Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Destination Image on Tourist Satisfaction: The Case of Don-Wai Floating Market in Nakhon Pathom, Thailand

The aim of this study was to analyse the effects of a Floating Market’s destination image on tourist satisfaction. A closed-question questionnaire was prepared drawing from the attributes that influence tourist destination satisfaction in the literature. The sample in the study consisted of 200 tourists who visited Nakhon Pathom’s Don Wai Floating Market in January 2018. Multiple regression analyses were applied to empirically test the study’s four hypotheses. The results found that the uniqueness of nature, uniqueness of history, and uniqueness of tourist products are the most critical factors affecting the tourists’ satisfaction at the 95 percent significance level. However, the uniqueness of architecture factor did not have a significant effect on tourist satisfaction. The study for the first time established an empirical relationship between the uniqueness of nature, uniqueness of history, and uniqueness of tourist products of a floating market and tourist satisfaction with a Floating Market as a tourist destination. These insights may help other FloatingMarkets to better understand the factors that influence tourist satisfaction with such facilities.
Go soft or go home? A scoping review of empirical studies on the role of self-compassion in the competitive sport setting

Self-compassion describes a supportive attitude towards oneself. Research outside the sport context suggests that self-compassion might be beneficial in terms of psychological processes that are helpful for athletic performance. At the same time, there are reasons to assume that athletes may fear a negative influence of SC on their self-improvement motivation. Therefore, it seemed worthwhile to clarify the role of self-compassion in the competitive sport setting by reviewing the current research. The aim of this scoping review is to give an overview of the current literature on SC in competitive sports and to answer the question, whether SC is helpful for competitive athletes. A literature search was conducted using PsycINFO, PsycARTICLES, PSYNDEX, and SPORTDiscus. Eligibility criteria were peer-reviewed publication, publication in English, original research and research investigating selfcompassion in competitive athletes. From 17 publications that met the inclusion criteria, we identified 19 studies, most of which were quantitative, employing a cross-sectional design. Additionally, we found only one intervention study, one experimental study and four qualitative studies using interviews. We provided an integrative narrative description of the study aims, hypotheses, methodological characteristics and study results. Based on the reviewed findings we concluded that in the future more intervention and longitudinal studies are needed. Furthermore, a comprehensive theoretical framework should be developed, which explains how SC is beneficial for athletes. Thus far, qualitative studies highlight the potential ambivalence of athletes towards SC (i.e., they expect benefits after failures but fear that too much SC leads to mediocrity). Quantitative research indicates that SC is beneficial for athletes’ well-being and their ability to deal with adversities in sports, whereas the role of self-compassion for self-improvement motivation remains unanswered.
Deep Catalytic Oxidative Desulfurization of Model Fuel Based on Modified Iron Porphyrins in Ionic Liquids: Anionic Ligand Effect

The modified iron porphyrins with weak ligand (PF6–, BF4–) were prepared by a gentle and cheap approach. The catalytic systems with modified iron porphyrins and 1-butyl-3-methylimidazolium hexafluorophosphate ([Bmim]PF6) were used in the catalytic oxidative removal of sulfur compounds from model oil under mild conditions. The effect of anionic axial ligand on catalytic oxdative desulfurization performance was investigated. Iron porphyrins with weak ligand exhibited higher desulfurization performance, and the catalytic ability of catalysts was FeIIITPP(PF6) > FeIIITPP(BF4) > FeIIITPPCl. A dual active model mechanism was proposed to illustrate this phenomenon of oxidative process. The system of FeIIITPP(PF6) and [Bmim]PF6 could be recycled for 6 times without evident decrease of desulfurization efficiency.
A Survey of Cloud Computing Security Issues

