bluuebunny/crossref_metadata_2025_split huggingface dataset:
News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks
Authors: Liu Duen-Ren , Huang Yang , Jhao Jhen-Jie , Lee Shin-Jye 
Published: March 2023

PurposeOnline news websites provide huge amounts of timely news, bringing the challenge of recommending personalized news articles. Generative adversarial networks (GAN) based on collaborative filtering (CFGAN) can achieve effective recommendation quality. However, CFGAN ignores item contents, which contain more latent preference features than just user ratings. It is important to consider both ratings and item contents in making preference predictions. This study aims to improve news recommendation by proposing a GAN-based news recommendation model considering both ratings (implicit feedback) and the latent features of news content.Design/methodology/approachThe collaborative topic modeling (CTM) can improve user preference prediction by combining matrix factorization (MF) with latent topics of item content derived from latent topic modeling. This study proposes a novel hybrid news recommendation model, Hybrid-CFGAN, which modifies the architecture of the CFGAN model with enhanced preference learning from the CTM. The proposed Hybrid-CFGAN model contains parallel neural networks – original rating-based preference learning and CTM-based preference learning, which consider both ratings and news content with user preferences derived from the CTM model. A tunable parameter is used to adjust the weights of the two preference learnings, while concatenating the preference outputs of the two parallel neural networks.FindingsThis study uses the dataset collected from an online news website, NiusNews, to conduct an experimental evaluation. The results show that the proposed Hybrid-CFGAN model can achieve better performance than the state-of-the-art GAN-based recommendation methods. The proposed novel Hybrid-CFGAN model can enhance existing GAN-based recommendation and increase the performance of preference predictions on textual content such as news articles.Originality/valueAs the existing CFGAN model does not consider content information and solely relies on history logs, it may not be effective in recommending news articles. Our proposed Hybrid-CFGAN model modified the architecture of the CFGAN generator by adding a parallel neural network to gain the relevant information from news content and user preferences derived from the CTM model. The novel idea of adjusting the preference learning from two parallel neural networks – original rating-based preference learning and CTM-based preference learning – contributes to improve the recommendation quality of the proposed model by considering both ratings and latent preferences derived from item contents. The proposed novel recommendation model can improve news recommendation, thereby increasing the commercial value of news media platforms.
Effects of religiosity, halal knowledge and halal certification on the intention of Muslims to use the halal vaccine during Covid-19 pandemic
Authors: Sudarsono Heri , Ikawati Retty , Kurnia Agus , Azizah Siti Nur , Kholid Muamar Nur 
Published: March 2023

Purpose
This study aims to analyze the effect of religiosity (RE), halal knowledge (HK) and halal certification (HC), attitudes, subjective norms and vaccine quality on the Muslim community’s intention to use halal vaccines in Indonesia.

Design/methodology/approach
This study involved 725 Muslim respondents in 32 Indonesian provinces. The model used was based on the theory of reasoned action development with the partial least squares structural equation modeling as the data processing tool.

Findings
The study discovered that RE, HK and HC did not affect the intention of Muslims to use halal vaccines. In addition, the MUI (Majelis Ulama Indonesia – Indonesia Council of Ulama) fatwa permitting the use of the AstraZeneca vaccine despite the haram ingredients was considered an excuse for Muslims to administer non-halal vaccines. However, several parties disagreed on the fatwa because the emergency legal standing for its permissibility did not apply to all regions. The reason was that each had different rates of confirmed cases, ranging from high-risk areas to those with zero confirmed Covid-19 cases.

Originality/value
This study examines the Muslim community’s intention toward using halal vaccines in several regions in Indonesia. In addition, this study conducted in-depth interviews as samples in several regions. This study also conducted interviews to determine the public’s views on government obligation about the Covid-19 vaccine. Finally, this study proposes a vaccine to avoid the possibility of controversy over the use of non-halal vaccines.
Exploring the limits of mindfulness during the COVID-19 pandemic: qualitative evidence from African context
Authors: Alo Obinna , Arslan Ahmad , Tian Anna Yumiao , Pereira Vijay 
Published: March 2023

