Effect of creep and shrinkage in a class of composite frame - shear wall systems

Savita Maru,A.K. Nagpal,R.K. Sharma 국제구조공학회 2003 Steel and Composite Structures, An International J Vol.3 No.5

The behaviour of composite frame - shear wall systems with regard to creep and shrinkage with high beam stiffness has been largely unattended until recently since no procedure has been available. Recently an accurate procedure, termed the Consistent Procedure (CP), has been developed which is applicable for low as well as for high beam stiffness. In this paper, CP is adapted for a class of composite frame - shear wall systems comprising of steel columns and R.C. shear walls. Studies are reported for the composite systems with high as well as low beam stiffness. It is shown that considerable load redistribution occurs between the R.C. shear wall and the steel columns and additional moments occur in beams. The magnitude of the load redistribution and the additional moment in the beams depend on the stiffness of the beams. It is also shown that the effect of creep and shrinkage are greater for the composite frame - shear wall system than for the equivalent R.C. frame - shear wall system.

Metallo-collagenase production by Arthrobacter creatinolyticus KP015744

Savita A. Kate,Madhuri Sahasrabudhe,Archana Pethe Techno-Press 2022 Advances in environmental research Vol.11 No.1

Amongst 27 isolates from deteriorated leather samples, Arthrobacter creatinolyticus KP015744 zzx28 was found to be an efficient collagenase producer. Collagenase production of 13.33 µmoles/min was shown at an optimum temperature at 37℃ after 72h and at pH 7.5 by using 2 ml/dL inoculum in 10 mg/ml collagen peptide type I as a substrate. In presence of Hg²⁺, EDTA and 𝛽-mercaptoethanol the collagenase production by the isolate was strongly inhibited however Fe²⁺, Ca²⁺and DMSO enhanced production of the enzyme. Specific activity was found to be 19.46×10³ U/mg and molecular weight 66 kD by SDS PAGE. Isolate also has potential to hydrolyze keratin which is another important protein found in leather. Experimental results propose that collagenase can be effectively used as a tool for collagen and keratin rich solid waste treatment.

Content Based Image Retrieval: Survey and Comparison of CBIR System based on Combined Features

Savita Gandhani,Nandini Singhal 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11

In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. In this paper, performance of various CBIR systems, based on combined feature i.e., color texture and shape, are compared.

Supplementation of a Standardized Extract from Phyllanthus emblica Improves Cardiovascular Risk Factors and Platelet Aggregation in Overweight/Class-1 Obese Adults

Savita Khanna,Amitava Das,James Spieldenner,Cameron Rink,Sashwati Roy 한국식품영양과학회 2015 Journal of medicinal food Vol.18 No.4

The objective of this study (clinicaltrials.gov NCT01858376) was to determine the effect of oral supplementation of a standardized extract of Phyllanthus emblica (CAPROS®) on cardiovascular disease (CVD) risk factors in overweight adult human subjects from the US population. Overweight/Class-1 obese (body–mass index: 25–35) adult subjects received 500 mg of CAPROS supplement b.i.d for 12 weeks. The study design included two baseline visits followed by 12 weeks of supplementation and then 2 weeks of washout. At all visits, peripheral venous blood was collected in sodium citrate tubes. Lipid profile measurements demonstrated a significant decrease in calculated low-density lipoprotein cholesterol and total cholesterol/high-density lipoprotein following 12 weeks of CAPROS supplementation when compared to averaged baseline visits. Circulatory high-sensitivity C reactive protein (hs-CRP) levels were significantly decreased after 12 weeks of supplementation. In addition, both ADP- and collagen-induced platelet aggregation was significantly downregulated following 12 weeks of supplementation. Overall, the study suggests that oral CAPROS supplementation may provide beneficial effects in overweight/Class-1 obese adults by lowering multiple global CVD risk factors.

