bluuebunny/crossref_metadata_2025_split huggingface dataset:
Russian global export flow and potential: evidence from augmented gravity model
Authors: Abbas Shujaat , Shtun Valentin , Sapogova Veronika , Gleb Vakhrushev 
Published: May 2023

PurposeThe Russian export flow is highly concentrated on few trading partners that results in its high vulnerability to external shock. Furthermore, the Russian–Ukraine conflict and corresponding western sanctions has enhanced the need of export markets diversification for Russia. Therefore, this study is a baseline attempt to explore determinants of export flow along with identifying potential export markets. This objective is realized by employing an augmented version of gravity model on export flow of Russian Federation to 108 trading partners from 2000 to 2020.Design/methodology/approachThe augmented gravity model of export flow is estimated by using employing contemporary panel econometrics such as panel generalized ordinary least square estimation technique with cross-sectional weight along with heteroskedasticity consistent white coefficients is employed to explore impact of selected macroeconomic and policy variables. Furthermore, the sensitivity analysis is performed by using panel random effect along with the Driscoll–Kraay standard errors with pooled ordinary least squares (OLS) regression and random effect generalized least square (GLS) estimator techniques. The estimated result of panel GLS technique is subjected to in-sampled forecasting technique to explore potential export markets.FindingsThe findings show that an increase in the income of trading partners and enhancement of domestic production capacity has significant positive impact on Russian export flow, whereas geographic distance has a significant negative impact. Income of trading partners emerged as major determinant of export flow with high explanatory power. Among augmented variables, the real exchange rate reveals a significant positive impact of lower intensity, whereas binary variables for the common border, common history and preferential/free trade agreement show a significant positive impact. The finding of export potential reveals a high concentration of export with existence of large potential for exports across the globe. For instance, many developing countries in Asia, Africa and America reveal high potential for Russian exports.Practical implicationsThe findings urge Russian Federation to diversify its export markets by targeting potential export markets. Many emerging developing countries are witnessing a high potential for Russian exports, therefore attempts should be taken to diversify toward them. The expansion of existing transportation facilities along with development of cargo trade can be important policy instrument to realize objective of export diversification.Originality/valueThis study is the first comprehensive analysis that employs augmented gravity model to explore potential export markets for Russian Federation by using panel data of 108 global trading partners from 2000 to 2020. This finding of this study provides a framework of export diversification toward potential markets across the globe.
Rethinking paid domestic services in modern societies – Experimental evidence on the effect of quality and professionalisation on service demand
Authors: Nisic Natascha , Molitor Friederike , Trübner Miriam 
Published: May 2023

PurposeAlthough essential to social welfare, unpaid domestic and care work is an increasingly scarce resource in modern societies. Despite the growing need, many households refrain from outsourcing their domestic chores to the market. Simultaneously, the household service sector is mostly characterised by low-qualification, informal jobs lacking quality and professional standards. Drawing on transaction cost theory, the present study aims to examine how trust problems deriving from the quality and professionalisation of domestic services can be overcome by also exploring the role of state subsidies in this context.Design/methodology/approachA factorial survey experiment in Germany (N = 4024) causally explores the effect of state-subsidised service vouchers, quality signals and professionalisation on preferences and willingness-to-pay for domestic services. The data were analysed using multilevel modelling techniques.FindingsHypotheses are mostly confirmed: strong quality signals help overcome trust problems, thus facilitating the demand for household services. Further, service vouchers can generate better pay for domestic workers while simultaneously reducing the costs for households.Research limitations/implicationsThe relevance of professionalisation and quality of service as important determinants of domestic service demand is revealed. However, the experimental survey design involves hypothetical scenarios.Originality/valueThe analysis offers insights into how to stimulate demand for household services and increase formal employment in a sector currently largely characterised by informal arrangements. It further shows how social policies can help secure quality and foster professionalisation by shifting paid domestic work from the informal to the formal economy.
Understanding the key factors of operating environment for small and medium contractors in the developing economies: the case of Ethiopia
Authors: Aboneh Abraham , Mahesh Gangadhar 
Published: May 2023

Purpose
Small and medium contractors (SMCs) play a significant role in socioeconomic development. Their strong links with other sectors of the economy have a multiplier effect on any country’s growth. However, the construction business, especially for SMCs, is not an easy business as several roadblocks affect their sustenance. This study aims to examine the factors affecting the sustainable competency of SMCs emerging from the business environment in which the Ethiopian construction industry (CI) operates.

