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Data centres evolve constantly in size, complexity and power consumption. Energy-efficient scheduling in a cloud data centre is a critical and challenging research problem. It becomes essential to minimize the overall operational costs as well as environmental impact and to guarantee the service-level agreements for the services provided by the cloud data centres. Resource scheduling in cloud data centres is NP-hard and often requires substantial computational resources.

To overcome these problems, the authors propose a novel model that leads to nominal operational cost and energy consumption in cloud data centres. The authors propose an effective approach, parallel hybrid Jaya algorithm, that performs parallel processing of Jaya algorithm and genetic algorithm using multi-threading and shared memory for interchanging the information to enhance convergence premature rate and global exploration.

Experimental results reveal that the proposed approach reduces the power consumption in cloud data centres up to 38% and premature convergence rate up to 60% compared to other algorithms.

Experimental results reveals that our proposed approach reduces the power consumption in cloud data centres up to 38% and premature convergence rate up to 60% compared to other algorithms.

The dynamics of the PV microgrid (PVMG) system are highly nonlinear and uncertain in nature. It is encountered with parametric uncertainties and disturbances. This system cannot be controlled properly by conventional linear controllers. H⁻ controller and sliding mode controller (SMC) may capable of controlling it with ease. Due to its inherent dynamics, SMC introduces unwanted chattering into the system output waveforms. This paper aims to propose a controller to reduce this chattering.

This paper presents redesign of the SMC by modifying its sliding surface and tuning its parameters by employing water-evaporation-optimization (WEO) based metaheuristic algorithm.

By using this proposed water-evaporation-optimization algorithm-double integral sliding mode controller (WEOA-DISMC), the chattering magnitude is diminished greatly. Further, to examine which controller between H8 controller and proposed WEOA-DISMC performs better in both normal and uncertain situations, a comparative analysis has been made in this paper. The considered comparison parameters are reference tracking, disturbance rejection and robust stability.

WEO tuned DISMC for PVMG system is the contribution.

The current study aimed to (1) explore the prevalence and processes associated with microaggression, along with (2) the consequences of such instances on the queer employees’ life.

For this purpose, semi-structured in-depth interviews were conducted on 29 LGBTQIA + persons (21–42 years). The qualitative data were analysed through the thematic analysis method (a hybrid of theoretical and inductive thematic analysis). Nadal and colleagues’ (2010) taxonomy on sexual orientation and transgender microaggression was used as a theoretical lens for detecting the acts of microaggression.

The result revealed eight themes: i.e. (1) overt discrimination (bullying and sexual harassment); (2) workplace discrimination; (3) environmental microaggressions; (4) interpersonal microaggressions; (5) mental health effects; (6) disclosure dilemma; (7) consequences on job-related functioning; and (8) policy changes. Microaggression was more common as compared to overt forms of aggression such as bullying. The study detected a serious lag in the implementation of queer-friendly policies in Indian organizations. Experiences of overt discrimination and microaggressions hinder the work performance and the psychological well-being of queer employees.

LGBTQIA + microaggression is not explored in the Indian workplace context.

The Indian pharmaceutical industry currently faces multiple challenges, including rising costs and slowing export growth, which in turn have limited its ability to expand presence in global canvas. Given the nature of sectoral dynamics, a pharmaceutical firm must undertake huge investments in R&D to introduce product innovation, in turn enhancing market share and sustaining profit streams. The development of novel medicines, confirmed by the granting of patent rights, provides a pharma company edge over its competitors. In addition, presence of innovator firms within the industry invigorates the sectoral value chain and raises efficiency. Hence, it is important to analyze whether granting patent rights enhances the exports of pharmaceutical products in the Indian context.

The current study explored this question using a simultaneous-equation framework. Specifically, the authors use the methods developed by Davidson and MacKinnon (1993) and Greene (2003) to obtain heteroscedasticity-consistent estimates. The time-series properties of the data were further probed, and robust estimates were used to test the theory. Methods developed by Baltagi (1981) have been used further to refine the authors’ estimations.

After controlling for relevant variables, it is observed that granting of patents caused a significantly positive impact on pharmaceutical exports. Furthermore, the change in the patent administration regime had a significant impact on patent fillings, which further impacted their exportability. Compared to patents granted patents filed had a higher impact on pharmaceutical exports.

This study attempts to apply the framework developed by Goldstein and Khan (1978) with necessary modifications to suit the context of a developing country. The application of the 3SLS method to estimate the export supply equation for pharmaceutical products is a novel approach to the research question in general and to the Indian context in particular. System autocorrelation and heteroscedasticity tests were performed to refine the results further.

