Sleep fragmentation and hypoxaemia as key indicators of cognitive impairment in patients with obstructive sleep apnoea by Thomas Georgeson, Lacey Atkins, Alex Zahnleiter, Philip I Terrill, Eamonn Eeles, Elizabeth J Coulson, Irene Szollosi

“…Methods We analysed existing cross-sectional datasets that measured the performance of 89 adult patients (aged 50–85 years) with OSA on the ACE-R cognitive test. …”
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Impact of medical resources in residential area on unmet healthcare needs: Findings from a multi-level analysis of Korean nationwide data by Seo Yeong Choi, Il Yun, Jong Youn Moon

“…Methods: Two publicly available datasets were utilized: The Korean Community Health Survey at the individual-level and the Korean medical utilization statistics at the regional-level. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…Experimental results demonstrate the effectiveness of the proposed method on two datasets.Clinical impact: This work aims to design an automated framework for explaining medical images to evaluate the health status of individuals, thereby facilitating their broader application in clinical settings.Clinical and Translational Impact Statement: In our preclinical research, we develop an automated system for generating diagnostic reports. …”
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ANALYSIS OF MAXILLARY FRACTURE PATIENTS PROFILE IN A TERTIARY GENERAL HOSPITAL (2018-2020) by I Dewa Gde Daniswara Suarta, Agus Santoso Budi, Rosy Setiawati, Magda Rosalina Hutagalung

“…Soetomo General Academic Hospital showed lower incidence rates of post-surgical issues like malocclusion, infections, and exposed plates when compared to other current datasets.…”
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Study on Intelligent Classing of Public Welfare Forestland in Kunyu City by Meng Sha, Hua Yang, Jianwei Wu, Jianning Qi

“…The main contributions of this work are as follows: A machine learning model was developed using integrated data from the Third National Land Survey of China, including forestry, grassland, and wetland datasets. Unlike previous approaches, the SVM model is optimized with Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) to automatically determine classification parameters, overcoming the limitations of manual rule-based methods. …”
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Nutrigenomics: A promising frontier in chronic disease prevention by Seyed Morteza Hosseiniara, Solmaz Sadat Hosseini Zijoud

“…These include the integration of diverse and complex datasets from various sources -such as genomics, metabolomics, and proteomics- the development of robust bioinformatics tools for data analysis and interpretation, and careful consideration of ethical implications, including privacy concerns and the potential for genetic discrimination.Moving forward, the integration of multi-omics approaches -encompassing a comprehensive analysis of an individual's genetic, epigenetic, metabolic, and proteomic profiles- will be crucial for advancing the field of nutrigenomics. …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…Automating and digitizing histopathological images of these plaques into tissue specific (lipid and calcified) regions can help us compare histologic findings to in vivo imaging and thereby enable us to optimize medical treatments or interventions for patients based on the composition of plaques. Lack of public datasets and the hypocellular nature of plaques have made applying deep learning to this task difficult. …”
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Causal Effects of Sleep Traits on Angina Pectoris: Mediation by Cardiovascular Risk Factors by Zeng C, Ke Y, Li H, Zhang C, Chen J, Chen M

“…Our study aims to declare the causality of sleep traits on AP by Mendelian randomization (MR) analyses.Methods: Genome-wide association study (GWAS) data of sleep traits (sleep duration, insomnia, nap during day, chronotype, getting up in morning, narcolepsy, snoring) were obtained from the UK Biobank. The AP datasets came from an analysis containing samples from the UK biobank, FinnGen, and BioBank Japan. …”
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Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach by Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail

“…The contributions of this research were validated and assessed using benchmark datasets. The experiments demonstrated the superior defense ability, against data reconstruction attacks, of the proposed approach in comparison with relevant state-of-the-art approaches. …”
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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ by Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu

“…The authors use three classification evaluation metrics and seven effort‐aware metrics to assess the performance of methods on 11 PROMISE datasets comprehensively. The results show that (1) The classification before sorting (CBS+) defect density calculation strategy achieves the best overall performance. (2) Using balanced distribution adaption (BDA) and joint distribution adaptation (JDA) with the K‐nearest neighbour classifier to build the EACPDP model can find 15% and 14.3% more defective modules and 11.6% and 8.9% more defects while achieving the acceptable initial false alarms (IFA). (3) Better comprehensive classification performance of the methods can bring better EACPDP performance to some extent. (4) A flexible adjustment of the defect threshold λ of the CBS+ strategy contribute to different goals. …”
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Making sense of the L-shaped pore pressure ramps in Brunei: Compression-induced vertical fluid flow in the basin and its impact on the petroleum system by Udai Bhan Rai, Aminul Islam, Nick Hogg Mascall, Mohamed Ragab Shalaby

“…Overpressure prediction for exploratory drilling has become robust in most basins with increasing well control, high-quality seismic datasets, and proactive real-time overpressure monitoring while drilling. …”
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In Praise of Diversity in Participatory Heritage Planning Empowered by Artificial Intelligence: Windcatchers in Yazd by Mahda Foroughi, Tong Wang, Ana Pereira Roders

“…However, effectively involving diverse stakeholders and capturing the cultural significance they attribute to heritage remains a challenge, particularly when dealing with extensive datasets and multiple stakeholders. Although automated methods have shown potential in fields like digital humanities, their application in heritage planning is still limited. …”
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Key wound healing genes as diagnostic biomarkers and therapeutic targets in uterine corpus endometrial carcinoma: an integrated in silico and in vitro study by Fuchuan Jiang, Sajjad Ahmad, Sadia kanwal, Yasir Hameed, Qian Tang

“…Validation using TCGA datasets revealed consistent downregulation of these genes in UCEC samples, corroborated by immunohistochemical staining. …”
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An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique by Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng

“…Some experiments on datasets such as infrared small object detection (IR-SOD) and infrared small target detection 1K(IRSTD-1K), etc. have been executed to verify the proposed algorithm; and the mean average precision of 94.0% and 69% under the condition of threshold at 0.5 and over a range from 0.5 to 0.95 is obtained, respectively. …”
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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

“…We present a systematic review of 17 mainstream light field spatial super-resolution techniques, evaluating their performance across seven public datasets. Integrating experimental results, we specifically analyze the performance of deep learning-based super-resolution algorithms at various magnification levels. …”
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Distance of flight of cosmic-ray muons to study dynamics of the upper muosphere by H. K. M. Tanaka, H. K. M. Tanaka, H. K. M. Tanaka

“…Since the muopause is the region spanning the area between the upper troposphere and the lower stratosphere, the potential of the current distant of flight (DOF) approach needs to be further investigated by cross-comparing related case studies and other atmospheric climate datasets.</p>…”
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QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism by Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

“…Experimental results on real datasets demonstrate that the model can reasonably impute the missing values in QAR data with excellent results.…”
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MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

“…Extensive experiments on commonly used image super-resolution datasets further validated the effectiveness of the network.…”
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Inpatient service utilization amongst infants diagnosed with Respiratory Syncytial Virus infection (RSV) in the United States. by Jason R Gantenberg, Kathryn D Thompson, Robertus van Aalst, David M Smith, Megan Richards, Christopher B Nelson, William V La Via, Sandra S Chaves, Angela M Bengtson, David A Savitz, Andrew R Zullo

“…<h4>Methods</h4>In this retrospective observational study, we analyzed three different administrative claims datasets to examine healthcare service utilization during RSV hospitalizations among infants. …”
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Crotonylation-Related Prognostic Model of Esophageal Squamous Cell Carcinoma Based on Transcriptome Analysis and Single-Cell Sequencing Analysis by Lin RY, Chen RP, Lin FQ

“…This study aimed to investigate the role of crotonylation-related genes (CRGs) in ESCC using bioinformatics approaches.Methods: We included three ESCC datasets and 24 CRGs. Differentially expressed genes (DEGs) from TCGA-ESCA were intersected with key module genes related to CRGs to identify candidate genes. …”
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