bluuebunny/crossref_metadata_2025 huggingface dataset:
Structure and engineering of miniatureAcidibacillus sulfuroxidansCas12f1
Authors: Wu Zhaowei , Liu Dongliang , Pan Deng , Yu Haopeng , Shi Jin , Ma Jiacheng , Fu Wenhan , Wang Zhipeng , Zheng Zijie , Qu Yannan , Li Fan , Chen Weizhong , Huang Xingxu , Shen Huaizong , Ji Quanjiang
Published: July 2023

The miniature CRISPR-Cas12f nucleases allow for efficient delivery via cargo-size-limited adeno-associated virus delivery vehicles, thereby showing promising potential for in vivo therapeutic applications.Acidibacillus sulfuroxidansCas12f1 (AsCas12f1, 422 amino acids) is the most compact Cas12f nuclease identified to date, showing a moderate level of genome-editing activity in human cells compared to Cas9 and Cas12a. Understanding the mechanisms of why such a compact nuclease is active for genome editing would facilitate its rational engineering. Here, we report the cryo-EM structure of the AsCas12f1-sgRNA-dsDNA ternary complex, and reveal that AsCas12f1 functions as an asymmetric dimer for single-guide RNA (sgRNA) binding and DNA targeting. The detailed mechanisms for dimer formation, PAM recognition, and sgRNA accommodation are elucidated. Leading by the structural knowledge, we extensively engineer the AsCas12f1 nuclease and its corresponding sgRNA, resulting in an evolved AsCas12f1-sgRNA combination with drastically enhanced genome editing activity in human cells. These results provide further understanding of compact CRISPR systems and expand the mini CRISPR toolbox for therapeutic applications.
Attentional modulation of the cortical contribution to the frequency-following response evoked by continuous speech
Authors: Schüller Alina , Schilling Achim , Krauss Patrick , Rampp Stefan , Reichenbach Tobias
Published: July 2023

Selective attention to one of several competing speakers is required for comprehending a target speaker amongst other voices and for successful communication with them. Selective attention has been found to involve the neural tracking of low-frequency speech rhythms in the auditory cortex. Effects of selective attention have also been found in subcortical neural activities, in particular regarding the high-frequency neural response at the fundamental frequency of speech, the speech-FFR. Recent investigations have, however, shown that the speech-FFR contains cortical contributions as well. It remains unclear whether these are also modulated by selective attention. Here we employed magnetoencephalography (MEG) to assess the attentional modulation of the cortical contributions to the speech-FFR. We presented participants with two competing speech signals and analyzed the cortical responses during attentional switching between the two speakers. Our findings revealed robust attentional modulation of the cortical contribution to the speech-FFR: the neural responses were higher when the speaker was attended than when they were ignored. We also found that, regardless of attention, a voice with a lower fundamental frequency elicited a larger cortical contribution to the speech-FFR than a voice with a higher fundamental frequency. Our results show that the attentional modulation of the speech-FFR does not only occur subcortically but extends to the auditory cortex as well.
Feature selection by replicate reproducibility and non-redundancy
Authors: Capraz Tümay , Huber Wolfgang
Published: July 2023

Motivation

A fundamental step in many analyses of high-dimensional data is dimension reduction. Two basic approaches are introduction of new, synthetic coordinates, and selection of extant features. Advantages of the latter include interpretability, simplicity, transferability and modularity. A common criterion for unsupervised feature selection is variance or dynamic range. However, in practice it can occur that high-variance features are noisy, that important features have low variance, or that variances are simply not comparable across features because they are measured in unrelated numeric scales or physical units. Moreover, users may want to include measures of signal-to-noise ratio and non-redundancy into feature selection.

Results

Here, we introduce the RNR algorithm, which selects features based on (i) the reproducibility of their signal across replicates and (ii) their non-redundancy, measured by linear independence. It takes as input a typically large set of features measured on a collection of objects with two or more replicates per object. It returns an ordered list of featuresi1,i2, …,ik, where featurei1is the one with the highest reproducibility across replicates,i2that with the highest reproducibility across replicates after projecting out the dimension spanned byi1, and so on. Applications to microscopy based imaging of cells and proteomics experiments highlight benefits of the approach.

Availability

The RNR method is implemented in the R packageFeatSeekRand is available via Bioconductor (Huberet al., 2015) under the GPL-3 open source license.

