bluuebunny/crossref_metadata_2025_split huggingface dataset:
“It isn't you”: Teachers’ beliefs about inclusive education and their responses toward specific learning disabilities
Authors: Woodcock Stuart , Nicoll Sandy 
Published: January 2022

AbstractTeachers’ beliefs in inclusive education can be highly significant in the success of inclusive classrooms resulting in the performance outcomes of students. Teachers’ understandings and expectations of students are important if students are to reach their potential. This study investigated 182 Australian secondary teachers’ beliefs about inclusive education in relation to their causal attributions toward students with specific learning disabilities. This study was a quantitative study that used a survey instrument to measure teachers’ attributional responses to students with and without specific learning disabilities. The findings show that teachers who believe in inclusive education report to be more positive/encouraging in their feedback towards students, feel greater sympathy toward them, as well as hold higher expectations toward the future than their counterparts. Teachers need to believe in inclusive education if students are to reach their potential at school.
Mutual interaction among multiple surface barrier discharges
Authors: Gilbart Benjamin , Dickenson Aaron , Walsh James L. , Hasan Mohammad I. 
Published: January 2022

AbstractThis study investigates how the electrode width of a surface barrier discharge (SBD) array affects the deposited power, the induced flow and the spatial distribution of reactive species delivered to a downstream sample. It is shown that decreasing electrode width increases the power density at a fixed operating voltage, causing an intensification of the oscillatory flow by up to 200%, resulting from the overlap of localized flows at every discharge gap. This intensification introduces ripples in the flux of species to a downstream surface when the distance between the SBD array and the treated surface is reduced. A transition between a convection‐driven delivery and diffusion‐driven delivery was identified and quantified for different electrode widths and distances between SBDs and the treated surface. The work shows that the ripples in the delivered flux were associated with convection‐driven delivery.
2‐Aminoselenazoles and 2‐aminothiazoles: One‐pot synthesis and control of the fungus Colletotrichum lindemuthianum in common beans
Authors: Pereira Fernanda AC , de Andrade Vitor SC , Souza Elaine A , de Mattos Marcio CS , Oliveira Denilson F 
Published: January 2022

AbstractBACKGROUNDAnthracnose, caused by the fungus Colletotrichum lindemuthianum, increases losses in the production of common beans. As 1,3‐diazoles can act against fungi by inhibiting the enzyme squalene epoxidase (SE), 2‐aminoselenazoles and 2‐aminothiazoles were synthesized and subjected to tests with the fungus. In addition, the interactions of the most promising substances with the enzyme SE were investigated in silico.RESULTSSeventeen compounds (eight new) were prepared by a one‐pot methodology. In vitro antifungal activities of these compounds against C. lindemuthianum were determined by the minimum inhibitory concentration (MIC) method. Most treatments differed from the control (water), and six azoles with the lowest MIC values underwent an assay employing common bean plants inoculated with the fungus. Among the best results were those from 2‐(3‐fluorophenyl)amino‐4‐phenyl‐1,3‐thiazole (16; 2857 μg mL−1), which reduced the severity of anthracnose in common beans to values statistically comparable to the commercial fungicide thiophanate‐methyl (700 μg mL−1). The in silico affinity of compound 16 for SE was statistically equal to those calculated for several inhibitors of this enzyme.CONCLUSIONSThe results suggested that 2‐(3‐fluorophenyl)amino‐4‐phenyl‐1,3‐thiazole (16) could be considered a potential fungicidal lead compound for further structural optimization, which according to the in silico study acts via SE inhibition. © 2022 Society of Chemical Industry.
An integrated risk assessment method using Z‐fuzzy clouds and generalized TODIM
Authors: Xiao Liming , Huang Guangquan , Zhang Genbao 
Published: January 2022

