Eosinophilic Fasciitis: A Review of Research and Therapeutic Possibilities by Julia Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Milena Biernikiewicz, Konstanty Alabrudziński, Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Patryk Graczyk

“…Diagnosis often involves biopsies, lab analyses, and imaging techniques. Current treatment mainly consists of corticosteroids, but further research is needed to assess various therapeutic strategies. …”
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Promising Research Results and Development in the Field of Microwave Technology by A. V. Gusinsky

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Research on ontology based data integration of land use by CHEN Jian-jie, YE Zhi-xuan, KE Zheng-yi

“…This paper explored a land use reference model and expressed the semantic of domain knowledge distinctly based on the ontology technology, and used OWL (Ontology Web Language) to describe the partial of land use feature ontology. The research had achieved the purpose for knowledge sharing and semantic interoperation effectively, in addition, the paper gave an elementary process and main algorithms for land use data integration based on the ontology, and used a Multi-Agent method to develop a prototype.…”
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Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection by Ghufran Basim Alghanimi, Hadeel Aljobouri, Khaleel Akeash Alshimmari, Rasha Massoud

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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…Through two pre-registered experiments, we investigate how individuals evaluate creative content when it is labeled as created by AI, humans, or human-AI collaboration. While previous research has established algorithm aversion across various domains, our findings reveal nuanced patterns in creative contexts. …”
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Optimizing Terminal Water Management in Irrigation District Using Water Balance and Genetic Algorithm by Siyuan Zhao, Jing Chen, Dan Chen, Zhaohui Luo, Bo Bi, Lan Lin, Xinhao Du, Yuanyuan Liu, Qibing Xia

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Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using Machine Learning Algorithms by Arunadevi M, Karthikeyan B, Anirudh Shrihari, Saravanan S, Sundararaju K, R Palanisamy, Mohamed Awad, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Hany S. Hussein, Mahmoud M. Hussein, Ahmed I. Omar

“…In addition to carrying out the optimization of operational parameters and design, MLAs when paired with optimization techniques may effectively and accurately accomplish a variety of optimization goals. The main objective of this study is to explain the significance of MLAs in PEMFC research and describe the prediction of operating parameters at which the PEMFC performance is maximized. …”
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ALGORITHM OF DIAGNOSTICS AND TREATMENT OF ELDERLY AND SENILE PATIENTS WITH ACUTE CHOLECYSTITIS, CHOLEDOCHOLITHIASIS AND OBSTRUCTIVE JAUNDICE by M. D. Dibirov, G. S. Rybakov, V. L. Domarev, M. A. Vasilyeva, B. M. Brodetsky, M. V. Kosachenko

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Combined Mechanism and Its Kinematics Inverse Algorithm for Realizing Constant Speed Reciprocating Motion by Yu Chen, Zhixian He, Peicheng Shi

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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The initial database was equalized and visualized using the Adasyn and t-SNE algorithms. Five rockburst prediction models [support vector machine (SVM), least-squares support vector machine (LSSVM), kernel extreme learning machine (KELM), Random Forest (RF), and XGBoost] were established by employing the Secretary Bird Optimization (SBO) algorithm and 5-fold cross-validation to optimize performance. …”
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Finding Minimum and Maximum Values of Variables in Mathematical Equations by Applying Firefly and PSO Algorithm by Rouwayda Nadhim Salih, Marwa Adeeb Al-jawaherry

“…Many mathematical optimization problems can be solved by Swarm intelligence algorithms. The aim of this algorithm is to get the optimum solution by repeated searches whose main concern is to discover the area related to solution. …”
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Nonuniform Illumination Correction Algorithm for Underwater Images Using Maximum Likelihood Estimation Method by Sonali Sachin Sankpal, Shraddha Sunil Deshpande

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Review of Research on Trajectory Prediction of Road Pedestrian Behavior by YANG Zhiyong, GUO Jieru, GUO Zihang, ZHANG Ruixiang, ZHOU Yu

“…This paper also reviews commonly used datasets and evaluation metrics in the field, providing a thorough evaluation of current algorithmic performance. Finally, it addresses the challenges in pedestrian trajectory prediction for autonomous driving, particularly the dynamic coupling between pedestrians with multi-directional traffic and infrastructure, offering potential solutions and discussing future research directions.…”
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Investigation on Reconstruction for Frequency Domain Photoacoustic Imaging via TVAL3 Regularization Algorithm by Qinglin Kong, Rui Gong, Jietao Liu, Xiaopeng Shao

“…Photoacoustic imaging (PAI) has been widely investigated by researchers from a range of areas. According to the differences between excitation laser sources, PAI can be categorized into two main types, namely the time-domain and frequency-domain PAI. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…To validate the theoretical findings and study the applicability of the algorithms across diverse problem classes, extensive numerical experiments were conducted to calculate the main sensitivity indicators—Sobol’ global sensitivity indices. …”
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A simple efficient anchor-free node localization algorithm for wireless sensor networks by Tao Du, Shouning Qu, Qingbei Guo, Lianjiang Zhu

“…In this article, related research studies of unique localization-, angle- and distance-obtaining methods are introduced, and existing algorithms are analysed. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…Current urban green space information models require further development and refinement in research practices, which could focus on three approaches: The standardization of modeling process, the development of sharing platforms, and the application of generative algorithms. …”
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An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations by Ruohua Yan, Chen Wang, Chao Zhang, Xiaohang Liu, Dong Zhang, Xiaoxia Peng

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Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

“…This research was conducted to optimize energy consumption forecasting in the commune of Boma, in the Democratic Republic of Congo, in the face of persistent imbalances between energy production and demand. …”
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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…Density-Based Spatial Clustering of Applications (DBSCA) applies to many research fields; using the DBSCA with Noise (DBSCAN) algorithm, we propose an improved DBSCAN algorithm that automatically determines the parameters Epsilon and MinPts. …”
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