A Pilot Study Of The Effectiveness And Usability Of The Myenergybalance Iphone App And Website

The powerful technical capabilities of smartphones offer unprecedented opportunities for collecting dietary information. We have developed an enhanced smartphone application called MyEnergyBalance, which permits imaged-based self-monitoring of all foods consumed, and links to a convenient and user-friendly web-based dietary assessment tool. The primary objective of this pilot study was to determine if the MyEnergyBalance app (with use of images) in combination of the associated website improves dietary recall compared to diet analysis on the MyEnergyBalance website alone. We also generated preliminary data on the usability of the MyEnergyBalance iPhone app and website. This pilot study was a crossover study design of healthy, college students. Participants were randomly assigned to two groups. Both groups consumed their normal diet for the first day with one group recording their food intake with image functions of the MyEnergyBalance app, while the other group did not use the app. On the second day, all participants logged into the MyEnergyBalance website to record their food intake from the previous day; one group using the images from the app to assist in recalling what they ate, while the other group recalled what they ate from memory. The diet analysis results were compared to those obtained using the ASA24 website. The groups were then crossed over to the opposite vs no-image assisted recalls. Ten participants (seven females and three males) aged 20 to 22 years completed this study. The average BMI of all participants was 23.12 kg/m2 (ranging from 18.95 to 32.28 kg/m2). There was no statistically significant differences in the estimates of the energy intake between the MyEnergyBalance app and website compared to ASA24. The SUS mean score for the MyEnergyBalance app and website was 86 and 69.5, respectively. A strong, negative correlation was found between the system usability scale scores and the absolute differences in energy intake of the MyEnergyBalance app and ASA24. Although we were not able to demonstrate a significant benefit of the images from the iPhone app at improving food recall (perhaps due to the small study sample size), we were able to demonstrate a high usability score for the iPhone app, average usability score for the website, and a significant correlation between subjects\u27 usability scores and relative accuracy of the subjects\u27 food recall using the images from the iPhone app. A future study with a larger sample size will hopefully provide more information on the efficacy of image-based food recalls

The QUIC Fix for Optimal Video Streaming

Within a few years of its introduction, QUIC has gained traction: a significant chunk of traffic is now delivered over QUIC. The networking community is actively engaged in debating the fairness, performance, and applicability of QUIC for various use cases, but these debates are centered around a narrow, common theme: how does the new reliable transport built on top of UDP fare in different scenarios? Support for unreliable delivery in QUIC remains largely unexplored. The option for delivering content unreliably, as in a best-effort model, deserves the QUIC designers' and community's attention. We propose extending QUIC to support unreliable streams and present a simple approach for implementation. We discuss a simple use case of video streaming---an application that dominates the overall Internet traffic---that can leverage the unreliable streams and potentially bring immense benefits to network operators and content providers. To this end, we present a prototype implementation that, by using both the reliable and unreliable streams in QUIC, outperforms both TCP and QUIC in our evaluations.Comment: Published to ACM CoNEXT Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ

Farm Animal Welfare, Consumer Willingness to Pay, and Trust: Results of a Cross-National Survey

Higher animal welfare standards increase costs along the supply chain of certified animal-friendly products (AFP). Since the market outcome of certified AFP depends on consumer confidence toward supply chain operators complying with these standards, the role of trust in consumer willingness-to-pay (WTP) for AFP is paramount. Results from a contingent valuation survey administered in five European Union countries show that WTP estimates were sensitive to robust measures of consumer trust for certified AFP. Deriving the WTP effect of a single food category on total food expenditure is difficult for survey respondents; hence, a budget approach was employed to facilitate this process.Animal welfare, certification, consumer trust, WTP, budget approach, Crop Production/Industries, Environmental Economics and Policy, Farm Management, Livestock Production/Industries, C81, Q13, Q18,

