bluuebunny/crossref_metadata_2025_split huggingface dataset:
The perception of halal concept of hoteliers in the light of social exchange theory: a Swedish study
Authors: Abbasian Saeid , Onn Gustaf , Nordberg Denice 
Published: October 2023

PurposeThis paper aims at from the perspective of the social exchange theory (SET) gaining an understanding of how promotion of halal concept in Sweden is perceived by Swedish hoteliers.Design/methodology/approachA mixed-methods approach has been used consisting of 62 completed surveys with closed-ended and open-ended questions, follow-up comments and five in-depth interviews with hoteliers in the mid-Sweden region. Content analysis has been employed.FindingsThree categories of meanings are the main findings: general perception, safeguarding Swedish secular values and financially unjustifiable have been discovered. Most of the respondents have been sceptical towards halal and Muslim-friendly hotel concepts due to financial and cultural challenges these two concepts have for the Swedish tourism and hotel industries. Based on the SET, this entails more costs than benefits and is especially at odds with Swedish-rooted secular values.Practical implicationsThis study provides practical implications and increased knowledge for tourism stakeholders including hotels in Sweden.Originality/valueThis is one of the very few studies on halal tourism in Scandinavia and the first Scandinavian study on hoteliers' attitudes towards halal tourism.
Application and use of telepresence robots in libraries and information center services: prospect and challenges
Authors: Jha Sanjay Kumar 
Published: October 2023

Purpose
The purpose of this paper is to explore how robots are being used in libraries and information centers to transform their services and what are the future possibilities and trends in the application of robots in libraries.

Design/methodology/approach
Through a review of the literature, this paper analyzes various library websites and consults literature relating to the use of telepresence robots in libraries; the current application of robots in libraries has been enumerated along with case studies of libraries currently adopting telepresence robots.

Findings
With the practical examples of libraries using different types of robots, this study summarizes diverse activities of artificial intelligence-mediated robots. The uses of telepresence technology in libraries help to enhance library services, reach new users and provide a more inclusive and accessible library experience. Telepresence robots enhance the quality and accessibility of library services, expand library outreach and provide new opportunities for virtual engagement and programming. The application of telepresence robots in libraries can offer many benefits, but there are also several challenges that libraries must address to ensure successful implementation.

Social implications
This study will motivate libraries and library professionals to take advantage of adopting telepresence robots in library and information center services and further accelerate library operations in the right direction.

Originality/value
This paper highlights how the introduction of telepresence robots in libraries improves services and productivity and creates a more engaging environment for the user group. The benefits and challenges of using robots in the library and the future trend in the application of telepresence robots in libraries are also discussed.
Effects of AI ChatGPT on travelers’ travel decision-making
Authors: Kim Jeong Hyun , Kim Jungkeun , Kim Seongseop (Sam) , Hailu Tadesse Bekele 
Published: October 2023

Purpose
This paper aims to investigate travelers’ intentions to use ChatGPT and the influential factors affecting their decision-making.

Design/methodology/approach
Four studies were conducted to test three hypotheses. Four groups of respondents totaling 593 (Study 1), 337 (Study 2), 374 (Study 3) and 385 (Study 4) survey participants were used for data analyses.

Findings
Overall, the findings confirmed the impacts of technology usage experience and ChatGPT’s mistakes and provided additional information on travelers’ intentions to use ChatGPT. The four hypotheses were supported.