Contact

tuemay.capraz@embl.de
Predictive toxicology of chemical mixtures using proteome-wide thermal profiling and protein target properties
Authors: Lizano-Fallas Veronica , del Amor Ana Carrasco , Cristobal Susana
Published: July 2023

Our capability to predict the impact of exposure to chemical mixtures on environmental and human health is limited in comparison to the advances on the chemical characterization of the exposome. Current approaches, such as new approach methodologies, rely on the chemical mixture characterization and the available toxicological knowledge of individual compounds or similar mixtures. In this study, we show a new methodological approach for assessment of chemical mixtures based on a proteome-wide identification of the protein targets and revealing the relevance of new targets based on their role in the cellular crosstalk. We applied a proteome integral solubility alteration assay to identify 24 protein targets from a chemical mixture of 2,3,7,8- tetrachlorodibenzo-p-dioxin, alpha-endosulfan, and bisphenol A among the HepG2 soluble proteome, and validated the chemical mixture-target interaction orthogonally. To define the range of interactive capability of the new targets, the data from intrinsic properties of the targets were retrieved. Introducing the target properties as criteria for a multi-criteria decision-making analysis called the analytical hierarchy process, the prioritization of targets was based on their involvement in multiple pathways. This methodological approach that we present here opens a more realistic and achievable scenario to address the impact of complex and uncharacterized chemical mixtures in biological systems.

SYNOPSIS

Methods for unbiased identification of protein targets of chemical mixtures and prediction of their impact in human and environmental health.
“Divergence and gene flow history at two large chromosomal inversions involved in long-snouted seahorse ecotype formation”
Authors: Meyer Laura , Barry Pierre , Riquet Florentine , Foote Andrew , Der Sarkissian Clio , Cunha Regina , Arbiol Christine , Cerqueira Frédérique , Desmarais Erick , Bordes Anaïs , Bierne Nicolas , Guinand Bruno , Gagnaire Pierre-Alexandre
Published: July 2023

Chromosomal inversions can play an important role in divergence and reproductive isolation by building and maintaining distinct allelic combinations between evolutionary lineages. Alternatively, they can take the form of balanced polymorphisms that segregate within populations over time until one arrangement becomes fixed. Many questions remain about how these different inversion polymorphisms arise, how the mechanisms responsible for their long-term maintenance interact, and ultimately how they contribute to speciation. The long-snouted seahorse (Hippocampus guttulatus) is known to be subdivided into partially isolated lineages and marine-lagoon ecotypes differentiated by structural variation. Here, we aim to characterise these differences along the entire genome, and to reconstruct their history and role in ecotype formation. We generated a near chromosome-level reference genome assembly and described genome-wide patterns of diversity and divergence through the analysis of 112 whole-genome sequences from Atlantic, Mediterranean, and Black Sea populations. Combined with linked-read sequencing data, we found evidence for two megabase-scale chromosomal inversions showing contrasted allele frequency patterns across the species range. We reveal that these inversions represent ancient intraspecific polymorphisms, one being likely maintained by divergent selection, and the other by associative overdominance. Haplotype combinations characterising Mediterranean ecotypes also suggest the existence of potential interactions between the two inversions, possibly driven by environment-dependent fitness effects. Lastly, we detected gene flux eroding divergence between inverted alleles at varying levels between the two inversions, with a likely impact on their long-term dynamics.
Human vagus nerve fascicular anatomy: a microCT segmentation and histological study
Authors: Thompson Nicole , Mastitskaya Svetlana , Iacoviello Francesco , Shearing Paul R. , Aristovich Kirill , Holder David
Published: July 2023

Background

Previous research has revealed the logical mapping of fascicles in both human somatic and pig vagus nerves, but the organization of fascicles within the human vagus nerve remains largely unknown. Understanding its fascicular arrangement would significantly advance our knowledge of the autonomic nervous system and facilitate studies and application of selective vagus nerve stimulation to avoid off-target effects. The purpose of this study was to trace the thoracic branches of human vagus nerves, investigate their fascicular organization, and analyze the nerves histologically and morphologically.

Methods

Both left and right vagus nerves were dissected from human cadavers, preserving the cardiac, recurrent laryngeal, and pulmonary branches. The nerves were prepared, scanned using microCT, and the fascicles segmented and traced from their branching points. Histology and immunohistochemistry were performed for morphological analysis and validation of the microCT segmentation. The data was then analyzed and compared between nerves.

Results

The organization of the cardiac, pulmonary, and recurrent laryngeal fascicles was observed for a short distance from their entry point into the nerves. Initially, left vagus nerves showed merging of cardiac and pulmonary fascicles, while the recurrent laryngeal fascicles remained separate. In right vagus nerves, the cardiac fascicles merged with both pulmonary and recurrent laryngeal fascicles. MicroCT imaging limitations prevented visualization and tracing of fiber organization within merged fascicles. Immunohistochemistry and morphological analysis revealed that right vagus nerves were larger and had more fascicles than the left and fascicle counts varied along the nerve, indicating anastomoses. The superior cardiac branch was separate from other fascicles near the VNS cuff placement.