PurposeThis paper is one of the first studies to examine specificities, including limits of mindfulness at work in an African organisational context, whilst dealing with the ongoing COVID-19 pandemic. It specifically addresses the role of organisational and managerial support systems in restoring employee wellbeing, social connectedness and attachment to their organisations, in order to overcome the exclusion caused by the ongoing pandemic.Design/methodology/approachThe study uses a qualitative research methodology that includes interviews as the main data source. The sample comprises of 20 entrepreneurs (organisational leaders) from Ghana and Nigeria.FindingsThe authors found that COVID-19-induced worries restricted the practice of mindfulness, and this was prevalent at the peak of the pandemic, particularly due to very tough economic conditions caused by reduction in salaries, and intensified by pre-existing general economic and social insecurities, and institutional voids in Africa. This aspect further resulted in lack of engagement and lack of commitment, which affected overall team performance and restricted employees’ mindfulness at work. Hence, quietness by employees even though can be linked to mindfulness was linked to larger psychological stress that they were facing. The authors also found leaders/manager’s emotional intelligence, social skills and organisational support systems to be helpful in such circumstances. However, their effectiveness varied among the cases.Originality/valueThis paper is one of the first studies to establish a link between the COVID-19 pandemic and mindfulness limitations. Moreover, it is a pioneering study specifically highlighting the damaging impact of COVID-19-induced concerns on leader–member exchange (LMX) and team–member exchange (TMX) relationships, particularly in the African context. It further brings in a unique discussion on the mitigating mechanisms of such COVID-19-induced concerns in organisations and highlights the roles of manager’s/leader’s emotional intelligence, social skills and supportive intervention patterns. Finally, the authors offer an in-depth assessment of the effectiveness of organisational interventions and supportive relational systems in restoring social connectedness following a social exclusion caused by COVID-19-induced worries.
The four studio structures and deep learning
Authors: Barnett Sarah , Francis Heather Drew 
Published: April 2023

PurposeThis paper describes how a pre-service teacher’s knowledge and pedagogy changed as she documented her reflective practice while teaching arts-integrated lessons in a fifth-grade classroom during her pre-service teacher preparation program. The pre-service teacher spent three-months conducting an action research project in collaboration with a university mentor.Design/methodology/approachThis paper explores what she and her mentor learned as she prepared arts-integrated lesson plans based on the four studio structures for learning and analyzed them along with identifying and documenting evidence of deep learning through field notes and video recordings.FindingsAnalysis of field notes, video recordings and lesson plans led the authors to take a deeper look at where the four studio structures for learning overlapped in the teaching event. In the data the intersections of the four studio structures shared a pattern of increased evidence of deep learning for the students. This paper describes the phenomenon in the classroom at various points of intersection.Research limitations/implicationsThis action research study is preliminary, and the findings are suggestive of further research that would require indexing what deep learning looks like and gathering and analyzing student data.Practical implicationsIt is recommended that teachers use the four studio structures to integrate the arts in their classrooms and to enhance and encourage creativity, communication, critical thinking, collaboration, character and culture and as teachers work toward deep learning for students.Originality/valueThis case shows how a university partnership provides fertile ground for educators of all skills and experience to participate in the expansion of the field of education as well as personal and professional development.
Sustainable luxury: from an oxymoron to a tautology – the case of the Indian luxury hospitality industry
Authors: Bharwani Sonia , Mathews David 
Published: April 2023

PurposeIn the context of heightened awareness and understanding of responsible tourism, it has become increasingly imperative for luxury hotels to introspect on the impact of their operations on environmental and social sustainability. This study aims at examining the prevalence and growth of sustainability practices in the Indian luxury hotel segment as it increasingly competes on a global platform.Design/methodology/approachThe research approach adopted in this paper is qualitative and emic. Primary data is gathered for the study through semi-structured interviews with select luxury hotel general managers from four hotel chains of Indian origin – ITC Luxury Hotels, Oberoi Hotels and Resorts, Taj Hotels and Palaces and The Leela – to gain an insight into sustainability initiatives adopted in the Indian hospitality industry. Secondary research data regarding the eco-friendly, green measures implemented in these hotels is collected primarily from the websites of the respective hotel chains and supplemented by review of academic literature, media articles, industry reports and company press releases.FindingsThe findings of the study reveal that Indian luxury hotel brands are increasingly adopting green products and integrating innovative sustainability practices in their day-to-day operations. However, several of these initiatives are in the non-customer-facing domains such as the engineering and back-of-the-house operations. Very few Indian hotel chains are building these sustainability initiatives into their core philosophy and embedding it in the front-line customer service experience at their properties to reinforce the green image of the hotels.Originality/valueThe paper also proposes the 6Cs Framework of Sustainability that can be utilised to categorise the green sustainable practices adopted in responsible hotels in a simplistic manner under six broad verticals. Practitioners, researchers and educationists in the hospitality industry would find the implications of this study useful in the context of a post-pandemic world where sustainability is influencing consumer choices across industries in today’s eco-conscious and enlightened business and marketing environment.
Concept development, design and validation of a novel continuous casting equipment
Authors: Biswas Prasenjit , Patel Deepak , Mallik Archana , Das Sanjeev 
Published: March 2023

Purpose
The purpose of this paper is to develop a concept and design to cast Al alloys/metal matrix composites (MMCs) by continuous casting process. The various steps involved in the evolution of the design have been reported and discussed in this study.