Originality/value
The findings can help researchers and industry to understand travelers’ intentions to use ChatGPT and their responses to its functions.
The nature of measurement across the hybridised social sector: A systematic review of reviews
Authors: Ahearn Elizabeth‐Rose , Mai Catherine 
Published: October 2023

AbstractPerformance measurement and management serve as the key elements for demonstrating accountability to funders and stakeholders for many social entities. Although substantial study has been completed to understand the measurement practices employed by specific models of social entities, there is an absence of studies taking a broader perspective on organisational performance measurement across the entire system. A systematic review of reviews methodology identified previous systematic and meta‐studies of social performance measurement and management practices across the entire sector. The 19 reviews identified examined the measurement and management practices of a range of hybrid social entities including non‐profits, social enterprises, corporate social responsibility undertakings, impact investments and bonds, government departments, and knowledge‐intensive public organisations. The motivations of demonstrating accountability and learning opportunities for improvement are congruous across all entities. However, the approaches and methods employed to measure impact and meet these objectives are distinct between the different entity forms. Furthermore, acknowledgement of the different measurement approaches of other hybrid social entities was notably absent perhaps indicating a lack of knowledge dissemination across the broader system. Some barriers and complexities seem to be generalised across all hybrid entities; however, other challenges appear to be unique to specific hybrid models and measurement approaches. Through amalgamating a broad range of papers, we present opportunities to strengthen performance measurement and management across an increasingly hybridised social sector.Points for practitioners
Performance measurement and management are crucial for demonstrating accountability and improving social impact for all forms of hybrid entities including non‐profits, social enterprises, corporate social responsibility undertakings, impact investments and bonds, government departments, and knowledge‐intensive public organisations.
While the measurement practices of these organisational entities have been studied separately, there has been a lack of understanding as to the common practices and deviations across a hybrid organisational system. Practitioners should explore the different approaches and methods employed by the various social impact entities to identify opportunities for improved practice.
Meeting the information needs of the diverse range of stakeholders in social services sector poses a challenge for all social initiatives. However, our review highlights the importance of ensuring that the voice and perspectives of social service recipients are adequately represented.
Green growth, geopolitical risk, and economic policy uncertainty: Evidence from China
Authors: Xiaofang Li , Syed Qasim Raza , Ahmed Zahoor 
Published: October 2023

AbstractThis empirical analysis aims to probe the impact of geopolitical risk (GPR) and economic policy uncertainty (EPU) on green growth (GG) in China. In order to achieve this, we make use of time series data from 1990 to 2020. We adopt the novel wavelet quantile correlation (WQC) approach to report time‐varying results across quantiles. The key findings from the novel WQC approach delineate that EPU and GPR impede GG in the short‐ and long‐run, whereas, EPU and GPR promote GG in the medium‐run. Regarding the policy recommendations, we suggest to impede both EPU and GPR to upsurge long‐run GG in China.
Spontaneous retroperitoneal and intracranial hemorrhage following streptokinase therapy in acute myocardial infarction: An autopsy case report
Authors: Ayyappan Sathish , Shekhawat Raghvendra Singh , Meshram Vikas P. , Kanchan Tanuj 
Published: October 2023

AbstractBleeding complications following thrombolytic treatment for acute myocardial infarction (AMI) are not infrequent, among which intracranial hemorrhage is commonly reported. In contrast, retroperitoneal hematoma following the administration of thrombolytics is rarely reported in the literature. We are reporting a case of a middle‐aged man, who presented with left‐sided chest pain and was diagnosed with acute coronary syndrome with anterior wall ST elevation AMI. The patient was administered with thrombolytic drugs, including streptokinase and heparin. Percutaneous coronary intervention in the form of Coronary angioplasty with stent insertion was done to the left anterior descending artery, given coronary artery disease. The blood investigations showed elevated activated partial thromboplastin time and prothrombin time. The patient developed vomiting, altered sensorium, and left‐sided weakness, and a non‐contrast computerized tomography brain was done, which showed acute hemorrhage involving the right frontal lobe with intraventricular extension, so the ventricular drain was placed. The patient developed cardiac arrest and died on the third day. On autopsy examination, the brain showed subarachnoid hemorrhage, intraparenchymal hemorrhage over the right frontal lobe, and clotted blood in all the ventricles. A retroperitoneal hematoma of around 1500 cc was seen over the left side of the peritoneal cavity. This case highlights that although intracranial hemorrhage is a known complication after administrating thrombolytic therapy, clinicians should also be aware of the possibility of retroperitoneal hemorrhage. This case emphasizes the value of an autopsy in determining the cause of death in such situations.
Food provision in Australian aged care homes does not meet protein needs of residents: A call for reform
Authors: Li Lam Yan , Poon Shirley , Robbins Judy , Iuliano Sandra 
Published: October 2023

