http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Film Diffusion Mechanism of Methyl Parathion in Biopolymers: Kinetics and Thermodynamic Equilibrium
Sadasivam, Senthilkumaar,Kandasamy, Krishna S.,Ponnusamy, Kalaamani,Subramaniam Nagarajan, Ganapathi,Kang, Tae Won American Chemical Society 2011 Journal of chemical and engineering data Vol.56 No.11
<P>Sulfuric acid treated biopolymers (STB) were prepared from a lignocellulosic-based agricultural byproduct. The STB has been used as an effective adsorbent in a batch experiment for the removal of methyl parathion (MP) from aqueous solution. The as-prepared STB has been characterized by using surface area analyzer, scanning electron microscope (SEM), elemental analyzer, and proximate analysis methods. A batch adsorption study was carried out to investigate the adsorption equilibrium, kinetics, and thermodynamics as a function of agitation time, initial concentration of MP, initial pH, temperature, and carbon dose. Adsorption data were used to perform the kinetic models. The adsorption data was found to obey the Langmuir adsorption isotherm. Thermodynamic parameters of the adsorption process Δ<I>G</I>, Δ<I>S</I>, and Δ<I>H</I> were calculated, and their negative values indicate the feasible exothermic and spontaneous nature of the process. The diffusion of the MP molecule onto the biopolymer was confirmed by using the Weber–Morris equation. Reichenberg's equation shows the film diffusion of MP.</P>
The genomic landscape associated with resistance to aromatase inhibitors in breast cancer
Kirithika Sadasivam,Jeevitha Priya Manoharan,Hema Palanisamy,Subramanian Vidyalakshmi Korea Genome Organization 2023 Genomics & informatics Vol.21 No.2
Aromatase inhibitors (AI) are drugs that are widely used in treating estrogen receptor (ER)-positive breast cancer patients. Drug resistance is a major obstacle to aromatase inhibition therapy. There are diverse reasons behind acquired AI resistance. This study aims at identifying the plausible cause of acquired AI resistance in patients administered with non-steroidal AIs (anastrozole and letrozole). We used genomic, transcriptomic, epigenetic, and mutation data of breast invasive carcinoma from The Cancer Genomic Atlas database. The data was then separated into sensitive and resistant sets based on patients' responsiveness to the non-steroidal AIs. A sensitive set of 150 patients and a resistant set of 172 patients were included for the study. These data were collectively analyzed to probe into the factors that might be responsible for AI resistance. We identified 17 differentially regulated genes (DEGs) among the two groups. Then, methylation, mutation, miRNA, copy number variation, and pathway analyses were performed for these DEGs. The top mutated genes (FGFR3, CDKN2A, RNF208, MAPK4, MAPK15, HSD3B1, CRYBB2, CDC20B, TP53TG5, and MAPK8IP3) were predicted. We also identified a key miRNA - hsa-mir-1264 regulating the expression of CDC20B. Pathway analysis revealed HSD3B1 to be involved in estrogen biosynthesis. This study reveals the involvement of key genes that might be associated with the development of AI resistance in ER-positive breast cancers and hence may act as a potential prognostic and diagnostic biomarker for these patients.
Face Representation and Face Recognition using Optimized Local Ternary Patterns (OLTP)
Raja, G. Madasamy,Sadasivam, V. The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.1
For many years, researchers in face description area have been representing and recognizing faces based on different methods that include subspace discriminant analysis, statistical learning and non-statistics based approach etc. But still automatic face recognition remains an interesting but challenging problem. This paper presents a novel and efficient face image representation method based on Optimized Local Ternary Pattern (OLTP) texture features. The face image is divided into several regions from which the OLTP texture feature distributions are extracted and concatenated into a feature vector that can act as face descriptor. The recognition is performed using nearest neighbor classification method with Chi-square distance as a similarity measure. Extensive experimental results on Yale B, ORL and AR face databases show that OLTP consistently performs much better than other well recognized texture models for face recognition.
