bluuebunny/crossref_metadata_2025 huggingface dataset:
CoAtGIN: Marrying Convolution and Attention for Graph-based Molecule Property Prediction
Authors: Zhang Xuan , Chen Cheng , Meng Zhaoxu , Yang Zhenghe , Jiang Haitao , Cui Xuefeng
Published: August 2022

Molecule property prediction based on computational strategy plays a key role in the process of drug discovery and design, such as DFT. Yet, these traditional methods are time-consuming and labour-intensive, which can’t satisfy the need of biomedicine. Thanks to the development of deep learning, there are many variants of Graph Neural Networks (GNN) for molecule representation learning. However, whether the existed well-perform graph-based methods have a number of parameters, or the light models can’t achieve good grades on various tasks. In order to manage the trade-off between efficiency and performance, we propose a novel model architecture, CoAtGIN, using both Convolution and Attention. On the local level, k-hop convolution is designed to capture long-range neighbour information. On the global level, besides using the virtual node to pass identical messages, we utilize linear attention to aggregate global graph representation according to the importance of each node and edge. In the recent OGB Large-Scale Benchmark, CoAtGIN achieves the 0.0933 Mean Absolute Error (MAE) on the large-scale dataset PCQM4Mv2 with only 5.6 M model parameters. Moreover, using the linear attention block improves the performance, which helps to capture the global representation.
Dear-DIAXMBD: deep autoencoder for data-independent acquisition proteomics
Authors: He Qingzu , Zhong Chuan-Qi , Li Xiang , Guo Huan , Li Yiming , Gao Mingxuan , Yu Rongshan , Liu Xianming , Zhang Fangfei , Guo Tiannan , Guo Donghui , Ye Fangfu , Shuai Jianwei , Han Jiahuai
Published: August 2022

Data-independent acquisition (DIA) technology for protein identification from mass spectrometry and related algorithms is developing rapidly. The spectrum-centric analysis of DIA data without the use of spectra library from data-dependent acquisition (DDA) data represents a promising direction. In this paper, we proposed an untargeted analysis method, Dear-DIAXMBD, for direct analysis of DIA data. Dear-DIAXMBD first integrates the deep variational autoencoder and triplet loss to learn the representations of the extracted fragment ion chromatograms, then uses the k-means clustering algorithm to aggregate fragments with similar representations into the same classes, and finally establishes the inverted index tables to determine the precursors of fragment clusters between precursors and peptides, and between fragments and peptides. We show that Dear-DIAXMBD performs superiorly with the highly complicated DIA data of different species obtained by different instrument platforms. Dear-DIAXMBD is publicly available at https://github.com/jianweishuai/Dear-DIA-XMBD.
Medication Clusters at Hospital Discharge and Risk of Adverse Drug Events at 30-days Post-Discharge: A Population-based Cohort Study of Older Adults
Authors: Weir Daniala L. , Ma Xiaomeng , McCarthy Lisa , Tang Terence , Lapointe-Shaw Lauren , Wodchis Walter P. , Fernandes Olavo , McDonald Emily G.
Published: August 2022

Background:

Certain combinations of medications can be harmful and may lead to serious drug-drug interactions. Identifying potentially problematic medication clusters could help guide prescribing decisions in hospital.

Objectives:

To characterize medication prescribing patterns at hospital discharge and determine which medication clusters are associated with an increased risk of adverse drug events (ADEs) in the 30-days post hospital discharge.

Methods:

All residents of the province of Ontario in Canada aged 66 years or older admitted to hospital between March 2016-February 2017 were included. Identification of medication prescribing clusters at hospital discharge was conducted using latent class analysis. Cluster identification was based on medications dispensed 30-days post-hospitalization. Multivariable logistic regression was used to assess the potential association between membership to a particular medication cluster and ADEs post-discharge, while also evaluating other patient characteristics.

Results:

188,354 patients were included in the study cohort. Median age (IQR) was 77 (71-84) and patients had a median (IQR) of 9 (6-13) medications dispensed in the year prior to admission. The study population consisted of 6 separate clusters of dispensing patterns post discharge: Cardiovascular (14%), respiratory (26%), complex care needs (12%), cardiovascular and metabolic (15%), infection (10%) and surgical (24%). Overall, 12,680 (7%) patients had an ADE in the 30-days following discharge. After considering other patient characteristics, those in the respiratory cluster had the highest risk of ADEs (aOR: 1.12, 95% CI: 1.08-1.17) compared to all the other clusters, while those in the neurocognitive & complex care needs cluster had the lowest risk (aOR:0.82, 95% CI: 0.77-0.87).

Conclusion:

This study suggests that ADEs post hospital discharge are linked to identifiable clusters of medications, in addition to non-modifiable patient characteristics, such as age and certain comorbidities. This information may help clinicians and researchers better understand what patient populations and which types of interventions may benefit patients, to reduce their risk of experiencing an ADE.

