Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Designed nursing intervention protocol on outcomes of patients with symptomatic knee osteoarthritis

: Symptomatic knee osteoarthritis is the most common chronic joint disease in the world, that lead to chronic pain and disability (Postler, et al, 2018 ). Egyptian patients with primary knee osteoarthritis have relatively poor health related quality of life; that manifested mainly by pain. Disease duration and affection of both knees considered indictors for lower scores of all quality domains, and knee stiffness (Mahmoud, Moghazy, Fathy, and Niazy, 2018). Aims, this study aimed to examine the effect of designed nursing intervention protocol on outcomes of patients with symptomatic knee osteoarthritis. Research design: A quasi experimental research design was used to conduct this study. Research Setting: This study was conducted at orthopedic clinic of New Emergency Hospital (El Demerdash Hospital) affiliated to Ain Shams University, Cairo. Subjects: A Purposive sample of 50 patients diagnosed as symptomatic knee osteoarthritis. Tools: I. An Interviewing questionnaire it was consisted of . patient demographic characteristic, medical history, Patient with symptomatic knee osteoarthritis knowledge, and health practices. II: Knee Injury and Osteoarthritis Outcome Score (KOOS) : It was adopted from Roos; et al., 1998. It was used to assess knee osteoarthritis outcomes. Results: This study revealed that, the age of 38% of the study subjects were between 50 to 60 years with mean age 47.52 ± 8.08, and 55% were females. There was highly statistically significant difference between patients' knowledge and health practices regarding osteoarthritis management pre/post implementation of the nursing intervention protocol, while there was no statistically significant difference between patients' Osteoarthritis Outcome Score pre/post implementation, although there was marked improvement post implementation. Conclusion: Implementation of designed nursing intervention protocol had a positive effect on improving patients’ level of knowledge and health practices regarding osteoarthritis and markedly improving patient's outcomes. Recommendations: Conducting comprehensive health education programs for patients with symptomatic knee osteoarthritis in outpatient's clinics with simple printed guidelines in booklets, leaflets or brochures explaining how to manage the disease problems and application of similar studies to assess the needs and factors affecting such group of patients.
Comparison of CMIP3 and CMIP5 projected hydrologic conditions over the Upper Colorado River Basin

This work presents updated hydrologic projections for the Upper Colorado River Basin (UCRB) using downscaled (approximately 12 km) General Circulation Model (GCM) output from Coupled Model Intercomparison Project – Phase 5 (CMIP5) with a comparison to CMIP3 GCMs. We use the Soil and Water Assessment Tool model to simulate the impacts of end‐of‐century climate change on the UCRB using 21 CMIP5 and 18 CMIP3 GCMs, collected into one CMIP5 ensemble and one CMIP3 ensemble, respectively. Previous CMIP3 studies have identified a drier climate for the UCRB because of projected increases in temperature and decreases/little change in precipitation. Hydrologic simulations from CMIP5 inputs suggest wetter conditions than simulations based on CMIP3 inputs, yet drier conditions than the historical climate. Both ensembles lead to timing shifts in peak streamflow during the snowmelt season from changes in snowmelt, but the higher CMIP5 projected precipitation leads to, on average, peak streamflows 200–300 m3 s−1 larger (25–40% difference) than the CMIP3 projections. This difference is largely generated in the northern UCRB region, where CMIP5 simulations project much more significant increases in streamflow than CMIP3. This increase is largely due to an overall larger rise in precipitation in the CMIP5 ensemble (57% of the total UCRB area) compared to the CMIP3 ensemble (5%). Even with projected increases in precipitation, snowmelt is projected to decrease dramatically throughout the UCRB for both ensembles. The increases in precipitation and decreases in snowmelt leads to significant differences in hydrologic flux components between the CMIP3 and CMIP5 ensembles, such as end‐of‐century rises in soil water content and evapotranspiration in the CMIP5 ensemble compared to the CMIP3 ensemble. The difference between the dry CMIP3 and the somewhat wetter CMIP5 projections may be critical for water management in the already over‐allocated UCRB.
The effect of selective attention to segregated streams on event-related potentials

Auditory stream segregation is a phenomenon in which alternately presented sounds with different frequencies are perceived as multiple sound streams. BCI (brain-computer interface) using auditory stream segregation has been proposed. In this study, tendency of perceiving auditory stream segregation was investigated by psychophysical experiments by using two different types of sounds. In addition, we aimed to improve the performance of the auditory BCI based on auditory stream segregation by evaluating the relationship between the magnitude of event-related potentials, and the level of segregation, i.e., how significant the sequence is perceived as segregated streams.The results showed that 8 out of 8 subjects were more likely to perceive stream segregation when the sound was more complex. It was also shown that 5 out of 8 subjects showed that the amplitude of event-related potential (ERP) responses was larger when the level of segregation was higher. These results show the correlation between brain activity and the level of segregation from the perspective of neural correlates of auditory illusions.
A Miniaturized Slotted Patch Antenna for 5G Millimeter Wave Applications