AbstractAimMalnutrition is common in older adults in aged care homes, partly due to inadequate protein intake. Menu planning guidelines are available however, adherence to guidelines is unknown. This study aimed to determine; (i) what are the average serving sizes of menu items provided and do they meet recommended portion sizes? (ii) does consumption from a ‘typical’ menu provide sufficient protein? and (iii) can substituting a ‘typical’ menu with high‐protein options enable residents to achieve protein adequacy?MethodsThis study involved 572 residents (73% female; aged 86.4 ± 7.3 years) from 60 aged‐care homes in Australia involved in a 2‐year cluster‐randomised trial. During the trial, food intake was recorded quarterly using visual estimation of plate‐waste and 42 061 foods analysed. As part of a secondary analysis of these data, portion sizes of foods were compared to guidelines by calculating the mean (95% confidence interval). Items were deemed inadequate if the upper 95% confidence interval remained below recommended portion sizes.ResultsOn average 47% of breakfast and 80% of lunch/dinner items were below recommended portion sizes. Relative protein intakes, from a typical menu (most consumed foods), was 0.9 g and 0.8 g/kg body weight/day for females and males; both below recommendations. Substituting regular items with higher protein equivalents increased protein intake to 1.3 g and 1.2 g/kg body weight/day, for females and males, respectively.ConclusionAged care homes in Australia are not meeting menu planning guidelines resulting in insufficient protein being provided. Reform to menu guidelines including provision of high‐protein foods, will ensure protein adequacy in older adults in aged‐care homes.
Modeling source water disinfection byproducts formation potential using environmental variables
Authors: Wang Kezhen , Mukundan Rajith , Gelda Rakesh K. 
Published: October 2023

AbstractPredictive models of disinfection byproducts (DBPs) formation in treated drinking water have been widely used to guide operational decisions. However, very few studies have addressed the issue of managing DBPs through watershed protection programs and proactive management of water supply systems through predictive modeling of DBP formation potential in source waters. Here, we propose a two‐component, simple statistical approach to predict the formation potentials of the sum of five haloacetic acids (HAA5fp) and total trihalomethanes (TTHMfp) in source water streams using environmental variables and ultraviolet absorbance at 254 nm wavelength (UV254) as a surrogate for DBP precursors. In the first component of the model, using three feature selection regression models and cross‐validation of subsets of the selected predictors, we identified three commonly monitored variables—streamflow, soil temperature, and total phosphorus for predicting UV254. In the second component, HAA5fp and TTHMfp are predicted from UV254. The approach is successfully demonstrated for two source water streams of the New York City water supply system (R2 was 0.8, and 0.7–0.8 for the two model components). Long‐term predictions of HAA5fp and TTHMfp showed distinct seasonal patterns that are linked to differences in land uses of the two watersheds. Moreover, sensitivity analysis showed that transport processes were important in one watershed whereas production processes were more important in the other.
Common institutional ownership and stock price crash risk
Authors: Chen Shenglan , Ma Hui , Wu Qiang , Zhang Hao 
Published: October 2023

