Exploring biomarkers and molecular mechanisms of Type 2 diabetes mellitus promotes colorectal cancer progression based on transcriptomics by Simin Luo, Yuhong Zhu, Zhanli Guo, Chuan Zheng, Xi Fu, Fengming You, Xueke Li

“…The diagnostic performance was assessed by supplementing external datasets to draw ROC curves on the diagnostic model. …”
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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…While long-read sequencing offers superior accuracy for SV detection, short-read sequencing remains essential due to practical and cost considerations, as well as the need to analyze existing short-read datasets. Numerous algorithms for short-read SV detection exist, but none are universally optimal, each having limitations for specific SV sizes and types. …”
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BUSINESS ENVIRONMENT - THE CASE OF WESTERN BALKAN COUNTRIES by Zijad Džafić

“…A special accent in this paper is put on many international reports and datasets relevant to the assessment of business environment in this region. …”
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How to Run Linear Mixed Effects Analysis for Pairwise Comparisons? A Tutorial and a Proposal for the Calculation of Standardized Effect Sizes by Marc Brysbaert, Dries Debeer

“…To facilitate implementation, we analyze toy datasets with R and jamovi. This tutorial gives researchers a good foundation for LME analyses of simple 2 × 2 designs and paves the way for tackling more complicated designs.…”
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Human-environment interaction during the Holocene in Eastern South America: Rapid climate changes and population dynamics. by Astolfo G M Araujo, Letícia Cristina Correa, Glauco Constantino Perez, Enrico Dalmas Di Gregorio, Mercedes Okumura

“…However, as expected when larger datasets are available, it is possible to perceive oscillations in the archaeological signal that suggest reoccupation of some areas. …”
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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

“…Experiments conducted on the NASA Turbofan Engine Degradation and UCI Hydraulic Systems datasets demonstrate that BD-IoTQNet outperforms existing models in accuracy, precision, and data quality improvement, with reduced latency and enhanced robustness under noisy and missing data conditions. …”
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CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics by Jerome J. Choi, John Svaren, Daifeng Wang

“…Prediction performance of our models is evaluated through holdout data and additional datasets, and an ablation study is also conducted. …”
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EEG Transformer for Classifying Students’ Epistemic Cognition States in Educational Contexts by Rosanna Yuen-Yan Chan

“…This study addresses this limitation by employing transformers and publicly available electroencephalography (EEG) datasets to classify students’ epistemic cognition states. …”
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BUSINESS ENVIRONMENT - THE CASE OF WESTERN BALKAN COUNTRIES by Zijad Džafić

“…A special accent in this paper is put on many international reports and datasets relevant to the assessment of business environment in this region. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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A report on the physicochemical and antioxidant properties of three Indonesian forest honeys produced by Apis dorsata by Mahani, Pamungkas Rizki Ferdian, Habil Muhammad Ghibran, Amirah Fathia Herlina, Siti Nurhasanah, Nunung Nurjanah, Rizki Rabeca Elfirta, Avry Pribadi, Raden Lia Rahadian Amalia, I Made Samudra

“…However, the small sample size limits generalizations, and further research with larger datasets is essential for validation.…”
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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

“…Specifically, the coefficient of determination (R²) values for the training, testing, and total datasets are 0.9994, 0.9920, and 0.9985, respectively, demonstrating that AGWO is the most precise optimizer among the studied meta-heuristic algorithms.…”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

“…Furthermore, Arabic datasets for ABSA are reviewed as well. Specifically, this article analyzes studies published between 2019 and April 2024. …”
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Comprehensive Study on Zero-Shot Text Classification Using Category Mapping by Kai Zhang, Qiuxia Zhang, Chung-Che Wang, Jyh-Shing Roger Jang

“…Approaches that fine-tune smaller models using label mappings and existing datasets for zero-shot classification are simpler but suffer from weaker generalization capabilities. …”
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A generalized diffusion model for remaining useful life prediction with uncertainty by Bincheng Wen, Xin Zhao, Xilang Tang, Mingqing Xiao, Haizhen Zhu, Jianfeng Li

“…Linear and nonlinear degradation datasets from real working environments are used to validate the proposed model. …”
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Quantification of nipple size and shape among an ethnically diverse sample of US women by Peter Wildfeuer, Alexis Alban, Bob Worrell, Shilo Ben Zeev, Judith Shamian, Mike Woolridge

“…Viable data were secured from 78% of the scans undertaken, yielding 538 datasets from 329 participants. Outcome: This is the largest study undertaken with a non-clinical, ethnically diverse population of women, employing a novel scanning process and applying a novel purpose-built algorithm—with a view to characterizing the shape and size of the nipple-areola complex, by collecting normative data on nipple geometry.…”
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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…However, real-world applications often face challenges like partially labeled datasets, where only a few locations have certain expert annotations, leaving large portions of unlabeled data unused. …”
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GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

“…Experimental results on various graph benchmark datasets demonstrate GTAT outperforms recent state-of-the-art methods. …”
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Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review by John Gabriel O. Marko, Ciprian Daniel Neagu, P. B. Anand

“…Results This research revealed disparities in AI outcomes, accessibility, and representation among diverse groups due to biased data sources and a lack of representation in training datasets, which can potentially exacerbate inequalities in care delivery for marginalized communities. …”
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Defining and measuring suspicion of sepsis: an analysis of routine data by Charles Vincent, Bethan Page, Matthew Inada-Kim, Imran Maqsood

“…Objectives To define the target population of patients who have suspicion of sepsis (SOS) and to provide a basis for assessing the burden of SOS, and the evaluation of sepsis guidelines and improvement programmes.Design Retrospective analysis of routinely collected hospital administrative data.Setting Secondary care, eight National Health Service (NHS) Acute Trusts.Participants Hospital Episode Statistics data for 2013–2014 was used to identify all admissions with a primary diagnosis listed in the ‘suspicion of sepsis’ (SOS) coding set. …”
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