bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of heterogeneity of service trade policy restrictions on manufacturing exports of China: focus on free trade agreements
Authors: Gao Ming , Zhuo Fanchao 
Published: July 2023

PurposeBased on the research of free trade agreements on alleviating service trade policy heterogeneity and its impact on manufacturing exports, this article aims to not only provide a basis for China's strategy of promoting regional economic integration, but also provide a policy reference for the manufacturing industry to expand the export market space.Design/methodology/approachThis study uses the two principles of “answering” and “scoring” to quantify the indicators of service trade policy heterogeneity to test the relationship between heterogeneity of service trade policy, free trade agreement and manufacturing export.FindingsAccording to empirical study, the export of Chinese manufacturing firms is severely hampered by the variety of service trade regulations, and the bigger the enterprise, the more hampered it is. In comparison to communications, transport and commerce, the financial industry's policy heterogeneity has a greater negative impact on certain industries. The major methods used to reduce the impact of service trade policy heterogeneity on manufacturing exports are product price increases and product quantity reductions. Also, by reducing the heterogeneity of service trade regulations and fostering industrial exports, the free trade agreement that China has signed can be quite successful. The open commitment in the area of national treatment, however, can reduce policy heterogeneity and advance manufacturing.Originality/valueIn the area of market access, the effect of export is superior to the open promise. Thus, in order to effectively support the stabilization of international trade, China should actively encourage the negotiation and signing of higher-quality and mutually beneficial free trade agreements.
Drivers of tax avoidance by MNEs in the developing countries under the digital economy: a modified-TISM approach
Authors: Pandey Kavita , Yadav Surendra S. , Sharma Seema 
Published: July 2023

PurposeThe present research identifies a total of nine factors influencing tax avoidance under the international taxation regime of the developing countries and establishes a hierarchical relationship through modeling of the identified factors using modified-total interpretive structural modeling (M-TISM).Design/methodology/approachDue to “scale without mass” properties of the digital economy, businesses reduce their physical presence in the countries of economic activities. Aided with digital features, multinational enterprises (MNEs) avoid, abolish, or adopt flexible tax burden in the developing nations through by-passing the permanent establishment condition for company taxes or the income characterization prerequisite for royalty taxation. The present research endeavors to identify the drivers of tax avoidance in the developing countries, especially exacerbated due to digital technologies (economy). In addition, the authors also examine the hierarchical relation between the extracted drivers of tax avoidance.FindingsThis research presents a considerable driving force of elements like historical foundation of tax-treaties, dominance of the developed countries, influence of trade bodies in policy matters and finally information and communications technologies (ICTs).Originality/valueIdentified elements drive the actors like professional enablers, tax havens, international organizations, and intangible assets in the form of intellectual properties (IPs) which act upon tax arbitrage situations both under the domestic and treaty regulations, finally culminating into profit shifting, tax manipulations or avoidance.
Promoting sustainable and human-centric industry 5.0: a thematic analysis of emerging research topics and opportunities
Authors: Rajumesh Sivarajah 
Published: July 2023

PurposeThe study aims to explore the overall growth trend, top publishing countries, co-authorship and author keywords in the field of Industry 5.0.Design/methodology/approachThis study presents the outcomes of a bibliometric analysis conducted using VOSviewer software. The analysis retrieved data from the Scopus database, including citations, co-authors, keywords, bibliometric coupling and co-occurrence.FindingsThe findings reveal a significant increase in publications and citations related to Industry 5.0 in recent years. China, the USA and India emerge as the leading countries driving research in this field. The co-authorship analysis indicates limited collaboration among authors, with only 48 out of 354 authors being linked through co-authorship. Through co-occurrence analysis, the investigation identifies the most frequently occurring keywords in the research, with “Industry 5.0” and “Industry 4.0” being the most frequently co-occurring keywords. The bibliographic coupling analysis identifies six clusters of research themes.Research limitations/implicationsThe study solely relies on data gathered from the Scopus database for analysis on a specific date. Therefore, data from other databases collected at different times may yield different observations and findings.Practical implicationsThis study enhances the knowledge of professionals and academia in Industry 5.0, enabling the professionals to efficiently and sustainably manage the sector.Originality/valueThe bibliometric analysis presented in this study provides valuable insights into the contributions made by authors, keywords and co-authors to the field of Industry 5.0. Additionally, the thematic analysis summarized in this study is a novel contribution to the field.
Optimization of specific energy consumption in CNC turning of a hardened alloy steel roll at low cutting speeds
Authors: Noor Kashif , Siddiqui Mubashir Ali , Syed Amir Iqbal 
Published: July 2023

Purpose
This study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.

