bluuebunny/crossref_metadata_2025_split huggingface dataset:
The quest for delightful experiences and profitable enterprises: how customer delight impacts financial performance
Authors: Torres Edwin , Kizildag Murat , Lee Jongwon 
Published: June 2024

PurposeThe present research sought to analyze the effects of customer delight on both internal and external financial structures of publicly traded, service firms.Design/methodology/approachPrimary (i.e. survey) and secondary (i.e. financial records) data sources were gathered. A total of 685 participants responded to one questionnaire focusing on hotels and another one focused on restaurants, both of which measured levels of customer delight and satisfaction. Financial data were gathered from Center for Research in Security Prices, CRSP/COMPUSTAT.FindingsResults of MANOVA revealed that there was a significant difference in the net profit margin (NPM) based on customer delight. Canonical correlation results exposed a significant correlation between satisfaction and delight combined and the financial performance measures (net profit margin, cash flow margin, return on assets and b-beta) combined.Practical implicationsBy delighting their customers, managers will achieve higher profit margins. However, these are not likely to result in improved cash flow margin or return on assets. The effects of COVID-19 can alter yearly returns; thus, longitudinal research is needed to continue testing for the effects on delight on financial performance.Originality/valueThe relationship between delight and financial measures had not been previously determined (notwithstanding a few studies using substitute measures for financial performance). The present study uses actual data from the financial filings to empirically test their relationship to customer delight.
The prospect theory and the idiosyncratic risk-return linkage: a quantile regression approach for Vietnam’s stock market
Authors: Bao Ho Hoang Gia , Tran Thi Hai Ly , Dinh Thi Thu Hong 
Published: June 2024

PurposeThis paper scrutinizes the relationship between idiosyncratic risks and stock returns at different quantiles, especially the extremely low and high ones, to explore the applicability of the Prospect Theory’s rationale in Vietnam’s stock market.Design/methodology/approachThe Prospect Theory demonstrates that investors’ attitudes towards risks can change from risk-seeking in the loss domain to risk-averse in the gain domain. This can be observed by the negative (positive) connection between idiosyncratic risks and returns for the losing (winning) stocks. To explore if the aforesaid patterns occur in Vietnam’s stock market, this paper employs the quantile regression method which is suitable for inspecting the relationship at the high and low tails of the stock returns.FindingsThe estimation results acknowledge the changes in attitudes towards risks as mentioned by the Prospect Theory.Practical implicationsThe negative relationship between idiosyncratic risks and stock returns confirms investors’ risk-seeking behavior in the loss domain, which is in line with the prediction of the Prospect Theory. This behavior may cause worse investment performance as the losing stocks in investors’ portfolios remain overvalued, leading to subsequent negative returns. Therefore, investors should establish and follow their investment disciplines to protect themselves from larger losses.Originality/valueExisting research found little evidence for the Prospect Theory’s rationale in Vietnam’s stock market, which can stem from the usage of the conditional-mean regression methods. Different from the prior studies, this paper is the first to apply the quantile regression method and provide new evidence supporting the Prospect Theory’s rationale in Vietnam’s stock market.
Short-term train arrival delay prediction: a data-driven approach
Authors: Fu Qingyun , Ding Shuxin , Zhang Tao , Wang Rongsheng , Hu Ping , Pu Cunlai 
Published: June 2024

