bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Analysis of Commercial Single-Cell RNA Sequencing Technologies
Authors: De Simone Marco , Hoover Jonathan , Lau Julia , Bennet Hayley , Wu Bing , Chen Cynthia , Menon Hari , Au-Yeung Amelia , Lear Sean , Vaidya Samir , Shi Minyi , Lund Jessica M. , Xavier-Magalhaes Ana , Liang Yuxin , Kurdoglu Ahmet , O’Gorman William E. , Modrusan Zora , Le Daniel , Darmanis Spyros 
Published: June 2024

AbstractThis study evaluates ten commercially available single-cell RNA sequencing (scRNA-seq) approaches across four technology groups: Emulsion-based kits from 10x Genomics and Fluent Biosciences; Microwell-based kits from Becton Dickinson, Honeycomb Technologies and Singerlon Technologies; Combinatorial-indexing kits from Parse Biosciences and Scale Biosciences; and a Matrigel-based kit from Scipio Biosciences. Peripheral blood mononuclear cells (PBMCs) from a single donor were used to assess analytical performance. Key features such as sample compatibility, cost, and experimental duration were also compared. Notably, superior analytical performance was demonstrated by the Chromium Fixed RNA Profiling kit from 10x Genomics, which uniquely features probe hybridization for transcript detection. Additionally, the Rhapsody WTA kit from Becton Dickinson provided a cost-effective balance of performance and expense per cell. With a rich dataset of 218,154 cells, this work provides a basis for differentiating commercial scRNA-seq technologies, which is intended to facilitate the effective application and further methodological development of single cell transcriptomics.
Anti-Nucleocapsid and Anti-Spike Antibody Trajectories in People with Post-Covid Condition versus Acute-Only Infections: Results from the Virus Watch Prospective Cohort Study
Authors: Beale Sarah , Yavlinsky Alexei , Moncunill Gemma , Fong Wing Lam Erica , Nguyen Vincent Grigori , Kovar Jana , Hayward Andrew C , Abubakar Ibrahim , W Aldridge Robert 
Published: June 2024

AbstractBackgroundEarly evidence suggests that people with Post-Covid Condition (PCC) may demonstrate aberrant immune responses post-infection; however, serological follow-up studies are currently limited. We aimed to compare SARS-CoV-2 serological responses to primary infection and vaccination in people who developed PCC versus those with an acute infection only.MethodsParticipants (n=2,010) were a sub-cohort of the Virus Watch community cohort study in England who experienced mild-moderate SARS-CoV-2 infections, completed surveys on persistent symptoms, and provided monthly finger-prick blood samples for serology. We compared the likelihood of post-infection seroconversion using logistic mixed models and the trajectories of anti-nucleocapsid (anti-N) and anti-spike (anti-S) antibodies using linear mixed models.ResultsParticipants who developed PCC (n=394) had 1.8x the odds of post-infection seroconversion for anti-N antibodies compared to those with an acute infection only (n=1616) (adjusted odds ratio= 1.81 (95% confidence interval (CI) 1.16-2.90). Post-infection anti-N levels were persistently elevated in people with PCC (final log anti-N titres at 365 days 0.97, 95% CI 0.76-1.18) compared to those without (0.47, 95% CI 0.31-0.62). No differences were found in post-vaccination anti-S levels or trajectories before or after primary infection between participants with and without PCC; pre-vaccination anti-S responses could not be evaluated.ConclusionPeople with PCC demonstrated greater and more persistent anti-N antibody responses following primary infection compared to those with an acute infection only. Vaccination response pre- or post-infection did not systematically differ between groups. These findings extend emerging evidence around inflammatory and immune activation following infection in people with PCC.
Retaining young employees in the hospitality and tourism sector: the role of workplace context and management practices
Authors: Serhan Carole , Nasr Nour , Cheikh Georges , Nachar Gerard 
Published: June 2024

