Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding the Binge-watching Phenomenon on Netflix and Its Association with Depression and Loneliness in Egyptian Adults

People’s viewing experience has changed dramatically in recent years, with the rise of new viewing behaviours such as binge-watching and binge-racing made possible by the new media era. This study looks at how binge-watching affects several aspects of life (physical and psychological), correlating it to depression and loneliness, to test whether it affects them psychologically in a helpful way or drags them down to worse situations. Between December 2020 and April 2021, 234 participants completed an online survey that included four credible scales: the Center for Epidemiologic Studies Depression Scale, the Watching TV Series Motives Questionnaire, the Binge-watching Engagement and Symptoms Questionnaire and the UCLA Loneliness Scale (Version 3). Reaching out that most viewers watch alone and plan before entering the binge cycle, but not all of them could succeed in perceiving the impact of binge-watching left on them after ending their binging. The findings revealed that binge-watching is more prevalent among younger age. Additionally, there was a partial positive association between binge-watching and depression and loneliness. Furthermore, some TV viewing motives were positively associated with depression and loneliness.
Neo-colonialism in Distance Learning in Barbados and Canada

This study reviews the literature on the evolution of distance learning in Barbados and Canada’s higher education systems in the context of their unique geographies and colonialism. First, postmodern concerns about what is “good” in education (Slaughter, 2001) are considered, followed by a brief discussion of the role of distance learning in neo-colonialism. Next, the evolution of Barbados and Canada’s higher education systems within the colonial context is described, setting the stage for the development of distance learning. Both countries’ roles within the Commonwealth of Learning organization are compared and used to locate neo-colonial patterns. This analysis highlights risks and benefits of working with external organisations to meet higher education needs in Barbados and Canada, the neo-colonial complexity of a Commonwealth educational organization, and opportunities for strengthening the local while embracing the global in both of these regions.
Initial Results from An MHD Simulation of Ganymede_s Magnetosphere

Three-dimensional resistive MHD simulations were conducted to study the interaction between Jupiter’s corotating plasma and Ganymede’s internal magnetic field. In the simulation we’ve found a small closed field line region near the equator and a large polar cap region containing filed lines that link to Jupiter. The results gave good agreements between the observations and the simulation model. The locations of the separatrices between Jovian field lines and those field lines connected to Ganymede at one or both ends are consistent with the results inferred from a vacuum superposition model [Kivelson et al.,1998] and the energetic particle observations. Slow mode waves were found to be formed right after reconnection in the simulation in which the plasma density and the magnitude of the magnetic field were out of phase.
Applying the Diamond Model of Intrusion Analysis: Brazil’s Operation “Car Wash” Cyberattack

This paper uses the Diamond Model of intrusion analysis to discuss the intricacies and unfoldings of the cyberattack that enabled Operation “Car Wash” leak (nicknamed “VazaJato”), one of the most significant leaks in Brazil’s political history. Our discussion tries to understand the cyberattack that took place in a threat intelligence perspective and, as a result, it draws conclusions and presents an assessment and some recommendations with regards to cybersecurity policy.
Enhancing Grid Integration and Design of Low Speed PMSGs by Exploiting SRF-PLL-Based Sensorless Control and Holistic Modeling

This article proposes a holistic co-design framework with a low-cost approach for a permanent magnet synchronous generator (PMSG) that enables to optimizes both the electromagnetic and mechanical design, in conjunction with the injection of the maximum available power towards the power grid through a controlled electronic back-to-back converter. The proposed sensorless controller includes a hybrid PLL with a dynamically adjustable tabulated gains system and a feedforward frequency estimator. These add-ons allow to precisely track the speed and angle of the rotor shaft for near-zero speeds. This methodology includes the development of analytical models for the structural, magnetic and electrical components. The efficiency and performance of the machine and controller is verified by simulation under different load conditions and high angular speed variability of a 1.5 kW scale prototype in JMAG and Matlab & Simulink™ environments, reaching an efficiency of 80%.
Evaluation of Voltage Transformers’ Accuracy in Harmonic and Interharmonic Measurement

The measurement of Power Quality (PQ), generally performed at Low Voltage (LV) level, is gaining more and more importance also at the Medium Voltage (MV) level, due to the increasing presence of switching power converters (both loads or generators) directly connected to MV grids. In this case, the use of Voltage Transformers (VTs) is unavoidable to scale voltage down to amplitudes compatible with the input ranges of PQ instruments. However, the current absence of an international standard dealing with VTs used for PQ measurements leaves the manufacturers and the users in a situation of complete uncertainty, since different products can have performance specifications tested and stated in completely different ways. This paper aims at defining an integrated approach for the evaluation of VTs accuracy used for PQ measurements, focusing on harmonics and interharmonics. The paper provides experimental results of the tests performed on a MV inductive VT according to the proposed procedure. As a result, it is demonstrated that VT accuracy in the measurement of a specific phenomenon should be evaluated with complex waveforms including the contemporary presence of different PQ phenomena.
Patterns of Classroom Organization in Classrooms Where Children Exhibit Higher and Lower Language Gains

