Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying Halal Tourism and Hospitality (Opportunities and Challenges) in Egypt

: Halal tourism is a modern phenomenon of the growth of the halal industry. There are numerous terms showing the significance of the Islamic travel industry as Sharia Tourism, Halal Tourism, Halal Travel, or Moslem friendly destination (Abdullah, 2020). The study was made through guest questionnaire, which included a group of 17 hotels and the number of 15 tourism companies. The chosen of the hotels were due to variety of the locations. The study was conducted from September 2020 to March 2021. 140 questionnaire forms were received only 110 completed forms were valid (78.5 % response rate). The study results showed that there is a statistically significant difference between halal tourism and hospitality concerning guests’ gender. Moreover, there are statistically significant relations between halal tourism and hospitality dimensions. Also, there is a statistically significant effect of the halal tourism and hospitality dimensions at guests’ most influential factor to the guest behavioral intentions. Findings recommended that identify the characteristics of Halal tourism and hospitality as a modern concept in the field of tourism and hospitality. Adding a slogan and logo in a specific shape or drawing for the word halal so that it is placed in distinctive places in the hotel The study focused on determining the components of halal tourism and the pattern of hospitality in Egypt and the criteria for the optimal application of this pattern in Egypt, specifically in the Hurghada region. The study can be expanded to include other areas such as Luxor, Aswan, Cairo and Sharm El Sheikh. The study can also be expanded to include international Islamic and non-Islamic experiences that lead the application of the concept of halal tourism and hospitality and how to benefit from their experiences, and the adoption of a positive global perception of halal tourism and hospitality by all consumers around the world
Current Status of Urdu on Twitter

: Language is the medium of communication and interaction in words or sign format. Easy access to mobile held devices and popularity of social media has revolutionized the way people used to communicate with each other in the past. The information generated in the past two years is many times greater than the information generated since data storage technology inceptions. The Urdu language has emerged since the 6th century from other languages like Arabic, Hindi, Persian, Prakrit and Sanskrit, and it is the national language of Pakistan. Even after being used widely in all public, official and media use of this language is limited to speaking and reading. The study to analyze the use of Urdu language on social media was conducted during the general elections of Pakistan, 2018. With the expansion of the internet, a new colony of the digital world has come into existence which communicates. This study utilized Twitter as a source of information to assess how Urdu as a language has flourished over this Social Media platform. The results showed the varying use of Urdu and Roman Urdu. The study was able to prove that the language had evolved and integrated even into Social Media and its usage is mostly during occasions and varying durations.
Model Sensitivity Study of the Direct Radiative Impact of Saharan Dust on the Early Stage of Hurricane Earl

Current studies report inconsistent results about the impacts of Saharan dust on the development of African Easterly Waves (AEWs), the African Easterly Jet (AEJ), and tropical cyclones (TCs). We present a modeling case study to further elucidate the direct radiative impacts of dust on the early development stage of a TC. We conducted experiments using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem-V3.9.1) to simulate Hurricane Earl (2010) which was influenced by the dusty Saharan Air Layer (SAL). We used the aerosol product from ECMWF MACC-II as the initial and boundary conditions to represent aerosol distribution, along with typical model treatment of its radiative and microphysical effects in WRF. Our simulations at 36-km resolution show that, within the first 36 h, the presence of dust weakens the low-pressure system over North Africa by less than 1 hPa and reduces its mean temperature by 0.03 K. Dust weakens and intensifies the AEJ at its core and periphery, respectively, with magnitudes less than 0.2 m/s. Dust slightly shifts the position of 600 hPa AEW to the south and reduces its intensity prior to impacting the TC. Finally, TC with dust remains weaker.
Evaluating the Capability of Unmanned Aerial System (UAS) Imagery to Detect and Measure the Effects of Edge Influence on Forest Canopy Cover in New England