n the world of computer networking, cloud computing makes a technical shift of computing services being provided locally to being provided remotely by third-party service providers. The data which was previously retained by the control of users now it’s under the control of service providers. Cloud computing conveys numerous economic and practical assistances along with severe security alarms that might impend commercial endurance and business status. The cloud computing definition is still not clear in a huge portion, as of the extent of security threats and the large expanse of virtual information being distributed over the unsecured area. This manuscript aims to assess in what way security risk issues are affecting the surviving and eventual cloud platform. This survey examines the published resources and studies, examines available concerns laterally with existing countermeasures to assess the complete assertion level of security of the cloud. The primary goal of the survey is to analyse the security risks and the existing security algorithm's performance in terms of different security parameters. This study includes the basics of cloud computing by adding its characteristics, models, and their categories. The analysis also embraced the existing security concerns faced by researchers and their imposed methodologies.
Factors that influence consumers’ participation in electronic tourism

Recent advances in Information and Communication Technologies (ICT) transformed the tourism industry in a key sector for e-commerce. In such a context, many companies have sought to understand the main reasons for consumers to participate in electronic tourism (e-tourism). Thus, we aim to analyze different factors that influence the participation of consumers in e-tourism, by choosing a website, recommending it, or buying tourism products. We surveyed 251 participants enrolled in tourism discussion groups on the web, analyzing data through structural equation modeling – SEM. Our results pointed out satisfaction with previous experiences and the quality of tourism products as the main drivers of customers’ participation in e-tourism regarding the intention to buy and recommending the tourism website. Satisfaction with previous experiences stands out as the main predictor in both situations. We believe our findings will extend the understanding of consumer’s attitudes to online tourism services aiding managers and researchers interested in this topic.
Motives for playing social casino games and the transition from gaming to gambling (or vice versa): social casino game play as harm reduction?

Social casino games (i.e., online, free to play casino-like games) share many similar visual, auditory and structural game mechanics as gambling games. Given the similarities between the two activities, it is not uncommon for people to migrate from social casino gaming to gambling or vice versa. In the current work, we investigated whether motives for playing social casino games may play a role in the transition from gaming to gambling. We also assessed whether motives for playing social casino games as a way to reduce gambling cravings was predictive of self-reported changes in gambling behaviour 30 days later and whether this relationship was dependent on the activity first played. In a community sample of people who gamble and play social casino games ( N =228), those who played social casino games before beginning to gamble were more likely to report playing social casino games for social motives, or as a way to reduce gambling-related cravings, than people who gambled before playing social casino games. Additionally, we found that using social casino games as a tool to moderate gambling cravings was associated with self-reported decreases in gambling behaviour one-month later, but only among those who played social casino games before beginning to gamble. Results suggest that what game was played first (social casino games or gambling games) matters, especially for the clinical utility of social casino games as a harm reduction strategy. Resume Les jeux de casino sociaux (qui sont offerts gratuitement en ligne) partagent avec les jeux de hasard un grand nombre de caracteristiques visuelles, auditives et structurelles definissant la mecanique de jeu. Vu les ressemblances entre ces deux types de jeux, il n’est pas inhabituel pour les joueurs de passer de l’un a l’autre et inversement. Nous avons cherche a savoir trois choses : premierement, si les raisons qui motivent la pratique des jeux de casino sociaux influent sur la transition vers les jeux de hasard; deuxiemement, si ces motivations peuvent, en tant que moyen de reduire l’envie de jouer, etre un predicteur de changements de comportement au bout de 30 jours; et troisiemement, si ce lien depend de l’activite adoptee en premier. Notre echantillon recrute dans la collectivite comptait des adeptes des deux types de jeux ( N =228). Ceux qui s’adonnaient aux jeux de casino avant d’adopter les jeux de hasard ont ete plus nombreux que ceux qui avaient fait l’inverse a evoquer des motivations sociales ou la recherche d’un moyen de temperer leur envie de jouer. Le recours aux jeux de casino dans un but de moderation est associe a une diminution de la frequence de jeu un mois plus tard, mais seulement chez les personnes qui s’adonnaient aux jeux de casino avant de passer aux jeux de hasard. Selon nos resultats, l’activite pratiquee en premier joue bel et bien un role, en particulier en ce qui touche l’utilite des jeux de casino sociaux en tant que strategie de reduction des risques.
Self-Correcting Non-Chronological Autoregressive Music Generation

