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Earlier Detection of Alzheimer’s Disease Using 3D-Convolutional Neural Networks

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Computer Systems Science & Engineering 2023年第8期46卷 2601-2618页

作者： v.P.Nithya N.Mohanasundaram r.Santhosh Department of Computer Science and Engineering Karpagam Academy of Higher EducationCoimbatoreIndia

The prediction of mild cognitive impairment or Alzheimer’s disease(AD)has gained the attention of huge researchers as the disease occurrence is increasing,and there is a need for earlier ***,due to the highdimensionality nature of neural data and the least available samples,modelling an efficient computer diagnostic system is highly *** approaches,specifically deep learning approaches,are essential in disease *** Learning(DL)approaches are successfully demonstrated for their higher-level performance in various fields like medical imaging.A novel 3D-Convolutional Neural Network(3D-CNN)architecture is proposed to predict AD with Magnetic resonance imaging(MrI)*** proposed model predicts the AD occurrence while the existing approaches lack prediction accuracy and perform binary *** proposed prediction model is validated using the Alzheimer’s disease Neuro-Imaging Initiative(ADNI)*** outcomes demonstrate that the anticipated model attains superior prediction accuracy and works better than the brain-image dataset’s general *** predicted model reduces the human effort during the prediction process and makes it easier to diagnose it intelligently as the feature learning is ***’experimentation is carried out,and the model’s superiority is compared with various advanced approaches for multi-level *** proposed model gives better prediction accuracy,precision,recall,and F-measure than other systems like Long Short Term Memory-recurrent Neural Networks(LSTM-rNN),Stacked Autoencoder with Deep Neural Networks(SAE-DNN),Deep Convolutional Neural Networks(D-CNN),Two Dimensional Convolutional Neural Networks(2D-CNN),Inception-v4,resNet,and Two Dimensional Convolutional Neural Networks(3D-CNN).

关键词： Alzheimer’s disease 3D CNN ADNI prediction accuracy highdimensionality data

Elabela is a reliable biomarker for predicting early onset preeclampsia:A comparative study

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World Journal of Clinical Cases 2023年第17期11卷 3993-4002页

作者： Eham Amer Ali Wassan Nori Alea Farhan Salman Taghreed S Saeed Al-rawi Ban H Hameed raid M Al-ani Department of Chemistry and Biochemistry Mustansiriyah UniversityBaghdad 10052Iraq Department of Obstetrics and Gynecology Mustansiriyah UniversityBaghdad 10052Iraq National Central of Hematology Mustansiriyah UniversityBaghdad 10052Iraq Department of Biochemistry University of Anbar College of MedicineRamadi City 31001AnbarIraq Department of Surgery/Otolaryngology University of Anbar College of MedicineUniversity of Anbar College of MedicineRamadi City 31001AnbarIraq

BACKGrOUND Preeclampsia(PE)is a multisystemic metabolic disease with an undetermined *** is a worldwide cause of maternal and perinatal morbidity,subdivided into early(EoPE)and late-onset(LoPE)according to 34 wk of gestation as a *** researchers investigated biomarkers for predicting PE to halt its consequences on the feto-maternal ***(Ela)is a newly discovered peptide hormone that was implicated in PE *** rodent studies discussed Ela’s role in controlling blood ***,Ela deficiency was associated with PE *** To test whether plasma Ela could serve as a reliable marker for predicting PE based on the time of onset(EoPE vs LoPE)compared to age and body mass matched healthy controls since no definitive treatment exists for PE but to terminate a *** This case-control study recruited(n=90)pregnant who fulfilled inclusion criteria;they were allocated into three groups:EoPE(30/90)(regnant(30/90).Demographic criteria;biochemical,hematological,and maternal plasma Ela levels were recorded for *** Serum Ela was significantly reduced in EoPE compared to LoPE and healthy controls(P=0.0023).The correlation confirmed a strong inverse relationship with mean atrial blood pressure(r=-0.7,Prate correlation with(r=0.4 with Prrelation was confirmed between the body mass index(BMI)and urine *** predictive ability of 25 centile serum Ela had an Odds ratio of 5.21,95%confidence interval(1.28,21.24),P=0.02 for predicting *** receiver operator characteristic curve defined the Ela cutoff value at>9.156 with 96.7%and 93.3%sensitivity and specificity,Predicting *** A strong correlation of serum Ela with PE parameters with excellent sensitivity and specificity in distinguishing EoPE independent of the BMI,age,and blood pr

关键词： Early onset preeclampsia Late-onset preeclampsia Prediction Elabela Preeclampsia Pregnant women

Water Quality Index Using Modified random Forest Technique: Assessing Novel Input Features

