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Cerebral misery perfusion due to carotid occlusive disease

Stroke & Vascular Neurology 2017年第2期2卷 88-93页

作者： mohana maddula Nikola Sprigg Philip M Bath Sunil Munshi Acute Stroke Unit Tauranga HospitalTaurangaNew Zealand Division of Clinical Neuroscience University of NottinghamNottinghamUK Department of Stroke Nottingham University Hospitals NHS TrustNottinghamUK

Purpose Cerebral misery perfusion(CMP)is a condition where cerebral autoregulatory capacity is exhausted,and cerebral blood supply in insufficient to meet metabolic *** present an educational review of this important condition,which has a range of clinical *** A non-systematic review of published literature was undertaken on CMP and major cerebral artery occlusive disease,using Pubmed and *** Patients with CMP may present with strokes in watershed territories,collapses and transient ischaemic attacks or episodic movements associated with an orthostatic *** positron emission tomography is the gold standard investigation for misery perfusion,advanced MRI is being increasingly used as an alternative investigation *** presence of CMP increases the risk of *** addition to the devastating effect of stroke,there is accumulating evidence of impaired cognition and quality of life with carotid occlusive disease(COD)and misery *** evidence for revascularisation in the setting of complete carotid occlusion is *** management constitutes careful blood pressure management while addressing other vascular risk *** The evidence for the management of patients with COD and CMP is discussed,together with recommendations based on our local *** this review,we focus on misery perfusion due to *** Patients with CMP and COD may present with a wide-ranging clinical phenotype and therefore to many *** identification of patients with misery perfusion may allow appropriate management and focus on strategies to maintain or improve cerebral blood flow,while avoiding potentially harmful treatment.

关键词： perfusion carotid impaired

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Clays as dietary supplements for swine:A review

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Journal of Animal Science and Biotechnology 2016年第1期7卷 41-49页

作者： mohana Devi Subramaniam In Ho Kim Department of Animal Resource and Science Dankook University

Clays are crystalline, hydrated aluminosilicate molecules composed of alkali and alkaline earth cations along with small amounts of various other elements. The best-known are montmorillonite, smectite, illite, kaolinite, biotite and clinoptilolite. The molecules in these clays are arranged in three-dimensional structures creating internal voids and channels capable of trapping a wide variety of molecules. As a result of this structure, clay minerals are regarded as a simple and effective tool for the prevention of the negative effects of many toxic compounds. Dietary supplementation with clays has been shown to improve weight gain and feed conversion in pigs. Where improvements in performance have been noted, one of the most likely explanations for the improvement is the fact clays increase nutrient digestibility. Clays reduce the speed of passage of feed along the digestive tract which allows more time for digestion. Feeding clays also causes morphological changes in the intestina mucosa such as an increase in villus height and an increase in the villus height to crypt depth ratio. These changes increase the surface area of the gastrointestinal tract thus increasing nutrient digestibility, Several studies have indicated that feeding clay reduces the incidence, severity and duration of diarrhea in pigs. The mechanism for the reduction in diarrhea is likely due to increases in the numbers of Bifidobacteria and Lactobacillus and decreases in Clostridia and E. coil in the small intestine of pigs fed clays. In addition, the numbers of pigs born alive and weaned, birth weight and weaning weight have been shown to be higher for sows fed clays. Several studies have indicated that clays can help mitigate the effects of mycotoxins. The aim of the present review is to focus on the various clays which have been given attention in recent research and to discuss their potential to improve pig performance.

关键词： Animal production Clay Clinoptilolite Feed additive Montmorillonite Zeolite

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Influence of rotor solidity on trailing edge noise from wind turbine blades

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Advances in Aerodynamics 2020年第1期2卷 301-320页

作者： asishta Bhargava Nukala Satya Prasad maddula Department of Mechanical Engineering Sreyas Institute of Engineering and TechnologyNagoleHyderabadTelanganaIndia Department of Aerospace Engineering GITAM School of TechnologyPatancheruTelanganaIndia