PurposeThis research study investigates the relationship between management practices and young employee retention in the hospitality and tourism industry in Lebanon. Besides, it examines the moderating role of the workplace context in the relationship between management practices and employment retention in the industry.Design/methodology/approachNon-probability purposive sampling method was used to collect 421 questionnaires through a survey of young employees. Exploratory factor analysis (EFA) and Cronbach's alpha test are conducted to test the construct validity, reliability, and internal consistency of collected data. Descriptive statistics are used to interpret the data. Zero-order correlations, multiple regression analysis and Fisher's Z-test are applied to assess the interrelations of the various groups of variables and the determinants of young employee retention.FindingsThe findings show that management practices tested in this study have significant relationships with young employee retention in the hospitality and tourism industry in Lebanon. Further, the findings reveal that the workplace context moderates the relationship between three management practices (participation in decision-making, training, and performance recognition) and young employee retention.Practical implicationsThe findings suggest that managers in hospitality and tourism businesses must improve their management practices and promote a positive workplace context to retain young employees.Originality/valueFinally, this study is the only one that tests the moderating role of the workplace context in the relationship between five selected management practices (participation in decision-making, training, performance recognition, remuneration and job continuity) and young employee retention. Previous studies used fewer variables.
Evaluation of competency dimensions for employee performance assessment: evidence from micro, small, and medium enterprises
Authors: Kharub Manjeet , Mondal Sourav , Singh Saumya , Gupta Himanshu 
Published: June 2024

PurposeIn recent years, there has been a growing emphasis on competency-based systems as a means of assessing employee performance. These systems assess the degree to which the competencies of employees align with the requirements of their employment positions. This study aims to identify, prioritize, and make contextual interrelationships of the competency dimensions that are relevant for evaluating employees in the context of Indian manufacturing MSMEs.Design/methodology/approachThese dimensions were identified through an extensive literature review and interviews with industry experts. Further, a mixed-methods approach, including the “Bayesian Best-Worst Method” (BBWM), is applied for prioritizing important dimensions, whereas for making mutual relationships, the “Interpretive Structural Modeling” (ISM) method is utilized. “Matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) is also known as “cross-impact matrix multiplication applied to classification” is used for clustering competency dimensions based on their “driving power” and “dependence power”.FindingsThe findings reveal that among the primary dimensions, “creative performance,” and among the sub-dimensions, “innovative behaviors,” are the most critical competency dimensions for an employee assessment. The study also found that “smart working”, “factual and theoretical knowledge”, “empathy at work”, “understanding of specific knowledge”, and “engagement ideas and activities” are the main dimensions driving employees' competency.Originality/valueThis paper provides contribution to the competence literature by identifying and evaluating competency dimensions for assessing employees' performance within manufacturing MSMEs in an emerging economy such as India. The study also assesses the rank and contextual relationship between the identified dimensions as no past research focused on the same by using BBWM and ISM in the Indian manufacturing MSMEs context.
The street begging economy: investigating the economic strategies of street beggars in Ghana
Authors: Agyemang Eric , Forkuor John Boulard , Kondor Ronald , Odongo Douglas Attoh 
Published: June 2024

