Conceptual Design and Feasibility Study of Winged Hybrid Airship

In recent years, hybrid airships have been identified as promising alternatives for high altitude, long endurance missions. In this study, a design methodology to study the feasibility of a winged hybrid airship powered by solar energy is presented. The proposed methodology involves five disciplines of the airship, viz., geometry, aerodynamics, environment, energy and structures that have been coupled in order to develop an optimum design which incorporates the maximum advantages of the modules. A total of fourteen design variables have been finalized, which are required to carry out the sizing of the envelope, wing, and solar panel layout. The Particle Swarm Optimization (PSO) algorithm is implemented to carry out optimization of a user-defined fitness function for given user-defined operating conditions. The optimization study is subjected to general constraints of weight balance and energy balance. Optimal solutions have been obtained for two different configurations. These are—conventional airship and winged hybrid airship. The solutions have been obtained for four different days of the year, in order to analyse any potential benefits and pitfalls of the two configurations for the varying conditions over the course of one year. The results obtained are generally found to be in excellent agreement with the imposed constraints. The winged hybrid airship configuration was found to have offered no significant benefits in comparison to the conventional configuration. The analysis of the key parameters and data values readily supports this conclusion.

Characterizing response quantity on academic social Q&A sites: a multidiscipline comparison of linguistic characteristics of questions

PurposeAs academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.Design/methodology/approachThe study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.FindingsThe findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.Originality/valueThis study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.

The Development of a Transdisciplinary Framework to Overcome Energy Efficiency Barriers in Shipbuilding: A Case Study for an Iranian Shipyard

Through a systematic literature review and a holistic perspective, the study proposes a conceptual transdisciplinary framework to overcome energy efficiency barriers during the shipbuilding phase. The process of the proposed transdisciplinary framework consists of five steps of “goal formation”, “system analyzing”, “scenario construction”, “multi-criteria decision making assessment” and “strategy building” to identify and rank the energy efficiency barriers during ship construction based on decision makers’ priorities. The framework categorizes the barriers into five disciplines—operations, policies and regulations, technology and innovation, the human elements, and economics—and the framework is applied to an Iranian shipyard. The results show that the economic barriers have the greatest impact, while the human barriers have the least impact on the shipyard’s energy performance. Due to the generalized structure of the framework, it categorizes not only energy efficiency barriers according to the importance and priorities of stakeholders in the shipbuilding industry, but can also be applied to other phases of the ship life cycle and even to other industries. By applying the framework, decision-makers can make rational and optimal decisions to be able to invest in energy efficiency measures based on their priorities.

Graduate Students’ Identification With Science: Differences by Demographics, Experiences, and Discipline

Research examining high school and undergraduate students has demonstrated the importance of identity formation for students’ confidence, retention, and aspirations in science. While we know some of the key predictors of science identity formation among these populations, relatively little work has looked at these issues among graduate students. The study presented here utilizes data from a survey of over 1,300 graduate students in the United States in five disciplines: biology, chemistry, physics, psychology, and sociology. A structural equation model is estimated to assess the demographic, experiential, and disciplinary correlates of graduate student identification with science and, separately, identification with their discipline. The analysis finds that, relative to men, women have weaker identification with science but do not differ in the strength of their identification with their discipline. Experiences, such as the quality of students’ relationship with their advisor and publishing research, are positively associated with the strength of their science and disciplinary identity. Students in psychology and sociology have weaker identification with science relative to biology students, while sociology students also have weaker identification with their discipline.

Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020

We study international mobility in academia, with a focus on the migration of published researchers to and from Russia. Using an exhaustive set of over 2.4 million Scopus publications, we analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996–2020. The migration of researchers is observed through the changes in their affiliation addresses, which altered their mode countries of affiliation across different years. While only 5.2% of these researchers were internationally mobile, they accounted for a substantial proportion of citations. Our estimates of net migration rates indicate that while Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years. These findings suggest that the current trends in scholarly migration in Russia could be better framed as brain circulation, rather than as brain drain. Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia. Our analysis on the subject categories of publication venues shows that in the past 25 years, Russia has, overall, suffered a net loss in most disciplines, and most notably in the five disciplines of neuroscience, decision sciences, mathematics, biochemistry, and pharmacology. We demonstrate the robustness of our main findings under random exclusion of data and changes in numeric parameters. Our substantive results shed light on new aspects of international mobility in academia, and on the impact of this mobility on a national science system, which have direct implications for policy development. Methodologically, our novel approach to handling big data can be adopted as a framework of analysis for studying scholarly migration in other countries.

