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Influence of ellagic acid on prostate cancer cell proliferation:A caspase-dependent pathway

Asian Pacific Journal of Tropical Medicine 2011年第7期4卷 550-555页

作者： Arshi Malik Sarah Afaq Mohammad Shahid Kafil Akhtar abdullah assiri Department of Clinical Biochemistry College of MedicineKing Khalid UniversityAbhaKingdom of Saudi Arabia Department of Microbiology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia Department of Pathology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia Interventional Cardiologist College of MedicineKing Khalid UniversityAbhaKingdom of Saudi Arabia

Objective:To evaluate the effect of allagic acid treatment on the cell viability of human prostate cancer ***:Ellagic acid(10-100 mol/L) treatment(48 h) of human prostate carcinoma PC3 cells was found to result in a dose-dependent inhibition of cell growth and apoptosis of PC3 cells as assessed by MTT assay,western *** cytometry and confocal ***:We observed that ellagic acid treatment of PC3 cells resulted in a dose dependent inhibition of cell growth/cell *** ellagic acid caused cell growth inhibition was found to be accompanied by induction of apoptosis,as assessed by the cleavage of poly (ADP-ribose) polymerase(PARP) and morphological ***,induction of apoptosis accompanied a decrease in the levels of antiapoptotic protein Bcl-2 and increase in proapoptotic protein *** shifting the Bax:Bcl-2 ratio in favor of *** acid treatment of PC3 cells was also found to result in significant activation of caspases,as shown by the dose dependent decrease in the protein expression of procaspase-3,-6.-8 and -*** ellagic acid-mediated induction of apoptosis was significantly(80%-90%) inhibited by the caspase inhibitor N-benzyloxycarbonyl-Val-Ala-Asp(OMe)-fluoromethylketone(Z-VAD-FMK).Thus these data suggested an essential role of caspases in ellagic acid-mediated apoptosis of PC3 ***:It is tempting to suggest that consumption of tropical pigmented fruits and vegetables could be an effective strategy to combat prostate cancer.

关键词： Ellagic acid Apoptosis Prostate cancer Caspases

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Advancing male age differentially alters levels and localization patterns of PLCzeta in sperm and testes from different mouse strains

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Asian Journal of Andrology 2021年第2期23卷 178-187页

作者： Junaid Kashir Bhavesh V Mistry Maha Adel Gumssani Muhammad Rajab Reema Abu-Dawas Falah AlMohanna Michail Nomikos Celine Jones Raed Abu-Dawud Nadya Al-Yacoub Kevin Coward F Anthony Lai abdullah M assiri College of Medicine Alfaisal UniversityRiyadh 11533Saudi Arabia Department of Comparative Medicine King Faisal Specialist Hospital and Research CentreRiyadh 11211Saudi Arabia College of Medicine QU HealthQatar UniversityDoha PO Box 2713Qatar Nuffield Department of Women’s and Reproductive Health University of OxfordLevel 3Women’s CentreJohn Radcliffe HospitalOxford OX39DUUnited Kingdom Biomedical Research Centre Qatar UniversityDoha PO Box 2713Qatar

Sperm-specific phospholipase C zeta(PLCζ)initiates intracellular calcium(Ca2+)transients which drive a series of concurrent events collectively termed oocyte *** investigations have linked abrogation and absence/reduction of PLCζwith forms of male infertility in humans where oocyte activation ***,very few studies have examined potential relationships between PLCζand advancing male age,both of which are increasingly considered to be major effectors of male *** efforts in humans may be hindered by inherent PLCζvariability within the human population,alongside a lack of sufficient controllable ***,utilizing immunoblotting,immunofluorescence,and quantitative reverse transcription PCR(qRT-PCR)we examined for the first time PLCζprotein levels and localization patterns in sperm,and PLCζmRNA levels within testes,from mice at 8 weeks,12 weeks,24 weeks,and 36 weeks of age,from two separate strains of mice,C57BL/6(B6;inbred)and CD1(outbred).Collectively,advancing male age generally diminished levels and variability of PLCζprotein and mRNA in sperm and testes,respectively,when both strains were ***,advancing male age altered the predominant pattern of PLCζlocalization in mouse sperm,with younger mice exhibiting predominantly post-acrosomal,and older mice exhibiting both post-acrosomal and acrosomal populations of PLCζ.However,the specific pattern of such decline in levels of protein and mRNA was ***,our results demonstrate a negative relationship between advancing male age and PLCζlevels and localization patterns,indicating that aging male mice from different strains may serve as useful models to investigate PLCζin cases of male infertility and subfertility in humans.

