Tritrophic Interactions of Cowpea [Vigna unguiculata subsp unguiculata(L.)], Aphids [Aphis craccivora (Koch)] and Coccinellids [Menochilus sexmaculatus (Fab.)] under eCO2 and eTemp

M. Srinivasa Rao,O. Shaila,P. Sreelakshmi,S. Vennila,M. Vanaja,A.V.M. Subba Rao,M. Maheswari,K. Sammi Reddy 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.2

Experiments were conducted to understand the direct and indirect effects of temperature and elevated CO2 (eCO2), on tritrophic interactions of cowpea (Vigna unguiculata subsp. unguiculata L.), legume aphid Aphis craccivora Koch and coccinellid predator Menochilus sexmaculatus Fab. Reduction of the leaf nitrogen (6%), amino acid (6%) and protein (7%) of cowpea foliage with increased carbon (13%) and C:N ratio (21%) at eCO2 over aCO2 indicated the dilution of biochemical constituents at first trophic level. Shortened development time, DT and increment of reproductive rate, RR at eCO2 over ambient CO2(aCO2)was significant with increase in temperature from 20 to 35 °C. Reduction of the mean degree day, DD requirement of both nymphal (75.79 ± 15.163) and adult stages (157.15 ± 67.04) at eCO2 over aCO2 and same was reflected in the summation DD for both the stages at eCO2 (232.96 ± 80.32)and aCO2 (247.07 ± 64.77) across six temperatures. The ‘rm’ and ‘Ro’ increased gradually with increase in temperature followed the non-linear trend and reached maximum values at 27 °C with shortened ‘T’ across 20 to 35 °C temperatures at eCO2 indicating the significant variation of growth and development at the second trophic level. Decreased grub duration (23%) with increased predation capacity (19%) of M. sexmaculatus on A. craccivora at eCO2 over ambient was noted, indicating the incidence of A. craccivora is likely to be higher with increased predation in the future climate change scenario.

Analysis of the morphometry and variations in the extensor digitorum brevis muscle: an anatomic guide for muscle flap and tendon transfer surgical dissection

Srinivasa Rao Sirasanagandla,Ravindra S. Swamy,Satheesha B. Nayak,Nagabhooshana S. Somayaji,Mohandas K. G. Rao,Kumar M. R. Bhat 대한해부학회 2013 Anatomy & Cell Biology Vol.46 No.3

The extensor digitorum brevis muscle (EDB) is a practical option for use as an island flap or free flap when reconstructing soft tissue defects in the ankle as well as in the entire lower limb. It is frequently used to correct crossover toe deformity and other painful toe disorders. We evaluated the morphometry of the EDB in 44 formalin-fixed limbs. Length and width of the muscles were measured. Surface area was calculated as the product of length and width of the muscle. The length of each tendon was also measured from its origin to the point of distal attachment. Presence of any additional tendons was noted. Mean length, width, and surface area of the muscle were 7.39±0.71 cm, 4.1±0.37 cm, and 30.5±4.78 cm2 on the right side and 7.2±0.84 cm, 3.9±0.37 cm, and 28.4±5.35 cm2 on the left side, respectively. Morphometry of the tendons revealed that the tendon of the great toe had the highest mean length (9.5 cm) and the tendon of the fourth toe had the lowest mean length (6.3 cm). Four of the limbs studied (9.09%) had only three tendons. Three of the limbs studied (6.81%) had five tendons, and in one exceptional case (2.27%), six tendons were detected. These observations have significant value and are applicable to plastic and orthopedic surgery.

An Efficient Semantic Ranked Keyword Search of Big Data Using Map Reduce

P. Srinivasa Rao,M.H.M. Krishna Prasad,K. Thammi Reddy 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6

Information retrieval is fast becoming the prevailing form of information access, surpassing traditional database style searching. Ontologies have become the tool of choice employed in many information retrieval systems and more prominently in semantic information retrieval. In order to overcome the disadvantages in key word based information retrieval systems, which transfer irrelevant information, ontology has been designed. A system with ontology mimics the real world, where every task is laced with certain meaning as this is basic idea behind knowledge processing. Hadoop, which is an open source frame work for storing and processing large datasets, is used for pre-processing the text documents. First, a set of text documents are considered. Pre-processing is performed on a large domain of data using Hadoop MapReduce. This includes the removal of the stop words along with stemming and excluding less frequency words. Despite this pre-processing, owing to the colossal number of index terms still floating in the considered domain data, the problem of high dimensionality is encountered. Therefore the dimensionality of such a group of terms is reduced by identifying it as a concept and those concepts can be viewed as a single dimension in a ontology based information retrieval system. Now ontology is constructed by assigning synonym set to each concept in this structure using tools like word net. Thus constructed ontology can be mapped on to the processed query which gives us the relevant information from the data pool considered.

