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      • KCI등재

        Enhancement of starch accumulation in plants by exogenously applied methyl jasmonate

        Ikuo Takahashi,Masakazu Hara 한국식물생명공학회 2014 Plant biotechnology reports Vol.8 No.2

        Increasing starch production is a central issuein plant biology and applied biotechnology. Althoughgenetic engineering has been applied to produce plantscontaining much starch, chemicals that promote starchaccumulation have not been well studied. Here, we reportthat exogenously applied methyl jasmonate (MeJA)enhanced the leaf starch content of Arabidopsis thaliana. Asignificant increase in starch production was detectedduring the light period after Arabidopsis was treated withhigh doses of MeJA (100–1,000 lM). The MeJA applicationinfluenced starch production rather than starch degradationbecause the expression of starch biosynthetic geneswas upregulated by MeJA. The promotion of starch accumulationby MeJA was demonstrated not only in Arabidopsisbut also in tobacco and spinach. These resultssuggest that the promotion of starch accumulation byMeJA is a common response found in a variety of plants.

      • STRUCTURAL DETERMINANTS OF THE RATE OF CHANGE OF JAPANESE RETAIL MARKET POTENTIAL: 1991 – 2007

        Charles A. Ingene,Ikuo Takahashi 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

        Market potential for a line of retail trade within a geographic market has been defined as the difference between (i) actual sales of the line of trade in the geographic market and (ii) potential sales based on the marketing environment, current retailers’ marketing efforts, and competition from related lines of trade and nearby geographic markets (Ingene and Takahashi 2012). In this current research we examine the rate of change of retail market potential in Japan over a sixteen year span (1991-2007).We theoretically address, and empirically estimate, key factors that affect the rate of change of retail sales per household in four major lines of retail trade: frequently purchased consumables (food and drink), less frequently bought non-durables (apparel, shoes and dry goods), and infrequently acquired durable goods that range from moderately costly (furniture) to truly expensive (autos). Information on these lines is drawn from the Japanese Retail Trade Censuses of 1991 and 2007 at the Industrial Classification (IC) level. We examine Dry Goods, Apparel and Accessory stores (largely clothing, shoe, linen and accessories (IC 56; Share of retail trade in 2007: 8%)); Food and Beverage stores (primarily grocery, liquor, and specialty food stores (IC 57; Share of retail trade: 30%)); Furniture, Household Utensils, and Appliances (IC 59; Share of retail trade: 9%); and Motor Vehicles and Bicycle stores (IC 58; Share of retail trade: 12%). Note that because our measure is sales, autos dominate in the IC 58 category. These four lines of trade collectively comprise about 60% (1991: 62%, 2007: 58%) of all retail sales. We previously explored determinants of the absolute value of retail sales per household in these lines of retail trade (Ingene and Takahashi 2013). However, this research deals with the rate of change of retail sales per household. Thus, we explain differences in change of retail market potential among 528 Japanese cities, in all 47 prefectures, that are home to over 75% of Japan’s people. According to our previous study (Ingene and Takahashi 2013), retail sales are determined by three fundamental factors: the Market Environment (which is beyond the control of retail managers), Intertype Competition (which is influenced, but not controlled, by managers in the line of trade), and the Marketing Mix in each line of trade (which is set by managers). The essence of our argument is that the Market Environment determines a base level of rate of change in sales per household. Intertype Competition takes sales away from the focal lines of trade. Finally, the Marketing Mix in each line of trade augments sales (a) by appealing to customers and (b) by countering the negative impact of Intertype Competition.Turning to our empirical model (Figure 1), we include seven variables in the Market Environment that are measured by their rate of change between 1991 and 2007: per capita income, home size in square meters (a proxy for household wealth), population growth, daytime population relative to residential population, auto ownership per capita (a proxy for mobility), distance to the prefecture’s capital city (a proxy for out-shopping), and newspapers per capita. We expect each of these independent variables to increase our dependent variable: retail sales per household.For the Marketing Mix we measure three variables in terms of their rate of change in the same time period: average square meters of selling space per store (a proxy for assortment), employees per square meter of selling space (a proxy for service), and number of stores per 1000 people (a proxy for locational convenience); each of them should increase retail sales per household in its line of trade, but not in other lines (e.g., the marketing mix for Food stores should only affect food sales per household).For Intertype Competition we use General Merchandise Stores (largely department stores and supercenters (IC55; Share of retail trade in 2007: 12%)) that, in Japan, directly compete with Clothing, Furniture and Food stores. We focus on the same three variables (assortment, service, and access); they are expected to be inversely related to the rate of change in sales per household in the lines with which they compete. There is no intertype competition in our Motor Vehicle regressions. In the first stage of our analysis we use the change of the Market Environment to explain the variation in the rate of change in retail sales per household and four lines of trade (i.e., four regressions). The Market Environment generates adjusted R2’s of 2% (Clothing) to 25% (Autos).In our second-stage analysis our dependent variable is the residuals from the first-stage regressions. Here we include the Marketing Mix and Intertype Competition variables as explanatory; they account for 2% (Autos) to 43% (Clothing) of the variation in the first-stage residuals. Taking the two stages together, we are able to explain26% (Autos) to 54% (Food) of the variation in retail sales per capita across the four lines of trade. We make four contributions with our empirical research. First, we investigate data from two censuses that span a sixteen year period; few previous studies have examined changes in retail structure over time (e.g., Hall, et al. 1961). Second, we demonstrate the time-variant stability of the Marketing Mix variables. Third, we show the importance of intertype competition – although in our data it appears that only the Food and Beverage category experiences significant intertype competition. Fourth, we examine retailing in Japan; the world’s third largest economy has rarely been the focus of retail trade studies.