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Computer Modeling in Engineering & Sciences 2022年第9期132卷 1011-1038页

作者： Wen Yee Wong Ayman Khallel Ibrahim Al-ani Khairunnisa Hasikin anis Salwa Mohd Khairuddin Sarah Abdul razak Hanee Farzana Hizaddin Mohd Istajib Mokhtar Muhammad Mokhzaini Azizan Department of Biomedical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Institute of Biological Sciences Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Chemical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Science and Technology Studies Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering and Built EnvironmentUniversiti Sains Islam MalaysiaBandar Baru NilaiNilaiNegeri Sembilan71800Malaysia

Water quality analysis is essential to understand the ecological status of aquatic *** water quality index(WQI)assessment methods are limited to features such as water acidic or basicity(pH),dissolved oxygen(DO),biological oxygen demand(BOD),chemical oxygen demand(COD),ammoniacal nitrogen(NH3-N),and suspended solids(SS).These features are often insufficient to represent the water quality of a heavy metal–polluted ***,this paper aims to explore and analyze novel input features in order to formulate an improved *** this work,prospective insights on the feasibility of alternative water quality input variables as new discriminant features are *** new discriminant features are a step toward formulating adaptive water quality parameters according to the land use activities surrounding the *** results and analysis obtained from this study have proven the possibility of predicting WQI using new input *** work analyzes 17 new input features,namely conductivity(COND),salinity(SAL),turbidity(TUr),dissolved solids(DS),nitrate(NO3),chloride(Cl),phosphate(PO4),arsenic(As),chromium(Cr),zinc(Zn),calcium(Ca),iron(Fe),potassium(K),magnesium(Mg),sodium(Na),***,and total coliform,in predicting WQI using machine learning *** regression algorithms-random forest(rF),AdaBoost,support vector regression(Svr),decision tree regression(DTr),and multilayer perception(MLP)-are applied for preliminary model *** results show that the rF algorithm exhibits better prediction performance,with r2 of ***,this work proposes a modified rF by incorporating the synthetic minority oversampling technique(SMOTE)into the conventional rF *** proposed modified rF method is shown to achieve 77.68%,74%,69%,and 71%accuracy,precision,recall,and F1-score,*** addition,the sensitivity analysis is included to highlight the importance of the turbidity variable in WQI *** results of sensitivity analysis high

关键词： Artificial intelligence random forest environmental modeling alternative inputs SMOTE

Fuzzy Based reliable Load Balanced routing Approach for Ad hoc Sensor Networks

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Computer Systems Science & Engineering 2022年第6期41卷 861-874页

作者： J.v.Anchitaalagammai rajesh verma M.Kavitha A.r.revathi S.r.Preethi Kiranmai Bellam Department of Computer Science and Engineering Velammal College of Engineering and TechnologyMadurai625009TamilNaduIndia Department of Electrical Engineering King Khalid UniversityAbha62529Saudi Arabia Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTiruchirappalli621112Tamil NaduIndia Department of Information Technology SRM Valliammai Engineering CollegeChennai603203Tamil NaduIndia Department of Electronics and Communication Engineering SRM Valliammai Engineering CollegeChennai603203Tamil NaduIndia Department of Computer Science Prairie View A&M UniversityPrairie ViewTXUnited State

Energy management and packet delivery rate are the important factors in ad hoc *** is the major network where nodes share the information without *** to the mobility of nodes,maximum energy is spent on transmission of *** energy is wasted on packet dropping and false route *** this research work,Fuzzy Based reliable Load Balanced routing Approach(rLrA)is proposed to provide high energy efficiency and more network lifetime using optimal multicast route discovery *** contains three *** first phase,optimal multicast route discovery is initiated to resolve the link *** second phase,the link quality is estimated and set to threshold value to meet the requirements of high energy *** third phase,energy model is shown to obtain total energy of network after transmission of packets.A multicast routing is established Based on path reliability and fault tolerant calculation is done and integrated with multicast *** routes can withstand the malicious *** decision model is integrated with propose protocol to decide the performance of network *** network simulation tool is used for evaluating the rLrA with existing schemes and performance of rLrA is good compared to others.