Designing an antenna for fifth generation millimeter wave applications is one of the most challenging yet high in-demand area of study for research of wireless communication. In this work, we proposed a miniaturized slotted rectangular patch antenna configuration for fifth generation millimeter wave communication. The radiating patch of proposed antenna has a footprint of 3.159 mm $\times$ 4.232 mm. Two vertical rectangular slots on opposite sides near to edges and four triangles with same geometric size, forming a flower shaped double bow-tie pattern, are etched out at the center of radiator. Due to the addition of these slots and truncated patch corners, the proposed antenna performs more effectively in terms of impedance matching, and radiation characteristics. For the excitation of the presented antenna, coaxial feeding technique is used. This model is printed on 0.508 mm thick substrate of Rogers 5880 material with a compact and lightweight size of 5.279 mm$\times$ 6.232 mm. According to the simulation findings, the impedance bandwidth below -10 dB is matched in the band from 27.09 GHz to 28.89 GHz which corresponds to the millimeter wave bands of 28 GHz, globally authorized by 3G partnership project. Moreover, in the operational bandwidth, an approximate gain of 7.5 dBi is attained of the center frequency of 28 GHz. Based on its small size and robust performance, the suggested antenna is a viable option for millimeter wave applications.
A New Unusual Bundle and Phase Arrangement For Transmission Line To Achieve Higher Natural Power

In conventional lines, subconductors are located symmetrically on an identical circle in each phase. The number of subconductors in a bundle, the radius of the bundle circle, and the radius of each subconductor, are chosen so that the maximum electric field strength on the sub conductors, $E_{max}$, is limited to the permissible field strength on the conductor surface, $E_{p r},\left(E_{max } \leq\right. E_{pr})$, which is determined by the corona discharge limitation requirement. In this paper, we show that by shifting phase configurations and subconductors into unusual/unconventional arrangements that are geometrically optimized within the space, high power density designs can be achieved. A novel bundle and phase arrangement of a 500 kV transmission line is presented in this paper, resulting in higher natural power than conventional design.
In-Vehicle Intrusion Detection based on Machine Learning

The in-vehicle network enables communication between the different vehicle components and systems. It uses specific protocols and bus systems, such as the Controller Area Network (CAN) that provides communication between invehicle parts simultaneously. As the CAN bus plays an essential role in the in-vehicular communication, it is vulnerable to various types of attack, leading to network disconnection and other damage. This paper proposes an intrusion detection system (IDS) based on machine learning that is able to detect and classify CAN messages as DoS, Fuzzy, Spoofing attacks, or normal messages. A comparison between six different algorithms of classification was carried out and found that Decision Tree, Logistic Regression, and Random Forest were the best algorithms, providing excellent results in terms of the evaluation metrics (accuracy, precision, recall, f1-score) as well as the execution time. Thus, the proposed IDS provides a high detection rate to effectively identify most of the attacks and a low computational time to improve the system’s efficiency.
Behavior of Crystal Defects at Low Temperature in AlGaN/GaN HEMTs

In this study, the current-voltage (IV) and Radio Frequency (RF) characteristics were measured in a low-temperature environment, and the transient response waveform was analyzed by the simplified Isothermal Capacitance Transient Spectroscopy (ICTS) method. According to the measurement results of the IV characteristics, the current value decreased rapidly as the temperature decreased, and the linear region could not be confirmed. From the RF characteristics, it was confirmed that the gain varies with temperature in the high-frequency band. Furthermore, the results suggested that substantial structural changes occurred in the device under low-temperature environments. In addition, it was confirmed by simple ICTS analysis that the capture cross-section and crystal defect concentration increased with decreasing temperature. At room temperature, the thermal energy imparted to the crystal layer induces phonon scattering at crystal lattice points. This implies that the process of trapping electrons in crystal defects is suppressed. In a high-frequency region, carriers trapped in crystal defects are released and the crystal defects become conspicuous. As a result, an increase in the capacitance component of crystal defects was confirmed, and it is thought that both the capture cross-section and the crystal defect concentration increased compared to those at room temperature.
Texas lineament revisited

Every fall since 1950, the New Mexico Geological Society (NMGS) has held an annual Fall Field Conference that explores some region of New Mexico (or surrounding states). Always well attended, these conferences provide a guidebook to participants. Besides detailed road logs, the guidebooks contain many well written, edited, and peer-reviewed geoscience papers. These books have set the national standard for geologic guidebooks and are an essential geologic reference for anyone working in or around New Mexico.
A Mathematical Model for Analyzing Honeynets and Their Cyber Deception Techniques

