bluuebunny/crossref_metadata_2025_split huggingface dataset:
Injury-Free In Vivo Delivery and Engraftment into the Cornea Endothelium Using Extracellular Matrix Shrink-Wrapped Cells
Authors: Palchesko Rachelle N. , Du Yiqin , Geary Moira L. , Carrasquilla Santiago , Shiwarski Daniel J. , Khandaker Irona , Funderburgh James L. , Feinberg Adam W. 
Published: March 2021

AbstractCell injection is a common clinical approach for therapeutic delivery of cells into diseased and damaged tissues in order to achieve regeneration. However, cell retention, viability, and engraftment at the injection site has generally been poor, driving the need for improved approaches. Here, we developed a technique to shrink-wrap micropatterned islands of corneal endothelial cells in a basement membrane-like layer of extracellular matrix (ECM) that enables the cells to maintain their cell-cell junctions and cytoskeletal structure while in suspension. These μMonolayers exhibited the ability to rapidly engraft into intact, high-density corneal endothelial monolayers in both in vitro and in vivo model systems. Importantly, the engrafted μMonolayers increased local cell density, something that the clinical-standard single cells in suspension failed to do. These results show that shrink-wrapping cells in ECM dramatically improves engraftment and provides a potential alternative to cornea transplant when low endothelial cell density is the cause of corneal blindness.One Sentence SummaryShrink-wrapped patches of endothelial cells can rapidly attach and integrate into an intact cornea endothelium when injected into the anterior chamber, increasing cell density.
Vaccine genetics of IGHV1-2 VRC01-class broadly neutralizing antibody precursor naïve human B cells
Authors: Lee Jeong Hyun , Toy Laura , Kos Justin T. , Safonova Yana , Schief William R. , Watson Corey T. , Havenar-Daughton Colin , Crotty Shane 
Published: March 2021

ABSTRACTA successful HIV vaccine must overcome the hurdle of being able to activate naïve precursor B cells encoding features within their germline B cell receptors (BCR) that allow recognition of broadly neutralizing epitopes. Knowledge of whether broadly neutralizing antibody (bnAb) precursor B cells are circulating at sufficient frequencies within individuals in communities heavily impacted by HIV may be important. Using a germline-targeting eOD-GT8 immunogen and high-throughput droplet-based single cell BCR sequencing, we demonstrate that large numbers of paired BCR sequences from multiple donors can be efficiently screened to elucidate precursor frequencies of rare, naïve VRC01-class B cells. The results indicate that IGHV1-2 alleles incompatible with VRC01-class responses are relatively common in various human populations, and germline variation within IGHV1-2 associates with gene usage frequencies in the naïve BCR repertoire.
Using Graph Convolutional Neural Networks to Learn a Representation for Glycans
Authors: Burkholz Rebekka , Quackenbush John , Bojar Daniel 
Published: March 2021

SummaryAs the only nonlinear and most diverse biological sequence, glycans offer substantial challenges for computational biology. These complex carbohydrates participate in nearly all biological processes – from protein folding to the cellular entry of viruses – yet are still not well understood. There are few computational methods to link glycan sequences to functions and those that do exist do not take full advantage of all the available information of glycans. SweetNet is a graph convolutional neural network model that uses graph representation learning to facilitate a computational understanding of glycobiology. SweetNet explicitly incorporates the nonlinear nature of glycans and establishes a framework to map any glycan sequence to a representation. We show that SweetNet outperforms other computational methods in predicting glycan properties on all reported tasks. More importantly, we show that glycan representations, learned by SweetNet, are predictive of organismal phenotypic and environmental properties. Finally, we present a new application for glycan-focused machine learning, the prediction of viral glycan-binding, that can be used to discover new viral receptors and monitor rapidly mutating viruses.
In vitroevaluation of the activity of terpenes and cannabidiol against Human Coronavirus E229
Authors: Chatow Lior , Nudel Adi , Nesher Iris , Hemo David Hayo , Rozenberg Perri , Voropaev Hanna , Winkler Ilan , Levy Ronnie , Kerem Zohar , Yaniv Zohara , Eyal Nadav 
Published: March 2021

