http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Kumar Naresh,Patel Ravish,Tan Barry Wei Loong,Tan Jiong Hao,Pandita Naveen,Sonawane Dhiraj,Lopez Keith Gerard,Wai Khin Lay,Hey Hwee Weng Dennis,Kumar Aravind,Liu Gabriel Ka-Po 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.5
Study Design: Retrospective cohort study. Purpose: To study the incidence, onset, underlying mechanism, clinical course, and factors leading to asymptomatic construct failure (AsCF) after metastatic spinal tumor surgery (MSTS). Overview of Literature: The reported incidence rates for implant and/or construct failure after MSTS are low (1.9%–16%) and based on clinical presentations and revisions required for symptomatic failures (SFs). AsCF after MSTS has not been reported. Methods: We conducted a retrospective analysis of 288 patients (246 for final analysis) who underwent MSTS between 2005–2015. Data collected were demographics and peri/postoperative clinical and radiological features. Early and late radiological AsCF were defined as presentation before and after 3 months, respectively. We analyzed patients with AsCF for risk factors and survival duration by performing competing risk regression analyses where AsCF was the event of interest, with SF and death as competing events. Results: We observed AsCF in 41/246 patients (16.7%). The mean time to onset of AsCF after MSTS was 2 months (range, 1–9 months). Median survival of patients with AsCF was 20 and 41 months for early and late failures, respectively. Early AsCF accounted for 80.5% of cases, while late AsCF accounted for 19.5%. The commonest radiologically detectable AsCF mechanism was angular deformity (increase in kyphus) in 29 patients. Increasing age (p<0.02) and primary breast (13/41, 31.7%) (p<0.01) tumors were associated with higher AsCF rates. There was a non-significant trend towards AsCF in patients with a spinal instability neoplastic score ≥7, instrumentation across junctional regions, and construct lengths of 6–9 levels. None of the patients with AsCF underwent revision surgery. Conclusions: AsCF after MSTS is a distinct entity. Most patients with early AsCF did not require intervention. Patients who survived and maintained ambulation for longer periods had late failure. Increasing age and tumors with a better prognosis have a higher likelihood of developing AsCF. AsCF is not necessarily an indication for aggressive/urgent intervention.
Aravind Kumar Jukanti,Ramakrishna Bhatt,Ramavtar Sharma,Rajwant Kaur Kalia 한국작물학회 2015 Journal of crop science and biotechnology Vol.18 No.2
Cluster bean is an important legume crop of the arid and semi-arid regions of the world. In the present study, 140 germplasm lines of cluster bean were evaluated for agronomic and yield traits. Wide variation was observed among agronomic and yield-related traits among the accessions, making selection possible for different characters. High heritability (> 85%) coupled with high genetic advance (> 30%) was observed for yield per plant (TY), pods per cluster (PDSCL), and clusters on main branch (CLMN). Pod length (PDLT) and total pods per plant (TDP) explained 30% and 72% of variability in seed number per pod (SDN) and TY, respectively. Principal component analysis revealed significant variation among the characters with the first four principal components explaining about 70.8% of the total variation. Projecting the germplasm accession onto the first two principal components revealed two groups: (i) accessions showing high PDSCL, TPD, and TY and (ii) accessions having high SDN. Among the 140 germplasm lines evaluated, IC-421815 (TY - 31.5 g plant-1; TPD - 139.8; and PDSCL - 6.6) and IC-370563 (31.2 g plant-1, 134.0 and 7.4) were the best performing lines compared to the checks. The information presented in this manuscript would be used for cluster bean breeding.
( Patil Aravind Goud G. ),( Praveen Kumar S. K. ),( Veerappa H. Mulimani ),( Yaligara Veeranagouda ),( Kyoung Lee ) 한국미생물 · 생명공학회 2010 Journal of microbiology and biotechnology Vol.20 No.11
A bacterial strain capable of producing extracellular α- galactosidase was isolated from a sample of sugarcane industrial waste. Microbiological, physiological, and biochemical studies revealed that the isolate belonged to Bacillus sp. Furthermore, based on a 16S rDNA sequence analysis, the new isolate was identified as Bacillus megaterium VHM1. The production of α-galactosidase was optimized based on various physical culture conditions. Guar gum and yeast extract acted as the best carbon and nitrogen sources, respectively. The optimum pH was 7.5 and the enzyme remained stable over a pH range of 5-9. The enzyme was optimally active at 55oC and thermostable with a half-life of 120 min, yet lost 90% of its residual activity within 120 min at 60oC. One mM concentrations of Ag2, Cu2, and Hg2+ strongly inhibited the α-galactosidase, whereas the metal ions Fe2, Mn2+, and Mg2+ had no effect on the α-galactosidase activity, and Zn2+, Ni2+, and Ca2+ reduced the enzyme activity slightly. When treated with the B. megaterium VHM1 enzyme, the flatulence-causing sugars in soymilk were completely hydrolyzed within 1.5 h.
