Background: Growing evidence shows that fixed, nonpersonalized daily step goals can discourage individuals, resulting in unchanged or even reduced physical activity. Objective: The aim of this randomized controlled trial (RCT) was to evaluate the efficacy an automated mobile phone–based personalized and adaptive goal-setting intervention using machine learning as compared with active control steady 10,000. Methods: In 10-week RCT, 64 participants were recruited via email announcements...

Identifying individuals who are unlikely to adhere a physical exercise regime has potential improve activity interventions. The aim of this paper is develop and test adherence prediction models using objectively measured data in the Mobile Phone-Based Physical Activity Education program (mPED) trial. To best our knowledge, first apply Machine Learning methods predict relapse accelerometer-recorded data. We use logistic regression support vector machine design two versions Discontinuation...

Abstract This paper describes the planning of a patient preference study for evaluating device features subcutaneous (SC) delivery high dose/large volume (e.g., > 2 ml) drugs. Multiple sources, including qualitative interviews, involvement partners, and solicitation advice from US Food Drugs Administration (FDA), were used to refine attributes levels in development protocol investigate what Sclerosis (MS) patients consider important regarding medical dose SC administration.

Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or guidelines general and, particular, for women who are less likely to be physically active than men.The aims this report identify clusters based on accelerometer-measured baseline raw metabolic equivalent task (MET) values and a normalized version METs ≥3 data, compare sociodemographic cardiometabolic risks among these identified clusters.A total 215 were enrolled Mobile...

In current cities, the number of vehicles grows rapidly especially in developing countries, and traffic surveillance system usually has tens thousands cameras connected into a huge network. Hence volume data generated by becomes astronomical. So it is great challenge to process utilize these big resources effectively efficiently. Towards this end, paper proposes which provides novel service vehicle trajectory search for urban surveillance. system, smart extract IDs with time information when...

Ongoing student feedback on course content and assignments can be valuable for MOOC instructors in the absence of face-to-face-interaction. To collect ongoing scalably identify suggestions, we built Collaborative Assessment Feedback Engine (M-CAFE). This mobile platform allows students to numerically assess course, their own performance, provide textual suggestions about how could improved a weekly basis. M-CAFE visualize they compare with peers read evaluate what others have suggested,...

Changes in lateral clearance are prone to drastic changes the driving environment at entrance and exit of tunnel, which can cause a driver become psychologically stressed deviate from center lane, thus creating greater security risk. However, most existing regulations studies only focus on horizontal vertical alignment tunnel entrances exits, there few influence behavior. This study hired 15 random subjects conduct real vehicle tests eight tunnels expressways with 3 design speeds by using...

During MOOCs and large on-campus courses with limited face-to-face interaction between students instructors, assessing improving teaching effectiveness is challenging. In a 2014 study on course-monitoring methods for [30], qualitative (textual) input was found to be the most useful. Two challenges in collecting such ongoing course evaluation are insuring student confidentiality developing platform that incentivizes manages from many students. To collect manage ("just-in-time") feedback while...

The design and assessment of development initiatives is increasingly participatory, where decision makers consider feedback from affected populations. While digital data collection facilitates faster more reliable analysis, existing tools are not optimized for unstructured qualitative (textual) peer-to-peer participant collaboration. In this paper, we propose a system called the Development Collaborative Assessment Feedback Engine version 1.0 (DevCAFE), customizable participatory platform...

<title>Abstract</title> This paper describes the planning of a patient preference study for evaluating device features and administrative solutions subcutaneous (SC) delivery high doses / large volumes (e.g., &gt;2mL) drugs. A mixed-methods approach was used including qualitative research studies, involvement partners, solicitation advice from FDA. resulted in development protocol to investigate what Multiple Sclerosis patients consider important regarding medical dose SC administration,...

This study aims to investigate the effectiveness of some audio-visual learning materials in Chinese adult e-learners' autonomous language learning. 60 participants were randomly assigned two groups, with 30 members each. One group was taken as experimental group, and other deemed control group. The received 19 units video about English grammar got text-only materials. post-test at end two-month experiment indicated that had been more effective than questionnaire survey administered also...

In order to improve quality of wheelset assembly, a method for calculating interference between two sliding asperities that corresponding the assembly is presented. A finite element model spherical asperity has been built with software ABAQUS analyze interaction among mating surface roughness, stress-strain state and press-fit curve. This study shows final fitting force greatly increases roughness when lower then 1.8μm it unpredicted higher. Contact stress friction coefficient surfaces...

M-CAFE 2.0 is an online and mobile platform that uses collaborative filtering to collect organize student feedback each week throughout a MOOC or on-campus course facilitate mid-course corrections by instructors. encourages students assess content, structure, suggestions provided their peers. It requires minimal extra effort from instructors anonymous separate all records. We present results three pilot studies undergraduate courses with 1,211 evaluations 5,221 peer-ratings 169 students....

<sec> <title>BACKGROUND</title> Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or guidelines general and, particular, for women who are less likely to be physically active than men. </sec> <title>OBJECTIVE</title> The aims this report identify clusters based on accelerometer-measured baseline raw metabolic equivalent task (MET) values and a normalized version METs ≥3 data, compare sociodemographic cardiometabolic risks...

Background: Determining patterns of physical activity throughout the day could assist in developing more personalized interventions or guidelines general, and particular for women, who are less likely to be physically active than men. Objective: The aims this report identify clusters women based on accelerometer measured raw metabolic equivalent values (METs) a normalized version METs ≥ 3 data compare sociodemographic cardio risks among these identified clusters. Methods: 215 wearing an at...