Constructing Nutrition Information Trend Indicators from the Media and Scientific Journals for Demand Analysis

U.S. Consumers have become increasingly concerned with health problems. Nutrition is one of the factors which directly affects health, thus credible nutritional information has become more valuable to individuals. Understanding the impact of nutritional information on consumers’ food choices will contribute to the development and implementation of effective communication strategies related to diet and health. This will not only help policy makers design regulatory and legal polices that promote health, but will also help the food industry to develop products that better match consumers’ interests. The purpose of this study is to present the number of articles or transcripts in the media, which will be used to produce information trend indicators, and to suggest the distributed time lags among the information sources. Since consumers’ knowledge is not observable, one of the ways to measure the impact of information on food demand is to develop some indicators of consumers’ exposure to the information. In this study, the articles or transcripts in the media and scientific journals about omega-3 fatty acids are investigated. Omega-3 fatty acids have received growing attention due to their several health benefits such that they help to reduce the risk of cardiovascular disease. The use of omega-3 heart claims on food labeling was approved by the FDA in 2004.Food Consumption/Nutrition/Food Safety,

Media Impact of Nutrition Information on Food Choice

This study estimated the impact of nutrition information provided by popular media on consumers’ purchases in U.S. grocery stores, taking omega-3 fortified eggs as an example. The media index was constructed from multiple information sources by utilizing computer-coded content analysis. Their probability of purchasing omega-3 eggs between 1998 and 2007 based on household-level scanner data was analyzed by logistic regression models to incorporate elements of information effects. The results showed the significant positive impact of nutritional information from the popular media on consumers’ food choices, thus publishing in popular media can be an effective communication approach to promote consumers’ health.Consumer Economics, Content Analysis, Functional Food, Information economics, Logit, Omega-3 Fatty Acids, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, D12, D83,

Peace in Vietnam! Beheiren: Transnational Activism and GI Movement in Postwar Japan 1965-1974.

Ph.D. Thesis. University of Hawaiʻi at Mānoa 2018

Modeling with structure of resins in electonic compornents

In recent years, interfacial fracture becomes one of the most important problems in the assessment of reliability of electronics packaging. Especially, underfill resin is used with solder joints in flip chip packaging for preventing the thermal fatigue fracture in solder joints. In general, the interfacial strength has been evaluated on the basis of interfacial fracture mechanics concept. However, as the size of devices decrease, it is difficult to evaluate the interfacial strength quantitatively. Most of researches in the interfacial fracture were conducted on the basis of the assumption of the perfectly bonding condition though the interface has the micro-scale structure and the bonding is often imperfect. In this study, the mechanical model of the interfacial structure of resin in electronic components was proposed. Bimaterial model with the imperfect bonding condition was examined by using a finite element analysis (FEA). Stress field in the vicinity of interface depends on the interfacial structure with the imperfect bonding. In the front of interfacial crack tip, the behavior of process zone is affected by interfacial structure. However, the instability of fracture for macroscopic crack which means the fracture toughness is governed by the stress intensity factor based on the fracture mechanics concept.Comment: Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions

Cost-Efficient Data Backup for Data Center Networks against {\epsilon}-Time Early Warning Disaster

Data backup in data center networks (DCNs) is critical to minimize the data loss under disaster. This paper considers the cost-efficient data backup for DCNs against a disaster with $\varepsilon$ early warning time. Given geo-distributed DCNs and such a $\varepsilon$-time early warning disaster, we investigate the issue of how to back up the data in DCN nodes under risk to other safe DCN nodes within the $\varepsilon$ early warning time constraint, which is significant because it is an emergency data protection scheme against a predictable disaster and also help DCN operators to build a complete backup scheme, i.e., regular backup and emergency backup. Specifically, an Integer Linear Program (ILP)-based theoretical framework is proposed to identify the optimal selections of backup DCN nodes and data transmission paths, such that the overall data backup cost is minimized. Extensive numerical results are also provided to illustrate the proposed framework for DCN data backup