MODELING HEAT EXCHANGE DEPENDING ON THE PRANDTL NUMBER FOR VARIOUS GEOMETRIC AND REGIME PARAMETERS by I. E. Lobanov

“…The aim is to study the dependency of the distribution of integral heat transfer during turbulent convective heat transfer in a pipe with a sequence of periodic protrusions of semicircular geometry on the Prandtl number using the calculation method based on a numerical solution of the system of Reynolds equations closed using the Menter’s shear stress transport model and the energy equation on different-sized intersecting structured grids.Method. …”
Get full text

Mare Volcanism in Apollo Basin Evaluating the Mare Basalt Genesis Models on the Moon by Xiaohui Fu, Chengxiang Yin, Jin Li, Jiang Zhang, Siyue Chi, Jian Chen, Bo Li

“…The Apollo basin has been flooded and filled with large volumes of mare lavas, indicating an active volcanism history. Based on orbital data, we reveal that the Apollo basin exhibits an overall asymmetric configuration in the distribution of mare basalts as well as its topography, chemical compositions, and crustal thickness. …”
Get full text

A new risk assessment model of venous thromboembolism by considering fuzzy population by Xin Wang, Yu-Qing Yang, Xin-Yu Hong, Si-Hua Liu, Jian-Chu Li, Ting Chen, Ju-Hong Shi

“…Many studies using machine learning (ML) models to predict VTE risk overlook the impact of class-imbalance problem due to the low incidence rate of VTE, resulting in inferior and unstable model performance, which hinders their ability to replace the Padua model, a widely used linear weighted model in clinic. …”
Get full text

Demographic and professional risk factors of SARS-CoV-2 infections among physicians in low- and middle-income settings: Findings from a representative survey in two Brazilian state... by Giuliano Russo, Alex Cassenote, Bruno Luciano Carneiro Alves De Oliveira, Mário Scheffer

“…A generalized linear mixed model with a binomial distribution was used to estimate the adjusted odds ratio. …”
Get full text

Area extraction and growth monitoring of sugarcane from multi-source remote sensing images under a polarimetric SAR data compensation based on buildings by Yong Hong, Tianjin Xie, Lengkun Luo, Mi Wang, Deren Li, Qing Zhang, Ting Xu

“…Aiming at the issue of low accuracy in crop mapping and growth monitoring caused by imprecise calibration of radar time-series data, this paper proposed a Synthetic Aperture Radar (SAR) spatio-temporal error compensation method. …”
Get full text

Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

“…The institutional bottlenecks and implementation difficulties of the existing operation models are systematically analyzed. The current dilemma of balancing the public welfare and commercial aspects of parks as a public product is put forward together with the difficulties involved in park management, such as the complexity of cross-departmental coordination, and the lack of detailed policy basis and effective profit distribution system.ResultsBy constructing an “all-in-one map” of spatio-temporal park assets to achieve three-dimensional quantification of spatial assets, an inventory of the land, buildings, and facilities within parks is conducted, park plan is spatially classified, and in combination with the demand for mixed land use featuring the combination of dominance by public welfare and flexible compatibility”, park space is divided into core conservation areas, compatible utilization areas, and market revitalization areas. …”
Get full text

Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Gonghe Basin by Hong Jia, Siqi Yang, Lianyou Liu, Hang Li, Zeshi Li, Yixin Chen, Jifu Liu

“…Based on the land use data of the Gonghe Basin from 1990 to 2020, the InVEST model was applied to analyze the spatiotemporal changes in carbon storage, and the PLUS model was used to predict the changes in carbon storage under three different development scenarios in 2030. …”
Get full text

Multiwavelength Constraints on the Local Black Hole Occupation Fraction by Colin J. Burke, Priyamvada Natarajan, Vivienne F. Baldassare, Marla Geha

“…We develop a Bayesian model to infer the black hole occupation fraction assuming a broken power-law Eddington ratio distribution function. …”
Get full text

