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Anal Invasive Squamous Cell Cancer and Human Papillomavirus Distribution in HIV-Infected and Non-HIV-Infected Individuals

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International Journal of Clinical Medicine 2014年第19期5卷 1155-1160页

作者： laila darwich Sebastian Videla Mari-Paz Canadas Josep Coll Boris Revollo Marta Pinol Francesc Garcia-Cuyas Eva Castella Bonaventura Clotet Guillem Sirera Lluita Contra La SIDA Foundation University Hospital Germans Trias i PujolBadalonaSpain Departament de Sanitat i d’Anatomia Animals Faculty of VeterinaryUniversitat Autonoma de Barcelona(UAB)BellaterraSpain Department of Experimental and Health Sciences Faculty of Health and Life SciencesUniversitat Pompeu FabraBarcelonaSpain General-Labco BarcelonaSpain HIV Clinical Unit University Hospital Germans Trias i PujolUniversitat Autonoma de Barcelona(UAB)BadalonaSpain Retrovirology Laboratory IrsiCaixa Foundation University Hospital Germans Trias i PujolBadalonaSpain Universitat de Vic VicSpain

Invasive-squamous-cell-cancer (ISCC) of the anal canal is an uncommon disease. Human papillomavirus (HPV) is the etiological agent of most of types of ISCC. The incidence of ISCC has been increasing in HIV-infected individuals, even after the introduction of highly active antiretroviral therapy. The aim of this study was to analyze biopsy specimens from patients diagnosed with ISCC at a tertiary hospital from 1983 to 2012 in order to detect HPV-DNA. Methods: Formaldehyde-fixed, paraffin-embedded specimens from patients with ISCC underwent HPV-DNA genotyping using multiplex PCR assay. Results: A total of 31 cases were collected;10 were HIV-infected (9 men, 1 woman) and 21 non-HIV-infected (11 men, 10 women). HPV infection was detected in 87.5% (7/8) of the HIV-infected patients (DNA from 2 biopsies was degraded) and 76.2% (16/21) of non-HIV-infected individuals. Multiple-type infections were only found in 28.6% (2/7) of the HIV-infected patients (no multiple-type infections in non-HIV-infected individuals). The most prevalent type was HPV-16: 50% (4/8) in the HIV-infected group (57% [4/7] of the HPV-positive samples) and 66.7% (14/21) in the non-HIV-infected group (87.5% (14/16) of the HPV-positive samples). Remarkably, 37.5% (3/8) of the HIV-infected group had high-risk HPV types not included in the vaccines (HPV-33, 51, 52, and 66) compared with 4.8% in the non-HIV-infected group (1/21, HPV-52). All cases of anal ISCC in HIV-infected patients were recorded in the highly active antiretroviral therapy era. Conclusion: HIV-infected patients presented anal ISCC with a higher proportion of high-risk HPV types not covered by the conventional vaccines than non-HIV-infected individuals.

关键词： Human Papillomavirus Anal Invasive Squamous Cell Cancer HIV Infection

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A Novel Energy and Communication Aware Scheduling on Green Cloud Computing

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Computers, Materials & Continua 2023年第12期77卷 2791-2811页

作者： laila Almutairi Shabnam Mohamed Aslam Department of Computer Engineering Computer Science and Information Technology CollegeMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Information Technology Computer Science and Information Technology CollegeMajmaah UniversityAl Majmaah11952Saudi Arabia

The rapid growth of service-oriented and cloud computing has created large-scale data centres *** data centres’operating costs mostly come from back-end cloud infrastructure and energy *** cloud computing,extensive communication resources are ***,cloud applications require more bandwidth to transfer large amounts of data to satisfy end-user *** is also essential that no communication source can cause congestion or bag loss owing to unnecessary switching *** paper proposes a novel Energy and Communication(EC)aware scheduling(EC-scheduler)algorithm for green cloud computing,which optimizes data centre energy consumption and traffic *** primary goal of the proposed EC-scheduler is to assign user applications to cloud data centre resources with minimal utilization of data *** first introduce a Multi-Objective Leader Salp Swarm(MLSS)algorithm for task sorting,which ensures traffic load balancing,and then an Emotional Artificial Neural Network(EANN)for efficient resource ***-scheduler schedules cloud user requirements to the cloud server by optimizing both energy and communication delay,which supports the lower emission of carbon dioxide by the cloud server system,enabling a green,unalloyed *** tested the proposed plan and existing cloud scheduling methods using the GreenCloud simulator to analyze the efficiency of optimizing data centre energy and other scheduler *** EC-scheduler parameters Power Usage Effectiveness(PUE),Data Centre Energy Productivity(DCEP),Throughput,Average Execution Time(AET),Energy Consumption,and Makespan showed up to 26.738%,37.59%,50%,4.34%,34.2%,and 33.54%higher efficiency,respectively,than existing state of the art schedulers concerning number of user applications and number of user requests.

