A Novel Gridless Non-Uniform Linear Array Direction of Arrival Estimation Approach Based on the Improved Alternating Descent Conditional Gradient Algorithm for Automotive Radar Sys... by Mingxiao Shao, Yizhe Fan, Yan Zhang, Zhe Zhang, Jie Zhao, Bingchen Zhang

“…However, the performance of ANM is suboptimal in non-uniform linear arrays (NULAs), and their computational efficiency is not satisfactory. In this paper, we propose a novel algorithm for DOA estimation in NULA, drawing inspiration from the alternating descent conditional gradient algorithm framework. …”
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Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies by B.A.M. Talisay, G.R. Puno, R.A.L. Amper

“…On the other hand, the performance of hydraulic model during error computation was “intermediate fit” using F measure analysis with a value of 0.56, using confusion matrix with 80.5% accuracy and the Root Mean Square Error of 0.47 meters. …”
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Combined exposure to mixed brominated flame retardants on obstructive sleep apnea syndrome in US adults by Junping Liu, Zhaoyue Liu, Xinru Liu, Nan Wang, Lin Wu, Xiaoxue Xu, Wei Liu, Yajie Feng, Huanyu Zhang, Yue Zhou, Xinle Yin, Yaping Liu, Qunhong Wu, Ning Ning, Libo Liang

“…To investigate the OSAS risk with BFRs exposure, multivariate logistic regression, weighted quantile sum (WQS) regression, quantile g-computation (QGC), Bayesian kernel machine regression (BKMR) models, and restricted cubic splines (RCS) were implemented. …”
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Re-conceptualizing trafficking-in-persons victimization using latent class analysis: Results from a community study in Cape Town, South Africa by Annah K. Bender, Erica L. Koegler, Edna G. Rich, Nicolette V. Roman, Rumi Kato Price

“…An interdisciplinary, international research team thus launched a study to estimate the prevalence of human trafficking using a computational algorithm in the Western Cape of South Africa. …”
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Fragment optimized chalcone derivatives targeting OmpA protein as a therapeutic approach against multidrug resistant Acinetobacter baumannii by Muhammad Naveed, Amina Abid, Tariq Aziz, Ayesha Saleem, Arooj Arshad, Khushbakht Javed, Hafiz Muzzammel Rehman, Ghulam Nabi, Mitub Al-harbi, Abdullah F. Alasmari

“…Overall, chalcone derivatives show promise as antibacterial agents against A. baumannii, with computational analyses aiding in compound selection and optimization. …”
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Single-cell and spatial transcriptomics reveal SPP1-CD44 signaling drives primary resistance to immune checkpoint inhibitors in RCC by Junfeng Zhang, Qingyan Peng, Jin Fan, Fuzhong Liu, Hongbo Chen, Xing Bi, Shuai Yuan, Wei Jiang, Ting Pan, Kailing Li, Sihai Tan, Peng Chen

“…Methods We integrated single-cell RNA sequencing, spatial transcriptomics, and clinical sample analysis to investigate the tumor microenvironment and intercellular signaling. Advanced computational methods, including cell–cell communication networks, pseudotime trajectories, and gene set enrichment analysis (GSEA), were employed to uncover the underlying resistance mechanisms. …”
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Exploring when to exploit: the cognitive underpinnings of foraging-type decisions in relation to psychopathy by D. V. Atanassova, J. M. Oosterman, A. O. Diaconescu, C. Mathys, V. I. Madariaga, I. A. Brazil

“…Recruitment of various cognitive processes was estimated with a computational model and electrophysiology, and the relationships to psychopathic traits were assessed. …”
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AI-enhanced 3D-QSAR screening of fragment-based novel designed molecules targeting Phalaris minor ACCase by Bikash Kumar Rajak, Priyanka Rani, Durg Vijay Singh, Nitesh Singh

“…Leveraging artificial intelligence (AI) and machine learning (ML) in the agritech revolution, researchers are now applying advanced computational techniques to identify and design effective ACCase inhibitors. …”
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Segmentation of Any Fire Event (SAFE): A Rapid and High-Precision Approach for Burned Area Extraction Using Sentinel-2 Imagery by Shuaijun Liu, Yong Xue, Hui Chen, Yang Chen, Tianyu Zhan