KEY POINTS

This study suggests that ADEs post hospital discharge are linked to identifiable clusters of medications, in addition to non-modifiable patient characteristics, such as age and certain comorbidities. This information may help clinicians and researchers better understand what patient populations and which types of interventions may benefit patients, to reduce their risk of experiencing an ADE.

PLAIN LANGUAGE SUMMARY

Certain combinations of medications prescribed to patients when they are being discharged from hospital can increase the risk of adverse events after hospital discharge.
Evaluation of Association between CSN2 Genetic Marker 7:32016718C>A with A1/A2 Milk in Pakistani Buffaloes
Authors: Mushtaq Mehwish , Saif Rashid , Raza Muhammad Hassan , Zafar Muhammad Osama , Ahmed Zubair , Ullah Sibghat , Ahmad Mateen , Karim Asma
Published: August 2022

Milk is an essential part of the diet that plays an important role in human growth and development due to the presence of different components like calcium, fats and proteins. Among six major proteins of the milk, β-casein is one of them which is being investigated here due to the A1/A2 milk genetic variants and its associated gene of CSN2 in one of the valued species of Bubalus bubalis in Pakistan. Fifty buffalo samples were genotyped using the ARMS-PCR technique. CSN2 gene locus 32016718C>A is located on Chr.7 with CDS position c.350C>A on its 7th exon as per (GenBank transcript ID: XM_006071124.3). In β-casein, 117th amino acid position where histidine (CAT) is responsible for A1 and proline (CCT) for A2 milk phenotype. A2 milk is considered to be healthy for human health due to the absence of bioactive peptide β-casomorphin-7 (BCM7) in comparison with A1 milk. The current results showed that overall, 100% buffalo population is homozygous wild-type (CC) which means no mutant allele is detected in all studied samples therefore, Pakistani buffalo is exclusively producing A2 milk. Furthermore, this work may also be conducted on different buffalo breeds in Pakistan as well as other species of cattle, goat, sheep and camel to explore their genomic architecture for this valued trait.
The Botrytis cinerea Gene Expression Browser
Authors: Pérez-Lara Gabriel , Moyano Tomás C. , Vega Andrea , Larrondo Luis F. , Polanco Rubén , Álvarez José M. , Aguayo Daniel , Canessa Paulo
Published: August 2022

To analyze and visualize comprehensive gene expression patterns in the phytopathogenic fungus Botrytis cinerea, we developed BEB — a web-based B. cinerea gene expression browser. This tool and associated databases (DB) contain manually-curated RNA-Seq experiments conducted in B. cinerea. BEB allows easy gene expression analyses of genes of interest under different culture conditions by providing publication-ready heatmaps depicting transcripts levels. BEB is a computationally-inexpensive web-based application and gene expression DB that allows effortless visualization of the transcript levels of genes of interest without needing advanced computational skills. BEB also provides details of each experiment under analysis and user-defined gene expression clustering and visualization options. If needed, tables of gene expression values can be downloaded for further exploration, employing more sophisticated bioinformatics tools. The BEB implementation is based on open-source computational technologies that can be easily deployed for other organisms of interest with little additional effort. To demonstrate BEB’s usability and potential, we selected genes of interest in B. cinerea to determine their expression patterns across different conditions. We thus focused our analysis on secondary metabolite gene clusters, chromosome-wide gene expression, previously described virulence factors, and reference genes, leading to a comprehensive expression overview of these groups of genes in this relevant fungal phytopathogen.
Parallel streams of raphe VGLUT3-positive inputs target the dorsal and ventral hippocampus in each hemisphere
Authors: Fortin-Houde Justine , Henderson Fiona , Ducharme Guillaume , Amilhon Bénédicte
Published: August 2022

The hippocampus (HP) receives neurochemically diverse inputs from the raphe nuclei, including glutamatergic fibers characterized by the expression of the vesicular glutamate transporter VGLUT3. These raphe-HP VGLUT3 (VGLUT3HP) projections have been suggested to play a critical role in HP functions, yet a complete anatomical overview of raphe VGLUT3 projections to the forebrain, and in particular the HP, is lacking. Using anterograde viral tracing, we describe largely non-overlapping VGLUT3-positive projections from the dorsal raphe (DR) and median raphe (MnR) to the forebrain, with the HP receiving inputs from the MnR. A limited subset of forebrain regions such as the amygdaloid complex, claustrum and hypothalamus receive projections from both the DR and MnR that remain largely segregated. This highly complementary anatomical pattern suggests contrasting roles for DR and MnR VGLUT3 neurons. To further analyse the topography of VGLUT3 raphe projections to the HP, we used retrograde tracing and found that VGLUT3HP neurons distribute over several raphe sub-regions (including the MnR, paramedian raphe and B9 nucleus) and lack co-expression of serotonergic markers. Strikingly, two-color retrograde tracing unraveled two parallel streams of VGLUT3-positive projections targeting the dorsal and ventral poles of the HP. These results demonstrate highly organized and segregated VGLUT3-positive projections to the HP, suggesting independent modulation of HP functions such as spatial memory and emotion-related behavior.
Perceived barriers and entrepreneurial exit intentions: moderating role of regular versus sustainable entrepreneurship
Authors: Shahid Subhan
Published: August 2022

