scholarly journals Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

2011 ◽  
Vol 63 (12) ◽  
pp. 2975-2982 ◽  
Author(s):  
L. Rossi ◽  
L. Rumley ◽  
C. Ort ◽  
P. Minkkinen ◽  
D. A. Barry ◽  
...  

Sampling is a key step in the analysis of chemical compounds. It is particularly important in the environmental field, for example for wastewater effluents, wet-weather discharges or streams in which the flows and concentrations vary greatly over time. In contrast to the improvements that have occurred in analytical measurement, developments in the field of sampling are less active. However, sampling errors may exceed by an order of magnitude those related to analytical processes. We proposed an Internet-based application based on a sampling theory to identify and quantify the errors in the process of taking samples. This general theory of sampling, already applied to different areas, helps to answer questions related to the number of samples, their volume, their representativeness, etc. The use of the internet to host this application facilitates use of theoretical tools and raise awareness of the uncertainties related to sampling. An example is presented, which highlights the importance of the sampling step in the quality of analytical results.

2019 ◽  
Vol 30 (2) ◽  
pp. 311-314
Author(s):  
Kristina Kilova

Strategic aim of the European Union is to build a competitive and dynamic economy based on knowledge and ensuring sustainable economic growth. In the context of the Lisbon agenda and the Bologna process, the main resource for achieving this goal is undoubtedly the quality of education. This makes the issue of the quality of higher education extremely relevant. In universities have been set up systems to manage the quality of higher education. As main criterion for assessing their work serve surveys giving feedback on the entire process performed. More intensive use of the Internet enables the creation and use of web-based information systems for surveys of the quality of higher education.


2017 ◽  
Author(s):  
Jette Henderson ◽  
Junyuan Ke ◽  
Joyce C Ho ◽  
Joydeep Ghosh ◽  
Byron C Wallace

BACKGROUND Researchers are developing methods to automatically extract clinically relevant and useful patient characteristics from raw healthcare datasets. These characteristics, often capturing essential properties of patients with common medical conditions, are called computational phenotypes. Being generated by automated or semiautomated, data-driven methods, such potential phenotypes need to be validated as clinically meaningful (or not) before they are acceptable for use in decision making. OBJECTIVE The objective of this study was to present Phenotype Instance Verification and Evaluation Tool (PIVET), a framework that uses co-occurrence analysis on an online corpus of publically available medical journal articles to build clinical relevance evidence sets for user-supplied phenotypes. PIVET adopts a conceptual framework similar to the pioneering prototype tool PheKnow-Cloud that was developed for the phenotype validation task. PIVET completely refactors each part of the PheKnow-Cloud pipeline to deliver vast improvements in speed without sacrificing the quality of the insights PheKnow-Cloud achieved. METHODS PIVET leverages indexing in NoSQL databases to efficiently generate evidence sets. Specifically, PIVET uses a succinct representation of the phenotypes that corresponds to the index on the corpus database and an optimized co-occurrence algorithm inspired by the Aho-Corasick algorithm. We compare PIVET’s phenotype representation with PheKnow-Cloud’s by using PheKnow-Cloud’s experimental setup. In PIVET’s framework, we also introduce a statistical model trained on domain expert–verified phenotypes to automatically classify phenotypes as clinically relevant or not. Additionally, we show how the classification model can be used to examine user-supplied phenotypes in an online, rather than batch, manner. RESULTS PIVET maintains the discriminative power of PheKnow-Cloud in terms of identifying clinically relevant phenotypes for the same corpus with which PheKnow-Cloud was originally developed, but PIVET’s analysis is an order of magnitude faster than that of PheKnow-Cloud. Not only is PIVET much faster, it can be scaled to a larger corpus and still retain speed. We evaluated multiple classification models on top of the PIVET framework and found ridge regression to perform best, realizing an average F1 score of 0.91 when predicting clinically relevant phenotypes. CONCLUSIONS Our study shows that PIVET improves on the most notable existing computational tool for phenotype validation in terms of speed and automation and is comparable in terms of accuracy.