PurposeThis study investigates the economic strategies street beggars (SBs) employ in Ghana to gain a competitive advantage within the contested urban spaces they occupy. By conceptualising SBs as economic actors, the research shifts the focus from perceiving them as passive recipients of charity to recognising their intentional decision-making and strategic behaviour to maximise financial benefits.Design/methodology/approachThe study adopts a qualitative case study approach, using non-participant observation and semi-structured interviews with 40 SBs in Kumasi, Ghana. Thematic analysis was used to identify the economic strategies used by SBs to gain a competitive advantage.FindingsThe study reveals three main strategies adopted by SBs: child advertisement, body marketing, and narrative marketing. These strategies emerge from the SBs' contextual understanding of the public’s social protection needs and are used to develop strategies that give them an advantage over other SBs within contested urban streets.Research limitations/implicationsFuture research could explore the effectiveness of different economic strategies employed by street beggars and compare their financial outcomes. Investigating the public’s perceptions and attitudes towards these strategies could provide valuable insights.Practical implicationsPolicymakers and city authorities should acknowledge some street begging as an economic activity and develop regulations, designate begging areas, and establish guidelines for acceptable practices. Creating targeted skill training, entrepreneurship programs, and access to microfinance can facilitate the transition of street beggars from begging to more sustainable forms of livelihood.Social implicationsThis study challenges the perception of street beggars as passive victims, highlighting their agency and strategic decision-making. Recognizing their economic strategies can inform policies that regulate begging as an economic activity, create alternative opportunities, and prevent exploitation of vulnerable groups, ultimately promoting more sustainable and dignified livelihoods for street beggars.Originality/valueThis study seeks to enrich the current literature and bridge the research gap by investigating the phenomenon of street begging and the diverse economic strategies street beggars employ to gain a competitive advantage within urban areas. This research moves beyond computing financial income and regulating begging by conceptualizing SBs as economic actors and begging as an economic activity. It explores how SBs use conscious efforts and rational strategies to maximize financial benefits from passers-by and outperform other SBs, providing novel insights into the complex dynamics of street begging.
Platform control and multi-realized platform benefits: a meta-analysis
Authors: Roberts Nicholas , Kim Inchan , Iyengar Kishen , Pullin Jennifer 
Published: June 2024

PurposePlatform owners need to encourage yet control complementors in ways that generate benefits. Retaining too much control can restrict innovation and knowledge flows; giving up too much control can lead to poor quality and platform instability. Studies provide mixed findings that make it difficult to draw generalizable conclusions. We aim to provide a more accurate understanding of the link between platform control and platform benefits.Design/methodology/approachWe conducted a meta-analysis of empirical research in this area.FindingsAccess-based control positively influences realization benefits, but it does not appear to affect creation benefits. Authority-based control does not appear to affect creation or realization benefits. Control is positively linked to benefits on transaction platforms but not on innovation platforms. Platform control is positively related to platform benefits in studies that use objective measures and in studies that measure control from the complementor’s perspective. However, the relationship between control and benefits is uncertain in studies that use perceptual measures and in studies that measure control from the owner’s perspective.Research limitations/implicationsTighter restrictions on who can join the platform can lead to greater use of platform innovations. Platform control is also an effective driver of benefits on transaction platforms. Researchers should carefully think through the manner in which they measure platform control and platform benefits. Our study is limited by a small sample size, four moderators and a set of empirical-only studies.Originality/valueOur findings can guide future research and help practitioners better understand when platform control is related to platform benefits.
Intersubjectivity on organizational goal congruence and performance measurement process: evidence from an Indonesian firm
Authors: Muttaqin Muhammad , Birton M. Nur A. 
Published: June 2024

PurposeThis study aims to examine the role of intersubjectivity portrayed in employees’ mundane activities in achieving goal congruence between individual and organizational goals within the performance measurement process.Design/methodology/approachSemi-structured in-depth interviews were conducted with five employees as key informants of each department. Observations were carried out unstructured to collect information about key performance indicator (KPI) and their achievements. Combining the interpretative phenomenological analysis (IPA) and Schutz’s phenomenology, the data analysis stage includes coding (interpretation, condensation and categorization of themes) and thematic analysis.FindingsThe findings show employees’ different feelings and actions in achieving their KPIs. Therefore, the anticipations of obstacles in achieving KPI were based on the intersubjective influence of personal goals, company goals, peers, bosses/departments and customers. Thus, in achieving KPI, employees strive to simultaneously achieve personal goals as well as company goals.Research limitations/implicationsPrevious literature on management accounting mainly focuses on organizational perspective and less on individual-centred phenomenological perspective. This study tries to fill this gap by exploring how intersubjectivity plays a role in employees’ mundane experiences.Practical implicationsIn designing and applying KPI, the company should consider employees’ happiness as it could reflect job satisfaction, leading to high performance.Originality/valueThis study contributes to the literature on goal congruence, performance measurement and management control by extending prior research by Cugueró-Escofet and Rosanas (2013) and Cugueró-Escofet et al. (2019) in empirically portraying how employees perceive goal congruence in the performance measurement process with IPA.
Digital disruption: unveiling antecedents propelling the revolution in contemporary accounting practices
Authors: Bathla Sakshi , Himanshu Himanshu , Ahmad Farah 
Published: June 2024