      • STRUCTURAL DETERMINANTS OF THE RATE OF CHANGE OF JAPANESE RETAIL MARKET POTENTIAL: 1991-2007

        Charles A. Ingene,Ikuo Takahashi 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.2

        Market potential for a line of retail trade within a geographic market has been defined as the difference between (i) actual sales of the line of trade in the geographic market and (ii) potential sales based on the marketing environment, current retailers’ marketing efforts, and competition from related lines of trade and nearby geographic markets (Ingene and Takahashi 2012). In this current research we examine the rate of change of retail market potential in Japan over a sixteen year span (1991-2007).We theoretically address, and empirically estimate, key factors that affect the rate of change of retail sales per household in four major lines of retail trade: frequently purchased consumables (food and drink), less frequently bought non-durables (apparel, shoes and dry goods), and infrequently acquired durable goods that range from moderately costly (furniture) to truly expensive (autos). Information on these lines is drawn from the Japanese Retail Trade Censuses of 1991 and 2007 at the Industrial Classification (IC) level. We examine Dry Goods, Apparel and Accessory stores (largely clothing, shoe, linen and accessories (IC 56; Share of retail trade in 2007: 8%)); Food and Beverage stores (primarily grocery, liquor, and specialty food stores (IC 57; Share of retail trade: 30%)); Furniture, Household Utensils, and Appliances (IC 59; Share of retail trade: 9%); and Motor Vehicles and Bicycle stores (IC 58; Share of retail trade: 12%). Note that because our measure is sales, autos dominate in the IC 58 category. These four lines of trade collectively comprise about 60% (1991: 62%, 2007: 58%) of all retail sales. We previously explored determinants of the absolute value of retail sales per household in these lines of retail trade (Ingene and Takahashi 2013). However, this research deals with the rate of change of retail sales per household. Thus, we explain differences in change of retail market potential among 528 Japanese cities, in all 47 prefectures, that are home to over 75% of Japan’s people. According to our previous study (Ingene and Takahashi 2013), retail sales are determined by three fundamental factors: the Market Environment (which is beyond the control of retail managers), Intertype Competition (which is influenced, but not controlled, by managers in the line of trade), and the Marketing Mix in each line of trade (which is set by managers). The essence of our argument is that the Market Environment determines a base level of rate of change in sales per household. Intertype Competition takes sales away from the focal lines of trade. Finally, the Marketing Mix in each line of trade augments sales (a) by appealing to customers and (b) by countering the negative impact of Intertype Competition.Turning to our empirical model (Figure 1), we include seven variables in the Market Environment that are measured by their rate of change between 1991 and 2007: per capita income, home size in square meters (a proxy for household wealth), population growth, daytime population relative to residential population, auto ownership per capita (a proxy for mobility), distance to the prefecture’s capital city (a proxy for out-shopping), and newspapers per capita. We expect each of these independent variables to increase our dependent variable: retail sales per household.For the Marketing Mix we measure three variables in terms of their rate of change in the same time period: average square meters of selling space per store (a proxy for assortment), employees per square meter of selling space (a proxy for service), and number of stores per 1000 people (a proxy for locational convenience); each of them should increase retail sales per household in its line of trade, but not in other lines (e.g., the marketing mix for Food stores should only affect food sales per household).For Intertype Competition we use General Merchandise Stores (largely department stores and supercenters (IC55; Share of retail trade in 2007: 12%)) that, in Japan, directly compete with Clothing, Furniture and Food stores. We focus on the same three variables (assortment, service, and access); they are expected to be inversely related to the rate of change in sales per household in the lines with which they compete. There is no intertype competition in our Motor Vehicle regressions. In the first stage of our analysis we use the change of the Market Environment to explain the variation in the rate of change in retail sales per household and four lines of trade (i.e., four regressions). The Market Environment generates adjusted R2’s of 2% (Clothing) to 25% (Autos).In our second-stage analysis our dependent variable is the residuals from the first-stage regressions. Here we include the Marketing Mix and Intertype Competition variables as explanatory; they account for 2% (Autos) to 43% (Clothing) of the variation in the first-stage residuals. Taking the two stages together, we are able to explain26% (Autos) to 54% (Food) of the variation in retail sales per capita across the four lines of trade. We make four contributions with our empirical research. First, we investigate data from two censuses that span a sixteen year period; few previous studies have examined changes in retail structure over time (e.g., Hall, et al. 1961). Second, we demonstrate the time-variant stability of the Marketing Mix variables. Third, we show the importance of intertype competition - although in our data it appears that only the Food and Beverage category experiences significant intertype competition. Fourth, we examine retailing in Japan; the world’s third largest economy has rarely been the focus of retail trade studies.