Purpose

This study aims to untangle how perceived barriers provoke entrepreneurial exit intentions during an entrepreneurial engagement. Drawing on the social cognitive theory (SCT), the study also theorizes the mediating role of self-efficacy and moderating effects of the nature of entrepreneurship activity (regular versus sustainable entrepreneurship) on the barriers–exit relationship.

Design/methodology/approach

The survey data were collected from 302 entrepreneurs in the UK in two waves using a time-lagged method and analyzed through the structural equation modeling technique

Findings

The results indicate that perceived barriers positively related to entrepreneurial exit intentions, whereas self-efficacy served as an effective intervening mechanism to untangle the barriers–exit relationship. In addition, consistent support was found for the moderating role of the nature of entrepreneurship activity for the hypothesized relationships.

Practical implications

The investigation unfolds that perceived barriers lead entrepreneurs to stimulate exit intentions. Therefore, it is recommended that all the stakeholders, including government, industries and academia, must collaborate and provide a favorable institutional environment where sustainable entrepreneurship can thrive and nourish.

Originality/value

Unlike studies that exhibited perceived barriers as an inhibitor to entrepreneurial intentions, the study theorizes the relevance of perceived barriers during entrepreneurial engagement and demonstrates how it determines entrepreneurial exit intentions. The study also comprehends the exiting knowledge by underpinning the SCT construct self-efficacy as an intervening factor in explaining the barriers–exit relationship.
From Industry 4.0 to Construction 4.0: barriers to the digital transformation of engineering and construction sectors
Authors: Wang Kaiyang , Guo Fangyu , Zhang Cheng , Schaefer Dirk
Published: August 2022

Purpose

The purpose of this study is to systematically identify, assess, and categorize the barriers to digital transformation (DT) in the engineering and construction sectors, and thus to better understand the impact and how these sectors might be overcome.

Design/methodology/approach

This study adopted a sequential mixed qualitative and quantitative data collection and analysis approach. DT barriers were first identified from relevant literature and verified by an expert panel. Then, a questionnaire survey assessing the impacts of the identified DT barriers was distributed to construction professionals in China, and 192 valid responses were retrieved. Further, the data obtained were analyzed using ranking analysis, exploratory factor analysis (EFA), and partial least squares-structural equation modeling (PLS-SEM).

Findings

Based on the ranking analysis, the top three barriers are “lack of industry-specific standards and laws,” “lack of clear vision, strategy and direction for DT,” and “lack of support from top management for DT.” EFA enabled the grouping of the 26 barriers into 3 categories: (1) lack of laws and regulations (LLR), (2) lack of support and leadership (LSL), and (3) lack of resources and professionals (LRP). The PLS-SEM analysis revealed that LLR, LSL, and LRP were found to have significant negative impacts on DT.

Originality/value

These findings contribute to the body of knowledge on DT in the construction industry and help construction firms and government bodies improve the understanding of these barriers to DT and put forward relevant policies and incentives, thus seizing the DT benefits as a way to enhance construction project management.
Managing global HRM integration in international expansion: the case of Geely cross-border acquisition
Authors: Xie Zaiyang , Wei Mei , Ding Xinyi , Thomson Stanley Bruce
Published: August 2022

Learning outcomes

This case was designed for use at the undergraduate and MBA level in human resource management and international business. Upon completion of the case study discussion and assignments, students will be able to: (1) understand human resource management in multinational corporations and the importance of cross-cultural management and human resource integration in acquisitions; (2) understand the challenges and solutions faced by multinational corporations in the process of expansion; (3) analysis of what characteristics should be considered in CEO selection for managing a newly acquired company; and (4) analyze how to better promote global human resource management from the dimensions of localized HRM system reform and human resource structure reconstruction.

Case overview/synopsis

After a long period of negotiation, exploration, suspension and restart, Geely Group finally acquired 49.9% of the shares of DRB’s Proton Holding and 51% of the shares of the luxury car brand, Lotus Group. On the afternoon of May 24, Geely Holding Group held an acquisition signing ceremony with the Malaysia DRB-HICOM Berhad (hereinafter referred to as DRB). Geely’s commercial territory now extended into Southeast Asia, and its product spectrum increased to luxury sports cars.However, the completion of the acquisition did not mean peace of mind. On the contrary, Geely still faced a series of challenges because of differences in cultural background. The national cultures of the two countries (China and Malaysia) were very different, and so were the values of the two enterprises. Facing the challenges of promoting global human resource integration, Geely needs to make a fundamental decision on the HRM mode in the new-acquired company. Should Geely transplant its own management practice into the Proton, or adopt localized HRM philosophy? Which kind of global HRM practice would be more effective for supporting the new-acquired company developments in the future? In the post-acquisition management, how to better realize the global human resources integration become a key problem faced by Geely.