As a way of obtaining useful information about the adversaries behavior with a low rate of false detection, honeypots have made significant advancements in the field of cybersecurity. They are also powerful in wasting the adversaries resources and attracting their attention from other critical assets in the network. A deceptive network with multiple honeypots is called a honeynet. The honeypots in a honeynet aim to cooperate in order to increase their deception power. Professional adversaries utilize strong detection mechanisms to discover the existence of the honeypots in a network. When an adversary finds that a deception mechanism is deployed, it may change their behavior and cause malicious effects on the network. Therefore, a honeynet has to be deceptive enough in order not to be identified. This paper aims to review the techniques that are designed for the honeynets to make them improve their deception performance. The recent related surveys do not focus on the honeynet-specific techniques, and also have no comparison analysis. The main presented techniques in this paper are fully investigated through comparative analysis and simulation scenarios. Some suggestions on the research gap are also provided. The results of this paper can be used by the honeynet developers and researchers to improve their work.
Performance Evaluation of Path Loss Models for Internet of Wearable Things

The Internet of Wearable Things (IoWT) is a promising technology for Wireless Body Area Networks (WBAN). In fact, WBAN channel characterization has become a major challenge, especially for real-time monitoring and remote control of vital signs and physiological data of patients in medical applications. In this paper, we present a performance evaluation of the IEEE 802.15. 6 CM3A model based on our mathematical voxel-human body channel model at 2.4 GHz for various distances between the coordinator and the on-body wearable sensor antennas. Theoretical studies and simulation results are presented in detail. The proposed channel modeling, based on 3D voxel-body models, is in good agreement with the IEEE 802.15. 6 CM3A model, and a comparison of path loss models performances is also presented. All numerical simulation results are performed using CST microwave studio.
Zero-Trust Communication between Chips

Outsourcing chip production is common among semiconductor vendors to cope with the increasing demand for integrated circuits. This has resulted in several security issues in the chip supply chain, including hardware trojans, intellectual property theft, and overproduction. Zero-trust presents a promising solution for ensuring the authenticity of Integrated Circuits (ICs), particularly in critical systems where adversary attacks can cause significant losses or damage. The Security Protocol and Data Model (SPDM) is a reliable protocol that uses certificates to ensure the authenticity of ICs. Based on this protocol, the presented paper proposes a chip-to-chip zero-trust security architecture that aims to verify the authenticity of any connected peripheral before its use. The contributions include an overview of the proposed architecture, implementation and formal verification of the SPDM protocol, and analysis of the challenges encountered during the implementation and execution.
Corona Loss Calculation for Unconventional High Surge Impedance Loading Transmission Lines

Corona effects are one of the most important factors to take into consideration when designing an overhead transmission line. Corona discharges cause power loss which should be considered during transmission line design. Unconventional high surge impedance loading (HSIL) lines have subconductors placed anywhere in space and have no bundle symmetry. They have the potential to produce greater natural power than conventional lines and conventional HSIL lines. This paper calculates corona loss in both fair and foul weather conditions for an envisaged unconventional HSIL line. It is seen that the unconventional lines under discussion undergo much greater corona loss than the conventional lines and conventional HSIL lines.
Black-Box Attribute Inference Protection With Adversarial Reprogramming

With the popularity of machine learning in image processing on the rise, privacy concerns have become a major interest in deploying and using ML services. Despite the advances in ML, existing approaches for providing privacy protection often require training from scratch or fine-tuning large portions of the model to work. Because of this, providing privacy can be computationally expensive, time-consuming, and limited for use with white-box models. As a result, smaller organizations find it increasingly difficult to provide secure machine learning services that comply with data privacy laws. In this paper, we investigate the use of model reprogramming as a technique for providing attribute privacy protection for pre-trained models. Specifically, we adapt model reprogramming in an adversarial min-max framework to hide sensitive information from feature outputs without modifying the pre-trained model. We demonstrate the effectiveness of our method by experiments on CelebA dataset and show it can achieve state-of-the-art performance with significantly lower computational complexity and cost.
Pan Arab Journal of Rhinology Pan Arab Journal of Rhinology

