Wading birds foraging Pattern in Everglades National Park from seasonal hydrologic statistics

Kwon Hyun-Han(권현한),Lall Upmanu,Engel Vic 대한토목학회 2008 대한토목학회 학술대회 Vol.2008 No.10

Predicting Number of Wading birds in Everglades National Park in Florida Using Hydro-meteorological Data

Kwon Hyun-Han,Lall Upmanu,Engel Vic 대한토목학회 2009 대한토목학회 학술대회 Vol.2009 No.10

GUI design exploration software for microwave antennas

Bo Liu,Alexander Irvine,Mobayode O. Akinsolu,Omer Arabi,Vic Grout,Nazar Ali 한국CDE학회 2017 Journal of computational design and engineering Vol.4 No.4

Optimizers in commercial electromagnetic (EM) simulation software packages are the main tools for performing antenna design exploration today. However, these general purpose optimizers are facing challenges in optimization efficiency, supported optimization types and usability for antenna experts without deep knowledge on optimization. Aiming to fill the gaps, a new antenna design exploration tool, called Antenna Design Explorer (ADE), is presented in this paper. The key features are: (1) State-of-the-art antenna design exploration methods are selected and embedded, addressing efficient antenna optimization (critical but unable to be solved by existing tools) and multiobjective antenna optimization (not available in most existing tools); (2) Human-computer interaction for the targeted problem is studied, addressing various usability issues for antenna design engineers, such as automatic algorithmic parameter setting and interactive stopping criteria; (3) Compatibility with existing tools is studied and ADE is able to co-work with existing EM simulators and optimizers, combining advantages. A case study verifies the advantages of ADE.

Downregulation of GFAP, TSP-1, and p53 in human glioblastoma cell line, U373MG, by IE1 protein from human cytomegalovirus

Lee, Karim,Jeon, Kipyoung,Kim, Jong-Mook,Kim, Vic Narry,Choi, Dong Hee,Kim, Seung U.,Kim, Sunyoung John Wiley & Sons, Inc. 2005 Glia Vol.51 No.1

<P>Human cytomegalovirus (HCMV) is a member of the β-herpesvirus family, which has tropism for glial cells. It was recently reported that HCMV might play important roles in the pathogenesis of malignant glioma. In this study, we investigated the effects of the HCMV IE1 protein on the gene expression profile in the human glioblastoma cell line, U373MG by employing cDNA microarray technology. Using DNA chips containing approximately 1,000 human cDNAs, RNA samples from U373MG cells stably expressing IE1 were compared with those from the control cells lacking IE1 cDNA. Fluorescence intensities of 13 genes were significantly decreased in IE1-expressing cells, while one gene was found to be upregulated. Among these 14 genes, we chose to work further on glial fibrillary acidic protein (GFAP), thrombospondin-1 (TSP-1), and p53, because of their previously known involvement in tumorigenesis. The mRNA levels of all these genes were found to be decreased in IE1-expressing glioblastoma cells by real-time quantitative reverse transcription-polymerase chain reaction (RT-PCR) as well as Northern blot analysis. The decreased expression of these genes was also observed at protein levels as measured by immunocytochemistry or fluorescence-activated cell sorting (FACS) analysis. Our data strongly suggested that HCMV IE1 could modulate the expression of cellular genes that might play important roles in the pathogenesis of glial tumors. © 2005 Wiley-Liss, Inc.</P>

A FORMATIVE MEASURE OF VERY YOUNG CHILDREN’S PERSUASION KNOWLEDGE

Shasha Wang,Dick Mizerski,Fang Liu,Doina Olaru,Victoria Mallinckrodt 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