AbstractThe activity of a new, terpene-based formulation, code-named NT-VRL-1, against Human Coronavirus (HCoV) strain 229E was evaluated in human lung fibroblasts (MRC-5 cells), with and without the addition of cannabidiol (CBD). The tested formulation exhibited an antiviral effect when it was pre-incubated with the host cells prior to virus infection. The combination of NT-VRL-1 with CBD potentiated the antiviral effect better than the positive controls pyrazofurin and glycyrrhizin. There was a strong correlation between the quantitative results from a cell-viability assay and the cytopathic effect seen under the microscope after 72 h. To the best of our knowledge, this is the first report of activity of a combination of terpenes and CBD against a coronavirus.
Fragment-based computational design of antibodies targeting structured epitopes
Authors: Rangel Mauricio Aguilar , Bedwell Alice , Costanzi Elisa , Taylor Ross , Russo Rosaria , Bernardes Gonçalo J. L. , Ricagno Stefano , Frydman Judith , Vendruscolo Michele , Sormanni Pietro 
Published: March 2021

ABSTRACTDe novo design methods hold the promise of reducing the time and cost of antibody discovery, while enabling the facile and precise targeting of predetermined epitopes. Here we describe a fragment-based method for the combinatorial design of antibody binding loops and their grafting onto antibody scaffolds. We designed and tested six single-domain antibodies targeting different epitopes on three antigens, including the receptor-binding domain of the SARS-CoV-2 spike protein. Biophysical characterisation showed that all designs are highly stable, and bind their intended targets with affinities in the nanomolar range without anyin vitroaffinity maturation. We further discuss how a high-resolution input antigen structure is not required, as our method yields similar predictions when the input is a crystal structure or a computer-generated model. This computational procedure, which readily runs on a laptop, provides a starting point for the rapid generation of lead antibodies binding to pre-selected epitopes.summaryA combinatorial method can rapidly design nanobodies for predetermined epitopes, which bind with KDs in the nanomolar range.
The impact of real-time fMRI denoising on online evaluation of brain activity and functional connectivity
Authors: Misaki Masaya , Bodurka Jerzy 
Published: March 2021

AbstractObjectiveComprehensive denoising is imperative in fMRI analysis to reliably evaluate neural activity from the blood oxygenation level dependent signal. In real-time fMRI, however, only a minimal denoising process has been applied and the impact of insufficient denoising on online brain activity estimation has not been assessed comprehensively. This study evaluated the noise reduction performance of online fMRI processes in a real-time estimation of regional brain activity and functional connectivity.ApproachWe performed a series of real-time processing simulations of online fMRI processing, including slice-timing correction, motion correction, spatial smoothing, signal scaling, and noise regression with high-pass filtering, motion parameters, motion derivatives, global signal, white matter/ventricle average signals, and physiological noise models with image-based retrospective correction of physiological motion effects (RETROICOR) and respiration volume per time (RVT).Main resultsAll the processing was completed in less than 400 ms for whole-brain voxels. Most processing had a benefit for noise reduction except for RVT that did not work due to the limitation of the online peak detection. The global signal regression, white matter/ventricle signal regression, and RETORICOR had a distinctive noise reduction effect, depending on the target signal, and could not substitute for each other. Global signal regression could eliminate the noise-associated bias in the mean dynamic functional connectivity across time.SignificanceThe results indicate that extensive real-time denoising is possible and highly recommended for real-time fMRI applications.
We can still feel good: evaluation of the I can feel good programme second edition in a low secure unit
Authors: Ashworth Sarah , Robinson Charlotte , Harrison Donna , Brotherton Natalie 
Published: March 2021

Purpose
This paper aims to present the process of reviewing, adapting and evaluating, the second edition of the I Can Feel Good programme (Ashworth et al., 2018) and adapted DBT programme facilitated at a low-security psychiatric hospital for men with intellectual disability. Through the presentation of programme development, evaluation and revision, a more thorough and transparent understanding of the process involved can be disseminated.

Design/methodology/approach
The programme lasted approximately 14 months and covered all four modules. N = 5, all-male, ages ranged between 23 and 57 years old. All detained under the MHA (1983) with a primary diagnosis of Mild ID with comorbid psychiatric diagnoses including mental illness, autism spectrum disorders and personality disorder. To evaluate routine effectiveness a pre-post comparison within groups design was used. A standardised GAS approach provided a template to score the degree to which identified goals were achieved over the intervention for participants.

Findings
Wilcoxon signed-rank tests were used due to data not meeting parametric assumptions regarding normal distribution. Except for the mindfulness module, all modules saw pre to post programme psychometric results in the desired direction, evidencing skills acquisition. Coping in crisis and managing feelings modules outcomes neared statistical significance, with the module of people skills demonstrating statistical significance (p < 0.05).

