Miracle-dz/UniFAR-FTUs huggingface dataset:
Accommodation Experience in the Sharing Economy: A Comparative Study of Airbnb Online Reviews

Current research investigating the accommodation experience in the sharing economy in China is limited, especially from a cross-cultural perspective. To fill this gap, this study examined the accommodation experience of Airbnb guests using text-mining techniques and compared the accommodation experience perception between two culturally different groups: domestic Chinese and foreign English-speaking Airbnb guests. The results showed that the two groups shared eight common dimensions, including “Convenience/Location”, “Amenities”, “Feel at home”, “Check-in/out”, “Experience”, “Availability/Transportation”, “Host”, and “Style/Decoration”. However, there are differences in the relative importance of each dimension of accommodation experience between the domestic and foreign Airbnb guests. For example, the foreign guests more often mentioned homeliness, location/convenience, and availability/transportation, while the domestic guests showed greater interest in check-in procedures and style/decoration. Additionally, the two groups have several unique dimensions. The dimensions unique to foreign guests are “Recommendation” and “Booking flexibility”, while the dimensions unique to domestic guests are “Revisit” and “Cleanliness”. This study provides both theoretical and practical implications for peer-to-peer accommodation hosts and platforms. For example, Airbnb hosts can improve the satisfaction of Airbnb guests by improving several common extracted topics (e.g., amenities quality and host response) and the fact that foreign guests care more about homeliness, while domestic guests pay more attention to the check-in process and house design and decoration.
Identifying Pivotal microRNAs and Target Genes Associated With the Pathogenesis of Atrial Fibrillation

Background: Atrial fibrillation (AF) is the most common arrhythmia. However, specific molecular mechanism of AF remains unclear. Our study aimed to identify pivotal target genes and miRNAs in the process of AF, which help provide the basis for clinical diagnosis and the methods for early intervention. Methods: Three gene expression array datasets (GSE31821, GSE41177 and GSE79768) and a miRNA expression array dataset of AF dataset (GSE68475) were downloaded. Differential expressed genes (DEGs) were identified using the LIMMA package and differential expressed miRNAs (DEMs) were screened from GSE68475. Target genes of DEMs were predicted using the miRTarbase database, the number of the intersection between DEGs and these target genes was 26, named CDEGs. The common DEGs (CDEGs) was subject to following analysis. Results: A total of 264 DEGs and 40 DEMs were identified between the AF and control groups. Functional and pathway enrichment analyses of up-regulated DEGs and down-regulated DEGs were performed. The CDEGs were mainly enriched in PI3K-Akt signaling pathway, negative regulation of cell division and response to hypoxia. Subsequently, the protein-protein interaction (PPI) network, the microRNA‐transcription factor‐target regulatory network and drug‐gene network were also constructed by Cytoscape software. Conclusion: The present study revealed several novel genes and miRNAs involved in AF. We speculated that PI3K-Akt signaling pathway might participate in the pathogenesis of AF with the interaction of MYC proto-oncogene (MYC), heat shock protein 90 kDA alpha, class B, member 1 (HSP90AB1) and DNA damage-inducible transcript 4 (DDIT4), moreover, SOD2 (superoxide dismutase 2) could target miR-671-5p, miR-4306, miR-3125, miR-4298 in the progression of AF.
Who Sets Social Media Sentiment?: Sentiment Contagion in the 2016 U.S. Presidential Election Media Tweet Network

ABSTRACT Sentiment contagion across the media tweet network of the 2016 U.S. presidential election, including traditional and non-traditional journalistic outlets, was identified and analyzed using time-series analysis. Online non-partisan journalistic accounts reported the highest use of positive sentiment words, while political commentators reported the highest level of negative sentiment word use. Online partisan accounts, including @drudge_report, were identified as intermedia agenda setters that led negative sentiment contagion in multiple journalistic outlet categories. No evident individual agenda setter account was found in positive sentiment contagion. Implications for media influence researchers and journalistic actors were discussed.
Can ESG Investing Beat the Market and Improve Portfolio Diversification? Evidence from China

