Plasmonic optical fiber biosensors for ultra-low detection of respiratory syncytial virus via point-of-care tests by Federica Passeggio, Luigi Zeni, Massimiliano Galdiero, Francesco Arcadio, Carla Zannella, Anna De Filippis, Chiara Marzano, Ines Tavoletta, Fabiana Napolitano, Rosalba Pitruzzella, Giuseppe Portella, Nunzio Cennamo

“…Hence, the results establish the POF-based RSV biosensor as a sensitive, cost-effective, ultra-fast, capable of being connected to the Internet, and a scalable alternative to traditional RSV detection methods, offering a promising tool for improving diagnostic capabilities in clinical and resource-limited settings.…”
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Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

“…BackgroundThe Bronchial Provocation Test (BPT) is the gold standard for diagnosing airway hyperresponsiveness (AHR) in suspected asthma patients but is time-consuming and resource-intensive. This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
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Pollination-driven modulation of amino acid biosynthesis in plum: A multi-omics approach by Lijun Deng, Binshu Yuan, Xiaojun Jin, Yingying Xu, Yuhuan Feng, Xuan Zhang, Hui Zhang, Bo Xiong, Xun Wang, Guochao Sun, Mingfei Zhang, Siya He, Ling Liao, Zhihui Wang

“…The findings underscore the potential to improve the nutritional value of plums through the strategic selection of pollination cultivars. In addition, this research provides a foundation for a deeper understanding of the regulatory mechanisms underlying amino acid biosynthesis in plum and supports the development of relevant functional foods.…”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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Vibrational Properties of Sundatang Soundboard by Ronald Yusri BATAHONG, Jedol DAYOU, Semyung WANG, Jongsuh LEE

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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) by Mohammad Ganje, Somayyeh Gharibi, Fatemeh Nejatpour, Maryam Deilamipour, Kimia Goshadehrou, Sahra Saberyan, Gholamreza Abdi

“…For each of the six process-solver conditions, optimal ANFIS models were determined by analyzing the number and type of input membership functions, the output membership function, and the selected optimization and defuzzification methods, based on the highest correlation between actual and predicted data, along with the lowest error rates. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

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RE-YOLO: An apple picking detection algorithm fusing receptive-field attention convolution and efficient multi-scale attention. by Jinxue Sui, Li Liu, Zuoxun Wang, Li Yang

“…The accuracy of current apple picking detection algorithms is still limited when the distribution is dense and occlusion exists, and there is a significant challenge in deploying current high accuracy detection models on edge devices with limited computational resources. …”
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Investigation of <i>Atraphaxis virgata</i>, an Unexplored Medicinal Plant Rich in Flavonoids, as a Functional Material by Soeun Shin, Seunghee Kim, Jeongho Lee, Hyerim Son, Jin-Hyub Paik, Nadezhda Gennadievna Gemejiyeva, Zhanat Zhumabekovna Karzhaubekova, Taek Lee, Hah Young Yoo

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Therapeutic Role of Green Tea on Human Body Function, Some Diseases and Weight loss: A Review by Sawsan Al-Harbi, Fouad Gatea

“…Therapeutic role of green tea on human body function, some diseases and weight loss: A review. …”
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The study on the function and cell source of interleukin‐6 in interstitial cystitis/bladder painful syndrome rat model by Zhenming Zheng, Jiapeng Zhang, Caixia Zhang, Wenshuang Li, Kaiqun Ma, Hao Huang, Kuiqing Li, Yousheng Yao

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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…Deep learning (DL) models show strong potential in detecting DoW attacks, where attackers disrupt services by exploiting system resources. …”
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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

“…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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Fracture maturity controls the complexity of earthquake rupture: evidence from source processes of six moderate earthquakes during swarm activities off the east coast of Izu Penins... by Yukako Tanaka, Takuji Yamada

“…We first selected waveforms of smaller earthquakes (Mw3.4–3.9) as empirical Green’s functions and carried out the waveform inversion with 200 time windows for two horizontal components of 10-s-long K-net waveforms. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Information required to populate the models included the prevalence of lung nodules, risk of lung cancer with different nodule sizes, sensitivity and specificity for nodule detection, nodule type and size distributions in different population, resource use, costs and utilities. …”
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Redox-active sp2-c connected metal covalent organic frameworks for selective detection and reductive separation of uranium by Jin-Lan Liu, Zhi-Hai Peng, Jia-Xin Qi, Cheng-Rong Zhang, Zhen-Wen Zhang, Li Zhang, Ru-Ping Liang, Jian-Ding Qiu

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BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

“…Water body detection in synthetic aperture radar (SAR) imagery plays a critical role in applications such as disaster response, water resource management, and environmental monitoring. …”
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