IMMUNOMODULATORY ACTION OF MYELOPIDUM UNDER ITS INCLUSION IN COMPLEX THERAPY OF PATIENTS WITH PENETRATING OCULAR INJURIES by T. V. Gavrilova, V. V. Chuprina, E. V. Davydova, Ju. I. Shilov, M. V. Chereshneva, V. A. Chereshnev

“…Examination of immunomodulatory actions and clinical efficiency of myelopidum when included into complex therapy that was carried out in 24 male patients with severe (stage 3) penetrating eye injury in the course of trauma treatment. …”
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AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety by Sayyed Mudassar Shah, Gan Zengkang, Zhaoyun Sun, Tariq Hussain, Khalid Zaman, Abdullah Alwabli, Amar Y. Jaffar, Farman Ali

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Specialized Large Language Model Outperforms Neurologists at Complex Diagnosis in Blinded Case-Based Evaluation by Sami Barrit, Nathan Torcida, Aurelien Mazeraud, Sebastien Boulogne, Jeanne Benoit, Timothée Carette, Thibault Carron, Bertil Delsaut, Eva Diab, Hugo Kermorvant, Adil Maarouf, Sofia Maldonado Slootjes, Sylvain Redon, Alexis Robin, Sofiene Hadidane, Vincent Harlay, Vito Tota, Tanguy Madec, Alexandre Niset, Mejdeddine Al Barajraji, Joseph R. Madsen, Salim El Hadwe, Nicolas Massager, Stanislas Lagarde, Romain Carron

“…This indicates that appropriately harnessed LLMs with curated knowledge bases can achieve domain-specific relevance in complex clinical disciplines, suggesting potential for AI as a time-efficient asset in clinical practice.…”
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Effect of complex microbial preparation of free-living and symbiotic nitrogen-fixing bacteria for agricultural crops by V. Goginyan, S. Harutyunyan, T. Stepanyan, G. Khachatryan, V. Bagiyan, R. Hovhannisyan, B. Harutyunyan, M. Kinosyan, N. Ghazanchyan, T. Davidyan, A. Verdyan, K. Chitchyan

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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications. …”
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A Detection Line Counting Method Based on Multi-Target Detection and Tracking for Precision Rearing and High-Quality Breeding of Young Silkworm (<i>Bombyx mori</i>) by Zhenghao Li, Hao Chang, Mingrui Shang, Zhanhua Song, Fuyang Tian, Fade Li, Guizheng Zhang, Tingju Sun, Yinfa Yan, Mochen Liu

“…The present study achieves precise counting of young silkworms in complex environments through an improved detection-tracking method combined with a detection line approach.…”
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TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues by Yang Yu, Shuang Wang, Jinpu Li, Meichen Yu, Kyle McCrocklin, Jing-Qiong Kang, Anjun Ma, Qin Ma, Dong Xu, Juexin Wang

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Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data by Hanan Alolaiyan, Maryam Liaqat, Abdul Razaq, Umer Shuaib, Abdul Wakil Baidar, Qin Xin

“…Dynamic aggregation operators, known for their versatility and accuracy, play an important role in decision-making processes by successfully incorporating changes in data over time. The complex bipolar fuzzy set (CBFS) theory is advantageous in efficiently capturing vagueness because it can incorporate extensive problem descriptions that exhibit periodicity and bipolar ambiguity. …”
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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…This structure is designed to overcome the challenges of capturing complex high-level and subtle low-level features, and it uses Efficient Local Attention to focus more efficiently on regions of interest, thereby enhancing the model’s ability to detect complex targets while improving accuracy and inference speed. …”
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Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence by Abraham Keffale Mengistu, Bayou Tilahun Assaye, Addisu Baye Flatie, Zewdie Mossie

“…SegNet, UNet, FCN, MobileNetV2, and EfficientNet-B0 were applied to segment and measure fetal head structures using ultrasound images. …”
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PhishingAgent: an agentic workflow method for advanced phishing email detection by JIN Jiandong, HUANG Zheng, HU Zhanyu, ZOU Yuanxin, QIN Huidong, LAI Qingnan, YANG Jia, ZHOU Changling

“…PhishingAgent integrated multi-source knowledge bases and security tools to fully leverage the reasoning capabilities of large language model (LLM), enhancing the precision and depth of identifying complex phishing email attacks. The agentic workflow was built on a dual-system reasoning framework, a rapid detection system facilitates efficient preliminary threat identification, followed by a deep reasoning system that conducted detailed semantic analysis and contextual inference, significantly improving the interpretability of results. …”
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Obstacle detection and avoidance system based on layered costmaps for robot tractors by Ricardo Ospina, Kota Itakura

“…This paper presents a novel obstacle detection and avoidance system based on layered costmaps, designed to enhance the safety and efficiency of robot tractors navigating farm roads. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Combine harvesters, as essential equipment in agricultural engineering, frequently experience structural faults due to their complex structure and harsh working conditions, which severely affect their reliability and operational efficiency, leading to significant downtime and reduced agricultural productivity during critical harvesting periods. …”
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Curb Detection and Mapping via Robust Iterative Gaussian Process Regression by Di Wang, Si Chen, Zhenni Ma, Jiajia Shi, Fuchun Zhang

“…Curb detection and mapping are of great importance to ensure the safety and efficiency of intelligent vehicles. …”
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Artificial intelligence-driven predictive framework for early detection of still birth by Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, Lucia Cascone, Nisreen Innab, Imran Ashraf

“…Predictive modeling is becoming increasingly popular in the context of early disease detection. The use of machine learning approaches for predictive modeling can help early detection of diseases thereby enabling medical experts to appropriate medical treatments. …”
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Improved FastICA algorithm for data optimization processing in intrusion detection by Ye DU, dan ZHANGYa, hong LIMei, wei ZHANGDa

“…The algorithm was introduced concretely, meanwhile the time complexity was analyzed in detail. The experiment shows that the method has the advantages of less times of iteration and fast speed of convergence, which can effectively decrease the losses of data and increase the efficiency of data optimization in in ion detection.…”
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Authenticity in bakery products: Detection of pistachio fraud using NGS metabarcoding by Sina Rammouz, Anne Reichstein, Jochen Riehle, Ansgar Ferner, Markus Fischer, Christian Schäfers

“…In this study we introduce a Next-generation sequencing (NGS)-based DNA metabarcoding approach as a sensitive, reliable, and semi-quantitative method that enables a successfully detection of such adulterations, even in complex and highly processed food matrices. …”
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Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar by Chi Ma, Samsil Arefin Mozumder, Md Mahbub Hossen, Manman Shao, Yuqiang Jiang

“…Deformations and fractures in the shaft wall can cause significant risks to mine operations, which require regular safety inspection to prevent hazards. Existing shaft detection systems cannot provide any prior notifications before damage occurs, with complex systems and low intelligence. …”
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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing. …”
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Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…Performance evaluation is based on accuracy, F1 score, and the Jaccard coefficient, ensuring a comprehensive assessment. Experimental results demonstrate that RoBERTa achieves 98.5% accuracy with metadata, while DistilBERT offers a 1.74x speedup, highlighting the trade-off between accuracy and computational efficiency for real-world sarcasm detection applications.…”
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