PurposeTo optimize train operations, dispatchers currently rely on experience for quick adjustments when delays occur. However, delay predictions often involve imprecise shifts based on known delay times. Real-time and accurate train delay predictions, facilitated by data-driven neural network models, can significantly reduce dispatcher stress and improve adjustment plans. Leveraging current train operation data, these models enable swift and precise predictions, addressing challenges posed by train delays in high-speed rail networks during unforeseen events.Design/methodology/approachThis paper proposes CBLA-net, a neural network architecture for predicting late arrival times. It combines CNN, Bi-LSTM, and attention mechanisms to extract features, handle time series data, and enhance information utilization. Trained on operational data from the Beijing-Tianjin line, it predicts the late arrival time of a target train at the next station using multidimensional input data from the target and preceding trains.FindingsThis study evaluates our model's predictive performance using two data approaches: one considering full data and another focusing only on late arrivals. Results show precise and rapid predictions. Training with full data achieves a MAE of approximately 0.54 minutes and a RMSE of 0.65 minutes, surpassing the model trained solely on delay data (MAE: is about 1.02 min, RMSE: is about 1.52 min). Despite superior overall performance with full data, the model excels at predicting delays exceeding 15 minutes when trained exclusively on late arrivals. For enhanced adaptability to real-world train operations, training with full data is recommended.Originality/valueThis paper introduces a novel neural network model, CBLA-net, for predicting train delay times. It innovatively compares and analyzes the model's performance using both full data and delay data formats. Additionally, the evaluation of the network's predictive capabilities considers different scenarios, providing a comprehensive demonstration of the model's predictive performance.
Vulvar lichen sclerosus in girls and adult females: A single‐center retrospective study of 744 patients in China
Authors: Liu Lin , He Yuexi , Hu Qiang , Sun Kailv , Yang Min , Chang Jianmin 
Published: June 2024

AbstractVulvar lichen sclerosus (VLS) is a chronic, inflammatory disease which is accompanied by itching and pain, affecting the patient's daily life and sexual activity. However, the disease characteristics of children and adults are not completely the same. Currently, there are few studies in China that compare the characteristics of VLS between girls and adult female patients. The aim of this study was to compare the epidemiology, clinical features, and combined autoimmune diseases of VLS patients between girls and adult females, and to help clinicians better understand VLS in different age groups. We enrolled 744 female patients for analysis, divided by age into a child group (<18 years) and an adult group (≥18 years). Among girl patients, 94.6% had preadolescent onset, while among adult female patients, only 4.6% had preadolescent onset, which was a statistically significant difference. The highest percentage of adult female patients had onset during their child‐bearing period (75.4%), while 20% had postmenopausal onset, with a significant difference when the three onset states were compared. White patches were equally common in both girl and adult female patients' external genital area, while mossy lesions and labia minora atrophy were more common in adult female patients. Involvement of the clitoris, labia minora, and vaginal opening area were more common in adult patients. The perianal area was more commonly involved in girl patients. We found eight cases (1.2%) of secondary squamous cell carcinoma in adult female patients. We also found that 13 patients had concurrent lichen sclerosus lesions on the vulva and extragenital region, including two girls and 11 adult females. Extragenital lichen sclerosus (EGLS) occurred mostly in the torso. Clinicians should be aware of these differences so that early diagnosis and treatment of the disease can be achieved, to avoid irreversible anatomical alterations and the risk of cancer.
Clinical course of psoriatic arthritis treated with biologics delineated with ultrasonography
Authors: Ota Mayumi , Nobeyama Yoshimasa , Asahina Akihiko 
Published: June 2024

AbstractPsoriatic arthritis (PsA) is a chronic, inflammatory articular disease regarded as a specific subtype of psoriasis. Long‐term assessment for PsA using ultrasonography has not yet been investigated. The present study was conducted to delineate the changes in articular lesions after the initiation of biologics using ultrasonography, and to provide the evidence of the utility of ultrasonography in long‐term follow‐up of PsA patients. We retrospectively recruited 17 Japanese PsA patients treated with biologics who met the classification criteria for psoriatic arthritis. Ultrasonographic images were recorded using a high‐frequency linear 18 MHz probe through Doppler‐ and B‐modes. Before the treatment with biologics, all examined patients (100%) had enthesitis and extensor tendinitis, while only six patients (35.3%) had loss of the fibrillar pattern of the tendon (LFP). There were significant changes over time in the numerical rating scale score for pain, and in the degree of ultrasonographic findings, including enthesitis, extensor tendinitis, and LFP. Also, there were significant changes over time between these ultrasonographic findings. The study identified the improvement course for a specific PsA lesion after the initiation of biologics. The improvement courses in enthesitis, extensor tendinitis, and LFP were found to differ from each other. These results may contribute to deeper understanding of the pathogenesis of PsA.
Equipping educators for learning support: A systematic review
Authors: Johnson Faith , Erasmus C. J. 
Published: June 2024

