bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Nigerian Pharmaceutical Supply Chain: Blockchain Adoption, Counterfeit Drugs and Successful Deployment of COVID-19 Vaccine in Nigeria
Authors: Labaran Muhammad Jameel , Hamma-Adama Mansur 
Published: May 2021

Aim: Critically investigating the possibility of adopting blockchain technology within the Nigerian pharmaceutical supply chain to curb the supply of counterfeit drugs.
Study Design: The study is qualitative in nature and the primary data were fetched through interviews.
Place and Duration of the Study: Conducted within Nigeria for a period of 3 months.
Methodology: A qualitative method of data collection was adopted in the study, where some stakeholders were interviewed. The interviews were conducted with employees from different pharmaceutical companies and some drug regulatory agencies in Nigeria.
Result: Firstly, this study has ascertained the current prevalence of counterfeit drugs and the reasons for that. The study discovers a very high level of counterfeit drugs and some reasons behind that. Secondly, this study has also found some barriers to blockchain adoption, including the fact that the level of awareness of blockchain technology among stakeholders within the Nigerian pharmaceutical supply chain and the regulatory agencies is very low.
Conclusion: It was concluded that the efforts put in developing a viable COVID-19 vaccine could be undermined due to the current nature of the Nigerian pharmaceutical supply chain, the nature of porous borders in place, absence of an apparent drug distribution system, among others. This study also concludes that the supply chain's current structure needs more regulatory and structural interventions by the Nigerian government than blockchain technology. In other words, with the current nature of the supply chain, blockchain technology adoption would not be effective in delivering the said benefits reported by scholars because the atmosphere is not conducive for successful blockchain adoption.
Correlating Ultrafast Dynamics, Liquid Crystalline Phases, and Ambipolar Transport in Fluorinated Benzothiadiazole Dyes
Authors: Boehme Simon Christian , Tchamba Yimga Nadine , Frick Achidi , Gunst Susann , Untenecker Harald , Kennis John T. M. , van Stokkum Ivo H. M. , Kirsch Peer , von Hauff Elizabeth 
Published: May 2021

AbstractA key challenge in the field of organic electronics is predicting how chemical structure at the molecular scale determines nature and dynamics of excited states, as well as the macroscopic optoelectronic properties in thin film. Here, the donor–acceptor dyes 4,7‐bis[5‐[4‐(3‐ethylheptyl)‐2,3‐difluorophenyl]‐2‐thienyl]‐2,1,3‐benzothiadiazole (2,3‐FFPTB) and 4,7‐bis[5‐[4‐(3‐ethylheptyl)‐2,6‐difluorophenyl]‐2‐thienyl]‐2,1,3‐benzothiadiazole (2,6‐FFPTB) are synthesized, which only differ in the position of one fluorine substitution. It is observed that this variation in chemical structure does not influence the energetic position of the molecular frontier orbitals or the ultrafast dynamics on the FFPTB backbone. However, it does result in differences at the macroscale, specifically regarding structural and electrical properties of the FFPTB films. Both FFPTB molecules form crystalline films at room temperature, whereas 2,3‐FFPTB has two ordered smectic phases at elevated temperatures, and 2,6‐FFPTB does not display any liquid crystalline phases. It is demonstrated that the altered location of the fluorine substitution allows to control the electrostatic potential along the molecular backbone without impacting molecular energetics or ultrafast dynamics. Such a design strategy succeeds in controlling molecular interactions in liquid crystalline phase, and it is shown that the associated molecular order, or rather disorder, can be exploited to achieve ambipolar transport in FFPTB films.
Family logics and environmental sustainability: A study of the New Zealand wine industry
Authors: Kariyapperuma Nishanthi , Collins Eva 
Published: May 2021

AbstractThe majority of small‐ and medium‐sized enterprises (SMEs) in the wine industry are family owned and operated providing a unique organisational structure to study environmental sustainability engagement. However, researchers at the intersection of environmental sustainability (ES) and family businesses tend to oversimplify family businesses as homogeneous regarding ES. Therefore, the broader goal of this paper is to investigate the antecedents of heterogeneities among family firms related to ES. The paper aims to understand how family firms portray different aspects of family influence (family goals, family values, culture and ethics, and the imprints of the founders and the next generation) in their ES disclosures. Family logics are used as a theoretical lens to analyse family influence. A qualitative content analysis of 72 corporate websites of family firms operating in the New Zealand wine industry was conducted. Antecedents of heterogeneities were revealed with a discussion of three typologies of family firms: family first, business first and upstarts.
Assessing acoustic competition between sibling frog species using rhythm analysis
Authors: Filer Alannah , Burchardt Lara S. , van Rensburg Berndt J. 
Published: May 2021

