bluuebunny/crossref_metadata_2025_split huggingface dataset:
Definition of a saxitoxin (STX) binding code enables discovery and characterization of the Anuran saxiphilin family
Authors: Chen Zhou , Zakrzewska Sandra , Hajare Holly S. , Alvarez-Buylla Aurora , Abderemane-Ali Fayal , Bogan Maximiliana , Ramirez Dave , O’Connell Lauren A. , Bois J. Du , Minor Daniel L. 
Published: June 2022

AbstractAmerican bullfrog (Rana castesbeiana) saxiphilin (RcSxph) is a high-affinity ‘toxin sponge’ protein thought to prevent intoxication by saxitoxin (STX), a lethal bis-guanidinium neurotoxin that causes paralytic shellfish poisoning (PSP) by blocking voltage-gated sodium channels (NaVs). How specific RcSxph interactions contribute to STX binding has not been defined and whether other organisms have similar proteins is unclear. Here, we use mutagenesis, ligand binding, and structural studies to define the energetic basis of Sxph:STX recognition. The resultant STX ‘recognition code’ enabled engineering of RcSxph to improve its ability to rescue NaVs from STX and facilitated discovery of ten new frog and toad Sxphs. Definition of the STX binding code and Sxph family expansion among diverse Anurans separated by ∼140 million years of evolution provides a molecular basis for understanding the roles of toxin sponge proteins in toxin resistance and for developing novel proteins to sense or neutralize STX and related PSP toxins.TeaserA conserved STX recognition motif from frog and toad saxiphilins defines molecular principles of paralytic toxin binding.
Hydrodynamic dissection of single cells in a microfluidic system
Authors: Paul Rajorshi , Zhang Kevin S. , Jalil Myra Kurosu , Castaño Nicolas , Kim Sungu , Tang Sindy K.Y. 
Published: June 2022

ABSTRACTStentor coeruleus, a single-cell ciliated protozoan, is a model organism for wound healing and regeneration studies. DespiteStentor’s large size (up to 2 mm in extended state), microdissection ofStentorremains challenging. In this work, we describe a hydrodynamic cell splitter, consisting of a cross junction, capable of splittingStentorcells in a non-contact manner at a high throughput of ∼500 cells/min under continuous operation. Introduction of asymmetry in the flow field at the cross junction leads to asymmetric splitting of the cells to generate cell fragments as small as ∼8.5 times the original cell size. Characterization of cell fragment viability shows reduced 5-day survival as fragment size decreases and as the extent of hydrodynamic stress imposed on the fragments increases. Our results suggest that cell fragment size and composition, as well as mechanical stress, play important roles in the long-term repair ofStentorcells and warrant further investigations. Nevertheless, the hydrodynamic splitter can be useful for studying phenomena immediately after cell splitting, such as the closure of wounds in the plasma membrane which occurs on the order of 100 – 1000 seconds inStentor.
Inclusion of a GaAs detector model in the Photon Counting Toolkit software for the study of breast imaging systems
Authors: Ghammraoui Bahaa , Taguchi Katsuyuki , Glick Stephen J. 
Published: June 2022

AbstractWe present an upgraded version of the Photon Counting Toolkit (PcTK), a publicly available MATLAB tool for the simulation of semiconductor-based photon counting detectors (PCD), which has been extended and validated to account for gallium arsenide (GaAs)-based PCD(s). The modified PcTK version was validated by performing simulations and acquiring experimental data for three different cases. The LAMBDA 60 K module planar detector (X-Spectrum GmbH, Germany) based on the Medipix3 ASIC technology was used in all cases. This detector has a 500-µm thick GaAs sensor and a 256 × 256-pixel array 55 µm pixel size. The first validation was a comparison between simulated and measured spectra from a 109Cd radionuclide source. In the second validation study, experiments and simulations of mammography spectra were conducted to observe the performance of the GaAs version of the PcTK with polychromatic radiation used in conventional x-ray imaging systems. The third validation study used single event analysis to validate the spatio-energetic model of the extended PcTK version. Overall, the software provided a good agreement between simulated and experimental data, validating the accuracy of the GaAs model. The software could be an attractive tool for accurate simulation of breast imaging modalities relying on photon counting detectors and therefore could assist in their characterization and optimization.
Working toward the sustainable development goals in earnest – critical international business perspectives on designing and implementing better interventions
Authors: Sinkovics Noemi , Vieira Luciana Marques , van Tulder Rob 
Published: June 2022

Purpose
The purpose of this study is to reflect on the importance of the Sustainable Development Goals (SDG) framework as a milestone for concerted efforts to tackle the underlying grand challenges.

