检索结果-南通市图书馆

Contrast Normalization Strategies in Brain Tumor Imaging:From Preprocessing to Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第8期140卷 1539-1562页

作者： Samar M.Alqhtani Toufique A.Soomro Faisal bin Ubaid ahmed Ali muhammad Irfan Abdullah A.Asiri Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Electronic Engineering The University of LarkanoLarkanaSindh75660Pakistan Computer Science Department Sukkur IBA UniversitySukkurSindh65200Pakistan Eletrical Engineering Department Sukkur IBA UniversitySukkurSindh65200Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia

Cancer-related to the nervous system and brain tumors is a leading cause of mortality in various *** resonance imaging(MRI)and computed tomography(CT)are utilized to capture brain *** plays a crucial role in the diagnosis of brain tumors and the examination of other brain ***,manual assessment of MRI images by radiologists or experts is performed to identify brain tumors and abnormalities in the early stages for timely ***,early diagnosis of brain tumors is intricate,necessitating the use of computerized *** research introduces an innovative approach for the automated segmentation of brain tumors and a framework for classifying different regions of brain *** proposed methods consist of a pipeline with several stages:preprocessing of brain images with noise removal based on Wiener Filtering,enhancing the brain using Principal Component Analysis(PCA)to obtain well-enhanced images,and then segmenting the region of interest using the Fuzzy C-Means(FCM)clustering technique in the third *** final step involves classification using the Support Vector Machine(SVM)*** classifier is applied to various types of brain tumors,such as meningioma and pituitary tumors,utilizing the Contrast-Enhanced Magnetic Resonance Imaging(CE-MRI)*** proposed method demonstrates significantly improved contrast and validates the effectiveness of the classification framework,achieving an average sensitivity of 0.974,specificity of 0.976,accuracy of 0.979,and a Dice Score(DSC)of ***,this method exhibits a shorter processing time of 0.44 s compared to existing *** performance of this method emphasizes its significance when compared to state-of-the-art methods in terms of sensitivity,specificity,accuracy,and *** enhance the method further in the future,it is feasible to standardize the approach by incorporating a set of classifiers to increase the robustness of the brain classi

关键词： Brain tumor magnetic resonance imaging principal component analysis fuzzy c-clustering support vector machine

Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not:A systematic review and meta-analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Methodology 2024年第3期14卷 141-162页

作者： Kinza Iqbal Akshat Banga Taha bin Arif Sawai Singh Rathore Abhishek Bhurwal Syeda Kisa Batool Naqvi muhammad Mehdi Pankaj Kumar Mitali Madhu Salklan Ayman Iqbal Jawad ahmed Nikhil Sharma Amos Lal Rahul Kashyap Vikas Bansal Juan Pablo Domecq Department of Internal Medicine Dow Medical CollegeKarachi 74200Pakistan Department of Internal Medicine Sawai Man Singh Medical CollegeJaipur 302004India Department of Internal Medicine Dr.Sampurnanand Medical CollegeJodhpur 342003RajasthanIndia Department of Gastroenterology and Hepatology Rutgers Robert Wood Johnson School of MedicineNew BrunswickNJ 08901United States Department of Internal Medicine Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia Department of Nephrology and Hypertension Mayo ClinicRochesterMN 55905United States Department of Medicine Division of Pulmonary and Critical Care MedicineMayo ClinicRochesterMN 55905United States Department of Research Wellspan HealthYorkPA 17403United States

BACKGROUND Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019(COVID-19)*** is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 *** To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 *** A Literature search was performed on LitCovid PubMed,WHO,and Scopus databases from inception(December 2019)till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with *** primary outcome was the risk of thromboembolic events in COVID-19 patients taking *** outcomes included COVID-19 disease severity,in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection,and *** random effects models were used to calculate crude and adjusted odds ratios(aORs)with 95%confidence intervals(95%CIs).RESULTS Forty-six observational studies met our inclusion *** unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk[n=43851,9 studies,odds ratio(OR)=0.67(0.22,2.07);P=0.49;I2=95%].The association between prior anticoagulation and disease severity was non-significant[n=186782;22 studies,OR=1.08(0.78,1.49);P=0.64;I2=89%].However,pre-hospital anticoagulation significantly increased all-cause mortality risk[n=207292;35 studies,OR=1.72(1.37,2.17);P<0.00001;I2=93%].Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk[aOR=0.87(0.42,1.80);P=0.71],mortality[aOR=0.94(0.84,1.05);P=0.31],and disease severity[aOR=0.96(0.72,1.26);P=0.76].CONCLUSION Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events,improved survival,and lower disease seve

