bluuebunny/crossref_metadata_2025_split huggingface dataset:
US efficient factors in a Bayesian model scan framework
Authors: O'Connell Michael 
Published: January 2024

PurposeThe author examines the impact these efficient factors have on factor model comparison tests in US returns using the Bayesian model scan approach of Chib et al. (2020), and Chib et al.(2022).Design/methodology/approachEhsani and Linnainmaa (2022) show that time-series efficient investment factors in US stock returns span and earn 40% higher Sharpe ratios than the original factors.FindingsThe author shows that the optimal asset pricing model is an eight-factor model which contains efficient versions of the market factor, value factor (HML) and long-horizon behavioral factor (FIN). The findings show that efficient factors enhance the performance of US factor model performance. The top performing asset pricing model does not change in recent data.Originality/valueThe author is the only one to examine if the efficient factors developed by Ehsani and Linnainmaa (2022) have an impact on model comparison tests in US stock returns.
Earnings management detection through budget execution. Insights from Greek municipalities
Authors: Malkogianni Ioanna 
Published: January 2024

PurposeThis study examines specific budget execution items (as proxies of vulnerability and sustainability) along with political factors to identify earnings management (EM) practices in Greek municipalities.Design/methodology/approachThe study employs a sample of 1,831 financial and budget execution statements for the period 2011–2019. EM is proxied by unsigned discretionary accruals that are assessed through the performance-matched modified-Jones model and the modified-Jones model.FindingsThe findings provide evidence that the municipality’s dependence on subsidies (or its self-sufficiency) affects EM, especially during the pre-election year. Municipalities that maintain their financial autonomy engage less in EM in pre-election years. Lastly, it is proven that electoral cycles, weak opposition and other variables exert an effect on the size of EM. Sensitivity analysis confirms the results.Originality/valueThis paper contributes to the literature on EM by analyzing for the first time budget execution items (as proxies of vulnerability and sustainability) and their impact on the size of unsigned discretionary accruals.
A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms
Authors: Abdali Nasser , Heidari Saeideh , Alipour-Vaezi Mohammad , Jolai Fariborz , Aghsami Amir 
Published: January 2024

PurposeNowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.Design/methodology/approachThis paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.FindingsTo investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.Originality/valuePrioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.
Comparing sentiment and sentiment shock in stock returns
Authors: Bu Qiang , Forrest Jeffrey 
Published: January 2024

PurposeThe authors compare sentiment level with sentiment shock from different angles to determine which measure better captures the relationship between sentiment and stock returns.Design/methodology/approachThis paper examines the relationship between investor sentiment and contemporaneous stock returns. It also proposes a model of systems science to explain the empirical findings.FindingsThe authors find that sentiment shock has a higher explanatory power on stock returns than sentiment itself, and sentiment shock beta exhibits a much higher statistical significance than sentiment beta. Compared with sentiment level, sentiment shock has a more robust linkage to the market factors and the sentiment shock is more responsive to stock returns.Originality/valueThis is the first study to compare sentiment level and sentiment shock. It concludes that sentiment shock is a better indicator of the relationship between investor sentiment and contemporary stock returns.
Evidence-based knowledge management: a topic modeling analysis of research on knowledge management and analytics
Authors: Thakral Priyanka , Sharma Dheeraj , Ghosh Koustab 
Published: January 2024

Purpose
Organizations widely adopt knowledge management (KM) to develop and promote technologies and improve business effectiveness. Analytics can aid in KM, further augmenting company performance and decision-making. There has been significant research in the domain of analytics in KM in the past decade. Therefore, this paper aims to examine the current body of literature on the adoption of analytics in KM by offering prominent themes and laying out a research path for future research endeavors in the field of KM analytics.

Design/methodology/approach
A comprehensive analysis was conducted on a collection of 123 articles sourced from the Scopus database. The research has used a Latent Dirichlet Allocation methodology for topic modeling and content analysis to discover prominent themes in the literature.

Findings
The KM analytics literature is categorized into three clusters of research – KM analytics for optimizing business processes, KM analytics in the industrial context and KM analytics and social media.

Originality/value
Systematizing the literature on KM and analytics has received very minimal attention. The KM analytics view has been examined using complementary topic modeling techniques, including machine-based algorithms, to enable a more reliable, systematic, thorough and objective mapping of this developing field of research.
Entropy generation of thermophysical properties on heat and mass transfer pulsatile flow of non-Newtonian nanofluid
Authors: Ayegbusi F.D. , Idowu A.S. 
Published: January 2024

Purpose
The purpose of this study is to investigate the effects of entropy generation of some embedded thermophysical properties on heat and mass transfer of pulsatile flow of non-Newtonian nanofluid flows between two porous parallel plates in the presence of Lorentz force are taken into account in this research.

