http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Ramachandra Kurup Sasikala, Arathyram,Unnithan, Afeesh Rajan,Thomas, Reju George,Batgerel, Tumurbaatar,Jeong, Yong Yeon,Park, Chan Hee,Kim, Cheol Sang The Royal Society of Chemistry 2018 Nanoscale Vol.10 No.41
<P>In order to meet the unmet medical needs for effective cancer treatment, multifunctional nanocarriers based on iron oxide nanoparticles hold tremendous promise. Here we report a superparamagnetic iron oxide nanoparticles based hexa-functional nanosystem for synergistic cancer theranostic applications by offering active tumour targeting, accumulation and complementary imaging capability by combining magnetic resonance imaging as well as near-infrared fluorescence, magnetophotothermia and chemotherapy. The uniquely designed nanosystem exhibited a paramount increase in the antitumour efficacy through the simultaneous application of multiple thermal effects called magnetophotothermia, which outweighed the therapeutic efficacy of the current thermo-chemo therapies or stand-alone therapies. The active tumour-seeking property with prolonged tumour accumulation and complementary imaging capability with improved sensitivity and resolution also augments the therapeutic efficacy of the proposed nanosystem. Additionally, the work proposes a deep-learning-based tumour cell nuclei detection technique from H&E stained images in anticipation of providing much inspiration for the future of precision histology.</P>
Ramachandra Murthy A,M. Aravindan,P. Ganesh 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.65 No.3
This paper predicts the flexural behaviour of reinforced concrete (RC) beams strengthened with a precast strip of ultra-high performance fiber-reinforced concrete (UHPFRC). In the first phase, ultimate load capacity of preloaded and strengthened RC beams by UHPFRC was predicted by using various analytical models available in the literature. RC beams were preloaded under static loading approximately to 70%, 80% and 90% of ultimate load of control beams. The models such as modified Kaar and sectional analysis predicted the ultimate load in close agreement to the corresponding experimental observations. In the second phase, the famous fatigue life models such as Papakonstantinou model and Ferrier model were employed to predict the number of cycles to failure and the corresponding deflection. The models were used to predict the life of the (i) strengthened RC beams after subjecting them to different pre-loadings (70%, 80% and 90% of ultimate load) under static loading and (ii) strengthened RC beams after subjecting them to different preloading cycles under fatigue loading. In both the cases precast UHPFRC strip of 10 mm thickness is attached on the tension face. It is found that both the models predicted the number of cycles to failure and the corresponding deflection very close to the experimental values. It can be concluded that the models are found to be robust and reliable for cement based strengthening systems also. Further, the Wang model which is based on Palmgren-Miner’s rule is employed to predict the no. of cycles to failure and it is found that the predicted values are in very good agreement with the corresponding experimental observations.
Ramachandra Kurup Sasikala, Arathyram,Unnithan, Afeesh Rajan,Park, Chan Hee,Kim, Cheol Sang The Royal Society of Chemistry 2016 Journal of materials chemistry. B, Materials for b Vol.4 No.4
<P>Multifunctional magnetic nanoparticles have gained ample attention in the field of nanomedicine in recent years. Here, novel superparamagnetic core-shell manganese ferrite nanoparticles (MFNP)-encapsulated mesoporous silica nanoparticles (MSMFNPs) loaded with anticancer drug doxorubicin (DOX) for the combined application of hyperthermia and chemotherapy were developed and tested <I>in vitro</I>. Our results indicate that DOX-MSMFNPs achieved a favorable hyperthermic response in an alternating magnetic field in addition to cancer cell-specific cationic DOX release due to the cleavage of amide bonds under acidic pH, and synergistically contributed towards an enhanced tumoricidal effect.</P>
Hierarchical Graph Based Segmentation and Consensus based Human Tracking Technique
Ramachandra, Sunitha Madasi,Jayanna, Haradagere Siddaramaiah,Ramegowda, Ramegowda Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.1
Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.
Hydrolysis of Oils by Using Immobilized Lipase Enzyme: A Review
V. Ramachandra Murty,Jayadev Bhat,P. K. A. Muniswaran 한국생물공학회 2002 Biotechnology and Bioprocess Engineering Vol.7 No.2
This review focuses on the use of immobilized lipase technology for the hydrolysis of oils. The importance of lipase catalyzed fat splitting process, the various immobilization procedures, kinetics, deactivation kinetics, New immobilized lipases for chiral resolution, reactor configurations, and process considerations are all reviewed and discussed.
A. Ramachandra Murthy,S. Vishnuvardhan,M. Saravanan,P. Gandhi 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.72 No.1
Structural integrity assessment of piping components is of paramount important for remaining life prediction, residual strength evaluation and for in-service inspection planning. For accurate prediction of these, a reliable fracture parameter is essential. One of the fracture parameters is stress intensity factor (SIF), which is generally preferred for high strength materials, can be evaluated by using linear elastic fracture mechanics principles. To employ available analytical and numerical procedures for fracture analysis of piping components, it takes considerable amount of time and effort. In view of this, an alternative approach to analytical and finite element analysis, a model based on relevance vector machine (RVM) is developed to predict SIF of part through crack of a piping component under fatigue loading. RVM is based on probabilistic approach and regression and it is established based on Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Model for SIF prediction is developed by using MATLAB software wherein 70% of the data has been used for the development of RVM model and rest of the data is used for validation. The predicted SIF is found to be in good agreement with the corresponding analytical solution, and can be used for damage tolerant analysis of structural components.
Hydrolysis of Rice Bran Oil Using Immobilized Lipase in a Stirred Batch Reactor
V. Ramachandra Murty,Jayadev Bhat,P. K. A. Muniswaran 한국생물공학회 2002 Biotechnology and Bioprocess Engineering Vol.7 No.6
Candida cylindracea lipase was immobilized by adsorptiIt was observed that protein loading of the suport depends on the size of the particle, with smaller particle containing higher amount of protein per unit weight. Initial reaction rate linearly varied up to enzyme concentration of 17.25 U/mL. Amount of free faty acids produced was linearly proportional up to the enzyme loading of 1650 .g/g of bead. Achievement of chemical equilibrium took longer time in the case of les protein loading. Degree of hydrolysis was found to decrease in second and third consecutive batch operations on repeated use of immobilized lipase.
Prediction of fly ash concrete compressive strengths using soft computing techniques
Rajeshwari Ramachandra,Sukomal Mandal 사단법인 한국계산역학회 2020 Computers and Concrete, An International Journal Vol.25 No.1
The use of fly ash in modern-day concrete technology aiming sustainable constructions is on rapid rise. Fly ash, a spinoff from coal calcined thermal power plants with pozzolanic properties is used for cement replacement in concrete. Fly ash concrete is cost effective, which modifies and improves the fresh and hardened properties of concrete and additionally addresses the disposal and storage issues of fly ash. Soft computing techniques have gained attention in the civil engineering field which addresses the drawbacks of classical experimental and computational methods of determining the concrete compressive strength with varying percentages of fly ash. In this study, models based on soft computing techniques employed for the prediction of the compressive strengths of fly ash concrete are collected from literature. They are classified in a categorical way of concrete strengths such as control concrete, high strength concrete, high performance concrete, self-compacting concrete, and other concretes pertaining to the soft computing techniques usage. The performance of models in terms of statistical measures such as mean square error, root mean square error, coefficient of correlation, etc. has shown that soft computing techniques have potential applications for predicting the fly ash concrete compressive strengths.