Miracle-dz/UniFAR-FTUs huggingface dataset:
Islamic heritage marketing: the Umrah experience

A potential visitor’s image of a destination and its attributes is likely to influence their behaviour before, during, and after their trip. However, there is a lack of research into Islamic destination image (Jafari & Scott, 2013; Stephenson, 2014). Existing studies have commented on the differentiation between the expectation formation of Muslim and non-Muslim tourists; however these are often restricted to more secular destinations such as Turkey. Moreover, much of the literature which focuses solely on the Muslim community fails to explore beyond the realms of religious satisfaction of their experiences. This paper explores the journey of experience of Muslim pilgrims during the Islamic pilgrimage to the Umrah. Globally, the Hajj is one of the greatest traveller movements, demonstrating a significant rationale for the study of Islam within the heritage tourism domain. Islamic texts, such as the Quran, endorse traveling with a view to attaining social, physical and spiritual objectives. As such, tourism of various categories is compatible with Islam and inspired by its principles. However, the Hajj and Umrah is a highly commanded activity encompassing devout and monetary planning. Therefore, for some Muslims Hajj is a sacred obligation rather than form of heritage tourism. With this in mind, religious pilgrimage is likely to have a very strong destination image in the minds of Muslim visitors. Therefore, this paper looks not only at sacred obligation but also attitudes such as hedonic value, motivations, socialisation, gift, and evidence. Therefore, our study contributes to a wider understanding of the perceptions and behavioural outcomes of visitors toward Islamic destination image. To do so, we develop a conceptual model based i=on the theory of the ‘commodity fetishism’. The term ‘commodity fetishism’ refers to the system through which capitalist societies treat ‘commodities as if value inhered in the objects themselves, rather than in the amount of real labour expended to produce the object’. Thus, this paper attempts to address two gaps, firstly examining the symbolic importance to pilgrims of material objects of pilgrimage, and secondly examining this symbolic experience in the Islamic context of Umrah. Our survey data was collected in a number of tourists agents within Iran from Muslim pilgrims preceding their visit to the Umrah and returning home. Structural equation modelling is tested with a sample of 538 visitors. The empirical validation of the conceptual model supports a majority of the research hypotheses. These findings contribute to a better understanding of Islamic destination image in the heritage tourism context and a series of implications are proposed.
Rheological behaviour in continental and oceanic subduction:
inferences for the seismotectonics of the Aegean Region

We reconstructed several rheological transects across the Aegean Region, comparing the behaviour in collisional versus subducting settings. We interpolated closely spaced 1D strength envelopes, realized through a dedicated MATLAB script, for determining the shallow lithospheric distribution of brittle and ductile layers. We mainly used literature data and geodynamic considerations to fix the parameters for the rheological modelling and took particular care in reproducing reliable thermal models. The results of the mechanical-rheological model highlighted the following features and differences between the northern continental collision and the southern oceanic subduction settings: i) a slightly shallower brittle-ductile transition (BDT) in the western sectors of the northern transects (~30-33 km) with respect to the southern ones (~40 km); ii) on the contrary, in the central-eastern sectors of the investigated area, corresponding to an extensional tectonic regime, the northern transects have a relatively deeper BDT (about 20-25 km) compared with the southern ones (about 15 km); iii) the occurrence of a thick, deeper brittle layer below the shallowest BDT, in the centraleastern sectors of the northern transects. We suggest that such regional differences are mainly related and attributable to the surface heat flow distribution (which directly affects the geothermal gradient) and to the tectonic and geodynamic context. The results of the rheological modelling in terms of depth extent of the brittle layer(s) have been compared with the depth distribution of available relocated seismicity, showing good agreement with the rheological layering proposed here. Finally, the depth of the shallowest BDT along the transects has been adopted as a constraint for the seismogenic layer thickness. Such information has been used to improve the seismotectonic characterization of selected crustal seismogenic sources crossing the transects, by estimating their maximum potential magnitudes on the basis of their geometrical features and consistency with the rheological layering.
Comparing the efficacy and safety of long and short acting drugs targeting Granulocyte Colony-stimulating Factor in cancer patients after chemotherapy: A systematic review and meta-analysis of randomized controlled trials