Abstract Over the past decade, ESG investment has become an important criterion for the Chinese economic activities, including its capital market where ESG integration in asset management has become a hot topic among investment professionals. In this paper, we study the case of ESG investing in China through examining the performance of equity indices that are selected by an ESG screening process and comparing their main risk-return characteristics against those of conventional equity market benchmark indices, in order to provide further understanding on how ESG plays a role in China’s capital market. Specifically, we address three key issues that are of particular concerns to most investors: (i) Can equity indices based on ESG screening outperform their market benchmarks? (ii) Can ESG equity indices be replicated by reference indices? and (iii) Can ESG equity indices improve portfolio diversification? Overall, we find that investing in ESG equity indices can increase risk-adjusted returns and improve portfolio diversification for the case of China.
Making data playable: A game co-creation method to promote creative data literacy

This article explores how making data playable, i.e. developing exploratory co-creation techniques that use elements of play and games to interpret small to mid-sized datasets beyond the current focus on visual evidence, can help a) promote creative data literacy in higher education, and b) expand existing definitions of data literacy. The article briefly investigates playful characteristics in existing data practices, and discusses how this perspective compares to existing frameworks that define data literacy. In a second step, we present a Discursive Game Design technique to promote creative data literacy. The article reports on findings from a sample workshop, during which students explored how modifying small, hybrid games based on real-world datasets can alter players’ interpretation of the data, but also their perception of how the games operate as epistemic objects within data analysis. Finally, we formulate recommendations on how to adapt the technique to different educational settings.
Colour preference in relation to personal determinants and implications for indoor circadian luminous environment

Colour of interior surfaces has to be considered in order to provide optimal visual and non-visual performance. Colour selection is often related to the occupant's colour preferences. First part of the presented study was a questionnaire-based cross-sectional study among the employees of the University of Ljubljana conducted in December 2019 in order to identify possible association between personal determinants, room typology, preferred colour of indoor surfaces and general colour preferences. Based on the findings from the survey results, a simulation study on a generic cellular office was executed in order to evaluate the implications of occupant's wall colour preference on the resulting non-visual luminous environment under the climate of Ljubljana. Results showed a strong association between the general colour preference and wall colour preference. Significant differences between gender and age groups were identified. The respondents preferred white, orange and blue coloured walls, the latter two, as deduced from the simulations, may have a substantial negative or positive impact on the spatial distribution and duration of appropriate non-visual exposure in the indoor environment. The results of the presented study highlight the importance of considering the potential impact of indoor surface colour selection when evaluating the quality of the indoor luminous environment.
10 Gb/s Bidirectional Transmission with an Optimized SOA and a SOA-EAM Based ONU

We investigated the application of a semiconductor optical amplifier (SOA) and an SOA electro-absorption modulator (SOA-EAM) as attractive, low-cost solutions in passive optical networks (PONs). The main characteristics of an SOA with optimal performance for phase and amplitude modulation were tested. Additionally, a 10 Gb/s bidirectional transmission with an optical network unit (ONU) transmitter integrated with a distributed feedback (DFB) laser, electro-absorption modulator (EAM), and SOA was designed. The upstream (US) and downstream (DS) receiver sensitivities at the forward error correction (FEC) level reached −29.5 dBm and −33.5 dBm for back-to-back (BtB) fiber and −28.9 dBm and −33.1 dBm for 20 km fiber. For multichannel transmission, the US receiver sensitivities reached −28.8 dBm and −28.2 dBm for BtB and 20 km fibers, and the DS receiver sensitivities reached −33 dBm and −32.6 dBm for BtB and 20 km fibers, respectively.
Student teachers’ classroom management during the school internship