Design/methodology/approach
A literature review was conducted to identify 39 factors arising from five core sources (i.e. government policies, regulatory frameworks, industry networks, competitive bidding culture and construction technology and innovation). A questionnaire survey was conducted to gather industry stakeholders’ perceptions of the identified factors, and the results were analyzed using descriptive statistics.

Findings
Findings indicate 37 significant factors affecting sustainable competency arising from five sources, and the top factors from their respective sources were unfavorable financial policy; unfavorable economic regulatory framework; lack of trust between parties in the industry; inability of SMCs to compete with bigger construction companies; and poor linkages between CI and research and development institutions. Furthermore, factor analysis identified 12 components, and the top ones were competition and uncertainties in the supply chain; unsuitable bidding environment; and ineffective industry networks.

Originality/value
The findings will contribute to the body of knowledge on the factors affecting the sustainable competency of SMCs in the Ethiopian CI. They also indicate priority areas of competitiveness improvement and have implications for decision-makers.
Does religion impact corporate innovation in developing countries?
Authors: Usman Muhammad , Li Chuntao , Chaudhry Naukhaiz , Akhter Waheed 
Published: May 2023

Purpose
This study aims to examine how religion affects corporate innovation in developing countries.

Design/methodology/approach
Firm- and country-level indicators are used to evaluate the relationship. The study's final sample consists of manufacturing firms from 41 developing countries across different world regions from 2014 to 2018.

Findings
This paper finds that firms operating in more religiously diverse countries with lower religious restrictions are likely to be more innovative. Furthermore, secularization stimulates corporate innovation in contrast to traditional religious societies. Interestingly, results also indicate that religion hinders corporate innovation by restraining its followers’ involvement in innovative activities under risk, which downgrades corporate innovation culture.

Research limitations/implications
This study used data from nonfinancial firms from developing countries; therefore, the study's findings could be generalized to other developing economies with caution, as economies operating at different stages of development can have different outcomes from the proposed relationship. The study findings are important for innovative firms, as they can take advantage by segmenting the population based on religious and atheist groups. Results also have some implications for developing countries to foster firm-level innovation through constructing effective policies and ensuring the development of diverse and free religious societies because such societal traits increase corporate innovation and are fruitful for national competitiveness and growth.

Originality/value
This study contributes to institutional economics and corporate innovation by exploring the link between religion and economic development through the innovation channel and analyzing the latest cross-country evidence. It is a pioneering work in empirical comparison of influence on innovations of different religions.
Measuring agricultural loss and the impact of differing dwelling types: a case study in Melbourne
Authors: El Wazan Jean-Pierre , Edirisinghe Ruwini 
Published: May 2023

PurposeAgricultural land loss is a severe issue that Australia faces, along with many other countries. Myriad research studies have discussed the reasons for such land loss, including urban sprawl as the main factor and factor's repercussions. However, there is a knowledge gap in understanding the impact of dwelling type on farming land reduction. Also, there is an application gap, particularly in the local context. The purpose of this study is to discover the effect of differing dwelling types (compact and non-compact) in metropolitan areas with a growing population (such as Craigieburn) toward potentially noticeable agricultural land loss.Design/methodology/approachThis paper aims to fill these research and practice gaps through a case study using a mixed methods approach. A quantitative analysis was conducted of housing types, the types' growth and agricultural land area taken up by those different housing types over 18 years. Thematic analysis of policies, strategies, schemes and codes relevant to the case study enabled a better understanding of practice gaps.FindingsThe study revealed a significant loss of agricultural land. Separate housing was found to be the main culprit due to the number of houses and the area the houses require, thus exhibiting the lack of practical guidelines to prevent the houses' overdevelopment. The findings enabled the identification of opportunities for better practice through government intervention and potential industry alterations.Originality/valuePrevious literature has primarily explored the issues associated with urban sprawl and the sprawl's unsustainability. This research paper offers a more targeted insight into one of the key factors leading to urban sprawl: the types of dwellings being constructed.
Modelling and optimization of laser welding of Al2024 aluminium alloy
Authors: Dey Upama , Duggirala Aparna , Mitra Souren 
Published: May 2023

Purpose
Aluminium alloys can be used as lightweight and high-strength materials in combination with the technology of laser beam welding, an efficient joining method, in the manufacturing of automotive parts. The purposes of this paper are to conduct laser welding experiments with Al2024 in the lap joint configuration, model the laser welding process parameters of Al2024 alloys and use propounded models to optimize the process parameters.