AbstractThis paper presents new evidence on the economic benefits arising from common institutional ownership. We find a negative and significant effect of common institutional ownership on stock price crash risk. This effect is robust to a battery of robustness checks and is causal according to some identification tests, including difference‐in‐differences analyses on financial institution mergers. We find evidence that the negative effect is attributable to the monitoring role of common institutional owners—a role that is enabled by common owners' lower information processing cost and greater monitoring incentives owing to governance externalities. We also find that common owners negatively influence crash risk through constraining bad news hoarding and that common owners are more likely to force CEO turnover when a firm has higher crash risk. Overall, our results suggest that common institutional shareholders play a unique and effective monitoring role that fends off stock price crashes.
Intravenous MELAtonin for prevention of Postoperative Agitation and Emergence Delirium in children (MELA‐PAED): A protocol and statistical analysis plan for a randomized clinical trial
Authors: Garioud Anne Louise de Barros , Andersen Lars Peter Kloster , Jensen Aksel Karl Georg , Do Hien Quoc , Jakobsen Janus Christian , Holst Lars Broksø , Rasmussen Lars Simon , Afshari Arash 
Published: October 2023

AbstractBackgroundEmergence agitation and delirium in children remain a common clinical challenge in the post‐anesthetic care unit. Preoperative oral melatonin has been suggested as an effective preventive drug with a favorable safety profile. The oral bioavailability of melatonin, however, is low. Therefore, the MELA‐PAED trial aims to investigate the efficacy and safety of intraoperative intravenous melatonin for the prevention of emergence agitation in pediatric surgical patients.MethodsMELA‐PAED is a randomized, double‐blind, parallel two‐arm, multi‐center, superiority trial comparing intravenous melatonin with placebo. Four hundred participants aged 1–6 years will be randomized 1:1 to either the intervention or placebo. The intervention consists of intravenous melatonin 0.15 mg/kg administered approximately 30 min before the end of surgery. Participants will be monitored in the post‐anesthetic care unit (PACU), and the Post Hospitalization Behavior Questionnaire for Ambulatory Surgery (PHBQ‐AS) will be performed on days 1, 7, and 14 after the intervention. Serious Adverse Events (SAE) will be assessed up to 30 days after the intervention.ResultsThe primary outcome is the incidence of emergence agitation, assessed dichotomously as any Watcha score >2 during the participant's stay in the post‐anesthetic care unit. Secondary outcomes are opioid consumption in the post‐anesthetic care unit and adverse events. Exploratory outcomes include SAEs, postoperative pain, postoperative nausea and vomiting, and time to awakening, to first oral intake, and to discharge readiness.ConclusionThe MELA‐PAED trial investigates the efficacy of intravenous intraoperative melatonin for the prevention of emergence agitation in pediatric surgical patients. Results may provide further knowledge concerning the use of melatonin in pediatric perioperative care.
Long‐term Tai Chi practice in older adults is associated with “younger” functional abilities
Authors: Ma Yan , Gow Brian J. , Song Rhayun , Rist Pamela M. , Hausdorff Jeffrey M. , Lipsitz Lewis A. , Manor Brad , Wayne Peter M. 
Published: October 2023

AbstractAge‐related alterations in physiology lead to declines in physical function that are associated with numerous adverse outcomes among older adults. Utilizing a hybrid design, we aimed to understand whether both long‐term and short‐term Tai Chi (TC) training are associated with age‐related decline in physical function in healthy older adults. We first conducted cross‐sectional comparisons among TC‐naïve older adults (n = 60, 64.2 ± 7.7 years), TC‐expert older adults (n = 27, 62.8 ± 7.6 years, 24.5 ± 12 years experience), and TC‐naïve younger adults (n = 15, 28.7 ± 3.2 years) to inform long‐term effects of TC training on physical function, including single leg stance time with eyes closed, grip strength, Timed Up and Go, maximum walking speed, functional reach, and vertical jump for lower‐extremity power. There were significant differences among the three groups on all the six tests. For most functional tests, TC‐experts performed better than age‐matched TC‐naïve controls and were statistically indistinguishable from young healthy adult controls. Long‐term TC training was associated with higher levels of physical function in older adults, suggesting a potential preventative healthy aging effect. In the randomized longitudinal trial, TC‐naïve subjects were randomized (n = 31 to Tai Chi group, n = 29 to usual care control group) to evaluate the short‐term effects of TC over 6 months on all outcomes. TC's short‐term impacts on physical function were small and not statistically significant. The impact of short‐term training in healthy adults is less clear. Both potential longer‐term preventive effects and shorter‐term restorative effects warrant further research with rigorous, adequately powered controlled clinical trials.
Semantics‐guided generative diffusion model with a 3DMM model condition for face swapping
Authors: Liu Xiyao , Liu Yang , Zheng Yuhao , Yang Ting , Zhang Jian , Wang Victoria , Fang Hui 
Published: October 2023