AbstractAs a systematic risk assessment instrument, failure mode, and effects analysis (FMEA) has been extensively applied for enhancing systems’ quality. However, the classical FMEA technique has limitations in many application scenarios. Although fuzzy logic‐based risk assessment techniques are introduced to enhance conventional FMEA, they still have limitations, for example, needing prior presumptions, neglecting decision‐makers’ bounded rationality, and lacking the capability to reflect the judgmental reliability and randomness of experts’ evaluations simultaneously. To cover these limitations, an extended FMEA method is presented in this paper by using Z‐fuzzy clouds and generalized TODIM (An acronym in Portuguese of interactive and multiple attribute decision‐making). First, a novel concept of Z‐fuzzy clouds is proposed to handle various factors of uncertainties by combining the advantages of the Z‐number theory, the interval‐valued intuitionistic fuzzy sets theory, and the cloud model theory, and the basic operations and Minkowski‐type distance measure of Z‐fuzzy clouds are also defined and discussed. Furthermore, more risk factors are added into the conventional three risk factors and to further build a multiple dimension risk factor system for better evaluating failures. Additionally, the experts’ bounded rationality and the risk factors’ interrelationships are considered by two developed weighting models. Finally, a real study case, sensitivity analysis, and several comparisons are performed to validate the effectiveness of the proposed model. Results demonstrate that the proposed model is more rational compared with the previous several methods.
A novel dynamic nonlinear partial least squares based on the cascade structure
Authors: Ma Hao , Wang Yan , Ji Zhicheng 
Published: January 2022

AbstractFor the collinearity problem of input variables in actual industrial process modeling, a novel dynamic nonlinear partial least squares (PLS) approach is presented to solve this problem. In the proposed method, a novel cascade structure which is composed of an autoregressive exogenous model and a radial basis function neural network is introduced as the inner model of the conventional PLS method, so that the newly established PLS method has both dynamic and nonlinear characteristics. In this improvement, an external model for extracting the latent variables of input and output is established through the original PLS model, which eliminates the collinearity between original dependent variables, and then the aforementioned cascade framework is employed to describe the dynamic and nonlinear relationships between the input and output score variables. Furthermore, in order to estimate the unknown parameters of the established dynamic nonlinear inner model, a stochastic gradient algorithm and a forgetting factor stochastic gradient algorithm are presented. Additionally, a simple cross validation method is used to determine the orders of the inner model. Finally, a numerical simulation example and an application example are given to demonstrate the effectiveness of the proposed approach.
The Synthesis and Theoretical Investigation of Functionalized N,N′‐Arylthioalkylisoindigo Derivatives
Authors: Khalili Gholamhossein , Rezaei Farideh , Keller Paul A. 
Published: January 2022

AbstractA variety of functionalized N,N′‐thioalkylisoindigo derivatives, ((E)‐2,2′‐dioxo‐[3,3′‐biindolinylidene]‐1,1′‐diyl)bis(butane‐4,1‐diyl)‐bis(N‐phenyl‐3,4‐dihydroquinoline‐1(2H)‐carbimidothioate), and (E)‐1,1′‐bis(3‐(4‐bromophenoxy)propyl)‐[3,3′‐biindolinylidene]‐2,2′‐dione were synthesized from N,N′‐bromoalkylisoindigos for the first time using mild conditions. To make an accurate estimation of the optical and electrochemical properties of the novel functionalized isoindigo derivatives synthesized, precise computational methods were used including periodic and non‐periodic density functional theory (DFT) and time‐dependent DFT.
Understanding viruses and viral infections by biophotonic methods
Authors: Ramoji Anuradha , Pahlow Susanne , Pistiki Aikaterini , Rueger Jan , Shaik Tanveer Ahmed , Shen Haodong , Wichmann Christina , Krafft Christoph , Popp Juergen 
Published: January 2022

