|
|
|
|
|
Gabija Gru?inskiene
Pág. 166 - 177
Results of the research show that it is very important to adapt programs of professional rehabilitation for persons with disabilities according demands of labor market, to increase emp-loyers' involvement in the initial recruitment process, to provide em...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fiesta Octaviani,Renaldi Renaldi,Sabrina Oktaria Sihombing
Pág. 238 - 248
Abstract: This study aims to examine the factors that have the potential to influence student?s entrepreneurial intentions using the TPB theory model along with several other factors (i.e., attitude towards entrepreneurship, subjective norms, perceived b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adriana Burlea-Schiopoiu and Norina Popovici
Young people from Generation Z are a subject of analysis for researchers because they will prevail in the labor market as successors of the Millennial generation. Taking into account the imprint that digitization has left on the behavior of Generation Z,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban...
ver más
|
|
|
|
|
|
|
|
|
|
|
Azizah Assiri and Hassen Sallay
Opportunistic mobile social networks (OMSNs) have become increasingly popular in recent years due to the rise of social media and smartphones. However, message forwarding and sharing social information through intermediary nodes on OMSNs raises privacy c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu
The COVID-19 pandemic has had a profound impact on people?s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiawei Han, Qingsa Li, Ying Xu, Yan Zhu and Bingxin Wu
Artificial intelligence-generated content (AIGC) technology has had disruptive results in AI, representing a new trend in research and application and promoting a new era of AI. The potential benefits of this technology are both profound and diverse. How...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah Sallehhuddin Abdullah Salim, Norzarina Md Yatim and Salmi Md Zahid
This study was conducted in Malaysia to examine the effectiveness of the microfinance programme for urban single mother entrepreneurs in MSMEs during the COVID-19 pandemic and Movement Control Order (MCO). Implemented as a response to the pandemic, the M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mehran Vahedi Nikbakht, Mohammad Gheibi, Hassan Montazeri, Reza Yeganeh Khaksar, Reza Moezzi and Amir Vadiee
Construction projects, especially those for commercial purposes, require thorough planning and control to ensure success within predetermined budgets and timelines. This research, conducted in Mashhad, Iran, employs the analytic hierarchy process (AHP) a...
ver más
|
|
|
|
|
|