Learning to Be a Transformer to Pinpoint Anomalies by Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano

“…Indeed, learning these mappings sets forth a challenging pretext task that small-capacity models are unlikely to accomplish on out-of-distribution data such as anomalous images. …”
Get full text

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya by Ngugi Mwenda, Mathew Kosgei, Gregory Kerich, Ruth Nduati

Get full text

Revision of Two-temperature Magnetically Arrested Flows onto a Black Hole by M. Mościbrodzka

Get full text

Social entrepreneurship model in cash waqf: an evidence from Kurir Langit and Dompet Dhuafa by Rahman Ambo Masse, Andi Aderus, Andi Achruh

Get full text

Environmental preferences of green sea turtles (Chelonia mydas) for egg-laying on a fringing reef pocket beach, Mayotte Island by Sophie Morisseau, Sophie Morisseau, Matthieu Jeanson, Matthieu Jeanson, Sarah Charroux, Sarah Charroux, Yann Mercky, Charles Le Bozec, Michel Charpentier, Lucas Le Gall, Cyrielle Delvenne, Marc Girondot, Elliott Sucré, Elliott Sucré, Damien Chevallier

“…Various original environmental parameters related to vegetation and beach morphology were extracted in a GIS environment based on this geolocated data using orthophotography and digital elevation models (DEMs) created by drones prior to field deployments. …”
Get full text

The Impact of Stokvel and Banking Sector Efficiency: an Econometrics Model using (ARDL) Approach to Cointegration by Ngcobo, Lindiwe

“…Methods: Using Autoregressive Distributed-lag (ARDL) Bounds Testing Approach using quarterly time series secondary data ranging from 2009Q4 to 2020Q2 collected from the South African Reserve Bank and Old Mutual South Africa. …”
Get full text

Flood Risk Zoning Using Fuzzy Logic Model; Case Example: Lavasanat Watershed by Sayad Asghari Sareskanroud, Aqil Madadi, Maherukh Sardashti

“…Then, based on the fuzzy logic model, flood zoning maps were prepared in the ArcGIS software. …”
Get full text

Dynamic Model Selection in a Hybrid Ensemble Framework for Robust Photovoltaic Power Forecasting by Nakhun Song, Roberto Chang-Silva, Kyungil Lee, Seonyoung Park

“…The FHE is evaluated using data from four solar power plants and is benchmarked against several state-of-the-art models and conventional hybrid ensemble techniques. …”
Get full text

Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment by Md Rasel Sheikh, Paulin Coulibaly

“…Study focus: This study investigates the effectiveness of different calibration strategies for hydrological modeling in regulated watersheds. Using the semi-distributed RAVEN models, it explores single-site versus multi-site, single-variable versus multi-variable, and single-objective versus multi-objective calibration schemes. …”
Get full text

Does capital efficiency influence economic growth in Bangladesh? Application of the Harrod-Domar model by Sakib Bin Amin, Bismi Iqbal Samia, Farhan Khan

“…Purpose – The main purpose of this paper is to analyse the influence of capital efficiency on the economic growth of Bangladesh using the Harrod-Domar (H-D) model. Design/methodology/approach – We use annual data from 1980 to 2019 for this paper. …”
Get full text

A Comprehensive Framework for Monitoring and Providing Early Warning of Resource and Environmental Carrying Capacity Within the Yangtze River Economic Belt Based on Big Data by Cheng Tong, Yanhua Jin, Bangli Liang, Yang Ye, Haijun Bao

“…The Yangtze River Economic Belt (YREB), spanning 11 provinces and municipalities across China, is of paramount importance due to its high economic development and strategic role in national distribution. However, the YREB, which has experienced rapid economic growth, faces challenges resulting from its previously expansive development model, including regional resource and environmental issues. …”
Get full text

Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…Abstract Real‐world data always exhibit an imbalanced and long‐tailed distribution, which leads to poor performance for neural network‐based classification. …”
Get full text