Henoch-Schonlein purpura(HSP) is a small vessel vasculitis mediated by type Ⅲ hypersensitivity with deposition of Ig A immune complex in the walls of vessels. It is a multi-system disorder characterizedby palpable pu...Henoch-Schonlein purpura(HSP) is a small vessel vasculitis mediated by type Ⅲ hypersensitivity with deposition of Ig A immune complex in the walls of vessels. It is a multi-system disorder characterizedby palpable purpura, arthritis, glomerulonephritis and gastrointestinal manifestations and commonly occurs in children and young adults. The patients with gastrointestinal involvement usually present with colicky abdominal pain, vomiting and melena. The imaging findings include multifocal bowel thickening with mucosal hyperenhancement, presence of skip areas, mesenteric vascular engorgement, with involvement of unusual sites like stomach, duodenum and rectum. These imaging findings in a child or young adult with appropriate clinical findings could suggest HSP.展开更多
Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early stages.Methylquinolinium iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the...Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early stages.Methylquinolinium iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the detection of citrate through Lewis acid-base reaction and intramolecular charge transfer(ICT)sensing mechanisms.Boronic acid acts as Lewis acid as well as citrate(Lewis base)recognition unit.The probe reacted with citrate,showing enhanced red emissions.Since the probe has excellent water solubility and great biocompatibility,practical application in biological systems is possible.Citrate was monitored precisely in the mitochondria organelle(in vitro)of living cells with a positive charge on QIB.Also,endogenous(in situ)citrate was detected quantitatively to discriminate non-cancerous and PC mice,observed strong and lower(negligible)emission intensity on non-cancerous and cancerous prostate tissues,respectively.Because,the concentration of citrate is higher in healthy prostate compared with PC prostate.Furthermore,the analysis of sliced prostate tissues can give PC-related information for clinical diagnosis to prevent and treat PC in the initial stages.Therefore,we believe that the present probe is a promising biochemical reagent in diagnosing PC.展开更多
Multilevel inverter has played a vital role in medium and high power applications in the recent years. In this paper, Reduced Switch Count Multi Level Inverter structure (RSCMLI) topology is presented with different p...Multilevel inverter has played a vital role in medium and high power applications in the recent years. In this paper, Reduced Switch Count Multi Level Inverter structure (RSCMLI) topology is presented with different pulse width modulation techniques. The harmonic level analysis is carried out for the reduced switch count multilevel inverter with the different PWM technique such as with Alternate Phase Opposition Disposition (APOD) method, In Phase Disposition (IPD) method and multi reference pulse width modulation method for five level, seven level , nine level and eleven level inverter. The simulation results are compared with the cascaded H Bridge Multi Level Inverter (CHBMLI). The nine level RSCMLI inverter with APOD method is used for the Distribution Static Synchronous Compensator (DSTATCOM) application in the nonlinear load connected system for power factor improvement. The result shows that the harmonic level and the number of switches required for RSCMLI is reduced compared to CHBMLI. RSCMLI employed in DSTATCOM improves the power factor and harmonic level of the system when it is connected to the nonlinear load.展开更多
This research work brings out the unique predictive current control method for attaining an efficient grid connected Photo Voltaic (PV) system by Shunt Active Power Filter (SAPF) as grid connected converter. The major...This research work brings out the unique predictive current control method for attaining an efficient grid connected Photo Voltaic (PV) system by Shunt Active Power Filter (SAPF) as grid connected converter. The major objective of the research work is to address the presence of Direct Current (DC) component, frequency improvement, quicker theta response, voltage magnitude estimation in the input signal of the Phase Locked Loop (PLL) which is challenging. This work focuses on tuning the PLL block (K<sub>p</sub>, K<sub>i</sub>, K<sub>v</sub> and K<sub>o</sub>) through Artificial Bee Colony (ABC) optimization algorithm. The proposed ABC based modified three-phase PLL method is based on adding a new loop inside the PLL structure. In power converters, ABC algorithm is used to select the optimal switching states. The voltage vector which minimizes a cost optimization function is selected. Simulation is carried out for both balanced and unbalanced system and the results validate that the performance of the proposed approach is better in terms of harmonic compensation as per the IEEE standards within ±5%, power factor improvement of the system, quicker theta tracking and suppression of frequency jump with the interconnection of PV system.展开更多
Remote sensing image(RSI)classifier roles a vital play in earth observation technology utilizing Remote sensing(RS)data are extremely exploited from both military and civil fields.More recently,as novel DL approaches ...Remote sensing image(RSI)classifier roles a vital play in earth observation technology utilizing Remote sensing(RS)data are extremely exploited from both military and civil fields.More recently,as novel DL approaches develop,techniques for RSI classifiers with DL have attained important breakthroughs,providing a new opportunity for the research and development of RSI classifiers.This study introduces an Improved Slime Mould Optimization with a graph convolutional network for the hyperspectral remote sensing image classification(ISMOGCN-HRSC)model.The ISMOGCN-HRSC model majorly concentrates on identifying and classifying distinct kinds of RSIs.In the presented ISMOGCN-HRSC model,the synergic deep learning(SDL)model is exploited to produce feature vectors.The GCN model is utilized for image classification purposes to identify the proper class labels of the RSIs.The ISMO algorithm is used to enhance the classification efficiency of the GCN method,which is derived by integrating chaotic concepts into the SMO algorithm.The experimental assessment of the ISMOGCN-HRSC method is tested using a benchmark dataset.展开更多