Background: Granulocyte Colony-Stimulating Factor (G-CSF) is widely targeted for the treatment of cancer patients after chemotherapy. However, the safety and efficacy comparisons of long (L-G-CSF) and short-acting (S-G-CSF) drugs targeting G-CSF are still lacking. Thus, herein, we attempted to address this issue by undertaking meta-analyses of existing studies using different drugs targeting G-CSF. Methods: The relevant studies were identified by searching Pubmed, EMBASE, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases. Febrile neutropenia (FN) was considered as the direct primary efficacy endpoint, while severe neutropenia (SN) and the duration of severe neutropenia (DSN) served as secondary efficacy endpoints. Bone pain (BP) was used as an indicator for safety analysis. All identified trials were assessed using the Cochrane Collaboration Tool and meta-analysis was performed using Review Manager 5.3 and STATA 15.0 software. Results: Our meta-analyses based on 20 randomized controlled trials (RCTs) revealed that L-G-CSF drugs including empegfilgrastim, L-G-CSF biosimilars, and pegfilgrastim were overall better in reducing FN incidence compared to S-G-CSF drugs like filgrastim and lenograstim (odds ratio [OR]=0.70, 95% confidence interval [CI]=0.54~0.92, p=0.01). Specifically, filgrastim resulted in higher FN risk than pegfilgrastim (OR=0.66, 95% CI=0.50~0.87, p=0.004). However, L-G-CSF and S-G-CSF drugs revealed no differences in terms of SN, DSN, and BP endpoints (SN: OR=0.92, 95% CI=0.78~1.09, p=0.33; DSN: RR=-0.04, 95% CI=0.17~0.09, p=0.53; BP: OR=0.87, 95% CI=0.67~1.14, p=0.31). Conclusion: Based on our analyses, L-G-CSF drugs in comparison to S-G-CSF drugs resulted in significantly lower FN incidence, but no difference in terms of the SN, DSN, and BP endpoints.
Gut microbiota differences between psoriatic arthritis and undifferentiated arthritis patients

Introduction Psoriatic arthritis (PSA) is a form of immune-mediated inflammatory arthritis. Studying the gut microbiota of PSA patients may offer new insights into the pathophysiology of this inflammatory joint disease. We designed a prospective study to examine gut microbiome from patients with PSA, primarily with enthesitis and dactylitis, and compared the data with undifferentiated arthritis patients (NO PSA), without enthesitis or dactylitis.Methods We enrolled nine PSA patients and 10 NO PSA patients in this study. The fecal samples were investigated by using 16S rRNA amplicon sequencing, followed by bioinformatics and statistical analyses. Results None of the available objective clinical laboratory data could differentiate PSA from the NO PSA subgroup. The microbiota result shows that Family: XIII_AD3011 is significantly higher in NO PSA patients than PSA patients’ stool samples (p=0.039). Megasphaera elsdenii in the PSA was 10000 times higher than in the NO PSA group.Conclusion Our results demonstrated high intra-group homogeneous and high inter-group heterogeneous microbiota. The clinical symptoms of either enthesitis or dactylitis link to the specific microbiota in the current study. In the future, a larger cohort and thorough biochemical study is needed for confirmation.
Some problems in the theory of solids

This thesis is concerned with the application of lattice dynamical theories to problems of current physical interest. The first sort is a calculation of the lattice dynamics of calcium fluoride, with a detailed discussion of the various types of model which may be used. On the basis of this discussion the Bern model is used in the numerical calculation and the results are presented in the form of dispersion curves and density-of-states curves. The second part of the thesis deals with the theory of the vibrations of crystal lattices perturbed by the introduction of defects. The object is to develop the theory into a form such that it becomes easy to perform numerical calculations, using existing lattice dynamical calculations, so that physical properties of defects which involve changes of force constants as well as mass changes may be computed. The third part deals with such a defect which has received some experimental attention recently, namely, the hydrogenation in calcium fluoride crystals. This is an interesting theoretical problem as not only is the theory of defects in crystal lattices concerned, but also that of anharmonicity. From the optical observations it is possible to calculate some of the anharmonic force constants involved.
Factors associated with Hepatitis B screening and completion of vaccination schedule among young psychoactive substance users in Kampala's informal settlements, Uganda