ABSTRACT Previous research suggests that the ways in which early childhood classrooms are organized may facilitate children’s language learning. However, different measures of classroom organization often yield inconsistent findings regarding child outcomes. In this study, we investigated multiple aspects of classroom organization across two time points in classrooms where children made varying language gains. Using a purposeful sample of 60 early childhood classrooms, 30 in which children made higher language gains and 30 in which children made lower language gains, we explored the organization of the physical classroom literacy environment, classroom management, classroom time, and classroom activities. Research Findings: Results indicated that the organization of classroom time and classroom activities, but not of the classroom literacy environment nor of classroom management, differed across classrooms. Differences between classrooms were particularly salient in the fall. Practice or Policy: Findings suggest similarities and differences in the organizational patterns of classrooms, both at the start of the school year and across time. This has implications for how early childhood classrooms are organized to facilitate children’s language learning and highlights the importance of supporting teachers with establishing classroom organization early in the school year. Furthermore, these results emphasize the value of using multiple measures when exploring classroom organization.
Measurement Uncertainty in Battery Electrochemical Impedance Spectroscopy

Electrochemical impedance spectroscopy (EIS) is a widely used method for battery tests in manufacturing and automotive field applications. As such, accurate measurement of the impedance over a broad frequency spectrum is of high relevance, also requiring specific calibration methods and evaluation of error bounds. Here, we report for the first time a comprehensive uncertainty analysis of calibrated EIS for batteries. We aim to identify two uncertainty sources, the fixture repeatability and measurement noise, and evaluate their effect on the measured impedances. To this end, an error model assigned to each of them and the real and imaginary parts of the model parameters are characterized in the frequency range of 100 mHz–5 kHz by performing specific impedance measurements on a shunt resistor and a short standard. We demonstrate how different uncertainties are combined with the measured impedances, incorporating also the impedance calibration procedure. The errors are propagated through the calibration and correction functions by applying the linear error propagation method provided by the UncLib package from METAS. The error bounds are derived from uncertainty propagation in the shunt standard and the prismatic battery cell EIS and verified by conducting a series of measurements. Thereby, the uncertainty is shown as ellipsoids in every frequency point of the Nyquist plot. For instance, at 1 Hz, the 34-Ah prismatic cell shows a calibrated real-part impedance and two standard deviation error bounds of 1.07 $\text{m}\Omega $ ± $26~ \mu \Omega $ .
Distributed Timekeeping in BeiDou Inter-Satellite Link Network

Equipped with inter-satellite links (ISLs), BeiDou-3 satellites are able to operate autonomously in case of ground facility malfunction. To provide reliable positioning, navigation and timing service during autonomous operation, satellites need to maintain a stable time reference. In this letter, we propose a minimal covariance distributed Kalman filter (MCDKF) to realize distributed timekeeping. The proposed algorithm overcomes the problem of network dynamics. Meanwhile, it improves the stability of the on-board time reference by minimizing the variance of the estimate errors at each update step, under the constraint of local observations. Simulation results show that the proposed algorithm reduces the estimation variance and improves the frequency stability compared to other distributed algorithms.
Dynamic symbol allocation for spectral and energy efficient millimetre wave multi‐antenna systems

In this Letter, the authors investigate the relationship between a number of parallel transmit symbols and the spectral efficiency of a millimetre wave (downlink) massive MIMO system with multiple antenna array sizes and a hybrid beamforming strategy. The proposed approach determines the optimal number of parallel data symbols that maximises both spectral efficiency and energy efficiency. A heuristic algorithm is proposed that adapts the number of symbols at the transmitter based on the instantaneous channel state information. The proposed algorithm outperforms non-adaptive strategies for multiple array sizes and achieves a significant improvement in spectral and energy efficiency.
On Reducing LDE Variations in Modern Analog Placement

Layout-dependent (LDEs) introduce an inevitable performance degradation in analog and mixed-signal circuit design with advanced process technologies below 90 nm. The main LDE sources, including the well proximity effect (WPE), length of diffusion (LOD), and the oxide-to-oxide spacing effect (OSE), cause substantial fluctuations in carrier mobility and threshold voltage of transistors. In traditional design flows, impact of these in post-layout simulation, leading to expensive re-design iterations by inspecting the physical locations of devices with respect to one another. In this article, we introduce the concept of an ideal mobility multiplier based on physics models, in order to minimize the LDE effects with a fast simulated annealing algorithm through various LDE alleviating operations. Based on the introduced mobility multiplier and the hierarchical B*-tree (HB*-tree) topological representation, our LDE-aware analog placement methodology can simultaneously optimize not only the area and wire length, but also the LDEs, while maintaining linear-packing time complexity of HB*-trees. Compared to the most recent works on 65 nm-based analog circuits, experimental results show that the proposed method can effectively and efficiently reduce LDE variations, while improving the circuit performance.
Molecular Epidemiology and Species Diversity of Tick-Borne Pathogens of Animals in Egypt: A Systematic Review and Meta-Analysis

