bluuebunny/crossref_metadata_2025 huggingface dataset:
A mechanism of uncompetitive inhibition of the serotonin transporter
Authors: Bhat Shreyas , El-Kasaby Ali , Kasture Ameya , Boytsov Danila , Reichelt Julian B. , Hummel Thomas , Sucic Sonja , Pifl Christian , Freissmuth Michael , Sandtner Walter
Published: August 2022

The serotonin transporter (SERT/SLC6A4) is arguably the most extensively studied solute carrier (SLC). During its eponymous action - i.e., the retrieval of serotonin from the extracellular space - SERT undergoes a conformational cycle. Typical inhibitors (antidepressant drugs and cocaine), partial and full substrates (amphetamines and their derivatives) and atypical inhibitors (ibogaine analogues) bind preferentially to different states in this cycle. This results in competitive or non-competitive transport inhibition. Here, we explored the action of N-formyl-1,3-bis (3,4-methylenedioxyphenyl)-prop-2-yl-amine (ECSI#6) on SERT: inhibition of serotonin uptake by ECSI#6 was enhanced with increasing serotonin concentration. Conversely, the KM for serotonin was lowered by augmenting ECSI#6. ECSI#6 bound with low affinity to the outward-facing state of SERT but with increased affinity to a potassium-bound state. Electrophysiological recordings showed that ECSI#6 preferentially interacted with the inward-facing state. Kinetic modeling recapitulated the experimental data and verified that uncompetitive inhibition arose from preferential binding of ECSI#6 to the K+-bound, inward-facing conformation of SERT. This binding mode predicted a pharmacochaperoning action of ECSI#6, which was confirmed by examining its effect on the folding-deficient mutant SERT-PG601,602AA: pre-incubation of HEK293 cells with ECSI#6 restored export of SERT-PG601,602AA from the endoplasmic reticulum and substrate transport. Similarly, in transgenic flies, administration of ECSI#6 promoted delivery of SERT-PG601,602AA to the presynaptic specialization of serotonergic neurons. To the best of our knowledge, ECSI#6 is the first example of an uncompetitive SLC inhibitor. Pharmacochaperones endowed with the binding mode of ECSI#6 are attractive, because they can rescue misfolded transporters at concentrations, which cause modest transport inhibition.
Structure of the pre-mRNA leakage 39-kDa protein reveals a single domain of integrated zf-C3HC and Rsm1 modules
Authors: Hashimoto Hideharu , Ramirez Daniel H. , Lautier Ophélie , Pawlak Natalie , Blobel Günter , Palancade Benoît , Debler Erik W.
Published: August 2022

InSaccharomyces cerevisiae, the pre-mRNA leakage 39-kDa protein (ScPml39) was reported to retain unspliced pre-mRNA prior to export through nuclear pore complexes (NPCs). Pml39 homologs outside theSaccharomycetaceaefamily are currently unknown, and mechanistic insight into Pml39 function is lacking. Here we determined the crystal structure ofScPml39 at 2.5 Å resolution to facilitate the discovery of orthologs beyondSaccharomycetaceae, e.g. inSchizosaccharomyces pombeor human. The crystal structure revealed integrated zf-C3HC and Rsm1 modules, which are tightly associated through a hydrophobic interface to form a single domain. Both zf-C3HC and Rsm1 modules belong to the Zn-containing BIR (Baculovirus IAP repeat)-like super family, with key residues of the canonical BIR domain being conserved. Features unique to the Pml39 modules refer to the spacing between the Zn-coordinating residues, giving rise to a substantially tilted helix aC in the zf-C3HC and Rsm1 modules, and an extra helix αAB’ in the Rsm1 module. Conservation of key residues responsible for its distinct features identifiesS. pombeRsm1 andHomo sapiensNIPA/ZC3HC1 as structural orthologs ofScPml39. Based on the recent functional characterization of NIPA/ZC3HC1 as a scaffold protein that stabilizes the nuclear basket of the NPC, our data suggest an analogous function ofScPml39 inS. cerevisiae.
Accessible, interactive and cloud-enabled genomic workflows integrated with the NCI Genomic Data Commons
Authors: Hung Ling-Hong , Fukuda Bryce , Schmitz Robert , Hoang Varik , Lloyd Wes , Yeung Ka Yee
Published: August 2022

