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Quality of life during COVID-19 pandemic:a community-based study in Dakahlia governorate,Egypt

Global Health Research and Policy 2022年第1期7卷 424-432页

作者： Shorouk Mohsen Ragaa El-Masry Olfat farag ali Doaa Abdel-Hady Department of Public Health and Preventive Medicine Faculty of MedicineMansoura UniversityMansouraEgypt

Background:The sudden transmission of the novel coronavirus along with instant measures taken in response to the Coronavirus Disease 2019(COVID-19)pandemic caused many new challenges adversely disturbing quality of life(QoL).The objective of this study is to measure quality of life of the public during the COVID-19 pandemic and factors affecting it among ***:This is a community-based cross-sectional household study with analytic component conducted in an agricultural area in Dakahlia governorate,Egypt and included 500 *** were collected through a structured interview,and the collected data included socio-demographic characteristics as well as some data related to their habits and comorbidities,their experience with COVID-19 and data about QoL using the COV19-Impact on Quality of Life(COV19-QoL)scale Arabic version,after assessing Content validity and ***:The total QoL score(mean±standard deviation)is 2.3±0.6 and the score for QoL in general and perception of danger on personal safety show the highest mean with 2.6±*** lowest mean score is related to the perception of mental health deterioration(1.9±0.8).Independent predictors of the total QoL scale are sex(regression coefficient(95%CI)=0.1(0.02 to 0.2),p value=0.02),monthly income(regression coefficient(95%CI)=0.1(0.004 to 0.2),p value=0.04),knowing someone infected with COVID-19(regression coefficient(95%CI)=0.15(0.08 to 0.3),p value=0.001),and data collection time(regression coefficient(95%CI)=0.1(0.006 to 0.2),p value=0.04).Conclusions:COVID-19 pandemic has impacted the public quality of life,particularly in terms of general quality of life and personal *** with substantial predictors of lower quality of life should be given more attention.

关键词： COVID-19 Quality of life Mental health Community-based participatory research

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Flavonoid chemical composition and antidiabetic potential of Brachychiton acerifolius leaves extract

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Asian Pacific Journal of Tropical Biomedicine 2017年第5期7卷 389-396页

作者： Aisha Hussein Abou Zeid Mohamed ali farag Manal Abdel Aziz Hamed Zeinab Abdel Aziz Kandil Radwa Hassan El-Akad Hanaa Mohamed El-Rafie Pharmacognosy Department National Research Centre Pharmacognosy Department College of PharmacyCairo University Therapeutic Chemistry Department National Research Centre

Objective:To evaluate Brachychiton acerifolius leaf extracts as antidiabetic potential agent and to identify the main active constituents using bioactivity guided ***:In vitro antioxidant activity was evaluated for *** different extracts using DPPH assay and vitamin C as *** activity was then determined using STZ-induced rats treated daily with ethyl acetate and 70% ethanol leaf extracts for4 weeks at a dose of 200 g/kg body weight against gliclazide reference *** glucose,a-amylase,lipid profile,liver function enzymes and oxidative stress markers were assessed along with histopathological study for liver and pancreatic *** and structural elucidation of active compounds were made using Diaion and Sephadex followed by spectral ***:The results indicated that ethyl acetate and ethanol leaf extracts exhibited the strongest antioxidant activity compared to that of vitamin C(IC500.05,0.03 and 12 mg/m L,respectively).Both extracts showed potent anti-hyperglycemic activity evidenced by a significant decrease in serum glucose levels by 82.5% and 80.9% and a-amylase by45.2% and 53.6%,as compared with gliclazide 68% and 59.4%,*** of ethanol extract resulted in the isolation of 9 flavonoids including apigenin-7-O-arhamnosyl(1/2)-b-D-glucuronide,apigenin-7-O-b-D-glucuronide,apigenin-7-O-b-Dglucoside and ***:This study highlights the potential use of *** leaf extract enriched in flavones for the treatment of diabetes that would warrant further clinical trials investigation.