Introduction An individual’s Persuasion Knowledge is his or her knowledge of the persuasive nature of messages (Freisted and Wright 1994). Most adults are assumed to have this knowledge that enables them to be sceptical of persuasive messages, and to incorporate this information in their decision-making about promoted products. Children are viewed as vulnerable to persuasive messages (Nelson 2016) because they have not developed the appropriate knowledge base to be sceptical of messages (Mallinckrodt and Mizerski 2007) and thus unable to discount the claims made by marketers. This lack of ability to be sceptical is argued to lead to “…the vulnerability of young audiences to the negative effects of advertising” (Nelson 2016, p. 169) like obesity, materialism, poor quality of life and higher rates of mortality. Because of the wide acceptance that young children are particularly vulnerable to persuasive messages, advertising targeting children has been banned in several countries and proposed for others (Mizerski et al. 2016; Wang 2016). Many studies about Persuasion Knowledge or Advertising Knowledge (communication research) have been published over the 40 plus years since Ward (1972) first discussed the concept. However, few studies have tested whether Persuasion Knowledge is an antecedent to children’s sceptical responses to persuasive messages. The 11 studies that have tested the link (see Mizerski et al. (2016) for a review) used a wide variety of single item or reflective measures (measures that reflect the construct). They provide inconsistent findings except that the child’s age is positively associated with acquiring knowledge about persuasive messages like advertising or playing advergames. For example, while most researchers assumed or argued a positive link between young children’s persuasion knowledge and their scepticism, Buijzen (2007) and Christenson (1982) failed to find this link. Robertson and Rossiter (1974) reported children’s understanding of persuasive intent (commercials persuade one to buy things) was positively related with young children’s scepticism, but assistive intent (commercials tell one about things) was negatively related. The inconsistent findings of children’s responses to commercial messages may be due to more than the lack of consistent measures. The use of reflective rather than formative measure of young children’s persuasion knowledge may be another reason for inconsistent findings. “Young” children are those under eight years old (Mizerski 1) shashaatperth@gmail.com et al. 2016), but a lack of sufficient persuasion knowledge has been found with children over 16 years old (Carter et al. 2011). Most recent studies have adopted the Freisted and Wright (1994) Persuasion Knowledge Model that is based on the information processing of an adult buyer. Adults tend to have obtained Persuasion Knowledge so their knowledge may be captured with measures that reflect the construct. Young children are in the process of obtaining Persuasion Knowledge. The ability to understand the source of the message and the persuasive intent of the source are often cited as antecedents to having Persuasion Knowledge. These constructs form over time and cause persuasion knowledge (Nelson 2016). Therefore, it should be a formative measure. Measuring social class is a classical formative measure because causal elements like where you live and your profession can’t be accurately calculated for children. Social class forms over time. The use of a reflective measure when a formative measure should be used leads to several problems (Diamantopoulos and Siguaw 2006; Diamantopoulos and Winklhofer 2001), particularly an increase in Type II errors-“false negatives” (MacKenzie, Podsakoff and Jarvis 2005). For example, this means ruling out a causal element of persuasion knowledge when it is causal. This paper will compare existing single item or multi-item reflective measures used with young children, with a formative measure of the Persuasive Knowledge construct. The best way to validate a construct is to test it with external variables empirically and theoretically linked to the construct, including both antecedents and consequences (Diamantopoulos and Winklhofer 2001). Three variables, theoretically and/or empirically linked with young children’s Persuasion Knowledge, are tested in a baseline model to assess the external validity of the construct. These variables are age (Ward 1972), responses toward persuasive marketing messages (such as scepticism) and affect toward the persuasive messages (Mizerski et al. 2016; Wang 2016). Therefore, it is expected that the goodness-of-fit measures for the model using the formative measure of young children’s Persuasion Knowledge will provide a better fit to the data than the reflective measures. To further test the formative nature of young children’s Persuasion Knowledge, two additional models are tested. Researchers are responsible to set the weights of indicators of a formative construct, so a formative model with expert knowledge weights is developed (Figure 1). The indicators or elements of a formative construct should be able to reveal different facets so another model with different facets is developed. Consistent findings of the two models and the proposed baseline model will further support the formative nature of this construct. Apart from content validity and external validity, we also test the measures of the construct with