Implementation of automation tools for test analysis in the Radiotherapy Quality Assurance Programs by João Guilherme Rivera Santiago, Laura Furnari, Marcus Vinicius Saad de Paula Rodrigues, Victor Augusto Bertotti Ribeiro

“…The increasing complexity of techniques used in radiotherapy demands a quality assurance program that evolves to ensure efficient quality control of equipment and associated devices. …”
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Hybrid subnet-based node failure recovery formal procedure in wireless sensor and actor networks by Hamra Afzaal, Nazir Ahmad Zafar, Fahad Alhumaidan

“…In this article, an efficient, localized, hybrid failure detection and recovery algorithm is proposed which assumes planned deployment of nodes. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…Determining the optimal convolution kernel size enables the automatic and efficient identification of the morphological boundaries of latent objects, extracts the spatiotemporal common features of river microtopography, and reconstructs the microtopography background. …”
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Potable water boiling can induce havoc in the water quality management arena due to the presence of microplastics by Renjith VishnuRadhan, Shagnika Das, Camille Hennion, T.I. Eldho, Anil Lonappan

“…Around 30 % of the world’s population lacks access to safe water despite being a critical factor that modulates the complex dynamics of ecosystems and societies. Efficient technologies to purify water to potable form are either inaccessible or economically not viable for the majority. …”
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SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network by Qianwen Rui, Yanan You, Jingyi Cao, Kaiwen Zhu, Yuanyuan Qiao

“…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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NEUROINFLAMMATION IN CRITICAL CARE: MECHANISMS AND PROTECTIVE ROLE OF HYPOTHERMIA by Evgeniy V. Grigoriev, Dmitriy L. Shukevich, Georgiy P. Plotnikov, Maria V. Khutornaya, Anna V. Tsepokina, Artem S. Radivilko

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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…By reducing feature dimensionality without compromising accuracy, the proposed method enhances ICS security, offering a scalable and efficient solution for real-time attack detection.…”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…The essential oils were analysed on the software and hardware complex of the gas chromatograph "Crystal 5000.2" with flame ionisation detection. …”
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Gross Tonnage-Based Statistical Modeling and Calculation of Shipping Emissions for the Bosphorus Strait by Kaan Ünlügençoğlu

“…Maritime transportation is responsible for most global trade and is generally considered more environmentally efficient compared to other modes of transport, particularly for long-distance trade. …”
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Wide-Field High-Speed Scanning Acoustic/Photoacoustic Microscopy for Whole-Body Imaging of Small Animals by Joongho Ahn, Hyoseok Choi, Seongjun Lim, Jin Young Kim, Jeongwoo Park

“…Photoacoustic (PA) imaging combines optical contrast with ultrasound (US) detection, enabling high-resolution imaging of biological tissues with greater penetration depth than conventional optical techniques. …”
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68Ga-labeled fluorinated benzamide derivatives for positron emission tomography imaging of melanoma. by Chaewon Lee, Boreum Song, Eunsu Kim, Yejin Seo, Dagyeong Hong, Jiyu Kim, Wookyeong Jeong, Seong-Young Kwon, Dong-Yeon Kim, Ayoung Pyo

“…The advanced stages of melanoma have a very poor prognosis because of the high tendency for metastasis, and there is therefore, a strong desire to develop efficient technology for the early detection of melanoma. …”
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Development of a Chemiluminescence-Based Ribonuclease Protection Assay by Christopher Rosenau, Barbara Kaboord, M. Walid Qoronfleh

“…The ribonuclease protection assay (RPA) is a widely used method for the detection and quantification of specific mRNA transcripts in a complex mixture of total RNA or mRNA molecules. …”
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Water transfer printing for integrating substrate-free temperature sensors onto curvilinear surfaces by R. Selmi, J. C. Fustec, F. Le Bihan, M. Harnois

“…This approach enables the fabrication of flexible temperature sensors on complex surfaces, exhibiting electrical performance comparable to conventional sensors, with a temperature coefficient of resistivity (TCR) of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">3.0</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="50091dda1ceb2bc1a163192c01b209d9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jsss-14-133-2025-ie00002.svg" width="51pt" height="14pt" src="jsss-14-133-2025-ie00002.png"/></svg:svg></span></span> °C<span class="inline-formula">⁻¹</span>. …”
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Needle‐Plug/Piston‐Based Modular Mesoscopic Design Paradigm Coupled With Microfluidic Device for Point‐of‐Care Pooled Testing by Baobao Lin, Bao Li, Wu Zeng, Yulan Zhao, Huiping Li, Yin Gu, Peng Liu

“…Using this approach, an ultra‐sensitive nucleic acid detection system is developed with a limit of detection of ten copies of SARS‐CoV‐2 per mL. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…Traditional enrichment methods encounter obstacles such as low efficiency, high cost, and complexity. Acoustic focusing, optical fiber detection, and electrical manipulation have shown potential in microfluidics for particle manipulation and analysis. …”
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Correlated Photon Lidar Based on Time-Division Multiplexing by Yun Jiang, Bo Liu, Zixun Wang, Fengyun Huang, Taibei Liu, Lan Luo, Feifan He, Yongqi Yang, Bin Zhao

“…Single-photon lidar (SPL) exhibits high sensitivity, making it particularly suitable for detecting weak echoes over long distances. However, its susceptibility to background noise necessitates the implementation of advanced filtering techniques and complex algorithms, which can significantly increase system cost and complexity. …”
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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

“…Additive Manufacturing (AM) is a transformative technology enabling the production of complex geometries with reduced waste and lead times. …”
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Laser-cooled ^{137}BaF molecules for measuring nuclear-spin-dependent parity violation by Felix Kogel, Tatsam Garg, Marian Rockenhäuser, Tim Langen

“…Our results pave the way for efficient state preparation, detection, and cooling in precision measurements using this species and other similar species.…”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…DL enhances accuracy, efficiency, and adaptability, promoting the modernization of cotton production and precision agriculture. …”
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Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy by Yuanyuan Qin, Yuanyuan Qin, Jianming Chang, Li Li, Li Li, Mianhua Wu, Mianhua Wu

“…IntroductionAdvancements in artificial intelligence (AI) and large language models (LLMs) have the potential to revolutionize digestive endoscopy by enhancing diagnostic accuracy, improving procedural efficiency, and supporting clinical decision-making. …”
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