bluuebunny/crossref_metadata_2025_split huggingface dataset:
Turicibacterales protect mice from severeCitrobacter rodentiuminfection
Authors: Hoek Kristen L. , McClanahan Kathleen G. , Latour Yvonne L. , Shealy Nicolas , Piazuelo M. Blanca , Vallance Bruce A. , Byndloss Mariana X. , Wilson Keith T. , Olivares-Villagómez Danyvid 
Published: April 2023

ABSTRACTOne of the major contributors to child mortality in the world is diarrheal diseases, with an estimated 800,000 deaths per year. Many pathogens are causative agents of these illnesses, including the enteropathogenic (EPEC) or enterohemorrhagic (EHEC) forms ofEscherichia coli. These bacteria are characterized by their ability to cause attaching and effacing lesions in the gut mucosa. Although much has been learned about the pathogenicity of these organisms and the immune response against them, the role of the intestinal microbiota during these infections is not well characterized. Infection of mice withE. colirequires pre-treatment with antibiotics in most mouse models, which hinders the study of the microbiota in an undisturbed environment. UsingCitrobacter rodentiumas a murine model for attaching and effacing bacteria, we show that C57BL/6 mice deficient in granzyme B expression are highly susceptible to severe disease caused byC. rodentiuminfection. Although a previous publication from our group shows that granzyme B-deficient CD4+T cells are partially responsible for this phenotype, in this report we present data demonstrating that the microbiota, in particular members of the order Turicibacterales, have an important role in conferring resistance. Mice deficient inTuricibacter sanguinishave increased susceptibility to severe disease. However, when these mice are co-housed with resistant mice, or colonized withT. sanguinis, susceptibility to severe infection is reduced. These results clearly suggest a critical role for this commensal in the protection against entero-pathogens.
Construction in the digital age: exploring the benefits of digital technologies
Authors: Aliu John , Oke Ayodeji Emmanuel 
Published: April 2023

PurposeThe purpose of this article was to identify and evaluate the benefits of adopting digital technologies (DTs) in the Nigerian construction industry, to ensure that construction projects are efficiently and effectively executed.Design/methodology/approachA scoping literature review was conducted through which benefits of implementing DTs were identified, which helped in the formulation of a questionnaire survey. Data were obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using several statistical tools such as percentages, frequencies, mean item scores and exploratory factor analyses.FindingsBased on the mean item score ranking results, the top five significant benefits of adopting DTs were increased operational efficiency, increased productivity, increased speed of executing tasks, seamless working methodology and accurate documentation of data. Findings from the factor analysis revealed six clusters of benefits namely an improved framework for operations, improved innovativeness, improved safety practices, increased competitive edge, greater accuracy and increased productivity.Practical implicationsThis study expands on the existing discussions surrounding the digital transformation of the construction sector in developing countries, particularly in Nigeria, a region where the awareness and implementation of smart and innovative technologies are still at an infant stage.Originality/valueAlthough several studies on the benefits of adopting DTs in the construction industry of developing countries exist, very few have been conducted in the Nigerian context. Thus, this is a significant knowledge gap that must be filled. Thus, the findings of this study can serve as a basis for construction organizations in Nigeria and similar countries seeking the digital transformation of their activities.
Challenges in smart nation building: a solution-oriented framework based on a systematic literature review
Authors: Penmetsa Murali Krishna , Bruque-Camara Sebastián 
Published: April 2023

Purpose
Nations are opening their “digital borders” to allow the free movement of business, employment and skills. However, this process of digitalization is fraught with challenges. This study aims to identify these challenges to build a solution-oriented framework for smart nations.

Design/methodology/approach
This study conducted a systematic literature review, analyzing 69 peer-reviewed academic papers out of 5,958 identified papers.

Findings
The identified challenges for smart nation building were categorized as follows: people and society, technology and innovation, digital infrastructure, politics, governance, economics and business and sustainability. To overcome these challenges, this study highlights the need for a holistic national approach, which includes solutions such as improving education, technology-driven innovations, investments for building smart nation infrastructure, top political leadership involvement, national vision and action plan, national regulatory frameworks, business environment and job creation, stakeholder engagement, renewable energy use and technological integration – all of which are key for sustainable development.