Originality/value
Upon examination of the results, it appears as though the second edition pilot programme, displayed initially promising results. The clinical and statistical aspects of the programme are explored, in the hope that clinicians may consider the programme’s application and utility within various clinical contexts, in addition to gaining insight into the process of programme development and refinement.
Effect of inter-organizational systems appropriation in agility and resilience development: an empirical investigation
Authors: Mandal Santanu , Dubey Ritesh Kumar 
Published: March 2021

PurposeThis study explored the role of inter-organizational systems (IOS) appropriation in the form of five key IOS usage-based capabilities, namely, IOS use for communication, intelligence, integration, collaboration and coordination in the development of tourism SC agility and resilience. Furthermore, the inter-relationship among these IOS usage-based capabilities were explored.Design/methodology/approachThe study collected perceptual measures from hotel managers and tour managers having sufficient experience in the tourism sector. With 209 completed responses, the data were analyzed using partial least squares.FindingsThe study found IOS use of communication and intelligence as prominent enablers of IOS use for integration, collaboration and coordination. Furthermore, IOS use for integration, collaboration and coordination was found to have a prominent influence in the development of tourism SC agility and resilience. However, the influence of IOS use for communication on collaboration was not supported. Also, the impact of IOS use for collaboration in tourism resilience development was not supported.Originality/valueThe study is the foremost to explore the role of IOS appropriation in the development of dynamic capabilities like agility and resilience in tourism. Furthermore, the study also contributed to extant literature on IOS appropriation through suggesting two additional factors, namely, IOS use for collaboration and coordination to the existing IOS usage-based capabilities.
Enabling situational awareness of business processes
Authors: Zhao Xiaohui , Yongchareon Sira , Cho Nam-Wook 
Published: March 2021

PurposeThe purpose of this research is to explore the ways of integrating situational awareness into business process management for the purpose of realising hyper automated business processes. Such business processes will help improve their customer experiences, enhance the reliability of service delivery and lower the operational cost for a more competitive and sustainable business.Design/methodology/approachOntology has been deployed to establish the context modelling method, and the event handling mechanisms are developed on the basis of event calculus. An approach on performance of the proposed approach has been evaluation by checking the cost savings from the simulation of a large number of business processes.FindingsIn this research, the authors have formalised the context presentation for a business process with a focus on rules and entities to support context perception; proposed a system architecture to illustrate the structure and constitution of a supporting system for intelligent and situation aware business process management; developed real-time event elicitation and interpretation mechanisms to operationalise the perception of contextual dynamics and real-time responses; and evaluated the applicability of the proposed approaches and the performance improvement to business processes.Originality/valueThis paper presents a framework covering process context modelling, system architecture and real-time event handling mechanisms to support situational awareness of business processes. The reported research is based on our previous work on radio frequency identification-enabled applications and context-aware business process management with substantial extension to process context modelling and process simulation.
How perceived risk, benefit and trust determine user Fintech adoption: a new dimension for Islamic finance
Authors: Ali Muhammad , Raza Syed Ali , Khamis Bilal , Puah Chin Hong , Amin Hanudin 
Published: March 2021

Purpose
This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

Design/methodology/approach
The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

Findings
The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

Originality/value
The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.
An empirical research on developing a logistics performance scale
Authors: Coşkun Artuğ Eren , Erturgut Ramazan 
Published: March 2021

PurposeThe main objective of this study is to identify reliable and valid performance dimensions for both the identification and quantification of logistics performance that continues its development in the academic literature.Design/methodology/approachQuantitative research approach was used in the scale development process. First, the logistical performance literature was analyzed in detail, and it was evaluated that the logistics performance consists mainly of logistics efficiency, logistics differentiation, logistics agility and logistics effectiveness dimensions. During the scale development process, opinions were obtained from academics, industry managers and pilot applications were carried out. For the implementation of the developed scale, a total of 108 companies engaged in logistics activities in Turkey were identified, and the developed scale was applied to 398 logistics professionals.FindingsA 28-item logistics performance scale has been developed based on the resource-based theory to measure totally five-dimensional performance. First, the three items under the logistics agility dimension were separated from this dimension as a result of the exploratory factor analysis, and it was understood that these items belong to the “logistics flexibility” dimension. The established structure was supported by confirmatory factor analysis. The reliability and validity of the scale are within the range of acceptable values.Research limitations/implicationsThe research data were collected from the Western Mediterranean region. The scale should be tested in different geographies.Originality/valueBy means of establishing a valid and reliable scale for logistics performance and its sub-dimensions, it is evaluated that this study will contribute to future research based on the measurement of logistics performance.
The post-adoption behavior of internet banking users through the eyes of self-determination theory and expectation confirmation model
Authors: Rahi Samar , Othman Mansour Majeed Mustafa , Alharafsheh Malek , Alghizzawi Mahmoud 
Published: March 2021