关键词： Prior anticoagulation COVID-19 Prehospital anticoagulation Chronic anticoagulation Mortality Severity Thromboembolic events

Is Ziarat a Potential Site for Conventional or Unconventional Energy Resources?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Geologica Sinica(English Edition) 2018年第4期92卷 1544-1557页

作者： Sarfraz KHAN Umair bin NISAR Khawar A.ahmed muhammad WASEEM Waqas ahmed National Centre of Excellence in Geology University of PeshawarPeshawar25130Pakistan Comsats Institute of Information and Technology AbbottabadPakistan Comsats Institute of Information and Technology IslamabadPakistan

A structural interpretation of the Ziarat block in the Balochistan region （a part of the Suleiman Fold and Thrust Belt） has been carried out using seismic and seismological data. Seismic data consists of nine 2.5D pre-stack migrated seismic lines, whereas the seismological data covers the Fault Plane Solution and source parameters. Structural interpretation describes two broad fault sets of fore and back thrusts in the study area that have resulted in the development of pop-up structures, accountable for the structural traps and seismicity pattern in terms of seismic hazard. Seismic interpretation includes time and depth contour maps of the Dungan Formation and Ranikot group, while seismological interpretation includes Fault Plane Solution, that is correlated with a geological and structural map of the area for the interpretation of the nature of the subsurface faults. Principal stresses are also estimated for the Ranikot group and Dungan Formation. In order to calculate anisotropic elastic properties, the parameters of the rock strength of the formations are first determined from seismic data, along with the dominant stresses （vertical, minimum horizontal, and maximum horizontal）. The differential ratio of the maximum and minimum horizontal stresses is obtained to indicate optimal zones for hydraulic fracturing, and to assess the potential for geothermal energy reservoir prospect generation. The stress maps indicate high values towards the deeper part of the horizon, and low towards the shallower part, attributed to the lithological and structural variation in the area. Outcomes of structural interpretation indicate a good correlation of structure and tectonics from both seismological and seismic methods.

关键词： fault plane solution reservoir monitoring stress analysis hydraulic fracturing geothermal energy structural interpretation

Magnitude,direction,and drivers of rhizosphere effect on soil nitrogen and phosphorus in global agroecosystem

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

International Soil and Water Conservation Research 2023年第3期11卷 482-493页

作者： Andong Cai Shengnan Tang muhammad ahmed Waqas bin Wang Di Tian Yang Zhang Yu'e Li muhammad Nadeem Ashraf Tianjing Ren Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural SciencesBeijing100081China The Key Laboratory for Slviculture and Conervation of Ministry of Education College of ForestryBeijing Forestry UniversityBeijing100083China Department of Agroecology Aarhus UniversityBlichers Alle 20PO BOX 50DK-8830 TjeleDenmark Institute of Soil and Environmental Sciences University of Agriculture Faisalabad38000Pakistan Institute of Soil Science and Plant Cultivation State Research InstituteDepartment of Soil Science Erosion and Land ConservationCzartoryskich St.824-100PutawyPoland

The rhizosphere is the most active soil area for material transformation and energy flow of soil,root,and microorganism,which plays an important role in soil biochemical *** the rhizospheric nitrogen(N)and phosphorous(P)were easily disturbed in the agroecosystem,the effects of rhizosphere on the dynamics of soil N and P cycling have not yet been systematically quantified *** summarized the magnitude,direction,and driving forces of rhizosphere effects on agroecosystem's N and P dynamics by 1063 observations and 15 variables from 122 *** effects increased available N(AN,9%),available P(AP,11%),and total P(TP,5%),and decreased nitrate N(NO_(3)-N,18%)and ammonia N(NH_(4)-N,16%).The effect of rhizosphere on total N(TN)was not *** effects improved AN in tropical(12%)and subtropical(14%)*** effect of rhizosphere on TP was greater under subtropical conditions than in other *** most substantial effects of the rhizosphere on TP and AP were observed under humid *** effects increased AN and AP in vegetables more than in other crop *** of N>30o kg ha^(-1) had the most significant and positive rhizosphere effects on TN and AN.P application of 100-150 kg ha^(-1) had the greatest rhizosphere effects on TP and *** effects also improved the microbial(biomass N and P)and enzymatic aspects(urease,acid phosphatase,and alkaline phosphatase)of soil P and N *** equation modeling suggested that aridity indices,fertilizer application rate,soil pH,microbial biomass,and soil enzymes strongly influence the magnitude and direction of the rhizosphere's effect on the P and N ***,these findings are critical for improving soil nutrient utilization efficiency and modeling nutrient cycling in the rhizosphereforagricultural systems.

