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Nigella sativa oil alleviates doxorubicin-induced cardiomyopathy and neurobehavioral changes in mice:In vivo and in-silico study

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Asian Pacific Journal of Tropical Biomedicine 2022年第7期12卷 312-322页

作者： Md Jamir Anwar Sattam Khulaif Alenezi Faizul Azam Danish Mahmood Faisal Imam khalid saad alharbi Department of Pharmacology and Toxicology Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmaceutical Chemistry&Pharmacognosy Unaizah College of PharmacyQassim UniversityAl-QassimSaudi Arabia Department of Pharmacology and Toxicology College of PharmacyKing Saud UniversityRiyadhSaudi Arabia Department of Pharmacology College of PharmacyJouf UniversitySakakahSaudi Arabia

Objective:To investigate the effect of Nigella sativa oil on cardiomyopathy and neurobehavioral changes induced by doxorubicin in ***:Swiss strain of albino female mice were divided into 6 groups of 5 animals in each:GroupⅠ(control group),groupⅡ(doxorubicin,10 mg/kg,i.v.),groupⅢ,Ⅳ,andⅤ(Nigella sativa oil;1.5,3,and 6 mL/kg,respectively),groupⅥ(Nigella sativa oil per se;6 mL/kg,p.o.).The duration of treatment was 15 d(10 days’pre-treatment and 5 days’post-treatment)and doxorubicin was administered on day 11th of the treatment *** Nigella sativa oil treatment,neurobehavioral tests,cardiac hypertrophy tests,and biochemical tests in serum and tissues were *** tests included assessment of anxiety-like behavior in the elevated plus maze,spontaneous alternation behavior in the cross maze,and depression-like behavior in modified forced swim *** tests included serum lactate dehydrogenase and creatinine kinase-MB,malondialdehyde and reduced glutathione in ***,molecular docking was used to estimate the affinity of the phytoconstituents of Nigella sativa oil with histone ***:Nigella sativa oil treatment significantly(P<0.001)restored doxorubicin-induced neurobehavioral changes,decreased lactate dehydrogenase and creatinine kinase-MB in the plasma,malondialdehyde contents in tissues,and increased reduced glutathione ***,no significant alteration was observed in Nigella sativa oil per se group as compared to the *** docking showed that Nigella sativa oil components had appreciable binding affinitiy with the protein cavities of HDAC1 and ***:The result shows that Nigella sativa oil exerts anxiolytic,antidepressant,and memory-enhancing effects in addition to cardioprotective effect against doxorubicin-induced cardiomyopathy in *** modulatory effect of Nigella sativa oil on oxidative stress could contribute to the cardioprotective effect and associated neuro

关键词： Nigella sativa oil Doxorubicin Cardiomyopathy Neurobehavioral changes Lactate dehydrogenase Creatinine kinase-MB Malondialdehyde Reduced glutathione Mice HDAC docking

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Video Summarization Approach Based on Binary Robust Invariant Scalable Keypoints and Bisecting K-Means

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Computers, Materials & Continua 2024年第3期78卷 3565-3583页

作者： Sameh Zarif Eman Morad khalid Amin Abdullah alharbi Wail S.Elkilani Shouze Tang Department of Information Technology Faculty of Computers and InformationMenoufia UniversityMenoufia32511Egypt Department of Artificial Intelligence Faculty of Artificial IntelligenceEgyptian Russian UniversityBader11829Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11362Saudi Arabia College of Applied Computer Science King Saud UniversityAl-Muzahmiya19676Saudi Arabia School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Due to the exponential growth of video data,aided by rapid advancements in multimedia *** became difficult for the user to obtain information from a large video *** process of providing an abstract of the entire video that includes the most representative frames is known as static video *** method resulted in rapid exploration,indexing,and retrieval of massive video *** propose a framework for static video summary based on a Binary Robust Invariant Scalable Keypoint(BRISK)and bisecting K-means clustering *** current method effectively recognizes relevant frames using BRISK by extracting keypoints and the descriptors from video *** video frames’BRISK features are clustered using a bisecting K-means,and the keyframe is determined by selecting the frame that is most near the cluster *** applying any clustering parameters,the appropriate clusters number is determined using the silhouette *** were carried out on a publicly available open video project(OVP)dataset that contained videos of different *** proposed method’s effectiveness is compared to existing methods using a variety of evaluation metrics,and the proposed method achieves a trade-off between computational cost and quality.

