Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks by Sakonporn Noree, Willmer Rafell Quinones Robles, Young Sin Ko, Mun Yong Yi

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Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains by Rajan Singh, Amrit Pal, Shruti Mishra, Abishi Chowdhury

“…Though it is challenging, anomaly detection in real-time video data has significant implications in many disciplines like public safety, education, and agriculture. …”
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Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis by Roksana Yasmin, Md. Nurun Nabi, Fazlur Rashid, Md. Alamgir Hossain

“…Additionally, the input data (load profile and solar data) is validated through statistical analysis, ensuring data reliability. …”
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A cross-sectional study on resilience and death anxiety among emergency nurses by Ayman Mohamed El-Ashry, Haitham Mokhtar Mohamed Abdallah, Shimmaa Mohamed Elsayed, Mahmoud Abdelwahab Khedr, Mona Metwally El-Sayed, Mohamed Adel Ghoneam

“…Tools The Socio-demographics Data Sheet, the Arabic Scale of Death Anxiety, and the Connor-Davidson Resilience Scale were utilized for data collection. …”
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Readiness Assessment Framework and Integrated Participatory Development Approach for Blockchain-Based Traceability Systems: Case Study in Kintamani Coffee Agroindustry Supply Chain by I Gusti Made Teddy Pradana, Taufik Djatna, Irman Hermadi, Indah Yuliasih

“…It is anticipated to apply to other case studies, offering broader implications. Future research could explore different data analysis methods or case studies to enhance these findings through sensitivity comparisons and bias analysis.…”
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Discrimination of river sandbanks for sand mining in high-mineral regions using multispectral images by Jit Mukherjee

“…Abstract Sand mining is a booming industry with significant economic and environmental implications. River sandbanks serve as critical sources for sand mining. …”
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Structural Similarity-Guided Siamese U-Net Model for Detecting Changes in Snow Water Equivalent by Karim Malik, Colin Robertson

“…We conclude with a discussion on the implications of the findings from our study of snow dynamics and climate variables using gridded SWE data, computer vision metrics, and fully convolutional deep neural networks.…”
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Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study by Wou young Chung, Jinsik Yoon, Dukyong Yoon, Songsoo Kim, Yujeong Kim, Ji Eun Park, Young Ae Kang

“…We analyzed 36,142 CXR images of 4492 patients with PTB obtained from Severance Hospital, focusing specifically on the lung region through segmentation and cropping with TransUNet. We used data from 2004 to 2020 to train the model, data from 2021 for testing, and data from 2022 to 2023 for internal validation. …”
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Development of a Success Prediction Model for Crowdfunding Based on Machine Learning Reflecting ESG Information by Jiyoung Park, Hyung Jong Na, Hyungjoon Kim

“…’ Text mining techniques were used to quantify unstructured ESG-related data, and the predictive performance of models including ESG factors was compared with models excluding them. …”
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A quantitative analysis of Final Palaeolithic/earliest Mesolithic cultural taxonomy and evolution in Europe. by Felix Riede, David N Matzig, Miguel Biard, Philippe Crombé, Javier Fernández-Lopéz de Pablo, Federica Fontana, Daniel Groß, Thomas Hess, Mathieu Langlais, Ludovic Mevel, William Mills, Martin Moník, Nicolas Naudinot, Caroline Posch, Tomas Rimkus, Damian Stefański, Hans Vandendriessche, Shumon T Hussain

“…Drawing on recent developments in computational archaeology, we here present a data-driven assessment of the existing Final Palaeolithic/earliest Mesolithic cultural taxonomy in Europe. …”
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The Effectiveness of Mindfulness-Based Interventions in the Perinatal Period: A Systematic Review and Meta-Analysis. by Billie Lever Taylor, Kate Cavanagh, Clara Strauss

