A new, Internet-based Food Recall Checklist (FoRC) was developed to assess students diet; a checklist of 121 foods consumed on the previous day which was completed on multiple days.  FoRC was validated against a non-weighted diet record in two studies (n=94).  Novel feedback messages for students were created and software was developed to link these messages to results from individual dietary assessment in FoRC.  An intervention trial was planned to measure students’ diet and to deliver tailored nutrition messages via the Internet, to assess whether tailored dietary feedback could help to promote healthy diet change. General dietary intake of the sample was analysed using one-day diet records from 459 undergraduate students.  The dietary intake of the sample of students was found to be healthier than participants aged 19-24 years in the UK-wide National Diet and Nutrition Survey.  However, there was evidence of poor dietary habits; Non-Milk Extrinsic Sugars (NMES) intake exceeded the maximum daily guideline intake and fruit and vegetable and Non-Starch Polysaccharide intakes did not meet recommendations. There was also evidence of excessive consumption of unhealthy foods, such as alcohol, crisps and confectionary. Change in dietary intake was assessed in an <i>intervention </i>group and <i>control </i>group.  The <i>intervention </i>group received feedback after baseline, three and six month completion of four days of FoRC.  The retention rate was very low, but in participants who completed the protocol NMES intake significantly decreased in the <i>intervention </i>group at six  months compared to the <i>control </i>group (p=0.017). It was concluded that monitoring diet in students may still be an important public health objective; students may be relatively healthy, but may still benefit from nutrition surveillance and advice.

No description available.

Hu, Yong. / Thesis submitted in: October 2007. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (p. 127-129). / Abstracts in English and Chinese. / Chapter Chapter 1. --- Introduction --- p.1 / Chapter 1.1. --- Background and Motivation --- p.1 / Chapter 1.2. --- Objectives of the Thesis --- p.3 / Chapter 1.3. --- Scope of the Thesis --- p.6 / Chapter 1.4. --- Structure of the Thesis --- p.6 / Chapter Chapter 2. --- Review of Related Technologies --- p.8 / Chapter 2.1. --- Scope and Requirements of the Supply Chain Traceability --- p.9 / Chapter 2.2. --- Automatic Identification and Data Collection Technologies --- p.14 / Chapter 2.2.1. --- Introduction to the AIDC Technologies --- p.14 / Chapter 2.2.1.1. --- The Barcode --- p.14 / Chapter 2.2.1.2. --- The Radio Frequency Identification (RFID) --- p.17 / Chapter 2.2.1.3. --- The Sensors for Food --- p.19 / Chapter 2.2.1.4. --- The Global Positioning System (GPS) --- p.23 / Chapter 2.2.2. --- Frequencies of the RFID Systems --- p.25 / Chapter 2.2.3. --- Encoding Mechanisms for the RFID Tags and Barcode Labels --- p.30 / Chapter 2.3. --- Standards and Specifications of the EPCglobal --- p.34 / Chapter 2.3.1. --- The EPCglobal Architecture Framework --- p.34 / Chapter 2.3.2. --- The EPCglobal EPCIS Specification --- p.39 / Chapter 2.3.3. --- The EPCglobal Tag Data Standards --- p.42 / Chapter 2.4. --- RFID Applications in Food Supply Chain Management --- p.43 / Chapter 2.5. --- Anti-counterfeit Technologies and Solutions --- p.45 / Chapter 2.6. --- Data Compression Algorithms --- p.47 / Chapter 2.7. --- Shelf Life Prediction Models --- p.49 / Chapter Chapter 3. --- Architecture and Scope of the Application System --- p.54 / Chapter 3.1. --- Application System Architecture --- p.54 / Chapter 3.2. --- Application System Scope --- p.55 / Chapter Chapter 4. --- The Tracking and Tracing Management Module --- p.60 / Chapter 4.1. --- Overview --- p.60 / Chapter 4.2. --- AIDC Technologies Adopted for the Traceable Items --- p.62 / Chapter 4.3. --- Mechanism to Achieve the Nested Visibility --- p.70 / Chapter 4.4. --- Information Integration in the EPCIS --- p.75 / Chapter 4.5. --- Anti-counterfeit Mechanism --- p.82 / Chapter Chapter 5. --- The Storage and Transportation Monitoring Module --- p.90 / Chapter 5.1. --- Overview --- p.90 / Chapter 5.2. --- Compression of the Sensor Data --- p.93 / Chapter 5.3. --- Management of the Sensor Data --- p.95 / Chapter 5.4. --- Responsive Warning Mechanism --- p.102 / Chapter Chapter 6. --- The Sensor Networks Enabled Assessment Module --- p.108 / Chapter 6.1. --- Overview --- p.108 / Chapter 6.2. --- Management of the Sensor Network Data --- p.110 / Chapter 6.3. --- Active Warning Mechanism --- p.114 / Chapter Chapter 7. --- Conclusions --- p.122 / Chapter 7.1. --- Contributions --- p.122 / Chapter 7.2. --- Future Work --- p.124