Noise prediction from streamlined bodies such as wind turbine blades can be predicted accurately using CFD computations that use spatio-temporal turbulence models at the expense of high computational *** this work,empirical methods proposed from BPM,Grosveld and Lowson are used to compute numerically to analyse the influence of rotor solidity factor on broadband trailing edge noise from a 2 MW horizontal axis wind turbine with a blade length of 37 *** to acoustic solver are the velocity vector field and boundary layer data which are obtained using blade element momentum and *** outputs from acoustic solver are directivity and far field sound pressure on a receiver located at distance of 120m from tower *** results have shown that for a wind speed of 10 m/s measured at 10m above ground,sound power level was found to increase between mid-bands to high frequencies for all three *** solidity effect was illustrated at constant rotational speed of 17 RPM and receiver height of 0.5m located in downwind position.A minimum difference of 1.5dBA was found at f~100 Hz for Lowson method and maximum of~2.8dBA at 1 kHz between two and three blade *** BPM and Grosveld methods however,the sound levels were~5dBA lower for two blade rotor than three blade rotor between f~100 Hz and f~1 *** study also demonstrated that as number of blades increase by integral multiples,the effect on noise radiation from trailing edge of blades increase by 2-5dBA due to amplitude modulation.

关键词： Sound power Boundary layer Wind turbine Blade Trailing edge

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Parametric investigation on the novel and cost-effective nano fly ash impregnated geopolymer system for sustainable construction

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Frontiers of Structural and Civil Engineering 2024年第2期18卷 170-183页

作者： R.mohana S.M.Leela BHARATHI Department of Civil Engineering Mepco Schlenk Engineering CollegeSivakasi 626123India

The hazardous environmental effects of greenhouse gas emissions and climate change demand alternative sources for cementitious materials in the construction *** development of geopolymer structures provides a way of producing 100%cement-free *** this research work,a novel and simple way of deriving nano particles from waste fly ash particles is *** effect of adding the synthesized nano fly ash particles as a filler medium in geopolymer mortars was investigated by considering strength and durability *** optimization was done by using regression analysis on the geopolymer mortar and the impact of adding nano fly ash particles was studied by varying different percentages of addition ranging from 0 to 7.5%by weight of binder *** the results,it was observed that 1%nano fly ash acted not only as a filler but also as nano-sized precursors of the polymerization process,resulting in denser geopolymer *** can explain the extraordinary gain in strength of 72.11 MPa as well as the denser core with negligible level of chloride ion penetration,making the material suitable for the development of structures susceptible to marine environment.

关键词： geopolymer nano fly ash chloride ion penetration durability polymerization fillers

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Automatic Fetal Segmentation Designed on Computer-Aided Detection with Ultrasound Images

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Computers, Materials & Continua 2024年第11期81卷 2967-2986页

作者： mohana Priya Govindarajan Sangeetha Subramaniam Karuppaiya Bharathi Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalaniChennaiTamil Nadu600026India

In the present research,we describe a computer-aided detection(CAD)method aimed at automatic fetal head circumference(HC)measurement in 2D ultrasonography pictures during all trimesters of *** HC might be utilized toward determining gestational age and tracking fetal *** automated approach is particularly valuable in low-resource settings where access to trained sonographers is *** CAD system is divided into two steps:to begin,Haar-like characteristics were extracted from ultrasound pictures in order to train a classifier using random forests to find the fetal *** identified the HC using dynamic programming,an elliptical fit,and a Hough *** computer-aided detection(CAD)program was well-trained on 999 pictures(HC18 challenge data source),and then verified on 335 photos from all trimesters in an independent test set.A skilled sonographer and an expert in medicine personally marked the test *** used the crown-rump length(CRL)measurement to calculate the reference gestational age(GA).In the first,second,and third trimesters,the median difference between the standard GA and the GA calculated by the skilled sonographer stayed at 0.7±2.7,0.0±4.5,and 2.0±12.0 days,*** regular duration variance between the baseline GA and the health investigator’s GA remained 1.5±3.0,1.9±5.0,and 4.0±14 a couple of *** mean variance between the standard GA and the CAD system’s GA remained between 0.5 and 5.0,with an additional variation of 2.9 to 12.5 *** outcomes reveal that the computer-aided detection(CAD)program outperforms an expert *** paired with the classifications reported in the literature,the provided system achieves results that are comparable or even *** have assessed and scheduled this computerized approach for HC evaluation,which includes information from all trimesters of gestation.