We describe a novel approach for generating music using a self-correcting, non-chronological, autoregressive model. We represent music as a sequence of edit events, each of which denotes either the addition or removal of a note—even a note previously generated by the model. During inference, we generate one edit event at a time using direct ancestral sampling. Our method allows the model to ﬁx previous mistakes such as incorrectly sampled notes and prevent the accumulation of errors which autoregressive models are prone to have. Another beneﬁt is a ﬁner, note-by-note control during human and AI collaborative composition. We show through human survey evaluation that our approach generates better re-sults than orderless NADE and Gibbs sampling.
Expanding the Cancer Neoantigen Peptide Repertoire beyond In silico Tools

CD8+ cytotoxic T cells recognise and kill cancer cells that present immunogenic peptides bound to the cell surface major histocompatibility complex class I (MHC-I) molecules. The immunogenicity of these peptides derives from them being recognised as non-self after their parent proteins are intracellularly processed and presented as peptide-major histocompatibility complex class I (pMHC-I) complexes. pMHC specific T cell receptor (TCR) recognition then leads to cytotoxic T cell response. Generally, robust pMHC-I binding is needed for a chance encounter with a pMHC specific TCR bearing CD8+ T cell derived from in vivo T cell evolution and thymic selection. As such, pMHC binding and stability are the key starting points towards understanding the T cell response. With current technologies, peptide and MHC interaction may be deduced from either direct pMHC binding/ stability assays or in silico prediction tools, and each method has its advantages and disadvantages (Table 1). Nonetheless, the ideal method should not exclude peptides that are potentially immunogenic. Hence there is continued need for more accurate high-throughput methods that assess the natural physico-biochemical interaction between peptide and MHC molecules.
Opleiding Informatica Strategic Gambling in DiminishingBridge

DiminishingBridge , or better known as “Boerenbridge” in the Netherlands, is a somewhat uncommon card game, known as the American card game “Oh Hell” as well. The goal of the game is for each player to earn as many or lose as few points as possible. At the end of the game, the player with the most points emerges as the victor. DiminishingBridge is a trick-taking card game with the element of trump cards as well. The game is split in two separate phases, a bidding phase and a playing phase. In this paper we will focus on exploring various agents with diﬀerent strategies to test their applicability within a game of incomplete information, their performance under various parameters and ﬁnally see if they are a worthy competitor against human players. The agents we will discuss are the “Random Agent”, “Trumping Agent”, “Rule Based Agent”, “Monte Carlo Agent” and “Monte Carlo Tree Search Agent”. The agents based on the Monte Carlo algorithms have speciﬁcally developed evaluation methods to allow the algorithms to work within this card game. Experimental results are presented; they show that the Monte Carlo Agent performs better than the other agents.
THE USE OF TERROIR PRODUCTS AS A TOOL FOR ONLINE DESTINATION BRANDING EXPERIENCE: CASE OF MOROCCAN TERROIR PRODUCTS

Terroir products can have an important added value to the promotion of a destination due to their association to a specific territory and history. They can contribute to different sectors of tourism: gastronomic tourism, rural tourism, ecotourism and health and wellbeing tourism. With this diversity, they can be used to create new attractions or enhance old ones as it can bring a distinguished touch to the experience. In this context, terroir products can be used in the branding of a destination, and as we are in a digitalized era, we can speak of online destination branding experience. Our objective is to understand if the tourism regional council of Agadir made use of terroir products of Agadir and its surroundings to promote the different tourism sectors of this area online, and to understand the actual online destination branding experience that the official website and social media of Agadir provide to potential tourists through these local products. To achieve this, we conducted a content analysis, a qualitative research method that helped us analyze the official online platforms of Agadir and its region.
G ROUNDING P LANNABLE L IFTED A CTION M ODELS FOR V ISUALLY G ROUNDED L OGICAL P REDICATES