“…Eight of these studies also included qualitative data. Hedge's g was used to assess uncontrolled and controlled effect sizes in separate meta-analyses, and a narrative synthesis of qualitative data was produced. …”
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The interest of Jamaican trained undergraduate physiotherapy students to provide physiotherapy services to older adults once qualified as a physiotherapist: a descriptive study by Sonja K.P. Williams

“…This study also explores the differences between students’ interest and some personal characteristics. Methods: The data used to produce this paper were part of a larger data set for a larger cross-sectional study, which had not previously been published. …”
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Overexpression of Osteopontin-a and Osteopontin-c Splice Variants Are Worse Prognostic Features in Colorectal Cancer by Daniella Mattos, Murilo Rocha, Josiane Tessmann, Luciana Ferreira, Etel Gimba

“…This study aimed to characterize the expression patterns of OPN-SVs and their potential diagnostic and prognostic implications in CRC using transcriptomic data deposited in TSVdb and TCGA. …”
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HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION by Syaiful Anam, M. Rafael Andika Putra, Zuraidah Fitriah, Indah Yanti, Noor Hidayat, Dwi Mifta Mahanani

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Healthcare utilisation and costs associated with poor access to diagnosis and treatment for children and young people with tic disorders by Tara Murphy, Rachael Hunter, Charlotte L Hall, Emma McNally, Marie Le Novere, Christopher Hollis

“…Here, we explore costs of health service use and school absenteeism from children who participated in the ORBIT trial and present these alongside the economic impact of including ORBIT within a tic service. We supplement ORBIT data with findings from two case studies.Findings The data showed that patients have care from several healthcare professionals and miss school due to accessing care for tics. …”
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Relationship Between Weight Status and Health-Related Quality of Life in School-age Children in China by Mandana Zanganeh, Peymané Adab, Bai Li, Miranda Pallan, Wei J. Liu, Lin Rong, Wei Liu, James Martin, Kar K. Cheng, Emma Frew

“… # Methods Baseline HRQOL and demographic data were collected from children recruited to the CHIRPY DRAGON obesity prevention trial in China. …”
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A New Classification Model Using a Decision Tree Generated from Hyperplanes in Dimensional Space by Benjamín Luna-Benoso, José Cruz Martínez-Perales, Úrsula Samantha Morales-Rodríguez, Rolando Flores-Carapia, Víctor Manuel Silva-García

“…One of the issues addressed by machine learning, with applications in various disciplines or fields such as the health sector and the agricultural sector among others, involves data classification. For this purpose, various models within supervised learning have been proposed and developed that allow for the classification of these data. …”
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Sea level trends along the South African coast from 1993 to 2022 using XTRACK altimetry, tide gauges, and GNSS measurements by Franck Eitel Kemgang Ghomsi, Muharrem Hilmi Erkoç, Roshin P. Raj, Atinç Pirti, Antonio Bonaduce, Babatunde J. Abiodun, Julienne Stroeve

“…We meticulously analyse trends and patterns in SLR and subsidence rates using a wealth of data from 1993 to 2022, including observations from a network of 10 reliable tide gauges and XTRACK data processed using the Coastal Altimetry Approach to minimise the shortcomings of conventional coastal altimetry data. …”
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Low-Level Social Demand Is Associated with Anxiety-Related Gamma Wave Responses in Autistic Male Youth by Vicki Bitsika, Christopher F. Sharpley, Ian D. Evans, Christopher B. Watson, Rebecca J. Williams, Kirstan A. Vessey

“…Another index of mental effort that has been found to correlate with anxious arousal is gamma wave activity, which is measured via EEG. Methods: To compare data from both of these indicators of mental effort and anxiety, a two-stage study was conducted using (1) standardized test data and (2) in vivo EEG data in a low-demand social setting. …”
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Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

“…Finally, a mathematical classification model K-NN (k-nearest neighbors type) was developed in order to identify a transfer function capable of discriminating the hyperspectral data based on a threshold value of absolute leaf humidity. …”
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