Design/methodology/approach
The design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.

Findings
According to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm3, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.

Originality/value
In the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.
The discovery of absorptive capacity and the practice of intellectual capital mobilization within change management processes
Authors: Rooney Jim , Kaushalya Thilini , Jayawardana Ananda K. L. 
Published: July 2023

PurposePrevious studies have argued that improvement in organizational performance though change management processes is grounded in external knowledge acquisition and assimilation. However, there is ambiguity in how existing knowledge, in the form of intellectual capital (IC), is mobilized in this context. In response, this paper develops a context-based mediator model depicting the relationship between IC processes, absorptive capacity (AC) and organizational performance following the introduction of external knowledge.Design/methodology/approachA qualitative longitudinal case study approach is adopted, collecting data over three phases of a quality improvement program over a three-year period.FindingsWith the development of relational capital facilitated thorough changes in the work environment and the structured enhancement of knowledge-processing capabilities, the study identified the mediating role of AC on the relationship between IC mobilization and improved organizational performance.Originality/valueWhilst there have been studies of relationships between IC and organization performance, to the best of the “authors” knowledge, this is one the few empirical studies to explore associations between IC types, existing knowledge sharing processes and IC mobilization, mediated by the AC of a firm, to exploit external knowledge.
Does sharia-compliant debt financing reduce stock price crash risk?
Authors: Brahmana Rayenda Khresna , Kontesa Maria 
Published: July 2023

PurposeThis paper examines the impact of sharia-compliant debt financing on stock price crash risk. Unlike those previous studies that took Sukuk or sharia-compliant firms, this study tests the impact of the proportion reported sharia-compliant debt financing in the balance sheet on the risk of price crash of a firm.Design/methodology/approachUsing the data from 2,752 firm-year observations of 344 Malaysian non-financial listed companies from 2012 to 2019, this article used a robust panel data estimation technique for statistical inferences. This study also employs panel GMM and quantile least squares as the robustness check.FindingsThis study established a negative relationship between sharia-compliant debt financing and stock price crash risk. The robustness checks with different estimation techniques confirm the results. It implies that firms with a more significant proportion of Sharia-compliant financing tend to have lower future stock price crash risk.Practical implicationsConsistent with the Islamic finance literature, the present study contributes to the existing literature on Islamic capital markets from the perspective of stock price crash risk because it is vital for risk management and investment decision-making as a measure of tail risk for stocks. The findings of this research will assist investors in developing portfolio strategies that incorporate firms with higher levels of sharia-compliant debt financing in their balance sheets. Additionally, the results of this study suggest that policymakers and regulatory bodies should consider revising their monitoring approaches for publicly listed firms.Originality/valueThis study is interesting and unique, as it is a pioneer in testing the impact of sharia-compliant debt financing on reducing stock price crash risk.
Differences in use of high‐ and low‐value health care between immigrant and US‐born adults
Authors: Park Sungchul , Vargas Bustamante Arturo , Chen Jie , Ortega Alexander N. 
Published: July 2023

AbstractObjectiveTo examine differences in the use of high‐ and low‐value health care between immigrant and US‐born adults.Data SourceThe 2007–2019 Medical Expenditure Panel Survey.Study DesignWe split the sample into younger (ages 18–64 years) and older adults (ages 65 years and over). Our outcome measures included the use of high‐value care (eight services) and low‐value care (seven services). Our key independent variable was immigration status. For each outcome, we ran regressions with and without individual‐level characteristics.Data Collection/Extraction MethodsN/A.Principal FindingsBefore accounting for individual‐level characteristics, the use of high‐ and low‐value care was lower among immigrant adults than US‐born adults. After accounting for individual‐level characteristics, this difference decreased in both groups of younger and older adults. For high‐value care, significant differences were observed in five services and the direction of the differences was mixed. The use of breast cancer screening was lower among immigrant than US‐born younger and older adults (−5.7 [95% CI: −7.4 to −3.9] and −2.9 percentage points [95% CI: −5.6 to −0.2]) while the use of colorectal cancer screening was higher among immigrant than US‐born younger and older adults (2.6 [95% CI: 0.5 to 4.8] and 3.6 [95% CI: 0.2 to 7.0] percentage points). For low‐value care, we did not identify significant differences except for antibiotics for acute upper respiratory infection among younger adults and opioids for back pain among older adults (−3.5 [95% CI: −5.5 to −1.5] and −3.8[95% CI: −7.3 to −0.2] percentage points). Particularly, differences in socioeconomic status, health insurance, and care access between immigrant and US‐born adults played a key role in accounting for differences in the use of high‐ and low‐value health care. The use of high‐value care among immigrant and US‐born adults increased over time, but the use of low‐value care did not decrease.ConclusionDifferential use of high‐ and low‐value care between immigrant and US‐born adults may be partly attributable to differences in individual‐level characteristics, especially socioeconomic status, health insurance, and access to care.
Seed biopriming for sustainable agriculture and ecosystem restoration
Authors: Singh Prachi , Vaishnav Anukool , Liu Hongwei , Xiong Chao , Singh Harikesh Bahadur , Singh Brajesh K. 
Published: July 2023

