Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring the Effect of Healthcare Service Quality Dimensions on Patient’s Satisfaction in The Algerian Private Sector

There is a gap in marketing literature related to impact of service quality dimensions on perceived service quality and patient satisfaction, in the private healthcare industry. The healthcare system is responsible for improving the general population’s health in a country. To differentiate from competitors, the quality of service is mainly considered a critical success factor for hospitals (Azmit et al., 2017). Therefore, competition is essential for improving quality and patient satisfaction in healthcare institutions (Kitapci et al., 2014). This article aims to determine the relationship between health service quality dimensions and patient satisfaction in the healthcare sector. Specifically, the paper seeks to find out the most critical dimensions of service quality, which is used to evaluate the characteristics of private healthcare service quality as perceived by patients. A field study was carried out on a sample of 208 patients in Tlemcen city in Algeria. The questionnaire developed for this study was based on a SERVQUAL model specifically, based on Parasuraman, Zeithaml, and Berry, (1985) variables that identified the influence of five dimensions (i.e., reliability, tangibility, assurance, responsibility, and empathy) in healthcare service environments on patient satisfaction. The results have found after the application of structural equation modelling that: reliability, tangibility, assurance, responsibility was more significant in contributing to patient satisfaction, while empathy was not significant. This indicates that patients tend to have a positive perception about the health service if they consider the perceived quality of the health service to be credible, reliable, tangible, and responsive, even though they may feel that the health provider does not empathize with them. Hence, healthcare industry practitioners can consider this model as an instrument to assess healthcare and help improve their service quality. Therefore, service provider managers can use this instrument to assess private hospital service quality in Algeria and other African countries.
Analysing and modelling the effects of galactic cosmic rays on the Earth’s atmosphere over daily timescales

In recent years, a range of detailed palaeoclimatic reconstructions have shown indications of a connection between changes in solar activity and Earth’s climate. However, a process that may explain such a relationship has yet to be reliably demonstrated. One proposed mechanism concerns the theoretical link between the solar-modulated galactic cosmic ray (GCR) flux and Earth’s cloud cover. Several microphysical pathways have been suggested which could account for this relationship, including (i) changes in the concentration of cloud condensation nuclei by an ion-mediated growth of aerosol particles, and (ii) the accumulation of charge at cloud boundaries predicted to influence the ability of cloud droplets to grow by scavenging processes. This work uses an original epoch-superpositional (composite) methodology to present new indications of statistically significant relationships between the rate of GCR flux (measured from neutron monitor sites across the globe) and changes in the rate of numerous large-scale atmospheric parameters (derived from satellite, reanalysis and weather station datasets) over daily timescales. Attempts are made to reproduce the observed anomalous atmospheric responses within a general circulation model. The results strongly suggest that some of the observed anomalies may be causally related to cloud changes and, furthermore, provide some support for possible links between the GCR flux, cloud anomalies and atmospheric responses. This relationship appears to be sensitive to changes in the rate of GCR flux and is also likely constrained by internal conditions.
Parathyroid Crisis as Presentation of Atypical Parathyroid Adenoma: Two Diagnostically Challenging Cases

Atypical parathyroid adenoma (APA) is a rare cause of primary hyperparathyroidism (PHPT) and represents a diagnostic challenge since it is an intermediate form of parathyroid neoplasm of uncertain malignant potential with atypical histological features that require differential diagnosis of parathyroid carcinoma (PC). We present 2 cases of parathyroid crisis as a presentation of APA. The first case was that of a 56-year-old man with parathyroid crisis, constitutional syndrome, and anemia, with evidence of APA after en bloc resection, evolving with hungry bone syndrome after surgery and curation criteria at 6 months after parathyroidectomy (PTX). The second case was a 64-year-old woman with acute chronic kidney disease and parathyroid crisis, with evidence of APA after selective PTX and >50% reduction in parathyroid hormone levels after surgery; however, persistent PHPT at 6 months post-surgery was observed. These cases represented a diagnostic challenge due to their rare clinical presentation (parathyroid crisis), with a heterogeneous spectrum of target organ damage and infrequent symptoms (constitutional syndrome and acute chronic renal disease), in turn caused by a rare pathology (APA). The presentation of these patients may be indicative of PC; however, histopathological diagnosis is a key to the diagnosis of APA. The differential diagnosis of APA vs. PC in clinical practice is indispensable.
Promoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement

Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive apps designed to support the teaching of programming concepts are becoming ever more popular. However, in non-CS majors, CT might not be perceived as essential, and students might lack the motivation to engage with such tools in order to acquire solid CT skills. This article presents a field study conducted with 115 students during a full semester on a novel computational notebook environment. It evaluates computational notebooks and CT skills in an introductory course on information technology for first-year undergraduates in business and economics. A multidimensional evaluation approach makes use of pre- and post-test surveys, lectures, and self-directed laboratory sessions tracking analytics. Our findings suggest that, in the process of learning CT for non-CS students, engagement in active learning activities can be a stronger determinant of learning outcomes than initial knowledge. Furthermore, gamifying computational notebooks can serve as a strong driver of active learning engagement, even more so than initial motivational factors.
Human height and weight classification based on footprint using gabor wavelet and K-NN methods

Height and weight are parameters to identify a person, especially for a forensic. To identify height and weight is usually done manually. In addition to manually using height measuring devices and scales, you can also use information related to the foot length. There is a relationship between height and foot length can be expressed in the correlation coefficient (r) as same as for weight. Therefore, in this study, a system for measuring human height and weight based on images of the footprint is implemented on Android. The methods used in this study are Gabor Wavelet and k-Nearest Neighbor (k-NN). The simulation results generate the best accuracy of 75%. The system can also used to categorize the ideal body level according to the Body Mass Index (BMI). The system is able to process images with an average computation time of 8.92 seconds.
Localization in Unprecedentedly Crowded Airspace for UAVs and SUAVs

The unprecedented proliferation of Unmanned Aerial Vehicles (UAVs), and Swarm Unmanned Aerial Vehicles (SUAVs) has garnered considerable attention from industry and academia owing to their extensive landscape of applications from disaster relief towards smart agriculture. However, flying several UAVs at once poses many challenges to safely and efficiently localize and monitor them. Further, they need to maintain their formation distance to avoid collision between team members and any environmental obstacles. Besides, SUAVs are mainly equipped with an on-board Global Positioning System (GPS) receivers to obtain their positions, but they are not accurate enough and suffer from several vulnerabilities that restrict their applications. Thus, in GPS-denied situations, the acquisition of the positions of UAVs can be assisted by alternative technologies and solutions. This paper is one of the foremost in-depth work that presents, the topic of localization of SUAVs from various perspectives including current research challenges on positioning systems, telecommunication, path planning, along with future opportunities on automated delivery services such as medicine, a remote inspection of industrial sites, and precision agriculture.
Role of saccharomyces boularii in acute watery diarrhea in children between 2 months- 5 years

Background: Acute diarrhea kills more than 1.5 million children under 5 years of age every year globally, and is the second most common cause of death in this age group. The present study was conducted to assess the role of saccharomyces boularii in acute watery diarrhea in children between 2 months5 years. Materials & Methods: 70 children of acute watery diarrhea between 2 months5 years were divided into 2 groups. Group I received the active product (S. boulardii) 250 mg twice a day for 5 days and oral rehydration solution (ORS)and zinc and group II received ORS and zinc only. The duration of diarrhea and consistency and frequency of stools were recorded. Results: Group I had 20 males and 15 females and group II had 18 males and 17 females. In group I, stool frequency >3 was seen in 35 on day 1, 30 on day 2, 25 on day 3, 10 on day 4 and in 35, 32, 28, 24 and 6 in group II respectively. The difference was significant (P< 0.05). The stool consistency liquid was seen in 35 on day 1, 32 on day 2, 4 on day 4and 35 on day 1, 33 on day 2, 20 on day 3, 12 on day 4, 8 on day 5 and 1 on day 6 in group I and II respectively. The difference was significant (P< 0.05). Conclusion: Saccharomyces boulardii shortens the duration of diarrhea and normalizes stool consistency and frequency.
Physics from time variability of the VHE Blazar PKS 2155-304

Blazars are the principal extragalactic sources of very high energy gamma-ray emission in the Universe. These objects constitute a sub-class of Active Galactic Nuclei whose emission is dominated by Doppler boosted non-thermal radiation from plasma outﬂowing at relativistic speeds from the central engine. This plasma outﬂow happens in the form of large-scale collimated structures called jets, which can extend for Mpc in length and transport energy from the central engine of the galaxy to the larger scale intergalac- tic medium. Over thirty such sources have been discovered to date by ground-based gamma-ray telescopes such as H.E. S.S. , and PKS 2155-304 is the prototypical southern-hemisphere representative of this population of objects. In this thesis I have studied in detail some aspects of the temporal variability of the jet emission from PKS 2155-304, combining coordinated observations across the electromagnetic spectrum, from optical polarimetric measurements to X-ray and ground-based gamma-ray data. The temporal properties of the dataset allowed us to derive important physical information about the structure and emission mechanisms of the source and put constraints to the location of the sites of VHE emission and particle acceleration within the jet. We have also derived a sensitive statistical measure, called Kolmogorov distance, which we applied to the large outburst observed from PKS 2155-304 in July 2006, to derive the most stringent constraints to date on limits for the violation of Lorentz invariance induced by quantum-gravity effects from AGN measurements.
Deployment of a Mobile Application Using a Novel Deep Neural Network and Advanced Pre-Trained Models for the Identification of Brain Tumours