Large scale data resources such as the NCI’s Cancer Research Data Commons (CRDC) and the Genotype-Tissue Expression (GTEx) portal have the potential to simplify the analysis of cancer data by providing data that can be used as standards or controls. However, comparisons with data that is processed using different methodologies or even different versions of software, parameters and supporting datasets can lead to artefactual results. Reproducing the exact workflows from text-based standard operating procedures (SOPs) is problematic as the documentation can be incomplete or out of date, especially for complex workflows involving many executables and scripts. We extend our open-source Biodepot-workflow-builder (Bwb) platform to provide a dynamic solution that disseminates the computational protocols to process large-scale sequencing data developed by the National Cancer Institute (NCI) Genomic Data Commons (GDC). Specifically, we converted the GDC DNA sequencing (DNA-Seq) and the GDC mRNA sequencing (mRNA-Seq) SOPs into reproducible, self-installing, containerized, and interactive graphical workflows. Secure integration with protected-access CRDC data is achieved using the Data Commons Framework Services (DCFS) Gen3 protocol. These graphical workflows can be applied to reproducibly analyze datasets across other repositories and/or custom user data. Analyses can be performed on a local laptop, desktop, or cloud providers. With RNA-Seq datasets from the GDC and GTEx, we illustrate the importance of uniform analysis of control and treatment data for accurate inference of differentially expressed genes. Furthermore, we demonstrate that these best practices for analyzing RNA-seq data from different sources can be achieved using our accessible workflows. Most importantly, we demonstrate how our reproducible distribution of the methodology can transform the analyses of cancer genomic data by enabling researchers to leverage datasets across multiple repositories to enhance data interpretation.
An evaluation of the early impact of the COVID-19 pandemic on Zambia’s routine immunization program
Authors: Winter Amy K. , Takahashi Saki , Carcelén Andrea , Hayford Kyla , Mutale Wilbroad , Mwansa Francis , Sinyange Nyambe , Ngula David , Moss William J. , Mutembo Simon
Published: August 2022

Background

Implications of the COVID-19 pandemic for both populations and healthcare systems are vast. In addition to morbidity and mortality from COVID-19, the pandemic also has disrupted local health systems, including reductions or delays in routine vaccination services and catch-up vaccination campaigns that could lead to outbreaks of other infectious diseases that result in an additional burden of disease and strain on the healthcare system.

Methods and Findings

We evaluated the impact of the COVID-19 pandemic on Zambia’s routine childhood immunization program in 2020 using multiple sources of data. We relied on district-level administrative vaccination coverage data and Zambia’s 2018 Demographic and Health Survey to project disruptions to routine childhood vaccination within the pandemic year 2020 (N=5,670). Next, we leveraged serological data to predict age-specific measles seroprevalence and assessed the impact of changes in vaccination coverage on measles outbreak risk in each district. We found minor disruptions to routine administration of measles-rubella and pentavalent vaccines in 2020. This was in part due to Zambia’s Child Health Week held in June of 2020 which helped to reach children missed during the first six months of the year. We estimated that the two-month delay in a measles-rubella vaccination campaign, originally planned for September of 2020 but conducted in November of 2020 as a result of the pandemic, had little impact on modeled district-specific measles outbreak risks.

Conclusions

The pandemic only minimally increased the number of children missed by measles-rubella and pentavalent vaccines in 2020. However, the ongoing SARS-CoV-2 transmission since our analysis concluded means efforts to maintain routine immunization services and minimize the risk of measles outbreaks will continue to be critical. Fortunately, the methodological framework developed in this analysis relied on routinely collected data and can be used to evaluate COVID-19 pandemic disruptions in Zambia following 2020 and in other countries or for other vaccines at a sub-national level.
ATF3 Preserves Skeletal Muscle Stem Cell Quiescence by Preventing Precocious Activation
Authors: Zhang Suyang , Huang Yile , Yang Feng , He Liangqiang , Li Yuying , Esther Wan Yi Ching , Ding Yingzhe , Chan Kui Ming , Xie Ting , Sun Hao , Wang Huating
Published: August 2022

Skeletal muscle stem cells (also called satellite cells, SCs) are important for maintaining muscle tissue homeostasis and damage-induced regeneration. However, it remains poorly understood how the SC quiescence is preserved. Here we report that AP-1 family member ATF3 preserves the SC quiescence by preventing their premature activation. Atf3 is rapidly and transiently induced in SCs upon activation. Short-term deletion of Atf3 in SCs accelerates acute injury-induced regeneration, and however, its long-term deletion exhausts the SC pool and thus impairs muscle regeneration. The Atf3 loss also provokes SC activation during voluntary exercise and enhances SC activation during resistance exercise. Mechanistically, ATF3 directly activates the transcription of Histone 2B genes, which reduction accelerates nucleosome displacement and gene transcription required for SC activation. Finally, the ATF3-dependent H2B expression also prevents genome instability and replicative senescence in SCs. Therefore, this study has revealed a novel mechanism for preserving the SC population by actively suppressing precocious activation, in which ATF3 is a key regulator.
Accumulation of defense systems in phage resistant strains ofPseudomonas aeruginosa
Authors: Costa Ana Rita , van den Berg Daan F. , Esser Jelger Q. , Muralidharan Aswin , van den Bossche Halewijn , Bonilla Boris Estrada , van der Steen Baltus A. , Haagsma Anna C. , Fluit Ad C. , Nobrega Franklin L. , Haas Pieter-Jan , Brouns Stan J.J.
Published: August 2022