Design/methodology/approach
The governing partial differential equations (PDEs) were nondimensionalized using suitable nondimensional quantities to transform the PDEs into a system of coupled nonlinear PDEs. The resulting equations are solved using the spectral relaxation method due to the effectiveness and accuracy of the method. The obtained velocity and temperature profiles are used to compute the entropy generation rate and Bejan number. The influence of various flow parameters on the velocity, temperature, entropy generation rate and Bejan number are discussed graphically.

Findings
The results indicate that the energy losses can be minimized in the system by choosing appropriate values for pertinent parameters; when thermal conductivity is increasing, this leads to the depreciation of entropy generation, and while this increment in thermal conductivity appreciates the Bejan number, the Eckert number on entropy generation and Bejan number, the graph shows that each time of increase in Eckert will lead to rising of entropy generation while this increase shows a reduction in Bejan number. To shed more light, these results were further demonstrated graphically. The current research was very well supported by prior literature works.

Originality/value
All results are presented graphically, and the results in this article are anticipated to be helpful in the area of engineering.
Relationship between bullous pemphigoid and malignancy: A Mendelian randomization study
Authors: He Ming‐Jie , Wang Yu‐Jia , Ran De‐Long , Fu De‐Shuang , He Qing , Zhang Han‐Yin , Mao Yu , Zhao Peng‐Yuan , Yu Jian‐Bin , Zhang Jiang‐An 
Published: January 2024

AbstractBullous pemphigoid (BP) is the most common autoimmune blistering disease, which primarily affects the elderly. However, the relationship between BP and malignancy remains controversial in traditional observational studies. The aim of this study, which included only European populations, was to assess the potential causative link between BP and 13 types of malignant tumors in a two‐sample Mendelian randomization (MR) study. BP was not associated with an increased risk of developing 13 types of malignant tumors. This study did not find a causal relationship between BP and malignant tumors. However, further research is warranted to examine the generalizability of this conclusion in non‐European populations.
Element accumulation by the holoparasitic speciesCuscuta planiflorafrom serpentines in Bulgaria
Authors: Pavlova Dolja , Karadjova Irina , Bani Aida 
Published: January 2024

AbstractThe holoparasitic speciesCuscuta planifloraTen. (Convolvulaceae) parasitizes the Ni hyperaccumulatorOdontarrhena muralis(Waldst. & Kit.) Endl. and a non‐hyperaccumulator,Sanguisorba minorScop., in Bulgarian serpentine areas. This study investigated the host/parasite relationship to evaluate: (1) metal accumulation in different parts of the parasite and the host and (2) its potential threat to Ni phytomining/agromining by suppressing growth of the hyperaccumulator. Elemental concentrations in soil, shoots, leaves, and inflorescences of the two host plants, and in shoots and inflorescences of the parasite, were determined. Elemental concentrations of Ca, Mg, Fe, Ni, Cr, Co, Zn, Cu, Mn, Cd, and Pb were determined after microwave digestion using inductively coupled plasma—optical emission spectrometry (ICP‐OES) under optimal instrumental parameters. Individuals of hosts, both infected and non‐infected, differed in the concentrations of essential elements (P, K) and some micronutrients. Infected individuals ofO. muralisshowed lower Ni concentrations in shoots, leaves, and inflorescences compared to non‐infected ones.Sanguisorba minoris an excluder plant with low tissue Ni concentrations. The parasite had higher P and K, and lower Ca, Mg, Ni, Zn, Co, and Mn concentrations, than the host. The highest Ni concentration measured in the shoots ofC. planiflorawas 279 mg kg−1, whereas that fromS. minorwas 29.9 mg kg−1. Element transfer from host to parasite appeared element‐specific and after infection Ni concentrations in all organs and biomass of hosts were reduced. We conclude that infection byC. planiflorais a potential threat to use ofO. muralisfor Ni agromining.
Performance of low impact development on peak flow reduction in an urban system
Authors: Pampaloni M. , Sordo‐Ward A. , Lompi M. , Pacetti T. , Zubelzu S. , Rodríguez‐Sinobas L. , Bianucci P. , Caporali E. , Garrote L. 
Published: January 2024