ABSTRACT Classroom management (CM) is one of the core issues in student teachers’ learning. In teacher education, however, CM often has a marginal place in the curriculum. This is striking, since most student teachers struggle with this competence, especially during their internship. This study investigated the intended CM internship curriculum. The intended curriculum for CM is mapped by analysing curricular documents (written curriculum), by interviewing teacher educators (ideal/preferred curriculum) and by comparing these findings to topics suggested by literature (theoretical curriculum). A variety of potential CM topics emerges from the literature, but limited and implicit attention for CM was found in the written curriculum. For the preferred curriculum, teacher educators recognised CM as essential, considering student teachers’ relationship with pupils’ as the core of CM. In addition, they stressed the practical side of CM: encouraging student teachers to get experience and expand their repertoire by teaching independently.
Drivers and facilitators of hunting behaviour in domestic cats and options for management

Martina CECCHETTI Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK. Email: mc703@exeter.ac. uk Sarah L. CROWLEY Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK. Email: S.Crowley@exeter.ac. uk Robbie A. MCDONALD* Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK. Email: r.mcdonald@exeter.ac. uk
Hybrid optimisation dependent deep belief network for lane detection

ABSTRACT Nowadays, in research introducing an advanced driver assistance system for improving driving is considered as the trending one. In this research, concentrate more on proposing lane detection model and assist in driving. This work develops a lane detection model through the deep learning scheme. The proposed scheme has two major phases, such as image transformation and lane detection. Initially, the proposed method obtains the multiple-lane images and transforms the image and this image transformation helps in classifier training. For detecting the lane from the bird’s view image, this work considers the Deep Convolution Neural Network (DCNN) classifier. A novel optimisation algorithm, namely Earth Worm-Crow Search Algorithm (EW-CSA), is developed in this work to assist the DCNN classifier with the optimal weights. The proposed algorithm is developed by modifying the Earth Worm Optimisation algorithm (EWA) with the properties of the Crow Search Algorithm (CSA). The proposed system is compared with other existing methods, in which the proposed method offers maximum sensitivity 0.9925, the detection accuracy of 0.99512, and specificity of 0.995.
Measurement of Urinary F2-Isoprostanes as Markers of in Vivo Lipid Peroxidation—A Comparison of Enzyme Immunoassay with Gas Chromatography/Mass Spectrometry

This study aimed at comparing the two most commonly utilized methods for measuring urinary F2-isoprostanes, currently considered one of the best available markers of in vivo lipid peroxidation. The F2-isoprostanes were measured in 24-h urine samples from 14 male subjects using electron capture negative ionization gas chromatography–mass spectrometry (ECNI–GCMS) with 8-iso-PGF2α-d4 as an internal standard and compared with levels obtained using an enzyme immunoassay (EIA, 8-iso-PGF2α kit, Cayman Chemical Co.). The methods were compared using Pearson correlation coefficients, and Bland–Altman plots were constructed for the difference in F2-isoprostane against the average F2-isoprostane measured by either method. Weighted least-products regression was used to determine fixed bias (where there is a consistent difference between the methods) and proportional bias (where one method gives values higher or lower than the other method by an amount proportional to the size of the measurement). The correlation between F2-isoprostane levels obtained using EIA and GCMS methods, although significant, was poor (r = 0.628, P < 0.02). Comparison of the methods using the Bland–Altman analysis showed that there were wide limits of agreement between the two methods with only 28% of the values falling within the 95% confidence limits for the difference. The GCMS gave higher values with a mean difference of 298.1 pM (636.6, −40.2; P = 0.079), and a near significant linear association between the differences and the mean F2-isoprostane level (r = −0.559, P = 0.05). Weighted least-product regression analysis confirmed the presence of both significant fixed and proportional bias with the EIA giving lower levels of F2-isoprostanes at low concentrations and higher levels at higher concentrations. The cross-reactivity in the EIA of 8-iso-15(R)-PGF2α and 9β-PGF2α which coelute with the F2-isoprostane peak measured by GCMS was very low, 0.2 and 0.1%, respectively. The proportional bias observed between the methods may in part be due to differences in the relative amounts of 8-iso-15(R)-PGF2α, 9β-PGF2α, and 8-iso-PGF2α with increasing lipid peroxidation. This study shows that the measurements of F2-isoprostanes by EIA and GCMS are not equivalent. Therefore, comparison of levels derived using a GCMS method which estimates concentration from a peak encompassing a number of F2-isoprostane isomers, and levels derived from enzyme immunoassay measuring a specific isoprostane, may be inappropriate.
Impact of green atmospherics on guest and employee well-being response, place dependence, and behavior in the luxury hotel sector

