Compliance and Practical Utility of Continuous Wearing of activPAL™ in Adolescents

Purpose: The aim of this study was to examine the factors that influence compliance and practical utility of a continuous wear protocols for activPAL™ among adolescents. Methods: Seven hundred and fifty-five (11–18 y; 50.6% girls) students wore the waterproof activPAL™ for 7 consecutive days. The effects of factors such as weather and practical strategies on compliance were assessed. Students were asked to note reasons for removing it in a log. After the 7-day period, students anonymously completed a practical utility questionnaire. Results: The final sample used to analyze compliance contained 588 available data points; 72.4% met the validity criteria, which were ≥4 valid days. Rainfall was inversely associated with total wear time, whereas using alcohol pads and cartoon stickers during the application were positively associated with total wear time. Sweating (25.2%) and skin irritation (39.0%) were the most reasons for 290 removal episodes by 235 students. The 131 questionnaires showed that 80.1% regarded the continuous wear period as too long and encountered problems, and 55% would rather not wear it again. Conclusion: Rainy weather affected girls’ compliance with the continuous wear protocol for activPAL™. Skin irritation and sweat-induced inadvertent drops caused removal. Future studies should investigate more user-friendly protocols.

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Implementation of “Epic Healthy Planet” registry for survivorship care coordination.

Journal of Clinical Oncology ◽

10.1200/jco.2020.39.28_suppl.337 ◽

2021 ◽

Vol 39 (28_suppl) ◽

pp. 337-337

Author(s):

Karen Kinahan ◽

Bijal Desai ◽

Michele Volpentesta ◽

Margo Klein ◽

Melissa Duffy ◽

...

Keyword(s):

Medical Oncology ◽

Discrete Data ◽

Mandatory Reporting ◽

Survivorship Care ◽

Management Tools ◽

Noticeable Increase ◽

Episode Of Care ◽

Data Points ◽

User Friendly

337 Background: The evolving Commission on Cancer (CoC) reporting mandate and institution’s growing survivorship program led to identifying the need for systematic tracking of survivorship patients, surveillance tests, return appointments and referrals placed. Our aim was to develop an electronic medical record (EMR) integrated registry utilizing discrete data fields to assist our team in tracking key elements of high-quality survivorship care. Methods: Stakeholders from our survivorship team (APP/RN), medical oncology, psychology, research, operations and IT analytics reached consensus on essential discrete EMR fields to be included in the registry. For implementation we utilized the EPIC module, “Healthy Planet”, where patients enter the registry by initiating an “Episode of Care” at their initial survivorship visit. SmartForm fields create unique discrete patient data points identified by the stakeholders. Results: The following domains were identified as important elements of care that require tracking in a dedicated survivorship program. The registry domains populate from two sources: 1) currently existing EMR data fields, 2) domains with no currently discrete data (e.g. lymphedema, peripheral neuropathy) were captured in the developed SmartForm (see Table). From January 1, 2019 to June 1, 2021, 778 patients were entered into the registry. Since September 4, 2020, 112 patient follow-up appointment reminders were sent via EMR which has led to a noticeable increase in return appointments. SmartForm data fields are being amended as additional malignancy types are added to our survivorship program. Conclusions: The utilization of Healthy Planet is an effective and user-friendly way to track survivorship return appointments, remind providers of diagnostic tests that are due, and track referrals for CoC reporting. As the numbers of cancer survivors continues to increase, systematic population management tools are essential to ensure adherence to survivorship guideline recommendations, follow-up care and mandatory reporting.[Table: see text]

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Vocabulary Teaching and Learning Principles in Classroom Practices

10.31235/osf.io/fwv6k ◽

2017 ◽

Author(s):

Arab World English Journal ◽

Nur Salina Ismail ◽

Safawati Basirah Zaid ◽

Misrah Hamisah Mohamed ◽

Nurazan Mohd Rouyan

Keyword(s):

Teaching And Learning ◽

Classroom Practices ◽

Learning Methods ◽

Future Studies ◽

Proficiency Level ◽

Common Practices ◽

Data Points ◽

The Common ◽

Learning Principles ◽

Effective Teaching And Learning

Vocabulary teaching and learning principles assist in providing effective teaching and learning methods, in accordance with the learners’ proficiency level. However, studies that looked into the relevancy of those principles are rather limited. Thus, this study focuses on finding the common practices of vocabulary teaching and learning principles in the classroom. Interviews involving three experts were done to determine their vocabulary teaching and learning principles application in their teaching. Based on the data analysed using Atlas t.i, out of ten Vocabulary Teaching and Learning Principles, only eight were practiced by the participants. The findings revealed that these experts, even though practice the principles, the approaches were varied. Finally, the data points to the need for future studies on the importance of having good vocabulary instructions in teaching and learning vocabulary.