AbstractThe study conducts a systematic review of relevant literature focusing on equipping educators to provide learning support in education. Electronic databases were searched for articles published from January 2012 to December 2022. This review incorporated nine articles that met the inclusion criteria, which indicates the paucity of international literature on equipping educators through learning support. Four levels of review – namely, identification, screening abstracts, eligibility and inclusion – were employed utilising the extracted findings. Extracted data underwent a descriptive meta‐synthesis incorporating qualitative description of the findings extracted from the included articles. A narrative analysis was conducted on the emerging themes derived from the findings of the included articles. The findings showed a variety of challenges faced by educators in providing learning support within the educational field, particularly in terms of resources, professional development and training programmes, collaboration and communication. This review contributes to the existing body of literature through its focus on equipping educators through learning support.
Human capital, economic complexity, and ecological footprints: Crafting a sustainable development policy framework for E7 nations
Authors: Hong Tao , Yin Jie , Latif Muhammad Nouman , Ahmad Mahmood 
Published: June 2024

AbstractClimate change is one of the most pressing challenges of our time, with far‐reaching implications for ecosystems, economies, and societies worldwide. Human capital (HUC) and economic complexity (ECC) “understood as structural transformation toward more sophisticated and knowledge‐based production” can be pivotal in curtailing ecological degradation. In this context, the study explores the intricate relationship between HUC, financial development, financial globalization, gross domestic product, ECC, and ecological footprints from 1995 to 2021. To achieve this objective, advanced econometric estimation methods are employed. The results indicate the presence of cross‐sectional dependence and slope heterogeneity in the dataset. The variables present a mixed order of stationarity, while the Westerlund test indicates the presence of a long‐run equilibrium association. The results from the Method of Moments Quantile regression indicate that ECC posed a positive but insignificant effect in the lower quantile (τ = 0.1–0.25), while negative and significant in the middle (τ = 0.50) and upper quantiles (τ = 0.75–0.90). Moreover, financial globalization negatively and significantly affects ecological footprints through all the quantiles except the lower quantile (τ = 0.1). Financial development, gross domestic product, and HUC enhance environmental degradation by escalating ecological footprints. Based on the results, the study suggested enhancing the ECC and financial globalization, while sustainable utilization of HUC and strict regulations for the financial sector to foster sustainable development in E7 countries.
KDM4C represses liver fibrosis by regulating H3K9me3 methylation of ALKBH5 and m6A methylation of snail1 mRNA
Authors: Zhou Hua Ying , Wang Bing Qing , Chen Meng Xuan , Wang Yi Fan , Jiang Yong Fang , Ma Jing 
Published: June 2024