关键词： STZ-induced diabetes Diaion fractionation Flavonoid glucuronides Brachychiton acerifolius

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Corrosion Resistance of API5L X52 Carbon Steel in Sulfide Polluted Environments

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Materials Sciences and Applications 2016年第1期7卷 39-50页

作者： Randa Abdel-Karim Mohamed ali farag Hafiz Abdel-Azim Ahmed Saad El-Raghy Department of Metallurgy Faculty of Engineering Cairo University Giza Egypt

In the present work, the corrosion behavior of base and welded API5L X-52 carbon steel coupons in synthetic ground water solution NS-4 was studied. Subsequently, the morphology and composition of the corrosion product deposits were determined using scanning electron microscopy (SEM). Based on weight loss as well as Tafel’s measurements, increasing the sulfide ions content above 0.4 mM, had an inhibition effect on the corrosion behavior of carbon steel. According to EDAX analyses, increasing of sulfide concentration from 0.4 to 4 mM Na2S, the Fe/S ratio decreased from 12.02 at 0.4 mM to 2.6 at 4 mM Na2S.

关键词： Carbon Steel Sulfides Weight Loss Anodic Dissolution Polarization

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A Study on Quark-Gluon Plasma Equation of State Using Generalized Uncertainty Principle

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Journal of Modern Physics 2013年第4期4卷 13-20页

作者： Nabil M. El Naggar Lotfy I. Abou-Salem Ibrahim A. Elmashad Ahmed farag ali Physics Department Faculty of Science Benha University Benha Egypt

The effects of Generalized Uncertainty Principle, which has been predicted by various theories of quantum gravity replacing the Heisenberg’s uncertainty principle near the Planck scale, on the thermodynamics of ideal Quark-Gluon Plasma (QGP) consisting of two and three flavors are included. There is a clear effect on thermodynamical quantities like the pressure and the energy density which means that a different effect from quantum gravity may be used in enhancement the theoretical results for Quark-Gluon Plasma state of matter. This effect looks like the technique used in lattice QCD simulation. We determine the value of the bag parameter from fitting lattice QCD data and a physical interpretation to the negative bag pressure is introduced.

关键词： Generalized Uncertainty Principle

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Dietary Patterns and Their Association with Depression among Type 2 Diabetes Patients in Gaza Strip, Palestine

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Food and Nutrition Sciences 2019年第5期10卷 533-550页

作者： Abdel Hamid el Bilbeisi Mohammed Srour Amany el Afifi Halgord ali M. farag Kurosh Djafarian Department of Clinical Nutrition Faculty of Pharmacy Al Azhar University of Gaza Gaza Strip Palestine Department of Nutrition Medicine & Health Sciences College University of Palestine Gaza Strip Palestine Department of Clinical Nutrition School of Nutritional Sciences and Dietetics Tehran University of Medical Sciences International Campus (TUMS- IC) Tehran Iran Faculty of Pharmacy Al Azhar University of Gaza Gaza Strip Palestine Halabja Technical Institute Sulaimani Polytechnic University Kurdistan Iraq

Background: Depression is a common mental disorder. Globally, more than 340 million people of all ages suffer from depression. The aim of our study was to determine the association between major dietary patterns and depression among type 2 diabetes patients. Methods: This cross-sectional study was conducted among 480 type 2 diabetes patients attending primary healthcare centers in Gaza Strip, Palestine. The depression, anxiety, stress scales (DASS, 21-items) questionnaire was used to measure the score of depression. The participants’ demographic, socioeconomic and medical history data was collected and the 98-items semi-quantitative food frequency questionnaire was used for evaluating the dietary patterns. Statistical analysis was performed using SPSS version 20. Results: Based on depression scale, 29.0% of type 2 diabetes patients had depression, (58.3% females, and 41.7% males). The prevalence of mild, moderate, severe, and very severe depression was 11.7%, 8.5%, 6.7%, and 2.1%, respectively. Furthermore, two major dietary patterns were identified by factor analysis: The Western, and the grains-vegetables, and fruits patterns. After adjusting for the potential confounders, patients in the lowest tertile (T1) of the grains-vegetables, and fruits dietary pattern had a lower odds for depression (OR 0.763 95% CI (0.667 - 0.871), P value = 0.001);where as a higher odds for healthy (OR 1.443 95% CI (1.131 - 1.839), P value = 0.004), compared to those in the highest tertile (T3). Conclusion: The grains-vegetables, and fruits dietary pattern may be associated with a lower prevalence of depression, and has been shown to be the healthiest dietary pattern among type 2 diabetes patients.