ABSTRACT Medical image processing is significant in clinical diagnosis and treatment. However, the traditional approach for examining these images has hit its performance limit, and requires a considerable amount of time and effort. In addition, the misdiagnosis of brain tumour types from these images can hinder patients from receiving proper medical treatment and can diminish their chances of survival. The emerging deep learning technique has shown good results in classification problems. In the current study, existing transfer learning models and a novel model were applied to classify augmented magnetic resonance images (n = 12,256 images). These methods were used to identify three different kinds of brain tumours from the images: meningioma, glioma, and pituitary tumours. Accuracies of 83.30%, 79.54%, 81.83%, 82.49%, 85.21%, and 91.73% were obtained using ADAM optimizers for VGG-16, VGG-19, Inception V3, Xception, Mobile net, and the proposed Lightweight Sequential net, respectively. Furthermore, we achieved accuracies of 50.45%, 60.24%, 57.85%, 61.98%, 75.14%, and 84.82% while using the SGDM optimizer for the aforementioned deep neural networks, respectively. We also developed an Android and IOS mobile application using the novel deep neural network and a flutter framework. The mobile application was tested using brain tumour images collected from SRM hospital and an accuracy of 82.5% was obtained. The untrained data of 155 images collected from hospital were used to validate this application. In terms of execution speed, the proposed architecture surpassed the existing pre-trained models. Thus, when compared to approximately similar approaches, our newly developed network outperformed them.
Deoptfuscator: Defeating Advanced Control-flow Obfuscation Using Android Runtime (ART)

Code obfuscation is a technique that makes it difficult for code analyzers to understand a program by transforming its structures or operations while maintaining its original functionality. Android app developers often employ obfuscation techniques to protect business logic and core algorithm inside their app against reverse engineering attacks. On the other hand, malicious app writers also use obfuscation techniques to avoid being detected by anti-malware software. If malware analysts can mitigate the code obfuscation applied to malicious apps, they can analyze and detect the malicious apps more efficiently. This paper proposes a new tool, Deoptfuscator, to detect obfuscated an Android app and to restore the original source codes. Deoptfuscator detects an app control-flow obfuscated by DexGuard and tries to restore the original control-flows. Deoptfuscator deobfuscates in two steps: it determines whether an control-flow obfuscation technique is applied and then deobfuscates the obfuscated codes. Through experiments, we analyze how similar a deobfuscated app is to the original one and show that the obfuscated app can be effectively restored to the one similar to the original. We also show that the deobfuscated apps run normally.
An examination into the mental and physical effects of a saffron extract (affron®) in recreationally-active adults: A randomized, double-blind, placebo-controlled study

ABSTRACT Background Saffron, derived from the stigmas of the Crocus Sativus flower, has been shown in several studies to improve mood and wellbeing in adults experiencing low mood and anxiety. The goals of this study were to examine its mental and physical effects in healthy, recreationally active adults. Methods In this 6-week, randomized, double-blind, placebo-controlled study, 62 adults engaging in regular exercise were recruited and randomized to receive a placebo or 28 mg daily of a standardized saffron extract (affron®). Self-report outcome measures include the Physical Activity Enjoyment Scale, Profile of Mood States, and Patient-Reported Outcomes Measurement Information System-29. Participants also wore a wrist-worn heart rate, activity, and sleep monitoring device (WHOOP) to measure changes in sleep quality, resting heart rate, and heart rate variability. To help identify mechanisms of action associated with saffron intake, changes in plasma concentrations of brain-derived neurotrophic factor, oxytocin, and neuropeptide Y were also measured. Results Based on data collected from all participants, there were no statistically significant between-group differences in changes in any of the outcome measures. However, when changes were analyzed by sex, there were statistically significant greater increases in enjoyment associated with exercise (p =.009) and heart rate variability (p =.001) in male participants taking saffron compared to the placebo. No statistically significant between-group differences were identified in females. Conclusions The results of this trial suggest saffron may have beneficial effects in recreationally active males, as evidenced by increased exercise enjoyment and heart rate variability. However, no such benefits were identified in females. Future research using larger sample sizes, varying treatment periods, and additional outcome measures will be required to validate the results from this study and help clarify the mechanisms of action associated with saffron intake. This study was prospectively registered on 30 October 2020 with the Australian and New Zealand Clinical Trials Registry (Trial ID. ACTRN12621000501842).
Significance of Image Features in Camera-LiDAR Based Object Detection