Soil samples in and around salt field area have been analyzed for natural radioactivity concentration using gamma ray spectrometer.The activity concentration for ^(232)Th,^(238)U and ^(40)K are ranged from 27.88 to 45...Soil samples in and around salt field area have been analyzed for natural radioactivity concentration using gamma ray spectrometer.The activity concentration for ^(232)Th,^(238)U and ^(40)K are ranged from 27.88 to 45.27 Bq/kg, from BDL to 13.30 Bq/kg,and from 135.54 to 381.28 Bq/kg,respectively.The measured activity concentrations for these radionuclides were compared with world average activity of soil.The average activity concentration of ^(232)Th in the present study is 1.19 times higher than world median value while the activity of ^(238)U and ^(40)K is found to be lower. The absorbed dose rates due to these radionuclides were calculated.The average absorbed gamma dose rate due to the presence of ^(232)Th,^(238)U and ^(40)K in soil samples is 36.99 nGy·h^(-1).These results indicate no radiological anomaly. The data presented in this study will serve as a base line survey for primordial radionuclides concentration in the study area.展开更多
Chondroblastoma is a rare benign cartilaginous neoplasm of bone. The recurrence rate is high and complications are frequent following open curettage with bone grafting which is the standard treatment forchondroblastom...Chondroblastoma is a rare benign cartilaginous neoplasm of bone. The recurrence rate is high and complications are frequent following open curettage with bone grafting which is the standard treatment forchondroblastomas. We performed radiofrequency ablation in three cases of tibialchondroblastoma using the bipolar system. One patient experienced residual pain for which repeat ablation was performed. No other complications were observed during follow-up. Radiofrequency ablation may offer an effective alternative for the treatment of selected cases of chondroblastoma. The lesion characteristics which are likely to influence treatment outcome and the advantages offered by the bipolar system are discussed.展开更多
Background:Hepatitis B virus(HBV)has affected over 300 million people worldwide which causes to induce mostly liver disease and liver cancer.It is a member of the family Hepadnaviridae which is a small DNA virus with ...Background:Hepatitis B virus(HBV)has affected over 300 million people worldwide which causes to induce mostly liver disease and liver cancer.It is a member of the family Hepadnaviridae which is a small DNA virus with unusual characters like retroviruses.Generally,hepatoprotective drugs provoke some side effects in human beings.For the reason,this study aims to identify alternative drug molecules from the natural source of medicinal plants with smaller quantity of side effects than those conventional drugs in treating HBV.Methods:We developed computational methods for calculating drug and target binding resemblance using the Maestro v10.2 of Schrodinger suite.The target and ligand molecules were obtained from recognized databases.Ligand molecules of 40 phytoconstituents were retrieved from variety of plants after we executed crucial analyses such as molecular docking and absorption,distribution,metabolism,and excretion(ADME)analysis.Results:In the docking analysis,the natural analogues repandusinic acid showed better docking scores of-14.768 with good binding contacts.The remaining bioactive molecules corilagin,furosin,nirurin,iso-quercetin and gallocatechin also showed better docking scores.Conclusions:This computational analysis reveals that repandusinic acid is a suitable drug candidate for HBV.Therefore,we recommend that this analogue is suitable in further exploration using in vitro studies.展开更多
In thefield of agriculture,the development of an early warning diagnostic system is essential for timely detection and accurate diagnosis of diseases in rice plants.This research focuses on identifying the plant diseas...In thefield of agriculture,the development of an early warning diagnostic system is essential for timely detection and accurate diagnosis of diseases in rice plants.This research focuses on identifying the plant diseases and detecting them promptly through the advancements in thefield of computer vision.The images obtained from in-field farms are typically with less visual information.However,there is a significant impact on the classification accuracy in the disease diagnosis due to the lack of high-resolution crop images.We propose a novel Reconstructed Disease Aware–Convolutional Neural Network(RDA-CNN),inspired by recent CNN architectures,that integrates image super resolution and classification into a single model for rice plant disease classification.This network takes low-resolution images of rice crops as input and employs the super resolution layers to transform low-resolution images to super-resolution images to recover appearance such as spots,rot,and lesion on different parts of the rice plants.Extensive experimental results indicated that the proposed RDA-CNN method performs well under diverse aspects generating visually pleasing images and outperforms better than other con-ventional Super Resolution(SR)methods.Furthermore,these super-resolution images are subsequently passed through deep classification layers for disease classi-fication.The results demonstrate that the RDA-CNN significantly boosts the clas-sification performance by nearly 4–6%compared with the baseline architectures.展开更多