AbstractThe utilization of microbial inoculants in the realm of sustainable agricultural and ecosystem restoration has witnessed a surge in recent decades. This rise is largely attributed to advancements in our understanding of plant–microbe interactions, the urgency to reduce the dependence on agrochemicals and the growing societal demand for sustainable strategies in ecosystem management. However, despite the rapid growth of bio‐inoculants sector, certain limitations persist concerning their efficacy and performance under the field condition. Here, we propose that seed biopriming, an effective microbial inoculant technique integrating both biological agents (the priming of beneficial microbes on seeds) and physiological aspects (hydration of seeds for improved metabolically activity), has a significant potential to mitigate these limitations. This method increases the protection of seeds against soil‐borne pathogens and soil pollutants, such as salts and heavy metals, while promoting germination rate and uniformity, leading to overall improved primary productivity and soil health. Furthermore, we argue that a microbial coating on seeds can facilitate transgenerational associations of beneficial microbes, refine plant and soil microbiomes, and maintain soil legacies of beneficial microflora. This review article aims to improve our understanding of the seed biopriming approach as a potent and valuable tool in achieving sustainable agriculture and successful ecosystem restoration.
Going beyond richness: Modelling the BEF relationship using species identity, evenness, richness and species interactions via the DImodels R package
Authors: Moral Rafael A. , Vishwakarma Rishabh , Connolly John , Byrne Laura , Hurley Catherine , Finn John A. , Brophy Caroline 
Published: July 2023

Abstract

Biodiversity and ecosystem function (BEF) studies aim to understand how ecosystems respond to a gradient of species diversity. Generalised Diversity‐Interactions (DI) models are suitable for analysing the BEF relationship. These models relate an ecosystem function response of a community to the identity of the species in the community, their evenness (proportions) and interactions. The number of species in the community (richness) is included implicitly in a DI model.

It is common in BEF studies to model an ecosystem function as a function of richness; while this can uncover trends in the BEF relationship, by definition, species diversity is broader than richness alone, and important patterns in the BEF relationship may remain hidden. Here, we introduce the DImodels R package for implementing DI models. We show how richness is mathematically equivalent to a simplified DI model under certain conditions, and illustrate how using the DI multidimensional definition of species diversity can provide deeper insight to the BEF relationship compared to traditional approaches.

Using DI models can lead to considerably improved model fit over other methods; it does this by incorporating variation due to the multiple facets of species diversity. Predicting from a DI model is not limited to the study design points, the model can interpolate or extrapolate to predict for any species composition and proportions (assuming there is sufficient coverage of this space in the study design).

Expressing the BEF relationship as a function of richness alone can be useful to capture overall trends. However, collapsing the multiple dimensions of species diversity to a single dimension (such as richness) can result in valuable ecological information being lost. DI modelling provides a framework to test the multiple components of species diversity in the BEF relationship. It facilitates uncovering a deeper ecological understanding of the BEF relationship and can lead to enhanced inference. The open‐source DImodels R package provides a user‐friendly way to implement this modelling approach.
Why should we compare morphological and molecular disparity?
Authors: van den Ende Conrad , Puttick Mark N. , Urrutia Araxi O. , Wills Matthew A. 
Published: July 2023

Abstract

Indices of morphological disparity seek to summarise the highly multivariate morphological variation across groups of species within clades, time bins or other groups. Morphological variation can be quantified using geometric morphometric, outline or surface‐based methods. These are most effective when morphological differences are relatively modest and there are numerous ubiquitous landmarks and phase aligned features of shape variation. The most disparate samples, such as those across classes and phyla, typically necessitate the use of discrete characters. Unfortunately, such characters are often compiled subjectively in a manner reflecting the level of morphological and taxonomic focus and the intensity of taxon sampling.

