66 research outputs found

    RESPONSE OF STEVIA (Stevia rebaudiana B.) PLANLET ON ADDITION OF ORGANIC MATERIALS IN SOME CONCENTRATIONS OF MS MEDIUM

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    This study aims to determine the response of the growth of Stevia (Stevia rebaudiana B.) plantlets in vitro on different MS media and to organic material. This study also aims to find media and organic material formulations as substitutes for growth regulators at the culture stage before acclimatization. The method used in this research is Factorial Complete Randomized Design which consists of 2 factors. The first factor is MS media concentration (½ MS and MS Full). The second factor is several types of organic matter such as young corn extract (150 ml/L), bean sprout extract (150 ml/L), and young coconut water (150 ml/  L). The results showed that explants were able to grow shoots or roots on MS Full media as well as ½ MS media. Besides, the types of organic matter also gave different responses, but from this study, it was related to coconut water and young corn extract both to stimulate the growth and root of stevia plantlets.This study aims to determine the response of the growth of Stevia (Stevia rebaudiana B.) plantlets in vitro on different MS media and to organic material. This study also aims to find media and organic material formulations as substitutes for growth regulators at the culture stage before acclimatization. The method used in this research is Factorial Complete Randomized Design which consists of 2 factors. The first factor is MS media concentration (½ MS and MS Full). The second factor is several types of organic matter such as young corn extract (150 ml / L), bean sprout extract (150 ml / L), and young coconut water (150 ml / L). The results showed that explants were able to grow shoots or roots on MS Full media as well as ½ MS media. In addition, the types of organic matter also gave different responses, but from this study it was related to coconut water and young corn extract both to stimulate the growth and root of stevia plantlets.  Keywords:Stevia, MS Media Concentration, Organic MaterialsÂ

    Materials science and the sensor revolution

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    For the past decade, we have been investigating strategies to develop ways to provide chemical sensing platforms capable of long-term deployment in remote locations1-3. This key objective has been driven by the emergence of ubiquitous digital communications and the associated potential for widely deployed wireless sensor networks (WSNs). Understandably, in these early days of WSNs, deployments have been based on very reliable sensors, such as thermistors, accelerometers, flow meters, photodetectors, and digital cameras. Biosensors and chemical sensors (bio/chemo-sensors) are largely missing from this rapidly developing field, despite the obvious value offered by an ability to measure molecular targets at multiple locations in real-time. Interestingly, while this paper is focused on the issues with respect to wide area sensing of the environment, the core challenge is essentially the same for long-term implantable bio/chemo-sensors4, i.e.; how to maintain the integrity of the analytical method at a remote, inaccessible location

    Overview and Outlook Studies on PBIS( Positive Behavioral Interventions and Supports) of Tire1

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     本研究は,日本におけるPBIS の第1層支援の開発のために,アメリカのPBS およびPBIS についての研究をレビューしたものである。アメリカにおける PBIS の第1層支援を紹介した。特別支援教育の分野において,PBISの第1層支援の効果が検証されている。本稿では,特に, The Praise Game, Praise Student Frequently,Rewards, Simple Reward Systems, & Incentives, Behavior Management Pocket Chart, Model AppropriateLanguage, Assign a Buddy or Partnerを中心に取り上げた。これらを踏まえて,日本における, PBIS の第1層支援の導入にかかわる展望を示した

    Deposition of fluorescent NIPAM-based nanoparticles on solid surfaces: quantitative analysis and the factors affecting it

