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                <text>Purpose&#13;
This study aims to fill the gap on proenvironmental behavior studies among consumers in bottom of the pyramid (BOP) market by examining the relationship between values, beliefs and norms among Ghanaian consumers.&#13;
Design/methodology/approach&#13;
A sample of 324 Ghanaian consumers (responses rate of 64%) was used to estimate the model. The data was analyzed using maximum likelihood robust approach of Lavaan package for structural equation modeling in R.&#13;
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The findings show that there is no significant relationship between values and the new ecological worldview, which also does not affect awareness of environmental consequences. However, awareness of consequences, likely based on personal experiences, significantly impacts perceived ability to reduce threats to the environment. Ghanaian consumers are mainly influenced by personal experiences with local environmental …</text>
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                <text>Few tourism sites possess the combined attributes of dark tourism and diaspora tourism, and journeys to these liminal spaces can unearth complex and nuanced emotions. While previous studies have added knowledge to the experiences of diaspora tourists, little is known about the liminal experiences at dark diaspora tourism sites. While most studies attempt to explore the experiences of tourists to destinations, there is neoteric interest in understanding the hermeneutics of these experiences by offering insights into the contextual interpretation of events. To investigate these, we integrate liminality and stimulus organism theories within a framework of interpretive phenomenology methodology. Forty interviews were conducted with dark diaspora tourists. The study revealed minor and major themes including enlightenment, visceral conflicts, identity dilemmas, and renegotiation of diasporic experiences. Ultimately, it …</text>
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                <text>Differential Privacy in Artificial Intelligence: From Theory to Practice is a comprehensive resource designed to review the principles and applications of differential privacy in a world increasingly driven by data. This book delves into the theoretical underpinnings of differential privacy, its use in machine learning systems, practical implementation details, and its broader social and legal ramifications. Intended as a primer and a deep dive, it lays a solid foundation by introducing essential concepts and mechanisms critical to understanding differential privacy.&#13;
&#13;
From theoretical foundations to practical application, the book is organized into five distinct parts. Part I reviews the foundational notions of differential privacy in the central and local models, delving into composition and privacy amplification. The discussion extends to practical strategies for data release and the creation of synthetic data, which is essential for real-world applications. Part II focuses on the application of differential privacy in optimization and learning, examining the integration of privacy measures in machine learning, including private optimization methods and private federated learning.&#13;
&#13;
Beyond technical applications, the book highlights the use of differential privacy in critical sectors such as healthcare and energy and discusses its implications in image and video analysis in Part III. Part IV provides a thorough look at the tools and challenges in deploying privacy-preserving models, including insights into programming frameworks and machine learning tools. Finally, Part V addresses the societal impact of differential privacy, discussing its intersection with public policy, law, fairness, and bias.&#13;
&#13;
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&#13;
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Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease, hypertension has not received the needed attention in Ghana as a result of various competing interests for scarce health resources. This systematic review and meta-analysis provides a comprehensive and updated summary of the literature on the prevalence of hypertension in Ghana.&#13;
Methods&#13;
Major databases such as MEDLINE, EMBASE, and Google Scholar and local thesis repositories were accessed to identify population-based studies on hypertension among Ghanaians. Data extracted from retrieved reports were screened independently by two reviewers. The quality of eligible studies was evaluated and reported. A reliable pooled estimate of hypertension prevalence was …</text>
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