Enhancing the photovoltaic performance and stability of QDSSCs using surface reinforced Pt nanostructures with controllable morphology and superior electrocatalysis <i>via</i> cost-effective chemical bath deposition

Srinivasa Rao, S.,Durga, Ikkurthi Kanaka,Kang, Tae-Su,Kim, Soo-Kyoung,Punnoose, Dinah,Gopi, Chandu V. V. M.,Eswar Reddy, Araveeti,Krishna, T. N. V.,Kim, Hee-Je The Royal Society of Chemistry 2016 Dalton Transactions Vol.45 No.8

<P>To make quantum-dot sensitized solar cells (QDSSCs) competitive, photovoltaic parameters such as the power conversion efficiency (PCE) and fill factor (FF) must become comparable to those of other emerging solar cell technologies. In the present study, a novel strategy has been successfully developed for a highly efficient surface-modified platinum (Pt) counter electrode (CE) with high catalytic activity and long-term stability in a polysulfide redox electrolyte. The reinforcement of the Pt surface was performed using a thin passivating layer of CuS, NiS, or CoS by simple chemical bath deposition techniques. This method was a more efficient method for reducing the electron recombination in QDSSCs. The optimized Pt/CuS CE shows a very low charge transfer resistance of 37.01 Omega, which is an order of magnitude lower than those of bare Pt (86.32 Omega), Pt/NiS (53.83 Omega), and Pt/CoS (73.51 Omega) CEs. Therefore, the Pt/CuS CEs show much greater catalytic activity in the polysulfide redox electrolyte than Pt, Pt/NiS and Pt/CoS CEs. As a result, under one-sun illumination (AM 1.5G, 100 mW cm(-2)), the Pt/CuS CE exhibits a PCE of 4.32%, which is higher than the values of 1.77%, 2.95%, and 3.25% obtained with bare Pt, Pt/CoS, and Pt/NiS CEs, respectively. The performance of the Pt/CuS CE was enhanced by the improved current density, Cu vacancies with increased S composition, and surface morphology, which enable rapid electron transport and lower the electron recombination rate for the polysulfide electrolyte redox couple. Electrochemical impedance spectroscopy and Tafel polarization revealed that the hybrid CEs reduce interfacial recombination and exhibit better electrochemical and photovoltaic performance compared with a bare Pt CE. The Pt/CuS CE also shows superior stability in the polysulfide electrolyte in a working state for over 10 h, resulting in a long-term electrode stability than Pt CE.</P>

Unilateral duplication of vas deferens: a cadaveric case report

Srinivasa Rao Sirasanagandla,Satheesha B. Nayak,Raghu Jetti,Kumar M. R. Bhat 대한해부학회 2013 Anatomy & Cell Biology Vol.46 No.1

Duplication of vas deferens is a rare congenital anomaly. All previously reported cases of this rare anomaly were identified during procedures such as orchiepexy, inguinal hernia repair, vasectomy, varicocoelectomy, and radical prostatectomy. Here, we report a case of unilateral duplicated vas deferens noted in an adult cadaver during regular dissection for medical students. The right spermatic cord contained 2 separate and completely developed cord-like structures. Both cords communicated separately with the tail of the epididymis. When traced cranially, both traversed the inguinal canal as content of the spermatic cord and finally fused at the level of the deep inguinal ring. No other variations were found in the testis or epididymis, and no variations were seen in the left spermatic cord. In addition, no associated renal abnormalities were noted.

Design modification and structural behavior study of a CFRP star sensor baffle

Vinyas, M.,Vishwas, M.,Venkatesha, C.S.,Rao, G. Srinivasa Techno-Press 2016 Advances in aircraft and spacecraft science Vol.3 No.4

Star sensors are the attitude estimation sensors of the satellite orbiting in its path. It gives information to the control station on the earth about where the satellite is heading towards. It captures the images of a predetermined reference star. By comparing this image with that of the one captured from the earth, exact position of the satellite is determined. In the process of imaging, stray lights are eliminated from reaching the optic lens by the mechanical enclosures of the star sensors called Baffles. Research in space domain in the last few years is mainly focused on increased payload capacity and reduction in launch cost. In this paper, a star sensor baffle made of Aluminium is considered for the study. In order to minimize the component weight, material wastage and to improve the structural performance, an alternate material to Aluminium is investigated. Carbon Fiber Reinforced Polymer is found to be a better substitute in this regard. Design optimisation studies are carried out by adopting suitable design modifications like implementing an additional L-shaped flange, Upward flange projections, downward flange projections etc. A better configuration of the baffle, satisfying the design requirements and achieving manufacturing feasibility is attained. Geometrical modeling of the baffle is done by using UNIGRAPHICS-Nx7.5(R). Structural behavior of the baffle is analysed by FE analysis such as normal mode analysis, linear static analysis, and linear buckling analysis using MSC/PATRAN(R), MSC-NASTRAN(R) as the solver to validate the stiffness, strength and stability requirements respectively. Effect of the layup sequence and the fiber orientation angle of the composite layup on the stiffness are also studied.

