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Intelligent Solution System for Cloud Security Based on Equity Distribution:Model and algorithms

Computers, Materials & Continua 2024年第1期78卷 1461-1479页

作者： Sarah Mustafa Eljack Mahdi Jemmali Mohsen Denden Mutasim al Sadig Abdullah M.algashami Sadok Turki Department of Computer Science and Information College of Science at ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Computing and InformaticsUniversity of SharjahSharjahUnited Arab Emirates Higher Institute of Computer Science and Mathematics University of MonastirMonastir5000Tunisia Mars Laboratory University of SousseSousseTunisia Department of Logistic and Maintenance UFR MIM at MetzUniversity of LorraineMetzFrance Department of Computer and Information Technologies College of Telecommunicationand Information Riyadh CTITechnical and Vocational Training Corporation TVTCRiyadh12464Saudi Arabia Department of Computer Science Higher Institute of Applied Sciences of SousseSousse UniversitySousse4000Tunisia

In the cloud environment,ensuring a high level of data security is in high *** planning storage optimization is part of the whole security process in the cloud *** enables data security by avoiding the risk of data loss and data *** development of data flow scheduling approaches in the cloud environment taking security parameters into account is *** our work,we propose a data scheduling model for the cloud *** is made up of three parts that together help dispatch user data flow to the appropriate *** first component is the Collector Agent whichmust periodically collect information on the state of the network *** second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the *** third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable *** should be noted that each part of the proposedmodel requires the development of its *** this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link *** algorithms are based on the grouping of transmitted files and the iterative *** proposed algorithms showthe performances to obtain an approx.mate solution to the studied problem which is an NP-hard(Non-Polynomial solution)*** ex.erimental results show that the best algorithm is the half-grouped minimum ex.luding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an ex.cution time of 0.001 s.

关键词： Cyber-security cloud computing cloud security algorithms heuristics

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Controlling Congestion in al-Seeb Highway Using Ramp Metering (Case Study)

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Journal of Transportation Technologies 2024年第3期14卷 308-335页

作者： Zahra al Habsi Mohamed al Qanaii College of Engineering National University Muscat Oman

This paper represents a case study of traffic congestion within a section on al Seeb Street highway due to the on-ramp merging of vehicles that causes a bottleneck in the mainline road. It studies the efficiency of installing ramp metering within a ramp within the selected study zone. This is done by simulating the collected data using Vissim software by drawing three one-hour-long scenarios;the first scenario reflects the data collected for 30 minutes duration and is used as a base scenario to draw the other two scenarios, which are reflected as factored-up scenarios to create a situation observed in the early morning in the study zone at 6:00-7:00 in which slowing down of speeds ex.st, and breakdown is raised in working days. The two factoring-up scenarios were as follows: one without ramp metering and the other without ramp metering. Each scenario was calibrated and run five times with random seeds, and then the average was considered. The simulation ex.mines the ability of RM to smooth traffic in mainline and reduce queuing on on-ramp roads within the selected study zone by comparing the performance of the network for the scenarios and comparing them in terms of the overall delays, number of stops and the average speeds for the vehicles within the mainline. The results showed a good performance reflected by the scenario with ramp metering with a reduction of the overall delay, a decrease in stops number and an increase of the average speed were achieved. For the base scenario, a visualization (video ex.racted from Vissim software) was ex.racted, showing no need to install RM with an associated table showing a number of stops equal to zero with an average speed of 102.74 km/h and a total delay of 6045 seconds. For the second scenario with no RM, a visualization was ex.racted showing a slowing down of speeds for vehicles within the mainline while vehicles merging from the on-ramp and need to be controlled with a table showing a number of stops equal to 16 and an a

关键词： On-Ramp Merge Ramp-Metering Vissim Simulation

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Stock appraisal for Atlantic tripletail(Lobotes surinamensis;Bloch,1790)in the Bay of Bengal,Bangladesh

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Journal of Oceanology and Limnology 2024年第5期42卷 1683-1694页

作者： Suman BARUA Qun LIU Ahmed Fazley RABBY MdAbdullah al-MAMUN x. CHEN Rokeya SULTANA Aidah BalOCH College of Fisheries Ocean University of ChinaQingdao 266003China Department of Fisheries Ministry of Fisheries and LivestockDhaka 1215Bangladesh Bangladesh Fisheries Research Institute Cox’s Bazar 4700Bangladesh Directorate of Secondary and Higher Education Ministry of EducationDhaka 1000Bangladesh Gwadar Development Authority Gwadar 91200Pakistan