another data set (Mallinckrodt and Mizerski 2007) to test the models’ generalisability. The Mallinckrodt and Mizerski study used children from a different cultural background (Australian vs. Chinese young children), but have similar ages and measures of Persuasion Knowledge and external variables. Further confirmation of the structure of the measurement model is provided if the same relationships are found with the second data set. Methodology Sample The population to be sampled are young Chinese children. China was selected because it has the largest population of young children, is the largest market for toys and a children’s toy is the stimulus product in the experimental study. The sample frame is day care schools in a Northern Chinese city of approximately eight million people. Procedure This is an experiment-based study with a control group. After individual exposure to a toy TV advertisement for a “magic ruler” that can be made into many different shapes with a Dinosaur shape shown in the ad, participants were each asked to answer questions. Cartoon pictures of the question options accompanied by verbal statements were used to reduce the possibility of misunderstanding young children’s responses on Persuasion Knowledge related questions. To reduce any effects of young children choosing the first option they see, pictures or options were shown in a random order. Children were told that there is no right or wrong answer, and they could withdraw at any point. Measures Persuasion knowledge was measured three ways; including a single-item measure, a summated-items measure, and a formative measure. Through an analysis and coding of 20 studies that tested the effect of young children’s persuasion knowledge (Mizerski et al. 2016), six items were found to measure the Persuasion Knowledge construct. The single-item measure used is the children’s understanding of the advertisers’ intention to make them ask their parents to buy (parent-buying intent). This was treated as the most important aspect of persuasion knowledge by several researchers (Carter et al. 2011; Mallinckrodt and Mizerski 2007). A summated-items measure included six items, frequently used in prior scholarly work. The formative measurement model was built using the same six items but by changing the direction of influence, with the causal flow from measures to the construct. Other variables include the children’s scepticism, their belief of false claims made in the ad and affect toward the toy TV advertisement (see Figure). After a CFA analysis with five questions, the scepticism factor score was derived as a standardised measure that followed a normal distribution. Scepticism ranged from -0.59 to 1.35, with an average of 0.07 and SD of 0.68. Belief of false claims (named as “false beliefs”) shown in the TV advertisement indicated that most children did not believe the two false claims included in the ad (84% and 69% respectively). Affect towards the toy TV ad was measured using one question: “Do you like this video?” to which most children (88%) indicated yes. Results, Discussion And Implication Fifty-four different patterns or combinations of the six persuasion knowledge items were found. This pattern show substantial heterogeneity in children’s Persuasion Knowledge, and further illustrates that young children are accumulating or forming their Persuasion Knowledge (Friestad and Wright 1994). In addition, these items have low correlations to one another that are typical of a formative measure. These findings of variability of knowledge levels and weak association between them indicate the potential multiple-dimension, formative nature of the construct of persuasion knowledge for young children. This may apply specifically to young children who are at the stage of increasing their learning abilities and developing or forming their knowledge. No relationship was found in the structural models using the reflective single-item measure and summated-items measure of persuasion knowledge, and the models showed a poor fit. However, relationships were found in the structural model that applied the formative measure of persuasion knowledge, with good model fit (see Table 1). Because a formative measure is supported, we tested the formative nature of Persuasion Knowledge on a previous study’s data (Mallinckrodt and Mizerski 2007). A formative model using that study’s data showed the same relationships between Persuasion Knowledge and its external variables. This consistency supports a formative measure of young children’s persuasion knowledge. Any review of future or past research should note the possible impact of using reflective measures of young children’s Persuasive Knowledge. To generalise the findings more research needs to be done for different product categories and age groups. More product categories, such as food and movies, and age groups could be taken into consideration. While few studies have tested the association of young children’s Persuasion Knowledge to scepticism toward the message, even fewer have tested the link of scepticism to young children’s responses to the advertised product (e.g. like, prefer, choose). Most of these studies do not find a link. If having Persuasion Knowledge doesn’t influence a young child’s desire for the brand, why teach it (e.g. Nelson 2016) or ban advertising because the children don’t have Persuasion Knowledge? Perhaps using a formative measure the link will be found.

