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Artificial intelligence powered glucose monitoring and controlling system:Pumping module

World Journal of Experimental Medicine 2024年第1期14卷 100-112页

作者： Sravani Medanki Nikhil Dommati hema harshitha bodapati Venkata Naga Sai Kowsik Katru Gollapalli Moses Abhishek Komaraju Nanda Sai Donepudi Dhanya Yalamanchili Jasti Sateesh Pratap Turimerla Department of Electronics and Communication Engineering Velagapudi Ramakrishna Siddhartha Engineering CollegeVijayawada 520007Andhra PradeshIndia Department of General Medicine Siddhartha Government Medical CollegeVijayawada 520008Andhra PradeshIndia

BACKGROUND Diabetes,a globally escalating health concern,necessitates innovative solutions for efficient detection and *** glucose control is an essential aspect of managing diabetes and finding the most effective ways to control *** latest findings suggest that a basal insulin administration rate and a single,highconcentration injection before a meal may not be sufficient to maintain healthy blood glucose *** the basal insulin rate treatment can stabilize blood glucose levels over the long term,it may not be enough to bring the levels below the post-meal limit after 60 *** short-term impacts of meals can be greatly reduced by high-concentration injections,which can help stabilize blood glucose ***,they cannot provide long-term stability to satisfy the postmeal or pre-meal ***,proportional-integral-derivative(PID)control with basal dose maintains the blood glucose levels within the range for a longer *** To develop a closed-loop electronic system to pump required insulin into the patient's body automatically in synchronization with glucose sensor *** The proposed system integrates a glucose sensor,decision unit,and pumping module to specifically address the pumping of insulin and enhance system *** as the intelligence hub,the decision unit analyzes data from the glucose sensor to determine the optimal insulin dosage,guided by a pre-existing glucose and insulin level *** artificial intelligence detection block processes this information,providing decision instructions to the pumping *** with communication antennas,the glucose sensor and micropump operate in a feedback loop,creating a closed-loop system that eliminates the need for manual *** The incorporation of a PID controller to assess and regulate blood glucose and insulin levels in individuals with diabetes introduces a sophisticated and dynamic element to diabetes ***

关键词： Diabetes Hyperglycemia Insulin Micropump Closed loop systems Artificial intelligence automation

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Reconstructing Missing Hourly Real-Time Precipitation Data Using a Novel Intermittent Sliding Window Period Technique for Automatic Weather Station Data

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Journal of Meteorological Research 2017年第4期31卷 774-790页

作者： Nagaraja hema Krishna KANT Department of Computer Science and Engineering/Information Technology Jaypee Institute of Information Technology Noida 201307 India

Precipitation is the most discontinuous atmospheric parameter because of its temporal and spatial variability. Precipitation observations at automatic weather stations（AWSs） show different patterns over different time periods. This paper aims to reconstruct missing data by finding the time periods when precipitation patterns are similar, with a method called the intermittent sliding window period（ISWP） technique—a novel approach to reconstructing the majority of non-continuous missing real-time precipitation data. The ISWP technique is applied to a 1-yr precipitation dataset（January 2015 to January 2016）, with a temporal resolution of 1 h, collected at 11 AWSs run by the Indian Meteorological Department in the capital region of Delhi. The acquired dataset has missing precipitation data amounting to 13.66%, of which 90.6% are reconstructed successfully. Furthermore, some traditional estimation algorithms are applied to the reconstructed dataset to estimate the remaining missing values on an hourly basis. The results show that the interpolation of the reconstructed dataset using the ISWP technique exhibits high quality compared with interpolation of the raw dataset. By adopting the ISWP technique, the root-mean-square errors（RMSEs）in the estimation of missing rainfall data—based on the arithmetic mean, multiple linear regression, linear regression,and moving average methods—are reduced by 4.2%, 55.47%, 19.44%, and 9.64%, respectively. However, adopting the ISWP technique with the inverse distance weighted method increases the RMSE by 0.07%, due to the fact that the reconstructed data add a more diverse relation to its neighboring AWSs.