关键词： Fuzzy model link quality multicast route energy model cluster group node lifetime

Effect of biochar on the metabolome of soybean seedlings

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Oil Crop Science 2024年第1期9卷 60-68页

作者： Nathalia E.Silva Mariana G.Aguilar Osania E.Ferreira Gleicia M.Paulino Jaqueline C.L.Carvalho Lúcia P.S.Pimenta Alan r.T.Machado Programa de Pos-graduaçao em Ciencias Ambientais Universidade do Estado de Minas GeraisFrutalMinas Gerais38202-436Brazil Departamento de Química Universidade Federal de Minas GeraisMinas GeraisBelo Horizonte31270-901Brazil Departamento de Engenharia Aplicada e Tecnologias Ambientais Universidade do Estado de Minas GeraisJoao MonlevadeMinas Gerais35930-314Brazil Departamento de Ciencias Exatas Universidade do Estado de Minas GeraisJoao MonlevadeMinas Gerais35930-314Brazil

The use of biochar can have several effects on plant germination,depending on raw material,preparation method and application ***,the molecular mechanisms that lead to those results have yet to be *** aim of this research was to improve the understanding of these mechanisms by characterizing the metabolic effects of sugarcane bagasse biochar on soybean *** types of biochars were prepared by pyrolysis at 300℃(SCB300),400℃(SCB400)and 600℃(SCB600).Then,each one was mixed into sand at 1%,3%,5%(w/w)dose,*** experiment was performed in 8 days of incubation,when the number of germinated seeds and the average radicle length were *** evaluate the metabolome,the dry biomass(DB)was subjected to extraction with a mixture of methanol-d4 and D2O(1:1 v/v).The extracts were submitted to metabolomics analysis by Proton Nuclear Magnetic *** relative Germination,relative Average radicle Growth and Germination Index increased in all treatments compared to *** the other hand,the DB increased in all treatments,except for SCB300,at doses of 1%and 3%w/*** metabolites(alanine,asparagine,acetic acid,citric acid,glycerol,fatty acids and sucrose)were identified and quantified in DB extracts as the most influential finding for the separation of *** together,these results strongly suggested that biochars accelerated the catabolism of triacylglycerols to sucrose and induced a slight osmotic stress.

关键词： Germination Metabolomics 1H NMr Pyrolysis Sugarcane bagasse

Hepatoprotective activity of Terminalia paniculata against paracetamol induced hepatocellular damage in Wistar albino rats

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Asian Pacific Journal of Tropical Medicine 2011年第6期4卷 466-469页

作者： Eesha br Mohanbabu Amberkar v Meena Kumari K Sarath babu vijay M Lalit M rajput r Department of Pharmacology Kasturba Medical CollegeManipal UniversityKarnatakaIndia

Objective:To evaluate the hepatoprotective activity of Terminalia paniculata against paracetamol induced hepatic damage in ***:The plant material was shade dried, powdered and extracted with *** 52 and silymarin were used as standard drugs and 2%gum acacia as a control(vehicle).Alteration in the levels of biochemical markers of hepatic damage like AST,ALT,ALP and lipid peroxides were tested,and phytochemical tests were also ***:Paracetamol(2 g/kg) increased the serum levels of alanine aminotransfer (ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP) and the lipid peroxides. Treatment of Liv 52,silymarin and ethanolic extract of Terminalia paniculata(200 mg/kg) altered levels of biochemical marker and showed significant hepatoprotective *** extract revealed the presence of phenolic compound and *** findings suggested that ethanolic bark extract of Terminalia paniculata possessed hepatoprotective activity in a dose dependent ***:Terminalia paniculata possesses hepatoprotective *** could be an effective and promising preventive agent against PCT induced hepatotoxicity.

关键词： Terminalia paniculata Hepatoprotection Paracetamol Liv 52 Silymarin

Design of Clustering Techniques in Cognitive radio Sensor Networks

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Computer Systems Science & Engineering 2023年第1期44卷 441-456页

作者： r.Ganesh Babu D.Hemanand v.Amudha S.Sugumaran Department of Electronics and Communication Engineering SRM TRP Engineering College621105Tamil NaduIndia Department of Computer Science and Engineering Sriram Engineering College602024Tamil NaduIndia Department of Electronics and Communication Engineering Saveetha School of Engineering602105Tamil NaduIndia Department of Electronics and Communication Engineering Vishnu Institute of TechnologyBhimavaram534202Andhra PradeshIndia

In recent decades,several optimization algorithms have been developed for selecting the most energy efficient clusters in order to save power during trans-mission to a shorter distance while restricting the Primary Users(PUs)*** Cognitive radio(Cr)system is based on the Adaptive Swarm Distributed Intelligent based Clustering algorithm(ASDIC)that shows better spectrum sensing among group of multiusers in terms of sensing error,power sav-ing,and convergence *** this research paper,the proposed ASDIC algorithm develops better energy efficient distributed cluster based sensing with the optimal number of clusters on their *** this research,multiple random Sec-ondary Users(SUs),and PUs are considered for ***,the pro-posed ASDIC algorithm improved the convergence speed by combining the multi-users clustered communication compared to the existing optimization *** results showed that the proposed ASDIC algorithm reduced the node power of 9.646%compared to the existing ***,ASDIC algorithm reduced 24.23%of SUs average node power compared to the existing *** of detection is higher by reducing the Signal-to-Noise ratio(SNr)to 2 dB *** proposed ASDIC delivers low false alarm rate compared to other existing optimization algorithms in the primary *** results showed that the proposed ASDIC algorithm effectively solves the multimodal optimization problems and maximizes the performance of net-work capacity.

