Miracle-dz/UniFAR-FTUs huggingface dataset:
Traumatic Intracerebral Hemorrhage : Clinical and Radiological Outcomes at Qena University Hospitals

Background: Traumatic brain injury (TBI) is considered the most common cause of death and disability among young individuals, Traumatic intracerebral hemorrhage (TICH) is a common complication of traumatic brain injury. It represents the leading cause of morbidity and mortality in individuals also it is known to be the most important determinant of outcome in polytraumatic patient. Objectives: Evaluation of the clinical and radiological outcomes in patients with traumatic intracerebral hemorrhage admitted to Neurosurgery department at Qena university hospitals. Patients and methods: This study was conducted by collecting data from the records of 37 patients with traumatic intracerebral hemorrhage admitted to Neurosurgery Department, Qena University Hospital, South Valley University, from February 2021 to November 2021. Patients selected for the study will be evaluated based on history, general examination, neurological examination using Glasgow coma scale and radiological findings, evaluation using Extended Glasgow outcome scale (GOSe) and disability rating scale (DRS) . Results: There was statistically significant relation between mortality and Glasgow coma scale (p˂0.05) . There was no statistically significant relation between mortality and age, gender, mechanism of injury, intensive care unit admission as well as surgical interventions (p˃0.05) . On the other hand, patients who did not survive showed lower GCS as well as GOSe when compared to patients who survived. Conclusion: Traumatic intracerebral hematoma is a serious condition that prompts rapid management. Glasgow coma scale is a predictor to determine outcome in cases of traumatic intracerebral hematoma.
A switching lemma primer

We present simplified proofs for a variety of switching lemmas. Our arguments extend recent switching lemma improvements to show, using simple counting techniques, that under restriction, DNF (resp. CNF) formulas can be represented by small height decision trees. We also show how the lemmas are applied in different contexts. In addition to reproving existing results, we also present a proof of a new switching lemma for restrictions that are partial q-matchings.
Reimagining the purpose of assessment

Assessment is commonly understood as the process of judging how well students have learnt what they have been taught. It comes at the end of a sequence that begins with a curriculum or course syllabus. Teachers are expected to deliver this body of specified content, students are expected to learn it, and assessment is the process of judging and grading students on how well they have learnt what teachers have taught. This is a common view of assessment among students, parents and many teachers. I will argue in this presentation that this traditional understanding of what it means to learn successfully is no longer serving us well. It results in many less advanced students falling further behind in their learning, being written off as poor learners, and eventually disengaging from school. It also fails to challenge and extend some of our most advanced students, resulting in less progress than they are capable of making. The alternative is to use assessment to monitor learning – that is, to establish and understand where learners are in their long-term learning progress; to evaluate growth over time; and to provide teachers, students, parents, school leaders, system managers and governments with quality information to promote further learning. Shifting the focus from judging and grading to monitoring would be a significant change in assessment practice with the potential to better support successful learning.
Relationships and Interactions between Phenylalanine Ammonia-lyase, Phenylalanine Ammonia-lyase Inactivating System, and Anthocyanin in Apples1

Low temperature (6°C) in light stimulated the accumulation of phenylalanine ammonia-lyase (PAL) and anthocyanin and reduced the level of phenylalanine ammonia-lyase inactivating system (PALS-IS) in the skin of whole apples. Without light, anthocyanin synthesis did not take place in the skin of whole apples, and the level of PAL was found to be very low. In skin disks held in the dark, however, PAL activity increased but no anthocyanin was synthesized. In both the light and dark conditions, PAL-IS in the skin of whole apples was about 3.5 times higher than that in the apple skin disks after 44 hours of incubation at 18°. In the skin of whole apples, cycloheximide (10, 25, and 50 μm), chloramphenicol (50, 100, and 200 μm), and puromycin (10 and 25 μm) increased the accumulation of PAL and anthocyanin and reduced the level of PAL-IS. In the apple skin disks, cycloheximide (0.1, 1.0, 5.0, and 10.0 μm) and chloramphenicol (10.0 and 50.0 μm) inhibited the accumulation of PAL and anthocyanin to varying degrees. Puromycin had little effect on the accumulation of PAL but strongly inhibited the synthesis of anthocyanin. None of the antibiotics, at the concentrations tested, had any effect on the accumulation of PAL-IS in apple skin disks.
Wireless Powering and Communication of Implantable Medical Devices