关键词： automatic weather station intermittent sliding window period interpolation mean absolute error reconstruction of missing precipitation data

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Sonochemically assisted synthesis of nano HMX

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Defence Technology（防务技术） 2019年第6期15卷 837-843页

作者： hema Singh Nilesh Jahagirdar Shaibal Banerjee Department of Applied Chemistry Defence Institute of Advanced Technology (DU)

Nanotechnology has played an influential role in improving the energetic content without subsiding the performance of high energy materials in the current *** this work,HMX(octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine)nanoparticles were prepared by sonochemically assisted solvent-antisolvent spray technique focussing the reduction in its size so as to improve its energetic *** order to fabricate nano HMX various parameters such as different solvents and temperature were *** is one of the strategies recently explored in this regard;so time dependent study of sonication using probe sonicator was *** has been postulated that bubble formed during sonication when collapses generate high temperature and many nucleation sites which leads to the formation of uniform spherical particles with small size and fast transition *** studies depicted phase transformation from a toβas a result of *** TEM images revealed that the rise in the sonication time resulted into decrease in the particle size from 300 to 10 *** scanning calorimetry(DSC)was employed to determine the heat release of the samples and enhancement in the heat release with the decrease in the particle size.A decrease in the spark sensitivity was observed from 2 J(regular HMX)to 50 mJ(nano HMX).

关键词： Sonication Spray technique Nano HMX Probe sonicator Impact sensitivity

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Molecular Simulation of Hydrogen Adsorption Density in Single-Walled Carbon Nanotubes and Multilayer Adsorption Mechanism

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Journal of Materials Science & Technology 2005年第1期21卷 123-127页

作者： LianquanGUO ChangxiangMA ShuaiWANG hema XinLI SchoolofSciences ShenyangUniversityofTechnologyShenyang110023China SchoolofSciences ShenyangUniversityofTechnologyShenyang110023China//SchoolofSciencesNortheasternUniversityShenyang110004China SchoolofSciences NortheasternUniversityShenyang110004China SchoolofBasicCourses ShenyangPharmaceuticalUniversityShenyang110015China

The adsorption of hydrogen onto single-walled carbon nanotubes (SWCNTs) was studied by molecular dynamics (MD) sim'lation. It was found that the hydrogen molecules distribute regularly inside and outside of the tube. Density distribution was computed for H2 molecule. Theoretical analysis of the result showed the multilayer adsorption mechanism of SWCNTs. The storage of H2 in SWCNTs is computed, which provides essential theoretical reference for further study of hydrogen adsorption in SWCNTs.

关键词： Single-walled carbon nanotubes Molecular dynamics Multilayer adsorption Hydrogen storage

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Skeletal muscle metastasis from colorectal adenocarcinoma:A literature review

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World Journal of Gastrointestinal Surgery 2022年第7期14卷 696-705页

作者： Nikhil Kulkarni Ahmed Khalil Shruti bodapati Department of General and Colorectal Surgery Lincoln County HospitalLincoln LN52QYUnited Kingdom Department of General Surgery Plymouth University HospitalsPlymouth PL68DHUnited Kingdom

BACKGROUND Colorectal adenocarcinoma is the third most common cancer *** accounts for almost 10%of all cancer-related *** muscle is a very unusual site for metastasis from colorectal cancers and is associated with a poor prognosis and high *** To review the literature for cases of skeletal muscle metastasis(SMM)from colorectal *** A systematic literature search using a validated search strategy was carried out to identify the incidence of SMM associated with colorectal *** studies identified were tabulated in a PRISMA,and data was extracted in a tabulated *** Twenty-nine studies were included in this literature *** was most commonly detected in the thigh *** of the tumours had originated from the rectum or the right *** histopathology of the primary tumour was generally *** mean time interval between the primary tumour and onset of SMM was 22 *** 3 cases,asymptomatic SMM had been picked up by advanced imaging systems,like fluorodeoxyglucose-positron emission tomography *** SMM from colorectal adenocarcinomas is a rare ***,it is possible that the low incidence could be due to *** use of advanced imaging techniques and a high index of clinical suspicion might increase the reporting of SMM from colorectal adenocarcinoma.