Design/methodology/approach
On the basis of developed design concept, initial prototype design has been prepared in this study. The casting process's melt flow pattern was studied via computer simulation, and the resulting changes were implemented in the original design. The single-phase fluid flow pattern through bottom feeding technique is studied. The equipment was fabricated based on computer simulation and water modelling studies. Finally, validation was performed for the preparation of Al alloys/ MMCs after parameter optimisation. The results were observed in the optical metallography to confirm the alloying and Al MMC preparation.

Findings
The developed continuous casting process with bottom feeding technique for the addition of constituent particles shows more efficiency in comparison to the existing batch processes. The final manufactured setup demonstrates effective Al alloy/MMC production as the basis for final fabrication has been accomplished by both computer simulation and water model test. In addition, the microstructure exhibits homogeneous distribution, validating the reliability of the setup.

Originality/value
Integrating continuous casting with continuous reinforcement or master alloy addition is novel in this area. The constraints that batch production had that have been rectified will also lower the contemporary cost of production.
Uniform selective pressures within redox zones drive gradual changes in microbial community composition in hadal sediments
Authors: Schauberger Clemens , Seki David , Cutts Elise M. , Glud Ronnie N. , Thamdrup Bo 
Published: March 2023

AbstractMicrobial communities in marine sediments are highly diverse, yet the processes that give rise to this complexity are unclear. It has been proposed that benthic microbial communities must be continuously re‐seeded from the water column because dispersal within the sediment is severely limited. Previous studies consistently report that the composition of the microbial community gradually changes with sediment depth. However, the relative contributions of the processes that underlie these compositional gradients have not been determined, and it is unknown whether microbial dispersal is indeed too slow to outpace burial. Here, we applied ecological statistical frameworks to 16S rRNA gene amplicon‐based community composition data from Atacama Trench sediments to investigate the links between biogeochemistry, burial, and microbial community assembly processes. We confirm that dispersal limitation affects microbial communities and find that gradual changes in community composition are driven by selective pressures that change abruptly across the discrete boundaries between redox zones rather than along continuous biogeochemical gradients, while selective pressures are uniform within each zone. The gradual changes in community composition over centimetres of depth within a zone hence reflects a decades‐long response to the abruptly changing selective pressures.
Modified Rapid Emergency Medicine Score‐Lactate (mREMS‐L) performance to screen non‐anticipated 30‐day‐related‐mortality in emergency department
Authors: Donoso Calero M. Isabel , Mordillo‐Mateos Laura , Martín‐Conty José L. , Polonio‐López Begoña , López‐González Ángel , Durantez‐Fernández Carlos , Viñuela Antonio , Rodríguez Hernández Marta , Mohedano‐Moriano Alicia , López‐Izquierdo Raúl , Jorge Soto Cristina , Martín‐Rodríguez Francisco 
Published: March 2023

AbstractBackgroundThe aim of this study was to compare the ability to predict 30‐day in‐hospital mortality of lactate versus the modified Rapid Emergency Medicine Score (mREMS) versus the arithmetic sum of the mREMS plus the numerical value of lactate (mREMS‐L).MethodsA prospective, multicentric, emergency department delivery, pragmatic study was conducted. To determine the predictive capacity of the scales, lactate was measured and the mREMS and mREMS‐L were calculated in adult patients (aged>18 years) transferred with high priority by ambulance to the emergency department in five hospitals of Castilla y Leon between 1 January 2020 and 31 December 2021. The area under the receiver operating characteristic (ROC) curve of each of the scales was calculated in terms of mortality for 30 days.ResultsA total of 5371 participants were included, and the in‐hospital mortality rate at 30 days was of 11.4% (615 cases). The best cut‐off point determined in the mREMS was 7.0 points (sensitivity of 67% and specificity of 84%), and for lactate, the cut‐off point was 1.4 mmol/L (sensitivity of 88% and specificity of 67%). Finally, the combined mREMS‐L showed a cut‐off point of 7.9 (sensitivity of 83% and a specificity of 83%). The area under the ROC curve of the mREMS, lactate and mREMS‐L for 30‐day mortality was 0.851, 0.853, and 0.903, respectively (p < 0.001 in all cases).ConclusionsThe new score generated, mREMS‐L, obtained better statistical results than its components (mREMS and lactate) separately.
Sex‐specific risk factors for early‐onset ischaemic stroke
Authors: Yang Jing , Wu Shouling , Wang Anxin , Chen Shuohua , Yang Chenlu , Zhang Qi 
Published: April 2023