AbstractThis study proposes an approach to evaluate the efficiency of low impact development (LID) in reducing urban runoff using a rainfall generator to disaggregate daily rainfall into sub‐hourly rainfall data, which are used as input of a hydrological model at the urban watershed scale. Twelve scenarios are analyzed combining four percentages of impervious area retrofitted with LIDs (25%, 50%, 75% and 100%), and three LID combinations of green roofs (GRs) and rain gardens (RGs). The rainfall generator Rainsim V.3 is used to generate 500 years of rainfall data with a 15‐min time step to analyze the performance of LIDs in the long‐term with the LID module of the Soil and Water Assessment Tool hydrological model. An urban watershed of 3 km2 located in Florence (Italy) is selected as a case study. Results show the performances of GRs and RG on peak flow reduction, highlighting a maximum flow reduction of single facilities ranging between 15% and 60% that can improve in case of their combination. The hydrological performances of LID combinations are very sensitive to the intensity of rainfall events, as well as percentages of area treated underlining the importance of simulating multiple scenarios of intervention to determine the most efficient combination of LIDs for a given case study and support their proper design from a urban water hydrology perspective.
The effects of troponin screening among patients undergoing acute high‐risk abdominal surgery: A retrospective cohort study
Authors: Kanstrup Charlotte T. B. , Svarre Kristina Johansen , Rasmussen Maja Christine , Serup Camilla Mattesen , Lundstrøm Lars Hyldborg , Kleif Jakob , Bertelsen Claus Anders 
Published: January 2024

AbstractBackgroundAcute high‐risk abdominal (AHA) surgery is associated with a high short‐term mortality rate. This might be partly attributed to myocardial injury after non‐cardiac surgery (MINS) defined by elevated postoperative troponin levels. The myocardial injury is often asymptomatic; thus, troponin screening seems to be the best diagnostic method.We aimed to assess whether implementing troponin screening with subsequent individualised interventions as standard care is associated with reduced mortality after AHA surgery. We also explored the treatment implications in the screening period.MethodsA retrospective cohort of 558 patients undergoing surgery from February 2018 to March 2021 was included. The patients undergoing surgery before March 2019 served as the historical control group, while the screening group consisted of patients undergoing surgery from March 1, 2019. Troponin I was to be measured 6–12 h postoperatively and in the morning of the succeeding 4 days. Patients with myocardial injury were assessed, and treatment was individualised after multiple disciplinary consultations. The primary outcome was the unadjusted 30‐day mortality rates. Inverse probability treatment weighting was used to adjust for selection bias.ResultsWe included 558 patients: 382 in the screening group and 176 in the historical control group. In the screening group, 15 patients (3.9%) died before the first blood sampling, and in 31 patients (8.1%), troponin screening was omitted, leaving only 336 patients screened. Myocardial injury was diagnosed in 81 patients (24.1%) of the 336 patients. Of these, 59 (72.8%) had a cardiac consultation. No interventions or alterations in relation to myocardial injury were done in 67 patients (82.7%).The 30‐day mortality was 13.8% (95% CI 8.7%–18.9%) in the control group and 11.1% (95% CI 8.0%–14.3%) in the screening group. The absolute risk difference was −2.7% (95% CI −8.7%–3.3%; p = .38), which was unchanged after adjustment. The difference remained unchanged after 90 days and 1 year.ConclusionThe implementation of postoperative troponin screening was not associated with reduced mortality after AHA surgery. Research on the prevention and treatment of MINS is warranted before the implementation of standard troponin screening.
Real‐world data of patients affected by advanced heart failure treated with implantable cardioverter defibrillator and left ventricular assist device: Results of a multicenter observational study
Authors: Rordorf Roberto , Pignalosa Leonardo , Casula Matteo , Perna Enrico , Baroni Matteo , Garascia Andrea , Guida Stefania , Gazzoli Fabrizio , Pini Daniela , Cannata Francesco , Pellegrino Marta , Vittori Claudia , De Filippo Paolo , Malanchini Giovanni , Vergara Pasquale , Della Bella Paolo , Gulletta Simone ,   all the Investigators of the study
Published: January 2024

AbstractBackgroundLeft ventricular assist device (L‐VAD) implantation is increasingly used in patients with heart failure (HF) and most patients also have an implantable cardioverter defibrillator (ICD). Limited data are available on the incidence of ICD therapies and complications in this special setting.The aim of this study was to analyze the real‐world incidence and predictors of ICD therapies, complications and interactions between ICD and L‐VAD.MethodsWe conducted a multicenter retrospective observational study in patients with advanced HF implanted with ICD and a continuous‐flow L‐VAD, followed‐up in five advanced HF centers in Northern Italy.ResultsA total of 234 patients (89.7% male, median age 59, 48.3% with ischemic etiology) were enrolled. After a median follow‐up of 21 months, 66 patients (28.2%) experienced an appropriate ICD therapy, 22 patients (9.4%) an inappropriate ICD therapy, and 17 patients (7.3%) suffered from an interaction between ICD and L‐VAD. The composite outcome of all ICD‐related complications was reported in 41 patients (17.5%), and 121 (51.7%) experienced an L‐VAD‐related complication. At multivariable analysis, an active ventricular tachycardia (VT) zone and a prior ICD generator replacement were independent predictors of ICD therapies and of total ICD‐related complications, respectively.ConclusionsReal‐world patients with both L‐VAD and ICD experience a high rate of ICD therapies and complications. Our findings suggest the importance of tailoring device programming in order to minimize the incidence of unnecessary ICD therapies, thus sparing the need for ICD generator replacement, a procedure associated to a high risk of complications.
The prevalence of perinatal mental health disorders and psychosocial characteristics of women in Malta: A cross‐sectional study
Authors: Buhagiar Rachel , Bettenzana Kristina , Grant Kerry‐Ann 
Published: January 2024

