The systematic analysis of genes related to butyrate metabolism suggests that CDKN3 could serve as a promising therapeutic target for lung adenocarcinoma treatment by Yanchao Luan, Chao Liang, Qingsong Han, Xueqin Zhou, Na Yang, li Zhao

“…Methods For the purpose of identifying butyrate metabolism-related differentially expressed genes (BMR-DEGs) in the TCGA-LUAD dataset, we introduced transcriptome data. This was followed by the implementation of the univariate Cox and LASSO analyses in order to construct a LUAD gene signature. …”
Get full text

A Structurally Flexible Occupancy Network for 3-D Target Reconstruction Using 2-D SAR Images by Lingjuan Yu, Jianlong Liu, Miaomiao Liang, Xiangchun Yu, Xiaochun Xie, Hui Bi, Wen Hong

“…Finally, we construct an experimental dataset containing 2-D SAR images and 3-D ground truth by utilizing the publicly available Gotcha echo dataset. …”
Get full text

Longer disease progression milestone-free time in people with amyotrophic lateral sclerosis treated versus not treated with intravenous edaravone: results from an administrative cl... by James D Berry, Melissa Hagan, Jeffrey Zhang, Ying Liu, Malgorzata Ciepielewska

Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment by Gazi Mohammad Imdadul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe, Rashedul Islam, M. F. Mridha, Kamruddin Nur

“…Additionally, the analysis suggests areas for further research, such as increasing the dataset, integrating additional pollutants, improving interpretability, and investigating real-world applications. …”
Get full text

An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images by Lam Thanh Hien, Pham Trung Hieu, Do Nang Toan

“…The model is developed using the OpenKBP challenge dataset, which consists of 200, 100, and 40 head and neck cancer patients for training, testing, and validation, respectively. …”
Get full text

Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

“…Moreover, the results of this study also highlight the significance of meteorological estimates from NASA’s Power project, as models successfully discerned the complex energy forecast patterns. The dataset is deemed suitable for energy forecasting for areas with sparse ground-based observatories and may serve as a baseline dataset for training the ML models.…”
Get full text

Surgical Outcomes of Trabeculectomy in Uveitic Glaucoma: A Long-Term, Single-Center, Retrospective Case-Control Study by Rina Kanaya, Riki Kijima, Yasuhiro Shinmei, Akihiro Shinkai, Takeshi Ohguchi, Kenichi Namba, Shinki Chin, Susumu Ishida

Get full text

Optimizing athletic engagement and performance of obese students: an adaptive approach through basketball in physical education by Oumayma Slimi, Oumayma Slimi, Antonella Muscella, Santo Marsigliante, Mourad Bahloul, Georgian Badicu, Abdullah F. Alghannam, Fatma Hilal Yagin

Get full text

Evaluating agreement between individual nutrition randomised controlled trials and cohort studies - a meta-epidemiological study by Julia Stadelmaier, Gina Bantle, Lea Gorenflo, Eva Kiesswetter, Adriani Nikolakopoulou, Lukas Schwingshackl

Get full text

Multivariate Statistical Analysis for the Classification of Sausages Based on Physicochemical Attributes, Using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) a... by Quang Minh Bui, Quang Trung Nguyen, Thanh Thao Nguyen, Ha My Nguyen, Thi Tinh Phung, Viet Anh Le, Ngoc Minh Truong, The Vinh Mac, Tien Dat Nguyen, Le Tuan Anh Hoang, Ha Minh Duc Tran, Van Nhan Le, Minh Duc Nguyen

“…Principal component analysis (PCA) within the framework software of XLSTAT and STATISTICA 12 was performed on the spectroscopy and elemental dataset of sausage samples. PCA visualized the distinction of 6 sausage brands on both datasets of ATR-FTIR and ICP-MS. …”
Get full text

A Pine Wilt Disease Detection Model Integrated with Mamba Model and Attention Mechanisms Using UAV Imagery by Minhui Bai, Xinyu Di, Lechuan Yu, Jian Ding, Haifeng Lin

“…The images were subjected to a preprocessing phase, during which they were transformed into the research dataset. The fusion model comprised three principal components. …”
Get full text

Association between adolescent obesity and early adulthood healthcare utilization—a two-cohort prospective study by Emilia Hagman, Vidar Halsteinli, Resthie R. Putri, Christina Hansen Edwards, Gudrun Waaler Bjørnelv, Claude Marcus, Rønnaug A. Ødegård

Get full text

Local time statistics and permeable barrier crossing: From Poisson to birth-death diffusion equations by Toby Kay, Luca Giuggioli

“…As the asymmetric permeabilities act akin to localized ratchet potentials that break spatial symmetry and detailed balance, the proposed arrangement of asymmetric barriers provides an example of a noise-induced drift without the need to time modulate any external force or create temporal correlations on the motion of a diffusing particle. …”
Get full text

Adaptive Finite-Time Disturbance Observer Based Sliding Mode Control for Dual-Motor Driving System by Tianyi Zeng, Xuemei Ren, Yao Zhang

Get full text

Management of Spittlebugs in Limpograss Pasture by Martin B. Adjei, Richard Sprenkel, Jim Selph

Get full text

SOFT SKILLS AS KEY COMPETENCIES IN HOSPITALITY HIGHER EDUCATION: MATCHING DEMAND AND SUPPLY by DANIELA WILKS, KEVIN HEMSWORTH

Get full text

A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment by Hongyi Mao, Yang Sun

“…However, hospitals tend to use these data to report their operational efficiency rather than to understand their patients. Base on a dataset of inpatients’ medical records from a Chinese general public hospital, this study applies a configuration analysis from a managerial perspective and explains inpatients management in a different way. …”
Get full text

Moderating effect of economic instability in the relationship between concentration of control and market value: empirical evidence in Latin America by Dante Baiardo C. Cavalcante Viana Junior, Daniel Ferreira Caixe, Vera Maria Rodrigues Ponte

“…For this purpose, we built an unbalanced panel dataset composed of 341 Latin American companies from six countries: Argentina, Brazil, Chile, Colombia, Mexico, and Peru. …”
Get full text

Metodyka waloryzacji przyrodniczej. Część I: Zastosowania w ochronie przyrody by Piotr Matyjasiak

Get full text