Prokaryotes encode multiple distinct anti-phage defense systems in their genomes. However, the impact of carrying a multitude of defense systems on phage resistance remains unclear, especially in a clinical context. Using a collection of antibiotic-resistant clinical strains ofPseudomonas aeruginosaand a broad panel of phages, we demonstrate that defense systems contribute substantially to defining phage host range and that overall phage resistance scales with the number of defense systems in the bacterial genome. We show that many individual defense systems are specific to phage genera, and that defense systems with complementary phage specificities co-occur inP. aeruginosagenomes likely to provide benefits in phage-diverse environments. Overall, we show that phage-resistant phenotypes ofP. aeruginosawith at least 19 phage defense systems exist in the populations of clinical, antibiotic-resistantP. aeruginosastrains.
Phosphorylation Status Of MUS81 Is A Modifier Of Olaparib Sensitivity In BRCA2-Deficient Cells
Authors: Blandino Francesca , Malacaria Eva , Figlioli Carolina , Noto Alessandro , Pugliese Giusj Monia , Franchitto Annapaola , Pichierri Pietro
Published: August 2022

The MUS81 complex is crucial for preserving genome stability through resolution of branched DNA intermediates in mitosis and also for the processing of deprotected replication forks in BRCA2-deficient cells. Because of the existence of two different MUS81 complexes in mammalian cells that act in M or S-phase, whether and how the PARPi sensitivity of BRCA2-deficient cells is affected by loss of MUS81 function is unclear.

Here, using a mutant of MUS81 that impairs its function in M-phase, we show that viability of BRCA2-deficient cells but not their PARPi sensitivity requires a fully-functional MUS81 complex in mitosis. In contrast, expression of a constitutively-active MUS81 is sufficient to confer PARPi resistance. From a mechanistic point of view, our data indicates that deregulated action of the mitotic active form of MUS81 in S-phase leads to the cleavage of stalled replication forks before their reversal, bypassing fork deprotection, and engaging a Polθ-dependent DSBs repair.

Collectively, our findings describe a novel mechanism leading to PARPi resistance that involves unscheduled MUS81-dependent cleavage of intact, unreversed replication forks. Since this cleavage occurs mimicking the phosphorylated status of S87 of MUS81, our data suggest that hyperphosphorylation of this residue in S-phase might represent a novel biomarker to identify resistance to PARPi.
Is proteolytic cleavage essential for the activation of Hydra pore-forming toxin, HALT-4?
Authors: Wei Yuen Yap , Jung Shan Hwang
Published: August 2022

The mature form of Hydra actinoporin-like toxin 4 (mHALT-4) differs from other actinoporins primarily by bearing approximately 115 additional residues at the N-terminus. Five dibasic residues were found in this extended region and we assume that, when cleaved, each truncated HALT-4 (tKK1, tKK2, tRK3, tKK4 and tKK5) could exhibit an enhanced cytolytic activity. However, our results showed that mHALT-4, tKK1 and tKK2 possessed similar cytolytic activity against HeLa cells, whereas tRK3, tKK4 and tKK5 failed to kill HeLa cells. Therefore, the cleavage of KK1 or KK2 sites did not enhance the cytolytic activity of tKK1 and tKK2 but might facilitate the sorting of tKK1 and tKK2 to the regulated secretory pathway and eventually deposit them in the nematocyst. In contrast, RK3, KK4 and KK5 were unlikely to serve as the proteolytic cleavage sites since the amino acids between KK2 and RK3 are also crucial for the pore formation.

Highlights

Five dibasic cleavage sites are identified at the N-terminal region of HALT-4 but they are unlikely to have a role in the enhancement of HALT-4 cytotoxicity.

The first two dibasic sites, KK1 and KK2, may be involved in sorting HALT-4 to the regulated secretory pathway where HALT-4 can be transported to the nematocyst.
Low intensity repetitive transcranial magnetic stimulation modulates brain-wide functional connectivity to promote anti-correlated activity
Authors: Moretti Jessica , Terstege Dylan J. , Poh Eugenia Z. , Epp Jonathan R. , Rodger Jennifer
Published: August 2022

Background

Repetitive transcranial magnetic stimulation (rTMS) induces action potentials to induce plastic changes in the brain with increasing evidence for the therapeutic importance of brain-wide functional network effects of rTMS; however, the influence of sub-action potential threshold (low-intensity; LI-) rTMS on neuronal activity is largely unknown.

Hypothesis

We investigated whether LI-rTMS modulates neuronal activity and functional connectivity. We also specifically assessed modulation of parvalbumin interneuron activity.

Methods

We conducted a brain-wide analysis of c-Fos, a marker for neuronal activity, in mice that received LI-rTMS to visual cortex. Mice received single or multiple sessions of excitatory 10Hz LI-rTMS with custom rodent coils or were sham controls. We assessed changes to c-Fos positive cell densities and c-Fos/parvalbumin co-expression. Peak c-Fos expression corresponded with activity during rTMS. We also assessed functional connectivity changes using brain-wide c-Fos-based network analysis.