关键词： EC-scheduler green cloud energy efficiency task scheduling task sorting resource allocation

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Machine Learning Techniques for Software Maintainability Prediction:Accuracy Analysis

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Journal of Computer Science & Technology 2020年第5期35卷 1147-1174页

作者： Sara Elmidaoui laila Cheikhi Ali Idri Alain Abran Softtrare Project Management TeamEcole Nationale Superieure d'Informattique et d'Analyse des SystemesMadinate Al IrfaneMohammed V University in Rabat.Agdal RabatBP 713Morocco Department of Software Engineering&Infonnation Technology Ecole de Technologie Superieure(ETS)Montreal HSC IKSCanada

Maintaining software once implemented on the end-user side is laborious and,over its lifetime,is most often considerably more expensive than the initial software *** prediction of software maintainability lias emerged as an important research topic to address industry expectations for reducing costs,in particular,maintenance *** and practitioners have been working on proposing and identifying a variety of techniques ranging from statistical to machine learning(ML)for better prediction of software *** review has been carried out to analyze the empirical evidence on the accuracy of software product maintainability prediction(SPMP)using ML *** paper analyzes and discusses the findings of 77 selected studies published from 2000 to 2018 according to the following criteria:maintainability prediction techniques,validation methods,accuracy criteria,overall accuracy of ML techniques,and the techniques offering the best *** review process followed the well-known syslematic review *** results show that ML techniques are frequently used in predicting *** particular,artificial neural network(ANN),support vector machine/regression(SVM/R).regression&decision trees(DT),and fuzzy neuro fuzzy(FNF)techniques are more accurate in terms of PRED and *** N-fold and leave-one-out cross-validation methods,and the MMRE and PRED accuracy criteria are frequently used in empirical *** general,ML techniques outperformed non-machine learning techniques,e.g.,regression analysis(RA)techniques,while FNF outperformed SVM/*** ANN in most ***,while many techniques were reported superior,no specific one can be identified as the best.

关键词： accuracy criterion accuracy value machine learning technique maintainability prediction

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Deposition of Phosphate Nanoparticles onto Textile Fabrics via Sol-gel Method and Their Kinetics Desorption Studies

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Chemical Research in Chinese Universities 2020年第5期36卷 877-884页

作者： Mohamed El MESSOUDI Aicha BOUKHRISS laila SADALLAH laila SAJID M'hamed El KOUALI Said GMOUH Laboratory REMTEX ESITHHigher School of Textile and Clothing Industties(ESITH)Kni8Route d'EL JADIDACasablancaMorocco Laboratory LIN1AT Faculty of Sciences Ben M'SikHassan II University of CasablancaB.P 5366 KiaarifCasablancaMorocco Laboratory LCAPCM Faculty of Sciences Ben M'SikHassan II Universityof CasablancaB.P 5366 MaarifCasablancaMorocco Laboratory L3GIE Mohamntadia School of EngineersMohammad V UniversityBP.765 Av.Ibn SinaAgdalRabatMorocco Laboratory LEC Higher School of Textile and Clothing Industries(ESITH)Km 8Route d'EL JADIDACasablancaMorocco

In this paper,phosphate nanoparticles were coated on cotton(CO)and polyester(PES)textile surfaces by sol-gel method using tetraethylorthosilicate(TEOS)and chloropropyltriethoxysilane(CPTS)as silica *** deposited nanoparticles were observed with scanning electronic microscopy energv-dispersive X-ray spectroscopy(SEM-EDX).The release kinetics of phosphorus(P)from these textiles into the aqueous medium(Aq),acid(Ac),and basic(Ba)artificial sweats were then *** released amount of phosphorus was evaluated by the inductively coupled plasma(ICP)according to ISO NF EN 16711-2 *** results revealed that the release of P into the aqueous medium is lower than in the artificial *** kinetics data[the phosphoras desorption amount(mg/g)as a iunction of time]were modeled according to five models:the first order,the second order,the third order,simple Elovich and parabolic *** suitable model was chosen based on the coefficient of determination(R2)and the calculation of the sum of the absolute errors(EABS),which describes the error between the theoretical and experimental *** observations were also carried out on the fabrics after desorption in order to show the impact of desorption on their ***,the impact of P release on the tensile strength of CO and PES fabrics was investigated using a uniaxial tensile *** thennal stability of all samples before and after desorption was assessed by thermogravimetric aiialysis(ATG).

