bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bacteriophage inhibits murine norovirus replication after co-incubation in RAW 264.7 cells
Authors: Zhang Lili , Shahin Khashayar , Wang Ran 
Published: March 2021

AbstractBacteriophages (phages) are viruses of bacteria. Despite the growing progress in research on phage interactions with eukaryotic cells, our understanding of the roles of phages and their potential implications remains incomplete. The objective of this study was to investigate the effects of theStaphylococcus aureusphage vB_SauM_JS25 on murine norovirus (MNV) replication. Experiments were performed using the RAW 264.7 cell line. After phage treatment, MNV multiplication was significantly inhibited, as indicated by real-time quantitative PCR (RT-qPCR) analysis, western blot, and immunofluorescence assay. Furthermore, we demonstrated the transcriptional changes in phage–MNV co-incubated RAW 264.7 cells through RNA sequencing (RNA-Seq) and bioinformatic analysis. Our subsequent analyses revealed that the innate immune response may play an important role in the restriction of MNV replication, such as the cellular response to IFN-γ and response to IFN-γ. In addition, the gene expression ofIL-10, Arg-1, Ccl22, GBP2, GBP3, GBP5, andGBP7was proven to increase significantly by RT-qPCR, showing a strong correlation between RT-qPCR and RNA-Seq results. Furthermore, phage treatment activated guanylate binding proteins (GBPs), as revealed by RT-qPCR analysis, western blotting, and confocal microscopy. Taken together, these data suggest that the phage affects the innate response (such as the IFN-inducible GTPases and GBPs), reflecting their direct antimicrobial effect on the membrane structure of the MNV replication complexes, and therefore, exerts an antiviral effectin vitro. Collectively, our findings provide insights into the interactions of immune cells and phages, which improve our understanding of the actual role and potential of phages.
A topological approach to DNA similarity analysis from 5-dimensional representation
Authors: Ngoc Nguyen Dong Quan , Tan Le Phuong Dong , Hu Ziqing , Lin Lizhen 
Published: March 2021

AbstractIn this paper, we propose another topological approach for DNA similarity analysis. For each DNA sequence, we transform it into a collection of vectors in 5-dimensional space in which all nucleotides of the same type, say A, C, G, T are on the same line in this 5D space. Based on this special geometric property, we combine this representation with tools in persistent homology to obtain only zeroth persistence diagrams as a topological representation of DNA sequences. Similarities between DNA sequences are signified via how close the representing zeroth persistence diagrams of the DNA sequences are, based on the Wasserstein distance of order zero, which provides a new method for analyzing similarities between DNA sequences. We test our methods on the datasets of Human rhinovirus (HRV) and Influenza A virus.
Derivatized volatile organic compound characterization of Friulano wine from Collio (Italy–Slovenia) by HS-SPME-GC-MS and discrimination from other varieties by chemometrics
Authors: Licen Sabina , Muzic Elija , Briguglio Sara , Tolloi Arianna , Barbieri Pierluigi , Giungato Pasquale 
Published: March 2021

PurposeMethods to assess the authenticity and traceability of wines have been extensively studied as enhancers of food quality, allowing producers to obtain market recognition and premium prices. Among analytical techniques, the volatilome profile attained by gas chromatography coupled with mass spectrometry is acquiring more and more attention by the scientific community, together with the use of chemometricsDesign/methodology/approachThe volatilome profile of three varieties of blanc wines from the Collio area (namely Ribolla Gialla, Malvasia and Friulano) between Italy and Slovenia, was determined by head space-solid phase micro extraction-gas chromatography-mass spectrometry, enhancing the carbonyl compounds identification with O-(2, 3, 4, 5, 6-pentafluorobenzyl)-hydroxylamine with the aim of identifying the autochthonous Friulano variety.FindingsA two-step chemometric approach based on an unsupervised technique (PCA) followed by a supervised one (PLS-DA) allowed to identify possible markers for discriminating the Friulano Collio variety from the others, in particular two chemical classes were identified by PCA (ketones and long chain esters). PLS-DA showed 87% accuracy in classification. A correct classification (i.e. non-Friulano Collio) of a group of wines obtained from the same grape variety but produced in an extra-Collio area was obtained as well. The results confirmed the benefits of using a derivatization step prior to volatile organic compounds analysis.Research limitations/implicationsAmong methods to assess the authenticity and traceability of wines, volatilome profile of wines determined by head space-solid phase micro extraction-gas chromatography-mass spectrometry, enhanced by the carbonyl compound identifications with O-(2, 3, 4, 5, 6-pentafluorobenzyl)-hydroxylamine, may have a key role in conjunction with chemometrics and, in particular with principal component analysis and partial least square discriminant analysis.Practical implicationsAmong methods to assess the authenticity and traceability of Friulano wine, volatilome profile of wines determined by head space-solid phase micro extraction-gas chromatography-mass spectrometry, enhanced by the carbonyl compound identifications with O-(2, 3, 4, 5, 6-Pentafluorobenzyl)Hydroxylamine hydrochloride, may have a key role in conjunction with chemometrics.Originality/valueFew works investigated both wine traceability with a volatilome enhancer and chemometrics of the Friulano wine variety obtaining such an improvement in this wine variety discrimination.
The evolution of habit formation effect on sugar consumption of urban residents in China
Authors: Zhai Tianchang , Long Wenjin , Si Wei 
Published: March 2021