The inclusion of LGBTQ + persons (lesbian, gay, bisexual, transgender, queer and having other sexual orientations and gender identities) is a crucial step in improving gender diversity in the workplace; however, till date, it remains a significant challenge for human resource management professionals. The current study critically examines this issue of an inclusive workplace for LGBTQ + people through a systematic review of the existing research that has empirically studied their experiences at the workplace. It also examines the resistance and challenges organizations face in LGBTQ + diversity training and provides future research avenues.

For systematically reviewing the literature, Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) model has been used. A total of 101 empirical studies have been reviewed.

The result shows that LGBTQ + people encounter multiple negative workplace experiences, including proximal (hiring discrimination and housing discrimination) and distal workplace discrimination (unsafe work climate, microaggressions and harassment). These aversive experiences lead to work stress while also mandating that people manage their sexual identity and style of dressing. This stress, in turn, impacts their work–family outcomes, job satisfaction and decision-making with regard to their careers.

The paper provides a holistic understanding of the aversive workplace experiences encountered by sexual minorities.

This study aims to identify the optimal configuration to enhance the environmental conditions of a terrace house courtyard space in a hot and humid climate. The use of the courtyard has declined in new housing developments although it is an effective element to bring in light and wind to promote passive ventilation to occupants. To achieve the comfort level, the courtyard needs to be open, but some occupants modify it with enclosures, such as polycarbonate, to increase the useable and shaded area. This affects bringing in daylight but deters the passive ventilation from happening. Thus, this research is important to create a courtyard that brings in daylight and wind as well as shades from the harsh sun of the tropics and to educate the occupants on the role of the courtyard as a passive ventilation system.

The research method employed is a simulation study. A terrace house with a courtyard design in Penang was chosen as a case study of the baseline model. The courtyard configurations of the case study were evaluated, and 4 settings based on the literature review were established for simulation. The effects of the courtyard configurations were tested through daylight and CFD simulations. Daylight and ventilation requirements from Malaysia Standard were used to evaluate and compare the effectiveness of the proposed settings.

The results suggested that the semi-enclosed courtyard feature with a shading device could provide the optimal environmental conditions of the courtyard space in a terrace house in a hot-humid climate. This paper will benefit the architectural community in which it is intended to implement courtyard design in modern terrace houses and will also contribute to the discovery of the most suitable courtyard typology in a hot-humid climate.

The study does not include studies on thermal comfort, energy performance, or use behavior of occupants in this courtyard. The study only focuses on the influence of different courtyard configurations in improving the courtyard space's daylight availability and indoor air movement.

The data from this study reveal that alteration of courtyard design needs to suit comfort level that should not alter the functions of the courtyard as a passive design. The simulation method offers data for microclimatic conditions according to the changes in design. This study attempts to design influence on multiple parameters of shading, daylighting and ventilation to optimize the use of tropical climatic conditions.

The terrace house with courtyard would create a passive design strategy that would naturally ventilate, provide daylight, and will save on energy usage. The courtyard then with its enhanced comfort for the user will be able to function as a useable space to foster family relationships.

The study on courtyard design using the simulation method mostly have been conducted using a single parameter. This study highlights the analysis and process of identifying the optimal configuration for the architectural feature of a courtyard to provide a comfort level for occupants in hot and humid climates using the simulation method using data from two pieces of software.

There is an urgent need to develop a systematic tool for urban design in the cities of the Klang Valley, Malaysia. Sustainable Development Goal 11 (SDG11) proposes ideas to make cities and human settlements inclusive, safe, resilient and sustainable. This paper approaches this goal through land use, integrated into an effective connectivity network. It offers a scientific and systematic approach. The research employs Space Syntax of the University College London as a tool for urban analysis and the principles of Sustainable Street Networks developed by the Congress of New Urbanism to respond to connectivity issues.

The paper employs empirical research through case studies. A systematic literature review is conducted on the diversified applications of the Space Syntax correlations, which steered the fundamental analysis of the elements of deconstruction to structure and land use. Space Syntax and Sustainable Street Network characteristics were the essential research methods. It is important to note that these data a new finding on the Syntactic Maps of the two case study cities.

The paper summarises a set of results on (1) international comparison of spatial intelligence, (2) patterns from the Eastern cases and (3) theoretical guidelines for spatial intelligence through the Syntax by offering key characteristics of the New Urbanism principles, which could be considered, while revitalising the cities in the Klang Valley, Malaysia.

The findings are specific and applicable to the oriental contexts. However, such results have been further compared to the Western context.