关键词： Sol-gel Coating Kinetic Desorption Phospliate nanoparticle

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Probe Attack Detection Using an Improved Intrusion Detection System

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Computers, Materials & Continua 2023年第3期74卷 4769-4784页

作者： Abdulaziz Almazyad laila Halman Alaa Alsaeed Department of Computer Engineering College of Computer ScienceKing Saud UniversityRiyadh11421Saudi Arabia

The novel SoftwareDefined Networking(SDN)architecture potentially resolves specific challenges arising from rapid internet growth of and the static nature of conventional networks to manage organizational business requirements with distinctive ***,such benefits lead to a more adverse environment entailing network breakdown,systems paralysis,and online banking fraudulence and *** one of the most common and dangerous threats in SDN,probe attack occurs when the attacker scans SDN devices to collect the necessary knowledge on system susceptibilities,which is thenmanipulated to undermine the entire ***,high performance,and real-time systems prove pivotal in successful goal attainment through feature selection to minimize computation time,optimize prediction performance,and provide a holistic understanding of machine learning *** the extension of astute machine learning algorithms into an Intrusion Detection System(IDS)through SDN has garnered much scholarly attention within the past decade,this study recommended an effective IDS under the Grey-wolf optimizer(GWO)and Light Gradient Boosting Machine(Light-GBM)classifier for probe attack *** InSDN dataset was employed to train and test the proposed IDS,which is deemed to be a novel benchmarking dataset in *** proposed IDS assessment demonstrated an optimized performance against that of peer IDSs in probe attack detection within *** results revealed that the proposed IDS outperforms the state-of-the-art IDSs,as it achieved 99.8%accuracy,99.7%recall,99.99%precision,and 99.8%F-measure.

关键词： GWO IDS InSDN LightGBM probe attack SDN

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LCO flutter of cantilevered woven glass/epoxy laminate in subsonic flow

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Acta Mechanica Sinica 2008年第1期24卷 107-110页

作者： Dayang laila Abang Haji Abdul Majid ShahNor Basri Department of Aerospace Engineering Faculty of Engineering Universiti Putra Malaysia. 43400 UPM Serdang Selangor Darul Ehsan Malaysia

The paper presents a cantilevered composite wing, aeroelastic characteristics of idealized as a composite flat plate laminate. The composite laminate was made from woven glass fibers with epoxy matrix. The elastic and dynamic properties of the laminate were determined experimentally for aeroelastic calculations. Aeroelastic wind tunnel testing of the laminate was performed and the result showed that flutter, a dynamic instability occurred. The cantilevered laminate also displayed limit cycle amplitude, post-flutter oscillation. The experimental flutter velocity and frequency were verified by our computational analysis.

关键词： Limit cycle oscillation Flutter Laminate

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Correlates of age at first birth among the slum dwellers in Sylhet,Bangladesh

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Chinese Journal of Population,Resources and Environment 2016年第1期16卷 53-57页

作者： laila Ashrafun Department of Sociology Shahjalal University of Science & Technology

The first birth marks a transition of a woman into *** contributes substantially to overall fertility of each individual *** age at which childbearing begins influences the number of children a woman bears throughout her whole reproductive life ***,the mother's age at first birth influences the total number of births that she might have in her life,which impacts the size,composition,and future growth of the ***-bearing at very young ages is common among the poor in *** objective of the present study is to examine the factors associated with age at first birth among slum dwellers of five selected slums(locally,colony) in Sylhet city corporation area,*** data of this study was collected from 520 women aged 14-50 *** study found that almost 93%of women were married by the ages of 18 years and about 56%of the women have had their first child by the age of 18 *** Ordinary Least Squares(OLS) regression model was used to analyze the factors correlated with women's age at first *** regression model is significant with an F-value of 49.48 and can explain 40.4%of the variation in the dependent variable as it is indicated by the R-square.

关键词： Age Bangladesh first birth slum

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A hybrid particle swarm optimization algorithm for the capacitated location routing problem

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International Journal of Intelligent Computing and Cybernetics 2018年第1期11卷 106-120页

作者： laila Kechmane Benayad Nsiri Azeddine Baalal Department of Mathematics and Computing Hassan II UniversityCasablancaMorocco

Purpose–The purpose of this paper is to solve the capacitated location routing problem(CLRP),which is an NP-hard problem that involves making strategic decisions as well as tactical and operational decisions,using a hybrid particle swarm optimization(PSO)***/methodology/approach–PSO,which is a population-based metaheuristic,is combined with a variable neighborhood strategy variable neighborhood search to solve the ***–The algorithm is tested on a set of instances available in the literature and gave good quality solutions,results are compared to those obtained by other metaheuristic,evolutionary and PSO ***/value–Local search is a time consuming phase in hybrid PSO algorithms,a set of neighborhood structures suitable for the solution representation used in the PSO algorithm is proposed in the VNS phase,moves are applied directly to particles,a clear decoding method is adopted to evaluate a particle(solution)and there is no need to re-encode solutions in the form of particles after applying local search.

