The effects of linear energy density and gas environment on droplet spatter characteristics and dynamics during selective laser melting by Guang Yang, Qi Liu, Da An, Xiangming Wang, Ranliang Wu, Han Xie

“…The mechanism of droplet spatter is discussed and divided into three categories. Predicting the recoil pressure and horizontal distance of spatter. …”
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Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles by Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal

“…It is observed that the defect annihilation scaling exponents deviate from the theoretically predicted value of α = 1/2 when nanoparticles of varying size and concentration are introduced to the system. …”
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Abstraction-based segmental simulation of reaction networks using adaptive memoization by Martin Helfrich, Roman Andriushchenko, Milan Češka, Jan Křetínský, Štefan Martiček, David Šafránek

“…Conclusion  We demonstrate that in combination with a novel fully automatic and adaptive hybrid simulation scheme, we can speed up the generation of trajectories significantly and correctly predict the transient behavior of complex stochastic systems.…”
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An Influence of Gas Explosions on Dynamic Responses of a Single Degree of Freedom Model by Ki-Yeob Kang, Kwang-Ho Choi, Jae Woong Choi, Yong Hee Ryu, Jae-Myung Lee

“…Computational fluid dynamics (CFD) simulations contribute a key part of an ERA and predict possible blast consequences in a hazardous area. …”
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Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary, Shagun Agarwal

“…AI-driven models analyze vast genomic, proteomic, and clinical datasets to refine treatment strategies, predict disease progression, and pre-empt therapy failures. …”
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Study on Optimization of Mapping Method for Multi-Layer Cage Chicken House Environment by Zhaobo Zhang, Yanwei Yuan, Xin Dong, Yulong Yuan, Sa An, Yue Cao, Yang Li, Yuefeng Chen

“…At the same time, by limiting the sampling of environmental map information particles within a specific range and optimizing the screening based on the predicted distribution of particle poses and the matching degree of the map, the diversity of particles and the accuracy of map information have been effectively improved. …”
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Smart design A2Zr2O7-type high-entropy oxides through lattice-engineering toughening strategy by Ying Zhang, Ke Ren, William Yi Wang, Xingyu Gao, Jun Wang, Yiguang Wang, Haifeng Song, Xiubing Liang, Jinshan Li

“…Here, based on the classic Griffith criteria, a physics-driven theoretical equation combined with a knowledge-enabled data-driven machine-learning algorithm is proposed to predict the KIC and elucidate the toughening mechanisms of A2Zr2O7-type HEOs. …”
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Designed to binge? Exploring user perceptions of interface features on video streaming platforms by Cynthia A. Dekker, Anna Tverdina

“…Results indicate that the extent to which a user has a preference for binge-watching as a viewing style predicts their usability perceptions of the platform's interface features. …”
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Enhancing Kalman Filter Performance: Design and Estimation with Fading-Memory Kalman Filter for Reduced Modeling Error and Improved Robustness by Jalil Manafian, Mehdi Fazli, Onur Alp Ilhan, Somaye Malmir, Sukaina Tuama Ghafel

“…The Kalman filter is a widely employed algorithm for state estimation and sensor fusion in various fields. …”
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Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

“…Accurately predicting the temperature inside cables is crucial for effective cable management. …”
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The glycolytic reaction PGAM restrains Th17 pathogenicity and Th17-dependent autoimmunity by Chao Wang, Allon Wagner, Johannes Fessler, David DeTomaso, Sarah Zaghouani, Yulin Zhou, Kerry Pierce, Raymond A. Sobel, Clary Clish, Nir Yosef, Vijay K. Kuchroo

“…Surprisingly, Compass predicted that the metabolic shunt between 3-phosphoglycerate (3PG) and 2-phosphoglycerate (2PG) is inversely correlated with pathogenicity in Th17 cells. …”
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Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation by Shicheng Yu, Jun Li, Zhaofeng Ye, Mengxian Zhang, Xiaohua Guo, Xu Wang, Liansheng Liu, Yalong Wang, Xin Zhou, Wei Fu, Michael Q. Zhang, Ye-Guang Chen

“…Furthermore, the microbiome-based model showed promise in predicting active IBD. Overall, this study identifies promising non-invasive biomarkers associated with IBD, which could greatly enhance diagnostic accuracy.…”
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LOMS.cz computational platform for high-throughput classical and combinatorial Judd-Ofelt analysis and rare-earth spectroscopy by Jan Hrabovsky, Petr Varak, Robin Krystufek

“…As a proof-of-concept, we demonstrate how this computational framework enables rapid screening of spectroscopic parameters, allowing researchers to predict optical properties with enhanced reliability. …”
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ProProtein: A platform for fully automated identification of 3D structure fluctuations in MD simulation trajectories. by Krzysztof Mularski, Dawid Makalowski, Marcin Okonek, Daria Glebowska, Mateusz Swiercz, Karol Kamel, Jacek Blazewicz, Maciej Antczak, Aleksandra Swiercz

“…This tool can easily support the evaluation of the reliability of protein 3D structure predictions obtained computationally. The ProProtein platform is free and open to all users. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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Transformation of Nonmultiple Cluster Music Cyclic Shift Topology to Music Performance Style by Jing Li

“…The bidirectional recurrent neural network based on Gated Recurrent Unit (GRU) is used to extract different styles of note feature vector sequences, and the extracted note feature vector sequence is used to predict the intensity of a specific style, and the intensity changes of different styles of nonmultiple cluster music are better learned. …”
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Recommendations for the development and implementation of a balanced scorecard based on studying the experience of Russian organisations by N. V. Kuznetsova, P. Yu. Leonov

“…The authors of this work state detailed conclusions for each section indicating the detected motives for actions and predicting potential results. The algorithm for formulating recommendations for the development and implementation of the balanced scorecard identified at the beginning of the article finds its step-by-step development within the framework of the ongoing research and is accompanied by reasoned comments based both on previously published sources of information and on provisions proposed by the authors.…”
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Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes by Dyllan Bagus Siswanto, Dwi Normawati

“…This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. …”
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Research on Vehicle Automatically Tracking Mechanism in VANET by Lin Wang, Shukui Zhang, Xiaoning Wang, Yang Zhang

“…By using VANET, some predictable status of tracing and tracking of intelligent vehicle technology was researched, and the communication protocols between two vehicles, the safe spacing algorithm, the method of computing the actual distance at corners and straights, and the trajectory of lane change were designed. …”
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A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…By automating weather data acquisition, the methodology bridges the gap between weather predictions and practical energy management, providing utilities with a reliable tool for operating and integrating renewable energy. …”
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