关键词： ageing fertilization male infertility oocyte activation phospholipase C zeta sperm

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DeBERTa-GRU: Sentiment Analysis for Large Language Model

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Computers, Materials & Continua 2024年第6期79卷 4219-4236页

作者： Adel assiri Abdu Gumaei Faisal Mehmood Touqeer Abbas Sami Ullah Department of Informatics for Business College of BusinessKing Khalid UniversityAbha61421Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou450001China Department of Computer Science and Technology Beijing University of Chemical TechnologyBeijing100029China Department of Computer Science Government College University FaisalabadFaisalabadPunjab38000Pakistan

Modern technological advancements have made social media an essential component of daily *** media allow individuals to share thoughts,emotions,and *** analysis plays the function of evaluating whether the sentiment of the text is positive,negative,neutral,or any other personal emotion to understand the sentiment context of the *** analysis is essential in business and society because it impacts strategic *** analysis involves challenges due to lexical variation,an unlabeled dataset,and text distance *** execution time increases due to the sequential processing of the sequence ***,the calculation times for the Transformer models are reduced because of the parallel *** study uses a hybrid deep learning strategy to combine the strengths of the Transformer and Sequence models while ignoring their *** particular,the proposed model integrates the Decoding-enhanced with Bidirectional Encoder Representations from Transformers(BERT)attention(DeBERTa)and the Gated Recurrent Unit(GRU)for sentiment *** the Decoding-enhanced BERT technique,the words are mapped into a compact,semantic word embedding space,and the Gated Recurrent Unit model can capture the distance contextual semantics *** proposed hybrid model achieves F1-scores of 97%on the Twitter Large Language Model(LLM)dataset,which is much higher than the performance of new techniques.

关键词： DeBERTa GRU Naive Bayes LSTM sentiment analysis large language model

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Evaluation of Infection Prevention and Control Programmes (IPC), and Assessment Tools for IPC-Programmes at MOH-Health Facilities in Saudi Arabia

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Open Journal of Nursing 2014年第7期4卷 483-492页

作者： abdullah M. assiri Abdul Jamil Choudhry Suhair S. Alsaleh Khalid H. Alanazi Suha S. Alsaleh Department of Medicine King Fahad Medical City Riyadh KSA Imam Abdulrahman bin Faisal Hospital Dammam-National Guard Health Affairs Dammam KSA Ministry of Health Riyadh KSA

Infection Prevention and Control is a Quality Standard and is crucial in all health care facilities. Many hospitals remain deficient in trained infection control professionals (ICPs), and now there is an acute awareness of the need to correct this shortfall. The objectives of the study were to describe the current status of ICP programs at ministry of health (MOH) and to evaluate the current status of infection prevention and control programs at health care facilities in kingdom of Saudi Arabia. A cross sectional interview and a self assessment study were conducted on infection prevention and control (IPC) program in Saudi Arabia. All the MOH hospital in all regions was randomly chosen to the study setting. The selection of facilities was done at random with a clear intention to include twenty regions. A random sample was taken from these hospitals with sample size 56 (55.4%), by Multi stage random sampling technique. Results showed that the total facility in all over the kingdom was 51.4% where central area covered the facility score 58.2%, followed by western area (54.8%), south (53.7%), east (46.3%), and lastly with (45.8%) north area. Survey revealed that the infrastructure for infection control program in Saudi Arabian hospitals remained underdeveloped. There were defects in the identified components of effective infection control programs.