关键词： Skeletal muscle Metastasis Colorectal cancer Adenocarcinoma Systematic review

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Deep learning approach for microarray cancer data classification

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CAAI Transactions on Intelligence Technology 2020年第1期5卷 22-33页

作者： hema Shekar Basavegowda Guesh Dagnew Department of Studies and Research in Computer Science Mangalore UniversityMangaloreKarnatakaIndia

Analysis of microarray data is a highly challenging problem due to the inherent complexity in the nature of the data associated with higher dimensionality,smaller sample size,imbalanced number of classes,noisy data-structure,and higher variance of feature *** has led to lesser classification accuracy and over-fitting *** this work,the authors aimed to develop a deep feedforward method to classify the given microarray cancer data into a set of classes for subsequent diagnosis *** have used a 7-layer deep neural network architecture having various parameters for each *** small sample size and dimensionality problems are addressed by considering a well-known dimensionality reduction technique namely principal component *** feature values are scaled using the Min-Max approach and the proposed approach is validated on eight standard microarray cancer *** measure the loss,a binary cross-entropy is used and adaptive moment estimation is considered for *** performance of the proposed approach is evaluated using classification accuracy,precision,recall,f-measure,log-loss,receiver operating characteristic curve,and confusion matrix.A comparative analysis with state-of-the-art methods is carried out and the performance of the proposed approach exhibit better performance than many of the existing methods.

关键词： microarray diagnosis dimensionality

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Methane dehydroaromatization–A study on hydrogen use for catalyst reduction, role of molybdenum, the nature of catalyst support and significance of Bronsted acid sites

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Journal of Energy Chemistry 2019年第7期28卷 20-32页

作者： Vaidheeshwar Ramasubramanian hema Ramsurn Geoffrey L.Price Russell School of Chemical Engineering The University of Tulsa

Methane dehydroaromatization was studied over Mo/SiO2 and Mo/HZSM-5 with different Mo loadings(2, 5, 10 wt%) at 973 K and 1023 K in a recirculating batch reactor. H2 pretreatment at 1023 K prior to methane activation has significantly improved the catalyst activity with increase in Mo loading and reduced the induction time on benzene formation in both Mo/SiO2 and Mo/HZSM-5. 10 wt% Mo/HZSM-5 gave a maximum methane conversion of 19% and ~67% benzene selectivity at 1023 K. The XRD analysis of used catalysts revealed that the Mo O3 species were converted to β-Mo2C phase. Studies on Mo/SiO2 catalysts showed that benzene was formed even in the absence of acidic zeolite sites. Reactions of ethylene in the presence of pure silica, HZSM-5 and in a blank reactor revealed that conversion of ethylene to aromatics was similar in case of the blank reactor and silica. Thus, it is believed that molybdenum carbide sites act as active sites only for C–H bond activation of methane and ethylene formation. Even though, ethylene can undergo subsequent oligomerization without any catalytic aid to form benzene at973 K and above addition of acidic zeolites improved the selectivity of benzene.

关键词： Methane dehydroaromatization HZSM-5 Silica Molybdenum loading H2 pretreatment Acidic function

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An Efficient Framework for Utilizing Underloaded Servers in Compute Cloud

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Computer Systems Science & Engineering 2023年第1期44卷 143-156页

作者： M.hema S.Kanaga Suba Raja Department of Information Technology Easwari Engineering CollegeChennai600089India Department of Computer Science and Engineering Easwari Engineering CollegeChennai600089India

In cloud data centers,the consolidation of workload is one of the phases during which the available hosts are allocated *** phenomenon ensures that the least possible number of hosts is used without compromise in meeting the Service Level Agreement(SLA).To consolidate the workloads,the hosts are segregated into three categories:normal hosts,under-loaded hosts,and over-loaded hosts based on their *** is to be noted that the identification of an extensively used host or underloaded host is challenging to ***-old values were proposed in the literature to detect this *** current study aims to improve the existing methods that choose the underloaded hosts,get rid of Virtual Machines(VMs)from them,andfinally place them in some other *** researcher proposes a Host Resource Utilization Aware(HRUAA)Algorithm to detect those underloaded and place its virtual machines on different hosts in a vibrant Cloud *** mechanism presented in this study is contrasted with existing mechanisms *** results attained from the study estab-lish that numerous hosts can be shut down,while at the same time,the user's workload requirement can also be *** proposed method is energy-efficient in workload consolidation,saves cost and time,and leverages active hosts.