Abstract This study aimed to unearth the attributes of green indoor atmospherics and uncovered their influence on guests’ and employees’ mental well-being and intention generation process by considering the impact of occupant types (hotel guest and hotel employees) in luxury hotels. Mixed methods were used to achieve this research goal. The qualitative procedure explored seven vital attributes of green indoor atmospherics that both hotel guests and employees perceive as being critical. The attributes were categorized into green ambient conditions, green items, and green spaces/areas. Our quantitative process revealed that performance of these green indoor atmospherics is essential in generating mental well-being, place dependence, and behavioral intentions among guests and employees, and that mental well-being and place dependence maximized the effect of its predictors on intentions. In addition, the strength of the green ambient conditions, mental well-being, and intention relationships significantly differed across occupant types. Research value and originality are discussed.
Evidencing the contribution of social enterprise to health and social care: approaches and considerations

Purpose As the provision of public services in many advanced welfare states has increasingly come to be marked by competition, social enterprises have actively been encouraged by governments to become involved in the delivery of public services. While the evaluation of complex public health interventions has arguably become increasingly more sophisticated, this has not been the case where social enterprise is concerned: evaluation of the actual impacts of social enterprises remains significantly underdeveloped by comparison. This study aims to support the establishment of a robust evidence base for the use of social enterprise as a policy instrument. Design/methodology/approach This paper assesses the potential of three methodological approaches common in the evaluation of complex public health interventions and applies them to the complex realm of community-led social enterprise. Findings Only through the involvement of different comparator groups, based on the research questions addressed, would it be possible to disentangle the embedded characteristics of organisations such as social enterprises. Each of the methods adopted in this research is time-consuming and resource-intensive and requires the researcher to possess advanced skills. Public officials should recognise the complexity and resource-intensive nature of such evaluation and resource it accordingly. If the aim of policymakers is to understand the added value of social enterprise organisations, an integrative research approach combining different research methods and design should be implemented to improve generalisability. Originality/value This study applies a range of favoured approaches to evaluate “complex” public health interventions include systematic reviews, realist evaluation and quasi-experimental investigation. However, such evaluation approaches have rarely been applied before in the context of social enterprise.
Optimisation of BMI-based Images for Overweight and Obese Patients – Implications on Image Quality, Quantitative Accuracy and Radiation Dose in Whole Body 18F-FDG PET/CT Imaging.

