Finite Element Analysis of Manufacturing Deformation in Polymer Matrix Composites.

This paper introduces a unique finite element analysis (FEA) technique designed to predict elastic response in polymer matrix composites (PMCs). Extensive research has been conducted to model the manufacturing process of multiple 'L'-shaped components, fabricated from SPRINT materials (GLP 43 and GLP 96) at two thicknesses (15 mm and 25 mm). Three distinct FEA methodologies were utilised to determine the impact of thermal loads and rigid fixtures.

Disaggregated energy consumption, industrialization, total population, and ecological footprint nexus: evidence from the world's top 10 most populous countries.

High population, energy consumption, industrialization, and environmental degradation are inherently linked, making the study of ecological footprints in the most populous countries crucial for understanding their environmental impact and guiding efforts to minimize ecological degradation through sustainable resource management and conservation. Therefore, this study examines the effects of disaggregated energy consumption, industrialization, and total population on the ecological footprint of the world's top 10 most populous countries namely Bangladesh, Brazil, China, India, Indonesia, Mexico, Nigeria, Pakistan, Russia, and the USA, using data for the period of 1990-2020. The research employs Kao and Pedroni techniques of cointegration to determine whether the variables are cointegrated in the long run.

Evaluation of radioactivity in soil and rock samples from an undiscovered sea beach in the southeastern coastline of Bangladesh and associated health risk.

This study marks the first-ever assessment of radiological hazards linked to the sands and rocks of Patuartek Sea Beach, situated along one of the world's longest sea beaches in Cox' Bazar of Bangladesh. Through the utilization of an HPGe detector, a comprehensive analysis of the activity concentrations of Ra, Th, and  K was conducted, and their activity ranged from 7 to 23 Bq/kg, 9-58 Bq/kg, and 172-340 Bq/kg, respectively, in soils, and 19-24 Bq/kg, 27-39 Bq/kg, and 340-410 Bq/kg, respectively, in rocks. Some sand samples exhibited elevated levels of Th, while the rock samples displayed higher levels of  K compared to the global average.

The roles of renewable energy, globalization, population expansion and deliberative democracy on Sustainable Development in South Asia.

South Asian region is extremely vulnerable to climate change which hampers its attainment of the sustainable development goals (SDGs). This study explores how sustainable development of South Asian nations is affected by the clean or renewable energy consumption, globalization, population growth and deliberative democracy. To tackle the effects of shocks within the cross-sectional units as well as to account for endogeneity, this study utilizes Common Correlated Effects Mean Group-Generalized Method of Moments (CCE-GMM) estimation technique proposed by Neal (2015).

Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda.

The COVID19 pandemic has impacted the global economy, social activities, and Electricity Consumption (EC), affecting the performance of historical data-based Electricity Load Forecasting (ELF) algorithms. This study thoroughly analyses the pandemic's impact on these models and develop a hybrid model with better prediction accuracy using COVID19 data. Existing datasets are reviewed, and their limited generalization potential for the COVID19 period is highlighted.

Development of Nanocomposite Coatings.

This Special Issue in , "Development of Nanocomposite Coatings", was set up with the aim to provide authors with an opportunity to showcase their latest developments in this field [...

Further Investigations and Parametric Analysis of Microstructural Alterations under Rolling Contact Fatigue.

Bearing elements under rolling contact fatigue (RCF) exhibit microstructural features, known as white etching bands (WEBs) and dark etching regions (DERs). The formation mechanism of these microstructural features has been questionable and therefore warranted this study to gain further understanding. Current research describes mechanistic investigations of standard AISI 52100 bearing steel balls subjected to RCF testing under tempering conditions.

Experimental Study on the Effect of Micro-Texture on EHL Point-Contact Film Thickness Subject to Sliding Conditions.

Processing texture on contact surfaces can improve the friction performance of mechanical comments. In this research, micro-dimple textures with various parameter were processed on a steel ball's surface with a picosecond laser. Then, the EHL (elastohydrodynamic lubrication) oil film thickness was measured on an optical ball-on-disc tribometer subjected to pure sliding conditions.

Design, Synthesis, and Biological Evaluation of Novel Dihydropyridine and Pyridine Analogs as Potent Human Tissue Nonspecific Alkaline Phosphatase Inhibitors with Anticancer Activity: ROS and DNA Damage-Induced Apoptosis.

Small molecules with nitrogen-containing scaffolds have gained much attention due to their biological importance in the development of new anticancer agents. The present paper reports the synthesis of a library of new dihydropyridine and pyridine analogs with diverse pharmacophores. All compounds were tested against the human tissue nonspecific alkaline phosphatase (-TNAP) enzyme.

Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark.

Vision-based fire detection systems have been significantly improved by deep models; however, higher numbers of false alarms and a slow inference speed still hinder their practical applicability in real-world scenarios. For a balanced trade-off between computational cost and accuracy, we introduce dual fire attention network (DFAN) to achieve effective yet efficient fire detection. The first attention mechanism highlights the most important channels from the features of an existing backbone model, yielding significantly emphasized feature maps.