AbstractIn the last few decades outbreaks of viral infections have often challenged the world‐wide health infrastructure and caused a significant financial burden as well as human suffering despite progress in diagnostic technologies. The recent outbreaks of the Ebola virus in the African continent, the Zika virus in the American continent, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza A and lately severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) viral infections have repeatedly highlighted the importance of technological advancement enabling a better understanding of virions. In this review, we systematically discuss different aspects of virions and how their properties and functions can be studied using different light‐based technologies. We focus on virion classification, detection and interactions with the host's immune system. Further, the potential of advanced biophotonic methods, for example, Raman, infrared reflection, absorption and fluorescence spectroscopy, advanced microscopic techniques and biosensor‐based approaches for diagnosing viral infections, investigating therapeutics and vaccine development are described. Although significant advancements have already been made in photonic technologies, which even enable visualizing virion‐host interactions on single‐cell level, the continuous evolution of viruses demands further progress in biophotonic solutions for fast, affordable and robust health monitoring devices for screening viral infections.
Ninjinyoeito exerts an antidepressant‐like effect by enhancing the central noradrenergic system
Authors: Tsutsumi Soichiro , Watanabe Takuya , Hatae Akinobu , Hirata Marika , Omori Hiroya , Taniguchi Chise , Nagao Masaki , Kubota Kaori , Katsurabayashi Shutaro , Iwasaki Katsunori 
Published: January 2022

ABSTRACTAimNinjinyoeito (NYT) is a Kampo medicine prescribed for patients with decreased mental and physical energy. Clinical studies demonstrate that NYT ameliorates depressive symptoms in patients with various diseases. However, the underlying therapeutic mechanisms of action remain unclear. The monoaminergic system has been implicated in the neuropathology of depression. Using immobility in the tail suspension test to evaluate depression‐like behavior, we aimed to examine the effects of NYT and the involvement of the α1‐adrenoceptor and serotonin (5‐HT)1A receptor in its mechanism of action.MethodsImmobility in the tail suspension test was used as an index of depression‐like behavior. NYT (1,000 or 2,000 mg/kg/day, once a day for seven days) was orally administered to mice. Prazosin and WAY‐100635 were administered 30 min and 1 h before the test, respectively. Norepinephrine (NE) and 5‐HT levels in the frontal cortex and amygdala were analyzed using a high‐performance liquid chromatography (HPLC) electrochemical detector.ResultsNYT (2000 mg/kg/day) shortened the immobility time. Prazosin and WAY‐100635 blocked the NYT‐mediated reduction in immobility time. NYT increased NE levels, but not 5‐HT levels, in the amygdala.ConclusionNYT reduced immobility time in the tail suspension test, likely by increasing NE levels. The increased NE levels may activate the α1‐adrenoceptor, thereby ameliorating the depression‐like behavior. NYT may therefore improve depressive symptoms in patients by enhancing the noradrenergic system.
Introduction: Black Swans and Sinatra Inferences
Authors: Seibel Wolfgang 
Published: January 2022

AbstractPublic mismanagement as a threat to life and limb is a rare and highly improbable phenomenon—the proverbial Black Swan. Bridges and buildings collapse, claiming the lives of people who had every reason to believe that governmental agencies protect their physical integrity through public oversight and maintenance. Properly analyzed, however, these unlikely events reveal causal mechanisms of a general nature, strong enough to trigger fateful mismanagement even under the restrictive conditions of professional bureaucracies and democratic government. Hence the “Sinatra Inference”: When a mechanism is powerful enough ‘to make it there’—i.e., where causal leverage is supposedly low—it is likely to ‘make it everywhere’ as soon as leverage is enlarged by weaker accountability structures, lower professional standards and lesser values than human safety.
‘A Just Government’—Empire, Religion, Chaplains and the Corporation
Authors: Smith Haig Z. 
Published: January 2022

AbstractThe introduction details how religion and religious life were interwoven with the development of ideas of civic, commercial and religious government. Moving beyond the traditional narrative that sees these texts as purely evangelical justifications, it introduces the reader to the key themes and arguments of the book; that religion framed the expansion, behaviour and interaction of government abroad, and that this is one of the primary reasons for the different forms of government adopted by English people across the globe. At the same time, it also provides a mechanism to connect these varying governments.
The Massachusetts Bay Company and New England Company (1640–1684): Exportation, Revaluation and the Demise of Corporate Theocratic Governance
Authors: Smith Haig Z. 
Published: January 2022