Purpose
This study aims to analyse the relative prominence of antecedents of digital accounting practices in the micro, small and medium enterprises (MSME) industry. The Ministry of MSME defines the sector as comprising manufacturing enterprises and enterprises rendering services in terms of investment in plant and machinery and the annual turnover. The study is motivated by the rapid usage of digitalisation that has become the driving force guiding organisational development.

Design/methodology/approach
This study builds on technological–organisational–environmental framework to analyse the objective. It identifies five technological sub-antecedents, six organisational sub-antecedents and five environmental sub-antecedents. Data were gathered from 202 accounting professionals from MSMEs and academicians. Semi-structured interviews with experts were also conducted to corroborate the analysis of results. Then, the study applied fuzzy analytic hierarchy process to analyse the prominence.

Findings
This study finds that the technological antecedent captures the topmost position among all three antecedents, followed by organisational antecedent. They play a critical role in driving digitalisation in accounting practices. Among sub-antecedents, the highest priority is provided to technological accounting infrastructure, followed by cybersecurity precautions, training and allied services for accounting software, support from management and availability of accounting resources.

Originality/value
The study contributes to the scant literature by establishing hierarchy of relevance of different antecedents of digital accounting practices in MSMEs. It offers valuable insights to accounting practitioners and MSME owners/managers. They can pay attention to the prominent antecedents identified in this study to build a robust innovation structure for implementing digitalised accounting practices. The study also has significance to policymakers, specifically when they are more focused on the growth and development of MSMEs.
A bibliometric and visual analysis of revisit intention research in hospitality and tourism
Authors: Zulfiqar Urooj , Abbas Alhamzah F. , Aman-Ullah Attia , Mehmood Waqas 
Published: June 2024

PurposeOne of the issues currently being discussed around the globe, and especially in the tourism industry, is revisit intention. This study uses a bibliometric analysis strategy based on the Web of Science (WOS) database to examine the literature on revisit intention.Design/methodology/approachIn this study, a sample of 482 articles was analyzed. The R programming language was used to process the data and graph the results.FindingsThe results found the occurrence of publications by year, publication source information and authors, journals, countries, institutions, thematic maps, current trends of topics in hospitality and tourism toward revisiting intention, and the most cited papers in revisit intention. This study highlights the importance of revisiting intention in the hospitality and tourism industry. The bibliometric analysis helps to set the research agenda on revisit intention.Originality/valueTo the best of the authors’ knowledge, this is the first study of its kind to present an empirical evaluation of revisit intention using inclusive mapping.
Shaping future home: understanding quality of life and citizenship in smart cities
Authors: Huang Shuxin , Huang Hui , He Shaoyao , Yu Xiaoping 
Published: June 2024

PurposeThis study aims to examine the effects of technology-, organisation- and environment-readiness, smart economic development, change valence, social cohesion and quality of life on citizenship in the context of smart cities.Design/methodology/approachThe study employed a customized questionnaire which was completed by 280 residents of China’s first-tier cities. This study tested the framework using the partial least squares structural equation modelling (PLS-SEM) technique.FindingsThe results indicated that smart economy development, social cohesion, change valence, technological readiness, organizational readiness and environmental readiness have a significant impact on the quality of life. Quality of life has a positive impact on citizenship.Originality/valueThis study adds new insights to smart city academic discussions. The study addresses a critical gap identified in existing literature which urges the need for a balance between user-centric, organization-centric and technology-centric approaches. It offers a fresh perspective on how the smart economy, social cohesion and readiness factors are interlinked. These elements together shape urban living experiences. For policymakers and urban planners, our findings provide clear guidance. They highlight the complex dynamics that must be considered to build more unified, inclusive and sustainable smart cities.
Effects of spironolactone on skin biophysical properties in women with acne treated with oral spironolactone
Authors: Kiratikanon Salin , Maneenut Ananya , Noppakun Nopadon , Kumtornrut Chanat 
Published: June 2024