AbstractThe aim of this study is to investigate sex‐specific risk factors for early‐onset ischaemic stroke (men <55 and women <65 years old) in the Chinese population. We included 1,270 participants with their first early‐onset ischaemic stroke after the baseline survey and 5,080 age‐matched (±2 years) and sex‐matched participants, which was an ongoing prospective cohort study conducted in the Kailuan community in Tanshan City, China. A conditional multivariate logistic regression model (backward) was used to analyse the sex‐specific risk factors for early‐onset ischaemic stroke. The effects of the risk factors were assessed by calculating standardized regression coefficients. The modifying effect of sex was explored using multiplicative interaction terms of sex with each of the risk factors, and sex‐specific risk factors were identified by stratifying the main regression analysis by sex. There were 1,270 early‐onset ischaemic strokes, 71% occurred in men and 29% in women. The control group included 5,080 participants. The top three risk factors for early‐onset ischaemic stroke were hypertension (beta = .21), diabetes mellitus (beta = .21) and adverse pregnancy outcomes (beta = .14) in women and hypertension (beta = .26), increased hs‐CRP (beta = .14) and diabetes mellitus (beta = .09) in men. There were significant interactions of sex with diabetes mellitus and systolic blood pressure (SBP). The effect of diabetes on early‐onset ischaemic stroke was stronger in women (odds ratio [OR] = 2.69) than in men (OR = 1.61), but the effect weakened with each standard deviation increase in SBP (OR: 1.30 vs. 1.68). Our study found that the effects of risk factors for early‐onset ischaemic stroke, especially diabetes mellitus and SBP, varied by sex.
Faking resistance of a quasi‐ipsative RIASEC occupational interest measure
Authors: Rasheed Sabah , Robie Chet 
Published: April 2023

AbstractQuasi‐ipsative (QI) forced‐choice response formats are often recommended over single‐stimulus (SS) as a method to reduce applicant faking. Across three studies we developed and tested a QI version of the RIASEC occupational interests scale. The first study established acceptable reliability and validity of the QI version. The second and third studies tested the efficacy of the QI version for faking prevention in simulated job applicant scenarios. The results revealed that although the QI and SS formats were similarly fakable for the primary targeted interest, faking was limited for the secondary target on the QI version. Future research should identify the specific contexts in which QI prevents faking on various individual differences measures to allow for accurate recommendations in applied settings.
Insights into circular RNAs: Biogenesis, function and their regulatory roles in cardiovascular disease
Authors: Ding Chen , Zhou Yafeng 
Published: April 2023

AbstractAs a distinctive member of the noncoding RNA family, circular RNAs (circRNAs) are generated from single‐stranded, covalently closed structures and are ubiquitous in mammalian cells and tissues. Due to its atypical circular architecture, it was conventionally deemed insignificant dark matter for a prolonged duration. Nevertheless, studies conducted over the last decade have demonstrated that this abundant, structurally stable and tissue‐specific RNA has been increasingly relevant in diverse diseases, including cancer, neurological disorders, diabetes mellitus and cardiovascular diseases (CVDs). Therefore, regulatory pathways controlled by circRNAs are widely involved in the occurrence and pathological processes of CVDs through their function as miRNA sponges, protein sponges and protein scaffolds. To better understand the role of circRNAs and their complex regulatory networks in CVDs, we summarize current knowledge of their biogenesis and function and the latest research on circRNAs in CVDs, with the hope of paving the way for the identification of promising biomarkers and therapeutic strategies for CVDs.
Up‐regulation ofPRKDCwas associated with poor renal dysfunction after renal transplantation: A multi‐centre analysis
Authors: Cao Zhijun , Jiang Hao , Zhao Chunchun , Zhou Huifeng , Ma Zheng , Xu Chen , Zhang Jianglei , Jiang Minjun , Wang Zhenfan 
Published: April 2023

AbstractRenal transplantation is the only efficacious treatment for end‐stage kidney disease. However, some people have developed renal insufficiency after transplantation, the mechanisms of which have not been well clarified. Previous studies have focused on patient factors, while the effect of gene expression in the donor kidney on post‐transplant renal function has been less studied. Donor kidney clinical data and mRNA expression status were extracted from the GEO database (GSE147451). Weight gene co‐expression network analysis (WGCNA) and differential gene enrichment analysis were performed. For external validation, we collected data from 122 patients who accepted renal transplantation at several hospitals and measured the level of target genes by qPCR. This study included 192 patients from the GEO data set, and 13 co‐expressed genes were confirmed by WGCNA and differential gene enrichment analysis. Then, the PPI network contained 17 edges as well as 12 nodes, and four central genes (PRKDC, RFC5, RFC3 and RBM14) were identified. We found by collecting data from 122 patients who underwent renal transplantation in several hospitals and by multivariate logistic regression that acute graft‐versus‐host disease postoperative infection, PRKDC [Hazard Ratio (HR) = 4.44; 95% CI = [1.60, 13.68];p = 0.006] mRNA level correlated with the renal function after transplantation. The prediction model constructed had good predictive accuracy (C‐index = 0.886). Elevated levels of donor kidney PRKDC are associated with renal dysfunction after transplantation. The prediction model of renal function status for post‐transplant recipients based on PRKDC has good predictive accuracy and clinical application.