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Abstract W P191: Patient Compliance High with Long-Term Continuous ECG Monitor

Stroke ◽

10.1161/str.46.suppl_1.wp191 ◽

2015 ◽

Vol 46 (suppl_1) ◽

Author(s):

Judith C Lenane ◽

Angela J Fought ◽

Jay H Alexander

Keyword(s):

San Francisco ◽

Patient Compliance ◽

Cryptogenic Stroke ◽

Standard Of Care ◽

Interquartile Range ◽

Ecg Monitoring ◽

Wear Time ◽

Stroke Population ◽

Total Wear

Introduction: Long term ECG monitoring to detect atrial fibrillation in a cryptogenic stroke is now the emerging standard of care. The advent of patch based ECG monitors raises the question of patient compliance with this new modality. Hypothesis: We assessed the hypothesis that patient compliance, as measured by Leads-On detection for patch based ECG monitoring, is constant over time. Methods: We performed a retrospective analysis from ZIO® Patch (Patch) devices (iRhythm, San Francisco, CA). The Patch is a continuous recording single lead ECG monitor that can be worn for up to 14 days. The primary endpoint of Leads-On is the percentage of time the device is applied to the patient during the wear period, which was derived from a second channel in the device. The data are gathered by ZEUS software and exported in a CSV file. The compliance data were analyzed overall and in categories at days: 0-1, 1-2, 2 to 7, >7 to 10 and >10 to 14. A secondary endpoint, percent Analyzable Time (percentage of ECG record that was available for detection by the algorithm during the wear period and signifies signal quality), was assessed for the same time increments. Results: The dataset consisted of 18,885 records. The total wear time ranged from 0.10 up to 14.01 days, with a median of 12.51. The medians and interquartile ranges for the percent Leads On and percent of Analyzable Time were 100% (99.99-100%) and 97.99% (94.64-99.26%). In Table 1, the interquartile ranges for percent Leads On and Analyzable Time was wider when the Patch was worn less than a day, but remains above 74%. Total wear time in days n Percent Leads On Percent Analyzable Time Median Interquartile Range Median Interquartile Range 0.10-<1 105 99.65 86.52-100 92.86 74.19-96.97 1-<2 407 100 99.88-100 97.37 90.96-99.02 2-<7 4124 100 100-100 97.96 94.3-99.26 7-<10 2963 100 99.98-100 97.79 94.33-99.19 10+ 11286 100 100-100 98.07 95.00-99.29 Conclusion: Patient compliance with long term ECG patch monitors is high as measured by Leads-On detection. High patient compliance results in a large volume of quality ECG. Further study is needed to compare patient compliance with ECG patch based monitors with other monitoring modalities, particularly in the cryptogenic stroke population.

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A TNM-Based Clinical Staging System of Ocular Adnexal Lymphomas

Archives of Pathology & Laboratory Medicine ◽

10.5858/133.8.1262 ◽

2009 ◽

Vol 133 (8) ◽

pp. 1262-1267 ◽

Cited By ~ 1

Author(s):

Sarah E. Coupland ◽

Valerie A. White ◽

Jack Rootman ◽

Bertil Damato ◽

Paul T. Finger

Keyword(s):