AbstractMale frog advertisement calls are species‐specific vocalizations used to attract females for breeding. However, it is possible for environmental or biological sounds to overlap these calls in both frequency and duration resulting in signal confusion, influencing female decision and/or location abilities. It is therefore important for vocal species competing for the same acoustic space to partition their calls either spatially or temporally (via call alternation or suppression). However, frog species previously isolated from each other may not have developed appropriate adaptive behaviors, resulting in acoustic competition. This study applied rhythm analysis to track changes in calling behavior, namely changes in calling frequency (as in beats per second), of the wallum sedgefrog and the eastern sedgefrog when vocalizing alone versus in the presence of each other to assess potential acoustic competition. Our main findings demonstrated that both species significantly altered their calling behavior when exposed to each other. While we expected the increased calling activity of one species to inhibit the activity of the other to avoid signal confusion, we instead found that both species greatly increased the beat frequency of their calls when calling in the presence of each other. We also found evidence of beat frequency development in the wallum sedgefrog whereby there was always a strong initial increase in call frequency in reaction to the first vocal interruption by the eastern sedgefrog. These results support the hypothesis that the eastern sedgefrog and the wallum sedgefrog are in competition for the acoustic space in habitats where they occur together. This highlights a new threat to the vulnerable wallum sedgefrog species and may serve to inform future management practices. Using rhythm analyses to track changes in acoustic behavior can help inform on important population dynamics such as health, trajectory, and response to management, and therefore be of great benefit to the conservation of vocal species.
Grapevine rootstocks affect growth‐related scion phenotypes
Authors: Migicovsky Zoë , Cousins Peter , Jordan Lindsay M. , Myles Sean , Striegler Richard Keith , Verdegaal Paul , Chitwood Daniel H. 
Published: May 2021

AbstractGrape growers use rootstocks to provide protection against pests and pathogens and to modulate viticulture performance such as shoot growth. Our study examined two grapevine scion varieties (‘Chardonnay’ and ‘Cabernet Sauvignon’) grafted to 15 different rootstocks and determined the effect of rootstocks on eight traits important to viticulture. We assessed the vines across five years and identified both year and variety as contributing strongly to trait variation. The effect of rootstock was relatively consistent across years and varieties, explaining between 8.99% and 9.78% of the variation in growth‐related traits including yield, pruning weight, berry weight and Ravaz index (yield to pruning weight ratio). Increases in yield due to rootstock were generally the result of increases in berry weight, likely due to increased water uptake by vines grafted to a particular rootstock. We demonstrated a greater than 50% increase in yield, pruning weight, or Ravaz index by choosing the optimal rootstock, indicating that rootstock choice is crucial for grape growers looking to improve vine performance.
Parametrized classifiers for optimal EFT sensitivity
Authors: Chen Siyu , Glioti Alfredo , Panico Giuliano , Wulzer Andrea 
Published: May 2021

AbstractWe study unbinned multivariate analysis techniques, based on Statistical Learning, for indirect new physics searches at the LHC in the Effective Field Theory framework. We focus in particular on high-energy ZW production with fully leptonic decays, modeled at different degrees of refinement up to NLO in QCD. We show that a considerable gain in sensitivity is possible compared with current projections based on binned analyses. As expected, the gain is particularly significant for those operators that display a complex pattern of interference with the Standard Model amplitude. The most effective method is found to be the “Quadratic Classifier” approach, an improvement of the standard Statistical Learning classifier where the quadratic dependence of the differential cross section on the EFT Wilson coefficients is built-in and incorporated in the loss function. We argue that the Quadratic Classifier performances are nearly statistically optimal, based on a rigorous notion of optimality that we can establish for an approximate analytic description of the ZW process.
Defining Polyamory: A Thematic Analysis of Lay People’s Definitions
Authors: Cardoso Daniel , Pascoal Patricia M. , Maiochi Francisco Hertel 
Published: May 2021

AbstractThis study aimed to analyze laypeople’s definitions of polyamory and compare definitions presented by people who are not willing to engage in consensual non-monogamy (CNM) and those who are or are willing to be in a CNM relationship. This exploratory qualitative study used data collected from a convenience sample through a web survey, where people answered the question “What does polyamory mean?” We conducted thematic analysis to examine patterns in meaning and used demographic data to compare themes among groups. The final sample comprised 463 participants aged 18–66 years (M = 32.19, SD = 10.02), mostly heterosexual (60%). Of the total sample, 54% were in a monogamous relationship, followed by 21% not in a relationship, and 13% in a non-monogamous relationship. Analysis showed that people define polyamory mostly as a set of behaviors in a relationship, followed by the potential of multiple relationships or feelings for multiple people. Definitions also include emotional, sexual, and ethical aspects. People in CNM relationships are more likely to define polyamory as constituting a potential form of relating, focus more on interpersonal feelings and ethics, and include consent in their definitions than those unwilling to engage in CNM. People in CNM relationships also focus particularly on the non-central role of sex within these relationships, which might challenge assumptions about sexuality in these relationships in clinical and research settings.
Developing a monitoring program of genetic diversity: what do stakeholders say?
Authors: Pärli Rea , Lieberherr Eva , Holderegger Rolf , Gugerli Felix , Widmer Alex , Fischer Martin C. 
Published: May 2021