关键词： BRISK bisecting K-mean video summarization keyframe extraction shot detection

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Spinal dural arteriovenous fistula:a comprehensive review of the history,classification systems,management,and prognosis

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Chinese Neurosurgical Journal 2024年第1期10卷 48-56页

作者： Ali Alkhaibary Ahoud alharbi Nada Alnefaie Hajar Alammar Alshaymaa M.Arishy Noor Alghanim Yazeed M.Aldhfyan Arwa Albaiahy Yahya H.Khormi Wael Alshaya saad AlQahatani Ahmed Aloraidi Ahmed Alkhani Sami Khairy College of Medicine King Saud Bin Abdulaziz University for Health SciencesRiyadhSaudi Arabia King Abdullah International Medical Research Center RiyadhSaudi Arabia Division of Neurosurgery Department of SurgeryKing Abdulaziz Medical CityMinistry of National Guard-Health AffairsRiyadhSaudi Arabia Department of Neurosurgery National Neurosciences InstituteKing Fahad Medical CityRiyadhSaudi Arabia College of Medicine Jazan UniversityJazanSaudi Arabia Department of Neurosurgery King Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia Department of Surgery Faculty of MedicineJazan UniversityJazanSaudi Arabia

Spinal dural arteriovenous fistulas account for the majority of spinal vascular *** are typically located in the thoracolumbar region and are diagnosed in the middle-aged and elderly *** spinal dural arteriovenous fistulas have been postulated to be acquired,their exact development remains ***,the arteriovenous shunt is situated close to the spinal nerve root,inside the dura mater,where the blood from the radiculomeningeal artery and radicular vein *** history,there have been multiple classification systems of spinal arteriovenous shunts since *** were mainly based on the evolution of diagnostic studies as well as the treatment of these *** classification systems have undergone significant changes over the *** intracranial dural arteriovenous fistula,spinal dural arteriovenous fistula is progressive in *** neurological manifestations,due to venous congestion,tend to be insidious as well as *** include sensory deficits,such as paresthesia,bilateral and/or unilateral radicular pain affecting the lower limbs,and gait *** dural arteriovenous fistulas can be suspected on magnetic resonance imaging/magnetic resonance angiography and confirmed by digital subtraction angiography(DSA).The management includes surgery,endovascular therapy,and in selected cases,*** treatment goal of spinal dural arteriovenous fistula is to halt the progression of the *** prognosis depends on both the duration of symptoms as well as the clinical condition prior to *** present article comprehensively reviews the pathophysiology,changes in classification systems,natural history,clinical manifestations,radiological features,management,and prognosis.

关键词： Connection Endovascular Myelopathy Vascular

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Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI

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Computers, Materials & Continua 2024年第7期80卷 1075-1104页

作者： saad Akbar Humera Azam Sulaiman Sulmi Almutairi Omar Alqahtani Habib Shah Aliya Aleryani Department of Computer Science University of KarachiKarachi75270Pakistan Department of Computing Faculty of Engineering Science and TechnologyHamdard UniversityKarachi75540Pakistan Department of Health Informatics College of Applied Medical SciencesQassim UniversityQassim51452Saudi Arabia Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia

The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic *** this article,a hybrid approach in terms of datasets as well as the methodology by utilizing a previously unexplored dataset obtained from a private hospital for detecting COVID-19,pneumonia,and normal conditions in chest X-ray images(CXIs)is proposed coupled with Explainable Artificial Intelligence(XAI).Our study leverages less preprocessing with pre-trained cutting-edge models like InceptionV3,VGG16,and VGG19 that excel in the task of feature *** methodology is further enhanced by the inclusion of the t-SNE(t-Distributed Stochastic Neighbor Embedding)technique for visualizing the extracted image features and Contrast Limited Adaptive Histogram Equalization(CLAHE)to improve images before extraction of ***,an AttentionMechanism is utilized,which helps clarify how the modelmakes decisions,which builds trust in artificial intelligence(AI)*** evaluate the effectiveness of the proposed approach,both benchmark datasets and a private dataset obtained with permissions from Jinnah PostgraduateMedical Center(JPMC)in Karachi,Pakistan,are *** 12 experiments,VGG19 showcased remarkable performance in the hybrid dataset approach,achieving 100%accuracy in COVID-19 *** classification and 97%in distinguishing normal ***,across all classes,the approach achieved 98%accuracy,demonstrating its efficiency in detecting COVID-19 and differentiating it fromother chest disorders(Pneumonia and healthy)while also providing insights into the decision-making process of the models.

关键词： COVID-19 detection deep neural networks support vector machine CXIs InceptionV3 VGG16 VGG19 t-SNE embedding CLAHE attention mechanism XAI

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Development of Non-ABO Red Blood Cell Alloantibodies in Patient Undergoing Allogeneic Haematopoietic Stem Cell Transplant

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Case Reports in Clinical Medicine 2024年第5期13卷 162-170页

作者： Ahmed Alsuhaibani khalid Batarfi Ahmed alharbi Haya Alwasel Abdullah Alenazi Abdulmohsen Alotaibi Jalal Hassan Rayyan Alotaibi Hajer Aziz Nourah Alharethi Sara Alobaidi Maram Alonayzan Sanad Alharthi Majd Alanazi Sarah Alotaibi Ahmed Shareefi Bandar Alqahtani Department of Laboratory and Pathology King Abdulaziz Medical City of National Guard Riyadh Saudi Arabia

Alloantibodies that are non ABO Alloimmunization to protein antigens happens only after exposure, in contrast to ABO isohaemagglutinins, which are present naturally, even in the absence of prior exposure. It is recognized that while non-ABO RBC antibodies are less common than ABO antibodies, they generate essentially the same issues that lead to unfavorable clinical results. If non-ABO alloantibodies are identified early on, these issues related complications may be avoided This call for an in-depth understanding of the recipient and donor’s ABO-Rh grouping, antibody screening, and the phenotype of certain antigens. Equally important, the temporal association time between transplantation and hemolysis can help identify the underlying mechanism of hemolysis and direct appropriate management. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Finding the cause of post-HSCT anemia is essential for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HSCT and the temporal link between HSCT and anemia. Therefore, for that, it is crucial to identify the etiology of post-HSCT anemia. In this case report review, we would like to highlight the vital role of transfusion medicine services and stem cell clinical teams in paying particular attention to the clinical significance of non-ABO alloantibodies involved to avoid causing overt hemolysis of incompatible donor RBCs or delayed erythropoiesis. Considering the fact that some of the Haematopoietic stem cell transplant centers do not give an attention to the other non-ABO RBC antigens.

关键词： Haematopoietic Stem Cell Transplant (HSCT) Non-ABO Red Blood Cell Antibodies Alloantibodies

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Indications for exchange or explantation of phakic implantable collamer lens with central port in patients with and without keratoconus

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International Journal of Ophthalmology(English edition) 2021年第11期14卷 1714-1720页

作者： Albanderi Alhamzah saad S.alharbi Fahad Alfardan Tariq Aldebasi Tariq Almudhaiyan King Saud bin Abdulaziz University for Health Sciences College of MedicineRiyadh 22490Saudi Arabia Anerior Segment Department King Khaled Eye Specialist HospitalRiyadh 7191Saudi Arabia Department of Surgery Division of OphthalmologyNational Guard HospitalRiyadh 22490Saudi Arabia King Abdullah International Medical Research Center Riyadh 22490Saudi Arabia

