Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Innovations include dynamic clutter suppression and multi-path cancellation optimized for complex clinical environments. Experimental validation demonstrates high performance, achieving 98% detection recall and 93.87% classification accuracy under LOSO cross-validation. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

“…Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
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Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
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Advancing Urban Development: Applications of Hyperspectral Imaging in Smart City Innovations and Sustainable Solutions by Arvind Mukundan, Riya Karmakar, Jumana Jouhar, Muhamed Adil Edavana Valappil, Hsiang-Chen Wang

“…Smart cities are urban areas that use advanced technologies to make urban living better through efficient resource management, sustainable development, and improved quality of life. …”
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Biodegradation of polycyclic aromatic hydrocarbons: The role of ligninolytic enzymes and advances of biosensors for in-situ monitoring by Eshet Lakew Tesfaye, Fekadu Mazengiaw Bogale, Tadele Assefa Aragaw

“…This review also highlights recent biosensor developments that provide enhanced sensitivity and specificity for PAH detection. Although some LE-producing strains are efficient in completely biodegrading certain PAH types, further research is needed to explore the complete biodegradation of PAHs with higher molecular structures using genetically modified strains or their LEs. …”
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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…Abstract Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
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Understanding the creep behaviors and mechanisms of Mg-Gd-Zn alloys via machine learning by Shuxia Ouyang, Xiaobing Hu, Qingfeng Wu, Jeong Ah Lee, Jae Heung Lee, Chenjin Zhang, Chunhui Wang, Hyoung Seop Kim, Guangyu Yang, Wanqi Jie

“…This study introduces an efficient method to comprehend creep behaviors through machine learning, offering valuable insights for the future design and selection of Mg alloys.…”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

“…This study introduces a novel radiotracer, technetium-99m-labeled carvedilol ([99mTc]Tc-carvedilol), which advances non-invasive cardiac receptor evaluation by improving traceability and myocardial tissue selectivity. Aimed at strengthening diagnostic precision, it optimizes a selective radioligand for quantifying cardiac adrenergic receptor sites.Methods[99mTc]Tc-carvedilol was synthesized via direct radiolabeling with technetium-99m, key parameters were optimized to maximize radiolabeling efficiency and ensure a reliable and reproducible [99mTc]Tc-carvedilol complex. …”
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Dimensions éthiques de l’allocation du financement international de l’adaptation au changement climatique by Romain Weikmans

“…However, and as we discuss in this article, the assessment of countries’ vulnerabilities – i.e., the assessment of their adaptation needs – is equally complex. In our view, the focus on equity issues in the allocation of international adaptation finance should rather be understood as a reflection of ethical choices. …”
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High-temperature resistant resonant cavity microwave sensor for precision blade tip clearance monitoring in aeroengines by Haolin Sun

“…The sensor has a radiation efficiency of 97% near 24 GHz, a reflection coefficient as low as 0.01, good measurement resolution within the 0–6 mm clearance measurement range, and the impact of changes in the dielectric constant at high temperatures on its performance is controllable. …”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…From living by water and grass of early human beings to today’s “Four Determinations Based on Water”, the complex relationship between people and water is an important clue for the formation and development of human civilization, and the harmonious relationship between people and water in river basins is an important basis for achieving sustainable development. …”
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Innovation of new Florescent-epitope technique for immune assay methods by Zahra Farjami, Mohammad Mehdi Akbarin

“…By leveraging the unique physical properties of the FAM-BHQ1 complex, we achieve enhanced accuracy and efficiency in analyte quantification. …”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…We selected relevant articles with various experimental results addressing animal detection, localization, tracking, and behavioral monitoring, validating the high-performance accuracy and efficiency of CNNs. …”
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Advancing the Contemporary Multidisciplinary Heart Valve Team: Update on Priorities for Clinicians and Programs by Sandra B. Lauck, PhD, Connie Clark, MSN, Sophie Offen, MD, PhD, Erin Tang, MSN, Stephanie Sellers, PhD

“…To maintain its impact, the VHD MDT must evolve to reflect contemporary priorities. For patients with aortic stenosis, the concept of the MDT must expand to address the significant barriers to timely detection, diagnosis, and referral and leverage its expertise to increase program capacity to accelerate access to care. …”
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VALUE CHAINS IN RAW MATERIALS, HIGH-TECH AND AGRICULTURAL PRODUCTS. INTERNATIONAL, EUROPEAN AND ROMANIAN PERSPECTIVES by Sorin IONITESCU, Agatha POPESCU, Simona MOAGAR-POLADIAN, Nicoleta-Luminita GUDANESCU, Alina-Cerasela ALUCULESEI

“…Highlighting the importance of efficient value chain management, the exploration examines first the situation at the global level in the countries with a high economic development: USA, China, Germany, Japan and India, as a reflection on how global and regional policies impact agricultural production and distribution. …”
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Estimating the Spectral Response of Eight-Band MSFA One-Shot Cameras Using Deep Learning by Pierre Gouton, Kacoutchy Jean Ayikpa, Diarra Mamadou

“…These models learn the complex relationship between 8-band multispectral data from the camera and 31-band multispectral data from the multi-object database, enabling accurate and efficient conversion. …”
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