“…SAFE employs a two-step localization strategy to incrementally identify burned areas and pixels in post-wildfire imagery, thereby reducing computational load and providing high-resolution wildfire impact areas. …”
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Trio-based whole-exome sequencing reveals mutations in early-onset high myopia by Ding Chen, Xiu-Feng Huang, Juan Huang, Yi-Ming Guo, Junhan Wei, Lu Ye, Yi-Xin Cai, Jiejing Bi, Fen-Fen Li

“…An exacting filtration protocol identified potential candidate mutations within acknowledged myopia-related genes and susceptibility loci. Subsequently, computational methodologies were employed for functional annotations and pathogenicity assessments.Results Our investigation identified 7 genes and 10 variants associated with HM across 7 families, including a novel mutation in the ARR3 gene (c.139C>T, p.Arg47*) and two mutations in the P3H2 gene (c.1865T>C, p.Phe622Ser and c.212T>C, p.Leu71Pro). …”
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Artificial neural network model using Levenberg Marquardt algorithm to analyse transient flow and thermal characteristics of micropolar nanofluid in a microchannel by Pradeep Kumar, Felicita Almeida, Ajaykumar AR, Qasem Al-Mdallal

“…The prominent conclusion from the analysis is that artificial neural network is sophisticated tool to predict the subsequent sequel of fluid flow and heat transport over a long period of time, reducing computational time to solve complicated fluid flow problems.…”
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RETRACTED ARTICLE: Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry by Sayed M. El Din, Adil Darvesh, Assad Ayub, Tanveer Sajid, Wasim Jamshed, Mohamed R. Eid, Syed M. Hussain, Manuel Sánchez-Chero, Sheda Méndez Ancca, Johana Milagritos Ramírez Cerna, Carmen Luisa Aquije Dapozzo

“…This article is novel in its sense that the influence of oblique magnetic force and second order velocity slippage on Carreau nano liquid and its numerical computation with help of the spectral relaxation method has never been done before. …”
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Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

“…Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. …”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…Although Orca Predation Algorithm demonstrates greater performance, it necessitates extended computing time, which future research could mitigate by exploring parallelization or hybrid methodologies. …”
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Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest by Mohsin Ali Khan, Shazim Ali Memon, Furqan Farooq, Muhammad Faisal Javed, Fahid Aslam, Rayed Alyousef

“…To avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in this study to develop an empirical model for the prediction of compressive strength of FGPC. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…Most data-driven lithium battery SOH estimation methods are computationally intensive and difficult to use in real-time in battery management system microcontrollers. …”
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Implications for cost and access of site-of-service referrals for ancillary medical services in a US Medicaid population: analysis of claims data from Maryland, USA by Maqbool Dada, Simrita Singh, Kelsey J Rydland, Chester Chambers, Vishal Mundlye, Edward Kumian, Kayode Ayodele Williams

“…We also quantified the implications of this shift on access to services, with a focus on differences in access between rural and urban patients for a Medicaid (disadvantaged) population in Maryland, USA.Design Using a dataset of all Medicaid claims records for 1 year, we identified and extracted all bundles of regulated and unregulated ancillary services. Geospatial computing was used to approximate transportation costs required to access services. …”
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3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification by Ziqian Zeng, Jianwei Wang, Lin Wu, Weikai Lu, Huiping Zhuang

“…Online continual learning in the field of autonomous driving faces several challenges: inefficient data fusion, catastrophic forgetting, insufficient computational resources, violation of road privacy and categories imbalance. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…Direct numerical simulations of fine‐scale weather are computationally too expensive for many applications. While deterministic‐based (deep‐learning or statistical) downscaling of low‐resolution climate simulations are several orders of magnitude faster than direct numerical simulations, it suffers from several limitations. …”
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Functional Outcomes After Total Knee Arthroplasty: Comparing Knee Society and Osteoarthritis Outcome Scores by Shahzaib Riaz Baloch, Syed Ata Ur Rahman, Mohammad Sohail Rafi, Eamaan Abid, Zardana Riaz

“…Conclusion: KSS and KOOS have both proven useful tools for computing functional outcomes after TKA. The results show the liveliness of taking the patient-reported outcomes into account and its objectiveness in demonstrating how effective TKA is. …”
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