Jacobian Based Nonlinear Algorithms for Prediction of Optimized RF MEMS Switch Dimensions
Lakshmi Narayana Thalluri,M Aravind Kumar,Mohamed Sultan Mohamed Ali,N. Britto Martin Paul,K. Srinivasa Rao,Koushik Guha,S. S. Kiran 한국전기전자재료학회 2023 Transactions on Electrical and Electronic Material Vol.24 No.5
This communication discusses the role of nonlinear algorithms in training the neural network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, i.e., DrTLN-RF-MEMS-SWITCH-DATASET-v1, was created by considering the most appropriate input and output variable suitable to predict the cantilever dimensions, crab leg and serpentine structure-based RF MEMS switches. The distinct artificial neural networks (ANN) performance is analysed using various training methods. The hardware implementation possible neural network algorithms, i.e., Fitting and Cascade Feed Forward Network, are considered for learning and prediction. The ANN algorithm's performance in predicting and optimizing RF MEMS switch is analysed using nonlinear training methods like Levenberg–Marquardt (LM) and Scaled Conjugate Gradient (SCG). The cascaded forward network with LM training combination offers the best performance compared with other varieties. A comprehensive study is performed using neural networks and finite element simulation results. The study revealed that the error percentage is below 15.08% for most of the parameters.
Vijay G Goni,Aravind Hampannavar,Nirmal Raj Gopinathan,Paramjeet Singh,Pebam Sudesh,Rajesh Kumar Logithasan,Anurag Sharma,Shashidhar BK,Radheshyam Sament 대한척추외과학회 2014 Asian Spine Journal Vol.8 No.1
Study Design: Cross-sectional study. Purpose: The aim of the study was to determine relationship between the degrees of radiologically demonstrated anatomical lumbar canal stenosis using magnetic resonance imaging (MRI) and its correlation with the patient’s disability level, using the Oswestry Disability Index (ODI). Overview of Literature: The relationship between the imaging studies and clinical symptoms has been uncertain in patients suffering from symptomatic lumbar canal stenosis. There is a limited number of studies which correlates the degree of stenosis with simple reproducible scoring methods. Methods: Fifty patients were selected from 350 patients who fulfilled the inclusion criteria. The patients answered the nationallanguage translated form of ODI. The ratio of disability was interpreted, and the patients were grouped accordingly. They were subjected to MRI; and the anteroposterior diameters of the lumbar intervertebral disc spaces and the thecal sac cross sectional area were measured. Comparison was performed between the subdivisions of the degree of lumbar canal stenosis, based on the following: anteroposterior diameter (three groups: normal, relative stenosis and absolute stenosis); subdivisions of the degree of central canal stenosis, based on the thecal sac cross-sectional area, measured on axial views (three groups: normal, moderately stenotic and severely stenotic); and the ODI outcome, which was also presented in 20 percentiles. Results: No significant correlation was established between the radiologically depicted anatomical lumbar stenosis and the Oswestry Disability scores. Conclusions: Magnetic resonance imaging alone should not be considered in isolation when assessing and treating patients diagnosed with lumbar canal stenosis.
Smart City IoT System Network Level Routing Analysis and Blockchain Security Based Implementation
Bommu Samuyelu,M Aravind Kumar,Babburu Kiranmai,N Srikanth,Thalluri Lakshmi Narayana,G V. Ganesh,Gopalan Anitha,Mallapati Purna Kishore,Guha Koushik,Mohammad Hayath Rajvee,S S. Kiran 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
This paper demonstrates, network-level performance analysis and implementation of smart city Internet of Things (IoT) system with Infrastructure as a Service (IaaS) level cloud computing architecture. The smart city IoT network topology performance is analyzed at the simulation level using the NS3 simulator by extracting most of the performance-deciding parameters. The performance-enhanced smart city topology is practically implemented in IaaS level architecture. The intended smart city IoT system can monitor the principal parameters like video surveillance with a thermal camera (to identify the virus-like COVID-19 infected people), transport, water quality, solar radiation, sound pollution, air quality (O3, NO2, CO, Particles), parking zones, iconic places, E-suggestions, PRO information over low power wide area network in 61.88 km × 61.88 km range. Primarily we have addressed the IoT network-level routing and quality of service (QoS) challenges and implementation level security challenges. The simulation level network topology analysis is performed to improve the routing and QoS. Blockchain technology-based decentralization is adopted to enrich the IoT system performance in terms of security.