AbstractReturning to Massachusetts, this chapter focuses on communal responsibility and identity in decline of the MBC’s theocratic governance between 1640 and 1684. Firstly, this chapter investigates the transportation of political knowledge and ideas through corporate membership, assessing the role of individual MBC members such as Hugh Peters, Stephen Winthrop and Henry Vane Jr., in the formation of religious governance in England in the years surrounding the Wars of the Three Kingdoms. The chapter also assesses the evolution of corporate evangelism in England and America, with the formation of the New England Company (NEC). It analyses several evangelical works including Roger Williams’s A Yet More Bloody and John Cotton’s The Bloudy Tenent, in order to understand the conflicted development of evangelism within the company, and how it became used to justify territorial expansion and further encroach on English and Native American religious and governmental identity and rights. The chapter concludes by offering an analysis of the downfall of the MBC, emphasising how models of governance strengthened and established out of corporate flexibility could, at the same time, be made brittle and weakened.
Conclusion
Authors: Smith Haig Z. 
Published: January 2022

AbstractDraw together the book’s key themes, the conclusion highlights how, by the end of the seventeenth century, England’s overseas companies had adapted various models of religious governance to stamp their authority over peoples and faiths across the globe, thereby securing their governmental autonomy. However, as a new century approached, domestic religious and political authorities in England took steps to centralise the role of religion, evangelism and the overseas governance. Consequently, this changed the character of English imperial expansion and the relationship between English corporate governance and religion forever.
Navigation by Revealing Trade-offs for Content-Based Recommendations
Authors: Dietz Linus W. , Palage Sameera Thimbiri , Wörndl Wolfgang 
Published: January 2022

AbstractConversational recommender systems have been introduced to provide users the opportunity to give feedback on items in a turn-based dialog until a final recommendation is accepted. Tourism is a complex domain for recommender systems because of high cost of recommending a wrong item and often relatively few ratings to learn user preferences. In a scenario such as recommending a city to visit, conversational content-based recommendation may be advantageous, since users often struggle to specify their preferences without concrete examples. However, critiquing item features comes with challenges. Users might request item characteristics during recommendation that do not exist in reality, for example demanding very high item quality for a very low price. To tackle this problem, we present a novel conversational user interface which focuses on revealing the trade-offs of choosing one item over another. The recommendations are driven by a utility function that assesses the user’s preference toward item features while learning the importance of the features to the user. This enables the system to guide the recommendation through the search space faster and accurately over prolonged interaction. We evaluated the system in an online study with 600 participants and find that our proposed paradigm leads to improved perceived accuracy and fewer conversational cycles compared to unit critiquing.
Personalization of Multi-day Round Trip Itineraries According to Travelers’ Preferences
Authors: Erbil Elif , Wörndl Wolfgang 
Published: January 2022

AbstractTravel planning is a long and tedious process for tourists since it requires processing a vast amount of information. Recommender systems can be used to facilitate the process of scoring points-of-interests (POIs) according to the travelers’ interests and creating feasible itineraries. However, itinerary planning is personal and each itinerary created must reflect the interest of the traveler as well as his/her travel style. In this paper, we extend the creation of multi-day round trip itineraries by adding different personalization options such as the pace of the traveler and diversity level of the route. The information about the travel style of the user is used to personalize the visiting duration of each POI and to create routes for each day that follow the constraints defined by users. We conducted a user study through a mobile application and the results show that the added personalization options improved the recommended multi-day round trip walking tours from a user’s perspective.
Identifying the Main Service Elements for Customer-Oriented Live Guided Virtual Tours
Authors: Repo Rosa , Pesonen Juho 
Published: January 2022

