Efficiency optimization of a hybrid Savonius-Darrieus hydrokinetic turbine via regression modeling and CFD-based design of experiments by Mateo Arrieta-Gomez, Sebastián Vélez-García, Diego Hincapié Zuluaga, Juan C. Tejada, Daniel Sanin-Villa

“…A total of 36 experiments were designed, with factors set at more than three levels to account for quadratic behaviors. Computational fluid dynamics (CFD) analyses were conducted in ANSYS 2024 R2 to calculate the torque generated in each case. …”
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Fractional Scaling Analysis - Methodology application to LSTF facility and a PWR for a small break LOCA transient by César Berna-Escriche, David Blanco, José Luis Muñoz-Cobo, Lucas Álvarez-Piñeiro, Alberto Escrivá

“…Scaling methodologies quantitatively assess the behavioral differences between small-scale experimental systems and full-size commercial plants during specific accidental scenarios. …”
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Numerical Simulation on Damage and Failure Mechanism of Rock under Combined Multiple Strain Rates by Wancheng Zhu, Jiong Wei, Leilei Niu, Shuai Li, Shaohua Li

“…The study on the damage mechanism of rock under multistrain-rate condition that induced by mining excavation is the fundamental issue for predicting the mining-induced hazards such as rockburst. …”
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A Speech-Based Mobile Screening Tool for Mild Cognitive Impairment: Technical Performance and User Engagement Evaluation by Rukiye Ruzi, Yue Pan, Menwa Lawrence Ng, Rongfeng Su, Lan Wang, Jianwu Dang, Liwei Liu, Nan Yan

“…Task engagement significantly influenced speech patterns: users rating tasks as “most interesting” produced more speech content (<i>p</i> < 0.05), though behavioral observations showed consistent cognitive processing across perception groups. …”
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The Internal Kinematics of NGC 2808 and Its Multiple Populations by M. Griggio, A. Bellini, F. I. Aros, E. Vesperini, M. Libralato, J. Anderson, H. Baumgardt, F. R. Ferraro, R. P. van der Marel, S. Raso, A. Renzini, A. Rest, R. E. Ryan Jr.

“…We detect different kinematical behaviors between the first- and second-generation populations. …”
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Parents of newborns knowledge of child safety seat in Sichuan Province, China: A mixed method study by Sha Xie, Xiuru Yang, Li Wan, Haiyan He, Dan Wen

“…Quantitative surveys (May-August 2024) assessed the CSS knowledge, attitudes, and behaviors of 684 parents. Qualitative interviews (July-December 2022) were conducted with 20 parents to explore the decision-making drivers. …”
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Relationship between personality traits and self-control in emergency nurses in western Iran by Safura safavi, Amir Jalali, MohammadJavad Veisimiankali, Nader Salari, Somayeh Fallah, Tayebeh Mahvar

“…Background: Personality traits significantly influence professional and occupational behaviors, allowing for the prediction of specific actions in various work-related contexts. …”
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Comparative analysis of hall current impact on MHD laminar surface tension gradient 3D flow of propylene glycol based tetra hybrid nanofluid with generalized fick's and fourier's p... by Munawar Abbas, Shirin Shomurotova, Qasem Al-Mdallal, Ali Akgül, Zuhair Jastaneyah, Hakim AL Garalleh

“…This model is essential for precisely predicting the behaviors of heat transfer in nanofluid flows since it takes thermal relaxation time into consideration. …”
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Navigating high-dimensional process-structure–property relations in nanocrystalline Pt-Au alloys with machine learning by Saaketh Desai, Manish Jain, Sadhvikas J. Addamane, David P. Adams, Remi Dingreville, Frank W. DelRio, Brad L. Boyce

“…For decades, materials scientists have relied on the process-structure–property paradigm to guide investigations into material behaviors. Traditional studies often examine a limited number of process-structure–property variables, striving to elucidate mechanisms governing material response. …”
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Mechanical feedback mechanisms in a multiscale sliding filament model of lymphatic muscle pumping by Peter Y. Xie, Christopher J. Morris, Christopher D. Bertram, Michael J. Davis, Samira Jamalian, Mohammad Jafarnejad, David C. Zawieja, James E. Moore, Jr