AIM:To evaluate the causes of phakic implantable collamer lens(ICL)exchange/explantation in patients with and without keratoconus(KC)at two tertiary hospitals in Riyadh,Saudi ***:A retrospective chart review of all patients who underwent ICL(model V4 c with central port)exchange/explantation was performed using the electronic medical record *** available preoperative and postoperative data were documented for each ***:Over 7 y,2283 ICL implantation procedures were performed;46 implants(2%)required exchange(21 implants)/explantation(25 implants),of which 14 cases(30.4%)were patients with *** for ICL exchange/explantation in non-KC group were vault measurement,cataract formation,increased intraocular pressure,inaccurate refraction,and patient dissatisfaction in 22(68.75%),4(12.5%),3(9.37%),2(6.25%),and 1(3.12%)case,*** most common indication for ICL exchange/explantation in the KC group was inaccurate vault sizing in 11 patients(78.57%),inaccurate refraction in 2 patients(14.28%),and patient dissatisfaction postoperatively in 1(7.14%)***:ICL implantation results in predictable refractive outcomes over the long term with exchange/explantation rates comparable to previous *** vault size is the most common cause of ICL exchange/explantation among patients with or without KC.

关键词： explantation exchange implantable collamer lens vault

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Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics

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Computers, Materials & Continua 2021年第6期67卷 3545-3562页

作者： Muhammad saad Maaz Bin Ahmad Muhammad Asif khalid Masood Mohammad A.Al Ghamdi College of Computing and Information Sciences PAF KIETKarachiPakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan Department of Computer Science Umm Al-Qura UniversityMakkah CitySaudi Arabia

Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish u,swine u,and coronavirus disease 2019(COVID-19).This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation *** technologies can help prevent outbreaks of any disease that can disperse widely and develop into a ***,a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy beacon packets for smart contact ***,the connectivity of the device with Android or iOS applications using long-term evolution technology is realized to achieve ***,mathematical formulations are proposed to measure the distance between coordinates in order to detect geo-fencing *** formulations are specically designed for the virtual circular and polygonal boundaries used to restrict suspected or infected persons from trespassing in predetermined areas,e.g.,at home,in a hospital,or in an isolation *** proposed framework outperforms existing solutions,since it is implemented on a wider scale,provides a range of functionalities,and is cost-effective.

关键词： Coronavirus disease 2019 pandemic machine-to-machine industrial internet of things social distance geo-fencing

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Threefold Optimized Forecasting of Electricity Consumption in Higher Education Institutions

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Computers, Materials & Continua 2022年第11期73卷 2351-2370页

作者： Majida Kazmi Hashim Raza Khan Lubaba Mohammad Hashir Bin khalid saad Ahmed Qazi Faculty of Electrical and Computer Engineering NED University of Engineering and TechnologyKarachi75270Pakistan Neurocomputation Lab National Center of Artificial IntelligenceKarachi75270Pakistan

Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energyexpenses. A large supply-demand gap of over 6 GW exists in Pakistan asreported in 2018. Reducing this gap from the supply side is an expensiveand complex task. However, efficient energy management and distributionon demand side has potential to reduce this gap economically. Electricityload forecasting models are increasingly used by energy managers in takingreal-time tactical decisions to ensure efficient use of resources. Advancementin Machine-learning (ML) technology has enabled accurate forecasting ofelectricity consumption. However, the impact of computation cost affordedby these ML models is often ignored in favour of accuracy. This studyconsiders both accuracy and computation cost as concurrently significantfactors because together they shape the technology environment as well ascreate economic impact. Thus, a three-fold optimized load forecasting modelis proposed which includes (1) application specific parameters selection, (2)impact of different dataset granularities and (3) implementation of specificdata preparation. It deploys and compares the widely used back-propagationArtificial Neural Network (ANN) and Random Forest (RF) models for theprediction of electricity consumption of buildings within a university. In addition to the temporal and historical power consumption date as input parameters, the study also embeds weather data as well as university operationalcalendars resulting in improved performance. The outcomes are indicativethat the granularity i.e. the scale of details in data, and set of reduced and fullinput parameters impact performance accuracies differently for ANN and RFmodels. Experimental results show that overall RF model performed betterboth in terms of accuracy as well as computational time for a 1-min, 15-minand 1-h dataset

关键词： Electricity forecasting short term higher educational institution artificial neural network random forest accuracy computational time

