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jcoeduw-1432
Digital Citizenship and its Relationship to the Level of Health Awareness of Corona Virus (Covid-19) among a Sample of Palestinian University Students: محمود عبد المجيد عساف
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The study aims to identify the degree of appreciation for the level of digital citizenship of a sample of Palestinian university students in the governorates of Gaza, and its relationship to the level of health awareness about the emerging coronavirus (covid-19). To achieve the objectives of the study, the researcher followed a descriptive approach by applying two questionnaires; the first, which consists of 30 items, was used  to measure the level of digital citizenship.  The second, which consists of 19 items, was used to measure the level of health awareness. Both questionnaires  were applied on a sample of 367 students who were electronically selected using the manner simple randomness. Results have shown that the degree of appreciation for the level of digital citizenship was high with a relative weight of 76.08%. Besides, the level of health awareness of coronavirus was high with a relative weight of 81.83%. Additionally, it has been found that there is a direct relationship with a statistical significance between the degree of sample appreciation of the level of digital citizenship, and the degree of  its evaluation of the level of health awareness of coronavirus, where the correlation coefficient was 0.468. Moreover, there has been shown that there are no statistically significant differences between the mean scores of the individuals appreciation of the level of health awareness of coronavirus (Covid-19) due to the gender variable. That is; the level of digital citizenship was in favor of females.The study recommended that e-university platforms should include health awareness messages for preventive purposes

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Publication Date
Mon Jan 01 2024
Journal Name
Fifth International Conference On Applied Sciences: Icas2023
Facial deepfake performance evaluation based on three detection tools: MTCNN, Dlib, and MediaPipe
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Publication Date
Wed Jan 01 2025
Journal Name
Journal Of Nanostructures
Association Between Silver Nanoparticle Dose and Brain or Renal NF-κB Gene Expression
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Several studies have claimed that AgNPs’ safety is not completely verified. The current work studied the CNS and renal genetic abnormalities (as manifested by modifications in NF-κB transcription) in mice treated with diverse AgNP concentrations. The findings revealed that as the amount of AgNPs was elevated, NF-κB production increased considerably.

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Publication Date
Mon Aug 01 2022
Journal Name
Monatshefte Für Chemie - Chemical Monthly
Al-, Ga-, and In-decorated BP nanotubes as chemical sensors for 2-chloroethanol
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B3LYP density functional is utilized for probing the effect of decorating Al, Ga, and In on the sensing performance of a boron phosphide nanotube (BPNT) in detecting the 2-chloroethanol (CHE) molecule. We predict that the interaction of pure BPNT with CHE is physisorption, and the sensing response (SR) of BPNT is approximately 6.3. The adsorption energy of CHE is about − 26.3 to − 91.1, − 96.6, and − 100.3 kJ/mol, when the Al, Ga, and In metals are decorated on the BPNT surface, respectively. This indicates that the decorated metals significantly strength the interaction. Also, the corresponding SR meaningfully rises to 19.4, 41.0, and 93.4, indicating that by increasing the atomic number of metals, the sensitivity i

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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Indian Academy Of Oral Medicine And Radiology
Salivary biomarkers (Vitamin D, Calcium, and Estrogen Hormone) in postmenopausal women with osteoporosis
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Publication Date
Tue Dec 20 2022
Journal Name
2022 4th International Conference On Current Research In Engineering And Science Applications (iccresa)
Noise Detection and Removing in Heart Sound Signals via Nuclear Norm Minimization Problems
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Heart sound is an electric signal affected by some factors during the signal's recording process, which adds unwanted information to the signal. Recently, many studies have been interested in noise removal and signal recovery problems. The first step in signal processing is noise removal; many filters are used and proposed for treating this problem. Here, the Hankel matrix is implemented from a given signal and tries to clean the signal by overcoming unwanted information from the Hankel matrix. The first step is detecting unwanted information by defining a binary operator. This operator is defined under some threshold. The unwanted information replaces by zero, and the wanted information keeping in the estimated matrix. The resulting matrix

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Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Semi parametric Estimators for Quantile Model via LASSO and SCAD with Missing Data
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In this study, we made a comparison between LASSO & SCAD methods, which are two special methods for dealing with models in partial quantile regression. (Nadaraya & Watson Kernel) was used to estimate the non-parametric part ;in addition, the rule of thumb method was used to estimate the smoothing bandwidth (h). Penalty methods proved to be efficient in estimating the regression coefficients, but the SCAD method according to the mean squared error criterion (MSE) was the best after estimating the missing data using the mean imputation method

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Publication Date
Fri May 04 2018
Journal Name
Wireless Personal Communications
IFRS: An Indexed Face Recognition System Based on Face Recognition and RFID Technologies
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Publication Date
Tue Jan 27 2026
Journal Name
Pharmacia
Inflammatory biomarker profile in optimal and suboptimal responder psoriasis patients treated with ustekinumab
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Psoriasis is a chronic autoimmune inflammatory skin condition characterized by uncontrolled keratinocyte proliferation and potential systemic manifestations. Its pathogenesis involves activation of both innate and adaptive immune responses, leading to an imbalance in inflammatory cytokines. Interleukin (IL)-12 and IL-23 are key cytokines in the pathophysiology of psoriasis and sustain chronic skin inflammation. Biologic therapies, such as ustekinumab (UST), have been developed to induce long-term remission in moderate-to-severe psoriasis. The objective of this study was to identify differences in serum levels of inflammatory biomarkers [erythrocyte sedimentation rate, high-sensitivity C-reactive protein (hs-CRP), IL-12, IL-17, IL-22, and IL

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Publication Date
Wed Jun 28 2023
Journal Name
The Iraqi Journal Of Veterinary Medicine
Hematological Parameters as Indicators for Litter size and Pregnancy Stage in Awassi ‎Ewes
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Physiological status and litter size can indeed have a significant impact on ewes' ‎hematological parameters, which are essential indicators of their health. Therefore, this study ‎examined the hematological profiles of ewes during pregnancy with single and twins in the ‎Awassi ewes. The present study involved 232 ewes in good health and at sexual maturity. ‎Among them, 123 ewes had single pregnancies, while 109 ewes had twin pregnancies. The age ‎range of the ewes included in the study was between 3.5 and 4.5 years. Hematological tests ‎were conducted on the sheep's blood samples promptly following collection. The findings ‎demonstrated variations in hematological parameters among pregnant

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Publication Date
Fri Jan 01 2021
Journal Name
Journal Of Intelligent Systems
Void-hole aware and reliable data forwarding strategy for underwater wireless sensor networks
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Abstract<p>Reliable data transfer and energy efficiency are the essential considerations for network performance in resource-constrained underwater environments. One of the efficient approaches for data routing in underwater wireless sensor networks (UWSNs) is clustering, in which the data packets are transferred from sensor nodes to the cluster head (CH). Data packets are then forwarded to a sink node in a single or multiple hops manners, which can possibly increase energy depletion of the CH as compared to other nodes. While several mechanisms have been proposed for cluster formation and CH selection to ensure efficient delivery of data packets, less attention has been given to massive data co</p> ... Show More
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