Design/methodology/approach
This viewpoint is predominantly conceptual in nature. However, this study adapts the University of Auckland's SDG key words to broadly map existing international business research in each SDG category across nine journals.

Findings
The SDG framework offers a positive and inclusive way forward to integrate social and environmental with economic aspects in the field of international business.

Originality/value
The inclusive nature of the SDG framework may achieve what previous labels such as social value creation and corporate social responsibility could not. It offers a path where integrating social and environmental with economic perspectives does not need to threaten the identity of the field. The SDG mapping exercise across nine selected journals clearly demonstrates that mainstream, economically focused research can continue to make valuable contributions to the SDGs as long as the discipline allows more room for integrators.
Tracking the research trends in the library and information science: a case study of India
Authors: Gupta Sangita , Gul Sumeer 
Published: June 2022

Purpose
The study aims to present an insight into the research landscape of Library and Information Science (LIS) by India using a bibliometric visualization tool. The study analyses the research growth and trends, highly cited articles, productive publication titles, institutional and country collaboration.

Design/methodology/approach
The data were downloaded from the Web of Science Core Collection for a period of 20 years and analysed through VOSviewer, a data visualization software.

Findings
The results indicate that the overall annual contributions are increasing, although with uneven and slow growth from 2001 to 2014. However, the highest contributions and impact is witnessed over the past few years. All the top 10 cited papers are related to the area of information processing and management. The visualization technique made it clear that the area of research has made a transition from traditional concepts of library and information to novel ones involving big data, machine learning, altmetrics, etc. Also, the Indian Institute of Technology System, the Council of Scientific and Industrial Research and the Indian Institute of Management System have made the highest contributions. Furthermore, India shares maximum collaborations with the USA, followed by England and China.

Research limitations/implications
The findings of this study would help readers to gain understanding about the contribution of India for the development of the LIS. It would also help researchers to identify the hotspots and left out areas of research in the Indian context that require further investigation, thus would help in policy decisions and future research. Furthermore, researchers will be sensitized about the network visualizations that can also help them to get connected with the peers. The study can also help the journals to recognize the trending topics, which will provide the researchers with the opportunities to work on the same. Funding agencies can also be benefitted by the findings of the current study as they will be informed about the research areas which need to be funded.

Originality/value
There are not many research studies that highlight the research trends in the area of LIS from India and visualize the collaboration among institutions and countries. The study tries to showcase the research trends and collaborative frameworks in the field of LIS in terms of network visualization.
Effect of economic complexity on services export diversification: do foreign direct investment inflows matter?
Authors: Gnangnon Sena Kimm 
Published: June 2022

PurposeThe purpose of this study is to explore the effect of economic complexity on services export diversification. This study has been built on two arguments. The first one draws from Eichengreen and Gupta (2013b) and states that countries that export complex products would have a high penetration in the international goods market and establish a network that could be exploited to expand their range of services export items. Second, by inducing higher inflows of foreign direct investment (FDI), greater economic complexity could contribute to fostering services export diversification.Design/methodology/approachThe empirical analysis uses a panel data set of 109 countries (both developed and developing countries) over the period of 1985–2014, and in particular, non-overlapping sub-periods of five-year average data. Building on the two-step system Generalized Method of Moments, the empirical analysis has provided support for the above-mentioned two theoretical hypotheses.FindingsThe findings indicate that greater economic complexity has been associated with a higher level of services export diversification, and the magnitude of this positive effect is higher for high-income countries than for developing countries. Furthermore, the share of FDI inflows (in percentage of gross domestic product) matters for the effect of economic complexity on services export diversification. Specially, economic complexity exerts a higher positive effect on services export diversification, as the share of net FDI inflows in gross domestic product increases.Research limitations/implicationsFrom a policy perspective, the analysis complements previous works on the effects of economic complexity (e.g. on economic growth, income inequality, poverty, etc.), by showing that economic complexity also matters for fostering the diversification of countries' services export items. Enhancing economic complexity should be at the heart of policymakers' agenda, both at the national and international levels, given its strong positive effect on macroeconomic aggregates, including on services export diversification, the latter being also an important engine for economic growth (Anandet al., 2012; Gnangnon, 2021a; Mishraet al., 2011; Stojkoskiet al., 2016).Practical implicationsThis study opens an avenue for future research on whether services export diversification influences economic complexity. One avenue for future research could also be to explore the effect of comparative advantage on goods and services (using the Balassa's revealed comparative advantage index) on services export diversification. Future works could also examine how economic complexity affects different categories of services sectors, including traditional services and modern services.Originality/valueTo the best of the author’s knowledge, this study is the first to address this topic in the literature.
A bibliometric analysis on poverty alleviation
Authors: Hassan M. Kabir , Alshater Muneer M. , Banna Hasanul , Alam Md Rabiul 
Published: June 2022

Purpose
World legends and the scientific community have taken the devastating impact of poverty issue seriously which has been reflected in the growing trend of research in this area. Hence, this paper aims to conduct a bibliometric analysis on poverty alleviation literature, discuss the various dimensions of poverty alleviation and deliver some ideas for future research.