Research limitations/implications
This study provides directions for building a smart nation framework, but the literature review results are confined to articles, conference papers and book chapters. This study could be further enriched if the findings are cross-checked with experts. This limitation will be addressed in future research.

Originality/value
Given the dearth of literature on this nascent concept, the insights from this study can guide policymakers and industry leaders involved in smart nation building and benefit researchers engaged in theoretical development.
Isotropic yield surfaces for porous ductile materials: complete geometric representation by a computational homogenisation procedure
Authors: Santos Wanderson Ferreira dos , Ferreira Ayrton Ribeiro , Proença Sergio Persival Baroncini 
Published: April 2023

PurposeThe present paper aims to explore a computational homogenisation procedure to investigate the full geometric representation of yield surfaces for isotropic porous ductile media. The effects of cell morphology and imposed boundary conditions are assessed. The sensitivity of the yield surfaces to the Lode angle is also investigated in detail.Design/methodology/approachThe microscale of the material is modelled by the concept of Representative Volume Element (RVE) or unit cell, which is numerically simulated through three-dimensional finite element analyses. Numerous loading conditions are considered to create complete yield surfaces encompassing high, intermediate and low triaxialities. The influence of cell morphology on the yield surfaces is assessed considering a spherical cell with spherical void and a cubic RVE with spherical void, both under uniform strain boundary condition. The use of spherical cell is interesting as preferential directions in the effective behaviour are avoided. The periodic boundary condition, which favours strain localization, is imposed on the cubic RVE to compare the results. Small strains are assumed and the cell matrix is considered as a perfect elasto-plastic material following the von Mises yield criterion.FindingsDifferent morphologies for the cell imply in different yield conditions for the same load situations. The yield surfaces in correspondence to periodic boundary condition show significant differences compared to those obtained by imposing uniform strain boundary condition. The stress Lode angle has a strong influence on the geometry of the yield surfaces considering low and intermediate triaxialities.Originality/valueThe exhaustive computational study of the effects of cell morphologies and imposed boundary conditions fills a gap in the full representation of the flow surfaces. The homogenisation-based strategy allows us to further investigate the influence of the Lode angle on the yield surfaces.
Knowledge and capabilities: what are their roles in international business of SMEs?
Authors: Nave Edgar , Ferreira João 
Published: April 2023

PurposeEngaging in international business (IB) is a particular challenge to small and medium-sized companies (SMEs), representing a condition to ensure growth and longevity. Due to their limitations of tangible resources, these companies make use of their levels of knowledge and capabilities to reach new markets. This study seeks to ascertain the role, the typologies of the knowledge and capabilities required for access to IB, and how benefits may arise for SMEs from their international experience.Design/methodology/approachTo achieve these objectives, the authors ground the insights on a qualitative study that gathered data from ten semi-structured interviews with leading entrepreneurs engaged in IB. The data were analysed resorting to the QSR Nvivo software.FindingsThe results demonstrate how (1) knowledge and the development of dynamic capabilities all represent determinant facets to engaging in IB and that (2) the knowledge and learning capabilities acquired and developed in IB context also result in positive returns in domestic markets.Originality/valueDespite the rising of IB studies, the interaction between knowledge and capabilities from the perspective of accessing international markets has not received attention enough from scholars. The authors argue that both constructs must act together to reach and maximize the IB of SMEs and provide evidence that engagement abroad brings several other advantages beyond economic returns.
Computational analysis of a new biomimetic active ventilation paradigm for indoor spaces
Authors: Marom Gil , Grossbard Shahar , Bodek Moti , Neuman Eran , Elad David 
Published: April 2023

Purpose
Ventilation of indoor spaces is required for the delivery of fresh air rich in oxygen and the removal of carbon dioxide, pollutants and other hazardous substances. The COVID-19 pandemic brought the topic of ventilating crowded indoors to the front line of health concerns. This study developed a new biologically inspired concept of biomimetic active ventilation (BAV) for interior environments that mimics the mechanism of human lung ventilation, where internal air is continuously refreshed with the external environment. The purpose of this study is to provide a detailed proof-of-concept of the new BAV paradigm using computational models.