Background Young psychoactive substance users exhibit high-risk behaviours which can increase their risk to Hepatitis B infection. However, there is limited information on screening, and completion of the Hepatitis B vaccination schedule among young psychoactive substance users in informal settlements. Therefore, this study determined the factors associated with Hepatitis B screening, and completion of the Hepatitis B vaccination schedule among young psychoactive substance users in Kampala’s informal settlements, Uganda. Methods A cross-sectional study design was used. Respondent driven sampling was used to enroll 768 respondents from 12 informal settlements. Data were collected using a structured questionnaire and analysed using Stata version 14. A “modified” Poisson regression analysis was done to determine the factors associated with Hepatitis B screening while logistic regression was used to determine the factors associated with completion of the Hepatitis B vaccination schedule. Results Out of the 768 respondents, only 13.3% had ever screened for Hepatitis B and 2.7% had completed the Hepatitis B vaccine schedule. Being a female (aPR 1.61, 95% CI: 1.11-2.33), earning a monthly income >USD 136 (aPR 1.78, 95% CI: 1.11-2.86); completion of the Hepatitis B vaccination schedule (aPR 1.85, 95% CI: 1.26-2.70); lack of awareness about the recommended Hepatitis B vaccine dose (aPR 0.43, 95% CI: 0.27-0.68); and the belief that the Hepatitis B vaccine is effective in preventing Hepatitis B infection (aPR 3.67, 95% CI: 2.34-5.73) were associated with “ever screening” for Hepatitis B. Knowledge about the recommended Hepatitis B vaccine dose (aOR 0.06, 95% CI: 0.01-0.35); “ever screening” for hepatitis B (aOR 9.68, 95% CI: 2.17-43.16) and the belief that the hepatitis B vaccine is effective in preventing Hepatitis B infection (aOR 11.8, 95% CI: 1.13-110.14) were associated with completion of the Hepatitis B vaccination schedule. Conclusion Our findings indicate a low prevalence of Hepatitis B screening and completion of the Hepatitis B vaccination schedule among young psychoactive substance users in informal urban settings. It is evident that lack of awareness about Hepatitis B is associated with the low screening and vaccination rates. We recommend mass sensitisation of young psychoactive substance users in urban informal settlements on Hepatitis B.
EFFECT OF HARVESTING TIME ON HEMP (Cannabis sativa L.) SEED OIL LIPID COMPOSITION

The most common food using hemp (Cannabis sativa L.) is hempseed oil (HSO) because it is a rich source of nutrients and not nutrients with nutritional and functional beneficial effects for human body. Harvesting time can affect the quality of HSO, consequently the aim of this study was to evaluate the composition of lipid fraction, fatty acids, tocopherols and sterols, during ripening. Two cultivars, Futura 75 and Carmagnola, were collected at three ripening stages during August and September 2015 and their lipid composition was determined by analytical techniques. Among the fatty acid identified, the linoleic acid was the preponderant, followed by oleic, α-linolenic and palmitic acid. Linoleic:α-linolenic acid and polyunsaturated:saturated fatty acid ratios decreased and increased, respectively, in both varieties with ripening. γ-tocopherol was the preponderant tocopherol identified, Futura 75 showed the highest content in the middle of maturation while Carmagnola at the beginning. β-sitosterol was the predominant sterol identified in both varieties, followed by campesterol, Δ5-avenasterol, stigmasterol and Δ7-stigmasterol. Total sterol content increased and decreased with ripening in Futura 75 and Carmagnola, respectively. The study confirms that ripening stage affects the quality of hempseed oil, important parameter to consider for hemp seed producers.
A model for the entrepreneurial opportunity recognition proces

The goal of this study is to propose a model of the entrepreneurial opportunity recognition process. A number of research propositions was generated based on the analysis of the available literature, and then validated by the analysis of in-depth cases of opportunity recognition that resulted in the creation of successful entrepreneurial ventures. The study indicates that entrepreneurial opportunities are discovered through recognition rather than purposeful search; prerequisites for successful opportunity discovery are a combination of entrepreneurial awareness, access to extended social networks, and prior knowledge of markets and customer problems; prior knowledge could exist due to work experience, personal, non-work related experiences and events, or due to relevant to these markets education. Further, opportunity recognition does not require an exceptional level of creativity, and is not likely to involve a prior knowledge of the ways to serve markets.
Multitask Aspect_Based Sentiment Analysis with Integrated Bidirectional LSTM & CNN Model.

Sentiment analysis involves building the opinion collection and classification system. Aspect-based sentiment analysis focuses on the ability to extract and summarize opinions on specific aspects of entities within sentiment document. In this paper, we propose a novel supervised learning approach using deep learning techniques for multitask aspect-based opinion mining system that support four main subtasks: extract opinion target, classify aspect-entity (category), and estimate opinion polarity (positive, neutral, negative) on each extracted aspect of entity. Using extra POS layer to identify morphological features of words combines with stacking architecture of BiLSTM and CNN with word embeddings achieved by training GloVe on Restaurant domain reviews of the SemEval 2016 benchmark dataset in our proposed method is aimed at increasing the accuracy of the model. Experimental results showed that our multitask aspect-based sentiment analysis model has extracted and classified main above subtasks concurrently and achieved significantly better accuracy than the state-of-the-art methods.
A Deep Learning (Neural Network) Approach for ECG Heartbeat Classification: Arrhythmia Detection