Conclusions

It is possible that organ-specific fibers may still retain some spatial organization despite most fascicles being merged at cervical level. However, fiber tracing andin vivostudies could provide valuable information beyond microCT to resolve this further. The separate superior cardiac fascicles offer potential for targeted neuromodulation of the heart, benefiting conditions like myocardial infarction, heart failure, and atrial fibrillation. Overall, the study provides insights into the morphology and anatomy of human vagus nerves. Our findings thereby contribute to the development of selective vagus nerve stimulation strategies for more precise autonomic regulation.
Synaptogyrin regulates neuronal activity dependent autophagy to degrade synaptic vesicle components and pathological Tau
Authors: Hernandez-Diaz Sergio , Martinez-Olondo Pilar , Sanchez-Mirasierra Irene , Montecinos Carla , Ghimire Saurav , Soukup Sandra-Fausia
Published: July 2023

Synapses are specialized neuronal compartments essential for brain communication. Neuronal communication mostly relies on the adequate supply and renovation of synaptic vesicles that fuse with the plasma membrane and release neurotransmitters in response to action potentials. Autophagy is an evolutionary conserved cellular mechanism essential for homeostasis that can be locally regulated in the neuronal synapse. However, the precise mechanisms controlling synaptic autophagy, especially during neuronal communication and pathological scenarios, remain elusive. Here, we report that neuronal activity and amino-acid deprivation regulate synaptic autophagy via distinct molecular mechanisms. We show that Synaptogyrin, a highly abundant presynaptic protein found in synaptic vesicles, is a novel negative regulator of synaptic autophagy in response to neuronal activity without affecting autophagy induction via amino-acid deprivation. We demonstrate that loss of Synaptogyrin modifies the localization of the autophagy protein Atg9 and boosts autophagosome formation at the synapse. Furthermore, activation of synaptic autophagy by loss of Synaptogyrin, but not by amino acid deprivation, leads to the degradation of synaptic vesicle components via autophagy. Reducing the levels of Synaptogyrin results in the degradation of synaptic TAU via autophagy and restores autophagy dysfunction observed in aDrosophilaTau model of Frontotemporal Dementia (FTD). Our data provide novel and valuable information to understand how autophagy is regulated at the synapse in response to neuronal activity and how this process participates in neuronal (dys)function.
Cancer-specific association between Tau (MAPT) and cellular pathways, clinical outcome, and drug response
Authors: Callari Maurizio , Sola Martina , Magrin Claudia , Rinaldi Andrea , Bolis Marco , Paganetti Paolo , Colnaghi Luca , Papin Stéphanie
Published: July 2023

Tau (MAPT) is a microtubule-associated protein causing common neurodegenerative diseases or inherited frontotemporal lobar degenerations. Emerging evidence for non-canonical functions of Tau in DNA repair and P53 regulation suggests its involvement in cancer. Indeed, preliminary studies have correlated Tau expression with cancer survival or response to therapies. To bring new evidence for a relevant role of Tau in cancer, we carried out anin silicopan-cancer analysis ofMAPTtranscriptomic profile in over 10000 clinical samples from 32 cancer types and over 1300 pre-clinical samples from 28 cancer types provided by the TCGA and the DEPMAP datasets respectively.MAPTexpression associated with key cancer hallmarks including inflammation, proliferation, and epithelial to mesenchymal transition, showing cancer-specific patterns. In some cancer types,MAPTfunctional networks were affected by P53 mutational status. We identified new associations ofMAPTwith clinical outcomes and drug response in a context-specific manner. Overall, our findings indicate that theMAPTgene is a potential major player in multiple types of cancer. Importantly, the impact of Tau on cancer seems to be heavily influenced by the specific cellular environment.
The lncRNA TRG-AS1 promotes the growth of colorectal cancer cells through the regulation of P2RY10/GNA13
Authors: Zhuang Lin , Luo Baoyang , Deng Linghui , Zhang Qi , Li Yuanjiu , Sun Donglin , Zhang Hua , Zhang Qiutao
Published: July 2023

Purpose

The lncRNA TRG-AS1 and its co-expressed gene P2RY10 are important for colorectal cancer (CRC) occurrence and development. The purpose of our research was to explore the roles of TRG-AS1 and P2RY10 in CRC progression.

Methods

The abundance of TRG-AS1 and P2RY10 was determined in CRC cell lines. LoVo cells were transfected with si-TRG-AS1 and si-P2RY10 constructs. Subsequently, the viability, colony formation, and migration of the transfected cells were analyzed using cell counting kit-8, clonogenicity, and scratch-wound/Transwell® assays, respectively. Cells overexpressing GNA13 were used to further explore the relationship between TRG-AS1 and P2RY10 along with their downstream functions. Finally, nude mice were injected with different transfected cell types to observe tumor formationin vivo.

Results

TRG-AS1 and P2RY10 were significantly upregulated in HT-29 and LoVo compared to FHC cells. TRG-AS1 knockdown and P2RY10 silencing suppressed the viability, colony formation, and migration of LoVo cells. TRG-AS1 knockdown downregulated the expression of P2RY10, GNA12, and GNA13, while P2RY10 silencing downregulated the expression of TRG-AS1, GNA12, and GNA13. Additionally, GNA13 overexpression reversed the cell growth and gene expression changes in LoVo cells induced by TRG-AS1 knockdown or P2RY10 silencing.In vivoexperiments revealed that CRC tumor growth was suppressed by TRG-AS1 knockdown and P2RY10 silencing.