Design of conjugated materials with side chain azo-linkages

Savita Meena,Josemon Jacob 한국고분자학회 2023 Macromolecular Research Vol.31 No.12

In this paper, we report on the synthesis and characterization of novel conjugated polymers P1–P4 bearing side chain azo-linkages. A diazotization coupling approach was used to design the dibromo functionalized azo-linked target monomers M1–M4 containing one or two azo groups. Monomer 4-((2,5-dibromophenyl)diazenyl)-N,N-dioctylaniline M2 was copolymerized with different donor–acceptor units to obtain polymers P1–P4. Suzuki polymerization reaction was used to synthesize poly[N,N-dioctyl-4-(phenyldiazenyl)aniline-alt-9,9-dioctyl-9H-fluorene] P1 whereas direct arylation polymerization reaction was used to synthesize poly[N,N-dioctyl-4-(phenyldiazenyl)aniline-alt-3-octylthiophene] P2, poly[N,N-dioctyl-4-(phenyldiazenyl)aniline-alt-4,7-bis(4-octylthiophen-2-yl)benzo[c][1,2,5]thiadiazole] P3 and poly[N,N-dioctyl-4-(phenyldiazenyl)aniline-alt-4,4-dioctyl-4H-cyclopenta[1,2-b:5,4-b']dithiophene] P4. Thermogravimetric analyses showed good thermal stability with onset degradation temperatures in the range of 222–338 °C for P1–P4 (T5). All polymers possess good molecular weights with MW ranging from 9.31 to 10.90 kDa. UV–Vis studies on P1–P4 in solution and thin film show their absorption maxima to be between 434 and 517 nm with their optical band gaps falling in the range of 1.94–2.33 eV.

Predictive Analysis for Airbnb Listing Rating using scalable Big Data platform

Savita Yadav,Samyuktha Muralidharan,Jongwook Woo 한국경영정보학회 2021 한국경영정보학회 학술대회논문집 Vol.2021 No.11

This paper aims to build predictive models for Airbnb Rating using the Big Data systems, which is distributed parallel computing systems. We use Machine Learning algorithms to build models to predict a rating of the Airbnb listing. The Airbnb ratings can help hosts improve the listing and the hospitality to gain more potential customers. On the other hand, the guests can make a decision based on the ratings that previous guests provided. It is essential to understand customer experience and its role in forming customer rating behavior. The overall ratings provided by customers are reflections of their experiences with a product or service. We use Two-Class Classification models to predict if the listing has a high or low rating based on the features of the listing. We compare the results and the performance of rating prediction models. The comparison is illustrated in terms of the accuracy metrics and computing time.

Carbon nanofibers and multiwalled carbon nanotubes from camphor and their field electron emission

Savita P. Somani,Prakash R. Somani,M. Tanemura,S.P. Lau,M. Umeno 한국물리학회 2009 Current Applied Physics Vol.9 No.1

Vertically aligned carbon nanofibers (CNF) and multiwalled carbon nanotubes (MWCN) have been synthesized from camphor by catalytic thermal CVD method on Co and Co/Fe thin films (for CNF) and on silicon substrates using a mixture of camphor and ferrocene (for MWCN). CNF and MWCN are studied by field emission scanning electron microscopy, high-resolution transmission electron microscopy, visible Raman spectroscopy, X-ray diffraction in order to get insight into the microstructure and morphology of these materials. Field electron emission study indicates turn-on field of about 2.56, 3.0 and 6.5 V/㎛ for MWCN, Co/CNF and Co/Fe/CNF films, respectively. The best performance of MWCN in field electron emission among the materials studied can be due to the highest aspect ratio, good graphitization and good density. Vertically aligned carbon nanofibers (CNF) and multiwalled carbon nanotubes (MWCN) have been synthesized from camphor by catalytic thermal CVD method on Co and Co/Fe thin films (for CNF) and on silicon substrates using a mixture of camphor and ferrocene (for MWCN). CNF and MWCN are studied by field emission scanning electron microscopy, high-resolution transmission electron microscopy, visible Raman spectroscopy, X-ray diffraction in order to get insight into the microstructure and morphology of these materials. Field electron emission study indicates turn-on field of about 2.56, 3.0 and 6.5 V/㎛ for MWCN, Co/CNF and Co/Fe/CNF films, respectively. The best performance of MWCN in field electron emission among the materials studied can be due to the highest aspect ratio, good graphitization and good density.