AbstractBackgroundPerinatal mental health disorders (PMHDs) are associated with a myriad of negative outcomes for women, infants, and the rest of the family unit. Understanding the prevalence of these conditions is important to guide prevention and treatment pathways. Indeed, the burden of PMHDs has been studied in many countries, but for Malta, an island with an annual birth rate of 4500 births, this burden is still to be determined. The main objective of this study was to address this gap, determine the prevalence of PMHDs among postpartum women in Malta, and study associated psychosocial determinants for this population.MethodsA cross‐sectional epidemiological study was conducted between March and April 2022 to determine the point prevalence of postpartum PMHDs in Malta. A representative, random sample of 243 postnatal mothers were recruited and screened for mental health issues using a two stage approach incorporating symptom scales and a diagnostic interview.ResultsThe point prevalence of postnatal PMHDs in Malta, according to a diagnostic interview, was found to be 21.4%. Anxiety disorders were the most prevalent conditions (16.8%), followed by obsessive‐compulsive disorder (6.1%) and borderline personality disorder (5.6%), respectively. A higher rate of 32.1% was identified with self‐report measures.ConclusionsPMHDs are highly prevalent, affecting approximately 20% of women in Malta across the first postnatal year. The value of this finding accentuates the need for service availability and the implementation of perinatal mental health screening programs.
The development and validation of the S‐scan‐parental self‐management support (S‐scan ‐ PS): A self‐reflection tool for child healthcare professionals
Authors: Wong Chung Ruud , Willemen Agnes , Bakker Amber , Maaskant Jolanda , Voorman Jeanine , Becher Jules , Schuengel Carlo , Alsem Mattijs 
Published: January 2024

AbstractBackgroundProfessionals providing self‐management support to parents regarding the care for their child with a chronic condition nowadays is an important aspect of child healthcare. This requires professionals to orient themselves towards partnership and collaboration with parents. The aims of the current study were the development and validation of the S‐Scan‐Parental self‐management Support (S‐scan ‐ PS) as a tool for healthcare professionals to reflect on their attitude and practices regarding the support for parental self‐management.MethodsAn existing instrument was adapted together with field experts for professionals to self‐evaluate their support for self‐management of parents. The resulting 36‐item self‐report questionnaire was filled in by healthcare professionals in the Netherlands working with children and their parents. Cognitive interviews, exploratory and confirmatory factor analysis (CFA), and test–retest reliability analysis were part of the development and validation process.ResultsIn total, 434 professionals, including physicians, physiotherapists, occupational therapists, and nurses, from 13 rehabilitation institutes and 5 medical centres participated. The cognitive interviews with child healthcare professionals indicated adequate face and content validity. The S‐scan ‐ PS scale had acceptable internal consistency (0.71 ≤ α ≤ 0.91) for the total score as well as the domain scores. CFA showed acceptable root mean square error of approximation (RMSEA) model fit (0.066), though not on other tested goodness‐of‐fit indices. Test–retest reliability of the instrument was moderate with an average intraclass correlation coefficient (ICC) = 0.61.ConclusionsThe S‐scan ‐ PS fulfils important psychometric criteria for use by child healthcare professionals to reflect on parental self‐management support. Such self‐reflection might help to improve their approach towards supporting self‐management of parents in the care for their child with a chronic condition. Further research is needed into the construct validity and test–retest reliability of the instrument.
Link between Internet addiction and depression and roles of social withdrawal and school belonging
Authors: Wang Zhiyou , Ye Yajun , Li Chunkai 
Published: January 2024

AbstractDepression and Internet addiction are common public health problems among adolescents. Previous literature has examined this association, but its underlying mechanisms remain unclear. The present study aims at identifying the influencing mechanisms of this association by constructing a moderated mediation model focusing on social withdrawal and school belonging. A sample of 616 Chinese middle and high school adolescents are surveyed regarding Internet addiction, depression, social withdrawal and school belonging. The Macro PROCESS was used to examine the proposed theoretical model. Results reveal that social withdrawal partially mediates the nexus between Internet addiction and adolescent depression. In addition, school belonging significantly moderates the association of social withdrawal with adolescent depression. These findings may guide future prevention and intervention strategies for depressed teenagers affected by Internet addiction.