Conclusions

TRG-AS1 knockdown repressed the growth of CRC cells by regulating P2RY10 and GNA13 expression, thereby controlling CRC occurrence and development.
The hippocampus assumes a special role in supporting abstract concept representation
Authors: Kafkas Alex , Mayes Andrew R. , Montaldi Daniela
Published: July 2023

Unlike images, words are representational symbols. The associative details inherent within a word’s meaning and the visual imagery it generates, are inextricably connected to the way words are processed and represented. It is well recognised that the hippocampus associatively binds components of a memory to form a lasting representation, and here we show that the hippocampus is especially sensitive to abstract word processing. Using fMRI during recognition we found that the increased abstractness of words produced increased hippocampal activation and that critically this was independent of memory. Interestingly, word recollection produced hippocampal activation independent of word abstractness, while the parahippocampal cortex was sensitive to concrete word representation, independent of memory. We reason that the hippocampus has assumed a critical role in the representation of uncontextualized abstract word meaning, as its information-binding ability allows the retrieval of the semantic and visual associates that, when bound together, generate the abstract concept represented by word symbols. These novel findings not only offer insights for research drawing on word representation, memory, and hippocampal integrity, but critically, they throw important light on how the human brain may have adapted to encode and represent abstract words and concepts as they emerged in our language.
On minimising tumoural growth under treatment resistance
Authors: Fischer Matthias M. , Blüthgen Nils
Published: July 2023

Abstract

Drug resistance is a major challenge for curative cancer treatment, representing the main reason of death in patients. Evolutionary biology suggests pauses between treatment rounds as a way to delay or even avoid resistance emergence. Indeed, this approach has already shown promising preclinical and early clinical results, and stimulated the development of mathematical models for finding optimal treatment protocols. Due to their complexity, however, these models do not lend themself to a rigorous mathematical analysis, hence so far clinical recommendations generally relied on numerical simulations and ad-hoc heuristics. Here, we derive two mathematical models describing tumour growth under genetic and epigenetic treatment resistance, respectively, which are simple enough for a complete analytical investigation. First, we find key differences in response to treatment protocols between the two modes of resistance. Second, we identify the optimal treatment protocol which leads to the largest possible tumour shrinkage rate. Third, we fit the ”epigenetic model” to previously published xenograft experiment data, finding excellent agreement, underscoring the biological validity of our approach. Finally, we use the fitted model to calculate the optimal treatment protocol for this specific experiment, which we demonstrate to cause curative treatment, making it superior to previous approaches which generally aimed at stabilising tumour burden. Overall, our approach underscores the usefulness of simple mathematical models and their analytical examination, and we anticipate our findings to guide future preclinical and, ultimately, clinical research in optimising treatment regimes.
Background optimization of powder electron diffraction for implementation of the e-PDF technique and study of the local structure of iron oxide nanocrystals
Authors: Mogili Naga Vishnu Vardhan , Verissimo Nathália Carolina , Abeykoon A. M. Milinda , Bozin Emil S. , Bettini Jefferson , Leite Edson Roberto , Souza Junior João Batista
Published: July 2023

The local structural characterization of iron oxide nanoparticles is explored using a total scattering analysis method known as pair distribution function (PDF) (also known as reduced density function) analysis. The PDF profiles are derived from background-corrected powder electron diffraction patterns (the e-PDF technique). Due to the strong Coulombic interaction between the electron beam and the sample, electron diffraction generally leads to multiple scattering, causing redistribution of intensities towards higher scattering angles and an increased background in the diffraction profile. In addition to this, the electron–specimen interaction gives rise to an undesirable inelastic scattering signal that contributes primarily to the background. The present work demonstrates the efficacy of a pre-treatment of the underlying complex background function, which is a combination of both incoherent multiple and inelastic scatterings that cannot be identical for different electron beam energies. Therefore, two different background subtraction approaches are proposed for the electron diffraction patterns acquired at 80 kV and 300 kV beam energies. From the least-square refinement (small-box modelling), both approaches are found to be very promising, leading to a successful implementation of the e-PDF technique to study the local structure of the considered nanomaterial.
Magicians, unicorns or data cleaners? Exploring the identity narratives and work experiences of data scientists
Authors: Goretzki Lukas , Messner Martin , Wurm Maria
Published: July 2023

Purpose

Data science promises new opportunities for organizational decision-making. Data scientists arguably play an important role in this regard and one can even observe a certain “buzz” around this nascent occupation. This paper enquires into how data scientists construct their occupational identity and the challenges they experience when enacting it.

Design/methodology/approach

Based on semi-structured interviews with data scientists working in different industries, the authors explore how these actors draw on their educational background, work experiences and perception of the contemporary digitalization discourse to craft their occupational identities.

