Numerical Analysis of the Characteristic Chemical Timescale of a C₂H₄/O₂ Non-Premixed Rotating Detonation Engine by Mohammed Niyasdeen Nejaamtheen, Bu-Kyeng Sung, Jeong-Yeol Choi

“…Overall, the induction timescale is generally 2–3 times longer than its respective chemical reaction timescale, while the equilibrium timescale spans a broad range, reflecting the complex, rapid dynamics inherent in these chemical processes. …”
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Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

“…Heating load systems present a complex landscape where energy optimization challenges require in-depth investigation and innovative problem-solving. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…To address limitations in existing approaches, we introduce a novel U-shaped segmentation architecture based on our Residual Space State Block. This efficient model, termed ‘SSR-UNet,’ leverages bidirectional scanning to capture both global and local features in image data, achieving strong performance with low computational complexity. …”
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A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs by Raheem Bux Soomro, Waleed Mugahed Al-Rahmi, Nisar Ahmed Dahri, Latifah Almuqren, Abeer S. Al-mogren, Ayad Aldaijy

“…Additionally, the adoption of AI technologies substantially enhances the economic, social, and environmental performance of SMEs, reflecting improvements in operational efficiency, cost reduction, and social value creation. …”
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Integrating Virtual Reality, Augmented Reality, Mixed Reality, Extended Reality, and Simulation-Based Systems into Fire and Rescue Service Training: Current Practices and Future Di... by Dusan Hancko, Andrea Majlingova, Danica Kačíková

“…The growing complexity and risk profile of fire and emergency incidents necessitate advanced training methodologies that go beyond traditional approaches. …”
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A Comprehensive Evaluation of Land Reclamation Effectiveness in Mining Areas: An Integrated Assessment of Soil, Vegetation, and Ecological Conditions by Yanjie Tang, Yanling Zhao, Zhibin Li, Meichen He, Yueming Sun, Zhen Hong, He Ren

“…Land reclamation is crucial for restoring ecosystems in mining areas, improving land use efficiency, and promoting sustainable regional development. …”
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Reveal genomic insights into cotton domestication and improvement using gene level functional haplotype-based GWAS by Guoan Qi, Yiqian Li, Wanying Zhang, Zegang Han, Jinwen Chen, Ziqian Zhang, Lisha Xuan, Rui Chen, Lei Fang, Yan Hu, Tianzhen Zhang

“…Abstract Genome-wide association studies (GWAS) are widely used to detect associations between genetic variants and phenotypes. …”
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Revolutionizing Imaging Design Content With AIGC: User-Centered Challenges, Opportunities, and Workflow Evolution by Zijian Zhu, Tao Yu, Yijing Wang, Junping Xu

“…Ethics and privacy reflect user concerns over data security, whereas learning costs negatively affect adoption due to perceived complexity. …”
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Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop by Youngchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, Youn-Suk Choi, Seokho Kang

“…Dimensionality reduction is applied to compress these vectors, thereby enhancing the search efficiency. Human-in-the-loop is integrated to iteratively update the representation model by reflecting user feedback. …”
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Who should be included in first-in-human trials? A systematic review of reasons by Lieke van Kempen, Martine C. de Vries, Eelco J. P. de Koning, Nienke de Graeff

“…These reasons relate to six themes: non-maleficence, beneficence, scientific value, efficiency, respect for persons, and justice. This review highlights multiple challenges in the existing literature, including ambiguous or poorly defined reasons and unspecified use of moral theory, framework, or method, the use of beneficence as an important theme for including participants in FIH trials, and the complexity of identifying and defining vulnerable populations. …”
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Assessing the e-commerce last-mile logistics’ hidden risk hurdles by Rohit Raj, Arpit Singh, Vimal Kumar, Tanmoy De, Shalini Singh

“…Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. …”
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Development of the educational activity monitoring system on the basis of competence-based approach by L. A. Makushkina, M. V. Fadeeva