Ticks and tick-borne pathogens (TTBPs) are listed among the most serious concerns harming Egyptian livestock’s productivity. Several reports on tick-borne pathogens (TBPs) from various geographical regions in the country were published. However, data on the molecular characterization of TBPs are the most beneficial for understanding the epidemiology of this important group of pathogens. In this study, we present the first meta-analysis on the molecular epidemiology and species diversity of TBPs infecting animals in Egypt. All published studies on TBPs were systematically collected from various databases (PubMed, Scopus, ScienceDirect, the Egyptian Knowledge Bank, and Google Scholar). Data from eligible papers were extracted and subjected to various analyses. Seventy-eight studies were found to be eligible for inclusion. Furthermore, ticks infesting animals that were molecularly screened for their associated pathogens were also included in this study to display high species diversity and underline the high infection risk to animals. Theileria annulata was used as parasite model of TBPs to study the genetic diversity and transmission dynamics across different governorates of Egypt. This study extends cross-comparisons between all published molecular data on TBPs in Egypt and provides resources from Egyptian data in order to better understand parasite epidemiology, species diversity, and disease outcome as well as the development and implementation of prevention and control methods for public health, veterinary care practitioners, and animal owners all over the country.
Oxidative stress, biochemical, and histopathological changes associated with acute lumpy skin disease in cattle

Background and Aim: Lumpy skin disease (LSD) is a highly infectious endemic viral disease of cattle in Africa and the Middle East. The objectives of this study were to assess histopathological changes in cattle infected with LSD and measure serum malondialdehyde (MDA – oxidant) and total anti-oxidant capacity (TAC – anti-oxidant), trace elements (zinc, copper, and iron), cytokines (interleukin [IL]-1β, IL-6, and tumor necrosis factor-alpha [TNF-α]), haptoglobin (Hp), serum amyloid A (SAA), aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine phosphokinase (CPK), blood urea nitrogen (BUN), and creatinine concentrations. Materials and Methods: Blood samples were collected from a total of sixty native and mixed breed cattle; (healthy; n = 25) and (LSD diseased; n = 35). Serum concentrations of MDA and TAC were measured by colorimetric methods. Serum IL-1β, IL-6, IL-10, TNF-α, Hp, and SAA concentrations were determined using human-specific enzyme-linked immunoassay kits. Results: Serum MDA, cytokine (IL-1β, IL-6, and TNF-α), Hp, SAA, AST, ALT, CPK, BUN, and creatinine concentrations were significantly higher, while TAC, IL-10, zinc, copper, and iron concentrations were significantly lower in LSD compared to healthy cattle (p < 0.05). Cows and exotic mixed breed cattle were at higher risk of LSD oxidative stress than bulls and local breeds (p < 0.05). Age was not associated with the risk of LSD (p > 0.05). Histologically, there was extensive tissue necrosis, severe vasculitis, mononuclear cell infiltration, and intracytoplasmic inclusion bodies. Conclusion: LSD is associated with pro-oxidative and pro-inflammatory states from imbalances that favor pro-oxidant and pro-inflammatory factors in the detriment of anti-oxidant and anti-inflammatory factors, leading to organ dysfunction and ultimately death. Oxidative stress is more frequent in cows and mixed breed cattle than in bulls and local breeds.
Large-Signal Stability Modeling for the Grid-Connected VSC Based on the Lyapunov Method

In this paper, a Lyapunov-based method is used in order to determine the stability boundaries of the grid-connected voltage source converter (VSC). To do so, a state space model of the VSC is used to form the Lyapunov function of the system. Then, by using the eigenvalues of the Lyapunov function, the system stability boundaries will be determined. It is shown that the grid-connected VSC works in its stable mode when all of its Lyapunov function’s eigenvalues are positive. The proposed model validity is tested by time-domain simulation. Simulation results show that the method is credible in determining the stability margin of the grid-connected VSC.
A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks

Community detection is an extremely important task for complex network analysis. There still remains a challenge of how to improve the performance of community detection in real-world scenario. Some researchers think that the content in networks is helpful to identify communities, and also focus on combining network topology with node contents, alongside the eradication of inauspicious performance. Furthermore, network topology is often sparse, which is reflected in the lack of capability to represent communities. To address the above problems, this study identifies a novel non-negative matrix factorization method which both employs network embedding to enhance the representation power of network topology for communities and also integrates network topology and node contents for further raising the quality of community detection. Furthermore, we then obtain the parameters of the model for finding communities which is based on model inference. Alongside both synthetic and real-world networks with ground-truths, we compare the new method with the state-of-the-art methods. Experimental results show that the new method obtains significant improvement for community detection both by incorporating node contents and by enhancing network topology.
Modification of a Highly Permeable Thin-Film-Based Nanofiltration Membrane (PVC) to Increase Efficiency and Separation by Air Plasma Treatment

In this research, considering the superhydrophobic properties of nanofiltration (NF) membranes with very high permeability based on polyvinyl chloride (PVC), its surface modification by plasma and its effect on membrane performance have been investigated. To make membranes, PVC polymer was used as the base polymer, dimethylacetamide, and tetrahydrofuran in the ratio of 15:85 as a solvent. The surface modification of thin-film NF membranes under the effect of Air plasma in a plasma cleaner device applied with the power of 20, 40, and 60 W has been investigated. The best power to achieve the hydrophilic surface in irradiation for 5 min at a pressure of 80 mTorr in the chamber is 60 W, and the contact angle of 12° is obtained in this case. The results of the FTIR spectrum definitely confirmed the formation of amide and amine functional groups on the surface of the modified membrane compared to the control membrane, due to the formation of these polar functional groups, the modified surface became hydrophilic. Scanning electron microscopy (SEM) images showed that the surface of the membrane changed after plasma treatment and the plasma-treated membranes had a smoother surface than the control membrane. The surface roughness in AFM analysis was found to be 32.85 nm for the control membrane and 12.83 nm for the membrane modified by the plasma method. The results of CA showed a significant decrease in the contact angle from 101° to 12°, this change in contact angle clearly indicates the increase in the hydrophilicity of the surface of the modified membranes. The water flux increased with increasing applied power, and an opposite trend was observed for salt rejection. Salt rejection was measured at 76% for plasma-treated membranes and 85% for the control membrane. The computational results from the MATLAB code program, for example, water flux 29.0523 (L/ $\text{m}^{2}~\cdot $ h) close to laboratory results 31 (L/ $\text{m}^{2}~\cdot $ h), were obtained.
Analgesic Efficacies of Intraoperative Pectoralis Nerve II Block under Direct Vision in Patients Undergoing Robotic Nipple-Sparing Mastectomy with Immediate Breast Reconstruction: A Prospective, Randomized Controlled Study

This prospective, randomized study aimed to evaluate the efficacy of an intraoperative pectoralis nerve II block (PECS II block) under direct vision in the reduction of fentanyl consumption during postoperative 24 h in patients undergoing robotic nipple-sparing mastectomy (RNSM) with immediate breast reconstruction (IBR) using direct-to-implant (DTI) or tissue expander (TE). Thirty patients scheduled for RNSM with IBR were randomly allocated to the PECS (n = 15) or control (n = 15) groups. The PECS II block was applied under direct vision after RNSM. The primary outcome was the cumulative dose of fentanyl consumption. The secondary outcomes were pain intensity using a numerical rating scale (NRS) at rest and acting during the postoperative 24 h. The cumulative dose of fentanyl at 24 h was significantly lower in the PECS group than in the control group (p = 0.011). Patients in the PECS group showed significantly lower NRS scores during the first postoperative 2 h compared to those in the control group in both resting and acting pain (p < 0.05). An intraoperative PECS II block under direct vision can reduce opioid consumption during the postoperative 24 h and provide effective analgesia in patients undergoing RNSM with IBR using DTI or TE.
Phase Modulation Noise of a Magneto(Elasto) Electric Sensor Operating as a Magnetometer in the Non-Linear Regime–Theoretical and Experimental Studies

In this paper, we present the equivalent magnetic noise of a multi-push-pull Magneto(Elasto)Electric sensor implemented as a magnetometer, with a phase modulation circuitry. Here, in this paper, either a magnetic field or an electric field carrier was modulated by a low magnetic field signal at the sensor resonant frequency, offering an optimal sensitivity, and thereby, the lowest equivalent magnetic noise level at this working point. These two modes of excitation are respectively called E/E (Electric Excitation/Electric detection) and M/E (Magnetic excitation/Electric detection). Based on the constitutive equations and the Nyquist theorem, we have determined the expected sensitivities and the equivalent magnetic noise for the phase modulation. The experimental results were compared to the modeling and to a former amplitude modulation method in order to analyze the coherence of our results and assess this method against the classical AM mode, respectively. At present, the main noise source contributions by using phase modulation are attributed to the electronic circuitry.