关键词： Rhizosphere effect Agriculture systems Nitrogen cycling Phosphorus cycling Climate Microbial biomass Soil enzymes

A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： muhammad Naeem Akbar Farhan Riaz ahmed Bilal Awan muhammad Attique Khan Usman Tariq Saad Rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition

Design of Computer Methods for the Solution of Cervical Cancer Epidemic Model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 1649-1666页

作者： Ali Raza muhammad Rafiq Dalal Alrowaili Nauman ahmed Ilyas Khan Kottakkaran Sooppy Nisar muhammad Mohsin Department of Mathematics National College of Business Administration and Economics LahorePakistan Department of Mathematics Faculty of SciencesUniversity of Central PunjabLahore54500Pakistan Mathematics Department College of ScienceJouf UniversityP.O.Box:2014SakakaSaudi Arabia Department of Mathematics and Statistics The University of LahoreLahorePakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam bin Abdulaziz UniversityAlkharj11991Kingdom of Saudi Arabia Department of Mathematics Technische Universitat ChemnitzGermany

Nonlinear modelling has a significant role in different disciplines of sciences such as behavioral,social,physical and biological *** structural properties are also needed for such types of disciplines,as dynamical consistency,positivity and boundedness are the major requirements of the models in these *** more thing,this type of nonlinear model has no explicit *** the sake of comparison its computation will be done by using different computational ***,the aforementioned structural properties have not been restored in the existing computational techniques in ***,the construction of structural preserving computational techniques are *** nonlinearmodel for cervical cancer is constructed by parametric perturbation ***-known computer methods are considered for the computation of cervical cancer *** well-known existing methods in literature are Euler Maruyama,Euler and Runge *** finite difference method or Implicitly driven explicit method is first time considered for aforesaid model under the assumptions given byMickens in a stochastic ***,the aforementioned existing methods did not reinstate structural properties of cervical cancer dynamics in the human *** plannedmethod is structural preserving and a powerful tool for all nonlinear models of biomedical engineering *** have verified that existing computational methods do not preserve dynamical ***,the implicitly driven explicit method is a good device for dynamical *** the support of assertions,convergence analysis of implicitly driven explicit method is presented.

关键词： Cervical cancer model differential equations computer methods convergence analysis

Profiling of seed fatty acid composition in 1025 Chinese soybean accessions from diverse ecoregions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Crop Journal 2020年第4期8卷 635-644页

作者： ahmed M.Abdelghany Shengrui Zhang muhammad Azam Abdulwahab S.Shaibu Yue Feng Yanfei Li Yu Tian Huilong Hong bin Li Junming Sun The National Engineering Laboratory for Crop Molecular Breeding MARA Key Laboratory of Soybean Biology(Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Crop Science Department Faculty of AgricultureDamanhour UniversityDamanhour 22516Egypt

The stability of soybean(Glycine max ***)oil is determined mainly by its fatty acid(FA)*** evaluated the FA composition of 1025 Chinese soybean accessions collected from diverse ecoregions and grown in multiple locations and *** observed highly significant differences(P<0.001)between accessions in palmitic acid(PA),stearic acid(SA),oleic acid(OA),linoleic acid(LA),and linolenic acid(LNA)*** year affected(P<0.001)the abundance of all FAs except *** mean PA,SA,OA,LA,and LNA contents were 12.2%,3.8%,21.5%,54.2%,and 8.3%,*** geographical origin of the accession influenced seed FA composition,indicating that accessions originating in each ecoregion tend to have distinct FA *** observed significant positive correlations among the three locations and between the two years,suggesting the high heritability and stability of individual accessions across contrasting *** also observed a relatively high negative correlation between the contents of OA and both LA and LNA(r=-0.90 and-0.59,respectively,each significant at P<0.001),providing a potential entry point for developing strains producing oil with higher OA and lower LA and LNA *** would be appropriate for specialized use in the food *** results will be useful in breeding soybean with improved quality to meet human nutritional and industrial needs.

