Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…The main characteristics were the size of the training and validation datasets, accuracy, sensitivity, specificity, AUROC (Area Under Receiver Operating Characteristic Curve). A number of studies investigate the comparative characteristics of algorithms. …”
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Investigation into the Efficient Cooperative Planning Approach for Dual-Arm Picking Sequences of Dwarf, High-Density Safflowers by Zhenguo Zhang, Peng Xu, Binbin Xie, Yunze Wang, Ruimeng Shi, Junye Li, Wenjie Cao, Wenqiang Chu, Chao Zeng

“…Path planning for picking safflowers is a key component in ensuring the efficient operation of robotic safflower-picking systems. However, existing single-arm picking devices have become a bottleneck due to their limited operating range, and a breakthrough in multi-arm cooperative picking is urgently needed. …”
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Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

“…XGBoost was shown to be the optimal model after a comparison of seven different models utilizing metrics such as accuracy, precision, recall, the F1 score, precision-recall average precision, the receiver operating characteristic-area under the curve, decision curve analysis, and the calibration curve. …”
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Air quality and dust level monitoring systems in hospitals using IoT by A. Parkavi, B. J. Sowmya, Sini Anna Alex, S. Supreeth, G. Shruthi, S. Rohith, Sudipta Chatterjee, K. Lingaraj

“…Different areas, such as operating rooms and waiting rooms, require specific air quality standards, tailored to the varying health conditions of patients and visitors. …”
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The Role of a Smartphone Application in Monitoring the Risk of Hearing Loss Associated with Personal Listening Devices in Young Adults by Deniz Tuz, Selin Sariçamlik, Ceren Bodur, Gülce Kirazli, Pelin Piştav Akmeşe

“…Methods A cross-sectional study was conducted on 99 healthy iPhone Operating System (iOS) smartphone users aged 17 to 31 years. …”
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Development of a nomogram model to predict 30-day mortality in ICU cancer patients with acute pulmonary embolism by Shuangping Li, Shenshen Huang, Yuxuan Feng, Yimin Mao

“…Predictors were initially selected using Least Absolute Shrinkage and Selection Operator (LASSO) analysis. A multivariable logistic regression model was then developed. …”
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Effect of Al2O3 and CaF2 additives on the viscosity of conventional cryolite melts by A. S. Lyutina, A. A. Kataev, A. V. Rudenko, O. Yu. Tkacheva

“…It was found that the viscosity of cryolite melts of conventional composition in the range of operating temperatures of aluminum electrolysis (950–970 °C) varies from 2.5 to 3.7 mPa·s (depending on the composition and temperature). …”
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Triglyceride-Glucose Index for the Diagnosis of Metabolic Syndrome: A Cross-Sectional Study of 298,652 Individuals Receiving a Health Check-Up in China by Mingfei Jiang, Xiaoran Li, Huan Wu, Fan Su, Lei Cao, Xia Ren, Jian Hu, Grace Tatenda, Mingjia Cheng, Yufeng Wen

“…We enrolled 298,652 individuals with an average age of 47.08 ± 12.94 years and who underwent health check-ups at the First Affiliated Hospital of Wuhu Wannan Medical College in this cross-sectional study from 2014 to 2016. …”
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Astigmatism-type-specific impact of peripheral corneal thickness on anterior keratometric profile changes after temporal clear corneal incision cataract surgery by Ja Young Oh, Seung Hyeun Lee, Yeoun Sook Chun, Kyoung Woo Kim

“…In the oblique group, MPCT/CCT was correlated with changes in flat, steep, and average anterior keratometry. No significant correlations were observed in the ATR group. …”
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DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles by Siqiang Cheng, Lingshan Chen, Kun Yang

“…Compared to baseline YOLOv8s, DGSS-YOLOv8s achieves mean Average Precision (mAP)@50 improvements of 2.4% (BDD100K) and 4.6% (KITTI). …”
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Early prediction of colorectal adenoma risk: leveraging large-language model for clinical electronic medical record data by Xiaoyu Yang, Jinjian Xu, Hong Ji, Jun Li, Bingqing Yang, Liye Wang

