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Statistical optimization of lignocellulosic waste containing culture medium for enhanced production of cellulase by Bacillus tequilensis G9

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Waste disposal and Sustainable Energy 2019年第3期1卷 213-226页

作者： Mudasir A.dar kiran d.pawar Jyoti M.Chintalchere Radhakrishna S.Pandit department of Zoology Savitribai Phule Pune UniversityGaneshkhindPuneMaharashtra 411007India School of Nanoscience and Biotechnology Shivaji UniversityVidyanagarKolhapurMaharashtra 416004India

The ever increasing energy demands of modern civilization and rapidly dwindling fossil fuels point towards a renewable substitute like ***,higher costs associated with biofuel productions is the major bottleneck for its *** present study demonstrates the use of a statistical approach called response surface methodology(RSM)to investigate the optimum parameters for maximum production of cellulase by Bacillus tequilensis *** Plackett-Bur-man design(PB)of the RSM analysis indicated grass straw(GS)concentration,pH,FeSO4,inoculum,MgSO4,incubation period and NH4Cl as significant variables that influence the cellulase ***,to propose the best medium for the maximum production of cellulase by *** G9,the most influential parameters,namely concentrations of GS as substrate,FeSO4,pH,inoculum size,*** fine-tuned by central composite design(CCd)involving four factors and five *** CCd analysis demonstrated 8%substrate concentration,1.5%of inoculum along with 10 ppm FeSO4 and a pH of 5.5 in media as optimum conditions for highest enzyme *** field emission scanning electron microscopic analysis of the treated GS showed structural alterations depicting significant deconstruction caused by *** *** yield of the partially purified cellulase proteins were found to be 21%revealing molecular mass between 30 and 97 *** enhanced cellulase production by *** G9 demonstrated in our study brands its applications in many industrial processes like biorefinery,biofuels,etc.

关键词： Bacillus tequilensis G9 Cellulase production Plackett-Burman design Central composite design RSM Saccharification

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differently synthesized gold nanoparticles respond differently to functionalization with L-amino acids

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Particuology 2020年第5期18卷 97-104页

作者： darshana V.Havaldar Reshma V.Patil disha N.Moholkar Priyanka S.Magdum Akash P.Vadrale kiran d.pawar School of Nanoscience and Biotechnology Shivaji UniversityKolhapurMaharashtraIndia

The potential utility of gold nanoparticles(AuNPs)synthesized via different methods for biomedical applications vary greatly due to inherent differences in their surface *** the present study,we investigated the functionalization of AuNPs synthesized by chemical reduction,plant extract,and bacteria-mediated methods with 22 L-amino *** produced by bacteria-mediated(B_AuNPs)and plant-mediated(P_AuNPs)methods showed good potential,as they were able to be functionalized with six(histidine,lysine,methionine,phenylalanine,tryptophan,and tyrosine)and four(cystine,tryptophan,tyrosine,and valine)amino acids,*** contrast,AuNPs produced by chemical reduction(C_AuNPs)were not found to be suitable for *** functionalization conditions were found to be amino acid concentration of 20-25 mM and neutral pH(7)for P_AuNPs,whereas B_AuNPs tolerated more variable *** electrophoretic mobility of P_AuNPs after functionalization indicated that these nanoparticles were less sensitive than B_AuNPs to the deviations from optimal conditions.A significant change in mobility was observed when B_AuNPs were functionalized with either methionine or ***,the results of this study suggest that the suitability of the three differently synthesized AuNPs with amino acids is in the following order:B_AuNPs>P_AuNPs>C_AuNPs.

