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The situations of COVID-19 will certainly have an adverse effect over and above health care on factors of the internet of things (IoT) market. To overcome all the above issues, IoT devices and sensors can be used to track and monitor the movement of the people, so that necessary actions can be taken to prevent the spread of coronavirus disease (COVID-19). Mobile devices can be used for contact tracing of the affected person by analyzing the geomap of the travel history. This will prevent the spread and reset the economy to the normal condition.

To respond to the global COVID-19 outbreak, the social-economic implications of COVID-19 on specific dimensions of the global economy are analyzed in this study. The situations of COVID-19 will certainly have an adverse effect over and above health care on factors of the IoT market. To overcome these issues IoT devices and sensors can be used to track and monitor the movement of the people so that necessary actions can be taken to prevent the spread of COVID-19. Mobile devices can be used for contact tracing of the affected person by analyzing the geomap of the travel history. This will prevent the spread and reset the economy to the normal condition. A few reviews, approaches, and guidelines are provided in this article along these lines. Moreover, insights about the effects of the pandemic on various sectors such as agriculture, medical industry, finance, information technology, manufacturing and many others are provided. These insights may support strategic decision making and policy framing activities for the top level management in private and government sectors.

With insecurities of a new recession and economic crisis, key moments such as these call for strong and powerful governance in health, business, government, and large society. Instant support measures have to be initiated and adapted for those who can drop through the cracks. Mid- and long-term strategies are required to stabilize and motivate the economy during this recession.

A comprehensive social-economic development strategy that consists of sector by sector schemes and infrastructure that supports business to ensure the success of those with reliable and sustainable business models is necessary. From the literature analysis and real world observations it is concluded that the IoT, sensors, wearable devices and computational technologies plays major role in preserving the economy of the country by preventing the spread of COVID-19.

This paper aims to investigate the wear behaviors of aged metal matrix composites and of the as-cast Al-Si alloy by using a pin-on-disk wear testing machine at room temperature.

Hypoeutectic (Al-7Si) alloy reinforced with low volume fractions of SiC particles (SiC_p) and graphite (Gr) particles were prepared by the stir-casting process. It was found that the addition of 9 Wt.% of SiC_p and 3 Wt.% of Gr particles conferred a beneficial effect in reducing the wear rate of the composites.

The worn-out surfaces of the specimens were examined using scanning electron microscopy (SEM); the extensive micro cracking occurs on the surface of the Al-7Si alloy tested at lower loads. The growth of these microcracks finally led to the delamination of the base alloy surface. The reinforcements (SiCp and Gr) particles tended to reduce the extent of plastic deformation in the surface layer, thereby reducing extensively the occurrence of micro cracking in the composites.

From the results, it is revealed that the quantity of wear rate was less for aged specimens compared to the as-cast specimens. The worn-out surfaces were studied using electron dispersive spectroscopy, and wear debris was analyzed using SEM.

This paper aims to investigate the microstructure, hardness and tribological properties of hypoeutectic (Al-7Si) matrix reinforced with fixed quantities of 3 Wt.% graphite (Gr) and x Wt.% SiCp (x = 3, 6 and 9) hybrid composites.

The composites were fabricated by stir cast technique. The microstructure, hardness and tribological measurements were carried out on the base alloy and composites. The tribological investigation was carried out on pin-on-disc wear testing machine under dry sliding condition.

The wear rate decreases with the increase of SiCp into A356-3Gr composites. The composite containing A356-9SiCp-3Gr had better hardness and good wear resistance compared to the base alloy. Scanning electron microscope (SEM) and electro dispersive spectrometry (EDS) images were used to study the reinforcement distribution and worn-out surface of the specimens.

The present paper brings out a clear picture of the various events that take place under the worn-out surfaces leading to the generation of mechanical mixed layer.

The purpose of this paper is to investigate the inhibition effect of hydralazine hydrochloride as a corrosion inhibitor for mild steel in 1M HCl. The inhibition effect was studied at different temperatures, ranging from 303 to 333°K.

The inhibition efficiency of hydralazine hydrochloride was analyzed using weight loss, Tafel polarization, electrochemical impedance spectroscopy and surface morphology methods. The effect of temperature on the corrosion behavior of mild steel in 1M HCl was studied and discussed using an adsorption isotherm and activation parameters.

