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Social responsibility (SR) has become critical in facilitating the sustainability of new infrastructure construction (NIC) and is also a nonnegligible aspect in its management. Although studies attempting to explore this issue from various and disparate perspectives have become increasingly popular, no consensus has yet been reached regarding what SR factors affect NIC management. This paper aims to establish an inventory of SR factors for NIC and reveal a comprehensive framework for SR of NIC (NIC-SR) management through an in-depth analysis of the relationships among factors.

This article proposes a mixed-review method that combines the preferred reporting items for systematic reviews and meta-analyses and content analysis methods as a solution.

From 62 chosen publications on NIC-SR published in peer-reviewed journals between 2010 and 2022, a total of 44 SR factors were found. These 44 SR factors were divided into 4 interconnected categories: political, ethics-environmental, legal and economic. Based on the interactions among SR factors and incorporating the impact of the four categories of SR factors on NIC management, an integrated framework from micro to macro was developed.

This paper educates researchers and practitioners about the SR factors that must be considered to improve the sustainability of NIC management and provides practical implications for architectural, engineering and construction (AEC) practices. Furthermore, it serves as an impetus for governments to improve their programs and policies and fulfill social responsibilities.

A core challenge for leaders for deeper learning is scaling promising practices to provide students with systematic access to deeper learning experiences. This case illuminates how a group of researchers organized professional learning activities around conferring, a promising deeper learning practice.

The author examines how the leaders of a Networked Improvement Community (NIC) created the conditions for teachers to share their deeper learning practices through a case study. The case study centers on one school team’s learning through their participation in the NIC activities, as evidenced by the artifacts they created and their exchanges with their team, participants from other schools and researchers.

The trajectory of one team through three NIC activities – a video club, a pitch and user testing – shows how they examined their own conferring practice, got ideas for change and shifted their thinking and practice toward a more student-centered approach. Insights from the case suggest three design principles – a common problem of practice, shared representations of practice and intentional network configurations – for deeper professional learning, or learning experiences that engage educators in purposeful and collaborative inquiry into deeper learning practices.

Two limitations of the case are a lack of data on the perceived experience of participants, which could speak to the depth of Irving’s shift toward student-centered conferring, and the narrow time scope of the NIC, which limits exploration of the sustainability of the changes to conferring.

The design principles represent important features for researchers and leaders to consider in ongoing efforts to scale deeper learning. Leaders might use the principles to examine existing or future professional learning efforts.

This case study extends an understanding of one facet of leadership for deeper learning: fostering professional community. Future research is needed to examine the educator experience of participating in deeper professional learning and its sustained impact on practices.

Pakistan had never been a place of serious and nuanced debate and contestation of politics of postcolonial critique, that is, the continuity of economic, political, and cultural dependency of newly independent countries (NICs) on ex-colonizers as pointed out by neocolonialism, dependency theory, and postcolonial theory, respectively. Instead, Pakistan is presented by extant liberal academic literature as a “failed nation” and a state dominated by the military and plagued by religious extremism. As opposed to this, through the literary and activists writings of Aziz-ul-Haq, this chapter will try to illustrate how cultural contestation of the nation-building project postindependence from British rule was a lot more complex and interesting in Pakistan. This was so because the nation-building project of Pakistan was, on the one hand, an amalgamation of Indo-Persian, Arab, Indian, and Western colonial and civilizational influences and, on the other hand, entailed suppression of resilient local and national cultures of its constituent nationalities developed over centuries. This was later expressed in ethno-nationalist politics. However, when it came to the politics of the marginalized in the late 1960s, there were important political, theoretical, and literary insights which caused a change in the direction of political practice in Pakistan, which paralleled the politics expressed by writers like Fanon and early Subaltern Studies influenced by the Naxal Movement in India. The contestation and confusion arising from this dialectic also entered Pakistan's literary and cultural sphere. This chapter not only tries to give a different postcolonial critique of the failure of nation-building project in Pakistan but, though at a preliminary level, is an attempt to separate the original postcolonial theory in its radical tradition from contemporary postmodern/poststructuralist postcolonial theory marked with pessimism and resignation.

With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the latest available June 2022 COVID-19 impact data.

