Interleukin-37 Suppresses the Function of Type 2 Follicular Helper T in Allergic Rhinitis by Xi Luo, Yanhui Wen, Xiangqian Qiu, Lifeng Zhou, Qingxiang Zeng, Wenlong Liu

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Fibro-adipogenic progenitor cells in skeletal muscle unloading: metabolic and functional impairments by Margarita Sorokina, Danila Bobkov, Natalia Khromova, Natalia Vilchinskaya, Boris Shenkman, Anna Kostareva, Renata Dmitrieva

“…Skeletal muscle unloading resulted in metabolic reprogramming of FAPs: decreased spare respiratory capacity, decreased OCR/ECAR ratio detected in both HS7 and HS14 samples point to reduced oxygen consumption, decreased potential for substrate oxidation and a shift to glycolytic metabolism. …”
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Evaluating the effects of coffee consumption on the structure and function of the heart from multiple perspectives by Xiong-Bin Ma, Yan-Lin Lv, Lin Qian, Jing-Fen Yang, Qian Song, Yong-Ming Liu

“…Notably, higher DBP exhibited inverse associations with ventricular systolic/diastolic functional parameters, whereas increased BMI demonstrated positive associations with these parameters, collectively mitigating age-related ventricular volume loss. …”
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EGRN-YOLO: An Enhanced Multi-View Remote Sensing Detection Algorithm for Onshore Wind Turbines Based on YOLOv7 by Renzheng Xue, Haiqiang Xu, Qianlong Wu

“…Finally, the NWD loss function is introduced to replace the CIoU loss function, thereby improving the accuracy of positive and negative sample allocation for small targets. …”
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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

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MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. by Huiying Zhang, Qinghua Zhang, Yifei Gong, Feifan Yao, Pan Xiao

“…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. …”
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Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection by Konduru Siva Naga Narasimharao, P. V. Lakshmi

“… In contemporary society, the Internet has evolved into an indispensable facet of daily life, serving myriad functions across various domains. Intrusion detection, as a cornerstone of information security, plays a pivotal role in fortifying networks against potential threats, emphasizing the necessity for robust and reliable methods capable of discerning and mitigating network vulnerabilities effectively. …”
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Detection of Immunochemical Reactions Using Piezoquartz Immunosensor. Regeneration of the Electrode Bio-layer (Review) by S. S. Gogina, E. A. Smirnova, Ya. M. Stanishevskii, A. M. Stoinova

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Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA by TAN Qunlin, ZHANG Dongfang, XIA Lang, HU Liang, ZHONG Sheng

“…In order to meet the application requirements of multichannel, high bandwidth and high throughput, and use LabVIEW to develop customized FPGA board to reduce cost and increase efficiency, this paper presents a design of ultrasonic flaw detection data processing system which use FPGA to build the system hardware architecture and use LabVIEW to build the underlying software architecture. …”
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Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion by Jinmiao Zhao, Zelin Shi, Chuang Yu, Yunpeng Liu

“…Finally, to promote network optimization, on the one hand, we explore multiple loss functions and select label smooth loss, which can reduce the model’s excessive dependence on training data. …”
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Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach by Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong

“…This paper presents an unsupervised change detection approach for detecting the positive and negative changes based on a multi-objective evolutionary algorithm. …”
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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

“…These findings enhance the understanding of IoT security by offering a scalable and resource-efficient solution for botnet detection. The functional investigation establishes a foundation for future research into adaptive security mechanisms that address emerging threats and highlights the practical potential of advanced deep learning techniques in safeguarding next-generation smart city ecosystems.…”
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From detection to elimination: iron-based nanomaterials driving tumor imaging and advanced therapies by Dong Xie, Linglin Sun, Manxiang Wu, Qiang Li

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Carbon dot-assisted synthesis of gold nanoparticles for the development of a detection platform for trichlorfon by Pramila Murugesan, J.A. Moses

“…Owing to their unique physicochemical features, gold nanoparticles (AuNPs) stand out as an excellent platform for analyte detection with appreciable accuracy. In this study, a low-cost precursor material was used to synthesize hydrophilic functional groups containing carbon dots (CD) and then used as a stabilizing and reducing agent for synthesizing AuNPs via a one-step process. …”
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Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments by Vishnukumar Ravula, Mangayarkarasi Ramaiah

“…The presented DLPC approach is capable of learning new forms of phishing attacks in real time and reduce false positives. The experimental results show that the proposed DAOA-DLPC model outperforms the other models with an accuracy of 98.85%, recall of 98.49%, and F1-score of 98.38% and can effectively detect safe and phishing URLs in dynamic environments. …”
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Security Paper Design with Frequency-Selective Structure for X-Band Electromagnetic Detection System by Sang-Hwa Lee, Min-Sik Kim, Jong-Kyu Kim, Jong-In Lim, Ic-Pyo Hong

“…A stable detection performance of the security paper can be ensured by improving the incidence angle stability for incident waves and reducing the reflection loss. …”
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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

“…To reduce the subjectivity in manually selecting features, we combine classified protection for cybersecurity-related standards and construct the requirement generation algorithm to construct a network security detection standard library for the substation host. …”
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Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings by Rosario G. Garroppo, Pietro Giuseppe Giardina, Giada Landi, Marco Ruta

“…Smart building applications require robust security measures to ensure system functionality, privacy, and security. To this end, this paper proposes a Federated Learning Intrusion Detection System (FL-IDS) composed of two convolutional neural network (CNN) models to detect network and IoT device attacks simultaneously. …”
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Improving Early Detection of Bud Rot in Oil Palm Through Digital Field Monitoring by Juan Manuel López-Vásquez, Diego Alejandro García Cárdenas, Carlos Bojacá-Aldana, Greicy Andrea Sarria, Anuar Morales-Rodríguez

“…The implementation of digital monitoring provides crucial technological support by considerably improving the effectiveness of early detection in BR curative management. Future advancements in AI-based detection are expected to further improve the efficiency and functionality of this approach.…”
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Leveraging large language models for automated detection of velopharyngeal dysfunction in patients with cleft palate by Myranda Uselton Shirk, Catherine Dang, Jaewoo Cho, Hanlin Chen, Lily Hofstetter, Jack Bijur, Claiborne Lucas, Andrew James, Ricardo-Torres Guzman, Andrea Hiller, Noah Alter, Amy Stone, Maria Powell, Matthew E. Pontell, Matthew E. Pontell

“…BackgroundHypernasality, a hallmark of velopharyngeal insufficiency (VPI), is a speech disorder with significant psychosocial and functional implications. Conventional diagnostic methods rely heavily on specialized expertise and equipment, posing challenges in resource-limited settings. …”
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