关键词： Infection Prevention Control Assessment Tools Health Facility Saudi Arabia

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Gut microbiota predicts the diagnosis of ulcerative colitis in Saudi children

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World Journal of Clinical Pediatrics 2024年第1期13卷 118-124页

作者： Mohammad El Mouzan Ahmed Al Sarkhy Asaad assiri Department of Pediatrics Gastroenterology UnitKing Saud UniversityRiyadh 11461Saudi Arabia

BACKGROUND Ulcerative colitis(UC)is an immune-mediated chronic inflammatory condition with a worldwide *** the etiology of this disease is still unknown,the understanding of the role of the microbiota is becoming increasingly *** To investigate the predictive power of the gut microbiota for the diagnosis of UC in a cohort of newly diagnosed treatment-naïve Saudi children with *** The study population included 20 children with a confirmed diagnosis of UC and 20 healthy *** DNA was extracted and sequenced,and shotgun metagenomic analysis was performed for bacteria and *** and bioinformatics demonstrated significant dysbiosis in the form of reduced alpha diversity,beta diversity,and significant difference of abundance of taxa between children with UC and control *** receiver operating characteristic curve,a probability curve,was used to determine the difference between the UC and control *** area under the curve(AUC)represents the degree of separability between the UC group and the control *** AUC was calculated for all identified bacterial species and for bacterial species identified by the random forest classification algorithm as important potential biomarkers of UC.A similar method of AUC calculation for all bacteriophages and important species was *** The median age and range were 14(0.5-21)and 12.9(6.8-16.3)years for children with UC and controls,respectively,and 40%and 35%were male for children with UC and controls,*** AUC for all identified bacterial species was 89.5%.However,when using the bacterial species identified as important by random forest classification algorithm analysis, the accuracy increased to 97.6%. Similarly, the AUC for all theidentified bacteriophages was 87.4%, but this value increased to 94.5% when the important bacteriophagebiomarkers were *** very high to excellent AUCs of fecal bacterial and viral species sugge

关键词： Ulcerative colitis Microbiota Area under the curve Children Saudi Arabia

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Anomaly Classification Using Genetic Algorithm-Based Random Forest Modelfor Network Attack Detection

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Computers, Materials & Continua 2021年第1期66卷 767-778页

作者： Adel assiri Management Information Systems Department College of BusinessKing Khalid UniversityAbha61421Saudi Arabia

Anomaly classification based on network traffic features is an important task to monitor and detect network intrusion ***-based intrusion detection systems(NIDSs)using machine learning(ML)methods are effective tools for protecting network infrastructures and services from unpredictable and unseen *** several ML methods,random forest(RF)is a robust method that can be used in ML-based network intrusion detection ***,the minimum number of instances for each split and the number of trees in the forest are two key parameters of RF that can affect classification ***,optimal parameter selection is a real problem in RF-based anomaly classification of intrusion detection *** this paper,we propose to use the genetic algorithm(GA)for selecting the appropriate values of these two parameters,optimizing the RF classifier and improving the classification accuracy of normal and abnormal network *** validate the proposed GA-based RF model,a number of experiments is conducted on two public datasets and evaluated using a set of performance evaluation *** these experiments,the accuracy result is compared with the accuracies of baseline ML classifiers in the recent *** results reveal that the proposed model can avert the uncertainty in selection the values of RF’s parameters,improving the accuracy of anomaly classification in NIDSs without incurring excessive time.