Objective : Olfaction is a complex sensory process that has not been fully investigated. In this study, we aimed at investigating whether there is an association between acute-phase reactants [C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), neutrophil-to-lymphocyte ratio (NLR), and serum ferritin] and the presence of smell disorders in coronavirus disease 2019-infected patients. Patients and methods : A prospective study was conducted on 61 patients presented to the Otolaryngology Department with a con ﬁ rmed diagnosis of coronavirus disease 2019 based on the real-time reverse transcription PCR between July 2020 and February 2021. Participants in this study were divided into two groups: group A (olfactory dysfunction group) and group B (nonolfactory dysfunction group). Group A was further subdivided into two subgroups after 3 months: olfaction-recovery subgroup and olfaction-no-recovery subgroup. Complete blood count with differential count, acute-phase reactants, and NLR were investigated and compared at two chronological intervals: 0 and 3 months of diagnosis. Results : The levels of CRP, ESR and NLR were found to be signi ﬁ cantly increased in olfactory dysfunction group (group A) at 0 interval compared with nonolfactory dysfunction group (group B) ( P ¼ 0.003, 0.001, and 0.04, respectively). After 3-month interval, CRP, ESR, serum ferritin, and NLR started to trend down in patients in group A who experienced complete recovery of smell disorders (olfaction-recovery subgroup). Compared with the olfaction-recovery subgroup, the olfaction-no-recovery subgroup showed higher levels of CRP and serum ferritin ( P ¼ 0.01 and 0.04, respectively). Conclusion : Increased levels of CRP, ESR, and NLR in patients with olfactory dysfunction suggest that they may play a role in the initiation of this symptom. Reduction of CRP and serum ferritin after 3 months from the onset of olfactory dysfunction can be a prognostic marker of smell recovery
Fish environmental guilds as a tool for assessment of ecological condition of rivers

The form, hydrology and functioning of rivers worldwide have been increasingly modified by a range of human activities. The impacts of these changes on the fish faunas of rivers need to be assessed for biodiversity conservation and fisheries management. Reliable and cost effective indicators of fish assemblage responses to hydrological, morphological and functional changes in a river are required. Given the large number of fish species present in many rivers, reliance on a single indicator species is problematic. The present paper proposes the use of environmental guilds for this purpose. Building on prior studies, we propose a series of environmental guilds based on common patterns of response by fish species to changes in river flow and geomorphology. A general framework consisting of two upland stream guilds, three lowland lentic guilds, four lowland lotic guilds, two generalist guilds and five estuarine guilds is proposed. Considering the large numbers of species present in many river and estuarine systems and the flexibility of their behaviour, many species will be difficult to classify. Further development of the proposed guild classification at the level of individual basins is anticipated, particularly in river systems with highly variable hydrology and many opportunistic species. Nevertheless, this general scheme would be easily and rapidly applied to a wide variety of local circumstance, as well as to the description of the general trends in fish population and assemblage structure occurring during river development. Copyright © 2006 John Wiley & Sons, Ltd.
Relation between Nighttime Technology Devices Use, Stimulant Drinks Intake and Sleep Quality among Adolescent Students

: Sleep is a vital part of a healthy lifestyle, but with technological advances, there are number of growing factors that can inhibit this vital function and causing poor sleep quality. The aim of this study was to examine relationship between nighttime technology devices use, stimulant drinks intake and sleep quality among adolescents students. Design: Descriptive correlation design was used. Setting: The study was conducted at four preparatory and secondary governmental schools from both rural and urban schools in Menouf District, Menoufia Governorate, Egypt. Sample: A multistage stratified random sampling technique was used to select the sample composed of 352 adolescent students including 161 boys and 191 girls aged between 12-17 years. Tools of the study: 1. Self-administered structured questionnaire included socio demographic data, nighttime technology devices usage and stimulant drinks intake questionnaire. 2. Pittsburgh Sleep Quality Index for assessing sleep quality. Results: The main results showed that more than two thirds (68.2%) of studied students had poor sleep quality, it was significant higher (74.3%) among females than among males (60.9%). There was significant difference between males and females as regarding to sleep duration, sleep latency and sleep disturbance, however, there was no significant difference between males and females as regarding sleep efficiency, daytime dysfunction, and sleeping medication. In addition, it was revealed that age, gender, place of residence and family income had significant relation with poor sleep quality among students. Additionally, most of the studied students (88.1%) using different forms of technology devices at night and more than half of them had reported presence of technology devices in their bed room and used at night before sleep and the most common devices used and affected sleep were mobile phone and television. Moreover, three fourths of the studied students (75.3%) reported intake of stimulant drinks, and there was a statistically significant relation between intake of stimulant drinks and poor sleep quality. Conclusion: Poor sleep quality among studied adolescent students was high (68.2%), most of the studied students (88.1%) using different forms of technology devices at night before bed time and three fourths of students were consumed stimulant drinks. Moreover, poor sleep quality was associated with age, gender, place of residence, family income, nighttime technology media usage and intake of stimulant drinks. Recommendations: Educational and awareness programs should be implemented in schools by the ministry of health in collaboration with the ministry of education to raise awareness of adolescent students about harmful health effects of night time technology devices usage and intake of stimulant drinks.