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Clinical epidemiology of ulcerative colitis in Arabs based on the Montréal classification

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World Journal of Gastroenterology 2014年第46期20卷 17525-17531页

作者： Othman R alharbi Nahla A Azzam Ahmed S Almalki Majid A Almadi khalid A Alswat Nazia Sadaf Abdulrahman M Aljebreen Gastroenterology Division King Khalid University Hospital King Saud University Riyadh 11461Saudi Arabia Gastroenterology Division Riyadh Military HospitalRiyadh 11461Saudi Arabia Gastroenterology Division the Mc Gill University Health Center Montréal General Hospital Mc Gill UniversityMontréal H3A 1W9Canada

AIM:To determine the clinical,epidemiological and phenotypic characteristics of ulcerative colitis(UC)in Saudi Arabia by studying the largest cohort of Arab UC ***:Data from UC patients attending gastroenterology clinics in four tertiary care centers in three cities between September 2009 and September 2013were entered into a validated web-based registry,inflammatory bowel disease information system(IBDIS).The IBDIS database covers numerous aspects of inflammatory bowel *** characteristics,disease phenotype and behavior,age at diagnosis,course of the disease,and extraintestinal manifestations were ***:Among 394 UC patients,males comprised51.0%and females 49.0%.According to the Montréal classification of age,the major chunk of our patients belonged to the A2 category for age of diagnosis at17-40 years(68.4%),while 24.2%belonged to the A3category for age of diagnosis at>40 *** to the same classification,a majority of patients had extensive UC(42.7%),35.3%had left-sided colitis and29.2%had only ***,51.3%were in remission,16.6%had mild UC,23.4%had moderate UC and 8.6%had severe *** relapse occurred in17.4%patients,infrequent relapse in 77%and 4.8%had chronic disease.A majority(85.2%)of patients was steroid *** regard to extraintestinal manifestations,arthritis was present in 16.4%,osteopenia in 31.4%,osteoporosis in 17.1%and cutaneous involvement in 7.0%.CONCLUSION:The majority of UC cases were young people(17-40 years),with a male *** the disease course was found to be similar to that reported in Western countries,more similarities were found with Asian countries with regards to the extent of the disease and response to steroid therapy.

关键词： Ulcerative colitis Inflammatory bowel disease information system Saudi Arabia Epidemiology

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Effects of cucumber mosaic virus-infected chilli plants on non-vector Bemisia tabaci (Hemiptera Aleyrodidae)

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Insect Science 2019年第1期26卷 76-85页

作者： khalid A.saad M.N.Mohamad Roff Rebecca H.Hallett Idris B.Abd-Ghani Faculty of Science and Technology School of Environmental and Natural Resource SciencesNational University MalaysiaBangi SelangorMalaysia Horticulture Research Centre HeadquartersMARDI-UPMSerdang SelangorMalaysia School of Environmental Sciences University of GuelphGuelphOntarioCanada

Plant virus infections are known to alter host plant attractiveness and suitability for insect *** study was conducted to determine how cucumber mosaic virus (CMV)-infected chilli plants affect the fitness and settling preferences ofnonvector whitefly,Bemisia tabaci adults under dual-choice conditions with volatile organic compounds analyzed using solid phase microextraction coupled with gas chromatography-mass spectrometry (GC-MS).Results showed that the presence of CIVIV in chilli plants substantially affects the settling preferences of the ***,which preferred to settle on noninfected *** of the egg stage and the longevity and fecundity of adult *** on CMV-infected chilli plants were not markedly different from those on noninfected chilli *** contrast,the developmental time from egg to adult was significantly reduced in CMV-infected chilli plants compared to the noninfected *** results also showed that CMV-infected chilli plants released significantly more linalool and phenylacetaldehyde than noninfected ***,it was suggested that the behavioral response of *** might be modified by CMV-infected plants,which alter the release of specific headspace *** on these results,the modification of plant volatile profiles may help in enhancing the effectiveness of biological control and the protection of crop plants against ***.

关键词： Bromoviridae Capsicum anmium cucumovirus in sect-pathogen interactions whitefly

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