关键词： Network-based intrusion detection system(NIDS) random forest classifier genetic algorithm KDD99 UNSW-NB15

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Efficient Training of Multi-Layer Neural Networks to Achieve Faster Validation

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Computer Systems Science & Engineering 2021年第3期36卷 435-450页

作者： Adel Saad assiri Management Information Systems Department College of BusinessKing Khalid UniversityAbhaSaudi Arabia

Artificial neural networks(ANNs)are one of the hottest topics in computer science and artificial intelligence due to their potential and advantages in analyzing real-world problems in various disciplines,including but not limited to physics,biology,chemistry,and ***,ANNs lack several key characteristics of biological neural networks,such as sparsity,scale-freeness,and *** concept of sparse and scale-free neural networks has been introduced to fill this *** sparsity is implemented by removing weak weights between neurons during the learning process and replacing them with random *** the network is initialized,the neural network is fully connected,which means the number of weights is four times the number of *** this study,considering that a biological neural network has some degree of initial sparsity,we design an ANN with a prescribed level of initial *** neural network is tested on handwritten digits,Arabic characters,CIFAR-10,and Reuters newswire *** show that it is possible to reduce the number of weights by up to 50%without losing prediction ***,in both cases,the testing time is dramatically reduced compared with fully connected ANNs.

关键词： Sparsity weak weights multi-layer neural network NN training with initial sparsity

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Explainable Artificial Intelligence-A New Step towards the Trust in Medical Diagnosis with AI Frameworks:A Review

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Computer Modeling in Engineering & Sciences 2022年第12期133卷 843-872页

作者： Nilkanth Mukund Deshpande Shilpa Gite Biswajeet Pradhan Mazen Ebraheem assiri Department of Electronics&Telecommunication LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)Pune412115India Electronics&Telecommunication Vilad GhatDr.Vithalrao Vikhe Patil College of EngineeringAhmednagarMaharashtra414111India Centre for AdvancedModelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering&ITUniversity of Technology SydneySydney2007Australia Center of Excellence for Climate Change Research King Abdulaziz UniversityJeddah21589Saudi Arabia Earth Observation Centre Universiti KebangsaanInstitute of Climate ChangeMalaysiaSelangor43600Malaysia Department of Computer Science LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)Pune412115India Symbiosis Center for Applied Artificial Intelligence(SCAAI) LavaleSymbiosis International(Deemed University)Pune412115India

Machine learning(ML)has emerged as a critical enabling tool in the sciences and industry in recent ***’s machine learning algorithms can achieve outstanding performance on an expanding variety of complex tasks-thanks to advancements in technique,the availability of enormous databases,and improved computing *** learning models are at the forefront of this ***,because of their nested nonlinear structure,these strong models are termed as“black boxes,”as they provide no information about how they arrive at their *** a lack of transparencies may be unacceptable in many applications,such as the medical domain.A lot of emphasis has recently been paid to the development of methods for visualizing,explaining,and interpreting deep *** situation is substantially different in safety-critical *** lack of transparency of machine learning techniques may be limiting or even disqualifying issue in this ***,when single bad decisions can endanger human life and health(e.g.,autonomous driving,medical domain)or result in significant monetary losses(e.g.,algorithmic trading),depending on an unintelligible data-driven system may not be an *** lack of transparency is one reason why machine learning in sectors like health is more cautious than in the consumer,e-commerce,or entertainment *** is the term introduced in the preceding *** AImodel’s black box nature will become explainable with these *** in the medical domain,diagnosing a particular disease through AI techniques would be less adapted for commercial *** models’explainable natures will help them commercially in diagnosis decisions in the medical *** paper explores the different frameworks for the explainability of AI models in the medical *** available frameworks are compared with other parameters,and their suitability for medical fields is also discussed.