2011 ◽  
Vol 25 (2) ◽  
pp. 93-96 ◽  
Author(s):  
Vikram Tangri ◽  
Nilesh Chande

BACKGROUND: The Internet is becoming an increasingly common source of health information for patients.OBJECTIVE: To examine the quality of gastrointestinal disease- and symptom-related Internet sites that might be searched by patients.METHODS: A total of 120 websites were evaluated from July to November 2009 using the DISCERN instrument to determine the quality of content of health and treatment information.RESULTS: There was substantial variability in the quality of Internet resources regarding gastrointestinal diseases and their symptoms. Information-based and institutional websites were rated highest. Resources related to celiac disease, colon cancer and abdominal pain scored the highest.CONCLUSIONS: Overall, the quality of web-based resources was variable. Because patient education is important in the management of gastroenterological diseases, the increasing use of the Internet poses new opportunities and challenges for physicians.


2020 ◽  
pp. 191-198

Background: Binocular and accommodative vision problems are common after mild traumatic brain injury (mTBI). Traditionally, the management of visual dysfunctions following mTBI included in-office vision rehabilitation with a trained eye care provider. The concept of providing telehealth for remote vision rehabilitation in mTBI patients is a relatively novel practice that has not been widely utilized until the recent outbreak of the 2019 novel coronavirus (COVID-19) pandemic. Case Report: We describe the implementation of telehealth for remote vision rehabilitation during COVID-19 within the Veterans’ Health Administration (VHA) system in an adult patient with multiple confirmed histories of mTBI. Conclusion: Our telehealth remote vision rehabilitation was successfully implemented utilizing established VHA’s web-based videoconferencing tools. Therapeutic goals identified prior to COVID 19 were addressed without any challenges. The delivery of vision rehabilitation intervention via telehealth allowed for the continuance of services within the home setting that led to improvements in functional vision, decreased perception of performance challenges, and improved quality of life.


Author(s):  
Anna Eleftheriou ◽  
Aikaterini Rokou ◽  
Christos Argyriou ◽  
Nikolaos Papanas ◽  
George S. Georgiadis

The impact of coronavirus infectious disease (COVID-19) on medical education has been substantial. Medical students require considerable clinical exposure. However, due to the risk of COVID-19, the majority of medical schools globally have discontinued their normal activities. The strengths of virtual teaching now include a variety of web-based resources. New interactive forms of virtual teaching are being developed to enable students to interact with patients from their homes. Conversely, students have received decreased clinical training in certain medical and surgical specialities, which may, in turn, reduce their performance, confidence, and abilities as future physicians. We sought to analyze the effect of telemedicine on the quality of medical education in this new emerging era and highlight the benefits and drawbacks of web-based medical training in building up future physicians. The COVID-19 pandemic has posed an unparalleled challenge to medical schools, which are aiming to deliver quality education to students virtually, balancing between evidence-based and experience-based medicine.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eun-Sil Choi ◽  
Hyun-Sun Jeon ◽  
So-Jung Mun

Abstract Background This cross-sectional study aimed to examine the relationship between sleep habits and oral disease symptoms in adolescents. Methods Among 62,276 adolescents who participated in the 13th Korea Youth Risk Behavior Web-based Survey (2017), we selected a total of 54,766 adolescents (age, 12–18 years; male, 49.9%) for the final analysis, after excluding those who did not report their sleep duration. The 13th Korea Youth Risk Behavior Web-based Survey data were obtained from a stratified, multistage, clustered sample. Independent variables included general characteristics, oral health behavior, sleep types, sleep duration, and sleep quality; dependent variables comprised oral disease symptoms. Sleep was categorized according to bedtime astype A (bedtime < 1 a.m.) and type B (bedtime ≥ 1 a.m.). Data were analyzed using logistic regression analysis. Statistical significance was set at p < 0.05. Results After adjusting for all covariates, adolescents with type A sleep had a higher risk of toothache on chewing (OR = 1.08, 95% CI 1.02–1.15) than adolescents with type B. Adolescents who slept for 6 h or less each night had a higher risk of pain in the tongue and buccal mucosa (OR = 1.35, 95% CI 1.18–1.54), gingival pain, and bleeding (OR = 1.31, 95% CI 1.19–1.45) than those who slept for more than 8 h. Adolescents with low quality of sleep had a higher risk of toothache or throbbing (OR = 1.70, 95% CI 1.60–1.81), toothache on chewing (OR = 1.73, 95% CI 1.65–1.82), and halitosis (OR = 1.51, 95% CI 1.41–1.59) than those with high quality of sleep. Conclusions Our findings indicate that some oral symptoms are related to sleep duration and quality. It is essential to inculcate good sleeping habits in adolescents by emphasizing the effects of inadequate sleep duration and quality.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Rebecca Spigel ◽  
Jessica A. Lin ◽  
Carly E. Milliren ◽  
Melissa Freizinger ◽  
Julia A. Vitagliano ◽  
...  

