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This paper aims to map the evolution of hydrogen-based technologies (HBTs) by examining the patenting activity associated to these technlogies from 1930 to 2020. In doing so, the study provides a novel perspective on the development of HBTs and offers implications for managers and policymakers.

We collected patent data at the level of patent families (PFs). Our sample includes 317,089 PFs related to hydrogen production and 62,496 PFs to hydrogen storage. We examined PF data to delineate the state of the art and major technical advancements of HBTs.

Our analysis provides evidence of an increasing patenting activity in the area of HBTs, hence suggesting relatively high levels of expectations on the economic potential of these technologies. US and Japan hold the largest proportion of PFs related to HBTs (about 60%), while European applicants hold the highest proportion of highly cited PFs (about 60%). While firms represent the applicant with the highest share of PFs, our analysis reveals that firms holding HBT PFs are primarily from the chemical sector.

While our analysis is limited to examining patent data which capture some aspects of the innovation activity around HBTs (namelly, patented inventions), our study enriches existing literature by performinng a patent analysis on a much larger sample of data when compared to previous studies.

Two main implications emerge from our study. Firstly, there seems to be an urgent need to support the emergence of a dominant design so as to facilitate the consolidation and diffusion of the HBTs, hence the transition to a more sustainable energy production. Secondly, the majority of HBT PFs are held by a small number of countries. This, in turn, suggests opportunities to develop cross-country cooperation (e.g. international agreements, research and technology offices) to support the development and adoption of HBTs globally.

Considering the results obtained in this study, from a social point of view, the attention that organizations have paid to hydrogen related technologies is evident. This suggests that the development HBTs can function as a social enabler for a sustianable energy transition.

Extant research has focused on the individual components of the hydrogen chain. As a result, we lack a comprehensive understanding of the progress made in the area of HBTs. To address this gap, this study examined HBTs by focusing on both production and storage technologies since their initial developments, hence adopting an observation period of about 70 years.

Performance feedback about whether responses are correct or incorrect provides valuable information to help guide learning. Although feedback itself has no extrinsic value, it can produce subjective feelings similar to “rewards” and “punishments.” Therefore, feedback can play both an informative and a motivational role. Over the past decade, researchers have identified a neural circuit that processes reward value and promotes reinforcement learning, involving target regions of dopaminergic input (e.g., striatum and ventromedial prefrontal cortex). Importantly, this circuit is engaged by performance feedback even in the absence of reward. Recent research suggests that feedback-related brain activity can be modulated by motivational context, such as whether feedback reflects goal achievement, whether learners are oriented toward the informative versus evaluative aspect of feedback, and whether individual learners are motivated to perform well relative to their peers. This body of research suggests that the brain responds flexibly to feedback, based on the learner’s goals.

In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

The purpose of this paper is to discuss overdose among those with criminal justice experience and recommend harm reduction strategies to lessen overdose risk among this vulnerable population.

Strategies are needed to reduce overdose deaths among those with recent incarceration. Jails and prisons are at the epicenter of the opioid epidemic but are a largely untapped setting for implementing overdose education, risk assessment, medication assisted treatment, and naloxone distribution programs. Federal, state, and local plans commonly lack corrections as an ingredient in combating overdose. Harm reduction strategies are vital for reducing the risk of overdose in the post-release community.

Therefore, the authors recommend that the following be implemented in correctional settings: expansion of overdose education and naloxone programs; establishment of comprehensive medication assisted treatment programs as standard of care; development of corrections-specific overdose risk assessment tools; and increased collaboration between corrections entities and community-based organizations.

In this policy brief the authors provide recommendations for implementing harm reduction approaches in criminal justice settings. Adoption of these strategies could reduce the number of overdoses among those with recent criminal justice involvement.

The purpose of this study was threefold: to trace the extent to which digital transformation strategies are being implemented in organizations; to statistically measure, validate, predict and examine how digital leaders perceive a synthesized digital transformation model (DTM); and to explore whether leaders with different demographic characteristics perceive the DTM similarly.

The study authors surveyed 778 leaders/managers from the United Arab Emirates (UAE) to assess the synthetized DTM consisting of four dimensions and nine perception constructs that represent how leaders manage employees in a digital environment. The survey questions were adapted from the 2014 Westerman leading digital book published in Harvard business press.

The general findings revealed that UAE organizations that were already in the digital transformation stage before COVID-19 reacted and responded extremely quickly to speed up the implementation of their respective digital transformation strategies. We concluded that our proposed and synthetized DTM is valid and predictable, and can be adapted to trace the stages of digital transformation by leaders. A positive relationship was found between the DTM’s four dimensions and their related constructs as perceived by the leaders, regardless of differences in their demographic characteristics.

The synthesized digital transformation model is unique in that the authors believe there is no other research that purports to synthesize, validate and correlate using the digital transformation campus dimensions and its related constructs, reflecting leaders' perceptions toward adopting this campus. As well, this is the first UAE study to explore and compare the perspectives of leaders on their digital practices after COVID-19 in a country that has an established IT infrastructure.

This study is a post hoc service level investigation into the efficacy of a forensic dual diagnosis intervention. The treatment programme incorporated the principles of cognitive behavioural therapy and Motivational Interviewing, and was comprised of three stages: psycho-education into the links between mental/physical health, substance use and offending, the cultivation of coping strategies and relapse prevention planning. The paper aims to discuss these issues.

Treatment outcome was tracked using pre- and post- stage 1 and 2 measures, and included self-report questionnaires that probed service users’ readiness for change, motivations for treatment and perceived effectiveness of coping strategies (n=80 and 37 patients for stages 1 and 2, respectively). In addition, service users undertook a knowledge “quiz”, which probed information retention.

The results show that whilst psycho-education (stage 1) increased service users’ knowledge of key issues, this had no parallel effects on other measures. In contrast, completion of stage 2 led to an increase in external motivation for treatment, although this did not translate into a shift in service users’ readiness for change.

These findings are consistent with the Motivational Interviewing literature and highlight the need for a shift in internalised motivation for treatment if change is to be elicited. Further, they point towards the viability of using self-report measures to monitor treatment outcome in a secure forensic setting.

These findings have a number of implications for the design and on-going evaluation of forensic dual diagnosis services, an area of research that is currently under-represented in the literature.

The purpose of this paper is to present a review as well as a synthesis of the extant literature in the field of Neurofinance. The paper has been divided into eight parts. The first and second parts introduce the paper and dwell upon the brain functions in financial decisions. Part three presents the origin of Neurofinance and part four explains the difference between traditional finance, behavioural finance and neurofinance. Part five and six of the paper look into the research studies in Neurofinance and their application. Part seven gives a brief discussion on the limitations of neurofinance studies and part eight gives the conclusion.

The existing body of academic literature pertinent to the domain of Neurofinance was reviewed so as to provide an integrated portrayal and synthesis of the current level of knowledge in this field. This paper covers the insights on the subject for developing a deeper understanding of the investor's psychology.

Neurofinance is a very young discipline. It tries to relate the brain processes to the investment behaviour. Most of the researches in the domain of neurofinance focus on trading behaviour. It would be interesting to explore the workings of the brain for other investment behaviours too like personal financial planning decisions, etc.

Neurofinance is emerging as an alternate field of study and practice and this paper is an attempt to look at the development of Neurofinance and its role in developing a better understanding of the investor behaviour.