Energy Efficient Heat Exchange Network for the Oil Vacuum Distillation Facility by Ved V.E., Ilchenko M.V., Myronov A.N.

“…The task is achieved by applying design algorithms of a pinch analysis. The most important result of the work is the proven possibility of reducing the external heat carriers’ energy by 1.87 MW and increasing the thermal energy recovery inside the system to 11.26 MW. …”
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Addressing data imbalance in collision risk prediction with active generative oversampling by Li Li, Xiaoliang Zhang

“…Specifically, our method’s results are above 0.92 on all evaluation indicators, with an average improvement of 23–28.3% compared to the worst-performing ENN method. …”
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Sentiment Analysis of User Reviews of the AdaKami Online Loan App from the App Store Using SVM and Naive Bayes by Wava Lativa Azzahra, Jamaludin Indra, Rahmat Rahmat, Sutan Faisal

“…The classification model was built using two machine learning algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). …”
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Integrated network toxicology and bioinformatics reveal PFAS-driven prognostic biomarkers and molecular mechanisms in breast cancer: insights from transcriptome analysis and molecu... by Yingqiang Fu, Yiyang Liu, Ziqi Sui

“…Enrichment analysis, network construction, and survival analysis were performed to elucidate the biological mechanisms and prognostic value. The CIBERSORT algorithm assessed immune cell infiltration, and molecular docking evaluated interactions between PFAS compounds and key genes. …”
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Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo by Yang M, Wang H, Zhang R

“…Immune cell infiltration between vitiligo and normal control groups was assessed using the CIBERSORT algorithm. Additionally, two machine learning algorithms were employed to identify hub genes, perform enrichment analyses, and evaluate their correlation with immune infiltration.Results: A total of 415 Oxidative Stress-DEGs were identified in vitiligo, including 317 up-regulated and 98 down-regulated genes. …”
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Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis by Qiang Shen, Lin Fan, Chen Jiang, Dingyi Yao, Xingyu Qian, Fuqiang Tong, Zhengfeng Fan, Zongtao Liu, Nianguo Dong, Chao Zhang, Jiawei Shi

“…Machine learning (ML) algorithms were employed to screen potential biomarkers. …”
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Psychometric properties of the German version of the Traumatic Grief Inventory-Self Report Plus (TGI-SR+) by Julia Treml, Viktoria Schmidt, Elmar Braehler, Matthias Morfeld, Anette Kersting

“…Despite the same name, both versions of PGD differ in symptom count, content, and diagnostic algorithm. …”
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Reduced Incidence and Better Liver Disease Outcomes among Chronic HCV Infected Patients Who Consume Cannabis by Adeyinka Charles Adejumo, Oluwole Muyiwa Adegbala, Kelechi Lauretta Adejumo, Terence Ndonyi Bukong

“…We analyzed hospital discharge records of adults (age ≥ 18 years) with a positive HCV diagnosis. We evaluated records from 2007 to 2014 of the Nationwide Inpatient Sample (NIS). …”
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DETERMINING THE DISTANCE TO THE TARGET IN PASSIVE RADAR OF SURFACE OBJECTS by I. M. Mytsenko, O. M. Roenko

“…The performance of the system is evaluated through numerical modelling and analysis. …”
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Bone Mineral Density and Fracture Risk Assessment in Patients of Systemic Sclerosis by Piyush Jain, Satyajt Parihari, Anil Taneja

“…SSc may be considered as an independent risk factor for osteoporosis and patients of SSc should be evaluated for BMD with DEXA scan to prevent osteoporotic fractures.…”
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Multiparametric radiomics signature for predicting molecular genotypes in adult-type diffuse gliomas utilizing 18F-FET PET/MRI by Jie Bai, Bixiao Cui, Fengqi Li, Xin Han, Hongwei Yang, Jie Lu

“…The predictive performance of these models was evaluated via receiver operating characteristic (ROC) curves and decision curve analysis (DCA). …”
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Identification and validation of aging related genes in osteoarthritis by Jian Du, Jian Du, Tian Zhou, Yanghui Dong, Yunchao Sun, Wei Peng

“…The DEGs were intersected with ARGs to identify differentially expressed aging related genes (DEARGs), which were then subjected to functional enrichment analysis, PPI network analysis, and machine learning algorithms (LASSO and RF) to identify key genes. In addition, a nomogram was constructed based on the key genes to predict OA risk, and its diagnostic value was evaluated using ROC curves. …”
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Clinical decision support system based on artificial intelligence for adjusting insulin pump parameters in children with type 1 diabetes mellitus by D. Yu. Sorokin, E. S. Trufanova, O. Yu. Rebrova, O. B. Bezlepkina, D. N. Laptev

“…We constructed recurrent neural network (RNN) to predict glucose concentration for 30-120 minutes, an algorithm for optimizing IP settings using prediction results. …”
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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software by L. de Vugt, E. Carraro, A. Fatihi, E. Mattea, E. Myall, D. Czerwonka-Schröder, K. Anders

“…Changes are quantified via direct point cloud comparison using the M3C2 algorithm and assessed both spatially per epoch as well as regarding the time series information at selected locations. …”
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Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction by Ninad Bhagwat, Xiaobing Zhou, Raja Nagisetty, Liping Jiang, Glenn Shaw, Martha Apple, Jeremy Clotfelter

“…Root-Mean-Square Error, Normalized Root-Mean-Square Error, Mean Absolute Error, and Volume Difference) indicators, highlighting the significant impact of flow regulation on SRM performance. …”
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Debridement, antibiotics, and implant retention in non‐oncological femoral megaprosthesis infections: minimum 5 year follow‐up by A. Asokan, M. S. Ibrahim, J. W. Thompson, F. S. Haddad

“…This study indicates judicious use of DAIR can be an appropriate part of the treatment algorithm. Level of evidence II…”
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Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring by Amarjeet Prajapati, Anshu Parashar, null Sunita, Alok Mishra

“…It has been observed that these kinds of many-objective optimization problems (MaOPs) often pose several performance challenges to the traditional multi-objective optimization algorithms. To address the performance issue caused by the different types of MaOPs, recently, a variety of many-objective particle swarm optimization (MaOPSO) has been proposed. …”
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Image Matting using Superpixels Centroid by Anam Akbar, Aniqa Shirazi, Mohammad Sarim Farooqui

“…Results are comparable to the different matting algorithms applied independently on images of dataset. …”
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Screening of Reference Genes for Quantitative Real-time PCR in Curcuma alismatifolia Bracts by Jianjun TAN, Lishan HUANG, Yiwei ZHOU, Yechun XU, Yuanjun YE

“…The ranking of results obtained from the four different algorithms varied. Specifically, MDH was identified as the most stable reference gene in the ΔCt, geNorm, and NormFinder methodologies analysis, whereas 18S rRNA was the most stable reference gene in the BestKeeper analysis. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…The main objective of study is to explore the capabilities of different algorithms and remote sensing datasets for quantitative change estimation after the flood. …”
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