关键词： Depression Dietary Patterns Factor Analysis Prevalence Type 2 Diabetes Mellitus

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Real time endoscopic ultrasound elastography and strain ratio in the diagnosis of solid pancreatic lesions

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World Journal of Gastroenterology 2017年第32期23卷 5962-5968页

作者： Hussein Okasha Shaimaa Elkholy Ramy El-Sayed Mohamed-Naguib Wifi Mohamed El-Nady Walid El-Nabawi Waleed A El-Dayem Mohamed I Radwan ali farag Yahya El-sherif Emad Al-Gemeie Ahmed Salman Mohamed El-Sherbiny Ahmed El-Mazny Reem E Mahdy Internal Medicine Department Cairo University Department of Tropical Medicine Zagazig University Internal Medicine Department Beni Suef University Tropical Medicine Department El Manial Specialized Hospital Pathology Department National Cancer InstituteCairo University Internal Medicine Department Assiut University

AIM To evaluate the accuracy of the elastography score combined to the strain ratio in the diagnosis of solid pancreatic lesions(SPL). METHODS A total of 172 patients with SPL identified by endoscopic ultrasound were enrolled in the study to evaluate the efficacy of elastography and strain ratio in differentiating malignant from benign lesions. The semi quantitative score of elastography was represented by the strain ratio method. Two areas were selected, area(A) representing the region of interest and area(B) representing the normal area. Area(B) was then divided by area(A). Sensitivity, specificity, positive predictive value(PPV), negative predictive value(NPV), and accuracy were calculated by comparing diagnoses made by elastography, strain ratio and final *** SPL were shown to be benign in 49 patients and malignant in 123 patients. Elastography alone had a sensitivity of 99%, a specificity of 63%, and an accuracy of 88%, a PPV of 87% and an NPV of 96%. The best cut-off level of strain ratio to obtain the maximal area under the curve was 7.8 with a sensitivity of 92%, specificity of 77%, PPV of 91%, NPV of 80% and an accuracy of 88%. Another estimated cut off strain ratio level of 3.8 had a higher sensitivity of 99% and NPV of 96%, but with less specificity, PPV and accuracy 53%, 84% and 86%, respectively. Adding both elastography to strain ratio resulted in a sensitivity of 98%, specificity of 77%, PPV of 91%, NPV of 95% and accuracy of 92% for the diagnosis of SPL. CONCLUSION Combining elastography to strain ratio increases the accuracy of the differentiation of benign from malignant SPL.

关键词： Endoscopic Ultrasound Elastography Strain Ratio Real Time Pancreatic lesions

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A Support Vector Machine(SVM)Model for Privacy Recommending Data Processing Model(PRDPM)in Internet of Vehicles

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Computers, Materials & Continua 2025年第1期82卷 389-406页

作者： ali Alqarni Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia

Open networks and heterogeneous services in the Internet of Vehicles(IoV)can lead to security and privacy *** key requirement for such systems is the preservation of user privacy,ensuring a seamless experience in driving,navigation,and *** privacy needs are influenced by various factors,such as data collected at different intervals,trip durations,and user *** address this,the paper proposes a Support Vector Machine(SVM)model designed to process large amounts of aggregated data and recommend privacy preserving *** model analyzes data based on user demands and interactions with service providers or neighboring *** aims to minimize privacy risks while ensuring service continuity and *** SVMmodel helps validate the system’s reliability by creating a hyperplane that distinguishes between maximum and minimum privacy *** results demonstrate the effectiveness of the proposed SVM model in enhancing both privacy and service performance.