Weight loss, polarization and impedance showed that the inhibition efficiency increases with an increase in the concentration of hydralazine hydrochloride for mild steel in 1M HCl. The inhibitive action may be attributed to the adsorption of the inhibitor molecule on the active sites of the metal surface by the Langmuir adsorption isotherm. Polarization curves indicated that hydralazine hydrochloride acts as a mixed-type inhibitor. Scanning electron microscopy was performed on inhibited and uninhibited mild steel samples to characterize the surface. Thermodynamic parameter indicated that the adsorption of hydralazine hydrochloride is a spontaneous process and the adsorption occurs chemically.

The inhibition effect of hydralazine hydrochloride for mild steel has been investigated at different temperatures, ranging from 303 to 333°K. Hydralazine hydrochloride was a good inhibitor at a higher temperature.

The purpose of this study is to examine the biophysical and socioeconomic impacts of climate change on maize production and food security in sub-Saharan Africa (SSA) using adapted improved maize varieties and well-calibrated and validated bioeconomic models.

Using the past climate (1950-2000) as a baseline, the study estimated the biophysical impacts of climate change in 2050 (2040-2069) and 2080 (2070-2099) under the A1B emission scenario and three nitrogen levels, and the socioeconomic impacts in 2050.

Climate change will affect maize yields across SSA in 2050 and 2080, and the extent of the impact at a given period will vary considerably between input levels, regions and maize mega environments (MMEs). Greater relative yield reductions may occur under medium and high-input intensification than under low intensification, in Western and Southern Africa than in Eastern and Central Africa and in lowland and dry mid-altitude than in highland and wet mid-altitude MMEs. Climate change may worsen food insecurity in SSA in 2050 through its negative impact on maize consumption and reduction in daily calorie intake. However, international trade has the potential to offset some of the negative impacts.

The study calibrated and applied bioeconomic models to estimate the biophysical and socioeconomic impact of climate change on maize production at fine resolution. The results could be used as a baseline to evaluate measures that will be applied to adapt maize to the future climate in SSA.

The paper is based on a project with the Department of Industrial Work (DIW) in Thailand for promoting intellectual capital (IC), which aims to boost the country's long‐term industrial competitiveness. The purpose of this paper is to focus on examining the interrelationships between IC and economic development (i.e. GDP per capita) in Thailand and other neighboring countries in Southeast Asia. The second objective is to identify the IC targets to help enable the DIW to propose future policy initiatives relating to IC.

The key steps include a selection of IC indicator(s) to assess IC impacts on the country's economic development. There are five countries (Indonesia, Malaysia, the Philippines, Singapore and Thailand) to be examined for the IC impacts due to their economy sizes. The methodology involves statistical analysis for understanding the interrelationships and identifying the IC targets for Thailand and the future policy initiatives are derived through the review discussion with DIW administrators.

Initially, two IC indicators were selected. However, only National Intellectual Capital Indicator (NICI) was statistically significant to the GDP per capita. A further examination revealed that the NICI target for Thailand and a remaining three countries needs to reach 5.0, in order to move from the efficiency‐driven to the innovation‐driven stage. The economic development stages are outlined by the Global Competitiveness Report (published by World Economic Forum) which indicates a GDP per capita over $US 17,000.

The paper underlines the need for the DIW to continue a development of the IC‐related performance indicators for local firms, in both manufacturing and service sectors. In the past, the DIW has encouraged them to primarily measure quality and productivity (including Economic Value Added) as their key non‐financial area. The IC‐related indicators may emerge as one of several alternatives for productivity and quality measurement.

The intangible assets are important today as knowledge and innovation are the key drivers to long‐term business competitiveness. In other words, this competitiveness requires the productive use of the intangible assets. Thus, measuring productivity should underline their importance within an organization. Therefore, the study aims to examine whether the intellectual capital or IC can be used to support productivity measurement.

The research methodology consists of two stages, derived from the management process which deals with measurement and analysis. The first stage tests the interrelationships between productivity (namely value‐added labor productivity) and the IC. This test is based on a company's financial reports and the IC survey. The second stage focuses on better understanding on how IC can be analyzed. Altogether ten leading manufacturers, with 270 executives and managers, have participated in the survey. Important statistical techniques such as Pearson Correlation are integrated. Moreover, the consideration into the validity of the survey items (e.g. the non‐respondent bias analysis) is illustrated.

Because of the significant relationships between the IC and value‐added productivity, measuring the IC can strengthen ongoing productivity measurement efforts on a firm's intangible assets. In other words, the IC can become a surrogate for productivity measurement. To assist the IC analysis further, the IC is positively influenced by innovation, learning organization, knowledge management, and self‐directed learning, respectively. In other words, the innovation appears to have the highest impact on the IC level while the ability of an organization to learn and to apply knowledge also has considerable influences.

