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The purpose of the study is to investigate the challenges in improving women's energy access, rights and equitable sustainable development from a Ghanaian perspective.

The research utilizes a mixed method. A qualitative in-depth exploratory design was chosen to understand how gender is mainstreamed within Ghana's energy sector. This included semi-structured interviews with key managers, experience policy experts and focus groups. The semi-structured interviews were analyzed using thematic content analysis (TCA).

The study reveals that the National Energy Policy of 2010, as the main energy policy regulating the energy sector in Ghana, does make provision for gender equality, safety especially women, in line with Ghana's sustainable development goals. The energy policy aims to empower women and create gender parity in the sector. Nevertheless, the study also found major challenges to gender mainstreaming in the energy sector, including poor analysis in formulating energy policies, inadequate financial resources, and poor monitoring and evaluation.

The paper exposes gender equity challenges associated with the energy sector in Ghana. It also offers a new policy angle which connects gender mainstreaming to sustainable development. The research describes how women are included in developing energy policies and in addressing gender challenges in the energy sector.

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.

While known by many names, qualifying exams function as gatekeepers to graduate student advancement to PhD candidacy, yet there has been little formal study on best qualifying exam practices particularly in biomedical and related STEM PhD programs. The purpose of this study is to examine the current state of qualifying exams through an examination of the literature and exploration of university-wide policies.

The authors conducted a literature review of studies on qualifying exams and completed an external evaluation of peer institutions’ and internal institutional qualifying exam requirements to inform our discussion of qualifying exams practices in PhD training at a research-intensive US institutions.

This study identified the need for more research on qualifying exams to establish evidence-based best practices. The authors found a wide variety of qualifying exam formats, with little evidence in support for specific formats. The authors also found little evidence that student expectations are made clear. The lack of evidence-based best practices coupled with insufficient clarity for students has a real potential to disadvantage PhD students, particularly first generation, underrepresented minority, international and/or other trainees who are not privileged or socialized to navigate training environments with vague landmarks such as the qualifying exams.

There are very few studies that evaluate qualifying exams in US doctoral education, particularly in STEM fields, and to the authors’ knowledge, there has been no analysis of campus-wide policies on qualifying exams reported. The lack of evidence for best practices and the need for to evaluate the implementation and effectiveness of qualifying exams are discussed.

Alcohol, tobacco, marijuana and other drugs use typically increases in prevalence and frequency during middle and late adolescence. School health instruction often focusses on providing facts and rarely provides tools for addressing the psychosocial risk factors needed to prevent substance use. The purpose of this paper is to report about the effectiveness of a prevention programme delivered in US high school health classes. The intervention augments typical instruction by providing teachers with activities that can be infused in their daily teaching.

In total, 26 schools were randomly assigned to receive the intervention or serve as controls. Pupils were pretested near the beginning of the school year, posttest near the end of the school year and administered a final test near the beginning of the following school year. Teachers in treatment schools were provided with activities designed to target psychosocial variables known to mediate substance use onset and self-initiated cessation. These include normative beliefs, intentionality, lifestyle incongruence, beliefs about consequences of use, peer pressure resistance skills, decision-making skills, goal setting skills and stress management skills.

Hierarchical modelling analytic strategies revealed the intervention to have definable positive impacts on alcohol and cigarette use. Moreover, the intervention had strongest effects on alcohol and cigarette use among pupils who were identified at pretest as being lower-than-average risk.

This research provides support for providing teachers with a strategy for preventing alcohol, tobacco and other drugs that can be used in a flexible manner to augment the instruction they are already mandated to provide.

In this paper, the authors show that ecological restoration potential through natural regeneration of degraded tropical rainforest is possible. This is significant because at present most of the tropical forest of the world, including of Bangladesh, are degraded.

Regeneration status of Chunati Wildlife Sanctuary (CWS) was assessed through stratified random sampling method using sample plots of 5 × 5 m in size covering 269 sample plots.

A total of 3,256 regenerating seedlings/saplings of 105 species belonging to 35 families were recorded from CWS. From regenerating tree species, maximum (37.83) family importance value (FIV) index was found for Euphorbiaceae followed by Myrtaceae (18.03). Maximum importance value index (IVI) was found for Aporosa wallichii (21.62) followed by Grewia nervosa (16.41). Distribution of seedlings into different height classes of regenerating tree species was also calculated.

Forest scientists are working to find out the best nature-based solution for ecological restoration of tropical rainforests to attain climate resilient ecosystem in a sustainable way. Tropical rain forest has huge plant diversity, and we find that ecological restoration is possible through natural regeneration from its rich soil seed bank. Natural regeneration is the best nature-based solution for sustainable management of the forest.

The authors believe that the findings presented in our paper will appeal to the forest and environmental scientists. The findings will allow readers to understand degraded tropical hill forest ecosystem and its management strategy.

The authors believe that this manuscript will give a clear picture about degraded tropical hill forest ecosystem and its genetic composition, diversity and soil seed bank status to apply appropriate management strategy.