Complexity academic level

This case was designed for use at the undergraduate and MBA level in human resource management and international business.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 6: Human Resource Management.
“Literacy to me is about power”: reading book-length fiction and non-fiction texts in a disciplinary literacy teacher education course
Authors: Neville Mary , Marlatt Rick
Published: August 2022

Purpose

This paper aims to examine the reading of a book-length fiction or non-fiction text in one disciplinary literacy (DL) teacher education course. This paper considers how the assignment may help pre- and in-service teachers understand literacy as multifaceted and connected within and beyond their content areas (Moje, 2015). The research explores how reading a book-length text may help support DL, equity-oriented curricula that consider literacy as empowerment and connected to lived and communal experiences (Gonzálezet al., 2005; Muhammad, 2020).

Design/methodology/approach

This work is grounded in a qualitative, humanizing methodology and thematic analysis approach (Braun and Clarke, 2006; Paris and Winn, 2014). This approach examines student work in one DL course, considering how teachers within and beyond English language arts (ELA) respond to the task of reading a book-length text.

Findings

First, the assignment offered space for participants to redefine literacy as empowerment and enjoyment. Second, the assignment helped participants connect literacy within and beyond their content areas and to see literacy as active and interdisciplinary. Third, the assignment includes clear limitations for a DL approach, particularly when participants focus mainly on connections to their content area. This sometimes obfuscated participants’ enjoyment of reading.

Originality/value

The study offers a new perspective on a task that is often seen as specifically “ELA”: reading a book-length text. This project offers space for ELA educators to consider literacy from a DL, equity-oriented framework focused on enjoyment in literature within and beyond ELA classrooms.
The impact of perceived value on engagement: the role of teacher behavior
Authors: Al Issa Hussein-Elhakim , Saad Shahrin , Dittavichai Rungrudee
Published: August 2022

Purpose

This paper investigates the impact of perceived value on academic engagement (AE) of students in an online learning environment. The mediating effect of teacher behavior (TB) on the relationships is also explored.

Design/methodology/approach

Data were collected from 542 students studying at different specializations in Malaysia and Thailand academic institutions. This study employed a quantitative methodology and utilized the SmartPLS for data analyses.

Findings

The results suggest that students' perceived value is a strong predictor of AE, while TB positively and significantly mediated only social value–engagement association and spiritual value–engagement association.

Practical implications

These findings suggest focusing on TB as a dynamic variable in pursuing students' AE. Still, the cross-cultural and gender differences uncovered added important factors to consider when designing online learning programs across different student groups.

Originality/value

By building on reasoned action theory (TRA) and integrating TRA with social motivational theory, this study provides novel theoretical insights that reveal mechanisms whereby students' perceived value promotes AE through TB in online learning.
A forecasting analytics model for assessing forecast error in e-fulfilment performance
Authors: Ho G.T.S. , Choy S.K. , Tong P.H. , Tang V.
Published: August 2022

Purpose

Demand forecast methodologies have been studied extensively to improve operations in e-commerce. However, every forecast inevitably contains errors, and this may result in a disproportionate impact on operations, particularly in the dynamic nature of fulfilling orders in e-commerce. This paper aims to quantify the impact that forecast error in order demand has on order picking, the most costly and complex operations in e-order fulfilment, in order to enhance the application of the demand forecast in an e-fulfilment centre.

Design/methodology/approach

The paper presents a Gaussian regression based mathematical method that translates the error of forecast accuracy in order demand to the performance fluctuations in e-order fulfilment. In addition, the impact under distinct order picking methodologies, namely order batching and wave picking. As described.

Findings

A structured model is developed to evaluate the impact of demand forecast error in order picking performance. The findings in terms of global results and local distribution have important implications for organizational decision-making in both long-term strategic planning and short-term daily workforce planning.

Originality/value

Earlier research examined demand forecasting methodologies in warehouse operations. And order picking and examining the impact of error in demand forecasting on order picking operations has been identified as a research gap. This paper contributes to closing this research gap by presenting a mathematical model that quantifies impact of demand forecast error into fluctuations in order picking performance.
Exploring sentiment divergence on migrant workers through the lens of Sina Weibo
Authors: Li Qilan , Zuo Zhiya , Zhang Yang , Wang Xi
Published: August 2022

Purpose

Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population inflow to urban areas introduces nontrivial social conflicts between urban natives and migrant workers. This study aims to investigate the most discussed topics about migrant workers on Sina Weibo along with the corresponding sentiment divergence.