Prognostic Significance ◽

Staging System ◽

Clinical Staging ◽

Disease Extent ◽

Non Hodgkin Lymphoma ◽

Ann Arbor ◽

Data Points ◽

Specific Factors ◽

Clinical Staging System ◽

User Friendly

Abstract Context.—The ocular adnexal lymphomas (OAL) arise in the conjunctiva, orbit, lacrimal gland, and eyelids. To date, they have been clinically staged using the Ann Arbor staging system, first designed for Hodgkin and later for nodal, non–Hodgkin lymphoma. The Ann Arbor system has several shortcomings, particularly when staging extranodal non– Hodgkin lymphomas, such as OAL, which show different dissemination patterns from nodal lymphomas. Objective.—To describe the first TNM-based clinical staging system for OAL. Design.—Retrospective literature review. Results.—We have developed, to our knowledge, the first American Joint Committee on Cancer–International Union Against Cancer TNM-based staging system for OAL to overcome the limitations of the Ann Arbor system. Our staging system defines disease extent more precisely within the various anatomic compartments of the ocular adnexa and allows for analysis of site-specific factors not addressed previously. It aims to facilitate future studies by identifying clinical and histomorphologic features of prognostic significance. This system is for primary OAL only and is not intended for intraocular lymphomas. Conclusions.—Our TNM-based staging system for OAL is a user-friendly, anatomic documentation of disease extent, which creates a common language for multicenter and international collaboration. Data points will be collected with the aim of identifying biomarkers to be incorporated into the staging system.

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Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback

10.1101/218727 ◽

2017 ◽

Cited By ~ 10

Author(s):

Rob Zink ◽

Stijn Proesmans ◽

Alexander Bertrand ◽

Sabine Van Huffel ◽

Maarten De Vos

Keyword(s):

Feedback System ◽

Auditory Attention ◽

Longitudinal Case Study ◽

Future Studies ◽

Acoustic Stimuli ◽

Online Implementation ◽

Closing The Loop ◽

Application Potential ◽

User Friendly

AbstractAuditory attention detection (AAD) is promising for use in auditory-assistive devices to detect to which sound the user is attending. Being able to train subjects in achieving high AAD performance would greatly increase its application potential. In order to do so an acceptable temporal resolution and online implementation are essential prerequisites. Consequently, users of an online AAD can be presented with feedback about their performance. Here we describe two studies that investigate the effects of online AAD with feedback. In the first study, we implemented a fully automated closed-loop system that allows for user-friendly recording environments. Subjects were presented online with visual feedback on their ongoing AAD performance. Following these results we implemented a longitudinal case study in which two subjects were presented with AAD sessions during four weeks. The results prove the feasibility of a fully working online (neuro)feedback system for AAD decoding. The detected changes in AAD for the feedback subject during and after training suggest that changes in AAD may be achieved via training. This is early evidence of such training effects and needs to be confirmed in future studies to evaluate training of AAD in more detail. Finally, the large number of sessions allowed to examine the correlation between the stimuli (i.e. acoustic stories) and AAD performance which was found to be significant. Future studies are suggested to evaluate their acoustic stimuli with care to prevent spurious associations.

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VOCATIONAL SCHOOL STUDENT READINESS IN FACING THE WORLD OF WORK: INDONESIA CASE FROM COMPETENCY PERSPECTIVES AND EMPLOYABILITY SKILLS

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2020.84129 ◽

2020 ◽

Vol 8 (4) ◽

pp. 1385-1395

Author(s):

Dani Rahman Hakim ◽

Amrie Firmansyah

Keyword(s):

Vocational School ◽

Employability Skills ◽

Accounting Students ◽

Work Readiness ◽

Vocational Students ◽

Vocational High School ◽

Professional Certification ◽

Future Studies ◽

Test Instrument ◽

Final Sample

Purpose of the study: This study investigates the effect of competence and employability skills on the work readiness of vocational students majoring in accounting in Indonesia. Methodology: This study uses a quantitative approach. The research data were obtained using a questionnaire survey of vocational students majoring in accounting in South Tangerang. The final sample used in testing was 284 questionnaires—data analysis using multiple linear regression with SPSS 23 version. Results: The results of this study suggest that competence and employability skills positively affect work readiness. The findings of the study are useful for vocational students in increasing their readiness to face the workforce. Implications/Application: Future studies are expected to explore further the variables that influence competence and its effect on work readiness and career development, including learning achievements, internships, and ICT Skills. Also, future studies are expected to be able to prepare better test instruments and proportional test times to get more accurate competency measurements. Furthermore, this study is expected for Vocational Schools to prioritize constructivism-based learning processes in order to obtain more optimal student competencies. Meanwhile, for policymakers, it is expected to develop policies that can maximize the competency and employability skills of vocational students. Specifically, this research can be used by SMK teachers majoring in Accounting in Indonesia to measure the accounting competence of their students to minimize unemployment. This research can also be an input for researchers and competency assessors of the Professional Certification Institute (LSP) in Indonesia to determine appropriate competency standards for junior-level accounting specialist technicians. Novelty: This study is one of the very few studies investigating competence and employability skills altogether and their impact on work readiness in Indonesia cases. It is essential to be conducted because the graduates of vocational school should be assessed by the LSP licensed by the National Competency Certification Agency (BNSP) to ensure that their competencies and employabilities fulfill the needs of work users. This study also has a novelty in using a new test instrument to measure the competency level of accounting students of vocational high school. The test instrument can be used by teachers and training practitioners to compare practical competency measurements for students.

