Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
Get full text

Prediction of Ground Subsidence Risk in Urban Centers Using Underground Characteristics Information by Sungyeol Lee, Jaemo Kang, Jinyoung Kim

“…Ground subsidence primarily occurs due to complex factors, such as damage to underground facilities and excavation work, and its occurrence can result in loss of life and damage to property. …”
Get full text

Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. …”
Get full text

A Novel Empirical Interpolation Surrogate for Digital Twin Wave-Based Structural Health Monitoring with MATLAB Implementation by Abhilash Sreekumar, Linjun Zhong, Dimitrios Chronopoulos

“…This assumption breaks down for complex, non-affine damage behavior. To overcome these limitations, we introduce a novel, non-intrusive space–time empirical interpolation method that is applied directly to the full wavefield. …”
Get full text

Media Communications of Executive Power: Assessing Effectiveness by E. A. Bazhenova, M. A. Shirinkina

“…One such measure is the engagement coefficient of users, determined through the online service Popsters.ru. …”
Get full text

Highly parallel optimisation of chemical reactions through automation and machine intelligence by Joshua W. Sin, Siu Lun Chau, Ryan P. Burwood, Kurt Püntener, Raphael Bigler, Philippe Schwaller

“…Minerva demonstrates robust performance with experimental data-derived benchmarks, efficiently handling large parallel batches, high-dimensional search spaces, reaction noise, and batch constraints present in real-world laboratories. …”
Get full text

Copper-catalyzed enantioselective three-component radical 1,4-perfluoroalkylamination of 1,3-dienes by Xiaoyan Shangguan, Lihan Zhu, Yingzi Zhang, Yan Li, Qian Zhang

“…Here, we report a copper-catalyzed enantioselective radical three-component 1,4-perfluoroalkylamination of 1,3-dienes with anilines and perfluoroalkyl reagents, efficiently providing an array of valuable perfluoroalkylated chiral allylic amines in good to excellent yields with excellent enantioselectivity. …”
Get full text

Effect of pyrolytic temperature on the adsorption of Pb(II) from synthetic wastewater onto bamboo chopstick biochar: a conventional vs. microwave-assisted pyrolysis approach by Thembeka Mabaso, Shang-Lien Lo, Pei-Te Chiueh

“…For the adsorbent dose, good removal efficiencies and adsorption capacities were observed at an adsorbent dose of 2 g L−1 and at an initial concentration of 50 mg L−1. …”
Get full text

On an RNA-Membrane Protogenome by Michael Yarus

“…Efficient evolution exists before DNA, else the DNA genome itself could not evolve. …”
Get full text

Structure-based molecular screening and dynamic simulation of phytocompounds targeting VEGFR-2: a novel therapeutic approach for papillary thyroid carcinoma by Shuai Wang, Lingqian Zhang, Wenjun Zhang, Xiong Zeng, Jie Mei, Weidong Xiao, Lijie Yang

“…Additionally, the selected compounds exhibited highly favorable ADMET properties, including optimal water solubility, efficient gastrointestinal absorption, and a non-hepatotoxic profile, all aligning with Lipinski’s rule of five. …”
Get full text

Integration of theoretical principals of psychosomatic medicine and practice of Balint supervision in physicians in the promotion of effective professional communication by V A Vinokur, T A Karavaeva

“…The analysis of Balint groups effectiveness provided during more than fifty years brought an evidence that Michael Balint presented very efficient method which helped physicians in different medical fields and psychologists reduce their emotional arousal in the treatment of “difficult” patients who are patients with psychosomatic disorders very frequently. …”
Get full text

Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…A general control strategy for smooth blasting is too difficult to be available due to the uncertainties and complexity of rock masses, as well as the varying blasting operations. …”
Get full text

Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Then, we implement parallel neural networks to handle computations efficiently. Then, conformal prediction technique is implemented to ensure trustworthy and confident performance. …”
Get full text

Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…Therefore, it is very important to control the water content of iron ore reasonably for improving mining production efficiency, reducing energy consumption and reducing waste of raw materials. …”
Get full text

Effects of walking long distances by ECD learners in Shamva district, Mashonaland Central Province, Zimbabwe by Lucky Mutonhodza

“…It is unearthed that when ECD learners walk long distances to school, it is a complex and heterogeneous problem that can lead to several issues. …”
Get full text

Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…Current methods often ignore these correlations and poorly select parameters, missing valuable insights. Additionally, they lack interpretability, operating efficiently with limited resources, and root cause identification. …”
Get full text

Agora: A Distributed Language Model Framework With API-Call Support for Integrated Climate Forecasting by Alexandra Udrescu, Dan-Matei Popovici

“…We introduce Agora, a Generative AI-driven system that delivers expert answers and recommendations on climate and agriculture, transforming complex data into clear, natural language explanations. …”
Get full text

Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

“…In order to predict the compressive strength of SFRC efficiently and accurately, this study proposes a deep learning-based prediction model, trained and tested on a large set of experimental data. …”
Get full text

Simultaneous single-sample determination of NMNAT isozyme activities in mouse tissues. by Giuseppe Orsomando, Lucia Cialabrini, Adolfo Amici, Francesca Mazzola, Silverio Ruggieri, Laura Conforti, Lucie Janeckova, Michael P Coleman, Giulio Magni

“…The variable contributions of the three individual isozymes to total NAD synthesis in the complex mixture was calculated by measuring reaction rates under three selected assay conditions, generating three linear simultaneous equations that can be solved by a substitution matrix calculation. …”
Get full text

Multi-Dimensional Parameter-Estimation Method for a Spatial Target Based on the Micro-Range Decomposition of a High-Resolution Range Profile by Xing Wang, Degui Yang, Zhichen Zhao

“…Then, micro-range coefficients are selected based on their Cramér–Rao lower bound (CRLB), and the correlation between these coefficients and target parameters is exploited for scattering center matching. …”
Get full text