“…Area under the receiver operating characteristic curve (AUC) is the major metric for evaluating model performance. …”
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Optimization of Bus Dispatching in Public Transportation Through a Heuristic Approach Based on Passenger Demand Forecasting by Javier Esteban Barrera Hernandez, Luis Enrique Tarazona Torres, Alejandra Tabares, David Álvarez-Martínez

“…Our heuristic matches or surpasses 95% of the optimal solution’s operational utility on most routes, with an average gap of 4.7%, relative to the benchmark mathematical model. 2. …”
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Identification of M1 macrophage infiltration-related genes for immunotherapy in Her2-positive breast cancer based on bioinformatics analysis and machine learning by Sizhang Wang, Xiaoyan Wang, Jing Xia, Qiang Mu

“…The average value of the area under the curve for the nomogram models was higher than 0.75 in both the training and testing sets. …”
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Pretrained patient trajectories for adverse drug event prediction using common data model-based electronic health records by Junmo Kim, Joo Seong Kim, Ji-Hyang Lee, Min-Gyu Kim, Taehyun Kim, Chaeeun Cho, Rae Woong Park, Kwangsoo Kim

“…Results Here we show that EHR pretraining models with DE outperform the models without pretraining and DE in predicting various ADEs, with the average area under the receiver operating characteristic curve (AUROC) of 0.958 and 0.964 in internal and external validations, respectively. …”
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Analysis of Observed and Projected Climate Change and Variability in Wheat Production Belts of Southeastern Oromia, Ethiopia by Yared Tesfaye, Nigussie Dechassa, Yibekal Alemayehu, Dereje Ademe Birhan

“…Midcentury climate data for eight GCMs operating under RCP4.5 and RCP8.5 were obtained from the MarkSim database. …”
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Dynamic performance analysis of sensible and latent cold thermal energy storage systems for building cooling networks by Bilal Lamrani, Rubayyi T. Alqahtani, Abdelhamid Ajbar, Mouhcine benaicha

“…However, there remains a need to better understand and quantify the dynamic performance of different TES technologies particularly under realistic operating conditions. This study aims to develop and compare the dynamic thermal performance of sensible and latent cold TES systems integrated into building cooling networks. …”
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Combustion Process of Coal–Açai Seed Mixtures in a Circulating Fluidized Bed Boiler by Gabriel C. P. Soares, João V. R. Moreira, Fernando H. B. Santos, Danielle R. S. Guerra, Manoel F. M. Nogueira

“…The work acquired data regarding the equipment in real operational conditions, consisting of the fundamental geometric and operational parameters used in the simulation campaign. …”
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Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing by Shizhe Li, Chunzhi Fan, Ali Kargarandehkordi, Yinan Sun, Christopher Slade, Aditi Jaiswal, Roberto M. Benzo, Kristina T. Phillips, Peter Washington

“…Results: Among the 9 participants, we achieved an average area under the receiver operating characteristic curve score across participants of 0.695 for the supervised CNNs and 0.729 for the SSL models. …”
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Performance comparison of LFPSC-ASHP and VTSC-ASHP heating systems based on oil and gas gathering and transportation stations by Zhenglong Zhang, Zhiguo Wang, Yixing Yang, Haoyu Chen, Peiyuan Chen

“…To addressing the high operating costs, low energy efficiency, and severe carbon emissions of high-carbon heating systems in oil and gas collectors, we proposes a new dynamic and complementary energy supply framework that couples an inverted air source heat pump with a solar collector. …”
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The role and place of transanal endoscopic resections in rectal cancer by R. P. Nikitenko, V. M. Zaporozhan, K. O. Vorotyntseva, Ye. A. Koichev

“…The extent of the surgical intervention is determined on the operating table based on urgent histological examination results. …”
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