关键词： Medical imaging explainability artificial intelligence XAI

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Gut microbiota predicts the diagnosis of celiac disease in Saudi children

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World Journal of Gastroenterology 2023年第13期29卷 1994-2000页

作者： Mohammad El Mouzan Asaad assiri Ahmed Al Sarkhy Department of Pediatrics(Gastroenterology Unit) King Saud UniversityRiyadh 11461Saudi Arabia

BACKGROUND Celiac disease(CeD)is a multisystem immune-mediated multifactorial condition strongly associated with the intestinal *** To evaluate the predictive power of the gut microbiota in the diagnosis of CeD and to search for important taxa that may help to distinguish CeD patients from *** Microbial DNA from bacteria,viruses,and fungi,was isolated from mucosal and fecal samples of 40 children with CeD and 39 *** samples were sequenced using the HiSeq platform,the data were analyzed,and abundance and diversities were *** this analysis,the predictive power of the microbiota was evaluated by calculating the area under the curve(AUC)using data for the entire *** Kruskal-Wallis test was used to evaluate the significance of the difference between *** Boruta logarithm,a wrapper built around the random forest classification algorithm,was used to identify important bacterial biomarkers for *** In fecal samples,AUCs for bacterial,viral,and fungal microbiota were 52%,58%,and 67.7%respectively,suggesting weak performance in predicting ***,the combination of fecal bacteria and viruses showed a higher AUC of 81.8%,indicating stronger predictive power in the diagnosis of *** mucosal samples,AUCs for bacterial,viral,and fungal microbiota were 81.2%,58.6%,and 35%,respectively,indicating that mucosal bacteria alone had the highest predictive *** bacteria,Bacteroides intestinalis and Burkholderiales bacterium 1-1-47,in fecal samples and one virus,Human_endogenous_retrovirus_K,in mucosal samples are predicted to be“important”biomarkers,differentiating celiac from nonceliac disease *** intestinalis is known to degrade complex arabinoxylans and xylan which have a protective role in the intestinal ***,several Burkholderiales species have been reported to produce peptidases that hydrolyze gluten peptides,with the potential to reduce the gluten content of ***,a role fo

关键词： Celiac disease Microbial signature Children Saudi Arabia

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Earthquake-induced liquefaction hazard mapping at national-scale in Australia using deep learning techniques

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Geoscience Frontiers 2023年第1期14卷 118-132页

作者： Ratiranjan Jena Biswajeet Pradhan Mansour Almazroui Mazen assiri Hyuck-Jin Park Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering and Information TechnologyUniversity of Technology SydneyAustralia Center of Excellence for Climate Change Research Department of MeteorologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Energy and Mineral Resources Engineering Sejong UniversityChoongmu-gwan209 Neungdong-roGwangjin-guSeoul 05006Korea Earth Observation Centre Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600 UKMBangiSelangorMalaysia

Australia is a relatively stable continental region but not tectonically inert,having geological conditions that are susceptible to liquefaction when subjected to earthquake ground *** hazard assessment for Australia was conducted because no Australian liquefaction maps that are based on modern Al techniques are currently *** this study,several conditioning factors including Shear wave velocity(Vs30),clay content,soil water content,soil bulk density,soil thickness,soil pH,distance from river,slope and elevation were considered to estimate the liquefaction potential index(LPI).By considering the Probabilistic Seismic Hazard Assessment(PSHA)technique,peak ground acceleration(PGA)was derived for 50 yrs period(500 and 2500 yrs return period)in ***,liquefaction hazard index(LHI)(effects based on the size and depth of the liquefiable areas)was estimated by considering the LPI along with the 2%and 10%exceedance probability of earthquake ***,ground acceleration data from the Geoscience Australia projecting 2%and 10%exceedance rate of PGA for 50 yrs were used in this study to produce earthquake induced soil liquefaction hazard ***,deep neural net-works(DNNs)were also exerted to estimate liquefaction hazard that can be reported as liquefaction hazard base maps for Australia with an accuracy of 94%and 93%,*** per the results,very-high liquefaction hazard can be observed in Western and Southern Australia including some parts of *** research is the first ever country-scale study to be considered for soil liquefaction hazard in Australia using geospatial information in association with PSHA and deep learning *** study used an earthquake design magnitude threshold of Mw 6 using the source model *** resulting maps present the earthquake-triggered liquefaction hazard and are intending to establish a conceptual structure to guide more detailed investigations as may be requir

关键词： Earthquake induced liquefaction PSHA Deep learning GIS Australia

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