关键词： Workload consolidation energy consumption under load server resource utilization

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Deep Learning-Based FOPID Controller for Cascaded DC-DC Converters

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Computer Systems Science & Engineering 2023年第8期46卷 1503-1519页

作者： S.hema Y.Sukhi Department of EEE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of EEE R.M.K.Engineering CollegeKavaraipettaiChennai601206India

Smart grids and their technologies transform the traditional electric grids to assure safe,secure,cost-effective,and reliable power ***-linear phenomena in power systems,such as voltage collapse and oscillatory phenomena,can be investigated by chaos ***,renewable energy resources,such as wind turbines,and solar photovoltaic(PV)arrays,have been widely used for electric power *** design of the controller for the direct Current(DC)converter in a PV system is performed based on the linearized model at an appropriate operating ***,these operating points are everchanging in a PV system,and the design of the controller is usually accomplished based on a low irradiance *** study designs a fractional-order proportional-integrated-derivative(FOPID)controller using deep learning(DL)with quasi-oppositional Archimedes Optimization algorithm(FOPID-QOAOA)for cascaded DC-DC converters in micro-grid *** presented FOPIDQOAOA model is designed to enhance the overall efficiency of the cascaded DC-DC boost *** addition,the proposed model develops a FOPID controller using a stacked sparse autoencoder(SSAE)model to regulate the converter output *** tune the hyper-parameters related to the SSAE model,the QOAOA is derived by the including of the quasi-oppositional based learning(QOBL)with traditional ***,an objective function with the including of the integral of time multiplied by squared error(ITSE)is considered in this *** validating the efficiency of the FOPID-QOAOA method,a sequence of simulations was performed under distinct aspects.A comparative study on cascaded buck and boost converters is carried out to authenticate the effectiveness and performance of the designed techniques.

关键词： Micro-grid deep learning archimedes optimization algorithm FOPID controller objective function

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Geochemistry and depositional environment of fuchsite quartzites from Sargur Group,western Dharwar Craton,India

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Acta Geochimica 2024年第3期43卷 555-570页

作者： C.S.Sindhuja G.harshitha C.Manikyamba K.S.V.Subramanyam CSIR(Council of Scientific and Industrial Research)-National Geophysical Research Institute(NGRI) Uppal RoadHyderabad 500007India

Meso-Neoarchean fuchsite quartzites are present in different stratigraphic positions of Dharwar Craton including the oldest(~3.3 Ga)Sargur Group of western Dharwar *** present study deals with the petro-graphic and geochemical characteristics of the fuchsite quartzites from the Ghattihosahalli belt to evaluate their genesis,depositional setting and the enigma involved in the ancient sedimentation *** major mineral assemblages include quartz,fuchsite,and feldspars along with accessory kyanite and *** geochemical com-positions are characterized by high SiO_(2),Al_(2)O_(3),low MgO,CaO,strongly enriched Cr(1326–6899 ppm),Ba(1165–3653 ppm),Sr(46–210 ppm),V(107–868 ppm)and Zn(11–158 ppm)contents compared to the upper continental crust(UCC).The UCC normalized rare earth element(REE)patterns are characterized by depleted light REE[(La/Sm)UCC=0.33–0.95]compared to heavy REE[(Gd/Yb)_(UCC)=0.42–1.65]with conspicuous positive Eu-anomalies(Eu/Eu^(*)=1.35–18.27)characteristic of hydrothermal solutions evidenced through the interlayered *** overall major and trace element systematics reflect a combined mafic-felsic provenance and suggest their deposition at a passive continental margin *** comprehensivefield,petrographic,and geo-chemical studies indicate that these quartzites are infiltrated by Cr-richfluids released during high-grade metamorphism of associated ultramafic *** Sargur and the subse-quent Dharwar orogeny amalgamated diverse lithounits from different tectonic settings,possibly leading to the release of Cr-richfluids and the formation of fuchsite quartzite during or after the *** sug-gest a pre-existing stable crust prior to the Sargur Group and the link between orogenic events and various mineral deposits in the Dharwar Craton.

关键词： Dharwar Craton Ghattihosahalli Fuchsite quartzite Provenance Depositional setting

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