Jo, Min Sung,Sadasivam, Karthikeyan Giri,Tawfik, Wael Z,Yang, Seung Bea,Lee, Jung Ju,Ha, Jun Seok,Moon, Young Boo,Ryu, Sang Wan,Lee, June Key American Scientific Publishers 2013 Journal of Nanoscience and Nanotechnology Vol.13 No.1
<P>n-type GaN epitaxial layers were regrown on the patterned n-type GaN substrate (PNS) with different size of silicon dioxide (SiO2) nano dots to improve the crystal quality and optical properties. PNS with SiO2 nano dots promotes epitaxial lateral overgrowth (ELOG) for defect reduction and also acts as a light scattering point. Transmission electron microscopy (TEM) analysis suggested that PNS with SiO2 nano dots have superior crystalline properties. Hall measurements indicated that incrementing values in electron mobility were clear indication of reduction in threading dislocation and it was confirmed by TEM analysis. Photoluminescence (PL) intensity was enhanced by 2.0 times and 3.1 times for 1-step and 2-step PNS, respectively.</P>
Nagaraj Pradeep,Prakash Sadasivam,Gurunathan Saravana Kumar,Murugaiyan Amirthalingam 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.4
Gas metal arc-based wire arc additive manufacturing (GMA-WAAM) is an attractive process for producing geometricallysimple and large-volume components. In this process, the arc energy and droplet transfer behaviour are primarily controlledby the current–voltage waveforms. Finite element analysis based on 3D transient gas metal arc heat source models has beenextensively used to derive mean process parameters and predict the thermal fields during GMA-WAAM. These models oftensimplify a complex current–voltage waveform by averaging it over a defined time period and use heat source efficiency,heat source parameters, and heat transfer co-efficient as fitting parameters. This simplification leads to inaccuracy in thepredictions of thermal fields. Therefore, a data-driven-based approach is proposed in this work to develop a physically-basedinstantaneous arc heat source model. This model is aimed to effectively describe a complex current–voltage waveform usedfor controlled dip short-circuiting transfer by adapting goldak’s double ellipsoidal arc heat source model. Instantaneousheat source parameters are derived from constant current waveform experiments corresponding to individual instances in ashort-circuiting current–voltage waveform. Arc energies are calculated as a function of instantaneous heat source parameterswhile depositing 1.2 mm diameter Al-Si12 (ER4047) wires on a pure aluminium substrate. Thermal fields are measured usingthese instantaneous parameters and validated with experimental observations. Results show that this data-driven approachpredicts the thermal fields with less than 1% relative error in the peak temperatures using the physically accurate heat sourceefficiency, heat source, and heat transfer parameters for a GMA-WAAM process.
Face Representation and Face Recognition using Optimized Local Ternary Patterns (OLTP)
G. Madasamy Raja,V. Sadasivam 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1
For many years, researchers in face description area have been representing and recognizing faces based on different methods that include subspace discriminant analysis, statistical learning and non-statistics based approach etc. But still automatic face recognition remains an interesting but challenging problem. This paper presents a novel and efficient face image representation method based on Optimized Local Ternary Pattern (OLTP) texture features. The face image is divided into several regions from which the OLTP texture feature distributions are extracted and concatenated into a feature vector that can act as face descriptor. The recognition is performed using nearest neighbor classification method with Chi-square distance as a similarity measure. Extensive experimental results on Yale B, ORL and AR face databases show that OLTP consistently performs much better than other well recognized texture models for face recognition.
Chella Gifta Christopher,Ramesh Gopal,Sasivaradhan Sadasivam,A. K. Devi Keerthika Esakki,P. Dinesh Kumar 한국콘크리트학회 2023 International Journal of Concrete Structures and M Vol.17 No.5
This study investigates the influence of steel and polyester fibers on the mechanical and durability properties of steel–polymer hybrid fiber reinforced concrete (HyFRC) and toughness under indirect tensile loading conditions. Steel and Polyester fibers are used as a single type (FRC) and in combination (HyFRC) in an M45 grade composite with the addition of fly ash and silica fume as a supplementary cementitious material. Steel as a single fiber exhibited a 10% improvement in compressive strength for a 0.75% volume fraction and a maximum of 14% improvement for a 0.5% volume fraction in comparison to plain concrete. The toughness under split tension capacity was enhanced between 26 and 72% for hybrid fibers in comparison with polyester fiber, and it was between 10 and 18% when compared to the steel fiber reinforcement. Water sorpitivity results were improved with the presence of hybrid fiber. Electrical resistivity decreases with the increase in fiber content and the addition of steel fiber in hybrid FRC increases the conductivity value 1.65–2.23 times greater than the control concrete because of the free movement of electrons.