A Multivariate Analysis of the Links between Transport Noncompliance and Financial Uncertainty in Times of COVID-19 Pandemics and War

Abstract

Sanctions should improve business compliance and mitigate the risks of non-conformity. This premise motivated our research and led to very interesting results for the trinomen business performance—transport infrastructure and local development strategies—public control. We used a customized Brunswik lens model to illustrate the decision-making process based on the interactions between the analysis of sanctions in the transport sector and the projected financial judgement, as we have traditionally understood and experienced them. We clustered 186,671 cases of noncompliance sanctioned by the Romanian authorities and created a chromatic map with accents on the risks of nonconformities. We employed principal component analysis to find patterns and correlations between faulty behavior in transport activities and the evolution of financial indicators, such as exports and imports. The ROC curve was used to investigate the credibility of a possible connection between transport sanctions and the development of regional exports and imports. We found multiple challenges that interfere with the projection of a trustworthy financial judgement in transport and offer insights and recommendations for integrated local governance practices and strategies aimed at mitigating the risks of noncompliance and promoting sustainable development in transport.

Study on the Possibilities of Developing Cementitious or Geopolymer Composite Materials with Specific Performances by Exploiting the Photocatalytic Properties of TiO2 Nanoparticles

“…This behavior is not beneficial from the point of view of the electron lifetime in the conduction band and, therefore, the performance of the composite by photoactivation. In order to improve these performances of the composite, acquired by photoactivation, in terms of increasing the charge separation efficiency (production of electrons and holes) and implicitly, the duration of manifestation of the self-cleaning effect as well as the biocidal effect, after the light source is removed, the literature indicates the possibility of introducing carbon-based materials (graphene, graphene oxide, carbon particles, fullerenes, which function as absorbers, acceptors and electron carriers) [ 271 , 272 , 273 , 274 , 275 , 276 , 277 , 278 , 279 , 280 , 281 ]. Therefore, the composites will show an increased absorption of light also in the visible spectrum, this technique becoming a possibility to improve the performance of the composites, i.e., to induce the possibility of photoactivation also with incident rays with wavelength in the visible spectrum.…”

Research on the influence of digital finance on the economic efficiency of energy industry in the background of artificial intelligence

“…Regression analysis is conducted with or without control variables to examine the robustness of digital finance on the effectiveness of green economy in the energy industry 24 . The regression results of the efficiency standards of green economy and digital finance in the energy industry are shown in Fig.…”

Modeling the Chlorine Series from the Treatment Plant of Drinking Water in Constanta, Romania

“…To summarize, most results on the chlorine concentration series in water distribution systems use differential equations and a few other methods, such as artificial intelligence. Despite the last period, econometrics and hybrid methods proved their efficiency for modeling and forecast time series in different research fields, like economics [ 28 , 29 , 30 ], signal analysis [ 31 ], hydro-meteorology, environmental pollution [ 32 , 33 , 34 , 35 ], and pharmaceutics [ 36 ], they were less utilized in modeling the chlorine series at the outlet of the water treatment plants and in the water distribution systems.…”