Functionalized exfoliated graphene oxide (EGO) for supercapacitor electrodes have been synthesized by simple chemical methods from the exfoliated graphite (EG) as precursor. Structural and morphological characterizati...Functionalized exfoliated graphene oxide (EGO) for supercapacitor electrodes have been synthesized by simple chemical methods from the exfoliated graphite (EG) as precursor. Structural and morphological characterizations of EGO have been carried out using X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), FTIR and Raman spectroscopy. Electrochemical performance of these electrodes has been investigated using cyclic voltammetry, galvanostatic charge-discharge, and electrochemical impedance spectroscopy. The fabricated supercapacitor gave a specific capacitance of 146 Fg-1 and energy density of 20 Wh·kg-1 for a highly oxidized sample with more functional groups compared to pure, lower level oxidized and reduced samples. The single and multi layered graphene oxide sheets produced by this method have a lower degree of agglomeration. We found that the graphene oxide with functional oxygen groups of quinine type enhances the capacitance compared to other oxygen functional groups.展开更多
Imagine numerous clients,each with personal data;individual inputs are severely corrupt,and a server only concerns the collective,statistically essential facets of this data.In several data mining methods,privacy has ...Imagine numerous clients,each with personal data;individual inputs are severely corrupt,and a server only concerns the collective,statistically essential facets of this data.In several data mining methods,privacy has become highly critical.As a result,various privacy-preserving data analysis technologies have emerged.Hence,we use the randomization process to reconstruct composite data attributes accurately.Also,we use privacy measures to estimate how much deception is required to guarantee privacy.There are several viable privacy protections;however,determining which one is the best is still a work in progress.This paper discusses the difficulty of measuring privacy while also offering numerous random sampling procedures and statistical and categorized data results.Further-more,this paper investigates the use of arbitrary nature with perturbations in privacy preservation.According to the research,arbitrary objects(most notably random matrices)have"predicted"frequency patterns.It shows how to recover crucial information from a sample damaged by a random number using an arbi-trary lattice spectral selection strategy.Thisfiltration system's conceptual frame-work posits,and extensive practicalfindings indicate that sparse data distortions preserve relatively modest privacy protection in various situations.As a result,the research framework is efficient and effective in maintaining data privacy and security.展开更多
Parkinson’s disease is a neurogenerative disorder and it is difficult to diagnose as no therapies may slow down its progression.This paper contributes a novel analytic system for Parkinson’s Disease Prediction mecha...Parkinson’s disease is a neurogenerative disorder and it is difficult to diagnose as no therapies may slow down its progression.This paper contributes a novel analytic system for Parkinson’s Disease Prediction mechanism using Improved Radial Basis Function Neural Network(IRBFNN).Particle swarm optimization(PSO)with K-means is used to find the hidden neuron’s centers to improve the accuracy of IRBFNN.The performance of RBFNN is seriously affected by the centers of hidden neurons.Conventionally K-means was used to find the centers of hidden neurons.The problem of sensitiveness to the random initial centroid in K-means degrades the performance of RBFNN.Thus,a metaheuristic algorithm called PSO integrated with K-means alleviates initial random centroid and computes optimal centers for hidden neurons in IRBFNN.The IRBFNN uses Particle swarm optimization K-means to find the centers of hidden neurons and the PSO K-means was designed to evaluate the fitness measures such as Intracluster distance and Intercluster distance.Experimentation have been performed on three Parkinson’s datasets obtained from the UCI repository.The proposed IRBFNN is compared with other variations of RBFNN,conventional machine learning algorithms and other Parkinson’s Disease prediction algorithms.The proposed IRBFNN achieves an accuracy of 98.73%,98.47%and 99.03%for three Parkinson’s datasets taken for experimentation.The experimental results show that IRBFNN maximizes the accuracy in predicting Parkinson’s disease with minimum root mean square error.展开更多
B Elemental contents of beach rock samples were analyzed using EDXRF.The samples were collected from three locations of Andaman Island.The Al,Ca,K,Fe,Ti,Si,V,Co,Cu,Ba,Zn,Pb,Cd and Mn contents were determined.The geoch...B Elemental contents of beach rock samples were analyzed using EDXRF.The samples were collected from three locations of Andaman Island.The Al,Ca,K,Fe,Ti,Si,V,Co,Cu,Ba,Zn,Pb,Cd and Mn contents were determined.The geochemical behavior of elements in the region is discussed.The elemental contents of beach rock samples from Andaman Island are much below the values of both earth crust and that of Tamilnadu region.However,content of the biogenic element Ca was the highest of all elements.This is due to the typical beach rock formation.展开更多
A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking in...A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions.This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-com-merce.This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system.The feature selec-tion's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class.This will mitigate the feature vector's dimensionality by eliminating redundant,irrelevant,or noisy data.This work pre-sents a new hybrid recommender system based on optimized feature selection and systolic tree.The features were extracted using Term Frequency-Inverse Docu-ment Frequency(TF-IDF),feature selection with the utilization of River Forma-tion Dynamics(RFD),and the Particle Swarm Optimization(PSO)algorithm.The systolic tree is used for pattern mining,and based on this,the recommendations are given.The proposed methods were evaluated using the MovieLens dataset,and the experimental outcomes confirmed the efficiency of the techniques.It was observed that the RFD feature selection with systolic tree frequent pattern mining with collaborativefiltering,the precision of 0.89 was achieved.展开更多