Findings

The authors identify three main components of data scientists’ occupational identity: a scientific mindset, an interest in sophisticated forms of data work and a problem-solving attitude. The authors demonstrate how enacting this identity is sometimes challenged through what data scientists perceive as either too low or too high expectations that managers form towards them. To address those expectations, they engage in outward-facing identity work by carrying out educational work within the organization and (paradoxically) stressing both prestigious and non-prestigious parts of their work to “tame” the ambiguity and hype they perceive in managers’ expectations. In addition, they act upon themselves to better appreciate managers’ perspectives and expectations.

Originality/value

This study contributes to research on data scientists as well as the accounting literature that often refers to data scientists as new competitors for accountants. It cautions scholars and practitioners alike to be careful when discussing the possibilities and limitations of data science concerning advancements in accounting and control.
A decade of integrated reporting studies: state of the art and future research implications
Authors: Songini Lucrezia , Pistoni Anna , Comerio Niccolò , Tettamanzi Patrizia
Published: July 2023

Purpose

Over the past decade, researchers have witnessed an exponential growth in the number of publications on IR. This paper aims to understand the state of the art of the research field and to highlight the areas where further academic research is needed, guiding developments in theory, research, policy and practices.

Design/methodology/approach

The authors apply the dynamic literature review method called “Systematic Literature Network Analysis”, which combines systematic literature review and bibliographic network analysis. Furthermore, to overcome some of the limitations connected to the methodology, the authors integrate the literature with a manual content analysis of papers.

Findings

IR adoption and practices and their determinants represent the most analyzed aspects of literature. Over time, attention has been paid to more specific issues, such as the relationship between IR and other disclosure mechanisms, IR quality and its assurance, the critical analysis of the IR framework and principles and difficulties in IR adoption. Although the literature on IR can be considered to be in its mature stage, many aspects are still under-researched, so there is plenty of space for future research.

Originality/value

The authors propose the following main issues as subjects to be investigated in future studies: IR is not simply an evolution of sustainability reporting, but an innovative communication tool; the debate on who the recipients of value are (shareholders or stakeholders) and on what the definition of value adopted by IR is still remains an open issue; more attention should be given to the role of IR as a managerial tool, which could support strategy formation and communication, and influence internal processes of performance measurement and evaluation; what the future of IR will be in light of recent EU Corporate Sustainability Reporting Directive and new ISSB's standards is still an open question. From a methodological perspective, little is known about structured approaches in accounting studies. The authors confirm how methodologies, such as that of this paper, may be exploited as a tool to support dynamic analysis for setting the agendas for future studies in the accounting field.
Integrating ISS and SOR models to investigate the determinants of continuance intention toward using m-payment for donations (Sadaqah): the moderating role of Islamic religiosity
Authors: Elsotouhy Mohamed M. , Mobarak Abdelkader M. A. , Dakrory Mona I. , Ghonim Mohamed A. , Khashan Mohamed A.
Published: July 2023

Purpose

Despite the significance of donations (Sadaqah) via mobile payment in Islamic countries, little is known about the variables influencing continuance intention toward using m-payment for donations (Sadaqah). Based on the stimulus-organism-response (S-O-R) model, this research explores the influence of perceived quality (i.e. system, information, service) as a stimulus on customer satisfaction, engagement and delight as organisms, which then affects continuance intention toward using m-payment for donations (Sadaqah) as a response. Moreover, the study investigates the moderating role of Islamic religiosity.

Design/methodology/approach

Using partial least squares structural equation modeling (PLS-SEM), a representative data sample of 419 Egyptian Muslims was analyzed to test hypotheses.

Findings

The findings revealed that all perceived quality constructs significantly positively affect customers' satisfaction. Customer satisfaction, in turn, positively affects customer engagement and delight. Moreover, customer engagement, delight and Islamic religiosity significantly positively affect continuance intention toward using m-payment for donations (Sadaqah). The findings also revealed that Islamic religiosity moderates the influence of customer engagement and customer delight on continuance intention toward using m-payment for donations (Sadaqah).

Originality/value

This is the first study to examine using m-payment for donations (Sadaqah) in an Islamic environment based on the S-O-R model.
Negative electricity prices as a signal for lacking flexibility? On the effects of demand flexibility on electricity prices
Authors: Halbrügge Stephanie , Heess Paula , Schott Paul , Weibelzahl Martin
Published: July 2023

Purpose

The purpose of this paper is to examine how active consumers, i.e. consumers that can inter-temporally shift their load, can influence electricity prices. As demonstrated in this paper, inter-temporal load shifting can induce negative electricity prices, a recurring phenomenon on power exchanges.

Design/methodology/approach

The paper presents a novel electricity-market model assuming a nodal-pricing, energy-only spot market with active consumers. This study formulates an economic equilibrium problem as a linear program and uses an established six-node case study to compare equilibrium prices of a model with inflexible demand to a model with flexible demand of active consumers.