“…The journal of student’s progress is described, reflecting the received number of points in the course of studying the subject by each type of occupation. …”
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DEVELOPMENT OF THE FOREIGN LANGUAGE TEACHER’S PROFESSIONAL COMPETENCE: MODERN CHALLENGES AND CONTINUOUS PROFESSIONAL GROWTH by Alla Durdas, Tetiana Harbuza, Yuliia Radchenko, Hanna Starosta, Yelyzaveta Holohudina

“…The study highlights various ways to continued professional growth, including participation in international collaboration, initiatives of academic exchange, virtual learning environments and institutional programs of efficiency growth. The article also reaffirms the importance of structured, reflective and continuous professional development in ensuring high quality of foreign language teaching in a global academic landscape. …”

Whole-blood model reveals granulocytes as key sites of dengue virus propagation, expanding understanding of disease pathogenesis by Hansa Praneechit, Somchai Thiemmeca, Dararat Prayongkul, Kessiri Kongmanas, Dumrong Mairiang, Nuntaya Punyadee, Adisak Songjaeng, Nattaya Tangthawornchaikul, Nasikarn Angkasekwinai, Kanokwan Sriruksa, Yupin Suputtamongkol, Wannee Limpitikul, John P. Atkinson, Panisadee Avirutnan

“…Current models for studying DENV pathogenesis often lack the complexity of the human immune system, hindering the development of effective therapies and vaccines. …”
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Adaptively evolved human oral actinomyces‐sourced defensins show therapeutic potential by Shunyi Zhu, Bin Gao, Yoshitaka Umetsu, Steve Peigneur, Ping Li, Shinya Ohki, Jan Tytgat

“…Signatures of natural selection were detected in defensins from the actinomyces colonized in human oral cavity and ruminant rumen and dental plaque, highlighting their role in adaptation to complex multispecies bacterial communities. …”
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Monitoring the Occurrence of <i>Aspergillus</i> in the Air of Intensive Care Units by Anna Inglot, Agnieszka Gniadek, Zuzanna Tokarz, Wirginia Krzyściak, Monika Papież, Paweł Krzyściak

“…The highest concentration of <i>Aspergillus</i> species complexes was detected during autumn, while the lowest was in spring. …”
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Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense by Yung-Jhe Yan, Jen-Tzung Chien, Zi-Yin Hong, Wen-Li Lee, Kuo-Dung Chiou, Chi-Cho Huang, Mang Ou-Yang

“…Hyperspectral image data consist of hundreds of spectral bands, resulting in large data volumes that are not suitable for rapid detection applications. Eight signature bands were selected through a systematic feature extraction process to address these limitations, reducing data dimensionality and acquisition complexity. …”
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Enhancing helmet pressure sensing with advanced 3D printed gyroid architectures by Chao Bao, Danielle Jaye Agron, Taeil Kim, Chris Vattathichirayi, Edwin L. Thomas, Woo Soo Kim

“…Existing simulation models often overlook the complexities of the 3D printing process, leading to discrepancies between isotropic models and empirical data. …”
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Beyond the nuclear border: single-cell analysis of in situ sequenced human brain tissue using cellular features by Janssen M. Kotah, Thomas Rust, Hilmar R. J. van Weering, Janneke Bosma, Amber L. Woudstra, Susanne M. Kooistra, Bart J. L. Eggen

“…A key challenge in ISS data analysis is optimizing transcript allocation while minimizing misallocation, particularly in the morphologically complex central nervous system (CNS). We compared geospatial methods using nuclear and expanded nuclear boundaries for segmentation and transcript allocation. …”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

“…To address the aforementioned issues, this work proposed a machine-learning technique that uses phases to detect Bone scintigraphy. The first phase in the proposed model is the feature extraction and it was conducted based on integrating the Mobile Vision Transformer (MobileViT) model in our framework to capture highly complex representations from raw medical imagery using two primary components including ViT and lightweight CNN featuring a limited number of parameters. …”
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