The purpose of this paper is to develop a novel organic‐inorganic (epoxy‐silicone) hybrid resin for application in heat resistant surface coatings.
Abstract
Purpose
The purpose of this paper is to develop a novel organic‐inorganic (epoxy‐silicone) hybrid resin for application in heat resistant surface coatings.
Design/methodology/approach
Thermally stable aminosilicone resin was prepared by using diethoxydimethyl silane and γ‐aminopropyldiethoxy methyl silane.
Findings
The hybrid epoxy silicone resin shows significant properties such as toughness, chemical resistance and thermal stability.
Research limitations/implications
The prepared amino siloxane was cured by commercially available epoxy resin PG 100 and toluene diisocyanate in different ratios at high as well as at room temperature to develop high‐temperature vulcanisation and room temperature vulcanisation resin systems.
Practical implications
The hybrid epoxy silicone resin may be used as heat resistant coatings due to their low shrinkage and lesser internal stress.
Originality/value
The developed hybrid epoxy silicone resin was novel for application in thermally stable coatings.
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UV curable systems have found wide applications in clear coatings. However, coatings containing pigment showed a degree of curing inhibition due to the absorption, scattering and…
Abstract
UV curable systems have found wide applications in clear coatings. However, coatings containing pigment showed a degree of curing inhibition due to the absorption, scattering and reflection of the UV radiation caused by the presence of pigments in the coating film. This results in poor through‐cure and consequently in poor adhesion. Thus, pigments used in the UV curable coating systems should not absorb radiation in the same region as the photo‐initiators. One of the solutions to such a problem, reported in this paper, was to develop more reactive, alcohol soluble, non‐heat reactive, low molecular weight cresol based, pigmented novolac epoxy acrylate systems, which have a lower absorption in the UV region. In addition, the effects of several photoinitiators having absorption in the longer wavelength region of the UV spectrum were investigated.
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Three decades of academic and professional discourse on HR technologies (HRTs) have produced continued disagreement over construct definitions and research streams that are highly…
Abstract
Three decades of academic and professional discourse on HR technologies (HRTs) have produced continued disagreement over construct definitions and research streams that are highly fragmented. These realities suggest that greater consistency in meanings is sorely needed if we are to integrate and upgrade knowledge in this area. This chapter draws on the findings of a systematic research review to properly define the content domains of human resource information systems (HRIS), virtual human resources (virtual HR), electronic human resource management (e-HRM), and business-to-employee (B2E) systems. An integrative synthesis was performed on 242 system-level writings that appeared in the literature from 1983 to 2017. The weight of the evidence strongly supports treating HRIS, virtual HR, e-HRM, and B2E systems as independent, complimentary constructs. While the first three comprise a firm’s HRT system, the fourth construct is more appropriately positioned in the business-collaborative system. The sample was further evaluated with an analytic framework to detect patterns of practice in research designs. This revealed that much more attention has been focused on system actions and outcomes than on attitudes and system characteristics. Different units of analysis were well represented aside from trans-organizational studies. Finally, a case is made for better contextualizing HRT research by recognizing differences in assimilation stage, functional penetration, and collective proficiency. These factors are rarely mentioned, let alone studied, raising additional concerns about measurement error. Detailed suggestions are offered on ways to incorporate them. Together, these materials should promote more sophisticated and generalizable assessments of technology, improving our ability to understand its impacts.
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The identification criteria, service provision, and prevalence rates of individuals with emotional and behavioral disorders (EBD) vary across state jurisdictions in the United…
Abstract
The identification criteria, service provision, and prevalence rates of individuals with emotional and behavioral disorders (EBD) vary across state jurisdictions in the United States despite being governed by the same general rules. Therefore, it is unlikely that nations with different histories, economic circumstances, and attitudes toward social norms will demonstrate similarity regarding identification and treatment of individuals with EBD. The fields of anthropology, sociology, and psychology provide conceptual frames for understanding how EBD might be considered across cultures. The present chapter reviews a number of these conceptual considerations. Although there is considerable evidence for variability across cultures, there is also evidence for a shared basis that appears to be part of human characteristics, regardless of culture. The chapter concludes by considering special education services in general as a subset of the education systems provided to all citizens in several nations with diverse cultures and economic situation.
Arjita Singh and Tanya Chouhan
Purpose: In recent times, ‘artificial intelligence (AI)’ has been pervasive even in organisations or at home. AI is defined as programming computers or other technological devices…
Abstract
Purpose: In recent times, ‘artificial intelligence (AI)’ has been pervasive even in organisations or at home. AI is defined as programming computers or other technological devices to act, react, respond, or assist the same way humans do. AI has undeniably made people’s lives easier. In organisations, the impact of AI is even more visible. The main aim of this chapter is to examine the significant role of future work skill’s (FWS) each component in the field of on-growing automation. The focus will be especially on emotional and social intelligence (ESI) (a key component of FWS) while adopting AI.
Need of the Study: In terms of human resource management (HRM), AI is useful for people management, payroll services, staff monitoring and improving the recruiting network, among other things. Even managers put their organisation’s job openings on the web and get applicant resumes electronically. People and employees in the organisation have become more advanced and innovative due to AI. A device obtains employee attendance, and human resource (HR) can track their employees and their organisation’s workforce data. HR has now been awarded more authority to manage and fix their employee’s problems because of AI. In a rapidly changing world, AI is affecting all aspects. AI is yearning to automate all of the jobs.