Recently, implantable medical devices become widely used because of the high quality of patient’s treatment. The rapid development in technology makes the manufacturing of these devises is easy and compact. Powering is the major challenge in developing implantable medical devices. Primary battery is the mostly used power source. However, batteries limit the life and size of the implants. The promising solution to overcome this challenge is to use the wireless power transfer (WPT). Therefore, this thesis is mainly focused on developing antennas that can be used for dual purposes of WPT and communication. One of the essential parts of WPT is the rectifier circuit. Rectifiers have been designed as follow:  Three rectifier circuits are designed based on voltage doubler technique.  The designed rectifiers have RF to DC conversion efficiency higher than 70%.  The rectifier circuit has been miniaturized to dimensions of 5 x 10 mm and still has more than 70% of RF to DC conversion efficiency. Antennas are the major part of the WPT and communication system. Wearable antennas are designed for several purposes in this research as follow:  A meandered loop wearable antenna is designed to cover the MICS band around 403 MHz and the ISM band around 433 MHz with high magnetic flux in the near field region.  A butterfly loop antenna is designed to cover two wide bands of 0.4-1 GHz and 2-2.7 GHz. This antenna is designed to be compatible with the implantable transceiver ZL70323 by Microsemi so that MICS band is used for communication, 433 MHz for powering and 2.45 GHz for wake up signal.  Another wearable antenna is designed based on meandering loop antenna as well. This antenna generates strong fields along two axes. The contribution of this design is to improve the magnetic field for better WPT. Two implantable loop antennas have been designed as well to be integrated with the
On the nature of Sigma Orionis E.

A period of 1.19 has been found in observations of the H.cap alpha. emission intensity, He absorption-line strengths, magnitudes, and colors of the helium-rich star sigma Ori E. The H.cap alpha. emission variation is a double wave with two unequal maxima separated by about one-half the period. The primary H.cap alpha. emission and He absorption maxima coincide. They are followed about one-quarter period later by a sharp continuum-flux minimum, the amplitude of which increases with decreasing wavelength. The radial velocities are uninformative. Some characteristics of the variations are reminiscent of the oblique rotator model, while others suggest the presence of a very low-mass companion.
Deprescribing practices in Canada: A scoping review

Background: Excessive and inappropriate use of medications, defined as polypharmacy, can increase the risk of adverse drug reactions while affecting patient adherence and quality of life. Therefore, optimizing pharmacotherapies through deprescribing practices plays a crucial role in managing chronic conditions, avoiding adverse effects and improving patient outcomes. The purpose of this study was to explore research initiatives surrounding deprescribing in Canada. Methods: A scoping review was conducted that involved a search of 6 databases. Studies that highlighted deprescribing interventions, experiences and other effects on Canadian populations were included. Results: Searches yielded 2327 citations, of which 31 were included in this review. Five major themes and ideas were identified: deprescribing targeted medications, financial effects of deprescribing, deprescribing in special populations, insight from health care providers and deprescribing frameworks. Conclusion: Deprescribing practices in Canada have shown a wide range of beneficial results across various health care settings, populations and medication classes and have the potential to reduce medication-related harm in all Canadian health care settings.
App‐based pelvic floor muscle training in pregnant and postnatal women: A prospective cohort study exploring factors associated with prevention and improvement of urinary incontinence

Pelvic floor muscle training (PFMT) is recommended for continent pregnant women and postnatal women experiencing urinary incontinence (UI). The app Tät® has been developed for the treatment of stress UI with a focus on PFMT. The aim of this study was to investigate factors associated with the improvement of incontinence symptoms and retained continence in pregnant and postnatal women who used the app.
Mycosynthesis of Hematite (α-Fe2O3) Nanoparticles Using Aspergillus niger and Their Antimicrobial and Photocatalytic Activities