Characterizing and measuring the extent of change at forest edges is important for making management decisions, especially in the face of climate change, but is difficult due to the large number of factors that can modify the response. Unmanned aerial systems (UAS) imagery may serve as a tool to detect and measure the forest response at the edge quickly and repeatedly, thus allowing a larger amount of area to be covered with less work. This study is a preliminary attempt to utilize UAS imagery to detect changes in canopy cover, known to exhibit changes due to edge influences, across forest edges in a New England forest. Changes in canopy cover with increasing distance from the forest edge were measured on the ground using digital cover photography and from photogrammetric point clouds and imagery-based maps of canopy gaps produced with UAS imagery. The imagery-based canopy gap products were significantly more similar to ground estimates for canopy cover (p value > 0.05) than the photogrammetric point clouds, but still suffered overestimation (RMSE of 0.088) due to the inability to detect small canopy openings. Both the ground and UAS data were able to detect a decrease in canopy cover to between 45–50 m from the edge, followed by an increase to 100 m. The UAS data had the advantage of a greater sampling intensity and was thus better able to detect a significant edge effect of minimal magnitude effect in the presence of heavy variability.
Is Working from Home Good for Work-Life Balance, Stress, and Productivity, or does it Cause Problems?

This study aims to investigate the impact of employee productivity while working from home for a long period due to the COVID-19 pandemic quantitatively from the aspects of work-life balance, and employee stress levels. Several previous studies have explained that working from home (WFH) is known to contribute positively to work productivity. However, in contrast, several other studies have shown that working from home harms employee productivity. This research was conducted in Jakarta, Indonesia. The study sample comprised 135 employees who worked from home and the analysis was carried out using LISREL 8.5. The results of this study indicate that work-life balance and work-related stress affect work productivity. Meanwhile, working from home does not affect work productivity. The findings of this study show surprising results and can influence changes in organizational policies and strategies for collaborating between working from home and working from an office for employees. © 2021 Conscientia Beam. All Rights Reserved.
Evaluation of Air Quality in Damietta Harbor Region

Ship emissions in port areas are dispersed mainly concerns sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter, . etc., in the atmosphere, affecting air quality and jeopardizing people's health and quality of life. This study aims to assess air quality of Damietta Harbor Region. Implementing continuous monitoring of major air pollutants (NO2, SO2, CO, O3 and PM10) were found in Damietta harbor by using Ambient Air Quality Monitoring Station (AAQMS) from January 2013 to December 2015. According to the obtained results, the annual mean levels of NO2, SO2, CO and O3 in Damietta Port Area in 2013, 2014 and 2015 were 29.92, 41.50 and 29.12 μg/m of NO2, 26.68, 27.69 and 24.83 μg/m of SO2 , 5.31, 2.29 and 6.23 mg/m of CO and 33.10, 41.00 and 39.43 μg/m of O3, respectively. These results did not exceed the AQL as stipulated in the Egyptian Environmental Law 4/94 and its executive regulations (80, 60 μg/m) for NO2 and SO2, and (10 mg/m for 8 hrs.) for CO, and (120 μg/m for 8 hrs.) for O3. Whereas, the annual mean levels of PM10 in Damietta Port Area were 83.56 and 72.32 μg/m, in 2013 and 2015 respectively, found higher than AQL as stipulated in the Egyptian Environmental Law 4/94 and its executive regulations (70μg/m).
Impact of Non-Pharmacological Intervention of Primary Osteoporosis in Elderly People at Suez Canal University Hospitals

Primary osteoporosis is simply the form seen in older persons and women postmenopausal in which bone loss is accelerated over that predicted for age and sex. The study aim is to evaluate the impact of the non-pharmacological intervention of primary osteoporosis in elderly people. Design: a quasi-experimental research study. Sampling & setting: A purposive sample consisted of 30 elderly patients, both sexes were recruited from bone density measurement unit at Suez Canal University Hospital. Tools: Patient’s assessment sheet, Body Mass Density by (Dual energy x-ray absorptiometry). A health education intervention was designed to improve osteoporotic patients’ health condition and was evaluated two months after intervention. Results: There was a positive improvement regarding activities of daily living. Regarding sport, the mean of sporting time was 37.0±59.7 changed to 59.3±53.2 (post intervention), while exposure to the sun was 6.7% changed to 34.2% of post 2 months. Conclusion: Apply onpharmacological intervention by improving elderly practice exercise, take balanced diet contain calcium and prevent risk factors that lead to lack absorption of calcium, slightly enhance activities of daily living for study subjects. Recommendation: Education about risk factors and preventative measures of osteoporosis need to start early in perimenopausal years and not be delayed to postmenopausal years.
Classificação de Esteatose Hepática Não Alcoólica em Imagens Térmicas da Região do Fígado Utilizando Redes Neurais Convolucionais