The emerging use of the term value‐added highlights the importance of IC within the context of productivity measurement. Past studies have focused on relating some the IC components such as innovation and quality of work life to the productivity level. This study attempts to look at the IC in a more comprehensive manner.

The aim of this paper is to raise an awareness of intangible assets among large manufacturing firms in Thailand. As a result, the research is to examine empirically the effects of intellectual capital (IC), and its key components (e.g. human capital, structural capital, and innovation capital) on a manufacturing firm's industrial operations and performance.

The required data for this research are collected from leading manufacturing firms' annual reports. These firms are listed in stock exchange of Thailand 100. The value added intellectual coefficient (VAIC) is adapted to measure IC. Then, the co‐relation analysis and multi‐regression model are applied to learn more about the roles of VAIC and its impacts on a manufacturing firm's performance.

IC positively and significantly affects a manufacturing firm's performance. It impacts all four performance indicators under study, i.e. return on equity, return on assets, revenue growth, and employee productivity. In addition, based on the relatively high adjusted R², human capital exhibits the relationships with employee productivity.

The findings highlight the role of IC in strengthening a manufacturing firm's long‐term competitiveness advantage. The results from the paper have helped develop policy initiatives for Department of Industrial Work in Thailand such as tax scheme and incentives for R&D spending, promotion of university partnerships for R&D, and training for more effective knowledge management practices.

Whilst a modest number of investigations have been undertaken concerning nanofluids (NFs), the exploration of fluid flow under exponentially stretching velocities using NFs remains comparatively uncharted territory. This work presents a distinctive contribution through the comprehensive examination of heat and mass transfer phenomena in the NF ND–Cu/H₂O under the influence of an exponentially stretching velocity. Moreover, the investigation delves into the intriguing interplay of gyrotactic microorganisms and convective boundary conditions within the system.

Similarity transformations have been used on PDEs to convert them into dimensionless ODEs. The solution is derived by using the homotopy analysis method (HAM). The pictorial notations have been prepared for sundry flow parameters. Furthermore, some engineering quantities are calculated in terms of the density of motile microbes, Nusselt and Sherwood numbers and skin friction, which are presented in tabular form.

The mixed convection effect associated with the combined effect of the buoyancy ratio, bioconvection Rayleigh constant and the resistivity due to the magnetization property gives rise to attenuating the velocity distribution significantly in the case of hybrid nanoliquid. The parameters involved in the profile of motile microorganisms attenuate the profile significantly.

The current simulations have uncovered fascinating discoveries about how metallic NFs behave near a stretched surface. These insights give us valuable information about the characteristics of the boundary layer close to the surface under exponential stretching.

The novelty of the current investigation is the analysis of NF ND–Cu/H₂O along with an exponentially stretching velocity in a system with gyrotactic microorganisms. The investigation of fluid flow at an exponentially stretching velocity using NFs is still relatively unexplored.

N-containing heterocyclic benzotriazole derivatives as new corrosion inhibitor for mild steel contained in emulsion were synthesized, and their inhibition behaviors for mild steel (MS) contained in emulsion were investigated by experiments and theoretical calculations, and this study aims to prove that two new inhibitors have excellent inhibition efficiency for steel corrosion.

2-(1H-benzo[d][1,2,3]triazol-1-yl)-N,N-dioctylacetamide (BTN) and O-(3-(1H-benzo[d] [1,2,3]triazol-1-yl)propyl) S-(2-(dioctylamino)-2-oxoethyl) carbonodithioate (BTSC) as a new corrosion inhibitor were synthesized, and their inhibition behaviors for MS contained in emulsion were investigated by gravimetric experiment, electrochemical tests and theoretical calculations.

Results of gravimetric experiment, electrochemical tests show that BTSC exhibit excellent inhibition performance, and it has a higher inhibition efficiency of 96.6% than that BTN. The resultant adsorption films from BTN/BTSC adsorbed on MS, effectively inhibiting the corrosion of MS is mainly through chemisorption and follow to Langmuir’s adsorption isotherm.

Experimental and theoretical calculations display that two new synthesized inhibitors are excellent corrosion inhibitor for MS contained in emulsion. Electrons of inhibitors mainly focus on the C, N, S and O atoms, which demonstrate these atoms are the centers of negative charge, and they supply electrons to Fe atoms through coordination bonds.