Results 81 to 90 of about 2,892 (184)

Association between Relative Fat Mass and Cardiovascular Disease in Middle-aged and Elderly Population: a Cross-sectional and Longitudinal Study Based on CHARLS [PDF]

Zhongguo quanke yixue
Background In recent years, an association has been found between the relative fat mass (RFM) and cardiovascular disease (CVD) . However, nationwide cohort studies on RFM and the risk of CVD in the Chinese population are scant.
CHEN Huilong, LIAO Yunchu, LIU Yuwei, KONG Zhenghui, HUANG Xinghui, XU Jiahui, QI Na, WANG Yuanping, LIANG Wenjian
doaj   +1 more source

A Catchment‐Based Global Model of River Discharge and Flow Velocity for Earth System Models

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract The representation of river flows in Earth System Models (ESMs) is crucial for understanding water resources availability, contaminant transport, and the impacts of climate change on river systems. In this study, we introduce a global runoff routing model founded on hydraulic geometry principles and hydrologic catchments, specifically designed
Yujin Zeng, Randal D. Koster, Rolf H. Reichle, Biljana Orescanin, Jana Kolassa, P. C. D. Milly   +5 more
wiley   +1 more source

Association between relative fat mass and gallstones: a cross-sectional study based on NHANES 2017–2020

Frontiers in Nutrition
BackgroundGallstones are a common gastrointestinal disease worldwide, associated with significant public health burdens. Obesity and fat distribution are recognized as major risk factors for gallstone formation, yet traditional anthropometric indices ...
Chaofeng Gao, Yanan Li, Xuan Ren, Wei Han   +3 more
doaj   +1 more source

Active Dust Devils in the Rosalind Franklin Rover Landing Site in Oxia Planum, Mars

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The Rosalind Franklin rover will land in Oxia Planum, Mars, in the second half of 2030. The mission relies on solar arrays to provide electrical power to the rover, so knowledge about dust‐clearing rates is important for science operations.
P. M. Grindrod, E. A. Favaro, M. R. Balme, M. R. Patel   +3 more
wiley   +1 more source

Customer Loyality Segmentation with RFM Model at PCP Cafe

Jurnal Ekonomika Dan Bisnis (JEBS)
The intense competition in the business sector motivates every business unit to manage their services, especially towards their customers, to the fullest. One of them is to increase customer loyalty by segmenting or grouping each customer into several clusters and determining the appropriate marketing strategy for each of these groups.
Rahmadeni Rahmadeni, Jerry Heikal
openaire   +1 more source

Proposal of a Geometric Calibration Method Using Sparse Recovery to Remove Linear Array Push-Broom Sensor Bias

Sensors, 2019
The rational function model (RFM) is widely used in the most advanced Earth observation satellites, replacing the rigorous imaging model. The RFM method achieves the desired calibration performance when image distortion is caused by long-period errors ...
Jun Chen, Zhichao Sha, Jungang Yang, Wei An   +3 more
doaj   +1 more source

Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity

Obesity Reviews, Volume 27, Issue 10, October 2026.
ABSTRACT Excess adiposity is not a recently developed problem but has existed since at least the upper Paleolithic, allowing evolutionary selection pressures to adapt the physiology of the pregnant woman and the feto‐placental unit for maternal and fetal protection.
Gernot Desoye, Ursula Hiden, Evelyn Jantscher‐Krenn, Herbert Fluhr, Jonathan C. Wells, Sonja Entringer, Mireille N. M. van Poppel   +6 more
wiley   +1 more source

A Comparison of the Performance of Bias-Corrected RSMs and RFMs for the Geo-Positioning of High-Resolution Satellite Stereo Imagery

Remote Sensing, 2015
High-resolution stereo satellite imagery is widely used in environmental monitoring, topographic mapping, and urban three-dimensional (3D) reconstruction.
Zhonghua Hong, Xiaohua Tong, Shijie Liu, Peng Chen, Huan Xie, Yanmin Jin   +5 more
doaj   +1 more source

A Machine Learning Model for Local Market Prediction Using RFM Model

Elinvo (Electronics, Informatics, and Vocational Education)
This study explores the application of machine learning for local market prediction in e-commerce. By leveraging the RFM segmentation method, the model predicts product sales based on user shopping patterns. The RFM score, calculated using recency, frequency, and monetary values of customer purchases, segments customers into distinct categories.
Muhammad Yahya, Jumadi Mabe Parenreng, Fathahillah Fathahillah, Abdul Wahid, M. Syahid Nur Wahid, Muhammad Fajar B   +5 more
openaire   +1 more source

Comparing Random Forest and Regression Models for Dust Storm Assessment in Kermanshah Province, Iran

Anthropogenic Pollution
Identifying dust sources is essential for effective management. This study employs remote sensing and machine learning techniques, specifically Random Forest Model (RFM) and Multiple Linear Regression (MLR), to identify dust production areas in ...
Mehranoosh Gholipour, Maryam Kiani Sadr, Bahareh Lorestani, Mehrdad Cheraghi, Soheil Sobhanardakani   +4 more
doaj   +1 more source