“…Inter-lymphangion signaling was necessary to reproduce downstream pressure ramp experiments, but otherwise the model predicted behaviors under these more complex conditions. …”
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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…Traditional trajectory-based methods often struggle with occlusions and overlapping behaviors, leading to inaccurate group identification. …”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning&#x2014;A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Various methods, ranging from automated incident response and behavioral analytics to neural networks and deep learning, have been classified and compared. …”
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In Silico Trials of Prosthetic Valves Replicate Methodologies for Evaluating the Fatigue Life of Artificial Leaflets to Expand Beyond In Vitro Tests and Conventional Clinical Trial... by Pengzhi Mao, Min Jin, Wei Li, Haitao Zhang, Haozheng Li, Shilong Li, Yuting Yang, Minjia Zhu, Yue Shi, Xuehuan Zhang, Duanduan Chen

“…This study presents in silico trials of prosthetic valves, along with methodologies incorporating nonlinear behaviors to evaluate the fatigue life of artificial leaflets. …”
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Deciphering the Physical Binding Mechanism of Enzyme–Photosensitizer Facilitates Catalysis-Augmented Photodynamic Therapy by Bingqing Jia, Yang Liu, Xudong Geng, Yuezheng Li, Chengmei Zhang, Yuanyuan Qu, Xiangdong Liu, Mingwen Zhao, Yanmei Yang, Weifeng Li, Yong-Qiang Li

“…Here, we systematically investigate the interacting behaviors of representative enzymes with one of the most popular PS of chlorin e6 (Ce6) and elucidate their binding dynamics and crucial determinants. …”
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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…The study uses and analyses two benchmarking datasets, the PIMA Indian Diabetes Dataset (PIDD) and the Behavioral Risk Factor Surveillance System (BRFSS) diabetes dataset, to classify diabetes. …”
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Characterizing the childhood roots of adult sense of mastery across 22 countries in the global flourishing study by Eric S. Kim, Matt Bradshaw, Ying Chen, William J. Chopik, Sakurako S. Okuzono, Renae Wilkinson, R. Noah Padgett, Margie E. Lachman, Byron R. Johnson, Tyler J. VanderWeele

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From Genomics to AI: Revolutionizing Precision Medicine in Oncology by Giulia Calvino, Juliette Farro, Stefania Zampatti, Cristina Peconi, Domenica Megalizzi, Giulia Trastulli, Sarah Andreucci, Raffaella Cascella, Claudia Strafella, Carlo Caltagirone, Federico Grifalchi, Emiliano Giardina

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Serological biomarker for assessing human exposure to Aedes mosquito bites during a randomized vector control intervention trial in northeastern Thailand. by Benedicte Fustec, Thipruethai Phanitchat, Sirinart Aromseree, Chamsai Pientong, Kesorn Thaewnongiew, Tipaya Ekalaksananan, Dominique Cerqueira, Anne Poinsignon, Eric Elguero, Michael J Bangs, Neal Alexander, Hans J Overgaard, Vincent Corbel

“…Individual characteristics, behaviors/occupation and socio-demographics, climatic and epidemiological risk factors associated with human-mosquito exposure are also addressed.…”
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Intentions for post-abortion contraceptive use among women who received abortion services in health facilities of Harar city and Dire Dawa city by Meron Degefa, Nega Assefa, Merga Deresa, Dawit Abebe, Sinetibeb Mesfin

“…Binary logistic regression was employed to predict the association between dependent and independent variables. …”
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Understanding the future of dengue in Malaysia: Assessing knowledge, attitude, and homeowner practices in mitigating climate-driven risks [version 1; peer review: 2 approved] by Sapna Shridhar Patil, Izzah Athirah Rosli, Fatin Norhasny Leman, Nur Hasnah Ma’amor, Nor Asiah Muhamad, Kulankara Balan Venugopalan, Prabal Bhargava, Mahalingam Dinesh, Weng Keong Yau, Chai Hong Yeong, Eng Hwa Wong, Arasarethinam Mugilarasi, Ameya Ashok Hasamnis, Imam Shaik, Chung Yeng Looi, Pei Pei Chong, Priya Madhavan, Lei Hum Wee, Anitha Ponnupillai, Jo Ann Andoy-Galvan, Yin How Wong

“…The PPR location significantly predicts dengue knowledge, attitudes, and preventive practices, with p-values of less than 0.001 for all domains. …”
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