PurposeThe purpose of this study is to explain the rapid growth of urban residents' sugar consumption in China from the perspective of habit formation.Design/methodology/approachUsing the provincial panel data of Chinese urban households from 1995 to 2012, this study uses the two-step System Generalized Moment Method (GMM) to test the habit formation effect on residents' sugar expenditure in urban China. We also use system GMM and the recursive estimated method to explore the changes of the habit formation coefficients in different years.FindingsWe find a significant habit formation effect on overall residents' sugar expenditure and different types of sugary foods expenditure. The habit formation effect on total residents' sugar expenditure and different types of sugary foods is decreasing over the years. The patterns of the changes of the habit formation effect on different types of sugar foods are slightly different.Research limitations/implicationsDue to data limitations, we are not able to do household-level analysis and to examine the heterogeneity of the habit formation effect.Originality/valueThis is the first study that examines changes in the habit formation effect on residents' sugar expenditure in urban China. Our findings provide a reasonable explanation for the rapid growth of residents' sugar consumption in urban China. The result helps to formulate targeted policies for future interventions to control the growth of sugar consumption.
Adaptive hybrid arbiter design for real-time traffic-aware scheduling
Authors: Khan Afshan Amin , Mir Roohie Naaz , Din Najeeb-Ud 
Published: March 2021

Purpose
This work focused on a basic building block of an allocation unit that carries out the critical job of deciding between the conflicting requests, i.e. an arbiter unit. The purpose of this work is to implement an improved hybrid arbiter while harnessing the basic advantages of a matrix arbiter.

Design/methodology/approach
The basic approach of the design methodology involves the extraction of traffic information from buffer signals of each port. As the traffic arrives in the buffer of respective ports, information from these buffers acts as a source of differentiation between the ports receiving low traffic rates and ports receiving high traffic rates. A logic circuit is devised that enables an arbiter to dynamically assign priorities to different ports based on the information from buffers. For implementation and verification of the proposed design, a two-stage approach was used. Stage I comprises comparing the proposed arbiter with other arbiters in the literature using Vivado integrated design environment platform. Stage II demonstrates the implementation of the proposed design in Cadence design environment for application-specific integrated chip level implementation. By using such a strategy, this study aims to have a special focus on the feasibility of the design for very large-scale integration implementation.

Findings
According to the simulation results, the proposed hybrid arbiter maintains the advantage of a basic matrix arbiter and also possesses the additional feature of fault-tolerant traffic awareness. These features for a hybrid arbiter are achieved with a 19% increase in throughput, a 1.5% decrease in delay and a 19% area increase in comparison to a conventional matrix arbiter.

Originality/value
This paper proposes a traffic-aware mechanism that increases the throughput of an arbiter unit with some area trade-off. The key feature of this hybrid arbiter is that it can assign priorities to the requesting ports based upon the real-time traffic requirements of each port. As a result of this, the arbiter is dynamically able to make arbitration decisions. Now because buffer information is valuable in winning the priority, the presence of a fault-tolerant policy ensures that none of the priority is assigned falsely to a requesting port. By this, wastage of arbitration cycles is avoided and an increase in throughput is also achieved.
The evaluation of the relationship between customers’ knowledge management and their loyalty to academic libraries
Authors: Malakooti Asl Nargess , Kaffashan Kakhki Mojtaba , Parirokh Mehri 
Published: March 2021

Purpose
This study aims to investigate the relationship between customers’ knowledge management and their loyalty to academic libraries.

Design/methodology/approach
This study was conducted by the descriptive-survey method. After determining the validity and the reliability of the questionnaire, 400 questionnaires were distributed among the undergraduate students of Ferdowsi University of Mashhad (FUM) by stratified sampling method. Finally, 373 questionnaires were considered as the basis for data analysis. Structural equation method was used for data analysis.