*-Ricci Soliton on (κ < 0, µ)-almost Cosymplectic Manifolds

Savita Rani,Ram Shankar Gupta 경북대학교 자연과학대학 수학과 2022 Kyungpook mathematical journal Vol.62 No.2

We study *-Ricci solitons on non-cosymplectic (κ, μ)-acs (almost cosymplec-tic) manifolds M. We find *-solitons that are steady, and such that both the scalarcurvature and the divergence of the potential field is negative. Further, we study concurrent, concircular, torse forming and torqued vector fields on M admitting Ricci and*-Ricci solitons. Also, we provide some examples.

Optimization and evaluation of multigrain gluten-enriched instant noodles

Savita Rani,Rakhi Singh,Barjinder Pal Kaur,Ashutosh Upadhyay,Dinkar B. Kamble 한국응용생명화학회 2018 Applied Biological Chemistry (Appl Biol Chem) Vol.61 No.5

Central composite design was employed to optimize the cooking, textural and overall acceptability score of the instant dried noodles prepared with multigrain flour and gluten incorporation. Sorghum flour (X1, 10–50%), soy flour (X2, 10–20%) and gluten (X3, 2–4%) were the independent variables investigated with respect to five response variables including cooking time (Y1), cooked weight (Y2), cooking loss (Y3), hardness (Y4) and overall acceptability (Y5). The optimum level was found to be 24.61% sorghum, 13.23% soy and 2.95% gluten resulting in cooking time = 9 ± 0.60 min, cooked weight = 17.30 ± 0.17 g, cooking loss = 11.46 ± 0.64 g/100 g, hardness = 36.65 ± 3.2 N with overall acceptability score of 7.3 ± 0.71, respectively. Optimized noodles showed higher ash (3.40 ± 0.11%), protein (16.63 ± 0.55%), fiber (4.78 ± 0.04%) as well as iron content (4.53 ± 0.02 mg/ 100 g) than the control (0.83 ± 0.02%, 13.13 ± 0.84%, 0.00 and 2.38 mg/100 g) and Maggie noodles (3.19 ± 0.01%, 10.53 ± 0.30%, 0.41 ± 0.50% and 0.22 ± 0.00 mg/100 g) made with refined wheat flour. Optimized noodles also revealed good total phenolic content (84.57 ± 1.42 mg GAE/100 g DW) and 1,1-diphenyl- 2-picrylhydrazyl scavenging activity (19.64 ± 0.20%). Hence, optimized noodles have substantial potential as a protein–fiber-rich complementary food to improve the nutrient delivery of mid-day meal scheme and satisfying the protein requirement of primary class children (12 g/ child/day) as laid down by MHRD (India) under the scheme.

Ability of children to perform touchscreen gestures and follow prompting techniques when using mobile apps

Yadav, Savita,Chakraborty, Pinaki,Kaul, Arshia,Pooja, Pooja,Gupta, Bhavya,Garg, Anchal The Korean Pediatric Society 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.6

Background: Children today get access to smartphones at an early age. However, their ability to use mobile apps has not yet been studied in detail. Purpose: This study aimed to assess the ability of children aged 2-8 years to perform touchscreen gestures and follow prompting techniques, i.e., ways apps provide instructions on how to use them. Methods: We developed one mobile app to test the ability of children to perform various touchscreen gestures and another mobile app to test their ability to follow various prompting techniques. We used these apps in this study of 90 children in a kindergarten and a primary school in New Delhi in July 2019. We noted the touchscreen gestures that the children could perform and the most sophisticated prompting technique that they could follow. Results: Two- and 3-year-old children could not follow any prompting technique and only a minority (27%) could tap the touchscreen at an intended place. Four- to 6-year-old children could perform simple gestures like a tap and slide (57%) and follow instructions provided through animation (63%). Seven- and 8-year-old children could perform more sophisticated gestures like dragging and dropping (30%) and follow instructions provided in audio and video formats (34%). We observed a significant difference between the number of touchscreen gestures that the children could perform and the number of prompting techniques that they could follow (F=544.0407, P<0.05). No significant difference was observed in the performance of female versus male children (P>0.05). Conclusion: Children gradually learn to use mobile apps beginning at 2 years of age. They become comfortable performing single-finger gestures and following nontextual prompting techniques by 8 years of age. We recommend that these results be considered in the development of mobile apps for children.