Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review by Sibi Chakravathy Parivendan, Kashfia Sailunaz, Suresh Neethirajan

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Numerical Analysis of Load Reduction in the Gliding Process Achieved by the Bionic Swan’s Webbed-Foot Structures by Fukui Gao, Xiyan Liu, Xinlin Li, Zhaolin Fan, Houcun Zhou, Wenhua Wu

“…This study on webbed-foot gliding entry behavior provided insights for developing novel bio-inspired entry strategies for cross-medium vehicles, while simultaneously advancing the optimization of impact-mitigation designs in gliding water-entry systems.…”
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Concurrent photocatalytic degradation of organic pollutants using smart magnetically cellulose-based metal organic framework nanocomposite by Nora A El-Mahdy, Sayed RH El-Gharkawy, Magda A Akl

“…This study explores the performance, computational analysis, and mechanistic behavior of a novel magnetically responsive cellulose-based metal-organic framework (MOF) nanocomposite, DAC@PdA@FM, for the simultaneous photocatalytic degradation of Toluidine Blue O (TBO), Crystal Violet (CV), and Sunset Yellow FCF (E110) dyes. …”
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Vagus nerve stimulation therapy for treatment-resistant PTSD by Mark B. Powers, Seth A. Hays, David Rosenfield, Amy L. Porter, Holle Gallaway, Greg Chauvette, Jasper A.J. Smits, Anne Marie Warren, Megan Douglas, Richard Naftalis, Jane G. Wigginton, M Foreman, Michael P. Kilgard, Robert L. Rennaker

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Effects of particle sizes on gas-solid flow and gas production in fluidized-bed gasification of brewer’s spent grains based on CPFD simulations by Hongshuai GUO, Huawei JIANG, Hairui YANG, Cuiping WANG, Yanhui LI

“…In order to investigate the effects of particle sizes on gas-solid flow behavior and gas production in the fluidized-bed gasification of BSGs, the numerical simulations of the gasification of BSGs in a bubbling fluidized-bed gasifier with air and water vapor as gasification agents were performed, based on computational particle fluid dynamics (CPFD) method. …”
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Numerical evaluation of the impact of using spiral innovative turbulator on improving the thermal performance of a helical double-pipe heat exchanger by Seyed Soheil Mousavi Ajarostaghi, Ali Basem, Khalid Waleed Al-Mansoori, Abbas J. Sultan, Mortatha Al-Yasiri, Seyed Hossein Hashemi Karouei, Hossein Ahangaran

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TD-CFD-DPM Coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production by Te Xi, Rongkai Shi, Huaiqu Feng, Bo Chen, Nian Li, Yongwei Wang, Jun Wang

“…Abstracts: Elucidation of the pollen dispersal behavior during the production of hybrid rice seeds is imperative for the optimization of the pollination process and the promotion of mechanized pollination. …”
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Contingency-based flexibility mechanisms through a reinforcement learning model in adults with attention-deficit/hyperactivity disorder and obsessive-compulsive disorder by Rocío Rodríguez-Herrera, José Juan León, Pilar Fernández-Martín, Ana Sánchez-Kuhn, Miguel Soto-Ontoso, Laura Amaya-Pascasio, Patricia Martínez-Sánchez, Pilar Flores

“…Conclusions: These results suggest that OCD and ADHD in adults could be associated with poor behavioral adaptation when reinforcement-punishment contingencies changed. …”
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Revolutionizing clean energy labs: Robotic imitation learning for efficient fabrication AI-powered electrical units assembly platform by Xi Xu, Yijun Gu, Tianyi Zhang, Jiwen Yu, Stephen Skinner

“…The energy industry, now in an era of digitization driven by computational design, is gradually moving towards automating the entire process from computational prediction to device assembly, aiming to minimize the reliance on time-consuming, manual trial-and-error validation. …”
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A neuronal least-action principle for real-time learning in cortical circuits by Walter Senn, Dominik Dold, Akos F Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A Petrovici

“…For output neurons, the principle implies minimizing an instantaneous behavioral error. For deep network neurons, it implies the prospective firing to overcome integration delays and correct for possible output errors right in time. …”
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Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface by Nobuaki Kobayashi, Musashi Ino

“…Easing the behavioral restrictions of those in need of care not only improves their own quality of life (QoL) but also reduces the burden on care workers and may help reduce the number of care workers in countries with declining birthrates. …”
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Elucidating simulated equivalence responding through dynamic visualization of structural connectivity and relational density by James O'Sullivan, Freddy Jackson Brown, Oliver Ray

“…We discuss the limitations of Affinity in its current state, underline future work on the software and computational modeling of Stimulus Equivalence and locate this contribution in the broader scope of integrations of Contextual Behavioral Science and Artificial Intelligence.…”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

“…Frequently tracked data types included audio, gaze, log, facial expression, physiological, and behavioral data. Traditional machine learning and basic statistics were the commonly used analytical methods whilst advanced statistics and deep learning were relatively less utilized. …”
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Impact of Models of Thermodynamic Properties and Liquid–Gas Mass Transfer on CFD Simulation of Liquid Hydrogen Release by Chenyu Lu, Jianfei Yang, Jian Yuan, Luoyi Feng, Wenbo Li, Cunman Zhang, Liming Cai, Jing Cao

“…Due to the complexity and costs of experimental investigation, computational fluid dynamics (CFD) simulations have been extensively applied to investigate the dynamic behaviors of liquid hydrogen release. …”
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Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning by Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar

“…LBP effectively captures local neighborhood patterns and converts complex flow behaviors into quantifiable texture features from images of CFD. …”
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Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU by Taeheon Kim, Jun Ma, Min Hong

“…These capabilities enable immersive and physically plausible XR experiences, including natural cloth draping, grasping, and deformation behaviors during user interactions. The technical advantages of the proposed system suggest strong applicability in various XR fields, such as virtual clothing fitting, medical training simulations, educational content, and interactive art installations. …”
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Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

“…The application of Artificial Intelligence (AI) and Computer Vision (CV) in sports has generated significant interest in enhancing viewer experience through graphical overlays and predictive analytics, as well as providing valuable insights to coaches. …”
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Automatic Extraction and Compensation of P-Bit Device Variations in Large Array Utilizing Boltzmann Machine Training by Bolin Zhang, Yu Liu, Tianqi Gao, Jialiang Yin, Zhenyu Guan, Deming Zhang, Lang Zeng

“…A Probabilistic Bit (P-Bit) device serves as the core hardware for implementing Ising computation. However, the severe intrinsic variations of stochastic P-Bit devices hinder the large-scale expansion of the P-Bit array, significantly limiting the practical usage of Ising computation. …”
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Application of Mathematical Models for Blood Flow in Aorta and Right Coronary Artery by Monica Minniti, Vera Gramigna, Arrigo Palumbo, Gionata Fragomeni

“…The results highlight the importance of shear-thinning and viscoelastic properties in small vessels like the RCA, which contrasts with the predominantly Newtonian behavior observed in the aorta. While computational challenges remain, this study contributes to a deeper understanding of blood rheology, enhancing the accuracy of cardiovascular simulations and offering valuable insights for diagnosing and managing vascular diseases.…”
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Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations by Adil Darvesh, Fethi Mohamed Maiz, Luis Jaime Collantes Santisteban, Talha Anwar, Khalid Almutairi

“…This study explores the thermal transport behavior of Magnetohydrodynamics (MHD) Copper-based nanofluids flow through a dual-stretching rectangular frame by incorporating the complex rheology of inter-particle spacing and particles size dependencies. …”
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