关键词： Particle swarm optimization Variable neighbourhood search Capacitated location routing problem

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Possible ameliorative effect of breastfeeding and the uptake of human colostrum against coeliac disease in autistic rats

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World Journal of Gastroenterology 2013年第21期19卷 3281-3290页

作者： Manar E Selim laila Y Al-Ayadhi Zoology Department Faculty of ScienceKing Saud UniversityAutism Research and Treatment CentreRiyadh 11459 Saudi Arabia Zoology Department Faculty of ScienceAin Shams UniversityCairo 11511Egypt Physiology Department Faculty of MedicineKing Saud UniversityAutism Research and Treatment CentreRiyadh 11459Saudi Arabia

AIM: To examine the possible ameliorative effect of breastfeeding and the uptake of human colostrum against coeliac disease in autistic rats. METHODS: Female rats were fed a standard diet and received a single intraperitoneal injection of 600 mg/kg sodium valproate on day 12.5 after conception. In study 1, neonatal rats were randomly subjected to blood tests to investigate autism. In study 2, the 1st group was fed by the mother after an injection of interferon-γ (IFN-γ) and administration of gliadin. The pups in the 2nd group were prevented from accessing maternal milk, injected IFN-γ, administered gliadin, and hand-fed human colostrum. The normal littermates fed by the table mothers were injected with physiological saline and served as normal controls in this ***: The protein concentration was higher in group 2 than in group 1 in the duodenum (161.6 ± 9 and 135.4 ± 7 mg/g of tissue, respectively, P < 0.01). A significant increase (P < 0.001) in body weight was detected in human colostrum-treated pups on post natal day (PND) 7 and 21 vs suckling pups in group 1. A delay in eye opening was noticed in the treated rats in group 1 on PND 13 compared with the control group and group 2. Administration of a single intraperitoneal injection of 600 mg/kg sodium valproate on day 12.5 after conception resulted in significantly reduced calcium and vitamin D levels in study 1 compared with the control groups (P < 0.001). However, human colostrum uptake inhibited increases in the level of transglutaminase antibody in autistic pups with coeliac disease. CONCLUSION: The effects of early-life nutrition and human colostrum on the functional maturation of the duodenal villi in autistic rats with coeliac disease that might limit or prevent the coeliac risk with autism.

关键词： Autism Breastfeeding Coeliac disease Human colostrum

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Hybrid Deep Learning Based Attack Detection for Imbalanced Data Classification

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Intelligent Automation & Soft Computing 2023年第1期35卷 297-320页

作者： Rasha Almarshdi laila Nassef Etimad Fadel Nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computer Science and EngineeringUniversity of HailHailSaudi Arabia

Internet of Things(IoT)is the most widespread and fastest growing technology *** to the increasing of IoT devices connected to the Internet,the IoT is the most technology under security *** IoT devices are not designed with security because they are resource constrained ***,having an accurate IoT security system to detect security attacks is *** Detection Systems(IDSs)using machine learning and deep learning techniques can detect security attacks *** paper develops an IDS architecture based on Convolutional Neural Network(CNN)and Long Short-Term Memory(LSTM)deep learning *** implement our model on the UNSW-NB15 dataset which is a new network intrusion dataset that cate-gorizes the network traffic into normal and attacks *** this work,interpolation data preprocessing is used to compute the missing ***,the imbalanced data problem is solved using a synthetic data generation *** experiments have been implemented to compare the performance results of the proposed model(CNN+LSTM)with a basic model(CNN only)using both balanced and imbalanced ***,with some state-of-the-art machine learning classifiers(Decision Tree(DT)and Random Forest(RF))using both balanced and imbalanced *** results proved the impact of the balancing *** proposed hybrid model with the balance technique can classify the traffic into normal class and attack class with reasonable accuracy(92.10%)compared with the basic CNN model(89.90%)and the machine learning(DT 88.57%and RF 90.85%)***,comparing the proposed model results with the most related works shows that the proposed model gives good results compared with the related works that used the balance techniques.

关键词： IoT IDS deep learning machine learning CNN LSTM

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