PurposeIn this era of digital technology, the banking sector has revolutionized its operations by using web-based Internet banking services. However, the success of these financial services is dependent on Internet banking user continuance intention instead of initial adoption. The current study develops a theoretical framework based on three well-known theories, namely the expectation–confirmation theory, self-determination theory (SDT) and the commitment trust theory, to investigate Internet banking user continuance intention towards use of Internet banking services.Design/methodology/approachFollowing positivist paradigm, a research survey was conducted towards Internet banking users of commercial banks. In response, 355 valid observations were retrieved and used for data analysis. For data analysis, this study has used a latest statistical approach, namely structural equation modelling (SEM).FindingsThis study has confirmed that factors underpinning the commitment trust theory, SDT and expectation–confirmation model have significant impact on Internet banking user continuance intention. The research model explained 68.4% of variance in determining Internet banking user continuance intention, which is substantial. The effect size analysis (f2) indicates that perceived usefulness is the most important factor among all other exogenous variables. The predictive relevance of the research model was found substantial Q2 50.3%. These findings confirmed that the research model has substantial power to predict Internet banking user continuance intention.Practical implicationsFrom a managerial perspective, findings of this research give deeper insight into financial advisors, bank managers and policy- makers to understand human motivation and expectation–confirmation factors in order to retain customers and gain return on Information Technology (IT) investment. Additionally, results suggest that attention should be given on user trust, which in turn boosts user intention towards continuance use of Internet banking services. Extension of the self-determination framework contributes to theory and augments e-commerce literature, especially in a post-adoption setting.Originality/valueThere are several studies that investigate Internet banking user pre-adoption behaviour. Therefore, less is discussed about the Internet banking user’s post-adoption behaviour. Findings of this study help financial advisors to comprehensively understand which factor influences Internet banking user behaviour towards continue use of Internet banking services.
The influence of dispositions and shared leadership on team–member exchange
Authors: Lau Rebecca S. , Cheung Gordon W. , Cooper–Thomas Helena D. 
Published: March 2021

PurposeThis study aims to examine two individual dispositions, propensity to trust and reciprocation wariness, as antecedents of team–member exchange (TMX) and how shared leadership moderates these relationships. It also investigates work engagement as a consequence of TMX.Design/methodology/approachData were collected from 175 employees in 42 teams; a multilevel random slope model was used to test the moderating effect of shared leadership at the team level and across levels.FindingsShared leadership provides a boundary condition for the relationships from propensity to trust and reciprocation wariness to work engagement through TMX. At the individual level, the positive effects of propensity to trust and negative effects of reciprocation wariness on TMX, and their indirect effects on work engagement through TMX, were weaker at higher shared leadership. At the team level, the positive relationship between propensity to trust and TMX was unconditional on shared leadership, whereas the relationship between reciprocation wariness and TMX was moderated by shared leadership. At the team level, shared leadership had positive effects on TMX and work engagement.Practical implicationsManagers can adopt shared leadership to encourage social exchanges among team members to enhance TMX and work engagement.Originality/valueThe study extends the TMX research by investigating dispositions as antecedents and work engagement as a consequence at both individual and team levels. It also identifies the moderating role played by team-level shared leadership, which provides a strong situation supporting reciprocal interactions.
Risk, efficiency and capital in a dual banking industry: evidence from GCC banks
Authors: Alsharif Mohammad 
Published: March 2021

PurposeThis study aims to extend the literature by simultaneously investigating the relationship between risk, efficiency and capital in the Gulf Cooperation Council (GCC) dual banking system.Design/methodology/approachThe study employs the simultaneous-equation modeling technique with a three-stage least square estimator on 60 listed GCC commercial banks from 2005 through 2018.FindingsAlthough GCC Islamic banks are more capitalized and liquid, they are riskier and less efficient than GCC conventional banks. Moreover, a higher level of capital reduces the insolvency and credit risk of GCC banks for both types of banks. However, it enhances the cost efficiency of GCC conventional banks only. GCC conventional banks also exhibit skimping behavior, while for GCC Islamic banks, cost efficiency is negatively associated with bank risk. This implies that the risk-taking behavior in Islamic banks is prompted by the incentives of the shareholders following the risk-sharing nature of Islamic banking.Originality/valueThis study differs from previous studies in many aspects. First, it relies on a recent long data set that covers the implementation of the accords of Basel II (introduced in 2004) and Basel III (introduced in 2010). Second, it estimates the efficiency of GCC banks based on separate frontiers for Islamic and conventional banks, ensuring the robustness of the results. In conclusion, to the best of the author's knowledge, this is the first study to investigate the intertemporal relationship between risk, efficiency and capital in the GCC dual banking industry.