Design/methodology/approach
Laser welding of Al2024 alloy has been conducted in the lap joint configuration. Then, the influences of explanatory variables (laser peak power, scanning speed and frequency) on outcome variables (weld width [WW], throat length [TL] and breaking load [BL]) have been investigated with Poisson regression analysis of the data set derived from experimentation. Thereafter, a multi-objective genetic algorithm (MOGA) has been used using MATLAB to find the optimum solutions. The effects of various input process parameters on the responses have also been analysed using response surface plots.

Findings
The promulgated statistical models, derived with Poisson regression analysis, are evinced to be well-fit ones using the analysis of deviance approach. Pareto fronts have been used to demonstrate the optimization results, and the maximized load-bearing capacity is computed to be 1,263 N, whereas the compromised WW and TL are 714 µm and 760 µm, respectively.

Originality/value
This work of conducting laser welding of lap joint of Al2024 alloy incorporating the Taguchi method and optimizing the input process parameters with the promulgated statistical models proffers a neoteric perspective that can be useful to the manufacturing industry.
Reshoring: A Road to Industry 4.0 Transformation
Authors: Gupta Suraksha , Wang Yichuan , Czinkota Michael 
Published: May 2023

AbstractThe phenomenon of reshoring and its impact on global trade has recently garnered the attention of not only practitioners but also policymakers and scholars. Numerous scholars have highlighted the challenges of reshoring, such as supply chain disruption, labour shortages and sustainability issues, from various perspectives. Some have pinpointed technological advancements as enablers for addressing these challenges through the deployment of cloud‐based artificial intelligence technologies and efficient remote management as part of the Industry 4.0 transformation. As Industry 4.0 shifts from being technology‐driven to value‐driven, this introductory essay for the special issue on reshoring delves into the current boundaries of our understanding and proposes recommendations for future research on this topic.
Risk factors for a serious adverse outcome in neonates: a retrospective cohort study of vaginal births
Authors: Jindal Sita , Steer Philip J. , Savvidou Makrina , Draycott Tim , Dixon‐Woods Mary , Wood Angela , Kim Lois G. 
Published: May 2023

AbstractObjectiveTo investigate the hypothesis that risk factors in addition to an abnormal fetal heart rate pattern (aFHRp) are independently associated with adverse neonatal outcomes of labour.DesignObservational prospective cohort study.Setting17 UK maternity units.Sample585 291 pregnancies between 1988 and 2000 inclusive.MethodsAdjusted odds ratios (OR) with 95% confidence intervals (95% CI) were estimated from multivariable logistic regression.Main outcome measuresAdverse neonatal outcome at term (5‐minute Apgar score <7, and a composite measure comprising 5‐minute Apgar score <7, resuscitation by intubation and/or perinatal death).ResultsAnalysis was based on 302 137 vaginal births at 37–42 weeks inclusive. We found a higher odds of Apgar score at 5 minutes <7 with suspected fetal growth restriction (OR 1.34, 95% CI 1.16–1.53), induction of labour (OR 1.41, 95% CI 1.25–1.58), nulliparity (OR 1.48, 95% CI 1.34–1.63), booking body mass index ≥30 (OR 1.18, 95% CI 1.02–1.37), maternal age <25 (OR 1.23, 95% CI 1.10–1.39), black ethnicity (OR 1.21, 95% CI 1.03–1.43), early‐term birth at 37–38 weeks (OR 1.13, 95% CI 1.02–1.25), late‐term birth at 41–42 weeks (OR 1.14, 95% CI 1.01–1.28), use of oxytocin (OR 1.27, 95% CI 1.14–1.41), maternal pyrexia (OR 1.87, 95% CI 1.46–2.40), aFHRp and presence of meconium (aFHRp without meconium: OR 2.40, 95% CI 2.15–2.69; meconium without aFHRp: OR 2.20, 195% CI.94–2.49; both aFHRp and meconium: OR 4.26, 95% CI 3.74–4.87). The results were similar when the composite adverse outcome was considered.ConclusionsA range of risk factors, including suspicion of fetal growth restriction, maternal pyrexia and presence of meconium, are implicated in poor birth outcomes in addition to aFHRp. Interpretation of the fetal heart rate pattern alone is insufficient as a basis for decisions about escalation and intervention.
RNA interference in insects: the link between antiviral defense and pest control
Authors: Niu Jinzhi , Chen Ruoyu , Wang Jin‐Jun 
Published: May 2023

