bluuebunny/crossref_metadata_2025_split huggingface dataset:
Signal Peptide of HIV-1 Envelope Modulates Glycosylation Impacting Exposure of V1V2 Epitopes
Authors: Upadhyay Chitra , Feyznezhad Roya , Cao Liwei , Chan Kun-Wei , Liu Kevin , Yang Weiming , Zhang Hui , Yolitz Jason , Arthos James , Nadas Arthur , Kong Xiang-Peng , Zolla-Pazner Susan , Hioe Catarina E. 
Published: July 2020

AbstractHIV-1 envelope (Env) is a trimer of gp120-gp41 heterodimers, synthesized from a precursor gp160 that contains an ER-targeting signal peptide (SP) at its amino-terminus. Each trimer is swathed by ∼90 N-linked glycans, comprising complex-type and oligomannose-type glycans, which play an important role in determining virus sensitivity to neutralizing antibodies. We previously examined the effects of single point SP mutations on Env properties and functions. Here, we aimed to understand the impact of the SP diversity on glycosylation of virus-derived Env and virus neutralization by swapping SPs. Analyses of site-specific glycans revealed that SP swapping altered Env glycan content and occupancy on multiple N-linked glycosites, including the conserved N156 and N160 glycans in the V1V2 region at the Env trimer apex. Virus neutralization was also affected, especially by antibodies against the V2i, V2p and V2q epitopes. Likewise, SP swaps affected the recognition of soluble and cell-associated Env by antibodies targeting distinct V1V2 configurations. These data highlight the contribution of SP sequence diversity in shaping the Env glycan content and its impact on the configuration and accessibility of V1V2 epitopes on Env.Author SummaryHIV-1 Env glycoprotein is produced by a precursor gp160 that has a signal peptide at its N-terminus. The SP is highly diverse among the HIV-1 isolates and no two SP are same. This study presents site-specific analyses of N-linked glycosylation on HIV-1 envelope glycoproteins from infectious viruses produced with different envelope signal peptides. We show that signal peptide swapping alters the envelope glycan shield, including the conserved N156 and N160 located in the V1V2 region on the trimer apex, to impact Env recognition and virus neutralization by antibodies, particularly those targeting the the V1V2 region. The data offer crucial insights into the role of signal peptide in the interplay between HIV-1 and antibodies and its potential utility to control Env glycosylation in the development of Env-based HIV-1 vaccine.
Documenting contemporary regional history: the Utah COVID-19 digital collection
Authors: Neatrour Anna L. , Myntti Jeremy , Wittmann Rachel J. 
Published: July 2020

Purpose
When faced with events, such as the global pandemic of coronavirus disease 2019 (COVID-19), libraries have a unique opportunity to develop a community facing response through born-digital collections. These collections provide challenges for metadata creation, collection development policies, workflows, and digital preservation. This paper aims to provide an overview of the Utah COVID-19 digital collection, with a discussion of impact and lessons learned.

Design/methodology/approach
This paper provides a case study of a born-digital collection initiative undertaken at the University of Utah in response to the COVID-19 pandemic. The project prompted engagement with the University of Utah communities and people across the state. Workflows, metadata management and partnerships are discussed, to provide a model for institutions developing similar projects during a time of crisis.

Findings
While the project was launched with open-ended and flexible goals, the response from the community has been both surprising and gratifying. Statistics and examples demonstrating reuse of collection materials are provided to highlight the impact and potential of community engagement.

Originality/value
Digital collecting projects during a historical event are not new, however the restrictions placed upon people worldwide during the COVID-19 pandemic created interesting circumstances for building this collection. Several lessons were learned throughout the project which will be useful for other institutions embarking upon related projects.
The use of building information modelling by quantity surveyors in facilities management roles
Authors: Stride Melanie , Hon Carol K.H. , Liu Rui , Xia Bo 
Published: July 2020

PurposeAdoption of building information modelling (BIM) in facilities management (FM) provides an information platform to store and exchange asset data. Quantity Surveyors, with cost management expertise, are increasingly involved in FM roles in the operation phase. However, no study has been conducted on how BIM may assist Quantity Surveyors when contracted in FM roles. This study aims to identify the potential benefits and challenges of using BIM by Quantity Surveyors in FM roles.Design/methodology/approachInterviews were conducted with eight professionals from an international built and natural asset design and management company and its FM business partner in Australia.FindingsLack of complete and accurate data was the main issue faced by Quantity Surveyors in FM. The benefits of BIM in FM were digitizing and storing asset information and developing a cost database that would be useful for Quantity Surveyors, whereas challenges included keeping model data up to date, cost, industry resistance to change and contractors' lack of model use.Originality/valueThis study contributes to revealing the niche adoption of BIM by Quantity Surveyors in FM and identifying the issues faced by Quantity Surveyors in FM roles using BIM. It contributes to the knowledge of BIM adoption in post-construction. Findings will be useful to develop strategies for adopting BIM in FM and supporting Quantity Surveyors' roles in FM.
Anti-blackness, surface-level diversity continues to matter: what must we do?
Authors: Bell Myrtle P. 
Published: July 2020