We propose FOSAE++, an unsupervised end-to-end neural system that generates a compact discrete state transition model (dynamics / action model) from raw visual observations. Our representation can be exported to Planning Domain Description Language (PDDL), allowing symbolic state-of-the-art classical planners to perform high-level task planning on raw observations. FOSAE++ expresses states and actions in First-Order Logic (FOL), a superset of so-called object-centric representation. It is the first unsupervised neural system that fully supports FOL in PDDL action modeling, while existing systems are limited to continuous, propositional, or property-based representations, and/or require manually labeled input.
Reconstructing the sedimentary history of Lezetxiki II

 via their non-commercial personal homepage or blog  by updating a preprint in arXiv or RePEc with the accepted manuscript  via their research institute or institutional repository for internal institutional uses or as part of an invitation-only research collaboration work-group  directly by providing copies to their students or to research collaborators for their personal use  for private scholarly sharing as part of an invitation-only work group on commercial sites with which Elsevier has an agreement
Remote Patient Healthcare surveillance system based real-time vital signs

Today many people suffering from health problems like dysfunction in lungs and cardiac. These problems often require surveillance and follow up to save a patient's health, besides control diseases before progression. For that, this work has been proposed to design and developed a remote patient surveillance system, which deals with 4 medical signs (temperature, SPO2, heart rate, and Electrocardiogram ECG. An adaptive filter has been used to remove any noise from the signal, also, a simple and fast search algorithm has been designed to find the features of ECG signal such as Q,R,S, and T waves. The system performs analysis for medical signs that are used to detected abnormal values. Besides, it sends data to the Base-Station with a data block (ECG signals) that contains the problem. In addition, it generates an alarm to the physicians via ringing up mobile and SMS to overcome the internet disconnected. Also, the system has been designed to achieve precision, low cost, and low energy consumption. Three types of sensors has been used in this work, ECG, SPo2, and temperature sensors. Also, a sim800L GSM module has been used for communications, the main controller in this work is ESP32 unit.
Impact of Domestic Violence on Quality of Life among Housewives

The aim of this study was to find out the impact of domestic violence on quality of life among housewives and to identify the role of demographic variables (age, education, income, economic status, husbands education and job)on domestic violence.The sample was consisted of housewives taken from the different areas of Multan city by purposive sampling, because this research was categorized the population on the basis of characteristics (gender, age, education and marriage) and snowball sampling adopted because sample was hard to locate and to save time and money. Age range was between 25 to 45 years old. The sample size of this study was 300 and 244 house wives were approached but due to the sensitivity of the issue, only 200 agreed to participate. Domestic Violence Scale was used which further subdivided into five sub-scalesand scale was developed by Hussain et al. 1998 and contained total 35 items. Quality of Life Enjoyment and Satisfaction scale was used which was developed by Endicott et al. 1993 and consisted on15 items. The result shows that there is a significant impact of domestic violence on quality of life among housewives. The result also shows that there is no significant difference of education and social class on domestic violence. Furthermore, the results revealed a significant difference of age and marital period on domestic violence.
Effects of salicylic acid application on two almond cultivars under salinity stress