Design/methodology/approach
This study deploys a combined quali-quantitative method familiar as meta-literature review on 454 articles collected from the Web of Science (WoS) database with Social Science Citation Index (SSCI) coverage over the period 1971–2020. Using Rstudio, VOSviewer and Excel, the collected data have been analysed from different lenses.

Findings
This study considers the most contributing scientific actors like authors, journals, topics, institutions and countries as parameters for analysing articles. Based on the analysis from various perspectives, it determines five main research streams upon which it provides some potential research directions to be considered in future research.

Research limitations/implications
This study solely relies on the articles available in the WoS database with index in SSCI. However, it excludes analysing thousands of articles on the same topic available in other platforms.

Originality/value
This study provides a retrospective on the scientific works and collective efforts of scholars germane to poverty alleviation from the highest ranked journals, which would help better understand the literature development and the intellectual structure of this field.
Gender of the online influencer and follower: the differential persuasive impact of homophily, attractiveness and product-match
Authors: Gupta Pranjal , Burton Jennifer L. , Costa Barros Letícia 
Published: June 2022

PurposeThe purpose of this research is to extend theoretical knowledge of key variables and their interactions that impact the persuasiveness of online influencers. The study explores the interactions between influencer gender, follower gender, influencer physical attractiveness, influencer product-match and influencer-follower homophily on persuasiveness of influencer product promotions. Although the extant literature shows the persuasive impact of attractiveness, product-match, gender and homophily, less is known about the interactions of these variables with each other and the gender of the influencer and his or her followers. These gaps in the literature are explored.Design/methodology/approachThe study is a scenario-based experiment where respondents were randomly assigned to cells where influencer attractiveness and product-match were manipulated. The variables of homophily and respondent gender were measured and recorded, respectively. The data were collected through an online survey done through Qualtrics.FindingsThe findings show that for female influencers, homophily felt by their followers is a dominant persuasive factor, which tends to supersede the variables of attractiveness and product-match. For male influencers, homophily is an incremental persuasive variable. That is, homophily, attractiveness and product-match interact such that persuasiveness is highest when all three variables are strong.Research limitations/implicationsLimitations are that the authors used a student sample and a hypothetical scenario-based experiment. Theoretical implications are interesting in that the authors have results which add to theory on the factors that make an online influencer more persuasive. Specifically, the authors contribute by extending theoretical knowledge about the interactions of key variables that influence the impact of online influencers.Practical implicationsFor a manager marketing products using influencers, it is very important to stress homophily cues for female influencers more than other variables. However, for male influencers, product knowledge or match, homophily and attractiveness all need to work simultaneously to maximize influencer persuasiveness.Social implicationsOne needs to understand that physical attractiveness and perceived homophily with the influencer have significant influence and persuasiveness, regardless of product or service. Hence, there needs to be social responsibility in what is advertised and promoted, given that followers may be persuaded by influencers no matter what the product or service is.Originality/valueTo the best of the authors' knowledge, this is the first study that explores the persuasiveness of online influencers from the perspective of the variable interactions described above.
Economic policy uncertainty of China and investment opportunities: a tale of ASEAN stock markets
Authors: Mohd Thas Thaker Hassanudin , Mohd Thas Thaker Mohamed Asmy , Sakti Muhammad Rizky Prima , Sifat Imtiaz , Allah Pitchay Anwar , Iqbal Hussain Hafezali 
Published: June 2022

PurposeThe purpose of this paper is to examine the effect of economic policy uncertainty (EPU) of China on investment opportunities in five ASEAN economies.Design/methodology/approachThis paper employs advanced empirical approaches, such as Multivariate DCC-GARCH and Continuous Wavelet Transform (CWT) to test the research objective. The period of analysis involved monthly data from 2003 until 2019.FindingsThis paper provides evidence where the Malaysian stock market to be the least exposed to risks emanating from Chinese EPU, followed by Singapore, the Philippines, Thailand and Indonesia. Results for investment opportunities based on time horizon suggest, for a short-term holding period, investors are better off investing in Singapore and Indonesia, while, for medium-term holding periods, all ASEAN markets appear lucrative except for the Philippines.Practical implicationsFrom a managerial perspective, the outcome or findings of this study are expected to aid the retail and institutional investors in designing better strategies on diversifying a stock portfolio with different holding periods.Originality/valueTheoretically, the findings of this study contribute fresh insights into an emerging strand of literature focusing on the transmission of regional policy. Methodologically as well, this study is a novel venture to the best of authors' knowledge.
Psychological and lifestyle predictors of mental health in higher education: how healthy are our students?
Authors: Catling Jonathan , Michail Maria , Lakhani Noureen , Devine Rory 
Published: June 2022

Purpose
The continued increase in mental health problems in students in higher education is a global public health concern. This study aims to examine the predictors of mental health in the context of higher education, focusing on first-year female undergraduate students as a particularly vulnerable group.