ObjectiveWe aimed to disclose the molecular mechanism of snail1 in liver fibrosis.MethodsCarbon tetrachloride (CCl4) was used to induce a liver fibrosis model in mice whereby serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were evaluated, and liver pathological alternations were assessed. Rat hepatic stellate cells (HSC‐T6) were irritated with transforming growth factor (TGF)‐β1, followed by assessment of cell viability and migration. The levels of snail1, ALKBH5, and lysine specific demethylase 4C (KDM4C) were quantified by immunohistochemistry, western blot, or reverse transcription‐quantitative polymerase chain reaction, in addition to α‐smooth muscle actin (SMA), anti‐collagen type I α1 (COL1A1), vimentin, and E‐cadherin. Photoactivatable ribonucleoside‐enhanced crosslinking and immunoprecipitation and RNA stability were evaluated to determine the relationship between ALKBH5 and snail1. Changes in KDM4C‐bound ALKBH5 promoter and enrichment of histone H3 lysine 9 trimethylation (H3K9me3) at the ALKBH5 promoter were determined using chromatin immunoprecipitation.ResultsIn fibrosis mice, snail1 was upregulated while ALKBH5 and KDM4C were downregulated. KDM4C overexpression reduced serum ALT and AST levels, liver injury, and α‐SMA, COL1A1 and VIMENTIN expressions but increased E‐cadherin expression. However, the aforementioned trends were reversed by concurrent overexpression of snail1. In HSC‐T6 cells exposed to TGF‐β1, ALKBH5 overexpression weakened cell viability and migration, downregulated α‐SMA, COL1A1 and VIMENTIN, upregulated E‐CADHERIN, and decreased m6A modification of snail1 and its mRNA stability. KDM4C increased ALKBH5 expression by lowering H3K9me3 level, but inhibited HSC‐T6 cell activation by regulating the ALKBH5/snail1 axis.ConclusionKDM4C decreases H3K9me3 methylation to upregulate ALKBH5 and subsequently inhibits snail1, ultimately impeding liver fibrosis.
When to monitor or control: Informed invasive species management using a partially observable Markov decision process (POMDP) framework
Authors: Waring Thomas K. , Somers Vera L. J. , McCarthy Michael A. , Baker Christopher M. 
Published: June 2024

Abstract

Resource allocation for invasive species management requires information about the size of the invasive population, which may be expensive and time‐consuming to obtain. The trade‐off between investment in monitoring and control efforts is a challenging decision problem, and existing mathematical tools are often difficult to interpret, and/or limited to a specific case study.

We propose a partially observable Markov decision process (POMDP) framework to help decision‐makers understand effective monitoring and control policymaking. POMDPs can deal with uncertainty in both the model and state of the system but are more challenging to solve due to the continuous and high‐dimensional state space. Rather than limiting the possible states of the system, as do most previously proposed methods, we work through the development of a density projection approach, which reduces the dimensionality of the space of beliefs by restricting them to a parametrised family of probability distributions. This serves to align the mathematical representation of the problem with the real‐world quantities relevant to human decision‐making.

The result of our model is a sequence of actions, which minimises the expected cost incurred in managing the invasive species, where the recommendation depends on an estimate of the species' abundance, and the uncertainty in this estimate. We demonstrate the effectiveness of our proposed framework with a case study on tropical fire ant (Solenopsis geminata) control and two generic case studies of varying complexity. Furthermore, we investigate sensitivity of the results to the choices of control cost and efficacy, and monitoring cost and error.

The framework proposed by this paper makes the powerful machinery of POMDPs available to environmental managers. It computes the optimal course of action to manage a growing population of an invasive species, incorporating a varying time horizon and multiple control interventions. We sidestep the computational difficulties of general POMDPs to provide a clear, visual overview of decision‐making recommendations, and how these decisions change in new situations. Initial results and scenario‐based analysis show promising results, and the framework could be extended to the related field of disease management.
Crop age is the main driver affecting alfalfa mosaic virus: The predominant virus in the alfalfa virome
Authors: Meseguer Roberto , Levi‐Mourao Alexandre , Lucas Eric , Pons Xavier , Achon María Ángeles 
Published: June 2024