Results

LI-rTMS modulated c-Fos expression in cortical and subcortical regions. c-Fos density changes were most prevalent with acute stimulation, however chronic stimulation decreased parvalbumin interneuron activity, most prominently in the amygdala and striatum. LI-rTMS also increased anti-correlated functional connectivity, with the most prominent effects also in the amygdala and striatum following chronic stimulation.

Conclusion

LI-rTMS induces changes in c-Fos expression that suggest modulation of neuronal activity and functional connectivity throughout the brain. Our results suggest that LI-rTMS promotes anticorrelated functional connectivity, possibly due to decreased parvalbumin interneuron activation induced by chronic stimulation. These changes may underpin therapeutic rTMS effects, therefore modulation of subcortical activity supports rTMS for treatment of disorders involving subcortical dysregulation.

Highlights

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Low-intensity rTMS increases brain-wide anti-correlated functional connectivity

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Acute excitatory LI-rTMS modulates cortical and subcortical neuronal activity

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Decreased parvalbumin interneuron activity may promote anti-correlated activity

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Striatum and amygdala show prominent modulation with LI-rTMS
The role of network relations and previous knowledge in the ACAP of low-tech intensity clusters
Authors: Serra Fernando Antonio Ribeiro , Carneiro-da-Cunha Julio Araujo , Vils Leonardo , Rossetto Carlos Ricardo
Published: August 2022

Purpose

The mainstream research on knowledge transfer and absorptive capacity (ACAP) in clusters was conducted in high-technology industries in developing countries. However, low technology intensity clusters present a different scenario that might affect this external knowledge transfer and ACAP. This study aims to understand the role of network relations and previous knowledge in the ACAP of a low-technology intensity cluster.

Design/methodology/approach

The authors analyzed companies from a low-technology industry in an emerging country. The authors collected 109 questionnaires from companies in the Brazilian footwear manufacturing cluster. Factor analysis led the independent variables to be regrouped into eight variables. This data set was analyzed using regression techniques.

Findings

In a low-tech cluster prevalently populated by small companies, companies have access to novelties and knowledge that influence their products and production through the frequency and stability of the network’s relational ties with the supplier. The quality of relationships with clients may provide access to products, materials, technologies and learning. Small companies consider intra-cluster competition because of limitations in accessing external competition. Although low-tech companies need to exchange knowledge and technology with suppliers and clients outside the cluster, most companies are limited in size because of liabilities. In a low-tech cluster dominated by small companies, access to better purchasing costs, new technologies or innovations is an expected weakness. Intra- and extra-cluster ties positively influenced ACAP, as did organizational capabilities, whereas employees’ skills did not.

Originality/value

Individual skills are not related to ACAP in low-technology intensity clusters. The level of ACAP in small and medium enterprises (SMEs) can be explained by the scope of individuals’ knowledge and other individual capabilities.
Slope reliability analysis using Bayesian optimized convolutional neural networks
Authors: Lin Houlai , Li Liang , Meng Kaiqi , Li Chunli , Xu Liang , Liu Zhiliang , Lu Shibao
Published: August 2022

Purpose

This paper aims to develop an effective framework which combines Bayesian optimized convolutional neural networks (BOCNN) with Monte Carlo simulation for slope reliability analysis.

Design/methodology/approach

The Bayesian optimization technique is firstly used to find the optimal structure of CNN based on the empirical CNN model established in a trial and error manner. The proposed methodology is illustrated through a two-layered soil slope and a cohesive slope with spatially variable soils at different scales of fluctuation.

Findings

The size of training data suite, T, has a significant influence on the performance of trained CNN. In general, a trained CNN with larger T tends to have higher coefficient of determination (R2) and smaller root mean square error (RMSE). The artificial neural networks (ANN) and response surface method (RSM) can provide comparable results to CNN models for the slope reliability where only two random variables are involved whereas a significant discrepancy between the slope failure probability (Pf) by RSM and that predicted by CNN has been observed for slope with spatially variable soils. The RSM cannot fully capture the complicated relationship between the factor of safety (FS) and spatially variable soils in an effective and efficient manner. The trained CNN at a smaller the scale of fluctuation (λ) exhibits a fairly good performance in predicting the Pf for spatially variable soils at higher λ with a maximum percentage error not more than 10%. The BOCNN has a larger R2 and a smaller RMSE than empirical CNN and it can provide results fairly equivalent to a direct Monte Carlo Simulation and therefore serves a promising tool for slope reliability analysis within spatially variable soils.

Practical implications

A geotechnical engineer could use the proposed method to perform slope reliability analysis.

Originality/value

Slope reliability can be efficiently and accurately analyzed by the proposed framework.
Comparative study for multi-variable regression methods based on Laguerre polynomial and manifolds optimization
Authors: Li Zibo , Yan Zhengxiang , Li Shicheng , Sun Guangmin , Wang Xin , Zhao Dequn , Li Yu , Liu Xiucheng
Published: August 2022

Purpose

The purpose of this paper is to overcome the application limitations of other multi-variable regression based on polynomials due to the huge computation room and time cost.