Alzheimer’s disease(AD)is the most common progressive neurodegenerative disorder.It is often lethal and currently lacks a satisfactory therapy.The disease has a specific neuro-pathological profile:accumulation of pro...Alzheimer’s disease(AD)is the most common progressive neurodegenerative disorder.It is often lethal and currently lacks a satisfactory therapy.The disease has a specific neuro-pathological profile:accumulation of proteinaceous deposits in the brain–amyloid plaques(containingβ-amyloid peptides)and neurofibrillary tangles which are accumulation of a profusion of long stringy tangles of proteins called tau.Between the two highly recognized AD hypotheses,amyloid beta(Aβ)peptide aggregation and accumulation play a significant role and are considered as an important mechanism of AD pathology.Aβis a proteolytic product of amyloid precursor protein and genetic studies supported the relevance of Aβin AD pathogenesis.A large number of small molecules were studied for their ability to inhibit Aβ-aggregation in oligomer form or after fibrillization.However,the protein-misfolding process has certain setbacks which are inevitable due to the different morphology of protein.In recent years,it has been demonstrated that tau also plays a central role in pathogenesis of this disease.Moreover,abnormal post-translational modifications of tau,in particular,increases in acetylation at specific sites likely contribute to the toxicity of tau.Although it is evident that tau with these aberrant post-translational modifications likely facilitates neurodegeneration,the precise cellular mechanisms by which tau compromises neuronal function remain unknown.In addition,much remains to be learned about new interventions that might be developed to prevent or reduce the negative impact of tau posttranslational modifications-related damage.This review article addresses the key roles of amyloid beta and tau protein in AD as well as the possible therapeutic agents that can reduce the toxic levels of both the proteins,and thus providing beneficial effect for the AD patients.展开更多
The title compound,C 12 N 2 O 4 H 14 （M r=250.3）,crystallizes in triclinic P1 space group with a=7.7709（9）,b=8.7534（11）,c=9.6958（12）,α=77.103（2）,β=80.496（2）,γ=86.726（2）o,V=633.9（1） 3,Z=2,F（000）=26...The title compound,C 12 N 2 O 4 H 14 （M r=250.3）,crystallizes in triclinic P1 space group with a=7.7709（9）,b=8.7534（11）,c=9.6958（12）,α=77.103（2）,β=80.496（2）,γ=86.726（2）o,V=633.9（1） 3,Z=2,F（000）=264,D c=1.311 Mg/m 3,μ（MoKα）=0.1 mm-1,the final R=0.056,and wR=0.15 for 2239 observed reflections （I 2σ（Ⅰ））.The molecules in the crystal are linked through O-H···O type of hydrogen bonding interaction forming an infinite chainlike structure.The phenylhydrazone ring and oxobutanoate groups are almost planar.The keto hydrazo group adopts a Z-configuration in the molecule and the torsion angle is-177.6（2）°.展开更多
Integration of fuel cell stack with an inverter is complex in nature. A number of factors have to be taken into account in designing the inverter as well as during the integration. One of these factors is ripple curre...Integration of fuel cell stack with an inverter is complex in nature. A number of factors have to be taken into account in designing the inverter as well as during the integration. One of these factors is ripple current which could affect the life of the fuel cell stack if there is fuel and/or oxidant starvation. In this paper an inverter topology is investigated which significantly reduces or even nullifies the ripple content in the fuel cell system. The investigations have been carried out using indigenously developed 1 KW PEMFC stack and a 4 kW PEMFC stack with single and multi phase inverter. The results are presented here.展开更多
Amongst several biometric traits,Vein pattern biometric has drawn much attention among researchers and diverse users.It gains its importance due to its difficulty in reproduction and inherent security advantages.Many ...Amongst several biometric traits,Vein pattern biometric has drawn much attention among researchers and diverse users.It gains its importance due to its difficulty in reproduction and inherent security advantages.Many research papers have dealt with the topic of new generation biometric solutions such as iris and vein biometrics.However,most implementations have been based on small datasets due to the difficulties in obtaining samples.In this paper,a deeper study has been conducted on previously suggested methods based on Convolutional Neural Networks(CNN)using a larger dataset.Also,modifications are suggested for implementation using ensemble methods.Ensembles were used to reduce training time and cost by training multiple weak classifiers instead of a single,strong classifier.Classifiers used were CNN,Random Forest and Logistic Regression.An inexpensive and robust data acquisition system was also developed for obtaining the dataset.The obtained result shows an improved accuracy of 96.77%using ensemble method instead of dealing with a single classifier.展开更多
Objective:To monitor the response of gills of Cyprinus carpio var. communis to LC_(50) levels of ammonia over a period of 96 h by bath exposure, using scanning electron microscopy (SEM). Methods: Cyprinus carpio procu...Objective:To monitor the response of gills of Cyprinus carpio var. communis to LC_(50) levels of ammonia over a period of 96 h by bath exposure, using scanning electron microscopy (SEM). Methods: Cyprinus carpio procured from a local fish farm in Vadalore, Cuddalore District, Tamil Nadu, India were acclimatized under laboratory conditions for 20 d. Fish were placed into experimental tanks with 20 L of water and 22 mg/L ammonia. A total of 10 fish were collected from each experimental tank every 24 h for histopathological studies. Results:Histopathological studies showed these changes in the gills:secondary lamellar fusion, haemorrhage, oedema, epithelial hyperplasia, and chloride cell proliferation. Occasionally, multifocal necrosis of inter-lamellar regions of gill filaments but with no apparent haemorrhage was observed under electron microscopy. Conclusion:The present study shows that histopathological and ultrastructural alterations in gills are useful indicators for ammonia toxicity in Cyprinus carpio.展开更多
