Academic Articles & Research Papers

Non-metallic iodine single-atom catalysts with optimized electronic structures for efficient Fenton-like reactions

Abstract In this study, we introduce a highly effective non-metallic iodine single-atom catalyst (SAC), referred to as I-NC, which is strategically confined within a nitrogen-doped carbon (NC) scaffold. This configuration features a distinc...

Evaluating the Psychological Impacts Related to COVID-19 of Vietnamese People Under the First Nationwide Partial Lockdown in Vietnam

This is the first time in Vietnam that people have undergone “social distancing” to minimize the spreading of infectious disease, COVID-19. These deliberate preemptive strategies may have profound impacts on the mental health of the populat...

Physical, psychological and behavioural responses of aircraft occupants to volcanic emissions

Abstract Volcanic eruptions produce plumes of ash, gas and aerosols that present a risk to aviation at all standard flight levels. Here, we investigate atmospheric dispersal of volcanic emissions, whether and how they infiltrate aircraft, a...

Conceptual approaches to the complex of restoration of the affected territories as a result of military actions in Ukraine

Aim of the study: The purpose of the study is to substantiate the conceptual approaches of the complex and to consider its main components regarding the restoration of territories affected by the war in Ukraine, with an emphasis on the inc...

Progress in Postwar International Relations

Defining and conceptualizing progress in international relations, by Emanuel Adler, Beverly Crawford, and Jack DonnellyCognitive evolution: a dynamic approach for the study of international relations and their progress, by Emanuel AdlerChan...

Human capital and the informal economy as asymmetric drivers of the ecological footprint in Bangladesh

Abstract This article assesses the impact of the shadow economy on Bangladesh’s ecological footprint and how this association is influenced by the country’s level of human capital. Using annual data from 1994 to 2020, it employs both the Li...

State of the Art and Environmental Aspects of Plant Microbial Fuel Cells’ Application

Environmental pollution is becoming ubiquitous; it has a negative impact on ecosystem diversity and worsens the quality of human life. This review discusses the possibility of applying the plant microbial fuel cells (PMFCs) technology for c...

Application of natural language processing in HAZOP reports

Handbook of Energy Efficiency and Renewable Energy

Brought to you by the creator of numerous bestselling handbooks, the Handbook of Energy Efficiency and Renewable Energy provides a thorough grounding in the analytic techniques and technological developments that underpin renewable energy u...

Canopies at public transport stops in Belgrade: An example of open public micro-spaces in the city

Micro-spaces - small-scale public city spaces - represent an important element in the structure of the city, both functionally and aesthetically. Due to their small scale, their importance is often overlooked by experts and investors. The p...

The Investigation of Impact of Complement Policy for Energy Price Policy Reform on Transport Sector in Iran by Computable General Equilibrium

With regard to the ever-increasing need for energy in current societies to satisfy various requirements, scientists and researchers from different countries, such as Iran, have a basic approach in their agenda to achieve renewable energies،...

Water mites (Acari, Hydrachnidia) of riparian springs in a small lowland river valley: what are the key factors for species distribution?

This paper examines the impact of disturbance factors—flooding and intermittency—on the distribution of water mites in the riparian springs situated in the valley of a small lowland river, the Krąpiel. The landscape factors and physicochemi...

Incorporating structural plasticity into self-organization recurrent networks for sequence learning

IntroductionSpiking neural networks (SNNs), inspired by biological neural networks, have received a surge of interest due to its temporal encoding. Biological neural networks are driven by multiple plasticities, including spike timing-depen...

Exhaust Emissions from Gasoline Vehicles with Different Fuel Detergency and the Prediction Model Using Deep Learning

Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission characteristics with different gasoline detergency, explored syn...

Deep learning for water quality

A satellite-derived, ground-measurement-independent monthly PM2.5 mass concentration dataset over China during 2000 - 2015

Following the accelerated development of urbanization and industrialization, atmospheric particulate matter has become a significant threat to public health globally. Environmental health studies usually use the mass concentration of fine p...

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...