Nanoparticles (NPs) and nanomaterials (NMs) are now widely used in a variety of applications, including medicine, solar energy, drug delivery, water treatment, and pollution detection. Hematite (α-Fe2O3) nanoparticles (Hem-NPs) were manufactured in this work by utilizing a cost-effective and ecofriendly approach that included a biomass filtrate of A. niger AH1 as a bio-reducer. The structural and optical properties of Hem-NPs were investigated using X-ray diffraction (XRD), transmission electron microscopy (TEM), dynamic light scattering (DLS), and UV-visible and Fourier-transform infrared (FTIR) spectroscopies. The results revealed that all of the studied parameters, as well as their interactions, had a significant impact on the crystallite size. The average diameter size of the biosynthesized Hem-NPs ranged between 60 and 80 nm. The antimicrobial and photocatalytic activities of Hem-NPs were investigated. The antimicrobial results of Hem-NPs revealed that Hem-NPs exhibited antibacterial activity against E. coli, B. subtilis, and S. mutans with MICs of 125, 31.25, and 15.62 µg/mL, respectively. Moreover, Hem-NPs exhibited antifungal activity against C. albicans and A. fumigatus, where the MICs were 2000 and 62.5 µg/mL, respectively. The efficiency of biosynthesized Hem-NPs was determined for the rapid biodegradation of crystal violet (CV) dye, reaching up to 97 percent after 150 min. Furthermore, Hem-NPs were successfully used more than once for biodegradation and that was regarded as its efficacy. In conclusion, Hem-NPs were successfully biosynthesized using A. niger AH1 and demonstrated both antimicrobial activity and photocatalytic activity against CV dye.
Epstein–Barr Virus (EBV) and Multiple Sclerosis Disease: A Biomedical Diagnosis

Multiple sclerosis (MS) is a degenerative disease that affects 2.8 million people worldwide. It is a central nervous system disease (CNS), in which the myelin sheath covering the brain and spinal cord neurons is attacked. If the myelin sheath is damaged, a person can suffer permanent damage to the nerves. There are a number of factors that can increase a person's risk of developing MS, such as obesity, smoking, vitamin D deficiency, certain tissue types (HLADRB1∗15 : 01) and infection with the Epstein–Barr virus (EBV). The latter virus can cause infectious mononucleosis, which can, in turn, result in lifelong infection in the host. To establish the relationship between MS and EBV, the author conducted a study on 1176 MS patients admitted to Saudi Arabia King Abdulaziz City centers. The researcher determined that MS occurred twice as much in females as it did in males, and also that EBV was much more widespread in MS female patients than MS male patients (27 : 1). Age was not a factor in the occurrence of EBV. There were limitations on data completeness and availability. Other trials using larger cohorts of patients are needed.
Fabrication of Polyaniline Thin Film Using Electrodeposition Method as Alcohol Sensor

: The use of aliphatic alcohols such as methanol as an alternative renewable fuel in high-density engines can harm both the environment and human health. Polyaniline (PANi), a conductive polymer, has emerged as a solution to this problem because of its beneﬁts as a sensor with relatively high conductivity. In this study, PANi was synthesized using a potentiostat electrodeposition method at a constant potential of -0.4 to +1.0 V at a scan rate of 100 mV/s, resulting in a thin ﬁlm of PANi on the ITO surface. The formed PANi samples were used to determine the sensitivity level of the sensor to methanol at different concentrations. Morphological results of PANi deposited on the ITO surface were observed using SEM showing the shape of nanoparticles with an interconnected-sponge structure and a porous shape with a diameter of 35.3 nm. The PANI sample can be applied as a sensor material for detecting alcohol vapour in indoor air (at room temperature). The sensing measurement results show that the PANi-based sensor can detect methanol vapour at low concentrations up to 5 ppm. The higher the methanol concentration used, the higher the sensor sensitivity.
Improved Siamese classification and regression adaptive network for visual tracking