Single crystals of La4Mo7O27 have been successfully grown by the flux growth method H3BO3 as the flux in a plantium crucible using the starting materials of La2O3, H3BO3 and MoO3 in a molar ratio of 0.16:0.16:0.68, in...Single crystals of La4Mo7O27 have been successfully grown by the flux growth method H3BO3 as the flux in a plantium crucible using the starting materials of La2O3, H3BO3 and MoO3 in a molar ratio of 0.16:0.16:0.68, in which H3BO3 acted as a flux. Transparent colorless crystals were obtained with size of 0.8 × 0.3 × 0.2 mm3 under the optimized crystal growth conditions: growth temperature of 727°C, growth time of 95 h and cooling rate of 0.5°C/hr. A well-developed morphology of the crystals was observed and analyzed. The preparation process of starting materials on crystal growth was investigated. The grown crystals were characterized by powder X-ray diffraction (PXRD), EDAX, SEM, UV-Vis, photoluminescence studies, thermal analysis, dielectric studies and second harmonic generation (SHG). The results are presented and discussed.展开更多
文摘Henoch-Schonlein purpura(HSP) is a small vessel vasculitis mediated by type Ⅲ hypersensitivity with deposition of Ig A immune complex in the walls of vessels. It is a multi-system disorder characterizedby palpable purpura, arthritis, glomerulonephritis and gastrointestinal manifestations and commonly occurs in children and young adults. The patients with gastrointestinal involvement usually present with colicky abdominal pain, vomiting and melena. The imaging findings include multifocal bowel thickening with mucosal hyperenhancement, presence of skip areas, mesenteric vascular engorgement, with involvement of unusual sites like stomach, duodenum and rectum. These imaging findings in a child or young adult with appropriate clinical findings could suggest HSP.
基金financially supported by the National Natural Science Foundation of China(No.22150410327)the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science,ICT&Future Planning(No.2020R1A2C1102741).
文摘Prostate cancer(PC)biomarker-citrate detection is clinically important to diagnose PC in early stages.Methylquinolinium iodide(Q)conjugated indole-phenylboronic acid(IB)was designed as a red-emissive QIB probe for the detection of citrate through Lewis acid-base reaction and intramolecular charge transfer(ICT)sensing mechanisms.Boronic acid acts as Lewis acid as well as citrate(Lewis base)recognition unit.The probe reacted with citrate,showing enhanced red emissions.Since the probe has excellent water solubility and great biocompatibility,practical application in biological systems is possible.Citrate was monitored precisely in the mitochondria organelle(in vitro)of living cells with a positive charge on QIB.Also,endogenous(in situ)citrate was detected quantitatively to discriminate non-cancerous and PC mice,observed strong and lower(negligible)emission intensity on non-cancerous and cancerous prostate tissues,respectively.Because,the concentration of citrate is higher in healthy prostate compared with PC prostate.Furthermore,the analysis of sliced prostate tissues can give PC-related information for clinical diagnosis to prevent and treat PC in the initial stages.Therefore,we believe that the present probe is a promising biochemical reagent in diagnosing PC.
文摘Multilevel inverter has played a vital role in medium and high power applications in the recent years. In this paper, Reduced Switch Count Multi Level Inverter structure (RSCMLI) topology is presented with different pulse width modulation techniques. The harmonic level analysis is carried out for the reduced switch count multilevel inverter with the different PWM technique such as with Alternate Phase Opposition Disposition (APOD) method, In Phase Disposition (IPD) method and multi reference pulse width modulation method for five level, seven level , nine level and eleven level inverter. The simulation results are compared with the cascaded H Bridge Multi Level Inverter (CHBMLI). The nine level RSCMLI inverter with APOD method is used for the Distribution Static Synchronous Compensator (DSTATCOM) application in the nonlinear load connected system for power factor improvement. The result shows that the harmonic level and the number of switches required for RSCMLI is reduced compared to CHBMLI. RSCMLI employed in DSTATCOM improves the power factor and harmonic level of the system when it is connected to the nonlinear load.
文摘This research work brings out the unique predictive current control method for attaining an efficient grid connected Photo Voltaic (PV) system by Shunt Active Power Filter (SAPF) as grid connected converter. The major objective of the research work is to address the presence of Direct Current (DC) component, frequency improvement, quicker theta response, voltage magnitude estimation in the input signal of the Phase Locked Loop (PLL) which is challenging. This work focuses on tuning the PLL block (K<sub>p</sub>, K<sub>i</sub>, K<sub>v</sub> and K<sub>o</sub>) through Artificial Bee Colony (ABC) optimization algorithm. The proposed ABC based modified three-phase PLL method is based on adding a new loop inside the PLL structure. In power converters, ABC algorithm is used to select the optimal switching states. The voltage vector which minimizes a cost optimization function is selected. Simulation is carried out for both balanced and unbalanced system and the results validate that the performance of the proposed approach is better in terms of harmonic compensation as per the IEEE standards within ±5%, power factor improvement of the system, quicker theta tracking and suppression of frequency jump with the interconnection of PV system.