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    Recently, responsive surfaces have attracted attention due to their potential applications. Reported research have studied the deposition of environmentally responsive particles on different surfaces, qualitatively tested their response to environmental conditions and studied their possible applications. In this work, novel fluorescent temperature-sensitive nanoparticles were synthesized using a surfactant free emulsion polymerization technique: poly(N-isopropylacrylamide-co-5% vinyl cinnamate) (p(NIPAM)5%VC). The new particles were characterized using dynamic light scattering and fluorescence spectroscopy. A novel sensitive method for the quantitative analysis of p(NIPAM) 5% VC using fluorescence spectroscopy was developed to determine the concentration of nanoparticle dispersions. This was further used to quantitatively determine the mass of nanoparticles deposited per unit area of glass pre-treated with acid, glass pre-treated with base, quartz, stainless steel, gold and teflon at 25 °C and 60 °C. Factors affecting the adsorption/desorption of the nanoparticles were studied, including the effect of substrate surface charge, surface roughness (using atomic force microscopy, AFM), hydrophilicity/hydrophobicity and the temperature at which the adsorption/desorption experiments were carried out. The results show that the effect of surface charge is the most significant, followed by that of surface roughness and temperature. Meanwhile, the influence of the hydrophobicity/hydrophilicity of the surface on the adsorption/desorption of nanoparticles appears to be far less significant than the previously mentioned factors

    Positionality-Weighted Aggregation Methods for Cumulative Voting

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    Respecting minority opinions is vital in solving social problems. However, minority opinions are often ignored in general majority rules. To build consensus on pluralistic values and make social choices that consider minority opinions, we propose aggregation methods that give weighting to the minority's positionality on cardinal cumulative voting. Based on quadratic and linear voting, we formulated three weighted aggregation methods that differ in the ratio of votes to cumulative points and the weighting of the minority to all members, and assuming that the distributions of votes follow normal distributions, we calculated the frequency distributions of the aggregation results. We found that minority opinions are more likely to be reflected proportionately to the average of the distribution in two of the above three methods. This implies that Sen and Gotoh's idea of considering the social position of unfortunate people on ordinal ranking in the welfare economics, was illustrated by weighting the minority's positionality on cardinal voting. In addition, it is possible to visualize the number and positionality of the minority from the analysis of the aggregation results. These results will be useful to promote mutual understanding between the majority and minority by interactively visualizing the contents of the proposed aggregation methods in the consensus-building process. With the further development of information technology, the consensus building based on big data will be necessary. We recommend the use of our proposed aggregation methods to make social choices for pluralistic values such as social, environmental, and economic.Comment: 10 pages, 3 figures. Published online at http://www.redfame.com/journal/index.php/ijsss/article/view/517

    Research and development of production technology for ethnic functional product "red cottage cheese"

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    The technology of “Red Cottage Cheese” production is deeply rooted in the past of the Turkic people. “Red Cottage Cheese”, with its creamy caramel flavor, has long been considered a delicacy. The Turkic people cooked “Red Cottage Cheese” by a long-term simmering of the mixture of whole milk and a fermentation agent in order to obtain a curd clot, and then adding sugar and butter. The aim of the research is to develop a new technology for the production of the ethnic functional product “Red Cottage Cheese”. To develop this new cottage cheese product, we used skim milk, fermentation agent, and stevioside

    Regional Inequality Simulations Based on Asset Exchange Models with Exchange Range and Local Support Bias

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    To gain insights into the problem of regional inequality, we proposed new regional asset exchange models based on existing kinetic income-exchange models in economic physics. We did this by setting the spatial exchange range and adding bias to asset fraction probability in equivalent exchanges. Simulations of asset distribution and Gini coefficients showed that suppressing regional inequality requires, firstly an increase in the intra-regional economic circulation rate, and secondly the narrowing down of the exchange range (inter-regional economic zone). However, avoiding over-concentration of assets due to repeat exchanges requires adding a third measure; the local support bias (distribution norm). A comprehensive solution incorporating these three measures enabled shifting the asset distribution from over-concentration to exponential distribution and eventually approaching the normal distribution, reducing the Gini coefficient further. Going forward, we will expand these models by setting production capacity based on assets, path dependency on two-dimensional space, bias according to disparity, and verify measures to reduce regional inequality in actual communities.Comment: 14 pages, 8 figures. Published online at http://redfame.com/journal/index.php/aef/article/view/494

    Scaling the Raman gain coefficient: Applications to Germanosilicate fibers

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