Effect of Gd Doping on the Structural and Magnetic Properties of Ni-Cu-Zn-Fe$_2$O$_4$

P. Venkata Srinivasa Rao,T. Anjaneyulu,M. Rami Reddy 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.75 No.4

Ni$_{0.5}$Cu$_{0.25}$Zn$_{0.25}$Gd$_x$Fe$_{2-x}$O$_4$ ($x$ = 0.0, 0.025, 0.05, 0.075, 0.1) ferrites were synthesized using an oxalic-based precursor method. A single phase Ni-Cu-Zn-Gd ferrite was observed from X-ray diffraction (XRD) data except for higher Gd content. For $x$ = 0.1, a secondary phase due GdFe$_2$O$_3$ was observed. The particle size was observed to decrease and the lattice constant to increase with increasing Gd doping concentration. The IR spectra confirmed the existence of bands corresponding to spinel ferrites. The IR band positions were observed to shift towards higher positions with increasing Gd doping concentration. The saturation magnetization, coercivity and remanence magnetization were observed to increase as a result of Gd doping. The substitution of Gd ions in the place of Fe ions resulted in changes in the structural and magnetic properties due to replacement of smaller ionic radii Fe ions by larger ionic radii Gd ions.

Empirical Investigations to Plant Leaf Disease Detection Based on Convolutional Neural Network

K. Anitha,M.Srinivasa Rao International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.6

Plant leaf diseases and destructive insects are major challenges that affect the agriculture production of the country. Accurate and fast prediction of leaf diseases in crops could help to build-up a suitable treatment technique while considerably reducing the economic and crop losses. In this paper, Convolutional Neural Network based model is proposed to detect leaf diseases of a plant in an efficient manner. Convolutional Neural Network (CNN) is the key technique in Deep learning mainly used for object identification. This model includes an image classifier which is built using machine learning concepts. Tensor Flow runs in the backend and Python programming is used in this model. Previous methods are based on various image processing techniques which are implemented in MATLAB. These methods lack the flexibility of providing good level of accuracy. The proposed system can effectively identify different types of diseases with its ability to deal with complex scenarios from a plant's area. Predictor model is used to precise the disease and showcase the accurate problem which helps in enhancing the noble employment of the farmers. Experimental results indicate that an accuracy of around 93% can be achieved using this model on a prepared Data Set.

Annealing Temperature Dependent Structural and Magnetic Properties of Ni-Cu-Zn Nanoferrites

P. Venkata Srinivasa Rao,T. Anjaneyulu,M. Rami Reddy 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.72 No.5

The effect of annealing temperature on the structural and the magnetic properties of Ni0.5Cu0.25Zn0.25Fe2O4 (Ni−Cu−Zn) nanoferrites synthesized using an oxalic-based precursor method was investigated in detail. A single phase of the Ni−Cu−Zn ferrite was observed from X-ray diffraction (XRD) data. From the XRD analysis, the grain size was found to increase with increasing annealing temperature from 500 to 800 °C whereas the lattice constant was found to decrease. The scanning electron microscope (SEM) analysis showed nanosize grains in the prepared samples. The magnetization analysis showed that the saturation magnetization (Ms) increased with increasing annealing temperature due to the increasing grain size whereas the coercivity (Hc) and the remanence magnetization (Mr) showed decreasing behaviors. The Curie temperature (TC) was measured for all samples. As the grain size increased the Curie temperature was also observed to increase. For these samples, the Curie temperatures lies between 426 K to 504 K. The dielectric constant (ε') was observed to be higher for these samples. The dielectric loss tangent increase slowly with increasing frequency till a particular frequency, after that it slowly decreased. Therefore the annealing temperature was observed to have a significant effect on the structural, magnetic and electrical properties of synthesized Ni−Cu−Zn ferrite.

Convolutional Neural Network Based Plant Leaf Disease Detection

K. Anitha,M.Srinivasa Rao International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.4

Plant leaf diseases and destructive insects are major challenges that affect the agriculture production of the country. Accurate and fast prediction of leaf diseases in crops could help to build-up a suitable treatment technique while considerably reducing the economic and crop losses. In this paper, Convolutional Neural Network based model is proposed to detect leaf diseases of a plant in an efficient manner. Convolutional Neural Network (CNN) is the key technique in Deep learning mainly used for object identification. This model includes an image classifier which is built using machine learning concepts. Tensor Flow runs in the backend and Python programming is used in this model. Previous methods are based on various image processing techniques which are implemented in MATLAB. These methods lack the flexibility of providing good level of accuracy. The proposed system can effectively identify different types of diseases with its ability to deal with complex scenarios from a plant's area. Predictor model is used to precise the disease and showcase the accurate problem which helps in enhancing the noble employment of the farmers. Experimental results indicate that an accuracy of around 93% can be achieved using this model on a prepared Data Set.