关键词： Support vector machine big data IoV privacy-preserving

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MARIE:One-Stage Object Detection Mechanism for Real-Time Identifying of Firearms

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 279-298页

作者： Diana Abi-Nader Hassan Harb ali Jaber ali Mansour Christophe Osswald Nour Mostafa Chamseddine Zaki Computer Science Department Faculty of SciencesLebanese UniversityBeirut146404Lebanon College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Lab-STICC CNRS UMR 6285ENSTA-BretagneBrest29200France

Security and safety remain paramount concerns for both governments and individuals *** today’s context,the frequency of crimes and terrorist attacks is alarmingly increasing,becoming increasingly intolerable to ***,there is a pressing need for swift identification of potential threats to preemptively alert law enforcement and security forces,thereby preventing potential attacks or violent *** advancements in big data analytics and deep learning have significantly enhanced the capabilities of computer vision in object detection,particularly in identifying *** paper introduces a novel automatic firearm detection surveillance system,utilizing a one-stage detection approach named MARIE(Mechanism for Realtime Identification of Firearms).MARIE incorporates the Single Shot Multibox Detector(SSD)model,which has been specifically optimized to balance the speed-accuracy trade-off critical in firearm detection *** SSD model was further refined by integrating MobileNetV2 and InceptionV2 architectures for superior feature extraction *** experimental results demonstrate that this modified SSD configuration provides highly satisfactory performance,surpassing existing methods trained on the same dataset in terms of the critical speedaccuracy *** these innovations,MARIE sets a new standard in surveillance technology,offering a robust solution to enhance public safety effectively.

关键词： Firearm and gun detection single shot multi-box detector deep learning one-stage detector MobileNet inception convolutional neural network

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Vagus nerve stimulation in intracerebral hemorrhage:the need for further research

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Neural Regeneration Research 2025年第11期20卷 3213-3214页

作者： Sheharyar S.Baig ali N.ali Arshad Majid Sheffield Institute for Translational Neuroscience Division of NeuroscienceThe University of SheffieldSheffieldUK

Vagus nerve stimulation(VNS)and stroke:Stroke is the second leading cause of death and the third leading cause of disability worldwide(Baig et al.,2023).There have been significant paradigm shifts in the management of acute ischemic stroke through mechanical *** chronic ischemic stroke,invasive VNS paired with rehabilitation is associated with a significant increase in upper limb motor recovery and is FDA-approved(Baig et al.,2023).There are no treatments of similar efficacy in acute intracerebral hemorrhage(ICH)where several promising trials,e.g.,TICH-2,STOP-AUST,and TRAIGE did not show improvements in functional outcomes(Puy et al.,2023).

关键词： stimulation acute

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Comprehensive Review and Analysis on Facial Emotion Recognition:Performance Insights into Deep and Traditional Learning with Current Updates and Challenges

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Computers, Materials & Continua 2025年第1期82卷 41-72页

作者： Amjad Rehman Muhammad Mujahid Alex Elyassih Bayan AlGhofaily Saeed ali Omer Bahaj Artificial Intelligence&Data Analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia MIS Department College of Business Administration Prince Sattam Bin Abdulaziz UniversityAlKharj11942Saudi Arabia

In computer vision and artificial intelligence,automatic facial expression-based emotion identification of humans has become a popular research and industry *** demonstrations and applications in several fields,including computer games,smart homes,expression analysis,gesture recognition,surveillance films,depression therapy,patientmonitoring,anxiety,and others,have brought attention to its significant academic and commercial *** study emphasizes research that has only employed facial images for face expression recognition(FER),because facial expressions are a basic way that people communicate meaning to each *** immense achievement of deep learning has resulted in a growing use of its much architecture to enhance *** review is on machine learning,deep learning,and hybrid methods’use of preprocessing,augmentation techniques,and feature extraction for temporal properties of successive frames of *** following section gives a brief summary of assessment criteria that are accessible to the public and then compares them with benchmark results the most trustworthy way to assess FER-related research topics *** this review,a brief synopsis of the subject matter may be beneficial for novices in the field of FER as well as seasoned scholars seeking fruitful avenues for further *** information conveys fundamental knowledge and provides a comprehensive understanding of the most recent state-of-the-art research.

关键词： Face emotion recognition deep learning hybrid learning CK+ facial images machine learning technological development

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