Design/methodology/approach

An exploratory-descriptive-explanatory research methodology is employed. The study explores the main topics on migrant workers discussed in social media via manual annotation. Subsequently, guided LDA, a semi-supervised topic modeling approach, is applied to describe the overall topical landscape. Finally, the authors verify their theoretical predictions with respect to the sentiment divergence pattern for each topic, using regression analysis.

Findings

The study identifies three most discussed topics on migrant workers, namely wage default, employment support and urban/rural development. The regression analysis reveals different diffusion patterns contingent on the nature of each topic. In particular, this study finds a positive association between urban/rural development and the sentiment divergence, while wage default exhibits an opposite relationship with sentiment divergence.

Originality/value

The authors combine unique characteristics of social media with well-established theories of social identity and framing, which are applied more to off-line contexts, to study a unique phenomenon of migrant workers in China. From a practical perspective, the results provide implications for the governance of urbanization-related social conflicts.
Phishing victimization among Malaysian young adults: cyber routine activities theory and attitude in information sharing online
Authors: Lee Yi Yong , Gan Chin Lay , Liew Tze Wei
Published: August 2022

Purpose

The purpose of this paper is to understand the influence of exposure to motivated offenders who may alter the vulnerability levels to phishing victimization. This is particularly focused on explaining the influences of individuals’ online lifestyles and attitudes toward information sharing online on phishing susceptibility.

Design/methodology/approach

This conceptual paper explores the risk of phishing victimization using criminological theories. The authors draw on empirical evidence from existing cybercrime literature and revisit routine activities theory (RAT) and lifestyle RAT (LRAT) to elucidate the risk of phishing victimization. This paper proposes that cyber-RAT, which was developed from RAT and LRAT, could interpret phishing victimization. Grounded on the intervention-based theory against cybercrime phishing, this study suggests that an attitude toward precautionary behavior (information sharing online) is essential to mitigate the phishing victimization risk.

Findings

This paper aims to provide a clear insight into the understanding of phishing victimization risk using theoretical and empirical evidence.

Originality/value

The theoretical perspective outlined provides the understanding of the impacts of online routine activities on a phishing attack which in turn will increase the awareness of phishing threats. The important role of the precautionary countermeasure, that is, attitudes toward information sharing online is highlighted to reconcile the phishing victimization risk.
Does media exposure and media legitimacy moderate the relationship between environmental audit committee and environmental disclosure quality?
Authors: Jarboui Anis , Moalla Marwa
Published: August 2022

Purpose

This study aims to examine the moderating effect of media exposure and media legitimacy on the environmental audit committee (EAC) regarding environmental disclosure quality as measured by voluntary and timely disclosure.

Design/methodology/approach

This paper was based on a sample of 81 French nonfinancial companies listed on the SBF 120 index and covered a six-year period; from 2014 to 2019. To test the hypotheses, a feasible generalized least squares regression was applied. Moreover, the authors checked the results using an additional analysis and the generalized method of moment model for endogeneity problems.

Findings

The results obtained show that for 482 French firm-year observations during the period 2014–2019, the media exposure does not play a moderating role between the EAC and the voluntary environmental disclosure; However, it plays a moderating role between the EAC and the timely environmental disclosure. The results also show that media legitimacy plays a moderating role between the EAC and the quality of environmental information. After testing for endogeneity problems, the findings remain unchanged.

Research limitations/implications

The findings of this study may be of interest to academic researchers, practitioners and regulators who are interested in determining the quality of environmental disclosure by considering the role of the EAC while giving a role to media exposure and media legitimacy in the French context. Considering the EAC as a powerful source of effective corporate governance to improve the quality of environmental disclosure for decision-making, the research provides valuable insights for policymakers and managers on the importance of this mechanism and the importance of the environmental media and its tone in making environmental reporting useful and relevant.

Originality/value

The originality of the work lies in the fact that it is one of the first works that deal with the moderating effect of media exposure on the relationship between the EAC and the quality of environmental information disclosure measured by voluntary and timely disclosure. To the best of the authors’ knowledge, no previous empirical studies have been conducted on this relationship in the French context or in other contexts.
Experiential learning through applied theatre in corporate training: a qualitative approach
Authors: Sinha Ekta , D'Souza Keith
Published: August 2022

Purpose

Experiential learning pedagogy has been an increasingly popular mode of learning in educational and training programs. While there have been methods such as role plays which have been popular in training and educational programs, applied theatre in corporate training (ATCT) is gaining popularity because of its great potential in connecting intellect and emotions, to meaningfully challenge norms and assumptions. This article aims to present empirical and “participant-centric” evidences to posit ATCT as a potentially powerful participant-centric pedagogical tool in corporate training programs that is likely to make the learning process more engaging for participants and more fruitful for the organization.