: Nearly 17 million people die every year due to cardiovascular disease according to World Health Organization and one of the diseases associated with the human heart is arrhythmia. Arrhythmia is the irregularity and abnormality of heartbeat rhythm. To detect arrhythmia, ECG (Electrocardiogram) is used for diagnosing it, but in order to interpret well ECG signals, many automated analyses method have been proposed over the years but not all gave a satisfactory result. However, Deep learning especially Convolutional Neural Network has been successfully used for the detection and classification of ECG signal because it is an end to end model, which means it does not require pre-processing before network training except normalizing the dataset. In this thesis, a 1D-Convolutional Neural Network model (1D-CNN) was proposed, which is mainly used for signal and time-series data. A total of 7636 consisting of 5 different classes of arrhythmias were extracted which includes Normal sinus rhythm n, Atrial Premature beat, Premature ventricular contraction, Atrial fibrillation, and Atrial flutter from the MIT - BIH Arrhythmia database. By experimenting with 5 different 1D-CNN layered model, different results were achieved. The results obtained all showed that increasing or decreasing the number of layers with respect to changing the values of hyperparameters can affect performance results of a network.
Disney Film Genres and Adult Audiences: A Tale of Renegotiated Relationships

Disney films occupy a special place in the viewing habits of children, but their relationships with adult audiences are underappreciated and under-researched. At the same time, many assumptions are made about the concept of a Disney film, which is distinctive enough to warrant being described as a film genre but has not yet been described as such. Using an innovative mixed methods approach, this research investigates the ways in which adult audiences negotiate and renegotiate their relationships with Disney films. To do so, the research first sets about identifying what a Disney film is, and therefore defining a Tangible Disney Genre based on an analysis of Disney’s film output. An output survey analysing data based on 390 Disney films released between 1937 and 2015 allows a more comprehensive understanding of the Disney film than has previously been offered. Following analysis of the tangible film output, attention turns to the audiences of Disney films, from fans to antagonists. Building on previous work by the Global Disney Audiences Project (Wasko et al., 2001), the research employs a sample survey and focus groups to define a Disney genre that is grounded in shared audience perceptions. This Fantasy Disney Genre is based on data drawn from over 3,500 participants. Having established the Tangible and Fantasy Disney Genres, the two concepts are compared alongside evidence drawn from interviews and the autoethnographic experiences of the author to determine the effects of any differences and similarities between the genres. Within the comparisons between the two Disney genres is found the space for adult audiences to (re)negotiate their relationships with Disney films. The outcomes of the research include methodological innovations, an updated and comprehensive examination of Disney audiences, and establishment of Disney genres based on both the Hollywood studio’s tangible film output and the perceptions of adult audiences.
Peer Effects and Risk-Taking Among Entrepreneurs: Lab-in-the-Field Evidence

We study how social interactions influence entrepreneurs' attitudes toward risk. We conduct two risk-taking experiments within workshops organized for young Ugandan entrepreneurs. Between the two experiments, the entrepreneurs participate in a networking activity where they build relationships and discuss with each other. We collect detailed data on peer network formation and on participants' choices before and after the networking activity. Our design implicitly controls for homophily effects (i.e. the tendency of individuals to develop relationships with people who have similar characteristics). We find that risk aversion is affected by social conformity. Participants tend to become more (less) risk averse in the second experiment if the peers they discuss with are on average more (less) risk averse in the first experiment. This suggests that social interactions play a role in shaping risk preferences.
Identification of Protein Changes in the Urine of Hypothyroid Patients Treated with Thyroxine Using Proteomics Approach

The thyroid gland and thyroid hormones control a multitude of homeostatic functions including maintenance of fluid and electrolyte balance and normal functioning of the kidneys. Thyroid dysfunction alters the sytemic hemodynamic and metabolic balance, thereby affecting the kidney. In this study, we aimed to identify and characterize the urinary proteome of the patients with hypothyroidism. An untargeted proteomic approach with network analysis was used to identify changes in total urinary proteome in patients with newly diagnosed overt hypothyroidism. Urine samples were collected from nine age-matched patients’ before and after l-thyroxine treatment. Differences in the abundance of urinary proteins between hypothyroid and euthyroid states were determined using a two-dimensional difference in gel electrophoresis (2D-DIGE) coupled to matrix-assisted laser desorption and ionization time-of-flight (MALDI TOF) mass spectrometry. Alterations in the abundance of urinary proteins, analyzed by Progenesis software, revealed statistically significant differential abundance in a total of 49 spots corresponding to 42 proteins, 28 up and 14 down (≥1.5-fold change, analysis of variance (ANOVA), p ≤ 0.05). The proteins identified in the study are known to regulate processes related to transport, acute phase response, oxidative stress, generation of reactive oxygen species, cellular proliferation, and endocytosis. Bioinformatic analysis using Ingenuity Pathway Analysis (IPA) identified dysregulation of pathways related to amino acid metabolism, molecular transport, and small-molecule biochemistry and involved the MAPK kinase, vascular endothelial growth factor (VEGF), PI3 kinase/Akt, protein kinase C (PKC), signaling pathways. The identified proteins were involved in the regulation of thyroglobulin (Tg) and thyrotropin (TSH) metabolism. Alterations in their levels indicate the presence of a compensatory mechanism aimed at increasing the regulation of Tg in the hypothyroid state.