AbstractGenetic diversity is a fundamental component of biological diversity, and its conservation is considered key to ensure the long-term survival of natural populations and species. National and international legislation increasingly mandates a monitoring of genetic diversity. Examples are the United Nation’s Convention on Biological Diversity (CBD) Aichi target 13 and the current post-2020 negotiations to specify a new target for maintaining genetic diversity. To date, only a few pilot projects have been launched that systematically monitor genetic diversity over time in natural populations of a broad variety of wild species. The Swiss Federal Office for the Environment mandated a feasibility study in 2019 for implementing a national monitoring of genetic diversity in natural populations. To obtain information on whether stakeholders are interested in such a systematic monitoring, what they would expect from such a monitoring and where they see respective caveats, we conducted an online survey, which 138 (42% of those surveyed) Swiss stakeholders answered. We find that Swiss stakeholders are generally aware of the lacking evidence regarding the status of genetic diversity in wild populations and species. Accordingly, most stakeholders are interested in a monitoring of genetic diversity and see opportunities for the application of its results in their work. Nevertheless, stakeholders also expressed concerns regarding financial resources and that the results of a genetic diversity monitoring program would not benefit conservation practice. Our findings highlight the importance of stakeholder engagement and demonstrate the value of a detailed stakeholder analysis prior to developing and implementing a genetic diversity monitoring program. A powerful tool for examining the constellation and interactions of the different stakeholders are social network analyses (SNAs). Finally, it is particularly important to communicate transparently about the possibilities and limitations of a genetic diversity monitoring program as well as to closely involve stakeholders from the beginning to increase the acceptance of genetic diversity monitoring and facilitate its implementation.
The effect of performance-oriented funding in higher education: evidence from the staff recruitment budget in Italian higher education
Authors: Fadda Nicoletta , Marinò Ludovico , Pischedda Gianfranco , Ezza Alberto 
Published: May 2021

AbstractThis study, which aims to investigate some potential effects derived from the adoption of performance-oriented funding in the higher education system, is focused on competitive allocative mechanism to provide universities with the staff recruitment budget in the Italian Higher Education System using panel data spanning the period 2012–2018 for 58 public universities. Results show that the geographical area in which universities operate influences their capacity to increase performance and thus financial resources. Indeed, universities located in Northern areas, the wealthier part of Italy, received a higher amount of resources than those located in the rest of the country. These findings reveal the key role played by external factors, which are beyond the control of management, in universities’ capacity to achieve better performance. Results also suggest that policy-makers should identify the correct trade-off between the quest for higher performance within the Italian Higher Education System and equity in resource allocation.
Circ_0020093 ameliorates IL-1β-induced apoptosis and extracellular matrix degradation of human chondrocytes by upregulating SPRY1 via targeting miR-23b
Authors: Feng Mingli , Jing Lin , Cheng Jingbo , An Shuai , Huang Jiang , Yan Qi 
Published: May 2021

AbstractOsteoarthritis (OA) is a chronic disease characterized by articular cartilage degeneration and uncontrolled chondrocyte apoptosis. At present, accumulating evidence introduces that circular RNA (circRNA) is involved in the development of OA. The aim of our study was to explore the role and the functional mechanism of circ_0020093 in OA cell model. Human chondrocytes were treated with interleukin-1 beta (IL-1β) to construct OA model. The expression of circ_0020093, miR-23b, and Sprouty 1 (SPRY1) mRNA was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Cell apoptosis was assessed by flow cytometry assay. The expression of extracellular matrix (ECM)-associated markers and SPRY1 protein level was detected by qRT-PCR and Western blot. Bioinformatics analysis-predicted relationship between miR-23b and circ_0020093 or SPRY1 was further verified by dual-luciferase reporter assay and RNA pull-down assay. In this study, we found that the expression of circ_0020093 and SPRY1 was declined, while miR-23b expression was elevated in IL-1β-treated chondrocytes. IL-1β induced chondrocyte apoptosis and ECM degradation, while these negative effects were alleviated by circ_0020093 overexpression or miR-23b inhibition. MiR-23b was a target of circ_0020093, and SPRY1 was a downstream target of miR-23b. Rescue experiments showed that miR-23b enrichment reversed the role of circ_0020093 overexpression, and SPRY1 knockdown also reversed the effects of miR-23b inhibition. Importantly, circ_0020093 positively regulated SPRY1 expression by targeting miR-23b. In conclusion, circ_0020093 ameliorates IL-1β-induced apoptosis and ECM degradation of human chondrocytes by regulating the miR-23b/SPRY1 axis.
PhyDSLK: a model-driven framework for generating exergames
Authors: Baldassarre Maria Teresa , Caivano Danilo , Romano Simone , Cagnetta Francesco , Fernandez-Cervantes Victor , Stroulia Eleni 
Published: May 2021