The effects of salinity stress on the physiological processes and biochemical compounds of plants were reported. Salicylic acid (SA), as one of the main phytohormones, is a signal molecule that alleviates the negative influences of salinity. This study was conducted to investigate the protective role of SA in improving the salinity tolerance of two almond cultivars. Two almond cultivars ('Tuono' and 'Sahand') grafted on the GN (Garnem) rootstock were exposed to different levels of salinity stress (0, 2, 6 and 8 dS·m-1) and treated with SA (0, 1 and 2 mM). The results showed that salinity stress significantly reduced the plant height, Fv/Fm, protein and total phenolic content (TPC), whereas Na and Cl content in roots, proline content and antioxidant enzymes activities, including superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), guaiacol peroxidase (POD) and glutathione peroxidase (GPX), significantly increased in response to salinity stress. Rootstock and scion diameter, and also leaves number of selected shoots significantly increased at 2 and 6 dS·m-1 of salinity, and then significantly decreased at 8 dS·m-1 of salinity. Furthermore, it was found SA treatment significantly alleviated the negative effects of salinity by enhancing morphological characteristics, Fv/Fm, accumulation of Na and Cl in roots, proline content, protein and TPC and also by enhancing the SOD, CAT, APX, POD and GPX activities. Taken together, the results showed that 'Sahand' cultivar treated with SA had a better response to salinity stress compared with 'Tuono' cultivar. Therefore, the use of 'Sahand' cultivar and application of SA could be recommended as a practical tool under salinity conditions.
Body Field: Structured Mean Field with Human Body Skeleton Model and
 Shifted Gaussian Edge Potentials

An efficient method for simultaneous human body part segmentation and pose estimation is introduced. A conditional random field with a fully-connected graphical model is used. Possible node (image pixel) labels comprise of the human body parts and the background. In the human body skeleton model, the spatial dependencies among body parts are encoded in the definition of pairwise energy functions according to the conditional random fields. Proper pairwise edge potentials between image pixels are defined according to the presence or absence of human body parts that are near to each other. Various Gaussian kernels in position, color, and histogram of oriented gradients spaces are used for defining the pairwise energy terms. Shifted Gaussian kernels are defined between each two body parts that are connected to each other according to the human body skeleton model. As shifted Gaussian kernels impose a high computational cost to the inference, an efficient inference process is proposed by a mean field approximation method that uses high dimensional shifted Gaussian filtering. The experimental results evaluated on the challenging KTH Football, Leeds Sports Pose, HumanEva, and Penn-Fudan datasets show that the proposed method increases the per-pixel accuracy measure for human body part segmentation and also improves the probability of correct parts metric of human body joint locations.
A laboratory study of soil conditions affecting emissions of nitrous oxide from packed cores subjected to freezing and thawing

Tenuta, M. and Sparling, B. 2011. A laboratory study of soil conditions affecting emissions of nitrous oxide from packed cores subjected to freezing and thawing. Can. J. Soil Sci. 91: 223-233. A series of laboratory experiments using a packed core soil assay was carried out to test several soil conditions affecting the emission of N2O (nitrous oxide) during thawing of soil. The assay consisted of a sandy loam soil packed to 1.1 Mg m-3, moistened to 80% water-filled pore space, and temperature treated to 4 or -20°C for 2.5 d; the emissions from thawing soil were then determined as the differences in N2O release rates of the temperature-treated soils when placed at 15°C. Nitrate addition to surface soil (0-10 cm) enhanced thaw emission. Thaw emissions, averaged for deeper collected soil (10-30 and 30-60 cm), was 0.3% with NO3- treatment and 1.2% without NO3- treatment of that for surface soil treated similarly. Higher thaw emission for surface soil was related to greater organic matter and microbial biomass C contents and denitrifying enzyme activity than deeper collections of soil. Increasing the bulk density of soil from 1.1, 1.2, and 1.25 Mg m-3 decreased thaw emission. A second freeze-thaw cycle of the highest compaction treatment resulted in an emission of 2.3% of the first freeze-thaw cycle. Acetylene increased thaw emission of N2O and more so for NO3- untreated than treated soil. Using the acetylene inhibition method, the N2O:N2 ratio of gas produced was higher for frozen (0.17) than cold (0.07) treated soil, respectively, without the addition of NO3-. The addition of NO3- increased the N2O:N2 ratio of gas produced with the ratio being 2.45 and 0.53 for frozen and cold-treated soil. The results are consistent with biological denitrification being a source of N2O with conditions promoting N2O production rather than consumption enhancing thaw emissions.