Efficiency of flexible shielding materials against gamma rays: Silicon rubber with different sizes of Bi2O3 and SnO by Sayyed M. I., Almuqrin Aljawhara H., Al-Balawi Shoaa M., Hedaya Ali., Elsafi Mohamed

“…In this study, the efficiency of flexible composites consisting of viscous silicone rubber as matrix and micro- and nanoparticles of Bi2O3 and SnO2 as fillers was investigated. …”
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A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and No... by A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim

“…A GP-enhanced non-linear function is proposed to mitigate the range bias in LOS scenarios. …”
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Epicardial adipose tissue volume is associated with impaired left ventricular strain in patients with metabolic syndrome: the mediating role of myocardial energetic efficiency by Wei-Feng Yan, Jin Wang, Yuan Li, Shi-Qin Yu, Yu Jiang, Xue-Ming Li, Yi-Ning Jiang, Ke Shi, Yue Gao, Shan Huang, Zhi-Gang Yang

“…Pearson correlation analysis, multivariable linear regression and mediation analysis (bootstrapped 95% confidence intervals) were performed to evaluate the direct and MEEI-mediated effects of EATV on LV myocardial strain. …”
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Design and Optimization Application of Cut Blasting Parameters for One-Time Completion of Blind Shaft by Yifeng Zhang, Yongsheng Jia, Nan Jiang, Quanming Xie, Lin Yuan, Yongbo Wu, Zehui Xu

“…The one-time completion blasting technology for blind shafts is widely used in underground mining, for safety reasons. Efficient blind shaft excavation relies on reasonable cutting blasting technology. …”
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Ultrasonic-prepared porous CuGa2 alloy for efficiently removing undesired room-temperature liquid metals from various substrates by Xu Bi, Xiaotong Guo, Miao Sun, Shuyue Tan, Wencheng Song, Hao Liu, Dandan Shi, Shutao Wen, Haitao Li, Han Dai

“…An efficient and reusable ‘sponge’ based on a porous CuGa _2 alloy (PCA) is developed for removing excess or unwanted room-temperature liquid metals (RTLMs), such as Ga and its room-temperature alloys, from various substrates. …”
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Enhancing High-Order Harmonic Generation Efficiency Through Molecular Size and Orientation Effects: A Pathway to Ultrafast Chemical Dynamics Studies by Shushan Zhou, Hao Wang, Dongming Yu, Nan Xu, Muhong Hu

“…However, enhancing the efficiency of harmonic emission remains a critical challenge in ultrafast science. …”
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Impact of mixed plantation strategies on the nutrient concentrations of green and senescent leaves and their nutrient resorption efficiencies in temperate forests of the Loess Hill... by Senbao Lu, Senbao Lu, Senbao Lu, Senbao Lu, Yunming Chen, Yunming Chen, Yunming Chen, Jordi Sardans, Jordi Sardans, Josep Peñuelas, Josep Peñuelas

“…In 2022, we analyzed N and phosphorus (P) concentrations in green (GLNC, GLPC) and senescent leaves (SLNC, SLPC), resorption efficiencies (NRE and PRE), and relative resorption efficiency (RRE) in mixtures of R. pseudoacacia × A. davidiana and R. pseudoacacia × A. sibirica and monocultures of three species, considering tree structure and topsoil (0-20 cm) properties. …”
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Development of VNX-101, an adeno-associated virus with less immunogenicity and efficient long-term expression of a CD19 T cell engager by Mark A. Currier, Allen Reha, Brian Hutzen, Pin-Yi Wang, Chun-Yu Chen, Andrea M. Glaspell, Siddhi Nath Paudel, Akila S. Venkataramany, Debashree Das, Danielle Hanlon, Allan Kaspar, Samit Varma, Brian Kaspar, Pablo Morales, Peter Ralph, Tonny Johnson, Tania L. Weiss, Timothy P. Cripe

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Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs by Simran Kour, J. Ravi Sankar

“…To assess predictive performance, linear regression (LR) and support vector regression (SVR) models were employed.ResultsThe results showed that adding all hydrogen atoms showed strong correlations, especially for polarizability, molar refractivity, and molar volume. …”
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An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and Sustainability by Abdennabi Morchid, Abdennacer Elbasri, Zahra Oughannou, Hassan Qjidaa, Rachid El Alami, Badre Bossoufi, Saleh Mobayen, Pawel Skruch

“…Water scarcity, exacerbated by climate change, requires adopting more efficient agricultural practices. Traditional irrigation systems, often imprecise, contribute to water wastage. …”
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Trajectory Optimization for Non-Prehensile Manipulation of Space Robots by Chen Li, Yayun Wu, Zixuan Zheng

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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

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Real-time optimized inverse kinematics of redundant robots under inequality constraints by Linlin Zhang, Huibin Du, Zhiying Qin, Yuejing Zhao, Guang Yang

“…The proposed method proceeds by using constrained linear programming instead of quadratic programming to solve the inverse kinematics problem. …”
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Composite Index for Identifying Anomalies in Low Voltage Systems Using Smart Meter Measurement Data by Felipe B. B. Rolim, Fernanda C. L. Trindade, Vinicius C. Cunha

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Understanding and Quantifying the Benefit of Graded Aluminum Gallium Nitride Channel High-Electron Mobility Transistors by François Grandpierron, Elodie Carneiro, Lyes Ben-Hammou, Jeong-Sun Moon, Farid Medjdoub

“…Graded AlGaN channel High-Electron Mobility Transistor (HEMT) technology is emerging as a strong candidate for millimeter-wave applications, as superior efficiency and linearity performances can be achieved. …”
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Experimental Evaluation of a 2DOF Controller for a Novel Multi-Temperature Transport System by Maximilian Losch, Stefan Jakubek, Martin Kozek

“…Multi-temperature transport systems offer a significant opportunity to improve supply chain efficiency by enabling the simultaneous transport of goods with diverse temperature requirements. …”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna array is of great interest. …”
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Estimating canopy height in tropical forests: Integrating airborne LiDAR and multi-spectral optical data with machine learning by Brianna J. Pickstone, Hugh A. Graham, Andrew M. Cunliffe

“…We suggest using RF due to its ease in model building, computational time, and efficient feature selection for predicting canopy height. …”
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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

“…The current study evaluates the performance of three machine learning models—Decision Trees, Random Forest, and Linear Regression—applied to aquaculture data to mitigate risks in aquaculture management. …”
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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…For designing an efficient homogeneous advanced oxidation process (AOP) based wastewater treatment, understanding the performance of multiple oxidants in multiple contaminant matrices is imperative, with appropriate modeling and prediction of the desired performance. …”
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