Design/methodology/approach

In this paper, based on the idea of feature selection and cascaded regression, two strategies including Laguerre polynomials and manifolds optimization are proposed to enhance the accuracy of multi-variable regression. Laguerre polynomials were combined with the genetic algorithm to enhance the capacity of polynomials approximation and the manifolds optimization method was introduced to solve the co-related optimization problem.

Findings

Two multi-variable Laguerre polynomials regression methods are designed. Firstly, Laguerre polynomials are combined with feature selection method. Secondly, manifolds component analysis is adopted in cascaded Laguerre polynomials regression method. Two methods are brought to enhance the accuracy of multi-variable regression method.

Research limitations/implications

With the increasing number of variables in regression problem, the stable accuracy performance might not be kept by using manifold-based optimization method. Moreover, the methods mentioned in this paper are not suitable for the classification problem.

Originality/value

Experiments are conducted on three types of datasets to evaluate the performance of the proposed regression methods. The best accuracy was achieved by the combination of cascade, manifold optimization and Chebyshev polynomials, which implies that the manifolds optimization has stronger contribution than the genetic algorithm and Laguerre polynomials.
Development of zero-based budgeting approach for multinational construction contractors
Authors: Kazar Gokhan , Mutlu Ugur , Tokdemir Onur Behzat
Published: August 2022

Purpose

Cost overruns remain a persistent problem in the construction industry. Although various cost management strategies have been implemented, innovative approaches are still required. Therefore, the authors attempted to introduce and test a new cost management strategy for the construction industry.

Design/methodology/approach

Zero-based budgeting (ZBB) is one such method whose effectiveness has been proven in different industries over many years. Therefore, the authors initially developed two different frameworks related to the integration of ZBB into a multinational construction contractor and the application process of ZBB for a construction project in this study. Then, the effectiveness and feasibility of the proposed frameworks are tested via an actual field study in a mega construction project.

Findings

The results show savings of 0.81% of the total project budget and 4.74% of the focused cost items by following the ZBB framework compared to the traditionally estimated project budget. The feedback received from the employees in the construction company shows that ZBB could be efficiently implemented during ongoing construction projects.

Research limitations/implications

The authors believe that implementing new cost management strategies such as ZBB will open doors to deal with the complex cost overrun issues and improve construction cost performances.

Originality/value

This manuscript is the first actual application of the ZBB cost management approach in the construction industry.
For concurrent enrollment, collaboration, not alignment, is the better story
Authors: Scarbrough Burke
Published: August 2022

Purpose

As concurrent enrollment (CE) programs continue to expand in the USA, a growing share of English teaching at the first-year university level is taking place in secondary schools. Though much of the discourse surrounding CE courses relates to quality control, the purpose of this paper is to argue for a reconsideration of the terms by which these courses are valued, calling for a shift from alignment to collaboration as the crucial work for participating English teachers.

Design/methodology/approach

This essay responds to scholarship and primary source documents related to CE programs in light of the author’s experience as liaison for a CE literature course at a Midwestern regional university in the USA.

Findings

An ethic of alignment pervades discourse about CE programs. The quality control promised by this “alignment story” presupposes a stable university course to be aligned with and the emulation of college faculty pedagogy as the high-priority intellectual labor. This alignment story is undermined by the variation within and between on-campus and high school iterations of the literature course. Rather than justifying an alignment ethic, this variation continually renews important questions about what constitutes college-level engagement with literature and how to best help students achieve it in a particular setting. These questions call for deliberation among a community of English teachers, not alignment of one constituency to another.

Originality/value

This essay builds on previous scholarship about the importance of alignment and the opportunity for collaboration in CE by exploring how an emphasis on the former misrecognizes the importance of the latter.
Spatio-temporal vegetation cover analysis to determine climate change in Papua New Guinea
Authors: Sekac Tingneyuc , Jana Sujoy Kumar , Pal Indrajit
Published: August 2022

Purpose

The climate change and related impacts are experienced around the world. There arise different triggering factors to climate change and impact. The purpose of this study is to figure out how changes in vegetation cover may or may not have an impact to climate change. The research will produce ideas for vegetation preservation and replant.

Design/methodology/approach

The investigation was probed for 34 years’ time period starting from the year 1981 to 2015. After testing and checking for serial autocorrelation in the vegetation data series, Mann–Kendal nonparametric statistical evaluation was carried out to investigate vegetation cover trends. Sen’s method was deployed to investigate the magnitude of vegetation cover change in natural differential vegetation index (NDVI) unit per year. Furthermore, the ArcGIS spatial analysis tools were used for the calculation of mean NDVI distribution and also for carrying out the spatial investigation of trends at each specific location within the study region.

