Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

“…For each dataset, two categories of features were defined: terrain-weather features and spatio-temporal features. …”
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An assessment of South African policy and strategic framework for the development of a sufficient, equitably distributed and well-performing health workforce for the implementation... by S V Mokoena, P Naidoo

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Using a Two-Steps Clustering and PCA Analysis for Stratified Chronic Non-Cancer Pain Care: A Retrospective Cross-Sectional Study by Peiró AM, Barrachina J, Escorial M, Aguado I, Margarit C, Grimby-Ekman A

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Exploring the prognostic role of microbial and genetic markers in lung squamous cell carcinoma by Fan Yang, Xiaodong Jia, Zihuan Ma, Siyao Liu, Chunzi Liu, Dan Chen, Xiuju Wang, Niansong Qian, Hui Ma

“…LUSC patient data from The Cancer Genome Atlas (TCGA), including microbial genus level abundance data and RNA sequencing (RNA-Seq) data, were used as a training dataset. Two other independent datasets GSE19188 and GSE157009 serve as validation datasets. …”
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“Scarlet Cloak and the Forest Adventure”: a preliminary study of the impact of AI on commonly used writing tools by Barbara Bordalejo, Davide Pafumi, Frank Onuh, A. K. M. Iftekhar Khalid, Morgan Slayde Pearce, Daniel Paul O’Donnell

“…In order to provide a dataset, the authors applied different AI-enhanced tools to a number of texts of different styles that were written prior to the development of consumer AI tools, and evaluated their impact through key metrics such as readability, perplexity, and burstiness. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…This study conducts a comparative performance analysis of the machine learning models for compressive strength prediction of FAGP using comprehensive dataset of 563 samples from 55 literature studies. …”
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Postnatal cytomegalovirus infection and its effect on hearing and neurodevelopmental outcomes among infants aged 3-10 months: A cohort study in Eastern Uganda. by Noela Regina Akwi Okalany, David Mukunya, Peter Olupot-Olupot, Martin Chebet, Francis Okello, Andrew D Weeks, Fred Bisso, Thorkild Tylleskär, Kathy Burgoine, Ingunn Marie Stadskleiv Engebretsen

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Advancing risk stratification in kidney transplantation: integrating HLA-derived T-cell epitope and B-cell epitope matching algorithms for enhanced predictive accuracy of HLA compa... by Matthias Niemann, Matthias Niemann, Benedict M. Matern, Benedict M. Matern, Gaurav Gupta, Bekir Tanriover, Fabian Halleck, Klemens Budde, Eric Spierings, Eric Spierings

“…Several algorithms of molecular compatibility have been suggested, each focusing on a specific aspect of epitope immunogenicity.MethodsConsidering reported death-censored graft survival in the SRTR dataset, we evaluated four models of molecular compatibility: antibody-verified Eplets, Snow, PIRCHE-II and amino acid matching. …”
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Impact of Oxycodone HCl Extended-release Formulary Restrictions on Extended-release Opioid Market Share, Healthcare Resource Utilization and Costs in Commercial and Medicare Plans by Rolin L. Wade, Chi-Chang Chen, Ajita P. De, Jaren C. Howard

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Epidemiology of Non-Melanoma Skin Cancer Patients Attending at Hiwa Hospital in Sulaimani City, Iraq by Bushra Mohammed Ali, Hiwa Abas Ahmed

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Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae) by Yanlei Liu, Kai Chen, Lihu Wang, Xinqiang Yu, Chao Xu, Zhili Suo, Shiliang Zhou, Shuo Shi, Wenpan Dong

“…Specifically, we determined (1) the accuracy of DNA barcoding approaches in delimiting species in Juglandaceae, (2) the minimum size of chloroplast dataset for species discrimination, and (3) minimum amount of next generation sequencing (NGS) data required for species identification. …”
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Impact of COVID-19 on metabolic parameters in patients with type 2 diabetes mellitus by Motahare Shabestari, Forouzan Salari, Reyhaneh Azizi, Akram Ghadiri-Anari, Nasim Namiranian

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Impact of Biomass Burning on Air Quality in Temuco City, Chile by Felipe Reyes, Sofía Ahumada, Francisca Rojas, Pedro Oyola, Yeanice Vásquez, Claudio Aguilera, Andres Henriquez, Ernesto Gramsch, Choong-Min Kang, Sanna Saarikoski, Kimmo Teinilä, Minna Aurela, Hilkka Timonen

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Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization by Haihui Jiang, Xijie Wang, Xiaodong Chen, Shouzan Zhang, Qingsen Ren, Mingxiao Li, Ming Li, Xiaohui Ren, Song Lin, Yong Cui

“…A predictive model was developed using LASSO regression to distinguish A4 from glioblastomas and validated with an external dataset from UCSF. Results The cohort included 201 glioblastomas (90.1%) and 22 A4 cases (9.9%). …”
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Association between Dietary Total Antioxidant Capacity and Odds of Preeclampsia: A Case-control Study by Mahshid Taherkhani, Farzaneh Montazerifar, Azita Hekmatdoost, Bahram Rashidkhani, Abolfazl Payandeh, Mansour Karajibani

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Comparative analysis of consistency of adaptations to interval interventions individualized using sport-specific techniques in well-trained soccer players by Hongjun Zhang, Sheng Li, Bingyuan Yang

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Visceral obesity augments prescription use: An analysis of the cross-sectional study of NHANES 2011-2018. by Maximino Acevedo-Fernández, Renata Ochoa Precoma, Leonardo M Porchia, Victor M Posadas, Enrique Torres-Rasgado, M Elba Gonzalez-Mejia, Esther López-Bayghen

“…<h4>Methods</h4>Data was collected from the NHANES dataset (2011-2018). Visceral adipose tissue was measured using dual x-ray absorptiometry, and VATob was defined as ≥100 cm2. …”
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Enhancing hydraulic fracturing efficiency through machine learning by Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh

“…By utilizing a comprehensive dataset from hydrocarbon fields, in this study, the application of several advanced ML models was investigated, including Artificial Neural Networks (ANNs), Random Forest (RF), and K-Nearest Neighbors (KNNs). …”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…Key structural findings from SEMs derived from the HIRD dataset indicate that each additional year in the age of the patient has a positive total effect on the adherence rate. …”
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

“…We tested our approach on the coffee dataset provided by Roboflow. The results show that ASD-YOLO has a good detection ability for coffee fruits with dense distribution and mutual occlusion under complex background, with a recall rate of 78.4%, a precision rate of 69.8%, and a mAP rate of 80.1%. …”
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