AbstractVirtual tourism allows people to see and experience the world without physically travelling to the destination. The objective of this study is to identify service elements critical to the development of customer-oriented live guided virtual tours. A total of three focus group discussions were conducted, with 4–5 participants in each group. All the participants were Japanese who had previously participated in live guided virtual tours. The data was analysed with qualitative content analysis, where an inductive approach was used. The findings reveal that the main expectations of the participants are related to experiencing the local culture and way of life, feeling of actually being in the destination (sense of connection), social interaction and active participation. These factors make the virtual tour feel realistic and attractive and the tourism businesses need especially to focus on these when designing virtual tours for example by providing ample opportunities for the virtual tour participants to discuss with each other and learn from each other. This study brings valuable insights into the virtual tours research from the customer perspective, especially in a non-Western context.
A Framework of Resilience for Peer-to-Peer Accommodation Hosts Under COVID-19
Authors: Xu Yu-Hua , Ma Shihan , Li Xin-Yue 
Published: January 2022

AbstractThe pandemic has hit the tourism industry in various ways. P2P accommodation (P2PA) is one of most disrupted sectors. Different types of P2PA hosts are confronting different levels of challenges. From an angle of social equity, the study adopted a resilience model to examine the resilience of P2PA hosts’ business during the first COVID outbreak in Florida, USA. Statistical results show P2PA hosts’ business resilience negatively associates with their housing liability and hosting experience. Social superiority in owning more assets can be a defect in coping with COVID crisis. P2PA operators need to maintain an appropriate level of financial flexibility when faced with the threat of COVID outbreaks. We suggest the government and industrial organizations to distinguish the types of P2PA operators when carrying out rescue plans for the industry.
Platform Stress in Hospitality – Focusing on the Technology dimension
Authors: Park Jae Eun , Chung Namho , Koo Chulmo 
Published: January 2022

AbstractFor the emergence of platform business, it is important to manage the stress that hosts receive from the business. Considering the characteristics of the platform business, stressors arise from social and technology dimension. In the global platform business (e.g., Airbnb), social dimension stressors mostly arise from the relationships among stakeholders, and technology dimension stressors arise from the system they utilize. This research aims to define this combination of social and technology stress as “Platform Stress.” Especially focusing on the technology dimension, this research empirically verified the relations of techno-stressors, burnout, and switching intention. Further, mediating effects of burnout in between the relationships demonstrates the importance of investigating the hosts’ stress. Exploring the platform stress from the technology-usage perspective, this research provides theoretical and managerial implications.
Data-Supported CRM as a Lever for DMO Success: A Social Exchange Relationship Approach
Authors: Bosio Birgit , Scheiber Melanie 
Published: January 2022

AbstractCustomer relationship management (CRM) is proving to be one of the most promising business strategies. However, in the field of destination marketing literature, a problem exists as to how data-supported CRM can be established. While customer data management has already been well exploited in other industries, DMOs lack customer proximity and data sovereignty. The aim of this paper is to fill this research gap and show how a data-based CRM can be deployed by DMOs based on the principles of social exchange theory. In 13 expert interviews, these aspects were examined from the DMO’s point of view. The results show that the exchange relationship must be established taking into account the DMO’s extraordinary conditions and critical success factors. In order to stimulate guests’ desire for dialogue or the willingness to disclose personal data, DMOs should offer high-quality customer benefits. A combination of hedonic and utilitarian benefits are found to be the most effective stimuli. In return, only the most necessary customer information should be requested and subsequently built passively. Only if the cost and benefit ratio of the exchange relationship is positive for both parties, a database for the CRM can be built in order to foster long-lasting relationships with potential and returning guests.
eLearning for Tourism During COVID-19 - Learning from Students’ Perspectives. A Pilot Study
Authors: Hasenzahl Lea , Ghezili Soha , Cantoni Lorenzo 
Published: January 2022

AbstractThis paper shows a first analysis of the experiences and challenges of studying tourism during the times of the COVID-19 pandemic. 14 tourism students from two higher education institutions in Europe participated in three focus group discussions. One generation of these students started their education in presence and had to shift online with the start of the pandemic, while the other generation started their education knowing that lessons would be mainly online. Authors used qualitative content analysis to analyze the participants’ statements. As a result of the analysis, several themes emerged, and students contextualized eLearning as an education method for a future without COVID-19.