A Multiscale Overview of Modelling Rolling Cyclic Fatigue in Bearing Elements.

During service, bearing components experience rolling cyclic fatigue (RCF), resulting in subsurface plasticity and decay of the parent microstructure. The accumulation of micro strains spans billions of rolling cycles, resulting in the continuous evolution of the bearing steel microstructure. The bearing steel composition, non-metallic inclusions, continuously evolving residual stresses, and substantial work hardening, followed by subsurface softening, create further complications in modelling bearing steel at different length scales.

Inequality consequences of natural resources, environmental vulnerability, and monetary-fiscal stability: a global evidence.

Despite making significant progress in reducing poverty over the last several decades, the world has witnessed persistent surge in global inequality. The aim of this study is to investigate the relationship between natural resource, environmental vulnerability, monetary-fiscal stability, and inequality in a global perspective during 2005 to 2019 for 61 countries. We distinguish between consumption and income inequality to see whether the variables under study have different implications for different measurement of inequality.

Tourism adaptability amid the climate change and air pollution in BRICS: a method of moments quantile regression approach.

The main objective of this paper is to look at how environmental degradation in the form of climate change and air pollution affect international tourism for five countries such as Brazil, Russia, India, China, and South Africa (BRICS) over the years 1990-2019. Other independent variables include information and communication technology (ICT) and democracy. We also look at the role of environmental regulation to see the validity of porter hypothesis in the tourism sector.

Fluorenone-Based Fluorescent and Colorimetric Sensors for Selective Detection of I Ions: Applications in HeLa Cell Imaging and Logic Gate.

Fluorenone-based fluorescent and colorimetric sensors and have been developed that displayed selective detection of iodide ions in the presence of interferences. Sensors displayed the fluorescence emission enhancement response toward I with detection limits of 8.0 and 11.

WEENet: An Intelligent System for Diagnosing COVID-19 and Lung Cancer in IoMT Environments.

The coronavirus disease 2019 (COVID-19) pandemic has caused a major outbreak around the world with severe impact on health, human lives, and economy globally. One of the crucial steps in fighting COVID-19 is the ability to detect infected patients at early stages and put them under special care. Detecting COVID-19 from radiography images using computational medical imaging method is one of the fastest ways to diagnose the patients.

Fluorene-Based Fluorometric and Colorimetric Conjugated Polymers for Sensitive Detection of 2,4,6-Trinitrophenol Explosive in Aqueous Medium.

Nitroaromatic explosives are a class of compounds that are responsible for various health hazards and terrorist outrages. Among these, sensitive detection of 2,4,6-trinitrophenol (TNP) explosive has always been highly desirable considering public health and national security. In this regard, three fluorene-based conjugated polymers (, , and ) were synthesized through the Suzuki-Miyaura coupling reaction and were found to be highly sensitive for fluorescence detection of TNP with detection limits of 3.

Vision Sensor-Based Real-Time Fire Detection in Resource-Constrained IoT Environments.

Fire detection and management is very important to prevent social, ecological, and economic damages. However, achieving real-time fire detection with higher accuracy in an IoT environment is a challenging task due to limited storage, transmission, and computation resources. To overcome these challenges, early fire detection and automatic response are very significant.

Semi Salix Leaf Textured Gas Mechanical Face Seal with Enhanced Opening Performance.

Seal performance of a novel gas mechanical face seal with semi salix leaf textures was introduced and theoretically investigated with the purpose of enhancing hydrostatic and hydrodynamic opening performance. First, a theoretical model of a laser surface textured gas mechanical face seal with semi salix leaf textures was developed. Second, the impact of operating and texturing parameters on open force, leakage, and friction torque was numerically investigated and has been discussed based on gas lubrication theory.

CuO Bionanocomposite with Enhanced Stability and Antibacterial Activity against Extended-Spectrum Beta-Lactamase Strains.

Worldwide, bacterial resistance to beta-lactam antibiotics is the greatest challenge in public health care. To overcome the issue, metal-based nanoparticles were extensively used as an alternative to traditional antibiotics. However, their unstable nature limits their use.

A Review of Friction Performance of Lubricants with Nano Additives.

It has been established in literature that the addition of nanoparticles to lubricants at an optimum concentration results in a lower coefficient of friction compared to lubricants with no nanoparticle additives. This review paper shows a comparison of different lubricants based on the COF (coefficient of friction) with nanoadditives. The effect of the addition of nanoparticles on the friction coefficient was analyzed for both synthetic and biolubricants separately.

Atrous Convolutions and Residual GRU Based Architecture for Matching Power Demand with Supply.

Nowadays, for efficient energy management, local demand-supply matching in power grid is emerging research domain. However, energy demand is increasing day by day in many countries due to rapid growth of the population and most of their work being reliant on electronic devices. This problem has highlighted the significance of effectively matching power demand with supply for optimal energy management.