Design/methodology/approach
This study developed computational fluid dynamic models of unoccupied rooms with two window openings on one wall and two BAV modules that periodically translate perpendicular to or rotate about the window openings. This study also developed a time-evolving spatial ventilation efficiency metric for exploring the accumulated refreshment of the interior space. The authors conducted two-dimensional (2D) simulations of various BAV configurations to determine the trends in how the working parameters affect the ventilation and to generate initial estimates for the more comprehensive three-dimensional (3D) model.

Findings
Simulations of 2D and 3D models of BAV for modules of different shapes and working parameters demonstrated air movements in most of the room with good air exchange between the indoor and outdoor air. This new BAV concept seems to be very efficient and should be further developed.

Originality/value
The concept of ventilating interior spaces with periodically moving rigid modules with respect to the window openings is a new BAV paradigm that mimics human respiration. The computational results demonstrated that this new paradigm for interior ventilation is efficient while air velocities are within comfortable limits.
The online flow and its influence on awe experience: an AI-enabled e-tail service exploration
Authors: Khare Arpita , Kautish Pradeep , Khare Anshuman 
Published: April 2023

PurposeThe study applied the stimulus–organism–response (S–O–R) framework to investigate the influence of flow elements (e.g. perceived control, concentration and cognitive enjoyment) on artificial intelligence (AI)-enabled e-tail services in evoking awe experience in online fashion apparel context.Design/methodology/approachData of 739 active users of online fashion retail shoppers were collected using Amazon Mechanical Turk (MTurk). Partial least square-structural equation modeling was used for analysis.FindingsThis study suggested the relevance of AI-enabled services in evoking flow and stimulating the customers' awe experience in online fashion shopping.Practical implicationsThe use of AI could help online fashion retailers to improve the experiential elements by using stimuli that evoke feelings of vastness, novelty and mysticism.Originality/valueThe study offers insights about the relevance and applicability of AI in enhancing the flow elements and awe experience on online fashion apparel shopping in an emerging economy.
Financial innovation in the uranium mining sector: analysis of an exchange-traded fund and its impact on trading characteristics of uranium stocks
Authors: Bentley James , Liu Zhangxin (Frank) 
Published: April 2023

PurposeThe purpose of this study is to examine the impact of a recent innovation in the uranium market, the Global X Uranium Exchange-Traded Fund (URA), on the trading characteristics of constituent and non-constituent stocks.Design/methodology/approachThe authors analyse bid-ask spread measures, relative effective spreads and adverse selection costs to assess changes in information asymmetry among uranium stocks. The authors also study abnormal returns to assess the impact of URA on the market.FindingsOver a three-month period, following the introduction of URA, the authors find uranium stocks display decreased bid-ask spread measures, driven by reductions in information asymmetry. Relative effective spreads decrease by 36% after the introduction of URA, and adverse selection costs decline by 24% over the same period. Uranium stocks experience a significant positive abnormal return of 5.0% the day after the introduction of URA with subsequent price reversals. These suggest that the introduction of URA prompted uninformed traders to rebalance portfolios and migrate to the less information-sensitive Exchange-Traded Fund (ETF), causing temporary deviations in trading characteristics.Originality/valueThe authors demonstrate that the introduction of new financial securities to the market can have a significant impact on the trading characteristics of related equities. As URA is the only ETF in the uranium sector, the authors thereby avoid the influence of multiple ETFs that may have impacted previous studies.
Integration of RFID strategic value attributes mechanism decision in apparel supply chain: fuzzy AHP-TOPSIS approach
Authors: Kumar Mukesh 
Published: April 2023

Purpose
The purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc.

Design/methodology/approach
Fuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks.

Findings
The result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs.

Research limitations/implications
The research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder’s involvements.

Practical implications
The pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks.