PurposeThis paper discusses the author's perceptions of anti-blackness, her research on “surface-level” diversity and her recommendations for faculty, administrators and allies.Design/methodology/approachThe paper is a personal account, drawn from the author's background and experiences teaching and studying diversity. It discusses research on American Blacks' unique experiences with police violence and discrimination in employment, housing, customer service, healthcare and education consistent with anti-blackness.FindingsAnti-blackness pervades Blacks' everyday experiences, including in academic institutions.Research limitations/implicationsThis paper is a viewpoint paper. Researchers should study anti-blackness, looking specifically at Blacks' organizational and societal experiences.Practical implicationsThe author provides suggestions for faculty regarding sharing their research findings, teaching about anti-blackness in diversity, human resources, organizational behavior, management and other courses along with mentoring doctoral students. Recommendations for administration to help ensure that Black faculty are hired, valued and supported are also provided.Social implicationsEfforts to identify, acknowledge and dismantle anti-blackness are critical to Blacks and are important to improving diversity, inclusion and equity in society.Originality/valueThis paper provides the author's perspective on anti-blackness, using her personal perceptions and experiences, coupled with research evidence. The author provides suggestions for faculty and administrators based on decades of research and experience in the field and being Black in an anti-black society.
Research on the logistics development level and spatial differentiation in node city with gray target decision model
Authors: Qian Wuyong , Wang Lizhen , Wang Jue , Chen Qianqian 
Published: July 2020

PurposeThe purpose of this study is to master the development process and the construction effectiveness of backbone circulation network in an all-round way, formulate regional logistics development planning as well as promote the development of logistics industry by scientifically evaluating the logistics development of node cities with a view to analyzing their spatial differentiation features.Design/methodology/approachIn this paper, an integrated evaluation model is constructed by adopting factor analysis, gray target decision-making model based on cone volume and other methods so as to evaluate the logistics development of node cities. The dimensionality of three-dimensional panel data is reduced by factor analysis at first. Then, the gray target decision-making method based on cone volume is adopted to evaluate the development of node cities, whose evaluation results are carried out through the clustering analysis. The clustering analysis is used to determine the development level of node cities and to extract the spatial differentiation features of node cities.FindingsThe results show that the proposed model can comprehensively evaluate the logistics level of node cities and clarify the overall logistics development and spatial differentiation of node cities, which could provide objective evidence for formulating national policies as well as promoting the balanced and coordinated development of regional logistics in China.Originality/valueThe paper succeeds in overcoming the disadvantages of existing methods assessing the logistics development level, such as principal component analysis and factor analysis, which are not applicable to panel data.
A novel approach for the analytical solution of nonlinear time-fractional differential equations
Authors: Zhang Haiyan , Nadeem Muhammad , Rauf Asim , Guo Hui Zhao 
Published: July 2020

Purpose
The purpose of this paper is to suggest the solution of time-fractional Fornberg–Whitham and time-fractional Fokker–Planck equations by using a novel approach.

Design/methodology/approach
First, some basic properties of fractional derivatives are defined to construct a novel approach. Second, modified Laplace homotopy perturbation method (HPM) is constructed which yields to a direct approach. Third, two numerical examples are presented to show the accuracy of this derived method and graphically results showed that this method is very effective. Finally, convergence of HPM is proved strictly with detail.

Findings
It is not necessary to consider any type of assumptions and hypothesis for the development of this approach. Thus, the suggested method becomes very simple and a better approach for the solution of time-fractional differential equations.