AbstractThe alfalfa virome has been understudied. Existing research dealing with viral incidences within the crop primarily concentrate on local factors, rather than considering a broader perspective. In this comprehensive 2‐year study, we define the alfalfa virome and the main local and landscape factors affecting the incidence and annual increase of the Alfalfa mosaic virus (AMV), the most prevalent virus in alfalfa. The study was conducted in commercial alfalfa fields located along the highly productive northeast region of the Iberian Peninsula. For the first time in Europe, next‐generation sequencing revealed the presence of 14 different viruses representing the genera Cytorhabdovirus, Alphapartitivirus, Amalgavirus, Alfamovirus, Luteovirus, Enamovirus and Flavivirus. AMV was the most prevalent species, accounting for 89% of the identified viral contigs. Enzyme‐linked immunosorbent assays showed that the incidence of AMV varied between fields, with the average incidence doubling from 34% in 2019 to 65% in 2020. To assess the effect of local and landscape characteristics on the incidence of AMV and the observed annual increase, we selected different local variables and recorded landscape structure at three different buffer radii (250, 500 and 1000 m) from the centre of each field. Both the incidence and annual increase in AMV were driven mainly by local characteristics. The incidence of AMV showed a significant relationship with crop age and field area, whereas the annual increase was mainly influenced by crop age and the cumulative number of alate morphs of the aphid Acyrthosiphon pisum. Only one landscape composition variable, the percentage of alfalfa, showed a significant relationship with AMV incidence at the 250‐m scale. These results confirm the effect of local variables on the population structure of generalist viruses.
Effect of individualized anesthesia and analgesia on postoperative pain in patients stratified for pain sensitivity: A study protocol for the PeriOPerative individualization trial randomized controlled trial
Authors: Mogianos Krister , Undén Johan , Persson Anna 
Published: June 2024

AbstractBackgroundDespite advancements in surgical and anesthesia techniques, acute and persistent postoperative pain are still a common challenge. Postoperative pain has direct effects on individual patient care and outcome, as well as putting strain on limited health care resources. Several prediction methods for postoperative pain have been described. One such method is the assessment of pain during peripheral venous cannulation (VCP). It is not known if different approaches to anesthesia and analgesia, depending on the evaluation of risk for postoperative pain, can improve outcome. The aim of this study is to evaluate if individualized anesthesia and analgesia can affect postoperative pain and recovery after surgery, in patients stratified by VCP.MethodsAdult patients scheduled for laparoscopic surgery undergo pain‐sensitivity stratification using VCP on the day of surgery. Patients scoring VCP ≥2.0 on the visual analogue scale (pain‐sensitive) are randomized to multimodal anaesthesia and analgesia with opioids or standard of care. Patients scoring VCP ≤1.9 (pain‐tolerant) are randomized to opioid‐free anaesthesia or standard of care. The primary outcome is acute postoperative pain measured with numeric rating scale in the postoperative care unit. Secondary outcomes include analysis of pain after 24 h, persistent postoperative pain and quality of recovery.DiscussionIndividualized perioperative pain management has the potential to improve patient care. This study will examine the impact of different anesthesia and analgesia regimes, in patients with differing pain sensitivity, on postoperative pain.Trial RegistrationProspectively posted at ClinicalTrials.gov, identifier NCT04751812.
Solidarity with whom? Minority perspectives on allyship in Danish queer spaces
Authors: Van Cong Bao‐Thi , Power Séamus A. , Morton Thomas A. 
Published: June 2024

AbstractSocial psychological research has witnessed a burgeoning interest in advantaged group allies acting in solidarity with disadvantaged groups to challenge systems of inequality. While solidarity from advantaged group members is often deemed critical for social change, the perceptions of disadvantaged group members regarding ally participation are seldom addressed. This research delved into how LGBTQIA+ individuals in Denmark conceptualize allyship. Through 26 semi‐structured interviews with participants and organizers of queer pride events, a thematic analysis identified three themes addressing how allyship materializes, what risks it bears and who it involves. Specifically, we present a three‐levelled framework of allyship, which captures practices of allyship on a personal, relational and structural level. Our analysis also reveals the risk of allyship when it is not perceived as genuine and complexities of group boundaries when discussing allyship, shedding light on intersectional challenges within minority communities. These findings illustrate the nuances involved in providing and receiving allyship within and across various social (sub)groups.