Design/methodology/approach

This paper used qualitative approach. Focused group discussion (FGD) and author's first-hand experience of observing ATCT helped gather data for further analysis. Review of related literature from management, organizational behavior and training and development was done to identify the major themes.

Findings

The findings suggest that ATCT is a novel, innovative mode of enhancing individual learning and development by utilizing all the four modes of experiential learning as conceptualized by Kolb. ATCT also helps in developing organizational aesthetics (OA) among participants that help businesses to better execute their strategies.

Research limitations/implications

The application of ATCT could enable greater involvement of employees from across different levels and of different backgrounds in looking at organizational issues. ATCT helps participants gain greater insights and understanding of organizational situations beyond technical nuances by establishing deeper connections between intellect and emotions and collectively contributing to resolving them.

Originality/value

The study points to the possibility and potential of using participant-centric ATCT in organizational learning which goes beyond basic skill development. It also draws attention towards a participatory form of organizational development via ATCT by improving OA among participants.
Competing or coopeting? Italian banking rivalry in Egypt, 1924–1940
Authors: Berbenni Enrico , Cantù Chiara , Colombo Stefano
Published: August 2022

Purpose

The purpose of this paper is to investigate the key drivers of coopetition by adopting a managerial and economic framework. A case of coopetition failure is investigated by means of a historical example focused on the Egyptian adventure of the Italian banks in the first decades of the XX century.

Design/methodology/approach

The authors adopt a qualitative case study and a flexible pattern matching approach to develop theoretical ideas. Because the flexible pattern matching approach was adopted, the authors build the analysis on a tentative analytical framework specified a priori to provide guidance and focus. This approach allows a theory-driven research paradigm. The historical case study is mainly grounded on original sources drawn from some major banking and institutional archives.

Findings

While several scholars emphasised the relevance of external drivers, the literature has paid less attention to how relational and internal drivers combine. The historical case suggests that key mechanisms supporting the success of coopetition concern planning of common goals, conflicts management, alignment and formalisation of governance. In this vein, internal and relational dimensions seem to be more relevant than environment-context dimension. In addition, the historical example shows that an intra- and inter-firm alignment is required to pursue the implementation of a coopetitive strategy. This suggests the relevance of a holistic approach to investigate coopetition. Further evidence confirms the role of governance mechanisms for the success of coopetition.

Originality/value

The main contribution of this study is the re-consideration of the drivers of coopetition. In particular, the role of coopetition drivers has been investigated using a historical event: the Italian multinational banking in Egypt in the interwar years.
The contribution of the private sector to poverty alleviation programs: exploring business engagement in conditional cash transfers
Authors: Ungson Gerardo Rivera , Hudgens David , Gonzalez-Perez Maria Alejandra , Wong Yim-Yu , Wong Sara A. , Monje-Cueto Fabiola , Borda Armando , Soorapanth Sada
Published: August 2022

Purpose

This study aims to propose the roles for business, broadly defined, in government-led programs designed to enhance human capital investment. Through conditional cash transfers (CCTs), businesses have opportunities to alleviate poverty, address the United Nations’ 2030 Agenda (SDGs), enhance CCT viability and explore new market opportunities.

Design/methodology/approach

This multifaceted research approach consists of five case studies of CCTs in Latin America, face-to-face field meetings with CCT administrators, 48 CCT beneficiaries in a pilot study and 31 interviews (verbal and remote) with business managers and companies in five countries.

Findings

Building on an on-site pilot study, an in-depth appraisal of five CCTs in Latin America over a five-year period, the authors examined six stages of CCT activities to assess possible areas of business engagement. The cases, augmented by field interviews with businesses, present fledgling business engagement in CCTs. In light of anticipated growth in CCTs, this study presents six major ways businesses can further participate in selected stages of CCT operations that contribute to their long-term sustainability, as well as future market opportunities.

Originality/value

Conducted over a five-year period with participants from government, businesses and CCT beneficiaries, this study deepens our understanding of how businesses can alleviate poverty through engaging in government-led antipoverty programs.
Industry 4.0 and the circular economy: using design-stage digital technology to reduce construction waste
Authors: Talla Anuja , McIlwaine Stephen
Published: August 2022

Purpose

This study examines how applying innovative I4.0 technologies at the design stage can help reduce construction waste and improve the recovery, reuse, and recycling of construction materials.

Design/methodology/approach

The study adopts a three-stage sequential mixed methods approach, involving a thorough review of current literature, interviews with six experts in digital construction, and a survey of 75 experienced industry practitioners.

Findings

The study identifies and discusses how ten specific digital technologies can improve design stage processes leading to improved circularity in construction, namely, (1) additive and robotic manufacturing; (2) artificial intelligence; (3) big data analytics; (4) blockchain technology; (5) building information modelling; (6) digital platforms; (7) digital twins; (8) geographic information systems; (9) material passports and databases; and (10) Internet of things. It demonstrates that by using these technologies to support circular design concepts within the sector, material recycling rates can be improved and unnecessary construction waste reduced.