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Crime Investigation Tracker Using Clustering Algorithm

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.8811 ◽

2020 ◽

Vol 17 (2) ◽

pp. 1354-1360

Author(s):

Md Gapar Md Johar ◽

Zairina Ibrahim ◽

Norsyahira Ramli

Keyword(s):

Clustering Algorithm ◽

Current System ◽

Clustering Algorithms ◽

Java Programming ◽

Crime Investigation ◽

Data Points ◽

Unified Process ◽

Subjective Phenomenon ◽

User Friendly ◽

The Relationship

The clustering algorithm is a method of distributing the population or data points into different groups in a way that data points in a single group are alike to each other in the same group and different from the data points from another groups. Simply, the objective is to isolate groups with similar qualities and allocate them into groups. This research, focus on K-means algorithm. Therefore, type of clustering algorithm used to cluster a group of data without categories. As, the clustering is a subjective phenomenon, that can be employed for accomplishing this objective to find and create group in the data with K as the representation of the number of the groups. Thus, the algorithm procedure uses a dissimilar set of guidelines for describing the relationship between data points and will be clustered together. Indeed, there are over 100 clustering algorithms recognized. However, a crime investigation tracker using clustering algorithm uses K-means algorithm to group the identical crime to be clustered accordingly type of crime recorded in the system. For the system, will be developed using Java programming to build the interface with MySQL as the database to provide a better management to store and retrieve the report. A methodology to develop the system is using Agile Unified Process (AUP) is consists of inception, elaboration, construction, and transition to conducts the current problem of system that various crimes have been increasing, unorganized reports in storage and interface less user friendly of the current system.

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TDAview: an online visualization tool for topological data analysis

Bioinformatics ◽

10.1093/bioinformatics/btaa600 ◽

2020 ◽

Vol 36 (18) ◽

pp. 4805-4809

Author(s):

Kieran Walsh ◽

Mircea A Voineagu ◽

Fatemeh Vafaee ◽

Irina Voineagu

Keyword(s):

Data Analysis ◽

Open Source Software ◽

Topological Data Analysis ◽

Graph Visualization ◽

Online Tool ◽

Wide Range ◽

Data Points ◽

Programming Knowledge ◽

User Friendly ◽

Topological Data

Abstract Summary TDAview is an online tool for topological data analysis (TDA) and visualization. It implements the Mapper algorithm for TDA and provides extensive graph visualization options. TDAview is a user-friendly tool that allows biologists and clinicians without programming knowledge to harness the power of TDA. TDAview supports an analysis and visualization mode in which a Mapper graph is constructed based on user-specified parameters, followed by graph visualization. It can also be used in a visualization only mode in which TDAview is used for visualizing the data properties of a Mapper graph generated using other open-source software. The graph visualization options allow data exploration by graphical display of metadata variable values for nodes and edges, as well as the generation of publishable figures. TDAview can handle large datasets, with tens of thousands of data points, and thus has a wide range of applications for high-dimensional data, including the construction of topology-based gene co-expression networks. Availability and implementation TDAview is a free online tool available at https://voineagulab.github.io/TDAview/. The source code, usage documentation and example data are available at TDAview GitHub repository: https://github.com/Voineagulab/TDAview.

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A Case Study of Household Food-Related Assessment Using an Innovative Passive Dietary Assessment Device in Mampong-Akuapem, Ghana (FS17-03-19)

Current Developments in Nutrition ◽

10.1093/cdn/nzz035.fs17-03-19 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

Author(s):

Alex Anderson ◽

Megan McCrory ◽

Matilda Steiner-Asiedu ◽

Richard Ansong ◽

Clara Lewis ◽

...