Originality/value
Although many analytical methods for the solution of fractional partial differential equations are presented in the literature. This novel approach demonstrates that the proposed approach can be applied directly without any kind of assumptions.
School leadership capacity-building: developing country successful case studies
Authors: Owen Susanne Mary , Toaiauea Toabwa , Timee Tekonnang , Harding Tebetaio , Taoaba Taaruru 
Published: July 2020

PurposeSystems educational reform in developing countries through effective principal capacity- building programs is essential for improving student learning, with the purpose of this paper being to use case studies to identify key success factors in the implementation of an instructional leadership program in the developing country of Kiribati.Design/methodology/approachA case study approach involving mixed methods including semi-structured interviews and document analysis was used within three purposively sampled schools to examine implementation success factors relevant to instructional leadership literatureFindingsThe case studies reveal the overall value of the Kiribati instructional leadership program involving school leader workshops and ongoing coaching support, with instructional leadership reflecting directive and collaborative, as well as transformative theoretical aspects. Key implementation success factors within researched schools were leaders undertaking regular observations in classrooms, systematic tracking of student achievement and nurturing a positive culture for learning, as well as establishment of various collaborative processes involving community and teacher peer learning groups.Research limitations/implicationsThe study provides in-depth information through teacher and school leader interviews and examining relevant school documentation artefacts. A limitation is that the study involved only three schools and was undertaken less than a year into program implementation. Future research involving more schools and several years after implementation would be beneficial to investigate sustainability across the school system and longer-term program impacts.Practical implicationsThe data provides practical tips for school leaders regarding effective teacher capacity-building approaches, as well as providing information for policy makers, especially in developing countries, about effective professional development programs for school leaders and teachers. 10; 10;Originality/valueThe study examines a system-wide workshop series and coaching approach to school leader and teacher capacity-building in a developing country from a theoretical and practical perspective relevant to instructional leadership and also transformational leadership, which is an under-researched area. 10; 10; 10;
Developing a 3D decision-making grid based on failure modes and effects analysis with a case study in the steel industry
Authors: Shahin Arash , Labib Ashraf , Haj Shirmohammadi Ali , Balouei Jamkhaneh Hadi 
Published: July 2020

PurposeThe aim of this study is to develop a 3D model of decision- making grid (DMG) considering failure detection rate.Design/methodology/approachIn a comparison between DMG and failure modes and effects analysis (FMEA), severity has been assumed as time to repair and occurrence as the frequency of failure. Detection rate has been added as the third dimension of DMG. Nine months data of 21 equipment of casting unit of Mobarakeh Steel Company (MSC) has been analyzed. Then, appropriate condition monitoring (CM) techniques and maintenance tactics have been suggested. While in 2D DMG, CM is used when downtime is high and frequency is low; its application has been developed for other maintenance tactics in a 3D DMG.FindingsFindings indicate that the results obtained from the developed DMG are different from conventional grid results, and it is more capable in suggesting maintenance tactics according to the operating conditions of equipment.Research limitations/implicationsIn failure detection, the influence of CM techniques is different. In this paper, CM techniques have been suggested based on their maximum influence on failure detection.Originality/valueIn conventional DMG, failure detection rate is not included. The developed 3D DMG provides this advantage by considering a new axis of detection rate in addition to mean time to repair (MTTR) and failure frequency, and it enhances maintenance decision-making by simultaneous selection of suitable maintenance tactics and condition-monitoring techniques.
A new joint friction model for parameter identification and sensor-less hand guiding in industrial robots
Authors: Liu Guanghui , Li Qiang , Fang Lijin , Han Bing , Zhang Hualiang 
Published: July 2020

Purpose
The purpose of this paper is to propose a new joint friction model, which can accurately model the real friction, especially in cases with sudden changes in the motion direction. The identification and sensor-less control algorithm are investigated to verify the validity of this model.

Design/methodology/approach
The proposed friction model is nonlinear and it considers the angular displacement and angular velocity of the joint as a secondary compensation for identification. In the present study, the authors design a pipeline – including a manually designed excitation trajectory, a weighted least squares algorithm for identifying the dynamic parameters and a hand guiding controller for the arm’s direct teaching.

Findings
Compared with the conventional joint friction model, the proposed method can effectively predict friction factors during the dynamic motion of the arm. Then friction parameters are quantitatively obtained and compared with the proposed friction model and the conventional friction model indirectly. It is found that the average root mean square error of predicted six joints in the proposed method decreases by more than 54%. The arm’s force control with the full torque using the estimated dynamic parameters is qualitatively studied. It is concluded that a light-weight industrial robot can be dragged smoothly by the hand guiding.

Practical implications
In the present study, a systematic pipeline is proposed for identifying and controlling an industrial arm. The whole procedure has been verified in a commercial six DOF industrial arm. Based on the conducted experiment, it is found that the proposed approach is more accurate in comparison with conventional methods. A hand-guiding demo also illustrates that the proposed approach can provide the industrial arm with the full torque compensation. This essential functionality is widely required in many industrial arms such as kinaesthetic teaching.