Findings

The yearly mean NDVI during the study period was observed to have a decreasing trend. The mean NDVI value ranges between 0.32 and 0.98 NDVI unit, and hence, this means from less or poor vegetated zones to higher or healthier vegetated zones. The mean NDVI value was seen decreasing toward the highlands regions. The NDVI-rainfall correlation was observed to be stronger than the NDVI-temperature correlation. The % area coverage of NDVI-rainfall positive correlation was higher than the negative correlation. The % area coverage of NDVI-temperature negative correlation was higher than the positive correlation within the study region. Rainfall is seen as a highly influencing climatic factor for vegetation growth than the temperature within the study region.

Originality/value

This study in this country is a new approach for climate change monitoring and planning for the survival of the people of Papua New Guinea, especially for the farmer and those who is living in the coastal area.
How instructional leaders promote parental involvement: the Israeli case
Authors: Shaked Haim
Published: August 2022

Purpose

Instructional leadership is an educational leadership approach in which principals are regularly and actively involved in a wide range of activities aimed at improving teaching and learning. The current study sought to answer how the principal's role in promoting parental involvement is part of their instructional leadership responsibility.

Design/methodology/approach

Data were collected through semi-structured interviews with 24 Israeli principals. Data analysis was a three-step process: sorting, coding, and categorizing.

Findings

This study revealed that principals encouraged two types of parental involvement: academic-oriented, designed to support student learning and achievement, and non-academic-oriented, designed to accomplish other goals. From the instructional leadership perspective, principals should mainly prioritize academic-oriented parental involvement. Implications and further research are discussed.

Originality/value

The question of how the role of principals in encouraging parental involvement can become a part of principals' instructional leadership has not yet been explored. The present study narrows this gap in the existing research literature.
Promoting workplace inclusion and self-efficacy among skilled migrant workers in Australia
Authors: Ng Eddy S. , Rajendran Diana , Waheduzzaman Wahed
Published: August 2022

Purpose

Although skilled migrants have a high capacity for integration, many report experiences of exclusion which impacts their ability to contribute fully to the host country. This experience of exclusion, which can diminish their self-efficacy at work, is especially acute for skilled migrants from non-English speaking backgrounds when functioning in a new or exclusionary environment. In this paper, we explore the relationship between workplace inclusion and self-efficacy and identify factors that contribute to perceived inclusion for skilled migrant workers.

Design/methodology/approach

Participants were recruited through social network groups representing migrant workers via LinkedIn. Through snowball sampling, participants were asked to recommend recent (3–5 years) skilled migrants to participate. A total of 210 skilled migrant workers to Australia completed the survey. Structural equation modelling (SEM) is used to test our model on the relationship between inclusion and self-efficacy.

Findings

Migrants' perceptions of inclusion at work are related to their self-efficacy at work. We also find that some dimensions of inclusion are more important than others in enhancing self-efficacy for skilled migrants. Meaningful exchanges with supervisors, a sense of belonging at work and workgroup cohesion (being accepted by co-workers) are more important than senior management support or getting involved in organizational social activities as determinants of perceived inclusion.

Social implications

Although skilled migrants are often assumed to be a self-select group of highly motivated, high achieving workers, many experience poor adjustment and feel excluded after arriving in the host country. Public policies have limited effects in promoting inclusion of skilled migrant workers in organizations. These policies may be supplemented with an inclusive organizational climate to improve migrant worker success. Organizations and employers are thus critical partners in fostering migrant workers' sense of inclusion and supporting the career outcomes of skilled migrant workers in the host country.

Originality/value

This study supports the link between perceived inclusion and self-efficacy among skilled migrant workers. It also sharpens the evidence of organizational-level factors that contribute to perceived inclusion for migrant workers.
Feverish sentiment, lockdown stringency, oil volatility, and clean energy stocks during COVID-19 pandemic
Authors: Solarin Sakiru Adebola , Gorus Muhammed Sehid , Yilanci Veli
Published: August 2022

Purpose

This study seeks to investigate role of the coronavirus disease 2019 (COVID-19) pandemic on clean energy stocks for the United States for the period 21 January 2020–16 August 2021.

Design/methodology/approach

At the empirical stage, the Fourier-augmented vector autoregression approach has been used.

Findings

According to the empirical results, the response of the clean energy stocks to the feverish sentiment, lockdown stringency, oil volatility, dirty assets, and monetary policy dies out within a short period of time. In addition, the authors find that there is a unidirectional causality from the feverish sentiment index and the lockdown stringency index to the clean energy stock returns; and from the monetary policy to the clean energy stocks. At the same time, there is a bidirectional causality between the lockdown stringency index and the feverish sentiment index. The empirical findings can be helpful to both practitioners and policy-makers.

Originality/value

Among the COVID-19 variables used in this study is a new feverish sentiment index, which has been constructed using principal component analysis. The importance of the feverish sentiment index is that it allows us to examine the impact of the aggregate level of fear in the economy on clean energy stocks.
When servitized manufacturers globalise: becoming a provider of global services
Authors: Kreye Melanie E.
Published: August 2022

Purpose

To increase the global competitiveness of their service business, servitized manufacturers transition towards global services. Yet, the literature has not addressed this development. This study is one of the first to investigate how servitized manufacturers can manage the globalisation of their service business.

