bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

PurposeStudents 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/approachThe 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.FindingsFrom 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/valueThe 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

PurposeThe 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/approachUsing 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.FindingsThis 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 implicationsThe 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/valueA 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

PurposeThe 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/approachThis 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.FindingsIn 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/valueIn 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

PurposeThe 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/approachIn 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.FindingsThe 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/valueThe 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.
Effect of SH2B1 on glucose metabolism during pressure overload‐induced cardiac hypertrophy and cardiac dysfunction
Authors: Liu Beilei , Liu Xuguang , Hu Shan , Mao Shuai , Yang Manqi , Wu Bin , Wu Gang 
Published: July 2023

AbstractThis study mainly explored the effect and mechanism of Src homology 2 (SH2) B adaptor protein 1 (SH2B1) on cardiac glucose metabolism during pressure overload‐induced cardiac hypertrophy and dysfunction. A pressure‐overloaded cardiac hypertrophy model was constructed, and SH2B1‐siRNA was injected through the tail vein. Haematoxylin and eosin (H&E) staining was used to detect myocardial morphology. ANP, BNP, β‐MHC and the diameter of myocardial fibres were quantitatively measured to evaluate the degree of cardiac hypertrophy, respectively. GLUT1, GLUT4, and IR were detected to assess cardiac glucose metabolism. Cardiac function was determined by echocardiography. Then, glucose oxidation and uptake, glycolysis and fatty acid metabolism were assessed in Langendorff perfusion of hearts. Finally, PI3K/AKT activator was used to further explore the relevant mechanism. The results showed that during cardiac pressure overload, with the aggravation of cardiac hypertrophy and dysfunction, cardiac glucose metabolism and glycolysis increased, and fatty acid metabolism decreased. After SH2B1‐siRNA transfection, cardiac SH2B1 expression was knocked down, and the degree of cardiac hypertrophy and dysfunction was alleviated compared with the Control‐siRNA transfected group. Simultaneously, cardiac glucose metabolism and glycolysis were reduced, and fatty acid metabolism was enhanced. The SH2B1 expression knockdown mitigated the cardiac hypertrophy and dysfunction by reducing cardiac glucose metabolism. After using PI3K/AKT activator, the effect of SH2B1 expression knockdown on cardiac glucose metabolism was reversed during cardiac hypertrophy and dysfunction. Collectively, SH2B1 regulated cardiac glucose metabolism by activating the PI3K/AKT pathway during pressure overload‐induced cardiac hypertrophy and cardiac dysfunction.
A two‐step approach to detect and understand dismisinformation events occurring in social media: A case study with critical times
Authors: Yang Seungwon , Chung Haeyong , Singh Dipak , Shams Shayan 
Published: July 2023

AbstractThis article describes a novel two‐step approach of detecting and understanding dis/misinformation events in social media that occur during disasters and crisis events. To detect false news events, we designed a deep learning‐based detection algorithm and then trained it with a transfer learning scheme so that the algorithm could decide whether a given group of rumor‐related tweets is a dis/misinformation event. For understanding how dis/misinformation was diffused in social networks and identifying those who are responsible for creating and consuming false information, we present DismisInfoVis, which consists of various visualisations, including a social network graph, a map, line charts, pie charts, and bar charts. By integrating these deep learning and multi‐view visualisation techniques, we could gain a deeper insight into dis/misinformation events in social media from multiple angles. We describe in detail the implementation, training process, and performance evaluations of the detection algorithm and the design and utilization of DismisInfoVis for dis/misinformation data analyses. We hope that this study will contribute to improving the quality of information generated and shared on social media during critical times, eventually helping both the affected and the general public recover from the impacts of disasters and crisis events.
Estimating admixture pedigrees of recent hybrids without a contiguous reference genome
Authors: Garcia‐Erill Genís , Hanghøj Kristian , Heller Rasmus , Wiuf Carsten , Albrechtsen Anders 
Published: July 2023

AbstractThe genome of recently admixed individuals or hybrids has characteristic genetic patterns that can be used to learn about their recent admixture history. One of these are patterns of interancestry heterozygosity, which can be inferred from SNP data from either called genotypes or genotype likelihoods, without the need for information on genomic location. This makes them applicable to a wide range of data that are often used in evolutionary and conservation genomic studies, such as low‐depth sequencing mapped to scaffolds and reduced representation sequencing. Here we implement maximum likelihood estimation of interancestry heterozygosity patterns using two complementary models. We furthermore develop apoh (Admixture Pedigrees of Hybrids), a software that uses estimates of paired ancestry proportions to detect recently admixed individuals or hybrids, and to suggest possible admixture pedigrees. It furthermore calculates several hybrid indices that make it easier to identify and rank possible admixture pedigrees that could give rise to the estimated patterns. We implemented apoh both as a command line tool and as a Graphical User Interface that allows the user to automatically and interactively explore, rank and visualize compatible recent admixture pedigrees, and calculate the different summary indices. We validate the performance of the method using admixed family trios from the 1000 Genomes Project. In addition, we show its applicability on identifying recent hybrids from RAD‐seq data of Grant's gazelle (Nanger granti and Nanger petersii) and whole genome low‐depth data of waterbuck (Kobus ellipsiprymnus) which shows complex admixture of up to four populations.
Psychological predictors of acute postoperative pain after total knee and hip arthroplasty: A systematic review
Authors: Springborg Anders H. , Visby Lasse , Kehlet Henrik , Foss Nicolai B. 
Published: July 2023

AbstractBackgroundIdentifying patients at high risk of acute postoperative pain after total knee or hip arthroplasty (TKA/THA) will facilitate individualized pain management and research on the efficacy of treatment options. Numerous studies have reported that psychological patient factors may influence acute postoperative pain, but most reviews have focused on chronic pain and functional outcomes. This systematic review aims to evaluate which psychological metrics are associated with acute postoperative pain after TKA and THA.MethodsA systematic search was conducted using the databases PubMed, EMBASE, Web of Science, and Cochrane Library until June 2022. Full‐text articles reporting associations of preoperative psychological factors with acute pain within 48 h of TKA or THA surgery were identified. Quality was assessed using the Quality in Prognostic Studies tool.ResultsEighteen studies containing 16 unique study populations were included. TKA was the most common procedure, and anxiety and depression were the most evaluated psychological metrics. Several different anesthetic techniques and analgesic regimens were used. The studies were generally rated as having a low to moderate risk of bias. Catastrophizing was associated with acute pain in six studies (of nine), mainly after TKA. In contrast, three studies (of 13) and two studies (of 13) found anxiety and depression, respectively, to be associated with acute postoperative pain.ConclusionPain catastrophizing seemed to be the most consistent psychological predictor of acute postoperative pain after TKA. The results for other psychological factors and THA were inconsistent. However, the interpretation of results was limited by considerable methodological heterogeneity.