The Atlantic tripletail(Lobotes surinamensis)is a high revenue-generating fish species predominantly caught by mechanized artisanal fishers community and the most available member of its family in *** is a ground work of fish stock assessment study in the Bay of Bengal region to ex.lore the life history parameters and associated biomass of this species,using three length-based approaches of TropFishR,the length-based Bayesian biomass estimation(LBB),and Froese’s length based indicators(LBIs).An almost homogenous body growth pattern(b=3.07;R^(2)=0.98)was observed in the length-weight relationship of *** life history parameters for tripletail,as determined by the von Bertalanffy Growth Function(VBGF)model,were L_(∞)=113.36 cm and k=0.51/*** length converted catch curve(LCCC)yielded an estimation of the total mortality(Z=1.77/a),with the natural mortality estimated at(M=0.53/a)and the fishing mortality estimated at(F=1.24/a).But,the ratio of mortality(F/M=0.15)by LBB captured the non-fully ex.loited status of biomass(B/B_(MSY)=2.1).LBI analysis indicated that the tripletail fishery’s spawning stock biomass is greater than the target and limit reference points,indicating a healthy state of biomass.

关键词： Bay of Bengal Lobotes surinamensis TropFishR length based indicator(LBI) length-based Bayesian biomass estimation(LBB) Bangladesh

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Posture Detection of Heart Disease Using Multi-Head Attention Vision Hybrid(MHAVH)Model

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Computers, Materials & Continua 2024年第5期79卷 2673-2696页

作者： Hina Naz Zuping Zhang Mohammed al-Habib Fuad A.Awwad Emad A.A.Ismail Zaid ali Khan School of Computer Science and Engineering Central South UniversityChangsha410003China Department of Quantitative analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia Electrical and Computer Engineering University of VictoriaVictoriaV9A1B8Canada

Cardiovascular disease is the leading cause of death *** disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as ***,minimizing the death ratio can be achieved by early detection of heart attack(HA)*** the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four ***,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives *** objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their *** address these challenges,we employ deep learning *** have utilized a vision transformer(ViT)to address this ***,it has a significant overhead cost due to its memory consumption and computational complex.ty because of scaling dot-product ***,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more *** response,we propose a three-in-one steam model,theMulti-Head Attention Vision Hybrid(MHAVH).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature ex.raction *** incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack *** the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original dat

关键词： Image analysis posture of heart attack(PHA)detection hybrid features VGG-16 ResNet-50 vision transformer advance multi-head attention layer

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A Hybrid Classification and Identification of Pneumonia Using African Buffalo Optimization and CNN from Chest x.Ray Images

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2497-2517页

作者： Nasser alalwan Ahmed I.Taloba Amr Abozeid Ahmed Ibrahim alzahrani ali H.al-Bayatti Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Information System Department Faculty of Computers and InformationAssiut UniversityAssiutEgypt Mathematics Department Faculty of ScienceAl-Azhar UniversityCairoEgypt Cyber Technology Institute(CTI) De Montfort UniversityLeicesterUK

An illness known as pneumonia causes inflammation in the *** there is so much information available fromvarious x.ray images,diagnosing pneumonia has typically proven *** improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been *** date,several methods have been employed to identify *** Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and ***,these methods are complex.inefficient,and imprecise to analyze a big number of *** this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest x.ray images is *** proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and *** Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest x.ray images,followed by feature ex.raction using the Grey Level Co-Occurrence Matrix.GLCM)*** features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of *** results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification *** proposed method ex.ibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.

关键词： African buffalo optimization convolutional neural network pneumonia x.ray

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Ex.ernal defects and severity level evaluation of potato using single and multispectral imaging in near infrared region Author links open overlay panel

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Information Processing in Agriculture 2024年第1期11卷 80-90页

作者： Dimas Firmanda al Riza Slamet Widodo Kazuya Yamamoto Kazunori Ninomiya Tetsuhito Suzuki Yuichi Ogawa Naoshi Kondo Laboratory of Biosensing Engineering Graduate School of AgricultureKyoto UniversityKitashirakawaKyoto 6068267Japan Department of Biosystems Engineering Faculty of Agricultural TechnologyUniversitas BrawijayaJl.VeteranMalang 65145Indonesia Department of Mechanical and Biosystem Engineering Bogor Agricultural UniversityJl.Raya Darmaga Kampus IPB DarmagaBogor 16680Indonesia Technology Development Department Shibuya Seiki Co.Ltd.66Takaoka-choMatsuyamaEhime 7918036Japan