Design/methodology/approach
Two hundred first-year female undergraduates from a UK Higher Education Institution took part in a quantitative survey. Participants completed a range of questionnaires assessing resilience, perceived stress, levels of depression, hope, general anxiety and levels of exercise.

Findings
Two significant individual predictors of depression were identified: perceived stress and resilience. A mediation analysis showed that resilience acted as mediator for the impact of stress on depression. Two significant individual predictors of anxiety were identified: stress and exercise. There were no significant mediators.

Originality/value
To the best of the authors’ knowledge, this is the first time a range of psychological and lifestyle predictors of mental health while exploring potential mediators have been investigated. From the findings, the authors suggest that psychoeducational interventions targeting resilience while also providing problem-solving strategies could augment internal resources and promote positive mental health in this particularly vulnerable group of young people.
Fabrication of fluorine and silver co-doped ZnO photodetector using modified hydrothermal method
Authors: Muhammad Aminu , Mohammad Sabah M. , Hassan Zainuriah , Rajamanickam Suvindraj , Abed Shireen Mohammed , Ashiq M.G.B. 
Published: June 2022

Purpose
The purpose of this study is to dope silver (Ag) and fluorine (F) in zinc oxide (ZnO) for the enhancement of electrical and optical properties of ZnO, as previous studies reported the improvement of these properties using individual doping of F and Ag. In this paper, F and Ag co-doped ZnO nanorods were synthesized using a modified hydrothermal method.

Design/methodology/approach
The hydrothermal method was modified and used for the synthesis of the doped ZnO nanostructures, where stainless autoclave and oven were replaced with the Duran laboratory bottle and water boiler system in the process. The ultraviolet metal-semiconductor-metal photodetector (PD) was fabricated using DC sputtering method.

Findings
Vertically aligned nanorods images were captured from field emission scanning electron microscopy. XPS analysis confirmed greater spin-orbital interaction in the F and Ag co-doped ZnO sample and revealed the presence of F, Ag, Zn and O in the samples, indicating a successful doping process. X-ray diffraction revealed a hexagonal wurtzite structure with enhanced crystal quality upon co-doping. The bandgap decreased from 3.19 to 3.14 eV upon co-doping because of reduced defects density in the sample. Finally, an ultra-violet PD was fabricated with enhanced sensitivity and response times upon co-doping.

Originality/value
The low-cost, less energy-consuming Duran laboratory bottle and water boiler system were used as the substitute of expensive, more energy-consuming stainless autoclave and oven in a hydrothermal method for synthesis of F and Ag co-doped ZnO and subsequent fabrication of PD.
Rapid consolidation of 3D printed composite parts using compression moulding for improved thermo mechanical properties
Authors: Savandaiah Chethan , Maurer Julia , Plank Bernhard , Steinbichler Georg , Sapkota Janak 
Published: June 2022

Purpose
3D printing techniques such as material extrusion based additive manufacturing provide a promising and cost effective manufacturing technique. However, the main challenges in industrial applications remain with the quality assurance of mass produced parts. The purpose of this study is to investigate the effect of compression moulding as a rapid consolidation method for 3D printed composites, with an aim to reduce voids and defects and thus improving quality assurance of printed parts.

Design/methodology/approach
To develop an understanding of the inherent voids in 3D parts and the influence on mechanical properties, material extrusion additively manufactured (MEX) parts were post consolidated by using compression moulding at elevated temperature.

Findings
This study comparatively investigates the influence of carbon fibre length, undergoing process induced scission during filament extrusion and IM and its impact on void content and mechanical properties. It was found that the post consolidation significantly reduced the voids and the mechanical properties were significantly improved compared to the nonconsolidated material extrusion additively manufactured parts, reaching values similar to those of the IM parts.

Practical implications
Adaptation of extrusion-based additive manufacturing with hybridisation of reliable compression moulding technology transcends into series production of highly adaptive end user applications, such as drones, advanced sports prosthetics, competitive cycling and more.

Originality/value
This paper adds to the current understanding of 3D printing and provides a step towards quality assurance for mass production.