Tourism may have important positive and negative economic, socio-cultural and environmental impacts. However, cultural and natural resources are also the base to the development of competitive destinations and changes in these resources can have an important impact on tourism development. Despite the considerable literature regarding the impacts of tourism, a limited number of studies examine the impact of the environment on tourism, specifically the impact of air quality (AQ). Therefore, this paper aims to review what is known about the impact of AQ on tourism demand, analysing the different methods and approaches used, as well as the results obtained.

A systematic literature review method was used to examine the state of the art in this topic and identify research gaps and new research directions. Only 26 papers were identified that examine the impact of AQ on tourism demand.

The majority of the studies were carried out in China and investigate the impact of AQ on tourism from the perspective of tourism demand. Both global (tourism demand) and individual (tourist perceptions) approaches have been used to investigate the impact of AQ on tourism.

This is the first systematic literature review on the impact of outdoor AQ on tourism demand. Moreover, this paper analyses the methods and approaches that have been used in the literature to examine the impact of outdoor AQ on tourism demand. The paper ends with a discussion on the identified research gaps concerning the influence of AQ on tourism development.

This practice forum paper aims to present a theoretical framework to better develop the required supply chain management (SCM) competencies and the workforce needed for managing public health supply chains.

This framework is driven by iterative systems thinking, a deeper consideration of the SCM labor market and a comprehensive mapping of human resource system requirements. The framework centers around three tools. A labor market analysis assesses factors influencing supply of and demand for health SCM workers in a country context. To improve supply of and demand for workers, the SCM Professionalisation Framework provides reference documents to establish health SCM as a recognized profession. The human resources for SCM Theory of Change explains and assesses the conditions required to achieve optimal workforce performance at the organizational level. The Ministry of Health in Rwanda applied these three tools sequentially to assess and improve the supply and performance of its health SCM workforce.

The authors describe this framework, how the tools were applied in Rwanda, and early impressions of the results.

Practitioners can apply this approach to improve SCM competence and promote the attractiveness of health SCM positions by formalizing their professional status. This could lead to a pool of individuals who seek SCM qualifications and, in time, overcome the current shortage of health SCM workers. Employers can apply this approach to structured roles and workforce needs to meet health SCM system requirements. This would lead to a greater demand for and use of appropriately trained personnel.

This paper presents a novel, iterative, systems-thinking approach to develop human resources in public health supply chains. Rwanda is the first country to apply all three tools using this framework.

Investigate the effects on audiences of musical events based on the digital simulation of artists who have already passed away, utilizing comments on YouTube recordings of these events.

Comparative analysis of the two most viewed videos of events featuring the singers Michael Jackson and 2Pac, with a combined total of 150,000,000 views and 100,000 comments, employing a quantitative and qualitative linguistic analysis of the most frequent words in the comments.

The Michael Jackson event elicits ambiguous reactions from audiences who appreciate the opportunity to see an artist who has already passed away but simultaneously express unease due to the fact that the artist is deceased. The comparison with the 2Pac event, which is received more positively, suggests that the technological quality of the simulation is a determining factor in making the experience of the event positive or negative. This implies that technology serves to make the event more lifelike.

This is the first systematic study of audiences of digital post-mortem musical events based on YouTube comments. It claims that the simulation of the artist is not merely a reproduction of the artist as they were alive, but a different type of event that can evoke equally strong emotions because it challenges the barrier of death.

While one-third of Australians live outside major cities, there are ongoing challenges in providing accessible, sustainable, and appropriate primary health care services in rural and remote communities. The purpose of this paper is to explore a partnership approach to understanding and addressing complex primary health workforce issues in the western region of New South Wales (NSW), Australia.

The authors describe how a collaboration of five organisations worked together to engage a broader group of stakeholders and secure commitment and resources for a regional approach to address workforce challenges in Western NSW. A literature review and formal interviews with stakeholders gathered knowledge, identified issues and informed the overarching approach, including the development of the Western NSW Partnership Model and Primary Health Workforce Planning Framework. A stakeholder forum tested the proposed approach and gained endorsement for a collaborative priority action plan.

The Western NSW Partnership Model successfully engaged regional stakeholders and guided the development of a collaborative approach to building a sustainable primary health workforce for the future.

Given the scarcity of literature about effective partnerships approaches to address rural health workforce challenges, this paper contributes to an understanding of how to build sustainable partnerships to positively impact on the rural health workforce. This approach is replicable and potentially valuable elsewhere in NSW, other parts of Australia and internationally.

This pilot is a pre/post comparative assessment of a leadership course developed and delivered using an innovative, ontological/phenomenological model of education. Participants in the course delivered in Singapore in July of 2014 provided measures of the effectiveness of their leadership before and after the course, using a scale from 1 (least effective) to 10 (most effective). The difference in scores from pre- to post-course was the unit of measure. Of 167 participants, 72% provided pre- and post-course measures. Average scores forparticipants’ effectiveness as leaders in the domains of Relationships, Vocation, Avocation, and Self increased from pre- to post-course by 1.9, 1.86, 1.64, and 1.85 respectively (p < 0.0001). Future research of this innovative model of leadership education will include long-term follow-up.