关键词： Gold nanoparticles Biogenic synthesis Amino acids Functionalization Electrophoretic mobility

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Ultra‑Transparent and Multifunctional IZVO Mesh Electrodes for Next‑Generation Flexible Optoelectronics

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Nano-Micro Letters 2025年第1期17卷 293-309页

作者： kiran A.Nirmal Tukaram d.dongale Atul C.Khot Chenjie Yao Nahyun Kim Tae Geun Kim School of Electrical Engineering Korea UniversityAnam‑ro 145Seongbuk‑guSeoulRepublic of Korea Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India

Mechanically durable transparent electrodes are essential for achieving long-term stability in flexible optoelectronic ***,they are crucial for applications in the fields of energy,display,healthcare,and soft *** meshes represent a promising alternative to traditional,brittle,metal oxide conductors due to their high electrical conductivity,optical transparency,and enhanced mechanical *** this paper,we present a simple method for fabricating an ultra-transparent conducting metal oxide mesh electrode using selfcracking-assisted *** this method,we produced an electrode with ultra-transparency(97.39%),high conductance(Rs=21.24Ωsq^(−1)),elevated work function(5.16 eV),and good mechanical *** also evaluated the effectiveness of the fabricated electrodes by integrating them into organic photovoltaics,organic light-emitting diodes,and flexible transparent memristor devices for neuromorphic computing,resulting in exceptional device *** addition,the unique porous structure of the vanadium-doped indium zinc oxide mesh electrodes provided excellent flexibility,rendering them a promising option for application in flexible optoelectronics.

关键词： Self-cracking template Vanadium-doped indium zinc oxide mesh Organic solar cells Organic light-emitting diodes Flexible transparent memory

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A comprehensive investigation on nonlinear vibration and bending characteristics of bio-inspired helicoidal laminated composite structures

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Applied Mathematics and Mechanics(English Edition) 2025年第01期 81-100页

作者： S.SAURABH R.kiran d.SINGH R.VAISH V.S.CHAUHAN School of Mechanical and Materials Engineering Indian Institute of Technology Mandi

Bio-inspired helicoidal composite laminates, inspired by the intricate helical structures found in nature, present a promising frontier for enhancing the mechanical properties of structural designs. Hence, this study provides a comprehensive investigation into the nonlinear free vibration and nonlinear bending behavior of bio-inspired composite plates. The inverse hyperbolic shear deformation theory(IHSdT) of plates is employed to characterize the displacement field, with the incorporation of Green-Lagrange nonlinearity. The problem is modeled using the C0finite element method(FEM), and an in-house code is developed in the MATLAB environment to solve it numerically. Various helicoidal layup configurations including helicoidal recursive(HR), helicoidal exponential(HE), helicoidal semi-circular(HS), linear helicoidal(LH), and Fibonacci helicoidal(FH)with different layup sequences and quasi-isotropic configurations are studied. The model is validated, and parametric studies are conducted. These studies investigate the effects of layup configurations, side-to-thickness ratio, modulus ratios, boundary conditions, and loading conditions at different load amplitudes on the nonlinear vibration and nonlinear bending behaviors of bio-inspired composite plates. The results show that the laminate sequence exerts a substantial impact on both nonlinear natural frequencies and nonlinear bending behaviors. Moreover, this influence varies across different side-to-thickness ratios and boundary conditions of the bio-inspired composite plate.

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Comparative evaluation of Cartosat-1 and SRTM imageries for digital elevation modelling

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Geo-Spatial Information Science 2013年第2期16卷 75-82页

作者： kiran YARRAKULA d.dEB B.SAMANTA Civil Engineering department Bapatla Engineering CollegeBapatlaIndia Mining Engineering department IITKharagpurIndia

digital Elevation Models(dEM)of a hilly–valley region are prepared using stereo images of Cartosat-1 and Shuttle Radar Topography Mission(SRTM)*** procedure of ortho-image generation from Cartosat-1 stereo images and the estimation of ground features from ortho-image are elaborated in the *** of dEMs prepared from both images is discussed in terms of the quality of ground features detection,hydrological applications and geometrical *** is found that dEM prepared from Cartosat-1 images are more accurate in the valley region and hence it is better suited for hydrological *** the contrary,for hilly region,SRTM images produce better ***,if ground control points and Rational Polynomial Coefficients can be obtained in the hilly region,more accurate dEM can be prepared using Cartosat-1 stereo images.