关键词： Adaptive swarm distributed clustering cognitive radio clustering algorithm distributed swarm intelligent energy efficient distributed cluster-based sensing multi modal optimization

Photoelectrochemical activity of ZnO:Ag/rGO photo-anodes synthesized by two-steps sol-gel method

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Chinese Physics B 2022年第5期31卷 691-702页

作者： D Ben Jemia M Karyaoui M A Wederni A Bardaoui M v Martinez-Huerta M Amlouk r Chtourou Laboratory of Nanomaterials and renewable Energy Systems LANSEr Research and Technology Center of EnergyBorj-Cedria Science and Technology ParkBP 952050 Hammam-LifTunisia Faculty of Science of Tunis University of Tunis El ManarTunisia Laboratory of Physics of Materials and Nanomaterials Applied to the Environment(LaPhyMNE) Faculty of Sciences of GabesCite ErriadhUniversity of Gabes6079 GabesTunisia lnstitute of Catalysis and Petrochemistry CSICin MadridSpain Laboratory of Nanomaterials Nanotechnology and Energy(L2NE)University of Tunis El ManarTunisia

This work investigated the influence of silver plasmon and reduced graphene oxide(r GO)on the photoelectrochemical performance(PEC)of Zn O thin films synthesized by the sol-gel *** physicochemical properties of the obtained photo-anodes were systematically studied by using several characterization *** x-ray diffraction analysis showed that all samples presented hexagonal wurtzite structure with a polycrystalline *** and energy dispersive x-ray(EDX)studies confirmed the existence of both Ag and r GO in Zn O:Ag/r GO thin *** estimated grain size obtained from scanning electron microscopy(SEM)analysis decreased with Ag doping,then increased to a maximum value after r GO *** Uv-vis transmission spectra of the as-prepared Zn O:Ag and Zn O:Ag/r GO thin films have shown a reduction in the visible range with a redshift at the absorption *** bandgaps were estimated to be around 3.17 e v,2.7 e v,and 2.52 e v for Zn O,Zn O:Ag,and Zn O:Ag/r GO,***,the electrical measurements revealed that the charge exchange processes were enhanced at the Zn O:Ag/r GO/electrolyte interface,accompanied by an increase in the(PEC)performance compared to Zn O and Zn O:Ag ***,the photocurrent density of Zn O:Ag/r GO(0.2 m A·cm^(-2)) was around 4 and 2.22 times higher than photo-anodes based on undoped Zn O(0.05 m A·cm^(-2)) and Zn O:Ag(0.09 m A·cm^(-2)),***,from the flat band potential and donor density,deduced from the Mott-Schottky,it was clear that all the samples were n-type semiconductors with the highest carrier density for the Zn O:Ag/r GO photo-anode.

关键词： zinc oxide reduced graphene oxide silver doping sol-gel photoelectrochemical performance

Cluster decay half-lives using asymmetry dependent densities

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Chinese Physics C 2022年第4期46卷 131-140页

作者： v.Dehghani S.A.Alavi r.razavi A.Soylu F.Koyuncu Department of Physics University of Sistan and BaluchestanZahedanIran Physics Department Faculty of ScienceImam Hossein Comprehensive UniversityTehranIran Department of Physics Nigdeomer Halisdemir UniversityNigde 51240Turkey Program of Opticianry Golhisar Vocational School of Health ServicesBurdur Mehmet Akif Ersoy University15400GolhisarBurdurTurkey

By adopting different neutron and proton density distributions,cluster decay half-lives were investigated using double-folding potentials with constant and nuclear asymmetry dependent sets of nuclear density *** adopted asymmetry dependent sets of parameters were fitted based on microscopic calculations,and they were calculated based on the neutron skin/halo-type nuclei assumption and by employing experimental rms charge radii.A bulk agreement between theory and experiment was obtained for all sets of parameters using a calculated cluster preformation *** differences were observed between the skin and halo-type ***,the notable role of the asymmetry parameter was observed in the relatively large differences between the skin and skintype with zero thickness.

关键词： cluster decay double-folding charge radii density