Design/methodology/approach

The study explores two cases of servitized manufacturers that transitioned from a local organisation of multi-domestic international services to a global-service organisation. The data were collected via semi-structured interviews, observations, and secondary sources.

Findings

The authors identify four elements of global service provision: operating model, global performance management, relationship governance, and staffing and employee development. The authors discuss each element and the connections between them, which the authors summarise in a proposed framework for global service provision.

Originality/value

The contributions of this research relate to the proposed framework of global service provision, which extends current conceptualisation of globalisation of routine services. The authors show the unique elements of global service provision of servitized manufacturers and discuss the theoretical and practical implications of the work.
Analysis of seepage and lubrication characteristics of bilayer porous bearing under mixed lubrication
Authors: Zhang Guotao , Cai Weijie , Wang Xiaoyi , Xu Junpeng , Yin Yanguo , Wei Xicheng
Published: August 2022

Purpose

The purpose of this paper is to put forward the lubrication model of oil bearing and enrich the design theory under the condition of mixed lubrication.

Design/methodology/approach

A mixed lubrication model of bilayer porous bearing is established. The effects of the working conditions on the lubrication performance and seepage behavior were analyzed.

Findings

Results show that the oil film pressure mainly occurs in the bearing convergence zone and contact pressure mainly occurs near the minimum film thickness. The oil infiltrates into the porous matrix in the contact area and precipitates out to the friction surface at the inlet of the contact area. The oil seepage velocity and dynamic pressure effect at the friction interface can be improved by reasonably matching the load and speed. With the decrease of the external load or increase of the rotating speed, the lubrication performance becomes well.

Originality/value

This study provides a reference for the design and application of oil bearing under harsh working conditions.
Are you willing to forgive AI? Service recovery from medical AI service failure
Authors: Chen Aihui , Pan Yueming , Li Longyu , Yu Yunshuang
Published: August 2022

Purpose

As an emerging technology, medical artificial intelligence (AI) plays an important role in the healthcare system. However, the service failure of medical AI causes severe violations to user trust. Different from other services that do not involve vital health, customers' trust toward the service of medical AI are difficult to repair after service failure. This study explores the links among different types of attributions (external and internal), service recovery strategies (firm, customer, and co-creation), and service recovery outcomes (trust).

Design/methodology/approach

Empirical analysis was carried out using data (N = 338) collected from a 2 × 3 scenario-based experiment. The scenario-based experiment has three stages: service delivery, service failure, and service recovery. The attribution of service failure was divided into two parts (customer vs. firm), while the recovery of service failure was divided into three parts (customer vs. firm vs. co-creation), making the design full factorial.

Findings

The results show that (1) internal attribution of the service failure can easily repair both affective-based trust (AFTR) and cognitive-based trust (CGTR), (2) co-creation recovery has a greater positive effect on AFTR while firm recovery is more effective on cognitive-based trust, (3) a series of interesting conclusions are found in the interaction between customers' attribution and service recovery strategy.

Originality/value

The authors' findings are of great significance to the strategy of service recovery after service failure in the medical AI system. According to the attribution type of service failure, medical organizations can choose a strategy to more accurately improve service recovery effect.
Asset pricing in global scenario: a bibliometric analysis
Authors: Keshari Aditya , Gautam Amit
Published: August 2022

Purpose

This study aims to organise and present the development of asset pricing models in the international environment. The stock market integration and cross-listing lead us to another objective of bibliometric analysis for “International Asset Pricing” to provide a complete overview and give scope and directions for future research.

Design/methodology/approach

Web of Science database is used to search with “International Asset Pricing.” Of 3,438 articles, 2,487 articles are selected for the final bibliometric analysis. Various research such as citation analysis, keyword analysis, author’s and corresponding author's analysis have been conducted.

Findings

The bibliometric analysis finds that the USA comes out to be the country where the maximum research was conducted on the topic. The keyword analysis was also analysed to evaluate the significant areas of the research. Risk, return and international asset pricing are the most frequently used keywords. The year 2020 has the maximum number of published research articles and citations due to the change in the market structure worldwide and the effect of Covid-19 across the world.

Originality/value

The present paper provides the collection, classification and comprehensive analysis of “International Asset pricing,” which may help the academicians, researchers and practitioners for future research for the relevant subject area.
Scientific accompaniment: a new model for integrating program development, evidence and evaluation
Authors: Lannen Patricia , Jones Lisa
Published: August 2022

Purpose

Calls for the development and dissemination of evidence-based programs to support children and families have been increasing for decades, but progress has been slow. This paper aims to argue that a singular focus on evaluation has limited the ways in which science and research is incorporated into program development, and advocate instead for the use of a new concept, “scientific accompaniment,” to expand and guide program development and testing.

Design/methodology/approach

A heuristic is provided to guide research–practice teams in assessing the program’s developmental stage and level of evidence.