关键词： digital elevation model Cartosat-1 SRTM

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development of artificial neural network to predict the performance of spark ignition engine fuelled with waste pomegranate ethanol blends

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Information Processing in Agriculture 2023年第4期10卷 459-474页

作者： d.Y.dhande C.S.Choudhari d.P.Gaikwad kiran B.dahe department of Mechanical Engineering AISSMS College of EngineeringPuneMaharashtra State 411001India department of Computer Engineering AISSMS College of EngineeringPuneMaharashtra State 411001India

In this study,an artificial neural network(ANN)is developed to predict the performance of a spark-ignition engine using waste pomegranate ethanol blends.A series of experiments on a single-cylinder,four-stroke spark-ignition engine yielded the data needed for neural network training and validation.70 percent of the experimental data was used to train the network using the feed-forward back propagation(FFBP)*** developed network model’s performance was evaluated by contrasting its output with experimental *** parameters included engine speed,ethanol blends,and output parameters included indicated and brake power,thermal,volumetric,and mechanical *** and testing data had regression coefficients that were almost identical to *** research revealed that the ANN model can be a better option for predicting engine performance with a higher level of accuracy.

关键词： ANN Biofuel Pomegranate ethanol Solid waste management Spark ignition engine performance

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Intrusion detection Model Using Chaotic MAP for Network Coding Enabled Mobile Small Cells

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Computers, Materials & Continua 2024年第3期78卷 3151-3176页

作者： Chanumolu kiran Kumar Nandhakumar Ramachandran School of Computer Science and Engineering VIT-AP UniversityAmaravatiAndhra Pradesh522241India

Wireless Network security management is difficult because of the ever-increasing number of wireless network malfunctions,vulnerabilities,and *** security systems,such as Intrusion detection Systems(IdS),are essential due to the limitations of simpler security measures,such as cryptography and *** to their compact nature and low energy reserves,wireless networks present a significant challenge for security *** features of small cells can cause threats to the *** Coding(NC)enabled small cells are vulnerable to various types of *** attacks and performing secure“peer”to“peer”data transmission is a challenging task in small *** to the low power and memory requirements of the proposed model,it is well suited to use with constrained small *** attacker cannot change the contents of data and generate a new Hashed Homomorphic Message Authentication Code(HHMAC)hash between transmissions since the HMAC function is generated using the shared *** this research,a chaotic sequence mapping based low overhead 1d Improved Logistic Map is used to secure“peer”to“peer”data transmission model using lightweight H-MAC(1d-LM-P2P-LHHMAC)is proposed with accurate intrusion *** proposed model is evaluated with the traditional models by considering various evaluation metrics like Vector Set Generation Accuracy Levels,Key Pair Generation Time Levels,Chaotic Map Accuracy Levels,Intrusion detection Accuracy Levels,and the results represent that the proposed model performance in chaotic map accuracy level is 98%and intrusion detection is 98.2%.The proposed model is compared with the traditional models and the results represent that the proposed model secure data transmission levels are high.

关键词： Network coding small cells data transmission intrusion detection model hashed message authentication code chaotic sequence mapping secure transmission

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FMHAdP:design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via deep Learning Pattern Analysis

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Journal of Harbin Institute of Technology(New Series) 2024年第5期31卷 55-67页

作者： Meesala Sravani B kiran Kumar M Rekha Sundari d Tejaswi department of Computer Science and Engineering GMR Institute of TechnologyRajam 532127Andhra PradeshIndia Information Technology Anil Neerukonda Institute of Technology&Science(Autonomous)Sangivalasa 531162BheemunipatnamIndia

Network attack detection and mitigation require packet collection,pre-processing,feature analysis,classification,and *** for these tasks sometimes become complex or inefficient when applied to real-time data *** mitigate hybrid assaults,this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature *** this paper,we provide a novel multidomain feature extraction method using Fourier,Z,Laplace,discrete Cosine Transform(dCT),1d Haar Wavelet,Gabor,and Convolutional *** method dragon fly optimisation reduces feature dimensionality and improves feature selection *** selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns,detect anomalies,and warn network *** suggested model tackles the inadequacies of existing approaches to hybrid threats,which are growing more common and challenge conventional security *** model integrates multidomain feature extraction,deep learning pattern analysis,and the forensic layer to improve intrusion detection and prevention *** diverse attack scenarios,our technique has 3.5% higher accuracy,4.3% higher precision,8.5% higher recall,and 2.9% lower delay than previous models.

