurointerventional Surgery by Eric M Teichner, Robert C Subtirelu, Arjun B Ashok, Yvonne Su, Victoria A Anderson, Milo Writer, Omar Al‐Daoud, Miraziz Ismoilov, Chitra Parikh, William Y Raynor, Sahithi Talasila, Poul F Høilund‐Carlsen, Abass Alavi, Mona‐Elisabeth Revheim

“…The ability to precisely detect atherosclerosis is crucial, as it directly influences patient management, including decisions regarding surgical interventions. …”
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Anomaly Detection Utilizing One-Class Classification—A Machine Learning Approach for the Analysis of Plant Fast Fluorescence Kinetics by Nam Trung Tran

“…Furthermore, the percentage of these “anomalies” showed a meaningful correlation with both the progression and severity of stress. The results highlight the still largely unexploited potential of Machine Learning in OJIP analysis.…”
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Early Detection of Alzheimer’s Disease: An Extensive Review of Advancements in Machine Learning Mechanisms Using an Ensemble and Deep Learning Technique by Renjith Prabhavathi Neelakandan, Ramesh Kandasamy, Balasubramani Subbiyan, Mariya Anto Bennet

“…Alzheimer’s disease (AD) is the most common form of dementia in senior individuals. It is a progressive neurological ailment that predominantly affects memory, cognition, and behavior. …”
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