Originality/value
This study explores the RFID-enabled apparel SC process and activities visibility (natural fibre’s fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).
Lockdowns during the COVID-19 pandemic among small island developing states and Guam
Authors: Kabigting Leila C. , Ruane Maria Claret M. , Sayama Kristina C. 
Published: April 2023

PurposeDuring the COVID-19 pandemic, lockdowns were implemented to achieve two goals: (1) to reduce the number of COVID-19 cases and (2) to reduce the number of COVID-19 deaths. In this paper, the authors aim to look at empirical evidence on how effectively lockdowns achieved these goals among small island developing states (SIDS) and for one specific SIDS economy, Guam.Design/methodology/approachThe authors reviewed existing studies to form two hypotheses: that lockdowns reduced cases, and that lockdowns reduced deaths. Defining a lockdown as a positive value for Oxford COVID-19 government response tracker, OxCGRT's stringency index, the authors tested the above hypotheses on 185 countries, 27 SIDS economies and Guam using correlation and regression analyses, and using different measures of the strictness, duration and timing of the lockdown.FindingsThe authors found no evidence to support the hypothesis that lockdowns reduced the number of cases based on data for all 185 countries and 27 SIDS economies. While the authors found evidence to support the hypothesis in the case of Guam, the result required an unrealistically and implausibly long time lag of 365 days. As to the second hypothesis that lockdowns reduced the number of deaths, the authors found no evidence to support it for 185 countries, 27 SIDS economies as well as Guam.Originality/valueFrom the review of the existing literature, the authors are the first to conduct this type of study among SIDS economies as a group and on Guam.
A solution for creating dynamic networks of symptoms in cognitive-behavioral functional analysis and therapy – participatory design protocol
Authors: Kornacka Monika , Jaskulska Anna , Skorupska Kinga , Szastok Marta , Nadziejko Małgorzata , Kopeć Wiesław 
Published: April 2023

Purpose
One of the recommendations in process-based cognitive therapies suggests that functional analysis created by the clinician should be supported by empirical data collected through daily sampling. It enables the computing of a dynamic network of psychological processes and symptoms supporting clinical decisions but also therapeutic progress monitoring. However, the experience sampling solutions available in the market do not enable the automatic creation of this kind of network; thus, the use of this approach in clinical practice is practically impossible without advanced statistical skills and significant time investment. The purpose of the present paper is to describes a protocol of a research project based on a participatory approach aiming to create a solution enabling therapists not only to set up a personalized daily sampling for their patients and collect the data but also providing a fully automated visualization of the network adapted for therapeutic purposes.

Design/methodology/approach
The project will require creating a platform for therapists where they can set up monitoring and receive dynamic networks visualization, creating an experience sampling application for patients connected to the platform and creating an optimal data visualization system that will enable therapists to accurately and quickly interpret the network. A series of participatory workshops, qualitative and quantitative studies are described.

Findings
The presented studies will enable us to evaluate the ergonomy of use of both platform and app in laboratory and ecological settings along with the evaluation of network interpretation accuracy.

Originality/value
To the best of the authors’ knowledge, this is the first participatory design protocol for creating a solution that might enable clinicians to use a dynamic network approach in their everyday clinical practice. The challenges and opportunities of creating this kind of mHealth solution are discussed.
Research on thermal protection of piezoelectric pressure sensor for shock wave pressure measurement in explosion field
Authors: Shi Yucheng , Kong Deren , Ma Xuejiao 
Published: April 2023

Purpose
The purpose of this study is to clarify the mechanism of ambient and transient temperature effects on piezoelectric pressure sensors, and to propose corresponding compensation measures. The temperature of the explosion field has a significant influence on the piezoelectric sensor used to measure the shock wave pressure. For accurate shock wave pressure measurement, based on the actual piezoelectric pressure sensors used in the explosion field, the effects of ambient and transient temperatures on the sensor should be studied.

Design/methodology/approach
The compensation method of the ambient temperature is discussed according to the sensor size and material. The theoretical analysis method of the transient temperature is proposed. For the transient temperature conduction problem of the sensor, the finite element simulation method of structure-temperature coupling is used to solve the temperature distribution of the sensor and the change in the contact force on the quartz crystal surface under the step and triangle temperatures. The simulation results are highly consistent with the theory.

Findings
Based on the analysis results, a transient temperature control method is proposed, in which 0.5 mm thick lubricating silicone grease is applied to the sensor diaphragm, and 0.2 mm thick fiberglass cloth is wrapped around the sensor side. Simulation experiments are carried out to verify the feasibility of the control method, and the results show that the control method effectively suppresses the output of the thermal parasitic.

Originality/value
The above thermal protection methods can effectively improve the measurement accuracy of shock wave pressure and provide technical support for the evaluation of the power of explosion damage.