关键词： digital replay attack perceptual hashing content authentication content identification differential Luminance Block Means(dLBM) normalization shifts

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The utility of coronary computed tomography angiography in elderly patients

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Journal of Geriatric Cardiology 2019年第7期16卷 507-513页

作者： Jordan Laggoune Nitesh Nerlekar kiran Munnur Brian SH Ko James d Cameron Sujith Seneviratne dennis TL Wong Monash Cardiovascular Research Centre Monash University and MonashHeartMonash HealthClaytonVictoriaAustralia South Australian Health Medical Research Institute AdelaideAustralia

Background Coronary computed tomography angiography(CCTA)is often avoided in elderly patients due to a presumption that a high proportion of patients will have heavily calcified plaque limiting an accurate *** sought to assess the image quality,luminal stenosis and utility of CCTA in elderly patients with suspected coronary artery disease(CAd)and stable chest *** Retrospective analysis of elderly patients(>75 years)who underwent 320-detector row CCTA between 2012–2017 at *** CCTA was analysed for degree maximal coronary stenosis by CAd-RAdS classification,image quality by a 5-point Likert score(1-poor,2-adequate,3-good,4-very good,5-excellent)and presence of artefact limiting *** 1011 elderly patients(62%females,78.8±3.3 years)were *** risk factor prevalence included:hypertension(65%),hyperlipidaemia(48%),diabetes(19%)and smoking(21%).The CCTA was evaluable in 68%of patients which included 52%with non-obstructive CAd(d(>50%)*** Likert score was 3.1±0.6 corresponding to good image *** the 323(32%)of patients with a non-interpretable CCTA,80%were due to calcified plaque and 20%due to motion *** gender(P=0.009),age(P=0.02),excess motion(Pd diabetes mellitus(P=0.03)were associated with non-interpretable *** Although CCTA is a feasible non-invasive tool for assessment of elderly patients with stable chest pain,clinicians should still be cautious about referring elderly patients for *** who are male,diabetic and>78 years of age are significantly less likely to have interpretable scans.

关键词： Coronary artery calcium Coronary CT angiography Multi-detector row CT The elderly

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darks and Stripes:Effects of Clothing on Weight Perception

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Journal of Social Computing 2020年第1期1卷 53-70页

作者： Kirill Martynov kiran Garimella Robert West d-80636 Munich Germany work done at Ecole Polytechnique Federale de Lausanne(EPFL)and Technische Universit at Munchen(TUM) Institute of Technology(MIT) CambridgeMA 02139USA EPFL CH-1004 LausanneSwitzerland

In many societies,appearing slim(corresponding to a small body-mass index)is considered *** fashion industry has been attempting to cater to this trend by designing outfits that can enhance the appearance of *** anecdotal rules,widespread in the world of fashion,are to choose dark clothes and avoid horizontal stripes,in order to appear *** far,empirical evidence has been unable to conclusively determine the validity of these rules,and there is consequently much controversy regarding the impact of both color and patterns on the visual perception of *** this paper,we aim to close this gap by presenting the results from a series of large-scale crowdsourcing studies that investigate the above two *** gathered a dataset of around 1000 images of people from the Web together with their ground-truth weight and height as well as clothing attributes about colors and *** elicit the effects of colors and patterns,we asked crowd workers to estimate the weight in each *** the analysis,we controlled potential confounds by matching images in pairs where the two images differ with respect to color or pattern,but are similar with respect to other relevant *** created image pairs in two ways:firstly,observationally,i.e.,from two real images;and secondly,experimentally,by manipulating the color or pattern of clothing in a real image via photo *** on our analysis,we conclude that dark clothes indeed decrease perceived weight slightly but statistically significantly,and horizontal stripes have no discernible effect compared to solid light-colored *** results contribute to advancing the debate around the effect of specific clothing colors and patterns and thus provide empirical grounds for everyday fashion ***,our work gives an outlook on the vast opportunities of using crowd sourcing in the modern fashion industry.

关键词： clothing fashion weight perception body size crowdsourcing

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