Background - In PET/CT imaging the amount of 18 F-FDG activity injected to patient is mainly based on the patient body weight (BW) or on body mass index (BMI). Imaging overweight and obese patients using standard protocols results quite often in poor diagnostic images. The purpose of this study was to optimise BMI-based whole body 18 F-FDG PET images obtained from overweight and obese patients and assess the added value in terms of image quality, quantitative accuracy and radiation dose in comparison to BW-based images. Methods - The NEMA-IEC-body phantom was scanned on the mCT 128 slices scanner (Siemens Healthineers). The spheres and background were filed with F-18 activity. Spheres-to-background (2.1kBq/mL) ratio was 4:1. Data was reconstructed using the OSEM-TOF-PSF routine reconstruction (2 iterations, 21 subsets, 3mm Gaussian filter). The optimisation was performed by varying number of iterations, number of subsets, filter’s size and type and matrix size. The phantom images were assessed using contrast recovery coefficients (CRCs). The optimised reconstruction was applied to 17 overweight and obese patients. The optimised BMI-based images and BW-based images were compared visually and using signal-to-noise ratio (SNR), SUVmax and SUVpeak measurements. Results- The visual assessment of the optimised phantom images using 1 iteration, 21 subsets, 3mm Hamming filter showed better image quality and CRC values compared to the routine reconstruction. On patient data, the optimised BMI-based images provided better image quality compared to BW-based images in 87.5% of the overweight cases and 66.7% for obese cases. Compared to BW-based images, the optimised BMI-based images resulted in reduction of 18.6% in SUVmax, 10.6% in SUVpeak and 59% in radiation dose for overweight patients. Similar trends were observed in obese patients. SNR improvement on BMI optimised images over BW images was 55% and 59% on overweight and obese patients, respectively. Conclusions - The optimised BMI-based approach using 1 iteration, 21 subsets, 3mm Hamming filter improves image quality, reduces radiation dose and provides, at least, similar quantitative accuracy compared to the BW-based approach for both overweight and obese patients. These findings are compelling enough support to conducting a full assessment of the approach on a large patient population.
Integrating the transcriptome and proteome to identify important functional genes for laying hens with hard- or weak-shelled eggs

Background Eggshell strength and thickness are critical factors for reducing the egg breaking rate and preventing economic losses. The calcite biomineralization process is very important for eggshell quality. Therefore, we employed transcriptional sequencing and proteomics to investigate the differences between the uteruses of laying hens with high- or low-breaking-strength shells. Results We identified 1028 differentially expressed genes (DEGs) and 270 differentially expressed proteins (DEPs). The analysis results of GO terms and KEGG pathways showed most of the DEGs and DEPs were enriched in vital pathways related to such processes as calcium metabolism, hormone and amino acid biosynthesis, and cell proliferation and apoptosis. Some DEGs and DEPs that were coexpressed at mRNA and protein levels were verified. Conclusion in summary, this study confirmed that during normal calcification, there are differences in ion transport between the uterus of hens producing high-breaking-strength and those producing low-breaking-strength eggshells, which may help to elucidate the eggshell calcification process.
System Theory Approach as a Basis of Strategic Management

The introductory article to the special issue “The Strategic Management in the Context of Dynamic Complexity” substantiates that models and representations of the theory of complex systems are becoming the most relevant science-based background, which allows us to respond to the challenges of our time. The increasing complexity of social and economic development processes, accompanied by uncertainties, instabilities, unexpected turns, digitalization in the economy and the birth of Industry 4.0, the growing importance of network structures in business activity, new environmental standards associated with the need to switch to circular processes in the economy - all this requires changes in the management strategies of firms and corporations. Unconditional advantages are received by those firms that embed the principles of systemic, holistic, and non-linear thinking in their business philosophy.
Role of 5-HMF in Supercritical Water Gasification of Glucose

Tar and char are by-products in the supercritical water gasification of biomass, and they reduce the carbon gasification efficiency of the process. The compound 5-hydroxymethylfurfural (5-HMF), a well-known dehydration product of glucose, is suspected to be a chief intermediate in the polymerization pathway that results in the formation of tar and char. In this study, mixtures of glucose and 5-HMF were used as a feedstock; 5-HMF at concentrations of 0.01 to 0.05 M was added to 1.5 wt% (0.083 M) glucose. The reaction occurred under subcritical conditions (i.e., 350°C and 25 MPa). The gas and char formation rates were observed and compared with those in the case of pure glucose. The experimental results show no significant change in the gas and char yields, even though the 5-HMF concentration was increased by a factor of up to 5; this is an unexpected result. An n-th order kinetic model was developed to describe the gasification and polymerization pathways of glucose under subcritical conditions. The main intermediates for gas and char formation remain as TOC (a lumped liquid product).