Non-invasive potato defects detection has been demanded for sorting and grading *** on the classification of the defects has been available,however,investigation on the severity level calculation is *** the detection of the common scab,it has been found that imaging in the infrared region provide an interesting characteristic that could distinguish defected area to normal ***,investigations on this wavelength range is interesting to add more knowledge and for *** this research,the multispectral image has been obtained and investigated especially at three wavelengths(950,1150,1600 nm).Image pre-processing and pseudo-color conversion techniques were ex.lored to enhance the contrast between defects,normal background skin area and soil *** show that ex.ernal defects,such as common scab and some mechanical damage types,appear brighter in the near infrared region,especially at 1600 nm against the normal skin *** has been found that pseudo-color images conversion provides more information regarding type if surface characteristics compared to grayscale single *** segmentation using pseudo-color images after multiplication operation pre-processing could be used for common scab and mechanical damage detection ex.luding soil deposits with a Dice Sorensen coefficient of *** addition,image segmentation using single image at 1600 nm shown relatively better results with Dice Sorensen coefficient of 0.72 with note that thick soil deposits will also be *** severity level evaluation had an R2 correlation of 0.84 against standard measurements of severity.

关键词： Multispectral imaging Pseudo-color Common scab Ex.ernal defects Near infrared

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A contrasting analysis of CO_(2) and N_(2) foam flood for enhanced oil recovery and geological storage of CO_(2)

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Petroleum Research 2024年第1期9卷 55-60页

作者： alireza Roozbahani Farshad Soofivan ali Sagban Hassoon al-Tameemi Hadi Abdollahi Sogand Saatchi Abdolhamid Ansari Petroleum Engineering Department Faculty of Chemical EngineeringTarbiat Modares UniversityTehranIran School of Chemical and Petroleum Engineering Shiraz UniversityShirazIran School of Chemical and Petroleum Engineering Shiraz BranchIslamic Azad UniversityShirazIran Department of Petroleum Engineering Science and Research BranchAzad UniversityTehranIran Department of Chemistry and Chemical Engineering Rasht BranchIslamic Azad UniversityRashtIran Department of Petroleum Engineering Lamerd BranchIslamic Azad UniversityLamerdIran

Foam flooding using CO_(2)has emerged as a promising method for both enhanced oil recovery(EOR)and the storage of CO_(2)in geological *** study conducts a thorough analysis of the behavior of CO_(2)and N_(2)foams in bulk and porous media,utilizing bubble-scale analyses and foam flooding *** study compares the foamability and longevity of CO_(2)and N_(2)foams,with findings indicating that N_(2)foam bubbles tend to be smaller and less varied in size than CO_(2)foam bubbles,leading to increased foam ***,the study compares the half-lives of CO_(2)and N_(2)foams generated through sparging and winding methods,showing that N_(2)foam has half-lives 22 and 10 times greater than CO_(2)foam when produced using the sparging and winding methods,***,CO_(2)foam generated through the sparging method had a lower foaming volume than N_(2)foam due to CO_(2)'s *** the foam flooding ex.eriments,N_(2)foam proved more effective in recovering oil from porous media than CO_(2)foam,thus demonstrating the effectiveness of the foam injection *** results offer valuable insights into the differing performance of N_(2)and CO_(2)foam floods for EOR and CO_(2)geological storage.

关键词： CO_(2) storage Foam flood Enhanced oil recovery N_(2) foam CO_(2) foam

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Numerical Analysis of Bacterial Meningitis Stochastic Delayed Epidemic Model through Computational Methods

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 311-329页

作者： Umar Shafique Mohamed Mahyoub al-Shamiri ali Raza Emad Fadhal Muhammad Rafiq Nauman Ahmed Department of Mathematics National College of Business Administration and EconomicsLahore54660Pakistan Department of Mathematics Applied CollegeMahayl AssirKing Khalid UniversityAbha62529Saudi Arabia Department of Physical Sciences The University of ChenabGujrat50700Pakistan Department of Mathematics&Statistics College of ScienceKing Faisal UniversityP.O.Box 400Al-Ahsa31982Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut1102-2801Lebanon Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Mathematics and Statistics University of LahoreLahore54000Pakistan