Sampling intensity is often highly variable within a single data set, especially in repurposed and amalgamated cladistic matrices. Here, we propose indices of molecular disparity analogous to those of morphological disparity. Despite numerous shortcomings discussed here, molecular sequence data can be obtained in a more objective, automated and scalable manner than morphological data.

Comparisons of the morphological and molecular disparity of subclades in 16 large data sets suggest that molecular disparity is less susceptible to sampling biases than morphological disparity. Moreover, distance matrices inferred from individual genes tend to correlate strongly with each other and with distances from all concatenated genes. By contrast, morphological and molecular disparity are typically not significantly correlated across subclades, such that comparisons for groups can help to give a fuller picture of their evolution. For example, within mammals, Afrotheria have conspicuously high morphological disparity but modest molecular disparity, suggesting unusually high morphological plasticity. Even more strikingly, the molecular disparity of rodents is over five times that for Artiodactyla, despite having only half of their morphological disparity. These contrasts suggest the differential operation of geometric, biomechanical, ontogenetic and environmental constraints on form.

Given the increasing abundance of total evidence datasets in the literature and the widespread and sometimes uncritical repurposing of discrete morphological matrices, we propose the comparison of morphological and molecular disparity as a useful tool to understand subclade evolution more fully.
Irrigation with reduced sodium hypochlorite solution concentration using laser‐induced cavitation is effective and safe in rat intraradicular biofilm model
Authors: Uematsu Takehiro , Yahata Yoshio , Ohnishi Koyuki , Suzuki Shigeto , Kanehira Masafumi , Tanaka Toshinori , Sudo Susumu , Suresh Venkata Venkataiah , Saito Masahiro 
Published: July 2023

AbstractThis study aimed to investigate the optimal sodium hypochlorite solution (NaOCl) concentration to effectively remove the root canal biofilm without stimulating periradicular inflammation using coronal laser‐activated irrigation (CLAI). To compare the efficacy of different NaOCl concentrations combined with CLAI in removing the biofilm, an in vivo intraradicular biofilm rat model was used. Root canals were irrigated using an Er:YAG laser with either 5% or 0.5% NaOCl. Biofilm removal efficacy of CLAI was compared to that of conventional needle irrigation using scanning electron microscopy (SEM) and quantitative polymerase chain reaction (qPCR). Histological observation of CLAI‐associated periradicular inflammation was also conducted. In both the 5% and 0.5% CLAI groups, SEM observation showed the opening of the dentin tubules and biofilm removal. qPCR analysis indicated that the residual bacteria counts after cleaning were significantly lower in the 5% and 0.5% CLAI groups than in the conventional needle irrigation and positive control groups (Tukey test, p < 0.05), and no significant difference was observed between the 5% and 0.5% CLAI groups (p > 0.05). Periapical inflammation in the 5% CLAI group revealed the most severe, including significant neutrophilic and lymphocytic infiltration with abscess formation, while only mild vasodilation was observed in the 0.5% CLAI group. CLAI can remove the biofilm independently of chemical action, which avoids the risks associated with high NaOCl concentrations. Therefore, this root canal irrigation technique ensures safety and effectiveness, promising to contribute to new treatment strategies intended to remove intraradicular biofilm.
Keeping or Building Peace? UN Peace Operations beyond the Security Dilemma
Authors: Campbell Susanna P. , Di Salvatore Jessica 
Published: July 2023

AbstractOne of the most consistent findings on UN peace operations (UNPOs) is that they contribute to peace. Existing scholarship argues this is because UNPOs' peacekeeping troops solve the security dilemma that inhibits combatant disarmament and prevents their political leaders from sharing power. We argue that existing scholarship's focus on peacekeeping troops overlooks UNPOs’ role in enabling governments to implement redistributive power‐sharing reforms contained in peace agreements, along with their broader peace processes. While peacekeeping troops can help belligerents refrain from violence, military force alone cannot explain how political elites implement redistributive reforms that threaten their status. We argue that UNPOs that have predominant peacebuilding (as opposed to peacekeeping) mandates help sustain political elites’ commitment to implementing peace agreement reforms and, thus, contribute to inclusive peace (increased political inclusion and reduced violence). We test our argument using a data set on UNPO mandates and original fieldwork on three sequential UNPOs in Burundi.