Practical implications

This research provides researchers and practitioners with improved understanding of the potential of digital technology to recycle construction waste at the design stage, and may be used to create an implementation roadmap to assist designers in finding tools and identifying them.

Originality/value

Little consideration has been given to how digital technology can support design stage measures to reduce construction waste. This study fills a gap in knowledge of a fast-moving topic.
Smart green supply chain management: a configurational approach to enhance green performance through digital transformation
Authors: Lerman Laura V. , Benitez Guilherme Brittes , Müller Julian M. , de Sousa Paulo Renato , Frank Alejandro Germán
Published: August 2022

Purpose

While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM).

Design/methodology/approach

This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques.

Findings

The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect.

Practical implications

This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance.

Originality/value

As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.
The use of a semi‐structured finite‐element mesh in 3‐D resistivity inversion
Authors: Loke M. H. , Wilkinson P. B. , Kuras O. , Meldrum P. I. , Rucker D. F.
Published: August 2022

Calculating the electric potential for 3‐D resistivity inversion algorithms can be time consuming depending on the structure of the mesh. There have been generally two approaches to generating finite‐element meshes. One approach uses a structured rectangular mesh with hexahedral elements on a rectangular model grid. The distribution of model cells can be designed to follow known boundaries, and directional roughness constraints can be easily imposed. A 1‐D wavelet transform that takes advantage of the regular arrangement of the model cells can also be used to reduce the computer time and memory required to solve the smoothness‐constrained least‐squares equation. However, the structured rectangular mesh uses an unnecessarily fine mesh in parts of the model that are far away from the electrodes where the potential changes gradually. A second approach uses an unstructured mesh with tetrahedral elements created automatically by a mesh generation program with finer elements nearer the electrodes and coarser elements in the more remote regions. This generates a mesh with a much smaller number of nodes. The disadvantage is that an irregular model grid is normally used. We examine an alternative approach that combines structured and unstructured meshes. We employ a regular model grid with a finer mesh near the surface and a coarser mesh in deeper regions using a combination of hexahedral and tetrahedral elements. The semi‐structured mesh reduces the calculation time by more than three times compared with a structured mesh. An adaptive semi‐structured mesh that also uses a coarser mesh for model cells near the surface if they are more than one unit electrode spacing from the nearest electrode was also developed for surveys with non‐uniform data coverage. For the Bonsall Leys field survey, which used a capacitively coupled mobile system and collected a data set with nearly a million electrode positions, the adaptive mesh reduces the calculation time by about 80%. The calculation time can be further reduced by about 93% when it is combined with a mesh segmentation method.
Task interruptions in emergency medicine
Authors: Henry Eugene S
Published: August 2022

Emergency physicians often experience significant cognitive load and task interruptions in the ED. This combination results in cognitive errors and poor patient outcomes. Quality research about this topic is scarce. Raising awareness of personal thinking processes (metacognition) is one way of reducing the unfavourable impact of task interruptions on cognition.
The Shishugou Fauna of the Middle‐Late Jurassic Transition Period in the Junggar Basin of Western China
Authors: XU Xing , CLARK James M. , EBERTH David A. , CURRIE Philip J.
Published: August 2022

The Middle–Late Jurassic transition period is a critical period for the evolution of terrestrial vertebrates, but the global fossil record from this time is relatively poor. The Shishugou Fauna of this period has recently produced significant fossil remains of dinosaurs and other vertebrate groups, some representing the earliest known members of several dinosaurian groups and other vertebrate groups and some representing the best‐known specimens of their group. These discoveries are significant for our understanding of the origin and evolution of several vertebrate lineages. Radiometric dating indicates that the fauna is aged approximately 159–164 Ma. Comparisons with other similarly‐aged terrestrial faunas such as Shaximiao and Yanliao show both taxonomic similarities and differences between these faunas and indicate that the Junggar deposits might have preserved the most complete vertebrate fossil record for a Middle–Late Jurassic Laurasian terrestrial fauna.
A prognostic analysis of antisynthetase syndrome‐related interstitial lung disease
Authors: Li Xin , Zhou Qian , Wu Pengchao , Chen Qian , Ren Zhenyu , Yang Xue , Tang Xiaokui
Published: August 2022

Objective

To analyze prognostic factors of antisynthetase syndrome (ASS)‐related interstitial lung disease (ILD).

Methods

We retrospectively collected the data of 77 inpatients with ASS‐ILD at our hospital from January 1, 2018, to January 1, 2021. The improvement/stability group and deterioration/death group were defined according to their follow‐up outcome. Clinical data of the 2 groups were compared. Univariate analysis was adopted to screen the possible prognostic factors and then logistic regression was used for multivariate analysis.