Reshaping Authorial Presence in Translations of Research Article Abstracts

In multilingual settings, the abstract is the only part of the research article that is regularly translated. Although very brief, abstracts play an important role in academic communication, as they provide immediate access to research findings. Contrastive research has revealed considerable cross-linguistic differences in the rhetorical patterns of abstracts. The present paper focuses on how this variation is bridged in translation, by addressing an important rhetorical dimension of academic discourse, authorial presence. Specifically, it examines how authorial presence is reshaped in translated abstracts. An analysis of a small corpus of 150 Slovene research article abstracts from five disciplines and their English translations reveals several interesting types of recurring translators’ interventions, most notably the tendency to replace personal authorial references with impersonal structures. Data collected in interviews with four experienced translators of academic texts is used to shed light on potential reasons for interventions with authorial presence in translation.

Learning organizations and animal care programs in the absence of appropriate national legislation

The absence, in many nations, of appropriate and corresponding legislation for the protection of experimental animals as well as continual management education programs, significantly affects the inclusion and recognition of experimental results, worldwide. For more than a decade, researchers from Latin American countries have unsuccessfully struggled to get proper legislation. Until today, not many effective results have been seen. After reviewing previous literature and carefully analyzing the available methodologies and practical examples, this paper aims at redesigning the actions and strategies of the members of the research facilities to implement an effective laboratory animal care and use program, and permit the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC) accreditation, independent of national legislative network .This paper also suggests a domestic working method for the teamwork to assume international harmonized legislation, through the application of the Five Disciplines stated by Senge, as methodological process linked with laboratory animal science as scientific background.

Remote Instruction and Interventions: Considerations for Students With Disabilities

Remote instruction and interventions are designed to reach students outside of the classroom setting. In this Special Series of Intervention in School and Clinic, remote or online instruction across five disciplines are examined. This introduction summarizes the key issues and provides an overview of the topics explored by each of the Special Series contributors.

A Corpus-Driven Study of Terms Used to Refer to Articles and Methods in Research Abstracts in the Fields of Economics, Education, English Literature, Nursing, and Political Science

The present study attempts to identify the most frequent terms that are used in research abstracts relating to research articles designations, research methods, and research goals and quantify them in various disciplines, namely, economics, education, English literature, nursing, and political science to see whether there is a unique pattern characterizing terms peculiar to each of the five disciplines under investigation. It also explains why specific terms are overused/ underused by researchers. The current study follows a corpus-driven approach. For this purpose, we compiled a corpus of 2500 research abstracts from online refereed journals in the fields mentioned above. The corpus linguistic software program, AntConc (3.5.8), was used to analyze the collected data. The analysis revealed that some terms are more frequently used in some areas than others. For example, the term 'study' was the most common word to designate academic research. The most frequent term to refer to population and subject-related terms was 'sample/s,' while the least frequent was 'interviewee/s.' The words used to designate tools or instruments varied, with 'test' being the most frequent and 'checklist/s' the least. This study is of significant benefit for researchers in various disciplines. It acquaints them with terms used to designate articles in their respective fields, in addition to terms used most frequently to refer to sample- related terms and finally to words used for setting goals such as objectives, aims, and goals. This, in turn, can help researchers and graduate students embarking on writing their theses to opt for the most relevant terms peculiar to their disciplines. Unlike most studies that focused on developing academic word lists (AWL), this study set off with terms previously established and used in research bodies and research abstracts to unveil their popularity and the extent to which they are used in various discipline abstracts. Received: 20 January 2021 / Accepted: 30 March 2021 / Published: 10 May 2021

A Mixture Model of Truncated Zeta Distributions with Applications to Scientific Collaboration Networks

The degree distribution has attracted considerable attention from network scientists in the last few decades to have knowledge of the topological structure of networks. It is widely acknowledged that many real networks have power-law degree distributions. However, the deviation from such a behavior often appears when the range of degrees is small. Even worse, the conventional employment of the continuous power-law distribution usually causes an inaccurate inference as the degree should be discrete-valued. To remedy these obstacles, we propose a finite mixture model of truncated zeta distributions for a broad range of degrees that disobeys a power-law behavior in the range of small degrees while maintaining the scale-free behavior. The maximum likelihood algorithm alongside the model selection method is presented to estimate model parameters and the number of mixture components. The validity of the suggested algorithm is evidenced by Monte Carlo simulations. We apply our method to five disciplines of scientific collaboration networks with remarkable interpretations. The proposed model outperforms the other alternatives in terms of the goodness-of-fit.