ABSTRACT To solve the problems of the complex multi-scale searching and the low correlation between classification confidence and location accuracy in the visual tracking process, we propose a novel visual tracking framework named ISiamCRAN. ISiamCRAN uses modified ResNet-50 as the backbone network to extract depth features. Then, these extracted features are fed into an improved classification-regression adaptive head for depth feature cross-correlation operation. Different from existing trackers, in order to remove low-quality prediction bounding boxes, we integrate a quality assessment branch to the classification-regression adaptive head. Moreover, we use an elliptical sample label assignment strategy to replace traditional strategy, by this way our tracker can more accurately distinguish the foreground and background. Finally, for these feature response maps obtained by depth feature cross-correlation operation, the position and scale of the target are predicted directly in a unified fully convolutional network by an anchor-free manner. Extensive experiments on OTB100 and VOT2018 benchmarks indicate that our ISiamCRAN outperforms other traditional trackers, and is robust to motion blur and scale variation. Our tracker runs at approximatively 35 fps on GPU.
Kinematics of stock prices

We investigate the general problem of how to model the kinematics of stock prices without considering the dynamical causes of motion. We propose a stochastic process with long-range correlated absolute returns. We find that the model is able to reproduce the experimentally observed clustering, power law memory, fat tails and multifractality of real financial time series. We find that the distribution of stock returns is approximated by a Gaussian with log-normally distributed local variance and shows excellent agreement with the behavior of the NYSE index for a range of time scales.
The Protective Role of Mature Defense Mechanisms on Satisfaction with Life in the COVID-19 Era: A Moderated Mediation Analysis

The COVID-19 pandemic significantly influenced people’s lives, with non-negligible consequences for the perception of well-being. This study sought to examine the effect of anxiety, post-traumatic impairment, and mature defenses on life satisfaction during the COVID-19 pandemic. One thousand three hundred thirty-nine Italian individuals (30% male; 70% female; Mage = 34.70; SD = 11.83) completed an online survey enclosing the Satisfaction with Life Scale, State-Trait Anxiety Inventory—Form X3, Impact of event scale—revised, and the Forty Item Defense Style Questionnaire. To test the hypothesized relationship, data were analyzed by applying a moderated-mediation analysis, a regression-based approach. Results showed that the negative effect of anxiety on life satisfaction was partially mediated by post-traumatic impairment, with a significant moderation effect of mature defenses on the relationship between post-traumatic impairment and life satisfaction. Specifically, with higher levels of mature defenses, the effects of post-traumatic impairment on consequences of the COVID-19 emergency on well-being. Furthermore, the protective role of mature defenses in facing post-traumatic impairment was shown. Such data may have applicative implications in different contexts in a management perspective of the different pandemic phases, contributing to more effective positive strength-based preventive actions to also support positive healthy organizations.
Implications of the crustal moment of inertia for neutron-star equations of state

The dynamical models for neutron star glitches and postglitch behaviour, and the information they yield on the crustal moment of inertia, are applied to a catalogue of neutron star models. The implications for neutron star equations of state are discussed. The postglitch timing data from the Vela pulsar are interpreted to rule out one of the sorter equations or state for neutron matter with an admixture of hyperons, if the neutron star mass is 1.4 solar mass
Multiscale finite element simulation of mechanical properties of pillared graphene sheet reinforced composites

Abstract This article presents a detailed study of the elastic properties of pillared graphene sheet (PGS) reinforced composites. Modeling of several different composite structures using the numerical simulation software ABAQUS. The effects of carbon nanotube pillar distance (PD), pillar length (PL), CNT inclination angle, the volume fraction of PGS and the number of carbon nanotubes per layer in the PGS on the elastic properties of the reinforced composites are analyzed. The simulation results show that as the volume fraction of PGS increases, the Young's modulus E and shear modulus G of the reinforced composites also increase accordingly. The results also illustrate that the Young's modulus E and shear modulus G of the composites decrease as the tilt angle of the CNTs become larger, but increase with the content of CNTs per layer in the PGS. In addition, the PD and PL of CNTs also influence the elastic properties of the composites.
Weedy and seedy: the rapid evolution of life-history characteristics in an introduced daisy