文摘Remote sensing image(RSI)classifier roles a vital play in earth observation technology utilizing Remote sensing(RS)data are extremely exploited from both military and civil fields.More recently,as novel DL approaches develop,techniques for RSI classifiers with DL have attained important breakthroughs,providing a new opportunity for the research and development of RSI classifiers.This study introduces an Improved Slime Mould Optimization with a graph convolutional network for the hyperspectral remote sensing image classification(ISMOGCN-HRSC)model.The ISMOGCN-HRSC model majorly concentrates on identifying and classifying distinct kinds of RSIs.In the presented ISMOGCN-HRSC model,the synergic deep learning(SDL)model is exploited to produce feature vectors.The GCN model is utilized for image classification purposes to identify the proper class labels of the RSIs.The ISMO algorithm is used to enhance the classification efficiency of the GCN method,which is derived by integrating chaotic concepts into the SMO algorithm.The experimental assessment of the ISMOGCN-HRSC method is tested using a benchmark dataset.
文摘Soil samples in and around salt field area have been analyzed for natural radioactivity concentration using gamma ray spectrometer.The activity concentration for ^(232)Th,^(238)U and ^(40)K are ranged from 27.88 to 45.27 Bq/kg, from BDL to 13.30 Bq/kg,and from 135.54 to 381.28 Bq/kg,respectively.The measured activity concentrations for these radionuclides were compared with world average activity of soil.The average activity concentration of ^(232)Th in the present study is 1.19 times higher than world median value while the activity of ^(238)U and ^(40)K is found to be lower. The absorbed dose rates due to these radionuclides were calculated.The average absorbed gamma dose rate due to the presence of ^(232)Th,^(238)U and ^(40)K in soil samples is 36.99 nGy·h^(-1).These results indicate no radiological anomaly. The data presented in this study will serve as a base line survey for primordial radionuclides concentration in the study area.
文摘Chondroblastoma is a rare benign cartilaginous neoplasm of bone. The recurrence rate is high and complications are frequent following open curettage with bone grafting which is the standard treatment forchondroblastomas. We performed radiofrequency ablation in three cases of tibialchondroblastoma using the bipolar system. One patient experienced residual pain for which repeat ablation was performed. No other complications were observed during follow-up. Radiofrequency ablation may offer an effective alternative for the treatment of selected cases of chondroblastoma. The lesion characteristics which are likely to influence treatment outcome and the advantages offered by the bipolar system are discussed.
文摘Background:Hepatitis B virus(HBV)has affected over 300 million people worldwide which causes to induce mostly liver disease and liver cancer.It is a member of the family Hepadnaviridae which is a small DNA virus with unusual characters like retroviruses.Generally,hepatoprotective drugs provoke some side effects in human beings.For the reason,this study aims to identify alternative drug molecules from the natural source of medicinal plants with smaller quantity of side effects than those conventional drugs in treating HBV.Methods:We developed computational methods for calculating drug and target binding resemblance using the Maestro v10.2 of Schrodinger suite.The target and ligand molecules were obtained from recognized databases.Ligand molecules of 40 phytoconstituents were retrieved from variety of plants after we executed crucial analyses such as molecular docking and absorption,distribution,metabolism,and excretion(ADME)analysis.Results:In the docking analysis,the natural analogues repandusinic acid showed better docking scores of-14.768 with good binding contacts.The remaining bioactive molecules corilagin,furosin,nirurin,iso-quercetin and gallocatechin also showed better docking scores.Conclusions:This computational analysis reveals that repandusinic acid is a suitable drug candidate for HBV.Therefore,we recommend that this analogue is suitable in further exploration using in vitro studies.
文摘In thefield of agriculture,the development of an early warning diagnostic system is essential for timely detection and accurate diagnosis of diseases in rice plants.This research focuses on identifying the plant diseases and detecting them promptly through the advancements in thefield of computer vision.The images obtained from in-field farms are typically with less visual information.However,there is a significant impact on the classification accuracy in the disease diagnosis due to the lack of high-resolution crop images.We propose a novel Reconstructed Disease Aware–Convolutional Neural Network(RDA-CNN),inspired by recent CNN architectures,that integrates image super resolution and classification into a single model for rice plant disease classification.This network takes low-resolution images of rice crops as input and employs the super resolution layers to transform low-resolution images to super-resolution images to recover appearance such as spots,rot,and lesion on different parts of the rice plants.Extensive experimental results indicated that the proposed RDA-CNN method performs well under diverse aspects generating visually pleasing images and outperforms better than other con-ventional Super Resolution(SR)methods.Furthermore,these super-resolution images are subsequently passed through deep classification layers for disease classi-fication.The results demonstrate that the RDA-CNN significantly boosts the clas-sification performance by nearly 4–6%compared with the baseline architectures.