In autonomous cars accurate and reliable detection of objects in the proximity of the vehicle is necessary in order to perform further safety critical actions which depend upon it. Many detectors have been developed in the last few years, but there is still demand for more reliable and more robust detectors. Some detectors rely on a single sensor, while some others are based upon fusion of data from multiple sources. The main aim of this paper is to show how image features can contribute to performance improvement of detectors which rely on pointcloud data only. In addition it will be shown, how lidar reflectance data can be substituted by low level image features without degrading the performance of detectors. Three different approaches are proposed to fuse image features with point cloud data. The extended networks are compared with the original network and tested on a well-known dataset and on our own data, as well. This might be important when the same pretrained model is to be used on data generated by a lidar using different reflectance encoding schemes and when due to the lack of training data retraining is not possible. Different augmentation techniques have been proposed and tested on the KITTI dataset as well as on data acquired by a different lidar sensor. The networks augmented with image features achieved a recall increase of a few percent for occluded objects.
Metode penyeduhan terhadap nilai kesukaan dan aktivitas antioksidan seduhan teh meniran (Phyllanthus niruri Linn.)

Meniran is an herbal plant that has many health benefits. Meniran tea contains phytochemicals like teas in general such as saponins, phenolics, flavonoids, and tannins. This study aims to determine the effect of the meniran leaf tea brewing method on the preference value and content of an antioxidant activity. This research was a laboratory experiment with a completely randomized design (CRD). Meniran tea was brewed using the Decoction Brew (DB), Cold Brew (CB), and True Brew (TB) methods with filter and non-filter treatments. The organoleptic test in this study used 30 untrained panelists. Organoleptic test data collection consisting of color, aroma, and taste attributes were assessed using a 9-scale hedonic scale questionnaire. Organoleptic data that had been collected was then tested for normality using Kolmogorov Smirnov, if normally distributed, continued with ANOVA statistical test and then Duncan's further test with 99% CI. Organoleptic test results in the form of attributes of color (p= 0,000), aroma (p= 0,003), and taste (p= 0,000) of panelists preferred tea with the TBF brewing method. Based on the antioxidant activity content of selected meniran tea (TBF) around 2,33 – 2,81 mg/mL. In conclusion, the panelists prefer tea with the TBF brewing method based on the attributes of color, aroma, and taste as well as high antioxidant activity.
Spectral evidences of gas accretion in young stars with non-periodic algol-type minima

Abstract The irregular variability is one of the most important properties of young stellar objects and is of great interest since its understanding is the key to understanding the physics of young stars. The main question is: how to separate, in each concrete case, the different potentially important mechanisms of the variability, such as the variable circumstellar extinction, the flare (and chromospheric) activity, and the suppression of stellar photosphere by the formation of magnetic spots? We consider this question below in application to an interesting subclass of young stars, the stars with non-periodic Algol-type minima. The most important results of current investigations of these stars are discussed.
Effect of pressure dependence on N.E.C of Argon thermal plasmas mixed with helium

In the present work, we have calculated the radiative transfer, it means the radiative energy that escapes from a plasma formed from a mixture of Argon−Helium. The computations take into account several pressures between 1 ≤ p ≤ 100 atm in the temperature T wide range of 5000 − 30 000 K. In the case of the plasmas is supposed to be in local thermodynamic equilibrium. Where the contributions have been treated separately in the calculation: atomic emission lines self-absorbed and not self-absorbed, continuum (radiative attachment, radiative recombination and radius). The results show that a large part of radiation is absorbed at the first crossed millimeter and also the contribution of resonance lines is very important. These are the lines which are strongly absorbed.
A comparitive evaluation of stress distribution around implant with different abutment material at different abutment angulation: A finite element analysis study

Aims: To evaluate the effect of abutment angulations and abutment material on stress distribution of maxillary anterior region. Finite element method was used to simulate the clinical situation of a maxillary anterior region restored by two different angulated abutments i.e. 15° and 25°, using two different abutment materials (Titanium and PEEK). Material and Methods: For this research two 3 Dimensional Finite Element models were prepared simulating the angled abutments i.e. of 15 and 25. Commercial engineering CAD/CAM package was used to model abutment (titanium and PEEK), implant, crown and bone in 3D. Load was applied on to the cingulum area i.e. of 178 N. The obtained results were then compared. Results: The maximum displacement in full model was seen prominently in PEEK due to its low young’s modulus when compared with the titanium as a result the displacement can be appreciated. When the abutment angulations increased to 25° the maximum displacement in full model increased subsequently. The maximum stress was seen around the implant abutment junction i.e. in the cortical bone because the young’s modulus of the cortical bone is higher as compared to the cancellous bone. The stress on abutment is more in titanium when compared to that of PEEK because of its rigidity. The stress on implant was greater in PEEK and it increased with the increase in the abutment angle. The von mises stress was more in the crestal level when compared with middle and apical level. Conclusion: The stress on whole implant system can be changed through the usage of different abutment materials at different abutment angulation.