Based on theWorld Health Organization(WHO),Meningitis is a severe infection of the meninges,the membranes covering the brain and spinal *** is a devastating disease and remains a significant public health *** study investigates a bacterial meningitis model through deterministic and stochastic ***-compartment population dynamics ex.lain the concept,particularly the susceptible population,carrier,infected,and *** model predicts the nonnegative equilibrium points and reproduction number,i.e.,the Meningitis-Free Equilibrium(MFE),and Meningitis-Ex.sting Equilibrium(MEE).For the stochastic version of the ex.sting deterministicmodel,the twomethodologies studied are transition probabilities and non-parametric ***,positivity,boundedness,ex.inction,and disease persistence are studiedrigorouslywiththe helpofwell-known *** and nonstandard techniques such as EulerMaruyama,stochastic Euler,stochastic Runge Kutta,and stochastic nonstandard finite difference in the sense of delay have been presented for computational analysis of the stochastic ***,standard methods fail to restore the biological properties of the model,so the stochastic nonstandard finite difference approx.mation is offered as an efficient,low-cost,and independent of time step *** addition,the convergence,local,and global stability around the equilibria of the nonstandard computational method is studied by assuming the perturbation effect is *** simulations and comparison of the methods are presented to support the theoretical results and for the best visualization of results.

关键词： Bacterial Meningitis disease stochastic delayed model stability analysis ex.inction and persistence computational methods

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Aminated Cyclopropylmethylphosphonates as Potent Prostate Cancer Inhibitors

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Journal of Biosciences and Medicines 2024年第7期12卷 239-244页

作者： Abed al Aziz al Quntar Ibrahim Abasy Department of Chemistry and Chemical Technology Faculty of Science and Technology Al-Quds University Jerusalem Palestine Department of Microbiology and Immunology Al-Quds University Jerusalem Palestine

Inspired by the anti-pancreatic promising results of our novel aminated cyclopropylmethylphosphonate compounds, an in vitro anti-prostate cancer activity ex.loration of these compounds was carried out on human prostate cancer cell line PC-3, and showed potent inhibiting activity at low micromolar concentrations (with an IC50 of approx.mately 45 μM).

关键词： Prostate Cancer Cancer Cyclopropylphophonates Aminophosphonates Cyclopropanes Phosphonates alkynylphosphonates Anti-Cancer Prostate

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COmbination of Targeted temperature management and Thrombectomy after acute Ischemic Stroke(COTTIS):a pilot study

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Stroke & Vascular Neurology 2024年第3期9卷 258-267页

作者： Jürgen Bardutzky Rainer Kollmar Forat al-Rawi Johann Lambeck Mohammad Fazel Christian Taschner Wolf-Dirk Niesen Department of Neurology and Neurophysiology Medical Center-University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany Neurology and Neurointensive Care Darmstadt HospitalDarmstadtGermany BrainCool AB LundSweden Department of Neuroradiology Medical Center-University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany

Background To evaluate the feasibility and safety of a fast initiation of cooling to a target temperature of 35℃by means of transnasal cooling in patients with anterior circulation large vessel occlusion(LVO)undergoing endovascular thrombectomy(EVT).Methods Patients with an LVO onset ofal target temperature of 35℃was *** was maintained with surface cooling for 6-hour postrecanalisation,followed by active rewarming(+0.2℃/hour).The primary outcome was defined as the time required to reach 35℃,while secondary outcomes comprised clinical,radiological and safety *** Twenty-two patients(median age,77 years)were included in the study(14 received additional thrombolysis,4 additional stenting of the prox.mal internal carotid artery).The median time intervals were 309min for last-seen-normal-to-groin,58min for door-to-cooling-initiation,65min for door-to-groin and 123min for *** target temperature of 35℃was reached within 30min(range 13–78min),corresponding to a cooling rate of 2.6℃/*** recanalisation,86%of the patients had a body temperature of≤35℃.The median National Institutes of Health Stroke Scale at admission was 15 and improved to 2 by day 7,and 68%of patients had a good outcome(modified Rankin Scale 0–2)at 3 *** complications included asymptomatic bradycardia(32%),pneumonia(18%)and asymptomatic haemorrhagic transformation(18%).Conclusion The combined application of hypothermia and thrombectomy was found to be feasible in sedated and ventilated *** events were comparable to those previously described for EVT in the absence of *** effect of this procedure will nex. be evaluated in the randomised COmbination of Targeted temperature management and Thrombectomy after acute Ischemic Stro

关键词： maintained continued initiated

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