关键词： Fetal growth segmentation ultrasound images computer-aided detection gestational age crown-rump length head circumference

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Stacking Ensemble Learning-Based Convolutional Gated Recurrent Neural Network for Diabetes Miletus

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Intelligent Automation & Soft Computing 2023年第4期36卷 703-718页

作者： G.Geetha K.mohana Prasad Sathyabama Institute of Science and Technology 603202TamilnaduIndia SRM Institute of Science and Technology 603202TamilnaduIndia

Diabetes mellitus is a metabolic disease in which blood glucose levels rise as a result of pancreatic insulin production *** causes hyperglycemia and chronic multiorgan dysfunction,including blindness,renal failure,and cardi-ovascular disease,if left *** of the essential checks that are needed to be performed frequently in Type 1 Diabetes Mellitus is a blood test,this procedure involves extracting blood quite frequently,which leads to subject discomfort increasing the possibility of infection when the procedure is often ***-ing methods used for diabetes classiﬁcation have less classiﬁcation accuracy and suffer from vanishing gradient problems,to overcome these issues,we proposed stacking ensemble learning-based convolutional gated recurrent neural network(CGRNN)Metamodel *** proposed method initially performs outlier detection to remove outlier data,using the Gaussian distribution method,and the Box-cox method is used to correctly order the *** the outliers’detec-tion,the missing values are replaced by the data’s mean rather than their *** the stacking ensemble base model,multiple machine learning algorithms like Naïve Bayes,Bagging with random forest,and Adaboost Decision tree have been *** Meta model uses two hidden layers Long-Short-Time Memory(LSTM)and Gated Recurrent Unit(GRU)to calculate the weight matrix for diabetes ***,the calculated weight matrix is passed to the soft-max function in the output layer to produce the diabetes prediction *** using LSTM-based CG-RNN,the mean square error(MSE)value is 0.016 and the obtained accuracy is 91.33%.

关键词： Diabetes mellitus convolutional gated recurrent neural network Gaussian distribution box-cox predict diabetes

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Intelligent Framework for Secure Transportation Systems Using Software-Defined-Internet of Vehicles

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Computers, Materials & Continua 2021年第9期68卷 3947-3966页

作者： mohana Priya Pitchai Manikandan Ramachandran Fadi Al-Turjman Leonardo Mostarda School of Computing SASTRA Deemed UniversityThanjavur613401India Research Centre for A.I.and IoT Near East UniversityNicosiaMersin10Turkey Department of Software Engineering Camareno UniversityItaly

The Internet of Things plays a predominant role in automating all real-time *** such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic *** vehicles are connected to the internet through wireless communication technologies,the Internet of Vehicles network infrastructure is susceptible to flooding *** the network infrastructure is difficult as network customization is not *** Software Defined Network provide a flexible programming environment for network customization,detecting flooding attacks on the Internet of Vehicles is integrated on top of *** basic methodology used is crypto-fuzzy rules,in which cryptographic standard is incorporated in the traditional fuzzy *** this research work,an intelligent framework for secure transportation is proposed with the basic ideas of security attacks on the Internet of Vehicles integrated with software-defined *** intelligent framework is proposed to apply for the smart city *** proposed cognitive framework is integrated with traditional fuzzy,cryptofuzzy and Restricted Boltzmann Machine algorithm to detect malicious traffic flows in Software-Defined-Internet of *** is inferred from the result interpretations that an intelligent framework for secure transportation system achieves better attack detection accuracy with less delay and also prevents buffer overflow *** proposed intelligent framework for secure transportation system is not compared with existing methods;instead,it is tested with crypto and machine learning algorithms.

关键词： Internet of things smart cities software-defined network intelligent transportation system fuzzy inference system

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Synthesis and Antimicrobial Activity of 2-Methyl-5-nitroaniline Derivatives： A Structure-Activity Relationship Study

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Chinese Journal of Chemistry 2011年第1期29卷 102-108页

作者： Lingappa, Mallesha Kikkeri, N. mohana Devaraju, Rakshith Sreedharamurthy, Satish Department of Studies in Chemistry University of Mysore Manasagangotri Mysore 570006 India Department of Studies in Microbiology University of Mysore Manasagangotri Mysore 570006 India

A series of 2-methyl-5-nitroaniline derivatives, 5a--Sk and 6a--6f, were synthesized in order to determine their in vitro antimicrobial activity. The chemical structures of the synthesized compounds were confirmed by elemental analyses, UV-visible, FT-IR, 1H NMR and 13C NMR spectral studies. The structure-activity relationships of the synthesized compounds were also discussed. Among the synthesized compounds, 5f, 5d, 6b and 6e showed good antimicrobial activity compared to standard drugs.