Amid people’s growing mistrust in the government, India’s news media enhanced the nation’s distinguished designation as the world’s largest and most populous democracy. India’s news media inform, educate, empower, and entertain a surging population of 1.4 billion people, which is roughly one-sixth of the world’s people.

Drawing upon the media agendamelding theoretical framework, we conducted a case study research into interplay between two prominent democratic institutions, the media and the government, to analyze the role of the COVID-19 pandemic in redefining India’s networked society.

India’s COVID-19 pandemic aggravated internecine tensions between media and government relating to four key freedom issues: (1) world’s largest COVID-19 lockdown affecting 1.3 billion Indians from March 25, 2020 to August 2020 with extensions and five-phased re-openings, to restrict the spread of COVID-19; (2) Internet shutdowns; (3) media censorship during the 1975–1977 “Emergency”; and (4) unabated murders of journalists in India.

Although the COVID-19 pandemic caused deleterious problems debilitating the tensions between the media and the government, India’s journalists thrived by speaking truth to power. This study delineates key aspects of India’s media agendamelding that explicates how the people of India form their media agendas. India’s news audiences meld media messages from newspapers, television, and social media to form a picture of the issues, insights, and ideas that define their lives and times in the 21st century digital age.

Our study aims to focus on the application of knowledge mapping to provide pedagogically-structured learners' competences.

We conducted an experiment examined the associations between the pedagogical quality of students’ pedagogically-informed knowledge (PIK) maps, class assignment scores and perceptions of PIK mapping’s uses.

The results showed that higher assignment scores were significantly predicted by higher quality PIK maps, ratings for PIK mapping were significantly higher than other mappings, and the learners’ experience of PIK mapping led to a significant change of attitude towards mapping as a learning activity and to a positive opinion of the value of PIK mapping in particular. Interestingly, there was no significant relation between learners’ opinion ratings of the uses of PIK mapping in learning and their assignment scores.

Questions remain on the generalizability of the findings, and on the features of a PIK map which are particularly useful to a learner. This study investigated the value of PIK mapping in the context of a practical class on the building of simple DIY (do-it-yourself) holographic projectors; it may be thought that the applied nature of the topic was more suited to the PIK mapping of learner competences and intended learning outcomes than a more theoretic classroom topic on holography. A future study is planned to address this issue.

Depression is a mental health problem characterized by a persistent sense of sadness and loss of interest. EEG signals are regarded as the most appropriate instruments for diagnosing depression because they reflect the operating status of the human brain. The purpose of this study is the early detection of depression among people using EEG signals.

(i) Artifacts are removed by filtering and linear and non-linear features are extracted; (ii) feature scaling is done using a standard scalar while principal component analysis (PCA) is used for feature reduction; (iii) the linear, non-linear and combination of both (only for those whose accuracy is highest) are taken for further analysis where some ML and DL classifiers are applied for the classification of depression; and (iv) in this study, total 15 distinct ML and DL methods, including KNN, SVM, bagging SVM, RF, GB, Extreme Gradient Boosting, MNB, Adaboost, Bagging RF, BootAgg, Gaussian NB, RNN, 1DCNN, RBFNN and LSTM, that have been effectively utilized as classifiers to handle a variety of real-world issues.

1. Among all, alpha, alpha asymmetry, gamma and gamma asymmetry give the best results in linear features, while RWE, DFA, CD and AE give the best results in non-linear feature. 2. In the linear features, gamma and alpha asymmetry have given 99.98% accuracy for Bagging RF, while gamma asymmetry has given 99.98% accuracy for BootAgg. 3. For non-linear features, it has been shown 99.84% of accuracy for RWE and DFA in RF, 99.97% accuracy for DFA in XGBoost and 99.94% accuracy for RWE in BootAgg. 4. By using DL, in linear features, gamma asymmetry has given more than 96% accuracy in RNN and 91% accuracy in LSTM and for non-linear features, 89% accuracy has been achieved for CD and AE in LSTM. 5. By combining linear and non-linear features, the highest accuracy was achieved in Bagging RF (98.50%) gamma asymmetry + RWE. In DL, Alpha + RWE, Gamma asymmetry + CD and gamma asymmetry + RWE have achieved 98% accuracy in LSTM.

