Energy intake insufficiency due to underestimated energy requirement by common predictive formulas can be identified by urinary amino acid levels in advanced heart failure by Yoko Sakamoto, Tomohito Ohtani, Kei Nakamoto, Fusako Sera, Shungo Hikoso, Yasushi Sakata

Subjects: Get full text

Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

Subjects: Get full text

A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features by Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao

Subjects: “…Influenza prediction…”
Get full text

Projected distribution patterns of Alpinia officinarum in China under future climate scenarios: insights from optimized Maxent and Biomod2 models by Yong Kang, Yong Kang, Fei Lin, Junmei Yin, Junmei Yin, Yongjie Han, Min Zhu, Yuhua Guo, Fenling Tang, Yamei Li

Subjects: “…species distribution prediction…”
Get full text

Comparing Soil pH Mapping from Multi-Temporal PlanetScope and Sentinel-2 Data Across Land Use Types by Ziyu Wang, Wei Wu, Hongbin Liu

Subjects: Get full text

Gastric Precancerous Lesions: From Progenitor Cell and Microsatellite Instability to Clinical Interpretation of Gastric Cancer Risk by A. V. Kononov, V. A. Rubtsov, M. N. Parygina, A. G. Shimanskaya, S. I. Mozgovoi, E. G. Pomorgailo, M. V. Markelova, Yu. A. Fedotova

Subjects: Get full text

Factors Affecting Student Academic Performance: A Combined Factor Analysis of Mixed Data and Multiple Linear Regression Analysis by Mohamed El Jihaoui, Oum El Kheir Abra, Khalifa Mansouri

Subjects: Get full text

Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

Subjects: Get full text

Single-cell transcriptomics analysis reveals dynamic changes and prognostic signature in tumor microenvironment of PDAC by Yongsheng Li, Zhilong Ding, Tingxin Cheng, Yihuai Hu, Fei Zhong, Shiying Ren, Shiyan Wang

Subjects: Get full text

A missense variant in the SOX5 gene (c.221C > T) is associated with intellectual disability by Xiujuan Yang, Zhongzhi Gan, Xiaoling Guo, Xiang Huang, Juan Liu, Yingchun Zheng, Xiaoqiang Zhou, Jingli Lian, Yue Liu, Tingting Yang, Chao Li, Fenying Chen, Fei He, Xiangmin Xu, Yasi Zhou, Qian Liu, Xingkun Yang, Fu Xiong

Subjects: Get full text

Analysis of carbon dioxide reservoir performance and optimization strategies: a case study of a carbon dioxide plant by Emmanuel Monge, Baraka Kichonge

Subjects: “…Reservoir performance prediction…”
Get full text

Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

Subjects: Get full text

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

“…Specifically, a neural network is applied as a base learner for predicting antenna parameters, resulting in increased predictive performance, achieving R², EVS, MSE, RMSE, and MAE values of 0.96, 0.998, 0.00842, 0.00453, and 0.00999, respectively. …”
Get full text

Quantification and prediction of human fetal (-)-Δ9-tetrahydrocannabinol/(±)-11-OH-Δ9-tetrahydrocannabinol exposure during pregnancy to inform fetal cannabis toxicity by Aditya R. Kumar, Lyndsey S. Benson, Erica M. Wymore, Jocelyn E. Phipers, Jennifer C. Dempsey, Lucinda A. Cort, Jashvant D. Unadkat

“…At an inhalational and oral dose of 10 mg (-)-Δ9-tetrahydrocannabinol, the model-predicted average fetal brain steady-state (-)-Δ9-tetrahydrocannabinol/(±)-11-OH-Δ9-tetrahydrocannabinol concentrations, at gestational week 15, are 3.7/7.0 nM and 0.73/8.9 nM, respectively. …”
Get full text

Structural bioinformatic study of human mitochondrial respiratory integral membrane megacomplex and its AlphaFold 3 predicted water-soluble QTY megacomplex analog by Edward Chen, Shuguang Zhang

Get full text

Hospital frailty risk score predicts graft failure severe infection and mortality in hospitalized kidney transplant recipients from 2010 to 2018 US data by Lumin Chen, Feifan Chu, Hangbin Ma, Zujie Chen, Yuning Ma, Qiwei Ji, Hao Zhou

“…HFRS stratification can be used to predict the risk of in-hospital mortality, longer LOS, graft failure, and adverse discharge. …”
Get full text

Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis by Clara K Chow, Aravinda Thiagalingam, Rohan Jayasinghe, Sarah Zaman, Stephen Bacchi, Justin Chan, Aashray Gupta, Shaun Evans, Pramesh Kovoor, Brandon Stretton, Jayme Bennetts, Ammar Zaka, Naim Mridha, Joshua Kovoor, Gopal Sivagangabalan, Cecil Mustafiz, Daud Mutahar, Shreyans Sinhal, James Gorcilov, Benjamin Muston, Fabio Ramponi, Dale J Murdoch

“…Background Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. …”
Get full text

Predictive Value of Fasting Blood Glucose for Microvascular Obstruction in Nondiabetic Patients with ST-Segment Elevation Myocardial Infarction after Primary Percutaneous Coronary Intervention by Han Wu, Ran Li, Kun Wang, Dan Mu, Jian-Zhou Chen, Xuan Wei, Xue Bao, Zhong-Hai Wei, Jun Xie, Biao Xu

“…This study aimed to determine the predictive value of FBG in MVO in nondiabetic STEMI patients. …”
Get full text

Field heterogeneity of soil texture controls leaf water potential spatial distribution predicted from UAS-based vegetation indices in non-irrigated vineyards by L. Delval, J. Bates, J. Bates, F. Jonard, F. Jonard, M. Javaux, M. Javaux

Get full text

Novel Predictive Strategy Using CA19-9 and Fecal Elastase Levels to Make Treatment Decisions for Resectable Pancreatic Cancer: A Retrospective Study by Hyung Sun Kim, Woojin Kim, Won-Gun Yun, Hye-Sol Jung, Youngmin Han, Mirang Lee, Wooil Kwon, Jin-Young Jang, Joon Seong Park

“…<b>Background</b>: Carbohydrate antigen 19-9 (CA19-9) is used as a marker to predict recurrence and survival of patients with pancreatic ductal adenocarcinoma (PDAC). …”
Get full text