Findings
In this study, nine hypotheses were examined and tested. The results of the path analysis indicated that factors such as perceived value, knowledge about customer, satisfaction, perceived quality, knowledge for customer and knowledge about customer had the most to least impact on customer loyalty to academic libraries. In addition, this study highlighted the role of perceived value. Data analysis showed the important role of perceived value as an interface between customers’ knowledge management and its direct and indirect relationship with them.

Practical implications
Based on the findings of this study, it seems that the managers and the librarians of academic libraries need to consider the relationship between customers’ knowledge management and perceived quality, as well as the satisfaction of their customers to use the customer knowledge management capacities for developing their loyalty.

Originality/value
In this case, an effective step can be taken toward developing the knowledge management of users and ultimately encouraging them to show their loyalty to academic libraries and satisfying their information needs and providing the justification for the survival of these types of libraries.
Sensor and photovoltaic dual functions of a-Si:H solar cell in smart clothing and eyewear
Authors: Lin Miao-Tzu 
Published: March 2021

PurposeFlexible hydrogenated amorphous silicon (a-Si:H) solar cells have many advantages, including lower weight, good flexibility and light sensitivity. Moreover, a-Si:H solar cells can be used as sensors, as indoor light sources and can also generate electricity. These solar cells are suitable for the design of portable systems and curved materials. The purpose of this study was to integrate flexible a-Si:H solar cells and wearable technology and to apply the dual functions of photovoltaics and photo sensors to smart clothing and eyewear.Design/methodology/approachThe integration of flexible a-Si:H solar cells and tri-colour light-emitting diodes (LEDs) was used to develop smart auto-flashing clothing. In addition, we combined flexible a-Si:H solar cells and twisted nematic (TN) liquid crystal (LC) cells to design smart self-activation eyewear.FindingsThe maximum power resistance value of flexible a-Si:H solar cells was used to deduce the equation of solar cell voltage value generated by different percentages of SUN (100% SUN means 100 mW/cm2). A solar cell was used as a photo sensor that connects a resistor in a series to the Arduino to detect the voltage value, and then different percentages of SUN are calculated from the equation. Applying the deduced equation to the smart phone APP and Arduino code, we developed a human–machine interface (HMI) to facilitate user operation.Originality/valueIn this study, the flexible a-Si:H solar cell performs the function of not only photovoltaic power generation but also that of a photo sensor. The smart auto-flashing clothing is suitable for traffic guides, joggers and people engaging in other night activities. This smart self-activating eyewear can adjust to light and protect the eyes.
Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran
Authors: Nazemi Behrooz , Rafiean Mohsen 
Published: March 2021

Purpose
The purpose of this paper is to use Group Method of Data Handling (GMDH)-type artificial neural network to model the affecting factors of housing price in Isfahan city housing market.

Design/methodology/approach
This paper presents an accurate model based on GMDH approach to describing connection between housing price and considered affecting factors in case study of Isfahan city based on trusted data that have been collected from 1995 to 2017 for every six months. The accuracy of the model has been evaluated by mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) in this case.

Findings
Due to the obtained value of MAPE, RMSE and MAE and also their interpretation, accuracy of modelling the factors affecting housing price in Isfahan city housing market using GMDH-type artificial neural network that has been conducted in this paper, is acceptable.

Research limitations/implications
Due to limitation of reliable data availability about affecting factors, selected period is from 1995 to 2017. Accessing to longer periods of reliable data can improve the accuracy of the model.

Originality/value
The key point of this research is reaching to a mathematical formula that accurately shows the relationships between housing price in Isfahan city and effective factors. The simplified formula can help users to use it easily for analysing and describing the status of housing market in Isfahan city of Iran.
Can offline–online congruence explain online loyalty in electronic commerce?
Authors: Ruiz-Molina Maria Eugenia , Gómez-Borja Miguel-Ángel , Mollá-Descals Alejandro 
Published: March 2021

PurposeOne key issue to be addressed in multichannel retailing strategies has to do with ensuring the consistency of the retailer offerings between the brick-and-mortar and the online stores to offer their customers a seamless experience. This study assesses whether perceived congruence may be relevant to identify segments of heterogeneous based on their online loyalty levels as well as other constructs and variables related to the customer relationship with the retailer for two different product categories.Design/methodology/approachFrom the responses of apparel and electronics multichannel shoppers to an online survey, a CHAID algorithm was performed to identify the most relevant congruence attribute(s) perceived by customers for predicting their loyalty levels toward the online store.FindingsThe results have allowed the identification of five segments of online shoppers, both for apparel and for electronics retailing, so that customers showing the highest scores in all congruence attributes also showed a higher loyalty toward the online store.Research limitations/implicationsThis study presents a first insight into the link between perceived congruence and online loyalty in retailing using a CHAID segmentation-based approach by differentiating various dimensions of perceived congruence for two product categories.Practical implicationsThe results obtained allow for inferring a series of strategies and actions that retailers can adopt for improving perceived congruence between physical and online stores along with a series of dimensions, and ultimately, increase online loyalty.Originality/valueAs the interest of the literature on perceived congruence between offline and online stores is relatively recent, this exploratory research contributes to shedding light on the implications of specific congruence dimensions between the offline and the online store in terms of consumer online loyalty in all multicategory setting.
The food we waste: antecedents of food wastage management behaviour
Authors: Nair Girish 
Published: March 2021