关键词： 2-methyl-5-nitroaniline aldehydes ketones antimicrobials

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Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication

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Tsinghua Science and Technology 2024年第3期29卷 698-720页

作者： Thulasiraman Balachander Kadiyala Ramana Rasineni Madana mohana Gautam Srivastava Thippa Reddy Gadekallu SRM Institute of Science and Technology Tamil Nadu 603203India Lebanese American University Beirut 1102Lebanonand also with Chaitanya Bharathi Institute of TechnologyHyderabad 500075India Chaitanya Bharathi Institute of Technology Hyderabad 500075India Brandon University BrandonR7A 0A1CanadaChinaMedical UniversityTaichung 404327Chinaand Lebanese American UniversityBeirut 1102Lebanon Department of Electrical and Computer Engineering Lebanese American UniversityBeirut 1102Lebanon

Recently,Cooperative Spectrum Sensing(CSS)for Cognitive Radio Networks(CRN)plays a significant role in efficient 5G wireless *** sensing is a significant technology in CRN to identify underutilized *** CSS technique is highly applicable due to its fast and efficient performance.5G wireless communication is widely employed for the continuous development of efficient and accurate Internet of Things(IoT)networks.5G wireless communication will potentially lead the way for next generation IoT *** has established significant consideration as a feasible resource to improve identification performance by developing spatial diversity in receiving signal strength in *** this paper,an optimal CSS for CRN is performed using Offset Quadrature Amplitude Modulation Universal Filtered Multi-Carrier Non-Orthogonal Multiple Access(OQAM/UFMC/NOMA)*** of spectrum and bandwidth utilization is a key challenge in CRN for IoT 5G wireless *** optimal solution for CRN in IoT-based 5G communication should be able to provide optimal bandwidth and CSS,low latency,Signal Noise Ratio(SNR)improvement,maximum capacity,offset synchronization,and Peak Average Power Ratio(PAPR)*** Energy Efficient All-Pass Filter(EEAPF)algorithm is used to eliminate *** deployment approach improves Quality of Service(QoS)in terms of system reliability,throughput,and energy *** in-depth experimental results show that the proposed methodology provides an optimal solution when directly compares against current existing methodologies.

关键词： cooperative spectrum sensing cognitive radio network Internet of Things offset quadratureamplitude modulation universal filtered multi-carrier non-orthogonal multiple access

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Incremental Linear Discriminant Analysis Dimensionality Reduction and 3D Dynamic Hierarchical Clustering WSNs

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Computer Systems Science & Engineering 2022年第11期43卷 471-486页

作者： G.Divya mohana Priya M.Karthikeyan K.Murugan Department of Electronics and Communication Engineering Tamilnadu College of EngineeringKarumathampattiCoimbatore641659India Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyAvinashiCoimbatore RdArasurCoimbatoreTamilnadu641048India

Optimizing the sensor energy is one of the most important concern in Three-Dimensional(3D)Wireless Sensor Networks(WSNs).An improved dynamic hierarchical clustering has been used in previous works that computes optimum clusters count and thus,the total consumption of energy is ***,the computational complexity will be increased due to data dimension,and this leads to increase in delay in network data transmission and *** solving the above-mentioned issues,an efficient dimensionality reduction model based on Incremental Linear Discriminant Analysis(ILDA)is proposed for 3D hierarchical clustering *** major objective of the proposed work is to design an efficient dimensionality reduction and energy efficient clustering algorithm in 3D hierarchical clustering *** ILDA approach consists of four major steps such as data dimension reduction,distance similarity index introduction,double cluster head technique and node dormancy *** protocol differs from normal hierarchical routing protocols in formulating the Cluster Head(CH)selection *** to node’s position and residual energy,optimal cluster-head function is generated,and every CH is elected by this *** a 3D spherical structure,under the same network condition,the performance of the proposed ILDA with Improved Dynamic Hierarchical Clustering(IDHC)is compared with Distributed Energy-Efficient Clustering(DEEC),Hybrid Energy Efficient Distributed(HEED)and Stable Election Protocol(SEP)*** is observed that the proposed ILDA based IDHC approach provides better results with respect to Throughput,network residual energy,network lifetime and first node death round.

关键词： Lifetime energy optimization hierarchical routing protocol data transmission reduction incremental linear discriminant analysis(ILDA) three-dimensional(3D)space wireless sensor network(WSN)

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