文摘Functionalized exfoliated graphene oxide (EGO) for supercapacitor electrodes have been synthesized by simple chemical methods from the exfoliated graphite (EG) as precursor. Structural and morphological characterizations of EGO have been carried out using X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), FTIR and Raman spectroscopy. Electrochemical performance of these electrodes has been investigated using cyclic voltammetry, galvanostatic charge-discharge, and electrochemical impedance spectroscopy. The fabricated supercapacitor gave a specific capacitance of 146 Fg-1 and energy density of 20 Wh·kg-1 for a highly oxidized sample with more functional groups compared to pure, lower level oxidized and reduced samples. The single and multi layered graphene oxide sheets produced by this method have a lower degree of agglomeration. We found that the graphene oxide with functional oxygen groups of quinine type enhances the capacitance compared to other oxygen functional groups.
文摘Imagine numerous clients,each with personal data;individual inputs are severely corrupt,and a server only concerns the collective,statistically essential facets of this data.In several data mining methods,privacy has become highly critical.As a result,various privacy-preserving data analysis technologies have emerged.Hence,we use the randomization process to reconstruct composite data attributes accurately.Also,we use privacy measures to estimate how much deception is required to guarantee privacy.There are several viable privacy protections;however,determining which one is the best is still a work in progress.This paper discusses the difficulty of measuring privacy while also offering numerous random sampling procedures and statistical and categorized data results.Further-more,this paper investigates the use of arbitrary nature with perturbations in privacy preservation.According to the research,arbitrary objects(most notably random matrices)have"predicted"frequency patterns.It shows how to recover crucial information from a sample damaged by a random number using an arbi-trary lattice spectral selection strategy.Thisfiltration system's conceptual frame-work posits,and extensive practicalfindings indicate that sparse data distortions preserve relatively modest privacy protection in various situations.As a result,the research framework is efficient and effective in maintaining data privacy and security.
文摘Parkinson’s disease is a neurogenerative disorder and it is difficult to diagnose as no therapies may slow down its progression.This paper contributes a novel analytic system for Parkinson’s Disease Prediction mechanism using Improved Radial Basis Function Neural Network(IRBFNN).Particle swarm optimization(PSO)with K-means is used to find the hidden neuron’s centers to improve the accuracy of IRBFNN.The performance of RBFNN is seriously affected by the centers of hidden neurons.Conventionally K-means was used to find the centers of hidden neurons.The problem of sensitiveness to the random initial centroid in K-means degrades the performance of RBFNN.Thus,a metaheuristic algorithm called PSO integrated with K-means alleviates initial random centroid and computes optimal centers for hidden neurons in IRBFNN.The IRBFNN uses Particle swarm optimization K-means to find the centers of hidden neurons and the PSO K-means was designed to evaluate the fitness measures such as Intracluster distance and Intercluster distance.Experimentation have been performed on three Parkinson’s datasets obtained from the UCI repository.The proposed IRBFNN is compared with other variations of RBFNN,conventional machine learning algorithms and other Parkinson’s Disease prediction algorithms.The proposed IRBFNN achieves an accuracy of 98.73%,98.47%and 99.03%for three Parkinson’s datasets taken for experimentation.The experimental results show that IRBFNN maximizes the accuracy in predicting Parkinson’s disease with minimum root mean square error.
文摘B Elemental contents of beach rock samples were analyzed using EDXRF.The samples were collected from three locations of Andaman Island.The Al,Ca,K,Fe,Ti,Si,V,Co,Cu,Ba,Zn,Pb,Cd and Mn contents were determined.The geochemical behavior of elements in the region is discussed.The elemental contents of beach rock samples from Andaman Island are much below the values of both earth crust and that of Tamilnadu region.However,content of the biogenic element Ca was the highest of all elements.This is due to the typical beach rock formation.
文摘A recommender system is an approach performed by e-commerce for increasing smooth users’experience.Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions.This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-com-merce.This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system.The feature selec-tion's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class.This will mitigate the feature vector's dimensionality by eliminating redundant,irrelevant,or noisy data.This work pre-sents a new hybrid recommender system based on optimized feature selection and systolic tree.The features were extracted using Term Frequency-Inverse Docu-ment Frequency(TF-IDF),feature selection with the utilization of River Forma-tion Dynamics(RFD),and the Particle Swarm Optimization(PSO)algorithm.The systolic tree is used for pattern mining,and based on this,the recommendations are given.The proposed methods were evaluated using the MovieLens dataset,and the experimental outcomes confirmed the efficiency of the techniques.It was observed that the RFD feature selection with systolic tree frequent pattern mining with collaborativefiltering,the precision of 0.89 was achieved.
基金Guha S wishes to thank UR PDA Career Enhancement Award 2020 for covering the subscription fee of bio-render and other bureaucratic cost.Subramaniyam R wishes to thank DST-inspire program for the research grant(No.DST/INSPIRE/04/2015/001945).