Originality/value
First, a new friction model is proposed. Based on this model, identifying the dynamic parameter is carried out to obtain a set of model parameters of an industrial arm. Finally, a smooth hand guiding control is demonstrated based on the proposed dynamic model.
Intention to start a business and entrepreneurship education programme: a pre- and post-programme research design
Authors: Çera Gentjan , Çera Edmond 
Published: July 2020

Purpose
The effect of a study programme in entrepreneurship on intention to start a business has not received adequate attention by researchers using a pre- and post-programme research design. The purpose of this paper is to find evidence of entrepreneurship education programme on entrepreneurial intention in the context of a post-communist transition county.

Design/methodology/approach
Coarsened exact matching method is performed to achieve two similar groups: control (people who did not attend a study programme in entrepreneurship) and treated (those who attended) groups. Based on a set of covariates as identified in theory, 442 out of 528 members were matched. Hypotheses developed in a pre- and post-programme setting can be tested by using the ANCOVA. Members’ scores on intention to start a business before the programme was introduced were used as the covariate in this analysis (pre-programme).

Findings
The analysis confirms a significant difference between the two groups on entrepreneurial intention after the study programme in entrepreneurship was completed (post-programme). The results suggest that entrepreneurial intention is affected by entrepreneurship education programme.

Research limitations/implications
This study offers useful insights for universities and individuals running a business. Aiming better results in terms of entrepreneurship, university, industry and government should align their efforts following a triple helix model.

Originality/value
This work adds value to the entrepreneurship literature in the context of post-communist transition country. Furthermore, it uses a rigour methodology that makes the comparison of control and treated groups possible.
The asymmetric Brazilian input–output network
Authors: Gonçalves Jennifer , Matsushita Raul , Da Silva Sergio 
Published: July 2020

PurposeThe authors observed few sectors with many connections and many sectors with few connections, “in the Brazilian input-output network,” which meant that sectoral idiosyncratic shocks may lead to aggregate fluctuations.Design/methodology/approachThe authors considered the Brazilian input–output tables for the years 2010 and 2015 and found a significant asymmetry in the roles that sectors play as input suppliers to others.FindingsGeneralized Pareto exponents decreased from one period to the other, which suggested that the input–output network has become more vulnerable to shocks.Practical implicationsThe authors identified real estate as the most important sector and, given its high connectivity, shocks to it could become a major driver of the Brazilian business cycle.Originality/valueThis is the first paper examining the asymmetric structure of the Brazilian input–output table, and results are compared with those for the US table.
Capital flows and office markets in major global cities
Authors: Fadeyi Olawumi , McGreal Stanley , McCord Michael , Berry Jim 
Published: July 2020

PurposeOffice markets and particularly international financial centres over the past decade have experienced rapid financialisation, developments and indeed changes in the post-global financial crisis (GFC) landscape. Importantly, the volume and types of international capital flows have witnessed more foreign actors and vehicles entering into the investment landscape with the concentration of investment intensifying within key financial centres. This paper examines the interaction of international real estate capital flows in the London, New York and Tokyo office markets between 2007 and 2017.Design/methodology/approachUsing Real Capital Analytics (RCA) data comprising over 5,700 office property transactions equating to $563bn between 2007 and 2017, the direct global capital flows into the London, New York and Tokyo office markets are assessed using an autoregressive distributed lag (ARDL) approach. Further, Granger causality tests are examined to analyse the short-run interaction of international real estate capital flows into these three major office markets.FindingsBy assessing the relativity of internal to external investments in these three central business district (CBD) office markets, differences in market dynamics are highlighted. The London office market is shown to be highly dependent on international flows and the USA, the foremost source of cross-border investment on the global stage. The cointegration and causality analysis indicate that cross-border real estate investment flows in these markets (and financial centres) show both long- and short-run relationships and suggest that the London office market remains more distinct and the most reliant on international capital flows with a wider geographical spread of investment activities and investor types. In the case of New York and Tokyo, these markets appear to be driven by more domestic investment activity and capital seemingly due to subtle factors pertaining to investor home bias, risk aversion and diversification strategies between the markets in the aftermath of the GFC.Originality/valueGiven the importance of the CBD offices in London, New York and Tokyo as an asset class for institutional investors, this paper provides some insights as to their level of connection and the interaction of the international capital flows into these three major cities.