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. …”
Get full text

Assimilating Summer Sea‐Ice Thickness Observations Improves Arctic Sea‐Ice Forecast by Ruizhe Song, Longjiang Mu, Svetlana N. Loza, Frank Kauker, Xianyao Chen

“…The long‐term Arctic‐wide SIT prediction is also improved. In spite of remaining uncertainties, summer CryoSat‐2 SIT observations have the potential to improve Arctic sea‐ice forecast on multiple time scales.…”
Get full text

A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…The prediction measures show that ANNs can consistently estimate two-group constants for the test data assemblies. …”
Get full text

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. …”
Get full text

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

“…Abstract Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non-invasive biomarkers for enhanced diagnostic precision. Using the XGBoost algorithm and variable analysis and the published metadata, we developed the 10-species signature XGBoost classification model (XGB-IBD10). …”
Get full text

On assessing the efficiency of executive authorities in achieving the national development goals by N. E. Buletova, T. A. Zolotko

“…Taking into account the example of calculating KPI, an algorithm for its implementation is proposed, the positive and negative consequences of this system in executive authorities are justified.Scientific novelty: the article for the first time gives an assessment of the prospects for implementing KPI for state and municipal employees with a detailed justification of both advantages and risks of implementing such a system, taking into account the impact of national projects’ goals and objectives on the content and working conditions of executive authorities involved in their implementation.Practical significance: the findings and results of the study can be used in the educational process when studying the use of KPI to improve the efficiency of state and municipal employees at the level of individual governance bodies; the article is also of interest for implementation or development of the KPI system at regional and municipal levels of executive authorities.…”
Get full text

Psychometric Properties and the Network Analysis of the Turkish Version of the Multidimensional Flourishing Scale: Associations with Psychological Distress by İbrahim Dadandı, Fatih Aydın

Get full text

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning by Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura

“…LightGBM, a gradient boosting algorithm, was used for fatigue prediction, and model performance was evaluated using the F1-score, accuracy, and receiver operating characteristic area under the curve using leave-one-out cross-validation. …”
Get full text

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. …”
Get full text

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. …”
Get full text

A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
Get full text

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. …”
Get full text

Creating Worlds that Create Audiences: Theorising Personal Data Markets in the Age of Communicative Capitalism by Vassilis Charitsis, Detlev Zwick, Alan Bradshaw

“…Echoing recent theorisations of data (as) derivatives, Zuboff’s key claim about surveillance capitalism is that data representations open up opportunities for the enhanced market control of life through the algorithmic monitoring, prediction and modification of human behaviour. …”
Get full text

Cultural intelligence and inclusive leadership in a diverse IT sector: a framework for effective collaboration by Камрун Нахар, Омар Фарук, Захир Райхан

“…Based on a mixed-methods study with 600 participants from worldwide IT businesses, the paper proposes CQL-IncluNet, a prediction algorithm to model and evaluate collaboration.  …”
Get full text

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.…”
Get full text

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. …”
Get full text

Secure IoV communications for smart fleet systems empowered with ASCON by Bhuvaneshwari A J, P. Kaythry

“…This research presents the ASCON, a low-power cryptographic algorithm, with the Message Queued Telemetry Transport (MQTT) protocol for secure IoV communications. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios. by Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, Mohammad Zounemat-Kermani

“…Among all the applied AI models, the developed hybrid support vector machine-firefly algorithm (SVM-FFA) model achieved the best predictability performance for both investigated scenarios. …”
Get full text