Thesis (Ph. D.)--Case Western Reserve University, 2007. / [School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.

This thesis presents new methods to improve open stope hangingwall (HW) design based on knowledge gained from site visits, observations, and data collection at underground mines in Canada, Australia, and Kazakhstan. The data for analysis was collected during 2 months of research at the Hudson Bay Mining and Smelting Ltd. Callinan Mine in Flin Flon, Manitoba, a few trips to the Cameco Rabbit Lake mine in northern Saskatchewan, and 3 years of research and employment at the Xstrata Zinc George Fisher mine near Mount Isa, Queensland, Australia. Other sites visited, where substantial stope stability knowledge was accessed include the Inco Thompson mines in northern Manitoba; BHP Cannington mine, Xstrata Zinc Lead Mine, and Xstrata Copper Enterprise Mine, in Queensland, Australia; and the Kazzinc Maleevskiy Mine in north-eastern Kazakhstan. An improved understanding of stability and design of open stope HWs was developed based on: 1) Three years of data collection from various rock masses and mining geometries to develop new sets of design lines for an existing HW stability assessment method; 2) The consideration of various scales of domains to examine HW rock mass behaviour and development of a new HW stability assessment method; 3) The investigation of the HW failure mechanism using analytical and numerical methods; 4) An examination of the effects of stress, undercutting, faulting, and time on stope HW stability through the presentation of observations and case histories; and 5) Innovative stope design techniques to manage predicted stope HW instability. An observational approach was used for the formulation of the new stope design methodology. To improve mine performance by reducing and/or controlling the HW rock from diluting the ore with non-economic material, the individual stope design methodology included creating vertical HWs, leaving ore skins or chocks where appropriate, and rock mass management. The work contributed to a reduction in annual dilution from 14.4% (2003) to 6.3% (2005), an increase in zinc grade from 7.4% to 8.7%, and increasing production tonnes from 2.1 to 2.6 Mt (Capes et al., 2006).

This thesis describes the design of a RISC architecture for high speed data acquisition. The structure of existing data acquisition systems is first examined. An instruction set is created to allow the data acquisition system to serve a wide variety of applications. The architecture is designed to allow the execution of an instruction each clock cycle. The utility of the RISC system is illustrated by implementing several representative applications. Performance of the system is analyzed and future enhancements discussed. / Graduation date: 1992