AbstractBackgroundSpironolactone (SPL) is an effective treatment for women acne, but other effects on skin biophysical properties remain to be investigated.ObjectivesThe aim of the current study was to explore the effects of oral SPL used to treat women acne on skin biophysical properties, including hydration, transepidermal water loss (TEWL), skin surface lipid (SSL) levels, mechanical properties, color, pH, and pore size.Materials and MethodsTwenty‐five Thai women with acne treated with oral SPL were followed for 6 months. Skin hydration, TEWL, SSL levels, mechanical properties, color, pH, and pore size of the forehead, chest, and inner arm were evaluated at baseline and 2, 4, and 6 months after treatment with oral SPL. Facial and upper back pore size were also assessed. Clinical outcomes were changes in these skin biophysical properties at each visit compared with baseline.ResultsSkin hydration, TEWL, SSL levels, color, pH, and pore size remained stable throughout the study. Facial skin parameters at 6 months demonstrated the following changes: hydration levels, 7.60 (95% confidence interval [CI], −59.74 to 74.94); TEWL, −2.36 (95% CI, −5.77 to 1.06); L* value, 0.51 (95% CI, −0.70 to 1.72); individual typology angle, 1.65 (95% CI −2.27 to 5.57); pH, 0.01 (95% CI −0.43 to 0.46); pore size, −0.24 (95% CI, −1.21 to 0.73); and SSL levels, 7.60 (95% CI −59.74 to 74.94). Improvement of facial mechanical properties was observed. R0 (indicating skin tightness) and R1 (indicating elasticity) showed significant decreases (−0.076 [95% CI, −0.141 to −0.010] and −0.016 [95% CI, −0.033 to −0.001]). R3 and R4 (representing tiring effects) were also improved (−0.091 [95% CI, −0.158 to −0.025] and −0.022 [95% CI, −0.044 to −0.001]). Parameters in the truncal and inner arm areas remained stable, except for skin elasticity and tiring effects, which exhibited a similar trend of improvement as the facial area. The changes were notable as early as 4 months.ConclusionOral SPL used for acne did not impair the skin barrier. Moreover, the skin mechanical properties were improved at 4 to 6 months.
Shear wave velocity prediction for fractured limestone reservoirs based on artificial neural network
Authors: Feng Gang , Yang Zhe , Xu Xing‐Rong , Yang Wei , Zeng Hua‐Hui 
Published: June 2024

AbstractShear wave velocity is an essential parameter in reservoir characterization and evaluation, fluid identification and prestack inversion. However, conventional data‐driven or model‐driven shear wave velocity prediction methods exhibit several limitations, such as lack of training data sets, poor model generalization and weak model robustness. In this study, a model‐ and data‐driven approach is presented to facilitate the solution of these problems. We develop a theoretical rock physics model for fractured limestone reservoirs and then use the model to generate synthetic data that incorporates geological and geophysical knowledge. The synthetic data with random noise is utilized as the training data set for the artificial neural network, and a well‐trained shear wave velocity prediction model, random noise shear wave velocity prediction neural network, is established by parameter tuning, which fits the synthetic data with noise well. The neural network is applied directly to the real field area. Compared with conventional shear wave prediction methods, such as empirical formulas and the improved Xu–White model, the prediction results show that the random noise shear wave velocity prediction neural network has better prediction performance and generalization. Furthermore, the prediction results demonstrate the efficacy of the proposed approach, and the approach has the potential to perform shear wave velocity prediction in real areas where training data sets are unavailable.