关键词： soybean breeding Glycine

Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay Pandemic Model

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2020年第9期64卷 1401-1414页

作者： muhammad Naveed muhammad Rafiq Ali Raza Nauman ahmed Ilyas Khan Kottakkaran Sooppy Nisar Atif Hassan Soori Department of Mathematics Air UniversityIslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics National College of Business Administration and EconomicsLahorePakistan Department of Mathematics and Statistics The University of LahoreLahorePakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh72915Vietnam Department of Mathematics College of Arts and Science at Wadi AldawaserPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia

In this manuscript,the mathematical analysis of corona virus model with time delay effect is *** modelling of infectious diseases has substantial role in the different disciplines such as biological,engineering,physical,social,behavioural problems and many *** of infectious diseases are dreadful such as HIV/AIDS,Hepatitis and ***,due to the non-availability of vaccine for 2019-nCov around the world,the delay factors like,social distancing,quarantine,travel restrictions,holidays extension,hospitalization and isolation are used as key tools to control the pandemic of *** have analysed the reproduction number𝐑𝐑𝐧𝐧𝐧𝐧𝐧𝐧𝐧𝐧of delayed *** key strategies from the reproduction number of 2019-nCov model,may be followed,according to the nature of the disease as if it is diminished or present in the *** more delaying tactics eventually,led to the control of *** and global stability of 2019-nCov model is presented for the *** have also investigated the effect of delay factor on reproduction number𝐑R_(nCov).Finally,some very useful numerical results are presented to support the theoretical analysis of the model.

关键词： 2019-nCov delay model reproduction number stability analysis numerical results

Genetic polymorphisms of GSTM1,GSTP1 and GSTT1 genes and lung cancer susceptibility in the Bangladeshi population

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2014年第12期4卷 982-989页

作者： Mir muhammad Nasir Uddin Maizbha Uddin ahmed Mohammad Safiqul Islam Mohammad Siddiqul Islam muhammad Shahdaat bin Sayeed Yearul Kabir Abul Hasnat Department of Clinical Pharmacy and Pharmacology Faculty of PharmacyUniversity of Dhaka Department of Pharmacy Noakhali Science and Technology University Department of Biochemistry and Molecular Biology University of Dhaka

Objective:To verify possible associations between polymorphisms of glutathione S-transferase Mu(GSTM1),glutathione S-transferase θ(GSTT1) and glutathione S-transferase Pi(GSTP1)genes and susceptibility to lung ***:A total of 106 lung cancer patients and 116 controls were enrolled in a case-control *** GSTM1 and GSTT1 were analyzed using PCR while GSTP1 was analyzed using PCR-restriction fragment length *** of lung cancer was estimated as odds ratio at 95%confidence interval using unconditional logistic regression models adjusting for age,sex,and tobacco ***:GSTM1 null and GSTT1 null genotypes did not show a significant risk for developing lung cancer.A significandy elevated lung cancer risk was associated with GSTP1 heterozygous,mutant and combined heterozygous+mutant variants of *** classified by tobacco consumption status,no association with risk of lung cancer was found in case of tobacco smokers and nonsmokers carrying null and present genotypes of GSTM1 and GSTTL There is a three-fold(approximately) increase in the risk of lung cancer in case of both heterozygous(AG) and heterozygous+mutant homozygous(AG+GG) genotypes whereas there is an eightfold increase in risk of lung cancer in cases of GG with respect to AA genotype in ***:Carrying the GSTM1 and GSTT1 null genotype is not a risk factor for lung cancer and GSTP1Ile105 Val is associated with elevated risk of lung cancer.

关键词： Lung cancer Glutathione S-transferase Genetic polymorphism Smoking