A novel dataset was collected from the Central Institute of Psychiatry (CIP), Ranchi which was recorded using a 128-channels whereas major previous studies used fewer channels; the details of the study participants are summarized and a model is developed for statistical analysis using N-way ANOVA; artifacts are removed by high and low pass filtering of epoch data followed by re-referencing and independent component analysis for noise removal; linear features, namely, band power and interhemispheric asymmetry and non-linear features, namely, relative wavelet energy, wavelet entropy, Approximate entropy, sample entropy, detrended fluctuation analysis and correlation dimension are extracted; this model utilizes Epoch (213,072) for 5 s EEG data, which allows the model to train for longer, thereby increasing the efficiency of classifiers. Features scaling is done using a standard scalar rather than normalization because it helps increase the accuracy of the models (especially for deep learning algorithms) while PCA is used for feature reduction; the linear, non-linear and combination of both features are taken for extensive analysis in conjunction with ML and DL classifiers for the classification of depression. The combination of linear and non-linear features (only for those whose accuracy is highest) is used for the best detection results.

Using an ecological model of child participation and drawing on newsletter data from schools across the United States of America (USA), this chapter statistically explores five state factors linked with school protests against gun violence: (1) children’s neighbourhood opportunity; (2) race/ethnicity; (3) voter preference for either a Republican or a Democratic president; (4) child participation policies; and (5) gun laws/violence/ownership. The chapter explores factors linked to both student participation in protests and student nonparticipation in protests that take place at their schools. Three factors were found to be associated with participation and nonparticipation: children’s neighbourhood opportunity, voters’ preference, and participation policies. Findings suggest that Democratic-voting states, mediated by education opportunity, predict the frequency of student protests against gun violence. In Republican-voting states, where education opportunity does not mediate the frequency of school protests, students still organised and participated in protests but to a lesser extent. In addition, states with high overall children’s neighbourhood opportunity and voting student education board members are highly likely to have non-protesting students in schools with protests. The chapter presents five conclusions from these results for the positive and negative exercise of child participation rights and considers what further multilevel explorations can be done to further test the framework employed for this analysis.

‘Tragedy of the commons’ is a powerful concept to analyse a variety of problems related to environmental sustainability. The commons problem can be solved if individuals behave altruistically. In the business context, this chapter studies the proposition that corporate social responsibility (CSR) can avert the tragedy of the commons by examining one case study in depth: Coca-Cola's bottling operations in Rajasthan, India. In spite of choosing a context favourable to the proposition, the results indicate that CSR does not avert the tragedy of the commons. To address the major environmental challenges, it is essential to develop regulatory regimes with appropriate incentives and ability to enforce sanctions.

The paper aims to present a framework for integrating the concepts of business continuity and business resilience with the aim of developing a concept of always-on business.

Literature review, conceptual and case-based.

A conceptual model for integrated “always-on business” solution based on continuous comouting technologies, business continuity, disaster recovery, IT/business resilience and several organational frameworks.

Presented framework can be used for integrating business continuity and business resilience in modern digital age; and transforming business systems into “always-on business”.

This study aims at offering a comprehensive thesis about the relationship between different cultural values and innovativeness.

Building on the human emancipation perspective and using data from Hofstede’s, Schwartz’s, and Inglehart’s cultural frameworks, the authors conduct a cross-national investigation into the effects of cultural values on national innovativeness.

The analyses show that emancipatory cultural dimensions such as rationality, secularity, self-expression, individualism, low uncertainty avoidance, long-term orientation, mastery and autonomy have significantly positive associations with national innovativeness. The opposing cultural values, such as traditionalism, religiosity, survival, collectivism, high uncertainty avoidance, short-term orientation, harmony and conservatism, have negative associations with national innovativeness.

This study contributes to the literature by putting forward a comprehensive and theory-driven explanation of the relationship between cultural values and innovativeness, by using all of Hofstede’s, Schwartz’s and Inglehart’s dimensions, by incorporating ethnic, linguistic and religious diversities and by applying alternative measures of the national innovativeness.