|
|
|
M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii and M.K.N. Kumari
Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for...
ver más
|
|
|
|
|
|
|
Xiaomei Zhong, Yongsheng Wu, Jie Yu, Lei Liu and Haibo Niu
The formation of oil?mineral aggregates (OMAs) is essential for understanding the behavior of oil spills in estuaries and coastal waters. We utilized statistical methods (screening design) to identify the most influential variables (seven factors in tota...
ver más
|
|
|
|
|
|
|
J. D. Tamayo-Quintero, J. B. Gómez-Mendoza and S. V. Guevara-Pérez
Objective: This study aims to introduce and assess a novel AI-driven tool developed for the classification of orthodontic arch shapes into square, ovoid, and tapered categories. Methods: Between 2016 and 2019, we collected 450 digital dental models. Appl...
ver más
|
|
|
|
|
|
|
David Wheeler, Lillian Brancalion, Akitomo Kawasaki and Meaghan L. Rourke
The analysis of environmental DNA (eDNA) is a powerful and non-invasive method for monitoring the presence of species in ecosystems. However, ecologists and laboratory staff can find it challenging to use eDNA analysis software effectively due to the unf...
ver más
|
|
|
|
|
|
|
Mauro Femminella and Gianluca Reali
The need for adaptivity and scalability in telecommunication systems has led to the introduction of a software-based approach to networking, in which network functions are virtualized and implemented in software modules, based on network function virtual...
ver más
|
|
|
|
|
|
|
Carmine Massarelli and Vito Felice Uricchio
This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environm...
ver más
|
|
|
|
|
|
|
Mansour Bayazidy, Mohammad Maleki, Aras Khosravi, Amir Mohammad Shadjou, Junye Wang, Rabee Rustum and Reza Morovati
River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste dis...
ver más
|
|
|
|
|
|
|
David Mattie, Zihang Fang, Emi Takahashi, Lourdes Peña Castillo and Jacob Levman
Diffusion magnetic resonance imaging (MRI) tractography is a powerful tool for non-invasively studying brain architecture and structural integrity by inferring fiber tracts based on water diffusion profiles. This study provided a thorough set of baseline...
ver más
|
|
|
|
|
|
|
Jong-Won Lee
Enhancing the efficiency of windows is important for improving the energy efficiency of buildings. The Korean government has performed numerous building renovation projects to reduce greenhouse gas emissions and mitigate energy poverty. To reduce the cos...
ver más
|
|
|
|
|
|
|
Supakorn Harnsoongnoen, Saksun Srisai, Pongsathorn Kongkeaw and Tidarat Rakdee
This study presents an innovative methodology to augment the accuracy of gravitational acceleration (g) measurements in free fall experiments. Employing smartphones and integrating mechanical switches, our approach utilizes a built-in microphone for prec...
ver más
|
|
|
|