Result

After 6 to 42 months of follow‐up, 52 patients (67.5%) were classified into the improvement/stability group, and 25 patients (32.5%) were classified into the deterioration/death group. According to the multivariate stepwise logistic regression analysis, respiratory failure (odds ratio [OR] = 6.71, 95% CI: 1.64–27.38, P = .008) and elevated muscle enzymes (OR = 4.31, 95% CI: 1.03–18.05, P = .045) were found to be independent risk factors, while mechanic's hands (OR = 0.06, 95% CI: 0.01–0.37, P = .003) and anti‐Jo‐1 antibody (OR = 0.24, 95% CI: 0.06–0.93, P = .039) were protective factors.

Conclusion

The prognostic assessment of ASS‐ILD patients should be emphasized. Patients with a poor prognosis should be identified early based on their risk factors to guide clinical management decisions.
Sino–Americanrelations and the ‘new cold war’: A useful analogy for the Middle East?
Authors: Friedman Brandon , Sela Ori
Published: August 2022

This article examines the value of the ‘Cold War’ analogy – which has become a commonly used shorthand to describe the Sino–American rivalry – for understanding the effects of the current great power competition in the Middle East. Instead of thinking in terms of the zero‐sum logic of the Cold War, we are using the Cold War history in the Middle East as a heuristic device to sharpen our understanding of today's dilemmas. In other words, we are arguing for the benefits of thinkingwiththe analogy rather than adopting it as a kind of conceptual framework for decision‐making. Thinking with the analogy can help us identifyhowandwhythe Sino–American rivalry is shaping the Middle East's political and security context. After examining the merits of the analogy, we propose three ‘lessons’ from the Cold War history that can help us comprehend the potential effects of the Middle East on the Sino–American rivalry: Middle East actors can intensify the great power rivalry; Middle East conflicts may force reluctant regional actors to choose a side in the great power rivalry; and, lastly, Middle East energy resources flow in line with the producers' interests, not just the great powers' interests.
What does radiomics do in PD‐L1 blockade therapy of NSCLC patients?
Authors: Cui Ruichen , Yang Zhenyu , Liu Lunxu
Published: August 2022

With the in‐depth understanding of programmed cell death 1 ligand 1 (PD‐L1) in non‐small cell lung cancer (NSCLC), PD‐L1 has become a vital immunotherapy target and a significant biomarker. The clinical utility of detecting PD‐L1 by immunohistochemistry or next‐generation sequencing has been written into guidelines. However, the application of these methods is limited in some circumstances where the biopsy size is small or not accessible, or a dynamic monitor is needed. Radiomics can noninvasively, in real‐time, and quantitatively analyze medical images to reflect deeper information about diseases. Since radiomics was proposed in 2012, it has been widely used in disease diagnosis and differential diagnosis, tumor staging and grading, gene and protein phenotype prediction, treatment plan decision‐making, efficacy evaluation, and prognosis prediction. To explore the feasibility of the clinical application of radiomics in predicting PD‐L1 expression, immunotherapy response, and long‐term prognosis, we comprehensively reviewed and summarized recently published works in NSCLC. In conclusion, radiomics is expected to be a companion to the whole immunotherapy process.
Combined procedure with radial probe and convex probe endobronchial ultrasound
Authors: Chung Hyun Sung , Pak Kyoungjune , Lee Geewon , Eom Jung Seop
Published: August 2022

Background

Concurrent bronchoscopy using radial probe and convex endobronchial ultrasound (RP‐ and CP‐EBUS) is used to simultaneously evaluate both peripheral lung lesions for the histological diagnosis of the primary tumor and mediastinal lymph nodes for mediastinal staging. So far, little is known about the combined procedure with RP‐ and CP‐EBUS.

Methods

Between January 2020 and March 2021, the bronchoscopy database was reviewed to identify the clinical outcomes of the combined procedure with RP‐ and CP‐EBUS. Patients who underwent transbronchial biopsy using RP‐EBUS alone were classified as the RP‐EBUS group, while those who underwent a combined procedure with RP‐ and CP‐EBUS were classified as the combination group.

Results

The overall diagnostic yield of the bronchoscopic procedure in the combination group was significantly higher than the RP‐EBUS group (90.7% vs. 70.0%, p < 0.001). CP‐EBUS increased the diagnostic yield of the bronchoscopic procedure in the combination group by 9.3%. Although the mean procedure time was significantly longer, and the mean doses of midazolam and fentanyl were significantly higher in the combination group (p < 0.001), there were no differences in the overall complication rates between the two study groups (1.4% and 1.0% for the RP‐EBUS and combination groups, respectively, p = 0.766).

Conclusions

Combined bronchoscopy using RP‐ and CP‐EBUS is feasible and safe. In addition to mediastinal staging, CP‐EBUS increased the overall diagnostic yield of the bronchoscopic procedure by 9.3%.