文摘Alzheimer’s disease(AD)is the most common progressive neurodegenerative disorder.It is often lethal and currently lacks a satisfactory therapy.The disease has a specific neuro-pathological profile:accumulation of proteinaceous deposits in the brain–amyloid plaques(containingβ-amyloid peptides)and neurofibrillary tangles which are accumulation of a profusion of long stringy tangles of proteins called tau.Between the two highly recognized AD hypotheses,amyloid beta(Aβ)peptide aggregation and accumulation play a significant role and are considered as an important mechanism of AD pathology.Aβis a proteolytic product of amyloid precursor protein and genetic studies supported the relevance of Aβin AD pathogenesis.A large number of small molecules were studied for their ability to inhibit Aβ-aggregation in oligomer form or after fibrillization.However,the protein-misfolding process has certain setbacks which are inevitable due to the different morphology of protein.In recent years,it has been demonstrated that tau also plays a central role in pathogenesis of this disease.Moreover,abnormal post-translational modifications of tau,in particular,increases in acetylation at specific sites likely contribute to the toxicity of tau.Although it is evident that tau with these aberrant post-translational modifications likely facilitates neurodegeneration,the precise cellular mechanisms by which tau compromises neuronal function remain unknown.In addition,much remains to be learned about new interventions that might be developed to prevent or reduce the negative impact of tau posttranslational modifications-related damage.This review article addresses the key roles of amyloid beta and tau protein in AD as well as the possible therapeutic agents that can reduce the toxic levels of both the proteins,and thus providing beneficial effect for the AD patients.
文摘The title compound,C 12 N 2 O 4 H 14 （M r=250.3）,crystallizes in triclinic P1 space group with a=7.7709（9）,b=8.7534（11）,c=9.6958（12）,α=77.103（2）,β=80.496（2）,γ=86.726（2）o,V=633.9（1） 3,Z=2,F（000）=264,D c=1.311 Mg/m 3,μ（MoKα）=0.1 mm-1,the final R=0.056,and wR=0.15 for 2239 observed reflections （I 2σ（Ⅰ））.The molecules in the crystal are linked through O-H···O type of hydrogen bonding interaction forming an infinite chainlike structure.The phenylhydrazone ring and oxobutanoate groups are almost planar.The keto hydrazo group adopts a Z-configuration in the molecule and the torsion angle is-177.6（2）°.
文摘Integration of fuel cell stack with an inverter is complex in nature. A number of factors have to be taken into account in designing the inverter as well as during the integration. One of these factors is ripple current which could affect the life of the fuel cell stack if there is fuel and/or oxidant starvation. In this paper an inverter topology is investigated which significantly reduces or even nullifies the ripple content in the fuel cell system. The investigations have been carried out using indigenously developed 1 KW PEMFC stack and a 4 kW PEMFC stack with single and multi phase inverter. The results are presented here.
文摘Amongst several biometric traits,Vein pattern biometric has drawn much attention among researchers and diverse users.It gains its importance due to its difficulty in reproduction and inherent security advantages.Many research papers have dealt with the topic of new generation biometric solutions such as iris and vein biometrics.However,most implementations have been based on small datasets due to the difficulties in obtaining samples.In this paper,a deeper study has been conducted on previously suggested methods based on Convolutional Neural Networks(CNN)using a larger dataset.Also,modifications are suggested for implementation using ensemble methods.Ensembles were used to reduce training time and cost by training multiple weak classifiers instead of a single,strong classifier.Classifiers used were CNN,Random Forest and Logistic Regression.An inexpensive and robust data acquisition system was also developed for obtaining the dataset.The obtained result shows an improved accuracy of 96.77%using ensemble method instead of dealing with a single classifier.
基金Supported by the Annamalai University Grants Commission[39-562/2010(SR)].
文摘Objective:To monitor the response of gills of Cyprinus carpio var. communis to LC_(50) levels of ammonia over a period of 96 h by bath exposure, using scanning electron microscopy (SEM). Methods: Cyprinus carpio procured from a local fish farm in Vadalore, Cuddalore District, Tamil Nadu, India were acclimatized under laboratory conditions for 20 d. Fish were placed into experimental tanks with 20 L of water and 22 mg/L ammonia. A total of 10 fish were collected from each experimental tank every 24 h for histopathological studies. Results:Histopathological studies showed these changes in the gills:secondary lamellar fusion, haemorrhage, oedema, epithelial hyperplasia, and chloride cell proliferation. Occasionally, multifocal necrosis of inter-lamellar regions of gill filaments but with no apparent haemorrhage was observed under electron microscopy. Conclusion:The present study shows that histopathological and ultrastructural alterations in gills are useful indicators for ammonia toxicity in Cyprinus carpio.
文摘Single crystals of La4Mo7O27 have been successfully grown by the flux growth method H3BO3 as the flux in a plantium crucible using the starting materials of La2O3, H3BO3 and MoO3 in a molar ratio of 0.16:0.16:0.68, in which H3BO3 acted as a flux. Transparent colorless crystals were obtained with size of 0.8 × 0.3 × 0.2 mm3 under the optimized crystal growth conditions: growth temperature of 727°C, growth time of 95 h and cooling rate of 0.5°C/hr. A well-developed morphology of the crystals was observed and analyzed. The preparation process of starting materials on crystal growth was investigated. The grown crystals were characterized by powder X-ray diffraction (PXRD), EDAX, SEM, UV-Vis, photoluminescence studies, thermal analysis, dielectric studies and second harmonic generation (SHG). The results are presented and discussed.