PurposeThis research is on the study of the variables which have bearing on behavioural aspects of food wastage in Qatar. As about 30% of food is being wasted in Qatar, despite the fact that 90% of food consumption is imported, the problem has now drawn national importance.Design/methodology/approachThis research adopts positivist paradigm, and Ajzen's theory of planned behaviour (TPB) provides the theoretical foundation. Questionnaire survey has been used to collect data from the consumers in Qatar (n = 212), based on convenience sampling, and the tool used for analysis is structural equation modelling (SEM) using partial least square method (PLSM).FindingsOut of the five hypotheses being tested, four have been supported, which have led to the drawing of the implications and suggestions to reduce or even avoid food wastage. The study has revealed that both attitude and perceived behavioural control act as significant predictors of intention to avoid food wastage, which in turn is the predictor of food wastage behaviour. In addition, it is also revealed that perceive behavioural control is a direct predictor of food wastage behaviour.Research limitations/implicationsMore research may be required to further investigate why Qatari consumers have not been influenced by subjective norms on their intention to avoid food wastage.Practical implicationsThe suggestions have been drawn to the concerned authorities in Qatar to consider as measures of food waste minimization.Social implicationsTheoretically, the research provides an empirical proof to Ajzen's TPB in the context of food wastage management.Originality/valueAn attempt has been made to study the food wastage behaviour of the residents of Qatar so that the antecedents of food wastage behaviour can be identified and remedial actions may be taken to reduce food wastage.
Influence of political leaders on sustainable development goals – insights from twitter
Authors: Grover Purva , Kar Arpan Kumar , Gupta Shivam , Modgil Sachin 
Published: March 2021

PurposeThe importance and criticality of sustainable development goals is witnessed by 195 member countries. For its full-fledged adoption and implementation, it needs to be understood by masses and political leaders are critical agents those engage diverse communities through social media such as twitter. Therefore, in this study focuses on how political leaders can influence the sustainable development goals through Twitter.Design/methodology/approachThis study examines the social media conversations of political leaders on Twitter. Social media analytics methods such as sentiment mining, topic modelling and content analysis-based methods have been used.FindingsThe findings indicate that most political leaders are primarily discussing the sustainable development goals (SDGs) “partnership for goals” and “peace, justice and strong institutions”. Many other goals such as “clean water and sanitation”, “life below water”, “zero hunger”, “no poverty” and “educational quality” are not being focused on.Research limitations/implicationsThis study offers implications in terms of collective decision making and the role of policy makers towards the goals of promoting SDGs. The authors highlight how political leaders need to involve key stakeholders in this journey.Originality/valueThis study scores and provides a cohort-specific prioritization of the leadership within these countries with regard to SDGs, which could be beneficial to the society.
Does financial inclusion induce poverty, income inequality, and financial stability: empirical evidence from the 54 African countries?
Authors: Khan Iftikhar , Khan Ismail , Sayal Aziz Ullah , Khan Muhammad Zubair 
Published: March 2021

PurposeThe aim of the study is to examine the impact of financial inclusion on poverty, income inequality and financial stability using panel data of 54 African countries.Design/methodology/approachTo achieve this objective, the current study used multiple regressions across an unbalanced panel data of 54 African countries which are based on the four years mean value for the period 2001–2019.FindingsThe results show that financial inclusion (FI) is a valuable indicator; it reduces poverty, income inequality and improves financial stability.Research limitations/implicationsThe study invokes the attention of government and policymakers to build up a financially inclusive system which, in turn, leads to improve financial stability and lower poverty and income inequality. They should focus on quality and sustainable financial products and services in terms of financial inclusion to avoid dominant accounts and ensure consumer protection.Originality/valueThis adds to the scarce literature on the impact of financial inclusion on poverty, income inequality and financial stability in the context of African countries. The study contributes to the literature on the issue of financial inclusion and poverty, income inequality and financial stability by reconfirming (or otherwise) findings of previous studies.