Findings

In an idealized pathway, scientific accompaniment begins early in program development, with ongoing input from both practitioners and researchers, resulting in programs that are both effective and scalable. The heuristic also provides guidance for how to “catch up” on evidence when program development and science utilization are out of sync.

Originality/value

While implementation models provide ideas on improving the use of evidence-based practices, social service programs suffer from a significant lack of research and evaluation. Evaluation resources are typically not used by social service program developers and collaboration with researchers happens late in program development, if at all. There are few resources or models that encourage and guide the use of science and evaluation across program development.
Innovating peer review, reconfiguring scholarly communication: an analytical overview of ongoing peer review innovation activities
Authors: Kaltenbrunner Wolfgang , Pinfield Stephen , Waltman Ludo , Woods Helen Buckley , Brumberg Johanna
Published: August 2022

Purpose

The study aims to provide an analytical overview of current innovations in peer review and their potential impacts on scholarly communication.

Design/methodology/approach

The authors created a survey that was disseminated among publishers, academic journal editors and other organizations in the scholarly communication ecosystem, resulting in a data set of 95 self-defined innovations. The authors ordered the material using a taxonomy that compares innovation projects according to five dimensions. For example, what is the object of review? How are reviewers recruited, and does the innovation entail specific review foci?

Findings

Peer review innovations partly pull in mutually opposed directions. Several initiatives aim to make peer review more efficient and less costly, while other initiatives aim to promote its rigor, which is likely to increase costs; innovations based on a singular notion of “good scientific practice” are at odds with more pluralistic understandings of scientific quality; and the idea of transparency in peer review is the antithesis to the notion that objectivity requires anonymization. These fault lines suggest a need for better coordination.

Originality/value

This paper presents original data that were analyzed using a novel, inductively developed, taxonomy. Contrary to earlier research, the authors do not attempt to gauge the extent to which peer review innovations increase the “reliability” or “quality” of reviews (as defined according to often implicit normative criteria), nor are they trying to measure the uptake of innovations in the routines of academic journals. Instead, they focus on peer review innovation activities as a distinct object of analysis.
Public-school infrastructure ageing and current challenges in maintenance
Authors: Herath Nilupa , Duffield Colin , Zhang Lihai
Published: August 2022

Purpose

School infrastructure is one of critical factors that significantly contribute to the educational outcomes, and therefore, maintaining the high quality of school infrastructure becomes of critical importance. Due to the ageing of school assets over time in combination with budget constraint and rapid growth of student enrolment, many public schools are currently struggling to maintain the required standard for long term. However, to date, the goal of providing the best maintenance practices to public schools has not been achieved.

Design/methodology/approach

The present study focuses on studying the balance between the asset and maintenance management strategies and the funding model through conducting state-of-the-art literature review and qualitative analysis in the context of public schools in Australia and other developed countries around the world. Review of journal articles, different government reports and other available resources were used to collect and analyse the data in this study.

Findings

As part of this review, significant under investment in maintenance and asset renewals were identified as main challenges in asset management in public school facilities. Although different maintenance strategies were used in school infrastructure, adequate funding, adequate robust asset management plans (AMPs) and the involvement of private sectors have been identified as the key factors that govern the success in school infrastructure maintenance. It also shows that funding of approximately 2–3% of asset replacement value (ARV) on school infrastructure is required to maintain school facilities for long-term. Further, the procurement methods such as public private partnership including private finance initiatives (PFIs) have shown great improvements in maintenance process in school infrastructure.

Originality/value

The study provides a review of different AMPs and funding models in school infrastructure and their efficiencies and shortcoming in detail. Different states and countries use different maintenance models, and challenges associated with each model were also discussed. Further this study also provides some conclusive evidence for better maintenance performance for school buildings.
Weather index insurance viability in mitigation of climate change impact risk: a systematic review and future agenda
Authors: Singh Pankaj
Published: August 2022

Purpose

The purpose of the present paper is to review studies on weather index-insurance as a tool to manage the climate change impact risk on farmers and to explore the study gaps in the currently existing literature by using a systematic literature review.

Design/methodology/approach

This study analyzed and reviewed the 374 articles on weather index insurance (WII) based on a systematic literature search on Web of Science and Scopus databases by using the systematic literature review method.

Findings

WII studies shifted their focus on growing and emerging areas of climate change impact risk. The finding shows that the impact of climate change risk significantly influenced the viability of WII in terms of pricing and design of WII. Therefore, the cost of WII premium increases due to the uncertainty of climate change impact that enhances the probability of losses related to insured weather risks. However, WII has emerged as a risk management tool of climate insurance for vulnerable agrarian communities. The efficacy of WII has been significantly influenced by repetitive environmental disasters and climate change phenomena.

Research limitations/implications

This study will be valuable for scholars to recognize the missing and emerging themes in WII.

Practical implications

This study will help the policy planners to understand the influence of climate change impact on WII viability.

Originality/value

This study is the original work of the author. An attempt has been made in the present study to systematically examine the viability of WII for insuring the climate change risk.