Findings

This study illustrates that temporal coupling of hourly market clearing through load shifting of active consumers can cause negative electricity prices that are not observed in a model with ceteris paribus inflexible demand. In such situations, where compared to the case of inflexible demand more flexibility is available in the system, negative electricity prices signal lower total system costs. These negative prices result from the use of demand flexibility, which, however, cannot be fully exploited due to limited transmission capacities, respectively, loop-flow restrictions.

Originality/value

Literature indicates that negative electricity prices result from lacking flexibility. The results illustrate that active consumers and their additional flexibility can lead to negative electricity prices in temporally coupled markets, which in general contributes to increased system efficiency as well as increased use of renewable energy sources. These findings extend existing research in both the area of energy flexibility and causes for negative electricity prices. Therefore, policymakers should be aware of such (temporal coupling) effects and, e.g. continue to allow negative electricity prices in the future that can serve as investment signals for active consumers.
Safeguarding the rights and welfare of the health-care workers amid the pandemic: a social protection approach
Authors: Abdul Wahab Harlida , Abdul Rahim Asmar , Abdullah Nor Anita
Published: July 2023

Purpose

This paper aims to study the elements of social protection, namely, the labour market policy (working conditions), social insurance and social assistance from the law and policy standpoints to safeguard the rights and welfare of the frontline health-care workers (HCWs).

Design/methodology/approach

This study applies both doctrinal and non-doctrinal research methods with the legal and authoritative approaches by integrating the three elements of social protections, which are working conditions, insurance protection and social assistance for the protection of HCWs.

Findings

A pragmatic approach to the social protection system by integrating these elements can safeguard the rights and welfare of the frontline HCWs amid the pandemic. This approach should be made effective for the sustainability of the HCW and health industry in Malaysia.

Practical implications

This paper highlights the significance of initiating and empowering ad hoc approaches through the social protection system for the practical and effective protection of frontline HCWs who are the backbone of the nation, in the event of pandemic COVID-19. These practical needs and approaches are pivotal in response to HCWs demands in workplace.

Originality/value

While social protection commonly aims to address disadvantaged groups and to combat poverty, this research adopts the social protection approach with the aims to safeguard the rights and welfare of frontline HCWs amid the COVID-19 pandemic.
Numerical simulation on startup performance of thrust bearing under different acceleration scenarios
Authors: Gu Chunxing , Dai Li , Zhang Di , Wang Shuwen
Published: July 2023

Purpose

This paper aims to study the startup performance of thrust bearing. The effects of acceleration scenarios, roughness, the area ratio of texture and texture depth on the transient startup performance of the thrust bearing were analyzed.

Design/methodology/approach

The lubrication model is solved by the Reynolds equation with the mass-conservation boundary condition. The Greenwood and Tripp contact model is used to predict asperity contact load. The finite volume method is used to discretize the governing equations.

Findings

By studying the bearing performance with different acceleration functions, it was found that the higher the acceleration at the beginning of the startup, the faster the thrust bearing operates under the hydrodynamic lubrication regime in the start stage. It appears that the friction and contact time of asperity increase with the increasing roughness. The optimal area ratio of texture is within 30%–50%. The depth of texture ranging from 1 to 2 is the best.

Originality/value

This paper proposes a transient mixed lubrication analysis model of the thrust bearing. This model can be used to analyze the variations of tribological performance and lubrication regime of the thrust bearing under different acceleration scenarios.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2022-0268/
Do competent managers increase labor productivity? Evidence from Korea
Authors: Ahn Donghwan , Yoo Shiyong , Cho Seungho
Published: July 2023

This study investigates the effect of managerial ability on labor productivity by analyzing various methods in the firm-year panel data of listed firms in South Korea from 2002 to 2019. Managerial ability was analyzed using the measurement method of Demerjian et al. (2012), while labor productivity was analyzed using value-added and sales. The authors find that managerial ability has a positive effect on labor productivity. In other words, the productivity of employees improves with the appointment of a manager with higher abilities. The study’s findings suggest that firms should consider managerial ability as a means of improving labor productivity.
The use of video remote interpreting (VRI) in a medium secure psychiatric setting during the COVID-19 lockdown
Authors: Trumm Aile , Lau Edward Jun Shing , Farthing Shirley , Breen Kieran
Published: July 2023

Purpose

The COVID-19 pandemic significantly disrupted the lives of the deaf community, and the implementation of restrictions on face-to-face meetings resulted in the trial introduction of video remote interpreting (VRI) in a secure psychiatric setting. This study aims to use a qualitative research paradigm to explore user experiences to inform potential future technological developments in this area.

Design/methodology/approach

Twelve deaf patients and three interpreters took part in structured face-to-face interviews and discussed their experiences of the use of VRI, with the results being assessed using thematic analysis.