Methodology: Now a question arises how we can stay relevant in AI economic development? As humans, we learned that every issue is a problem of optimisation because we simply require human skills to develop, create and innovate new things. Therefore, researchers recognised that adopting sustainable growth skills encourages people to continue learning throughout their lives. Moreover, AI has enabled machines the ability to learn over time. Still, they will never be able to develop new ideas like human intelligence. A machine can use only one fixed data algorithm. Now humans have made significant progress in various fields with the help of FWS; without integrated computer sciences, brain science would not make such an outstanding achievement. On the other hand, human minds are masters of their intelligence, such as creativity, complex problem-solving, cognitive thinking, ESI and communication. Breakthrough human mind are masters of algorithms represented people have to understand new trends of technology around us, and the best way to move forward is to be aware, adapt and update skills.
Practical Implications: However, AI is required because, regardless of technological advancements, AI is leading Industry 4.0. The industry’s transformation is in 4.0, and hopefully, 5.0 will jump on board soon. Undoubtedly, AI should streamline the process and eliminate redundancy or administrative tasks.
Finding: AI can be more effective in organisations if they incorporate other FWS, particularly the soft human ESI skills, whereas AI is present everywhere, we can still not neglect FWS, especially ESI. So, this chapter highlights the important role of soft skills, that is, ESI and FWS, while adapting AI for an effective HRM.
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K. M. Faridul Hasan, Haona Wang, Sakil Mahmud, Ashraful Islam, Md. Ahsan Habib and Cao Genyang
Functionalization of organic cotton fabrics (OCFs) by in situ deposition of chitosan reduced-stabilized silver nanoparticles (AgNPs). No other toxic chemicals used to warrant an…
Abstract
Purpose
Functionalization of organic cotton fabrics (OCFs) by in situ deposition of chitosan reduced-stabilized silver nanoparticles (AgNPs). No other toxic chemicals used to warrant an ecofriendly synthesis protocol. Human toxicity of silver systematically avoided to use as textile clothing. Primary colors (nearly-red, yellow and blue) were imparted on OCFs via localized surface plasmon resonance (LSPR) of AgNPs. Decent mechanical properties and laundering durability in terms of antibacterial/fastness test improved mechanical properties.
Design/methodology/approach
Silver nanoparticles can be synthesized by using silver nitrate along with commercially available chitosan. Due to the surface LSPR property of silver nanoparticles, it exhibits versatile colors depending on the synthesizing procedures. The coloration occurs due to the electrostatic interaction between the AgNPs and chitosan-treated OCF. The nanotreated fabrics provide excellent mechanical properties with improved antibacterial effects.
Findings
X-ray fluorescence (XRF) analysis quantifies the developed materials in the substrates. Scanning electron microscopy (SEM) characterization indicates the appearance and morphologies of silver nanoparticles into the fabric surface after the coloration process. It proves that the treated cotton knit fabric exhibits the LSPR optical features of AgNPs. The antibacterial and mechanical properties confirm the improved functionality of products.
Originality/value
Improved mechanical properties, antibacterial performances and coloration effects on organic cotton substrates in terms of chitosan-mediated nanosilver are not yet studied.
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The alkyd resin of short oil length with low acid value was modified with novolac‐based epoxy esters, prepared by using tobacco seed oil fatty acids. The prepared blends were…
Abstract
The alkyd resin of short oil length with low acid value was modified with novolac‐based epoxy esters, prepared by using tobacco seed oil fatty acids. The prepared blends were cured using an aliphatic amine as curing agent. The films of cured resins were applied over various panels and their film characteristics were studied. It was found that the scratch hardness and corrosion resistance increased with the increase of epoxy esters in the blend. The chemical resistance was also studied and found to be better with increasing epoxy esters in the blends.
Srishti Jaitely and Navjit Gaurav
In India, people with disabilities (PWDs) have emerged as one of the most vulnerable populations during COVID-19, particularly those living in informal settlements. Although the…
Abstract
Purpose
In India, people with disabilities (PWDs) have emerged as one of the most vulnerable populations during COVID-19, particularly those living in informal settlements. Although the government has made efforts to ensure healthcare access for all, these efforts seem inadequate considering that PWDs' needs vary greatly depending on type and degree of disability. The purpose of the study is to identify barriers in healthcare access for PWDs in Mumbai's informal settlements during COVID-19.
Methods
A qualitative approach employed multiple case study methods. Eight PWDs were selected as cases from the informal settlements of M-East Ward, Mumbai. The data was gathered using observation and interaction with the PWDs. Data were analyzed for emergent themes to explore the presence, meaning, and relationships of barriers faced by PWDs accentuated by pandemic.
Findings
Findings indicate a complex and compounded interplay of structural, administrative, psycho-social, and technological factors which created numerous challenges for PWDs to access healthcare provisions during pandemic. These factors include socioeconomic challenges, the built environment inaccessibility, limited transportation facilities, and lack of trained healthcare personnel to support PWDs.
Implications
This research adds to an understanding of the barriers faced by PWDs and provides insights for formulating contextualized policies to ensure accessible health services for PWDs when needed. Findings point out ways in which understanding the barriers would help to identify the gaps in the resource system, and to mobilize required resources in the relevant healthcare departments.
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Pankaj Kumar, Bhavna Bajpai, Deepak Omprakash Gupta, Dinesh C. Jain and S. Vimal
The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.
Abstract
Purpose
The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.
Design/methodology/approach
We used machine learning techniques with convolutional neural network.
Findings
Detecting COVID-19 symptoms from patient CT scan images.
Originality/value
This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.