AbstractRNA interference (RNAi) is a form of gene silencing triggered by double‐stranded RNA (dsRNA) that operates in all eukaryotic cells. RNAi has been widely investigated in insects to determine the underlying molecular mechanism, to investigate its role in systemic antiviral defense, and to develop strategies for pest control. When insect cells are infected by viruses, viral dsRNA signatures trigger a local RNAi response to block viral replication and generate virus‐derived DNA that confers systemic immunity. RNAi‐based insect pest control involves the application of exogenous dsRNA targeting genes essential for insect development or survival, but the efficacy of this approach has limited potency in many pests through a combination of rapid dsRNA degradation, inefficient dsRNA uptake/processing, and ineffective RNAi machinery. This could be addressed by dsRNA screening and evaluation, focusing on dsRNA design and off‐target management, as well as dsRNA production and delivery. This review summarizes recent progress to determine the role of RNAi in antiviral defense and as a pest control strategy in insects, addressing gaps between our fundamental understanding of the RNAi mechanism and the exploitation of RNAi‐based pest control strategies.
Physical and sensory properties of soy‐based ice cream formulated with cold‐pressed high oleic low linolenic soybean oil
Authors: Wang Yun , Evangelista Roque , Scaboo Andrew , Gruen Ingolf , Bancroft Memphis , Vardhanabhuti Bongkosh 
Published: May 2023

AbstractThe effect of cold‐pressed SOYLEIC™ soybean oil (SOYLEIC) on the physical and sensory properties of soy‐based ice cream was compared to commercial vegetable oil (COM‐VO), commercial high oleic soybean oil (COM‐HO), and heavy cream (CREAM). Fat sources had no significant effect on viscosity and fat globule size distribution of ice cream mixes. Ice cream made with COM‐VO had the lowest overrun (p < 0.05) and higher degree of fat destabilization; however, no difference in hardness was found. Despite similar melting rate, the shape retention behavior during melting was different for SOYLEIC, COM‐VO, and COM‐HO compared to CREAM. No significant differences were found in texture attributes except mouth coating, which was higher for CREAM than COM‐HO and SOYLEIC (p < 0.05). There was no significant difference in flavor attributes between SOYLEIC and CREAM, while COM‐VO and COM‐HO had higher off‐flavor intensities (p < 0.05). Consumer acceptability results revealed that SOYLEIC and CREAM had significantly higher flavor liking and overall liking scores than COM‐VO and COM‐HO (p < 0.05). SOYLEIC and CREAM also had higher texture liking than COM‐VO (p < 0.05). Overall, liking had the highest positive significant correlation with flavor liking (r = 0.996).Practical ApplicationCold‐pressed HOLL soybean oil has the potential to be used in formulating plant‐based frozen desserts with equivalent texture but more acceptable flavor.
Paraneoplastic pemphigus misdiagnosed as juvenile dermatomyositis: A case report
Authors: Gao Feng‐Qiao , Zhang Jun‐Mei , Li Cai‐Feng 
Published: May 2023