Effects of Dietary Caloric Restriction and Exercise on GLUT 2 in Liver and GLUT-4 and VAMP-2 in Muscle Tissue of Diabetic Rats

( Il Gyu Jeong ),( Myung Jin Oh ),( Moon Nyeo Jang ),( Yun Suk Koh ),( Kyle D. Biggerstaff ),( David Nichols ),( Vic Ben Ezra ) 한국운동영양학회 2009 Physical Activity and Nutrition (Phys Act Nutr) Vol.13 No.1

Safety Culture: A Retrospective Analysis of Occupational Health and Safety Mining Reports

Tetzlaff, Emily J.,Goggins, Katie A.,Pegoraro, Ann L.,Dorman, Sandra C.,Pakalnis, Vic,Eger, Tammy R. Occupational Safety and Health Research Institute 2021 Safety and health at work Vol.12 No.2

Background: In the mining industry, various methods of accident analysis have utilized official accident investigations to try and establish broader causation mechanisms. An emerging area of interest is identifying the extent to which cultural influences, such as safety culture, are acting as drivers in the reoccurrence of accidents. Thus, the overall objective of this study was to analyze occupational health and safety (OHS) reports in mining to investigate if/how safety culture has historically been framed in the mining industry, as it relates to accident causation. Methods: Using a computer-assisted qualitative data analysis software, 34 definitions of safety culture were analyzed to highlight key terms. Based on word count and contextual relevance, 26 key terms were captured. Ten OHS reports were then analyzed via an inductive thematic analysis, using the key terms. This analysis provided a concept map representing the 50-year data set and facilitated the use of text framing to highlight safety culture in the selected OHS mining reports. Results: Overall, 954 references and six themes, safety culture, attitude, competence, belief, patterns, and norms, were identified in the data set. Of the 26 key terms originally identified, 24 of them were captured within the text. The results made evident two distinct frames in which to interpret the data: the role of the individual and the role of the organization, in safety culture. Conclusion: Unless efforts are made to understand and alter cultural drivers and share these findings within and across industries, the same accidents are likely to continue to occur.

Quantitative and Multiplexed MicroRNA Sensing in Living Cells Based on Peptide Nucleic Acid and Nano Graphene Oxide (PANGO)

Ryoo, Soo-Ryoon,Lee, Jieon,Yeo, Jinah,Na, Hee-Kyung,Kim, Young-Kwan,Jang, Hongje,Lee, Jung Hyun,Han, Sang Woo,Lee, Younghoon,Kim, Vic Narry,Min, Dal-Hee American Chemical Society 2013 ACS NANO Vol.7 No.7

<P>MicroRNA (miRNA) is an important small RNA which regulates diverse gene expression at the post-transcriptional level. miRNAs are considered as important biomarkers since abnormal expression of specific miRNAs is associated with many diseases including cancer and diabetes. Therefore, it is important to develop biosensors to quantitatively detect miRNA expression levels. Here, we develop a nanosized graphene oxide (NGO) based miRNA sensor, which allows quantitative monitoring of target miRNA expression levels in living cells. The strategy is based on tight binding of NGO with peptide nucleic acid (PNA) probes, resulting in fluorescence quenching of the dye that is conjugated to the PNA, and subsequent recovery of the fluorescence upon addition of target miRNA. PNA as a probe for miRNA sensing offers many advantages including high sequence specificity, high loading capacity on the NGO surface compared to DNA and resistance against nuclease-mediated degradation. The present miRNA sensor allowed the detection of specific target miRNAs with the detection limit as low as ∼1 pM and the simultaneous monitoring of three different miRNAs in a living cell.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2013/ancac3.2013.7.issue-7/nn401183s/production/images/medium/nn-2013-01183s_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn401183s'>ACS Electronic Supporting Info</A></P>