AbstractFace swapping is a technique that replaces a face in a target media with another face of a different identity from a source face image. Currently, research on the effective utilisation of prior knowledge and semantic guidance for photo‐realistic face swapping remains limited, despite the impressive synthesis quality achieved by recent generative models. In this paper, we propose a novel conditional Denoising Diffusion Probabilistic Model (DDPM) enforced by a two‐level face prior guidance. Specifically, it includes (i) an image‐level condition generated by a 3D Morphable Model (3DMM), and (ii) a high‐semantic level guidance driven by information extracted from several pre‐trained attribute classifiers, for high‐quality face image synthesis. Although swapped face image from 3DMM does not achieve photo‐realistic quality on its own, it provides a strong image‐level prior, in parallel with high‐level face semantics, to guide the DDPM for high fidelity image generation. The experimental results demonstrate that our method outperforms state‐of‐the‐art face swapping methods on benchmark datasets in terms of its synthesis quality, and capability to preserve the target face attributes and swap the source face identity.
Multi‐Modal Face Stylization with a Generative Prior
Authors: Li Mengtian , Dong Yi , Lin Minxuan , Huang Haibin , Wan Pengfei , Ma Chongyang 
Published: October 2023

AbstractIn this work, we introduce a new approach for face stylization. Despite existing methods achieving impressive results in this task, there is still room for improvement in generating high‐quality artistic faces with diverse styles and accurate facial reconstruction. Our proposed framework, MMFS, supports multi‐modal face stylization by leveraging the strengths of StyleGAN and integrates it into an encoder‐decoder architecture. Specifically, we use the mid‐resolution and high‐resolution layers of StyleGAN as the decoder to generate high‐quality faces, while aligning its low‐resolution layer with the encoder to extract and preserve input facial details. We also introduce a two‐stage training strategy, where we train the encoder in the first stage to align the feature maps with StyleGAN and enable a faithful reconstruction of input faces. In the second stage, the entire network is fine‐tuned with artistic data for stylized face generation. To enable the fine‐tuned model to be applied in zero‐shot and one‐shot stylization tasks, we train an additional mapping network from the large‐scale Contrastive‐Language‐Image‐Pre‐training (CLIP) space to a latent w+ space of fine‐tuned StyleGAN. Qualitative and quantitative experiments show that our framework achieves superior performance in both one‐shot and zero‐shot face stylization tasks, outperforming state‐of‐the‐art methods by a large margin.
Efficient Neural Representation of Volumetric Data using Coordinate‐Based Networks.
Authors: Devkota S. , Pattanaik S. 
Published: October 2023

AbstractIn this paper, we propose an efficient approach for the compression and representation of volumetric data utilizing coordinate‐based networks and multi‐resolution hash encoding. Efficient compression of volumetric data is crucial for various applications, such as medical imaging and scientific simulations. Our approach enables effective compression by learning a mapping between spatial coordinates and intensity values. We compare different encoding schemes and demonstrate the superiority of multiresolution hash encoding in terms of compression quality and training efficiency. Furthermore, we leverage optimization‐based meta‐learning, specifically using the Reptile algorithm, to learn weight initialization for neural representations tailored to volumetric data, enabling faster convergence during optimization. Additionally, we compare our approach with state‐of‐the‐art methods to showcase improved image quality and compression ratios. These findings highlight the potential of coordinate‐based networks and multi‐resolution hash encoding for an efficient and accurate representation of volumetric data, paving the way for advancements in large‐scale data visualization and other applications.