      • KCI등재후보

        Stent-graft placement for treatment of massive hemobilia caused by porto-biliary fistula

        Masao Takahashi,Yozo Sato,Kazuo Hara,Nozomi Okuno,Ikuo Dejima,Shinichi Murata,Takaaki Hasegawa,Shohei Chatani,Hiroaki Onaya,Yoshitaka Inaba 소화기인터벤션의학회 2019 International journal of gastrointestinal interven Vol.8 No.4

        Proton beam therapy is a type of radiation therapy and a promising modality for cancer management because it involves few adverse effects and high therapeutic efficacy. However, there are reports of acute and late complications because of normal tissue damage. Hemobilia, known as bleeding from the biliary tree, is observed in various conditions, and it can also be of iatrogenic origin such as due to percutaneous hepatobiliary interventions. In most cases, it can be managed conservatively without significant hemorrhage. However, in a few cases with massive hemobilia, further intervention is necessary. We report the successful use of a stent-graft in the portal vein to treat massive hemobilia with porto-biliary fistula that was caused by previous proton beam therapy.

      • KCI등재후보

        Stent-graft placement for treatment of massive hemobilia caused by porto-biliary fistula

        Masao Takahashi,Yozo Sato,Kazuo Hara,Nozomi Okuno,Ikuo Dejima,Shinichi Murata,Takaaki Hasegawa,Shohei Chatani,Hiroaki Onaya,Yoshitaka Inaba 소화기인터벤션의학회 2019 Gastrointestinal Intervention Vol.8 No.4

        Proton beam therapy is a type of radiation therapy and a promising modality for cancer management because it involves few adverse effects and high therapeutic efficacy. However, there are reports of acute and late complications because of normal tissue damage. Hemobilia, known as bleeding from the biliary tree, is observed in various conditions, and it can also be of iatrogenic origin such as due to percutaneous hepatobiliary interventions. In most cases, it can be managed conservatively without significant hemorrhage. However, in a few cases with massive hemobilia, further intervention is necessary. We report the successful use of a stent-graft in the portal vein to treat massive hemobilia with porto-biliary fistula that was caused by previous proton beam therapy.

      • THE INTERACTIONAL EFFECT OF ATMOSPHERICS, TRUST AND MOTIVATION ON EMOTIONS AND ONLINE SHOPPING INTENTIONS

        Emi Moriuchi,Ikuo Takahashi 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

        This research was conducted to examine repeat online grocery shoppers behavior based on the S-O-R paradigm (Mehrabian and Russell, 1974) for a five year time frame. Not considering any artificial intelligence, generally in the online shopping environment, the image of the store is communicated through their product and site offerings as well as their user-friendliness of the website. Childers et al. (2001) discussed hedonic aspects of an online store environment such as web atmospherics. Furthermore, with a growing importance of atmospheric cues, researchers are now paying attention to consumer characteristics (Moriuchi and Takahashi, 2018). In general, the results show that atmospherics has an impact on pleasure and satisfaction. Both pleasure and satisfaction have an effect on loyalty. Trust served as a moderator between O-R and was significant. Comparing between the 2012 and 2016 data, results show that satisfaction consumers in the 2012 sample did not see an impact on satisfaction on loyalty, and trust was not a moderating factor on satisfaction and loyalty. However, all the other hypothesized relationships were significant for the 2016 sample. The results suggest a couple of practical implications. First, the ease of navigation are important in pleasing and satisfying online grocery shoppers. Marketing practitioners should focus on how to make the overall website easily navigable. This could include having clear display of the products, reviewing of product descriptions and ease of going back to the main menu after adding items to cart. Second, marketing practitioners should focus their attention on the variety of products available and the quality of products available such as pleasure.

      • SCIESCOPUSKCI등재

        Effects of ruminal administration of soy sauce oil on functional fatty acids in the rumen, blood and milk of dairy cows

        Konno, Daiji,Takahashi, Masanobu,Osaka, Ikuo,Orihashi, Takenori,Sakai, Kiyotaka,Sera, Kenji,Obara, Yoshiaki,Kobayashi, Yasuo Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.1

        Objective: Soy sauce oil, a byproduct of whole soybean processing by the soy sauce industry, was evaluated as a source of linoleic acid for dairy cows for the purpose of manipulating the composition of milk. Methods: Eight dairy Holstein cows fitted with rumen cannulas were used for ruminal administration of soy sauce oil for a 28-day period using a 4×4 Latin square study design with 4 doses (0, 200, 400, and 600 g soy sauce oil/d). Results: Although dry matter intake and milk yield were not affected by soy sauce oil administration, ruminal concentrations of total volatile fatty acids and acetate were decreased, specifically at 600 g/d administration. While milk fat percentage was decreased with administration of soy sauce oil, proportions of linoleic, vaccenic and conjugated linoleic acids in the rumen, blood and milk were increased with increasing soy sauce oil dose. Conclusion: These results suggest that soy sauce oil feeding could be useful for improving milk functionality without adverse effects on animal production performance when fed at less than 400 g/d.

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