The study develops a toolkit for urban planners and designers and architects in Klang Valley, Malaysia.

The research has focused and will add value for SDG11: Sustainable Cities and Communities. Theoretically, the paper offers insights to urban design readers.

It is important to note that the data itself is a new finding on Syntactic Maps of the two case study cities. The investigated setting is unique, and the first attempt in generating a Space Syntax map to the cities of Klang Valley, and the findings, therefore, offer a new set of knowledge-base to the city planners, urban designers, researchers and architects.

Kaleidofin was co-founded in 2017 by Puneet Gupta and Sucharita Mukherjee; former CFO and CEO of IFMR (Institute for Financial Management and Research) Holdings Pvt Ltd. As part of their roles at IFMR, Gupta and Mukherjee focused on designing products and developing technology to push for financial inclusion. In their field interactions, the co-founders had an epiphany of the challenges faced by people while trying to save towards important life goals. They saw an opportunity in the large segment of financially under-served people in India and quit their jobs to start Kaleidofin. Kaleidofin was conceptualised as a digital platform that offers customised financial solutions to help customers meet their life goals. The start-up partnered with mutual fund companies for solutions on one hand and network partners (NGOs, microfinance organizations, cooperative banks) on the other for access to their existing customers.

Kaleidofin grew from 50 customers in January 2018 to 15,000 customers by March 2019. Aiming to grow to 1 million customers in the next 30 months Kaleidofin faces a dilemma about its future course. The start-up could continue to grow by expanding its current target segment which is the low-income households and preserve its vision at the risk of increasing costs. The second option would be to look at other potential target segments, such as, middle-income households and risk diluting their vision. The case study highlights the unique customer-centric model of Kaleidofin and the need for start-ups to understand the value proposition of their products/services.

Uncertainty-identity theory serves as our guiding theoretical framework to explore subjective uncertainty, especially uncertainty about self and identity, and the ways in which communication within groups provides valuable social identity information to group members as a means to manage subjective uncertainty.

We review and synthesize research in communication science and social identity theory, specifically uncertainty-identity theory, to compare diverse understandings of uncertainty and the identity-shaping function of communication within groups.

Uncertainty inherent in dyadic interactions has received extensive attention in communication science. However, the identity-defining function of communication that flows within and between groups as a means to resolving uncertainty about subjectively important matters has received little attention in both social psychology and communication science.

We explore how communication that flows from in-group sources (e.g., leaders) serves to shape a shared reality and identity for group members while providing a framework for self-definition. We propose an agenda for future research that would benefit from an articulation of the importance of communication in the shaping and management of identity-uncertainty.

Uncertainty arousing rhetoric by influential in-group sources, such as leaders and the media can have serious implications for intergroup relations, as uncertain individuals seek distinctive and tight-knit groups and autocratic leaders under conditions of heightened uncertainty. The role that communication plays in shaping clear and distinct identities as a panacea for identity-uncertainty has implications for the intragroup normative structure of the group and for intergroup relations.

The United Nations (UN) adopted Sustainable Development Goals (SDGs); agenda 2030 focuses on Climate Action (goal 13), targeting climate adaptability, as well as resilience, awareness and improving policy mechanisms on climate change. In order to enhance climate adaptability, climate-smart agricultural practices (CSAP) is a necessary step. CSAP is a sustainable agriculture approach with a strong focus on climate dimensions. The three pillars of climate-smart agriculture (CSA) are ‘Adaptation’: adapting to climate change; ‘Resilience’: building resilience against it and ‘Remove’: reducing carbon emissions. The new world economy uses Industry 4.0 technologies for sustainable advancement, including blockchain technology, big data analytics, artificial intelligence (AI), augmented and virtual reality, industrial Internet of Things (IoT) and services. Hence, technology plays a significant role in climate sustainable agriculture practices. This chapter shall consider three technologies consisting of IoT, AI and blockchain technology which contribute to CSAP in pre-harvesting (monitoring climate as well as fertility status, soil testing, etc.), harvesting (tilling, fertilisation, seed operations, etc.) and post-harvesting (predicting weather factors, seed varieties, etc.) periods of agriculture. All these three technologies work like the human nervous system; IoT helps in converting various information regarding demography, climate change, local agricultural needs, etc. into world data; AI works like a brain in combination with IoT, helps predict the use of climate-smart technology and blockchain, the memory part of the nervous system which deals with supply-side and ensures traceability as well as transparency for consumers as well as farmers. Hence, this chapter shall contribute to the importance of these three technologies in adopting CSAP in three stages of agriculture.