A esteatose hepática não alcoólica (DHGNA) é a doença de fígado de maior incidência no mundo, afetando cerca de 1,5 bilhão de pessoas. Ela possui uma alta taxa de mortalidade e, se não for diagnosticada e tratada cedo, pode evoluir para sérias complicações no fígado, portanto seu diagnóstico deve ser rápido e eﬁciente. A aferição da temperatura do corpo humano via termograﬁa é um método não invasivo para detectar a DHGNA. Neste contexto, o objetivo deste trabalho é apresentar um método para classiﬁcação de DHGNA em imagens de termograﬁa de fígado. Utilizando redes neurais convolucionais e técnicas de processamento de imagens, o método proposto foi capaz alcançar uma acurácia de 96%, sensibilidade de 91% e especiﬁcidade 97%.
Socio-Ecological Correlates of Physical Activity in Children with Autism Spectrum Disorder: A Cross-Sectional Study in Spain

ABSTRACT This study aims to analyse the Physical Activity(PA) levels of a group of children with ASD and explore certain socio-ecological variables that may be correlated with these levels. The participants of this cross-sectional study were 20 boys and 5girls with ASD, aged between 4 and 14 years. A socio-demographic questionnaire was designed expressly to obtain socio-demographic data, and PA levels were measured with a triaxial accelerometer (ActiGraph, wGT3X-BT). After performing a descriptive analysis, we analysed the relationship between the variables through Spearman correlations and performed the Kruskal Wallis test to compare the results of moderate, vigorous and very vigorous PA according to the following factors: age, gender, PA of their parents or tutors, curricular adaptations, medication, number of siblings, attention deficit, impulsiveness hyperactivity, inattentive-ness, inability to achieve success, movement difficulties, learning difficulties and fearfulness. Finally, we performed logarithmic 4th-order regression analysis for the practice of moderate-intensity activity according to the participants’ age. The findings show that variables in the individual domain (i.e. gender, age, co-morbidity/features of ASD and curricular adaptations) and family domain (i.e. presence of siblings and parents’ PA) may be related to the PA levels of ASD children. This investigation shows the importance of considering socio-demographic aspects in children with ASD in order to promote healthy and active lifestyles.
A Review on Remote Sensing Data Fusion with Generative Adversarial Networks (GAN)

In the past decades, remote sensing (RS) data fusion has always been an active research community. A large number of algorithms and models have been developed. Generative Adversarial Networks (GAN), as an important branch of deep learning, show promising performances in variety of RS image fusions. This review provides an introduction to GAN for remote sensing data fusion. We briefly review the frequently-used architecture and characteristics of GAN in data fusion and comprehensively discuss how to use GAN to realize fusion for homogeneous RS data, heterogeneous RS data, and RS and ground observation data. We also analyzed some typical applications with GAN-based RS image fusion. This review takes insight into how to make GAN adapt to different types of fusion tasks and summarizes the advantages and disadvantages of GAN-based RS data fusion. Finally, we discuss the promising future research directions and make a prediction on its trends.
High Plasma Levels of Aβ1-42 Affect Monocytes and Macrophages via Biphasic Effects on Myeloid-Derived Suppressor Cells and Granulocyte-Monocyte Progenitors in Mouse Models of Alzheimer’s Disease