Keyword(s):

Elementary Education ◽

Formal Education ◽

Dietary Assessment ◽

Daily Activities ◽

Eastern Region ◽

Wake Time ◽

Wear Time ◽

Household Food ◽

Total Wear ◽

Low Middle Income Countries

Abstract Objectives Traditional dietary assessment methods in low-middle income countries (LMICs) have significant limitations. The objective of this study was to test the feasibility of using the Automatic Ingestion Monitor (AIM), an eyeglasses-mounted wearable chewing sensor and micro-camera, to monitor food acquisition, preparation and consumption of a household in a LMIC setting. Methods This is a case of an 8-member household from Mampong-Akuapem, a semi-rural community in the Eastern Region of Ghana. The household was made up of mother (35 years), father (37 years), and six children (ages 17 years, 13 years [twins], 8 years, 5 years, and 18 months). Mother has no formal education and works as a cook, whereas the father has elementary education and is a farmer/construction worker. All members of the household consume the same prepared meals. The AIM was used to monitor household activities for a day. The primary food preparer (mother) wore the AIM during all waking hours on the chosen day as she went about her daily activities, except any activities where she wanted to preserve privacy. The mother also responded to a socio-demographic questionnaire and evaluated her perceived burden of wearing the AIM. Images captured by the AIM were processed and annotated in custom software. Major household related activities around food are reported. Results Overall, a total wear time of 776 minutes (12.9 hr; 76.1% of usual wake time) was recorded with images spanning a total of 681 minutes (11.4 hr; 87.8% of total wear time). Cooking and food preparation (four different meals) accounted for 47.9%, shopping 1.5%, breastfeeding and other child feeding 5.1%, and eating 5.4% (communal 4.9% and non-communal 0.5%), and other daily activities 40.1% of usual wake time. Three main meals captured on the AIM were breakfast (rice porridge - boiled watery rice with added sugar, milk and bread), lunch (fufu - pounded boiled cassava and plantain, and chicken soup), and dinner (kelewele - fried spiced yellow plantains). The AIM was generally accepted by the participant and household members although they preferred a smaller size version. Conclusions The AIM has the potential of capturing household food related activities and practices that affect dietary intake and nutritional health in LMIC. Funding Sources Funded by the Bill & Melinda Gates Foundation.

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Rapoc: the Rosseland and Planck opacity converter. A user-friendly and fast opacity program for Python

10.5194/epsc2021-108 ◽

2021 ◽

Author(s):

Lorenzo V. Mugnai ◽

Darius Modirrousta-Galian

Keyword(s):

Temperature Dependence ◽

Temperature Profile ◽

Discrete Data ◽

Complex Treatment ◽

Atmospheric Models ◽

Gaseous Species ◽

Atmospheric Modelling ◽

Data Points ◽

The Mean ◽

User Friendly

We present a novel code that converts the widely-used wavelength-dependent opacities of gaseous species into Rosseland and Planck mean opacities (RPMs). RAPOC (Rosseland and Planck Opacity Converter) is a straightforward and efficient Python code that makes use of ExoMol and DACE data as well as any other user-defined data, provided that it is within the correct format. Furthermore, RAPOC has the useful ability of rapidly interpolating between discrete data points, therefore allowing for a complete incorporation in atmospheric models.&#160; Whereas RPMs should not be used as a replacement for more rigorous opacity analyses, they have certain benefits. For example, RPMs&#160; allow&#160; one&#160; to&#160; use&#160; Grey&#160; or&#160; semi-Grey&#160; models&#160; when&#160; analysing&#160; gaseous environments;&#160; which&#160; are&#160; simpler,&#160; have&#160; exact&#160; solutions,&#160; and&#160; can&#160; be&#160; used&#160; as benchmarks&#160; for&#160; more&#160; rigorous&#160; approaches. By incorporating the pressure and temperature dependence of RPMs, RAPOC provides a more complex treatment of the mean opacities than what is sometimes used within the literature, notably assuming constant values or adopting simple analytic formulations.&#160; We report&#160; examples&#160; of RAPOC opacities&#160; that&#160; are&#160; incorporated&#160; into&#160; a&#160; semi-Grey&#160; model&#160; to produce the temperature profile of HD 209458 b that is then compared to the realisations of the more rigorous POSEIDON code. The RAPOC code will provide the exoplanetary community a new tool for atmospheric modelling. For a quick installation in one's machinery, the &#8220;pip install rapoc&#8221; command can be used.

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