Abstract Despite the importance of life-history characteristics in determining a species’ success, we still lack basic information about some fundamental life-history elements found across the life cycle of introduced plants. Our study assesses rapid evolutionary divergence in life-history characteristics of the beach daisy Arctotheca populifolia by comparing introduced Australian and source South African plants and measuring eight key variables including seed mass, germination, reproductive output and survival. This is the first study that compares the life history of an introduced plant species with its single original source population, providing a precise and powerful method for detecting evolutionary divergence. We found that introduced A. populifolia has evolved a suite of weedy life-history characteristics in less than 90 years: the introduced plants use a live-fast die-young strategy of germination and survival and produce significantly more inflorescences and more seeds that germinate faster. This knowledge adds to the remarkable data that we already have on the rapid evolutionary divergence occurring in the morphology, physiology and defence of this introduced plant and highlights the speed and scope of evolutionary divergence possible in plants. To fully understand and manage the future of our plant species, we must consider their potential for ongoing change in key aspects of life history.
The Impact of Digital Marketing Channels on Customer Buying Decision Process: A Study on the Egyptian Tourism and Hospitality Services

Digital marketing channels (DMCs) have become crucial to the success of tourism and hospitality businesses wherein customers have access to information on the latest offers and best prices. Despite the significant role of DMCs, there is a lack of studies investigating the impact of DMCs on customer buying behavior in the Egyptian tourism and hospitality industries. Accordingly, the current study aims to fill this gap by examining the impact of DMCs on the customer buying decision process in the context of Egyptian tourism and hospitality services. The study adopted the five-stage model of the customer buying decision process (need recognition, information research, evaluation, purchase decision, post-purchase) (Kotler & Keller 2012). Furthermore, it examines the effects of the four DMCs (e-mail, mobile, social media, and website) on the suggested model in Egypt's tourism and hospitality settings. The data collected from tourism and hospitality customers (foreign and Egyptian tourists) is based on the 10 times rule method. An online questionnaire link was sent, and paper-based questionnaires were distributed to the target sample. The number of valid questionnaires is 242 foreign tourists and 323 Egyptian tourists. The data were analyzed using SPSS ver. 22. The results confirmed the significant effect of the four DMCs on the five stages. The findings also indicated that foreign tourists utilize e-mail and websites for recognition, mobile, social media, and email for information research, and websites for evaluation. The Egyptian tourists use e-mail and mobile for recognition, social media for evaluation, and the website for post-purchase.
Improving Predictability of Renewable Generation Through Optimal Battery Sizing

The number of large-scale photovoltaic (PV) and wind farms is rapidly growing in Australia and all around the world. When these resources participate in the wholesale electricity market, their uncertain nature of generation results in revenue loss due to the penalty incurred by deviating from day-ahead and real-time commitments. In an attempt to avoid financial losses, they typically bid in the market conservatively. This, in turn, might lead to wasting clean energy and lowering overall profit for the producers. To address these issues, various energy storage devices are considered as a potential solution by academic and industrial researchers alike. In this study, an optimal battery sizing methodology is proposed to improve renewable generation predictability using “Seasonal-Trend decomposition based on LOESS”11locally weighted regression. decomposition technique, self-similarity estimation, and enhancing it through filtering. The ultimate goal is to determine the optimal battery size that enhances predictability of renewable generation regardless of the prediction technique and time horizon, which necessarily improves the accuracy of predicted values. The goal is achieved by the proposed method through designing a forecasting-technique-agnostic algorithm. For optimal battery sizing, an optimization formulation is proposed including battery degradation through its useful lifetime. Moreover, prediction studies are carried out to prove predictability enhancement using four prediction techniques and three prediction horizons. The simulation results show the effectiveness of the proposed method in improving self-similarity index (i.e., Hurst exponent) in the PV production time series and economic viability of the proposed methodology in a particular application.