Types of activity of a judge at the preparatory stage to court hearings by O. M. Tsilmak

“…Judicial activity is quite complex and multifunctional. Therefore, the personality of a judge, his level of qualification, competence and professionally important characteristics are of great importance for this activity. …”
Get full text

Stability Analysis and Mitigation of Thermo-Hydraulic Oscillations in Multi-Supplier District Heating Systems by Pascal Friedrich, Kirill Kuroptev, Thanh Huynh, Stefan Niessen

“…These results provide actionable insights for designing robust DHSs and mitigating challenges in multi-supplier configurations by relying on thoughtful system design rather than complex control strategies.…”
Get full text

Using Machine Learning and Analytical Modeling to Predict Poly-Crystalline PV Performance in Jordan by Sinan S. Faouri, Salah Abdallah, Dana Helmi Salameh

“…ANNs were utilized to capture complex nonlinear relationships, but their performance was limited, likely because of the small sample size and lack of temporal dynamics. …”
Get full text

Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
Get full text

Three-Dimensional Outdoor Object Detection in Quadrupedal Robots for Surveillance Navigations by Muhammad Hassan Tanveer, Zainab Fatima, Hira Mariam, Tanazzah Rehman, Razvan Cristian Voicu

“…Our model selection process, tailored to the specific needs of quadrupedal robots, emphasizes considerations such as model complexity, inference speed, and customization flexibility, achieving an accuracy of up to 99.93%. …”
Get full text

Advances in Food Aroma Analysis: Extraction, Separation, and Quantification Techniques by Dandan Pu, Zikang Xu, Baoguo Sun, Yanbo Wang, Jialiang Xu, Yuyu Zhang

“…Decoding the aroma composition plays a key role in designing and producing foods that consumers prefer. Due to the complex matrix and diverse aroma compounds of foods, isolation and quantitative analytical methods were systematically reviewed. …”
Get full text

Investigate on the Fluid Dynamics and Heat Transfer Behavior in an Automobile Gearbox Based on the LBM-LES Model by Gaoan Zheng, Pu Xu, Lin Li

“…Under high-temperature conditions (such as 100 °C), the diffusion range of the lubricant increases, forming a wider oil film, but its viscosity significantly decreases, leading to greater stirring losses. By optimizing the selection of lubricants and stirring parameters, the efficiency and reliability of the gear transmission system can be further improved, extending its service life. …”
Get full text

IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The implications for smart city development are substantial, as the model offers a robust solution for managing complex traffic patterns and enhancing real-time decision-making. …”
Get full text

Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. …”
Get full text

RNase P cleavage of pseudoknot substrates reveals differences in active site architecture that depend on residue N-1 in the 5’ leader by David M. Kosek, J. Luis Leal, Ema Kikovska-Stojanovska, Guanzhong Mao, Shiying Wu, Samuel C. Flores, Leif A. Kirsebom

“…The nucleobase and the 2’hydroxyl at the position immediately 5’ of the cleavage site contribute to both cleavage efficiency and site selection, where C at this position induces significant cleavage at an alternative site, one base upstream of the main cleavage site. …”
Get full text

Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“…OBJECTIVES: This study aims to establish a machine learning-based Intelligent Distribution Network (IDN) online topology recognition model to address the limited measurement equipment in distribution networks and improve the accuracy and efficiency of network topology recognition. METHODS: First, light GBM was used for feature selection to reduce computational complexity and improve learning efficiency. …”
Get full text

Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. …”
Get full text

Methods of Digital Bite Registration: A Narrative Review by Maryam Jahangiri, Sayed Shojaodin Shayegh

“…However, in patients with complex conditions such as edentulous patients or patients with improper bites, the use of digital scanners can pose challenges. …”
Get full text

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…Our findings indicate that the LSTM model effectively captures and predicts the complex relationships between key design parameters—efficiency, fill factor, and open-circuit voltage—and degradation-induced changes in PSCs. …”
Get full text

Impacts of clinical research units on clinical research — a systematic review of empirical studies by Fan Wang, Xu Wang, Enmei Liu, Fujian Song, Yaolong Chen

“…While previous studies suggest that clinical research units (CRUs) provide critical support and expertise for complex clinical research, their necessity for ensuring high-quality clinical research remains uncertain. …”
Get full text

Infrastructure support for software import substitution by V. K. Grigoryev, A. A. Biryukova, M. A. Ovchinnikov

“…The purpose of the research is to improve the efficiency of software import substitution processes. …”
Get full text

AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…With the rapid development of artificial intelligence, deep learning has been widely applied to complex tasks such as computer vision and natural language processing, demonstrating its outstanding performance. …”
Get full text

Insights into the effects of biomass feedstock and pyrolysis conditions on the energy storage capacity and durability of standard biochar-based phase-change composites by Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam, Yujin Kang, Sumin Kim

“…Abstract Material selection and production conditions are imperative for determining the functional performances of composite materials. …”
Get full text

THEORETICAL AND PRACTICAL VIEW OF FINANCIAL REGULATION OF INNOVATIVE ACTIVITIES IN THE CONDITIONS OF WAR IN UKRAINE by Vitalii V. Zіanko, Tetiana D. Nechyporenko

“…The implementation of these measures will improve the efficiency of budgetary spending, optimize the regulatory environment, and intensify technology transfer. …”
Get full text

Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…To achieve trustworthy ML for riverine sediment timeseries predictions, this study proposes an integrated ML framework, enhancing key steps: feature selection, UQ, and interpretation. Lagged hydro‐environmental variables are incorporated via rigorous feature selection. …”
Get full text