Findings

Seven main themes were identified: resource availability, ease of use, technical issues, misunderstandings, medium secure-specific issues, preferences and human factors. All participants agreed that they did not like the VRI technology in the health-care environment in its current format, and their main concern was the difficulty in understanding the information being communicated. It was considered that this had the potential to incur potentially serious medico-legal and safety implications for both staff and patients alike.

Practical implications

This study has provided detailed users’ feedback about the potential future use in this communication tool and can help guide service developers to review the technology design to tailor it towards the users’ needs. While the existing technology is not currently suitable for this deaf population, particularly because of the potential for error, there is potential scope for further research in this area.

Originality/value

The COVID-19 pandemic provided a unique opportunity to explore the potential use of VRI for a deaf patient population within a secure psychiatric setting, where such technology is unlikely to have otherwise been used.
Exposing students to a simulation of the online platform used by the South African revenue service
Authors: du Preez Hanneke , Hill Tanya , Coetzee Liza , Motsamai Lungelo , Stark Karen
Published: July 2023

Purpose

Students completing their tertiary education at a university may be equipped with theoretical knowledge with little to no practical experience. In order to bridge this gap in practical skills, a computer simulation was developed based on the e-filing platform of the South African Revenue Services (SARS). Students were exposed to this self-developed computer simulation to answer the question: to what extent will the e-filing simulation improve students' confidence to practically apply their theoretical knowledge?

Design/methodology/approach

The research applied a pre–post questionnaire research method to gauge the students' ability to apply their theoretical knowledge to a practical scenario before and after the simulation.

Findings

From the results, it is apparent that the students were inspired with confidence in getting to terms with the application of their theoretical knowledge in a real-life scenario. The computer simulation provided the platform for learning to take place in a practical environment without the risk of errors that would translate into real financial consequences.

Originality/value

The contribution of this research can be found in a teaching intervention that may support the training of future tax professionals in practical application skills. The contribution can be extended to the enhancement of education in the field of taxation, particularly with the results' showing that the students experienced high levels of increased confidence in their application of theoretical knowledge to real-life scenarios.
How government subsidies affect technology innovation in the context of Industry 4.0: evidence from Chinese new-energy enterprises
Authors: Li Miaomiao , Cao Guikun , Li Haibo , Hao Zhaoxing , Zhang Lu
Published: July 2023

Purpose

The purpose of this study is to explore how government subsidies influence technology innovation in new-energy enterprises in the new era of Industry 4.0. Specifically, this study investigates the mediating effect of digital transformation and the moderating effect of a top management team (TMT) with digital experience.

Design/methodology/approach

Using a sample of 225 listed new-energy companies, with annual information, patent data, and financial data for the years 2010–2020, this study employs panel fixed effect regression models to obtain the results.

Findings

This study finds strong evidence that government subsidies promote the technology innovation of new-energy enterprises, and digital transformation partially mediates the effect of government subsidies on technology innovation. In addition, a TMT's digital experience moderates the effect of government subsidies on digital transformation, but has no significant moderating effect on the relationship between digital transformation and technology innovation. Further analysis shows that subsidies make a sustained contribution to both digital transformation and technological innovation over the next two years. The digital subsidies have a stronger role in promoting digital transformation and further technological innovation through digital transformation.

Practical implications

The Chinese government needs to continue to intermittently increase subsidies for new-energy enterprises, and focus on guiding enterprises' digital transformation. Chinese new-energy enterprises should pay attention to the importance of having TMTs with digital experience, make full use of government subsidies, actively implement digital transformation, and improve their innovation levels.

Originality/value

A new conceptual framework is proposed to examine the relationships between government subsidies, digital transformation, a TMT's digital experience, and technology innovation. This paper provides an important theoretical basis and practical reference for improving the technology innovation ability of Chinese new-energy enterprises, and the high-quality development of renewable energy in the context of Industry 4.0.
First-hand reports of prolonged social withdrawal: contributing factors, experiences, and change processes
Authors: Hareven Or , Kron Tamar , Roe David , Koren Danny
Published: July 2023

Purpose

The purpose of this study is to gain deeper understanding of the experience of PSW and pathways to recover. Prolonged social withdrawal (PSW) among young people has been widely reported; however, the voice of those who withdraw is rarely heard. Illuminating these firsthand experiences is important as the phenomenon becomes widespread, calling for increased attention and creative solutions to promote recovery processes and re-inclusion in society.

Design/methodology/approach

This study conducted nine in-depth semi-structured interviews with young people who have been reclusive for 2–19 years and inquired about their perspectives and experiences around times of PSW and beyond. These data were analyzed and categorized according to three main areas: factors contributing to PSW, subjective experiences and general functioning during PSW and processes involved in coming out of PSW. This study presents the main findings and illustrates them using a case of a young man in PSW for 19 years.

Findings

The findings reveal that young people may turn to social withdrawal in response to varied personal and familial challenges, and often experience intense loneliness and psychic pain. Attempts to cope and recover from withdrawal involve inner motivation combined with support from significant others and a strong therapeutic alliance with professionals.

