Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…Model performance is evaluated through 10-fold cross-validation using five different metrics. …”
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A comparative study of Mongolian medicine prescriptions in the Chinese Pharmacopoeia and Tibetan medicinal compounds in the Ministerial Standards by Ji Zang, Cai Rang-Zhou Tai, Jie-Jia Nan, Cai Rang-Nanjia

“…Different weights were applied to calculate the comprehensive similarity between the formulas. …”
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Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A case study of Marie Skłodowska-Curie actions. by Rachel Heyard, David G Pina, Ivan Buljan, Ana Marušić

“…Using data from the Marie Skłodowska-Curie Actions, we aimed at investigating the differences between an algorithmic approach to summarise the information from grant proposal individual evaluations to decisions after consensus meetings, and we present an exploratory comparative analysis. …”
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Accurate and rapid single nucleotide variation detection in PCSK9 gene using nanopore sequencing by Ilaria Massaiu, Vincenza Valerio, Valentina Rusconi, Valentina Rusconi, Francesca Bertolini, Donato De Giorgi, Veronika A. Myasoedova, Paolo Poggio, Paolo Poggio

“…Twelve subjects were analyzed using different sequencing flow cells, basecalling models, and SNV calling algorithms. …”
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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

“…Experimental results obtained on datasets from four different domains show that the proposed method can effectively enhance feature and label embedding and fully capture the higher-order correlation information between labels for multi-label classification tasks, and the significant superiority of the proposed method in performance is verified through a comparative analysis with state-of-the-art algorithms in terms of multiple evaluation metrics.…”
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Research of color models in digital graphics by Hetman Oksana, Shpetna Svitlana

“…The prospects for further studies involve the development of advanced color processing algorithms and the integration of modern color models into emerging technologies such as augmented reality, virtual reality, and HDR imaging systems. …”
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Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review by Zia‐Ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, Muhammad Faheem

“…This comprehensive review intends to examine current developments in deep learning (DL) approaches with neuroimaging for AD diagnosis, where popular imaging types, reviews well‐known online accessible data sets, and describes different algorithms used in DL for the correct initial evaluation of AD are presented. …”
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Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis by Masafumi Yagi, Akira Sakai, Suguru Yasutomi, Kanata Suzuki, Hiroki Kashikura, Keiichi Goto

“…Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. …”
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Integrated Workflow for Drug Repurposing in Glioblastoma: Computational Prediction and Preclinical Validation of Therapeutic Candidates by Nazareno Gonzalez, Melanie Pérez Küper, Matías Garcia Fallit, Jorge A. Peña Agudelo, Alejandro Nicola Candia, Maicol Suarez Velandia, Ana Clara Romero, Guillermo Videla Richardson, Marianela Candolfi

“…Daporinad, a NAMPT inhibitor that permeates the blood-brain barrier was selected for further preclinical evaluation. This evaluation supported the in silico predictions of high potential efficacy and safety in GBM. …”
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Effect of Droplet Contamination on Camera Lens Surfaces: Degradation of Image Quality and Object Detection Performance by Hyunwoo Kim, Yoseph Yang, Youngkwang Kim, Dong-Won Jang, Dongil Choi, Kang Park, Sangkug Chung, Daegeun Kim

“…To assess the effect on object detection, performance changes were evaluated across different detection algorithms. The findings reveal that droplet contamination can reduce the detection performance of small objects by up to 90%, as measured by the mean average precision (mAP) metric. …”
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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

“…A Markov Decision Process (MDP) was built on the extracted discrete time-series. A policy iteration algorithm was used to obtain the optimal AI policy for the MDP. …”
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Predictive modelling of whole-body vibration transmission through strategic locations of human body using artificial neural networks by Ali Murtoja Shaikh, Bibhuti Bhusan Mandal

“…Methods: Employing a multilayer feed-forward neural network integrated with the back propagation algorithm, an optimal setup was explored. Data were collected from 52 adult male subjects. …”
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Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies by Bishwajit Dey, Gulshan Sharma, P.N. Bokoro

“…Demand response programmes are used in microgrid research without considering the different price elasticity of distinct load types. …”
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Mechanical Properties and Fracture Surface Morphology of Quartz Sandstone Under Triaxial Shear by Zhinan LIN, Shihong FENG, Jiaquan WANG, Qiang ZHANG, Haifeng LONG

“…Also, based on the Delaunay point–cloud discretization algorithm, the failure fracture surface of quartz sandstone was reconstructed, and the variation characteristics of its potential contact part with the effective inclination threshold of the surface were analyzed. …”
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Association between intraoperative lactate levels and acute kidney injury after on-pump cardiac surgery: a retrospective cohort study across two centers by Dong Xu Chen, Yu Yang Zhang, Xing Long Xiong, Leng Zhou, Jing Shi

“…Concurrently, optimal lactate thresholds were determined through the application of a classification and regression tree algorithm. Results Among the 5255 patients analyzed, 931 (17.72%) developed acute kidney injury. …”
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Trade credit management in wholesale companies based on statistical methods by E. V. Ermakova

“…This article contains the model to evaluate the possibility of due repayment and algorithm to select the payment delay, which are based on the binomial logistic model and classification functions. …”
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Enhancing early gestational diabetes mellitus prediction with imputation-based machine learning framework: A comparative study on real-world clinical records by Leyao Ma, Lin Yang, Yaxin Wang, Jie Hao, Yini Li, Liangkun Ma, Ziyang Wang, Ye Li, Suhan Zhang, Mingyue Hu, Jiao Li, Yin Sun

“…LR models trained on data imputed by mice remained the most robust across varying levels of missingness. The classification algorithm primarily accounted for differences in predictive performance. …”
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Predictive factors of cardiovascular changes depending on the type and intensity of physical activity in professional athletes by N. P Garganeeva, I. F. Taminova, V. V. Kalyuzhin, E. V Kalyuzhina, I. N. Smirnova

“…When creating predictive models of early cardiovascular changes, we used logistic regression, stepwise regression and Wald statistics. Differences were considered significant at p&lt;0,05.Results. …”
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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“…In the quality control algorithm evaluation (N=172, K=343 images), we found a positive association (φ ConclusionsOur findings about the performance and usability of this retinal camera system support its deployment as an integrated end-to-end retinal service for primary care. …”
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Target determination for transcranial magnetic stimulation in patients with a pharmacotherapy-resistant depressive episode based on the individual parameters of resting-state funct... by A. G. Poydasheva, D. O. Sinitsyn, I. S. Bakulin, N. A. Suponeva, N. V. Maslennikov, E. E. Tsukarzi, S. N. Mosolov, M. A. Piradov

“…The investigation can be considered to be pilot in searching for algorithms to enhance the efficiency of rTMS DLPFC in pharmacotherapy-resistant depression using the algorithm for personification of target selection. …”
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