Background: Microglia play a crucial role in the pathogenesis of Alzheimer’s disease (AD). Plasma Aβ1-42 levels significantly increase 15 years before the onset of dominantly inherited AD. The effects of high plasma levels of Aβ1-42 on monocytes and macrophages, the hematogenous counterparts of microglia, remain unclear.Methods: We investigated the effects of plasma Aβ1-42 on peripheral monocytes and macrophages in three animal models, including 7- and 11-month-old female APPswe/PS1dE9 (APP/PS1) transgenic (Tg) mice, wild-type (Wt) parabiotic with Tg (paWt(Wt-Tg)) mice, and Wt mice.Results: We found that high plasma levels of Aβ1-42, in younger (7-month) AD mice significantly decreased the amounts of pro-inflammatory macrophages, myeloid derived suppressor cells (MDSCs), granulocyte-monocyte progenitors (GMP), and the plasma levels of interleukin-6 (IL-6). In older (11-month) AD mice, high plasma levels of Aβ1-42 significantly increased the amounts of pro-inflammatory macrophages, MDSCs, GMPs, the plasma levels of IL-6 and TNF-α, and the brain infiltration of bone marrow-derived macrophages (BMDMs). However, high plasma levels of Aβ1-42 consistently increased the amounts of monocytes and the proliferation of bone marrow cells (BMCs) without affecting the phagocytic function of macrophages on Aβ1-42.Conclusion: The response of mouse AD model suggests that a high plasma level of Aβ1-42 affects monocytes and macrophages via its biphasic effects on MDSCs and GMPs. We suggest that intervening in the effects of plasma Aβ1-42 on monocytes and macrophages might offer a new therapeutic approach to AD.
A Hybrid Multi-Domain Index Modulation for Covert Communication

In this letter, a hybrid multi-domain index modulation scheme based on spreading codes domain and beam domain is proposed. In our design, the information bit stream is divided into two parts: one for covert transmission using the index of spreading code and the other using the directional modulation to improve bit error ratio (BER) performance in the desired direction and to prevent eavesdropping. Then, based on joint boundaries and statistical theory, the average error probabilities of legitimate users and eavesdroppers are derived. Moreover, we analyze the average BER and validate through simulation results that the proposed hybrid multi-domain scheme is capable of achieving better BER performance compared to conventional coded wireless communication systems.
Gut thinking and eye tracking: evidence for a central preference heuristic

ABSTRACT People prefer the central item in an array of items. This could be due to applying a decision heuristic or greater visual attention to the central item. We manipulated task instructions as participants chose one from three consumer items. The instructions were to “think carefully” in one block and to “use gut feeling” in another. A centrality preference appeared only in the “gut” condition, which was also negatively correlated with self-reported reflective thinking disposition (Need-for-Cognition). Eye-movement patterns, however, were equivalent across both instruction conditions with more frequent and longer fixations on the middle items. The findings demonstrate an effect of instructions on the centrality preference for non-identical consumer items, and provide evidence for a heuristic cause of the centrality preference rather than the allocation of visual attention. The results also show that the centrality preference is more likely to be present when people choose quickly and intuitively.
Importance of a turbulent river section below a giant waterfall for fish spawning: Indications from drift and dispersion patterns of early life stages

Seasonal drift patterns of fish eggs and larvae were analysed along the river section downstream the Iguaçu River Falls to the confluence with Paraná River, over three spawning seasons. This river section is situated in a narrow rocky canyon characterized by a steep slope, which leads to highly turbulent and fast flowing conditions in a series of rapids. Water transit time in this river stretch of 20 km was short (5–11 h), the flow‐velocity in rapids can reach values of more than 6 m s−1. Densities of drifting eggs and larvae varied between three spawning seasons, and differences of eggs were more pronounced compared to larvae. Eggs and larvae were observed all along the river section. A spatial, longitudinal distribution pattern of larvae was found, with higher numbers in the upper section. A distinct spatial sequence of different embryonic stages was observed, with the highest abundance of early stages. Larval densities were low in comparison to egg densities, and preflexion and flexion stages predominated. High abundance of buoyant eggs in drift indicates fish spawning in rapid and turbulent waters of the Iguaçu River, particularly downstream from the Iguaçu Falls. Rainfall and turbidity may be the main trigger for spawning. Spawned eggs drifted quickly towards the confluence, most are likely to hatch in the Paraná River, while larvae disperse to nursery habitats even in the river section below the falls. Thus, inshore zones along the whole stretch provide nursery habitats for larval development of fish species exhibiting different reproductive strategies.
Prevalence of Depression and Its’ Risk Factors among Higher Secondary School Students