AbstractIn recent years, we have been witnessing a rapid increase of research on exergames—i.e., computer games that require users to move during gameplay as a form of physical activity and rehabilitation. Properly balancing the need to develop an effective exercise activity with the requirements for a smooth interaction with the software system and an engaging game experience is a challenge. Model-driven software engineering enables the fast prototyping of multiple system variants, which can be very useful for exergame development. In this paper, we propose a framework, PhyDSLK, which eases the development process of personalized and engaging Kinect-based exergames for rehabilitation purposes, providing high-level tools that abstract the technical details of using the Kinect sensor and allows developers to focus on the game design and user experience. The system relies on model-driven software engineering technologies and is made of two main components: (i) an authoring environment relying on a domain-specific language to define the exergame model encapsulating the gameplay that the exergame designer has envisioned and (ii) a code generator that transforms the exergame model into executable code. To validate our approach, we performed a preliminary empirical evaluation addressing development effort and usability of the PhyDSLK framework. The results are promising and provide evidence that people with no experience in game development are able to create exergames with different complexity levels in one hour, after a less-than-two-hour training on PhyDSLK. Also, they consider PhyDSLK usable regardless of the exergame complexity.
Vulnerability and Resilience in the Caribbean Island States; the Role of Connectivity
Authors: Pereira Edwina E. , Steenge Albert E. 
Published: May 2021

AbstractIt is well-known that small states, because of their size, tend to be less endowed with natural resources than big ones. This makes small states vulnerable and raises the question if specific policies can be implemented to offset the drawbacks of their small size and to increase resilience. We address this question in this paper, thereby focusing on the role of connectivity – between states, organisations, parties, or otherwise – in understanding a country’s vulnerability and resilience. Here ‘policies’ are interpreted as ‘institutions’ in the sense of Douglass C. North (1990), i.e. as ‘humanly devised constraints that structure political, economic and social interaction’. We focus on the Caribbean area, which is characterised by a wide variety of small states, each with its own set of rules and regulations. Within this area, we concentrate on the relationship between three Dutch Caribbean islands, i.e., Aruba, Curaçao, and Sint Maarten, on the one hand, and the Netherlands, the former colonizer, on the other hand. As a first step we have measured the economic vulnerability and resilience of 17 Caribbean island states, both dependent and independent, employing the theoretical framework proposed by Lino Briguglio. The outcomes show that the three Dutch island states are performing comparatively well, although there are individual differences. We provide a first effort to explain this outcome in terms of the continuing interest of the three island states to keep their ties to the former colonizer viable. Here the presence of ‘systemic interest’ as shown by the stakeholders appears to be a most important variable.
An improved text classification modelling approach to identify security messages in heterogeneous projects
Authors: Oyetoyan Tosin Daniel , Morrison Patrick 
Published: May 2021

AbstractSecurity remains under-addressed in many organisations, illustrated by the number of large-scale software security breaches. Preventing breaches can begin during software development if attention is paid to security during the software’s design and implementation. One approach to security assurance during software development is to examine communications between developers as a means of studying the security concerns of the project. Prior research has investigated models for classifying project communication messages (e.g., issues or commits) as security related or not. A known problem is that these models are project-specific, limiting their use by other projects or organisations. We investigate whether we can build a generic classification model that can generalise across projects. We define a set of security keywords by extracting them from relevant security sources, dividing them into four categories: asset, attack/threat, control/mitigation, and implicit. Using different combinations of these categories and including them in the training dataset, we built a classification model and evaluated it on industrial, open-source, and research-based datasets containing over 45 different products. Our model based on harvested security keywords as a feature set shows average recall from 55 to 86%, minimum recall from 43 to 71% and maximum recall from 60 to 100%. An average f-score between 3.4 and 88%, an average g-measure of at least 66% across all the dataset, and an average AUC of ROC from 69 to 89%. In addition, models that use externally sourced features outperformed models that use project-specific features on average by a margin of 26–44% in recall, 22–50% in g-measure, 0.4–28% in f-score, and 15–19% in AUC of ROC. Further, our results outperform a state-of-the-art prediction model for security bug reports in all cases. We find using sound statistical and effect size tests that (1) using harvested security keywords as features to train a text classification model improve classification models and generalise to other projects significantly. (2) Including features in the training dataset before model construction improve classification models significantly. (3) Different security categories represent predictors for different projects. Finally, we introduce new and promising approaches to construct models that can generalise across different independent projects.