This thesis presents new methods to improve open stope hangingwall (HW) design based on knowledge gained from site visits, observations, and data collection at underground mines in Canada, Australia, and Kazakhstan. The data for analysis was collected during 2 months of research at the Hudson Bay Mining and Smelting Ltd. Callinan Mine in Flin Flon, Manitoba, a few trips to the Cameco Rabbit Lake mine in northern Saskatchewan, and 3 years of research and employment at the Xstrata Zinc George Fisher mine near Mount Isa, Queensland, Australia. Other sites visited, where substantial stope stability knowledge was accessed include the Inco Thompson mines in northern Manitoba; BHP Cannington mine, Xstrata Zinc Lead Mine, and Xstrata Copper Enterprise Mine, in Queensland, Australia; and the Kazzinc Maleevskiy Mine in north-eastern Kazakhstan. An improved understanding of stability and design of open stope HWs was developed based on: 1) Three years of data collection from various rock masses and mining geometries to develop new sets of design lines for an existing HW stability assessment method; 2) The consideration of various scales of domains to examine HW rock mass behaviour and development of a new HW stability assessment method; 3) The investigation of the HW failure mechanism using analytical and numerical methods; 4) An examination of the effects of stress, undercutting, faulting, and time on stope HW stability through the presentation of observations and case histories; and 5) Innovative stope design techniques to manage predicted stope HW instability. An observational approach was used for the formulation of the new stope design methodology. To improve mine performance by reducing and/or controlling the HW rock from diluting the ore with non-economic material, the individual stope design methodology included creating vertical HWs, leaving ore skins or chocks where appropriate, and rock mass management. The work contributed to a reduction in annual dilution from 14.4% (2003) to 6.3% (2005), an increase in zinc grade from 7.4% to 8.7%, and increasing production tonnes from 2.1 to 2.6 Mt (Capes et al., 2006).

Given the increasing influence of technology and the explosion in data collection demands, the acceptance and assimilation of new paradigms and technologies require today’s educators, researchers, and evaluators to select appropriate tools and apply them effectively. One of these technologies—handheld computers—makes the benefits of computerized data collection more accessible to field-based researchers. Three related studies were conducted to evaluate handheld-based data collection system for use in special education settings and to highlight the acceptability factors to effectively use this emerging technology. The first study reviewed the recent literature on the dependability and willingness of teachers to adopt handheld data collection systems and emphasized five important factors: (1) perceived ease of use; (2) perceived usefulness; (3) intention to use; (4) dependability; and (5) subjective norms. The second study discussed the dependability of handheld computers used by special education teachers for collecting self-report data by addressing four dependability attributes: reliability, maintainability, availability, and safety. Data were collected from five sources: (1) self-reports of time use by 19 special education teachers using Pocket PC computers, (2) observations of time use from eight external data collectors, (3) teacher interviews, (4) technical reports prepared by the researcher, and (5) teacher satisfaction. Results indicated that data collection via handheld computers yielded accurate, complete, and timely data, and was appropriate for these four dependability attributes. The last study investigated teachers’ acceptance of handheld computer use by testing the relationship among five factors that influence intention to use this technology which was based on a modified version of the technology acceptance model using the handheld computer acceptance survey responses from 45 special education teachers. The results showed that intention to use handheld computer was directly affected by the devices’ perceived usefulness and perceived ease of use. The issue of dependability had a direct and indirect statistically significant effect on perceived ease of use and usefulness, and intention to use a handheld computer, respectively. Overall, three studies demonstrated that handheld computers can be effectively used in the direct observation of behavior in a school environment, without requirements of any settings.

Wireless Sensor Network (WSN) has become a popular wireless technology in recent years. In WSN, a large number of sensors are used to collect data and forward data hop-by-hop to a sink. Due to the unbalancing of traffic load, some grid nodes may consume more energy and their packet loss ratio may be increased as well. In order to improve above-mentioned shortcomings, in this Thesis, we propose an Adaptive Grid-based Data Collection (AGDC) scheme. Because a mobile sink may move, it is possible the traffic load of primary grid nodes can be changed in WSN. According to the distribution of traffic load, the AGDC can adjust transmission range to allocate one or more temporary grid nodes between two primary grid nodes. Through the added temporary grid nodes, traffic load is evenly dispersed among different grid nodes. We allow the primary grid nodes to use smaller transmission power to save energy and allow the temporary grid nodes to buffer data to reduce packet loss ratio. For the purpose of evaluation, we perform simulation on NS-2. With the proposed AGDC scheme, the transmission range of a primary grid node can be set to an appropriate distance to reduce power consumption and packet loss ratio. Since the packet loss ratio is reduced, the throughput of entire WSN is increased.

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: DFA; fractal analysis; knee pads. Includes bibliographical references (p. 61-62).