As adolescence is a transitional stage in which a person's physical and psychological development and transformation are limited to the time between puberty and legal adulthood. It is commonly associated with the onset of a variety of mental health or adjustment problems. This study was to find out the incidence of depression and the factors that contribute to it among higher secondary school students. A descriptive, cross-sectional study was conducted among 100 adolescents who were selected by simple random sampling technique. The socio-demographic information, Perceived Social Support scale and Patient Health Questionnaire (PHQ-9) were adopted to collect the data. Descriptive and Inferential statistics was used to analyse the collected data. In this study, 52% of the adolescents did not have depression, whereas 18% had moderate, 8% had moderate to severe depression and 2% of them had severe depression. Nearly 68% of students had a higher social support perception. The type of family and living status of parents had significant relationship with the level of depression among adolescents at p = 0.01. The study concludes that depression and mental distress among these adolescents may be alleviated by boosting their perceived degree of social support and self-esteem through a variety of methods such as family support, counselling at schools and workshops on self – management skills etc.
Uma Avaliação de Arquiteturas de Aprendizado Profundo para a Classificação de Úlceras do Pé Diabético

Uma complicação causada pelo diabetes mellitus é o aparecimento de feridas situadas na região dos pés denominadasúlceras do pé diabético. O tratamento tardio pode acarretar o surgimento de infecção ou isquemia da úlcera que, em estado avançado, pode ocasionar a amputação dos membros inferiores. Neste trabalho foi realizado um comparativo do desempenho de diversas arquiteturas de aprendizado profundo pré-treinadas na classiﬁcação de imagens deúlceras do pé diabético. Nossa avaliação levou em consideração quatro cenários, três binários Saudável vs Úlceras; Saudável vs Isquemia; Saudável vs Infecção e um multiclasse Saudável vs Úlcera vs Isquemia vs Infecção vs Infecção e Isquemia. Os resultados alcançados demostram que a nossa proposta consegue classiﬁcar tais imagens, visto que, nos testes realizados o índice Kappa atingiu valores considerados "Excelentes". Contudo, para o problema multiclasse ainda é necessário aprimorar o uso dessas técnicas.
Secure Distributed Mobile Volunteer Computing with Android

Volunteer Computing provision of seamless connectivity that enables convenient and rapid deployment of greener and cheaper computing infrastructure is extremely promising to complement next-generation distributed computing systems. Undoubtedly, without tactile Internet and secure VC ecosystems, harnessing its full potentials and making it an alternative viable and reliable computing infrastructure is next to impossible. Android-enabled smart devices, applications, and services are inevitable for Volunteer computing. Contrarily, the progressive developments of sophisticated Android malware may reduce its exponential growth. Besides, Android malwares are considered the most potential and persistent cyber threat to mobile VC systems. To secure Android-based mobile volunteer computing, the authors proposed MulDroid, an efficient and self-learning autonomous hybrid (Long-Short-Term Memory, Convolutional Neural Network, Deep Neural Network) multi-vector Android malware threat detection framework. The proposed mechanism is highly scalable with well-coordinated infrastructure and self-optimizing capabilities to proficiently tackle fast-growing dynamic variants of sophisticated malware threats and attacks with 99.01% detection accuracy. For a comprehensive evaluation, the authors employed current state-of-the-art malware datasets (Android Malware Dataset, Androzoo) with standard performance evaluation metrics. Moreover, MulDroid is compared with our constructed contemporary hybrid DL-driven architectures and benchmark algorithms. Our proposed mechanism outperforms in terms of detection accuracy with a trivial tradeoff speed efficiency. Additionally, a 10-fold cross-validation is performed to explicitly show unbiased results.