DEMAND FOR HEALTHY FOOD IN THE UNITED STATES

This study investigates the demand for selected healthy food groups in the United States. The original linear approximate almost ideal demand system (LA/AIDS) is modified by the use of a Laspeyres index and a normalization in order to compute demand elasticities identically to the AIDS model. The results of this study suggest that poultry is the most price elastic while cereals are the least price elastic. Fresh fruits and fresh vegetables are more price elastic than processed fruits and processed vegetables. Increasing income would induce the increases in the consumption of fresh vegetables and fruits more than that of cereals and bakery products, while increasing health risk concerns would induce the decreases in the consumption of bakery products and poultry but the increases in the consumption of fresh vegetables and cereals. The demographic variables exhibit certain effects on the demand for some healthy food groups and seasonal fluctuations statistically exist in the consumption of all food groups under study.AIDS model, elasticity, healthy food, household demand, United States, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety,

Structural and functional models for methane monooxygenase

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemistry, 1991.Includes bibliographical references.by Xudong Feng.Ph.D

Narrowing the wealth and income gap in Poland, China, and the United States

With the widespread of globalization, the wealth gap continues to widen globally. Due to the enormous differences in national conditions and political systems of various countries, this article selects China, the United States, and Poland as the research objects, and uses a specific time unit as the benchmark, and mainly focuses on the four directions of medical care, education, job opportunities, and pensions. A reader could understand the correlation between the wealth gap and multiple factors deeply in this article. This article analyzes the impact of income disparity on these three countries and proposes solutions to help narrow the gap between the rich and poor in these three countries

A multi-demand negotiation model based on fuzzy rules elicited via psychological experiments

This paper proposes a multi-demand negotiation model that takes the effect of human users’ psychological characteristics into consideration. Specifically, in our model each negotiating agent's preference over its demands can be changed, according to human users’ attitudes to risk, patience and regret, during the course of a negotiation. And the change of preference structures is determined by fuzzy logic rules, which are elicited through our psychological experiments. The applicability of our model is illustrated by using our model to solve a problem of political negotiation between two countries. Moreover, we do lots of theoretical and empirical analyses to reveal some insights into our model. In addition, to compare our model with existing ones, we make a survey on fuzzy logic based negotiation, and discuss the similarities and differences between our negotiation model and various consensus models

Lattice strain effects on the optical properties of MoS2 nanosheets.

"Strain engineering" in functional materials has been widely explored to tailor the physical properties of electronic materials and improve their electrical and/or optical properties. Here, we exploit both in plane and out of plane uniaxial tensile strains in MoS2 to modulate its band gap and engineer its optical properties. We utilize X-ray diffraction and cross-sectional transmission electron microscopy to quantify the strains in the as-synthesized MoS2 nanosheets and apply measured shifts of Raman-active modes to confirm lattice strain modification of both the out-of-plane and in-plane phonon vibrations of the MoS2 nanosheets. The induced band gap evolution due to in-plane and out-of-plane tensile stresses is validated by photoluminescence (PL) measurements, promising a potential route for unprecedented manipulation of the physical, electrical and optical properties of MoS2

A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning

Deep reinforcement learning (DRL) has made significant achievements in many real-world applications. But these real-world applications typically can only provide partial observations for making decisions due to occlusions and noisy sensors. However, partial state observability can be used to hide malicious behaviors for backdoors. In this paper, we explore the sequential nature of DRL and propose a novel temporal-pattern backdoor attack to DRL, whose trigger is a set of temporal constraints on a sequence of observations rather than a single observation, and effect can be kept in a controllable duration rather than in the instant. We validate our proposed backdoor attack to a typical job scheduling task in cloud computing. Numerous experimental results show that our backdoor can achieve excellent effectiveness, stealthiness, and sustainability. Our backdoor's average clean data accuracy and attack success rate can reach 97.8% and 97.5%, respectively

The Association of Parent-Child Communication With Internet Addiction in Left-Behind Children in China: A Cross-Sectional Study

Objective: Internet addiction has emerged as a growing concern worldwide. This study aimed to compare the prevalence of Internet addiction between left-behind children (LBC) and non-left-behind children (non-LBC), and explore the role of paternal and maternal parent-child communication on LBC. Methods: We conducted a cross-sectional survey in rural areas in Anhui, China. The complete data were available from 699 LBC and 740 non-LBC. Multivariable logistic regression was used to examine 1) whether LBC were more likely to develop Internet addiction, and 2) the association between parent-child communication and Internet addiction among LBC. Results: LBC had a higher likelihood to report Internet addiction when compared to non-LBC (OR = 2.03, 95%CI = 1.43–2.88, p \u3c 0.001). Among LBC, parent-child communication (both mother-child and father-child) was protective factor for children’s Internet addiction. The role of mother-child communication played well among male LBC. Conclusions: The lack of parental supervision may lead to Internet addiction. It is highly recommended for migrant parents to improve the quality of communication with their children. Also, gender-matching effects should be considered in the relationship between children’s behavior and parental factors