Originality/value

To the best of the authors’ knowledge, this is the first study to report findings from in-depth interviews with people who spent very long periods in PSW, and accordingly it contributes to the growing body of knowledge on this phenomenon. Based on this unique firsthand perspective, the authors propose potential guidelines for caregivers and mental health professionals trying to help people in PSW to reintegrate into society.
Urban building energy modelling-based framework to analyze the effectiveness of the community-wide implementation of national energy conservation codes
Authors: Ramalingam Rethnam Omprakash , Thomas Albert
Published: July 2023

Purpose

The building sector contributes one-third of the energy-related carbon dioxide globally. Therefore, framing appropriate energy-related policies for the next decades becomes essential in this scenario to realize the global net-zero goals. The purpose of the proposed study is to evaluate the impact of the widespread adoption of such guidelines in a building community in the context of mixed-mode buildings.

Design/methodology/approach

This study decentralizes the theme of improving the energy efficiency of the national building stock in parcels by proposing a community-based hybrid bottom-up modelling approach using urban building energy modelling (UBEM) techniques to analyze the effectiveness of the community-wide implementation of energy conservation guidelines.

Findings

In this study, the UBEM is developed and validated for the 14-building residential community in Mumbai, India, adopting the framework. Employing Energy Conservation Building Code (ECBC) compliance on the UBEM shows an energy use reduction potential of up to 15%. The results also reveal that ECBC compliance is more advantageous considering the effects of climate change.

Originality/value

In developing countries where the availability of existing building stock information is minimal, the proposed study formulates a holistic framework for developing a detailed UBEM for the residential building stock from scratch. A unique method of assessing the actual cooling load of the developed UBEM is presented. A thorough sensitivity analysis approach to investigate the effect of cooling space fraction on the energy consumption of the building stock is presented, which would assist in choosing the appropriate retrofit strategies. The proposed study's outcomes can significantly transform the formulation and validation of appropriate energy policies.
Evolution of short-term contrarian profits
Authors: Yang Xuebing , Zhang Huilan
Published: July 2023

Purpose

The purpose of this paper is to study the US stock market and try to explain why short-term contrarian profits have largely disappeared in the past two decades.

Design/methodology/approach

In this work, the authors decompose the short-term contrarian profits into cross-sectional variations, firm-level overreactions and lead-lag effects to study the changes in their shares. Then, the authors study the behavior of the subgroups in the winner and loser subportfolios of contrarian investment strategies.

Findings

The authors find that short-term contrarian profits have largely vanished since 2000. Changes in the shares of the three components of contrarian profits, which are cross-sectional variations, firm-level overreactions and lead-lag effects, are not the main reason for the disappearance of contrarian profits in the past two decades. Instead, the disappearance of short-term contrarian profits is primarily due to the heterogeneous evolution of subgroups in the portfolio, which leads to a decrease in the overall level of overreactions that drive the contrarian profit.

Originality/value

The work explains the disappearance of short-term contrarian profits in the US stock market.
Resale as sustainable social innovation: understanding shifts in consumer decision-making and shopping orientations for high-end secondhand clothing
Authors: Lichy Jessica , Ryding Daniella , Rudawska Edyta , Vignali Gianpaolo
Published: July 2023

Purpose

The purpose of this study is to draw from sustainable social innovation theory and the Consumer styles inventory (CSI) instrument to examine secondhand clothing consumption habits for Russia. The secondhand market is the logical outcome of efforts to adopt resale as a facet of sustainable social innovation, with which to drive sustainable decision-making and socially responsible marketing in the secondhand high-end clothing market. Resale represents the cornerstone of business model innovation (BMi) for the retail sector, offering substantial opportunities for retailers who understand changes in consumption behaviour. More cost-effective and arguably greener, the sale of secondhand clothing is expected to be double the volume of fast fashion by 2030 but it remains an understudied field of research in the literature relating to the fashion industry.

Design/methodology/approach

Hypotheses are developed from the existing literature. Survey methodology is used to collect data from 250 Russian consumers in the city of Petersburg. The objective is to test the veracity of CSI shopper orientations, focusing on nascent motivations for high-end branded secondhand clothing, to examine sustainable social innovation and resale in an emerging market.

Findings

Four new shopping orientations are identified. Based on the empirical data, the authors suggest that five (out of the original eight CSI shopping orientations) are of internal statistical relevance, and that our new orientations are relevant for not only this market, but for neighbouring Eastern European countries too. The findings reflect postmodern evolution in behavioural motivations for Russian consumers, that can inform retail strategy in terms of BMi consumer for harnessing opportunities offered by sustainable social innovation and resale.

Originality/value

Whilst the CSI has been widely used, research for Eastern Europe is limited. Understanding the shopping orientations for sustainable alternatives to newly produced clothing has theoretical and practical implications for improving circularity, post-war entry strategies and countries facing economic downturn. This study contributes novel insights by examining consumer decision-making and shopping orientations in an emerging market.