Financial risk and renewable energy: exploring the influence of urbanization and natural resource rents across 112 countries by Rongrong Li, Qiang Wang, Jiayi Sun

“…Utilizing a global panel dataset comprising 112 countries, the study applies econometric techniques, including fixed-effects models, moderation effect models, and panel threshold models, to investigate how varying levels of financial risk impact renewable energy consumption across diverse economic and environmental contexts. …”
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Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer by Yangyang Xiao, Zhiru Zhong, Chunli Yang, Zhiying Lin

“…Download gene expression matrix and clinical data from TCGA database and GSE84437 dataset. Through independent prognostic analysis and clinical correlation analysis, 74 prognostic related genes (PRG) were screened out. …”
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Particle settling in a shear-thinning, viscoelastic fluid in the presence of wall effects by Jodie Whorton, Thomas J. Jones, James K. Russell

“…Supported by our experimental dataset, we are able to show that calculating the shear-rate based on the particle diameter length-scale corresponds to an apparent viscosity that appropriately accounts for shear-thinning effects. …”
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Hyper-resolution naturalized streamflow data for Geum River in South Korea (1951–2020) by Byeong-Hee Kim, Young-Oh Kim, Jonghun Kam

“…Our simulated naturalized data reveal decadal variability in the 1990s and an increase in day-to-day variability of the Geum River in the 2010s compared to those in the 1970s. This dataset provides physically consistent naturalized streamflow data for reference data to evaluate climate change-driven changes in streamflow for the Geum River.…”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…Our experimental results on the BraTS dataset demonstrate that our method outperforms state-of-the-art methods, yielding superior segmentation accuracy and precise risk grade prediction.…”
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A power load forecasting method using cosine similarity and a graph convolutional network by JI Shan, JIANG Wei, JING Xin

“…Finally， extensive experiments on a real-world dataset demonstrate the method’s effectiveness and robustness in forecasting both short-term and long-term load series.…”
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Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete by Navaratnarajah Sathiparan, Daniel Niruban Subramaniam

Increased Vitamin B12 Levels in Patients with Oral Cancer by Prashant Gupta, Subhash Chandra, Awanindra Kumar Jha, Tanya Khaitan, Anjani Kumar Shukla, Shantala R Naik

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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data. by Chunjie She, Hefeng Liu

“…<h4>Methods</h4>1498 patients diagnosed with CKD were enrolled from the National Health and Nutrition Examination Survey (NHANES) data spanning 2005-2010, 2013-2014, and 2017-2018. The dataset was randomly divided into a training set and a validation set in a ratio of 7:3. …”
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Assessment of Cassava Peel Ash as a Partial Replacement of Cement in Plain Concrete Production. by Byamukama, Dan

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Motivation and Performance of Primary Teachers in Gasabo District, Kigali-Rwanda. by Celestin, Habumuremyi

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Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

“…This paper offers an exhaustive account of data collection and algorithms used for data processing, ensuring the dependability and precision of the datasets obtained. Additionally, we make the raw magnetic field data, processing scripts, and visualization tools accessible to the public. …”
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Nonlinear vibration analysis of cantilever beams: Analytical, numerical and experimental perspectives by Qamar Abbas, Rab Nawaz, Haseeb Yaqoob, Hafiz Muhammad Ali, Muhammad Musaddiq Jamil

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Trends of climate variability and its association with farmers’ perceptions of climate change in Gassera district, southeastern Ethiopia by Henok W/Yohannes Aniye, Tsegaye Bekele, Walelign Worku

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Older adults do not consistently overestimate their action opportunities across different settings by Isabel Bauer, Milena S. Gölz, Lisa Finkel, Maddalena Blasizzo, Sarah E. M. Stoll, Jennifer Randerath

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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…The SVSH (SVR+SO) and SVCO (SVR+COOT) models were developed and evaluated using a comprehensive dataset of rock samples with UCS measurements. Comparative analysis demonstrates that the proposed models not only achieve significantly higher prediction accuracy but also exhibit faster convergence compared to standalone SVR. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …”
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Risky behaviours and injuries amongst Catalan children with ADHD: does pharmacological treatment improve outcomes? by Toni Mora, Rowena Jacobs, Jordi Cid, David Roche

“…Methods We use a large administrative dataset for the whole population of Catalan children in Spain who were born between 1998 and 2012. …”
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OsteoNet&#x2014;A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

“…A comparative analysis of the proposed method on ISBI 2014 challenge dataset against existing methods revealed that hand-crafted features mimicking gradients outperform those based on statistics, and CNN-based methods generally exhibit better performance. …”
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Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs. by An Pham Ngoc Nguyen, Martin Crane, Thomas Conlon, Marija Bezbradica

“…This study contributes to the literature on herding behavior by using a recent dataset, covering the most impactful events of recent years. …”
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