48   Artículos

 
en línea
Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado    
Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on infor... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Syed As-Sadeq Tahfim and Yan Chen    
Severe and fatal crashes involving large trucks result in significant social and economic losses for human society. Unfortunately, the notably low proportion of severe and fatal injury crashes involving large trucks creates an imbalance in crash data. Mo... ver más
Revista: Information    Formato: Electrónico

 
en línea
Roberto Besteiro, Tamara Arango, Manuel R. Rodríguez and María D. Fernández    
This study characterizes the growth of weaned Large White × Landrace hybrid piglets from 6 to 20 kg live body weight (BW) under real farm conditions. Batches of 50 castrated male pigs and 50 gilts were weighed repeatedly over two 6-week breeding cycles. ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Amanda L. Luo, Akshay Ravi, Simone Arvisais-Anhalt, Anoop N. Muniyappa, Xinran Liu and Shan Wang    
(1) One in four hospital readmissions is potentially preventable. Machine learning (ML) models have been developed to predict hospital readmissions and risk-stratify patients, but thus far they have been limited in clinical applicability, timeliness, and... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Ahmad Reda Alzighaibi    
Currently, the primary concerns on the Internet are security and privacy, particularly in encrypted communications to prevent snooping and modification of Domain Name System (DNS) data by hackers who may attack using the HTTP protocol to gain illegal acc... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang    
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lei Yan, Bingzhong Yang, Peng Zhang, Jie Li and Teng Wang    
Experiments were conducted to assess the selectivity of diamond mesh codends in capturing largehead hairtail (Trichiurus lepturus) in the demersal trawl fishery of the Beibu Gulf, located in the South China Sea. The selectivity experiments involved four ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo and Wen Nie    
Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Han Hu, Changming Wang, Zhu Liang, Ruiyuan Gao and Bailong Li    
Landslides frequently occur because of natural or human factors. Landslides cause huge losses to the economy as well as human beings every year around the globe. Landslide susceptibility prediction (LSP) plays a key role in the prevention of landslides a... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Seongkeun Park and Jieun Byun    
Background: Post-prostatectomy incontinence (PPI) is a major complication that can significantly decrease quality of life. Approximately 20% of patients experience consistent PPI as long as 1 year after radical prostatectomy (RP). This study develops a p... ver más
Revista: Applied Sciences    Formato: Electrónico

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