AbstractParaneoplastic pemphigus (PNP) is a rare autoimmune skin disease closely related to tumors, characterized by a maculopapular rash with mucosal pain, bronchiole occlusion, and respiratory failure may occur over time, even resulting in death. We report a rare case of a child with autoimmune PNP misdiagnosed as juvenile dermatomyositis (JDM), and summarize the key points of differentiation of clinical manifestations and auxiliary examinations of PNP and JDM. When the diagnosis is not clear because the patient has features not typical of JDM, then skin biopsy and other diagnostic studies should be considered prior to any immunosuppressive therapy, as this could potentially obscure and delay the diagnosis of malignancy.
Age‐mediated gut microbiota dysbiosis promotes the loss of dendritic cells tolerance
Authors: Bashir Hilal , Singh Sanpreet , Singh Raghwendra Pratap , Agrewala Javed N. , Kumar Rashmi 
Published: May 2023

AbstractThe old age‐related loss of immune tolerance inflicts a person with a wide range of autoimmune and inflammatory diseases. Dendritic cells (DCs) are the sentinels of the immune system that maintain immune tolerance through cytokines and regulatory T‐cells generation. Aging disturbs the microbial composition of the gut, causing immune system dysregulation. However, the vis‐à‐vis role of gut dysbiosis on DCs tolerance remains highly elusive. Consequently, we studied the influence of aging on gut dysbiosis and its impact on the loss of DC tolerance. We show that DCs generated from either the aged (DCOld) or gut‐dysbiotic young (DCDysbiotic) but not young (DCYoung) mice exhibited loss of tolerance, as evidenced by their failure to optimally induce the generation of Tregs and control the overactivation of CD4+ T cells. The mechanism deciphered for the loss of DCOld and DCDysbiotic tolerance was chiefly through the overactivation of NF‐κB, impaired frequency of Tregs, upregulation in the level of pro‐inflammatory molecules (IL‐6, IL‐1β, TNF‐α, IL‐12, IFN‐γ), and decline in the anti‐inflammatory moieties (IL‐10, TGF‐β, IL‐4, IDO, arginase, NO, IRF‐4, IRF‐8, PDL1, BTLA4, ALDH2). Importantly, a significant decline in the frequency of the Lactobacillus genus was noticed in the gut. Replenishing the gut of old mice with the Lactobacillus plantarum reinvigorated the tolerogenic function of DCs through the rewiring of inflammatory and metabolic pathways. Thus, for the first time, we demonstrate the impact of age‐related gut dysbiosis on the loss of DC tolerance. This finding may open avenues for therapeutic intervention for treating age‐associated disorders with the Lactobacillus plantarum.
Neural oscillations in the ventral striatum reveal differences between the encoding of palatable food and ethanol consumption
Authors: Dwiel Lucas L. , Henricks Angela M. , Bragg Elise , Gui Jiang , Doucette Wilder T. 
Published: May 2023

AbstractBackgroundAcross multiple levels of investigation, there appear to be convergent neuronal processes underlying substance use and other motivated behaviors (i.e., the pursuit and consumption of rewarding substances). The consumption of alcohol and sweet, high‐fat food engages many of the same brain regions, especially, the ventral striatum. In the current study, we hypothesized that ventral striatal local field potentials (LFPs) recorded during self‐administration sessions could be used to detect when the consumption of 10% ethanol or sweet‐fat food (SF) was occurring compared to all other behaviors, including naturalistic controls (i.e., water or house‐chow).MethodsWe used an intermittent limited access approach to condition Sprague–Dawley rats to consume either ethanol or SF while we recorded LFPs. We used machine learning and simple logistic regressions to determine whether LFP features could classify when consumption of each substance was occurring, and whether a general model could predict consumption of both substances. We report performance as the average area under the receiver operator characteristic curve (AUROC).ResultsConsumption of a single substance was differentiable from all other behaviors, as evidenced by the AUROC (ethanol = 0.84 and SF = 0.83, p < 0.01). Models built from the combined dataset (general) did modestly overall (general → general = 0.68, p < 0.05), and did not detect the consumption of the two substances similarly (general → SF = 0.5 and general → ethanol = 0.63, p > 0.05).ConclusionsModels successfully classified ethanol and SF consumption versus all other behavior/naturalistic controls. However, the findings highlight differences in how the ventral striatum represents the consumption of ethanol and SF and show that, although there is potential for finding biomarkers related to substance use, it may be difficult to build a model that performs well detecting multiple substances.