ASPIRE: Activity Safety Planning and Infection Risk Estimator for COVID-19

The COVID-19 pandemic has prompted multiple researchers to investigate this domain since 2020. One aspect being explored in this topic is the available tools in assisting the public in estimating virus risks. Due to the limited availability of the tools, Jimenez and Peng created the Aerosol Transmission Estimator, which is a peer-reviewed risk estimator that garnered positive reception. The tool is encoded in Google sheets. However, people may find it difficult to use due to the terminologies and information presented in that sheet. To solve this, MyCOVIDRisk, a user-friendly website was built for this estimator, but it is only configured for the United States setting. Accordingly, this study created a website called ASPIRE using Jimenez and Peng’s estimator to evaluate the risk and MyCOVIDRisk as reference for the interface design. ASPIRE is configured for the Philippine setting. The usability of ASPIRE was evaluated through surveys and interviews using the System Usability Scale (SUS) and content analysis. The SUS used for measuring usability yielded a grade of A—above average. The overall feedback of the respondents was mostly positive. Issues and suggestions raised by the respondents were addressed. Further research is needed to improve ASPIRE, determine its usability to medical professionals, learn its accessibility and inclusivity to users, and identify its impact on the Philippine community. Overall, this study shows how a COVID-19 risk estimation website was developed and improved based on user evaluation, which can be used as a reference in creating e-health tools

Search Engine Optimization

This Special Issue book focuses on the theory and practice of search engine optimization (SEO). It is intended for anyone who publishes content online and it includes five peer-reviewed papers from various researchers. More specifically, the book includes theoretical and case study contributions which review and synthesize important aspects, including, but not limited to, the following themes: theory of SEO, different types of SEO, SEO criteria evaluation, search engine algorithms, social media and SEO, and SEO applications in various industries, as well as SEO on media websites. The book aims to give a better understanding of the importance of SEO in the current state of the Internet and online information search. Even though SEO is widely used by marketing practitioners, there is a relatively small amount of academic research that systematically attempts to capture this phenomenon and its impact across different industries. Thus, this collection of studies offers useful insights, as well as a valuable resource that intends to open the door for future SEO-related research

Residential Self-Selection and Travel:

Most Western national governments aim to influence individual travel patterns – at least to some degree – through the spatial planning of residential areas. Nevertheless, the extent to which the characteristics of the built environment influence travel behaviour remains the subject of debate among travel behaviour researchers. This work addresses the role of residential-self-selection, an important issue within this debate. Households may not only adjust their travel behaviour to the built environment where they live, but they may also choose a residential location that corresponds to their travel-related attitudes. The empirical analysis in this work is based on data collected through an internet survey and a GPS-based survey, both of which were conducted among homeowners in three centrally located municipalities in the Netherlands. The study showed that residential self-selection has some limited effect on the relationship between distances to activity locations and travel mode use and daily kilometres travelled. The results also indicate that the inclusion of attitudes can help to detecting residential self-selection, provided that studies comply with several preconditions, such as the inclusion of the ‘reversed’ influence of behaviour on attitudes

Library usability in higher education: how user experience can form library policy

The university library has been called “the heart of a university”, but in the past has been described as being “virtually unusable”. This exploratory study is an investigation into user experience and usability in university libraries in the UK, and aims to examine the difference between users’ experience and their expectations of using their university library. It will also investigate university library policies to determine how a user experience policy can help to improve users’ experience. A user survey was carried out at three UK university libraries, using a questionnaire which asks participants to give their current opinions on their experience of 12 usability properties, and then to rate their expectations of each of the 12 properties. This means that it is then possible to calculate the gap between how the users rate the usability of the library, and how usable it should be. Additionally, a website survey of 121 UK universities was undertaken to see which types of policies UK university libraries have in place, whether a policy for user experience factors exists at these institutions, and if so what the policy covers. The findings show the areas where the largest gaps between expectations and experience occur. One of the largest gaps at the three institutions concerns the adequacy of the information that users are able to retrieve, and this can be addressed by either improving the library’s performance in this area, or by managing the expectations of library users. The website survey of library policies shows that while there is a core of seven types of library policy, user experience policies are unusual. Library user experience and usability is undoubtedly a field growing in importance in the eyes of librarians and researchers. By taking the “lived experiences” of users into account, and doing this in conjunction with a user experience policy, the university library can become a place of continuous improvement

A survey of statistical network models

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.Comment: 96 pages, 14 figures, 333 reference