Abstract Background Shelter-in-place orders and social distancing guidelines, in response to the COVID-19 pandemic, have limited traditional face-to-face interactions and led to many clinical providers transitioning to the use of videoconferencing platforms. The present study aims to assess how the COVID-19 pandemic has impacted adolescents’/young adults’ (AYA) eating disorder (ED)-related care, and how access to, changes in, perceived disruptions to, and quality of care are associated with ED thoughts and behaviors. Methods AYA enrolled in the RECOVERY study, a pre-existing web-based longitudinal study, and completed a COVID-19-specific survey (n = 89). We examined bivariate associations of four markers of care: i) access to care, ii) changes in care, iii) perceived disruption to care, and iv) quality of care. Using multiple logistic regression, we examined the associations of pandemic-related markers of care with changes in ED thoughts and behaviors. We excluded those not engaged in treatment pre-pandemic (n = 16). Results In the remaining 73 participants, reported access to care was high, with 92% of respondents continuing care with at least one ED provider during the pandemic; however, 47% stopped some treatment during the pandemic. Nearly one-third (32%) perceived a disruption in treatment. Quality of care remained high with 67% reporting care to be better than or as good as pre-pandemic. Respondents acknowledged heightened symptomatology: 81% reported increased ED thoughts and 81% reported increased ED behaviors due to COVID-19-related factors. However, none of the markers of care described were significantly associated with ED thoughts or behaviors in regression analyses adjusting for demographic variables and baseline characteristics, except our quality of care measure which was approaching significance (p = 0.07). Conclusions Our findings show the majority of AYA who had care prior to the pandemic continued receiving some element of their multi-disciplinary ED treatment and perceived their care as high quality. None of the markers of care described were statistically associated with increased ED thoughts and behaviors.


2021 ◽  
Vol 11 (10) ◽  
pp. 4344
Author(s):  
Kuen-Suan Chen ◽  
Shui-Chuan Chen ◽  
Ting-Hsin Hsu ◽  
Min-Yi Lin ◽  
Chih-Feng Wu

The Taguchi capability index, which reflects the expected loss and the yield of a process, is a useful index for evaluating the quality of a process. Several scholars have proposed a process improvement capability index based on the expected value of the Taguchi loss function as well as the corresponding cost of process improvement. There have been a number of studies using the Taguchi capability index to develop suppliers’ process quality evaluation models, whereas models for evaluating suppliers’ process improvement potential have been relatively lacking. Thus, this study applies the process improvement capability index to develop an evaluation model of the supplier’s process improvement capability, which can be provided to the industry for application. Besides, owing to the current need to respond quickly, coupled with cost considerations and the limits of technical capabilities, the sample size for sampling testing is usually not large. Consequently, the evaluation model of the process improvement capability developed in this study adopts a fuzzy testing method based on the confidence interval. This method reduces the risk of misjudgment due to sampling errors and improves the testing accuracy because it can incorporate experts and their accumulated experiences.


Computers ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 57
Author(s):  
Maliha Rashida ◽  
Kawsarul Islam ◽  
A. S. M. Kayes ◽  
Mohammad Hammoudeh ◽  
Mohammad Shamsul Arefin ◽  
...  

The website of a university is considered to be a virtual gateway to provide primary resources to its stakeholders. It can play an indispensable role in disseminating information about a university to a variety of audience at a time. Thus, the quality of an academic website requires special attention to fulfil the users’ need. This paper presents a multi-method approach of quality assessment of the academic websites, in the context of universities of Bangladesh. We developed an automated web-based tool that can evaluate any academic website based on three criteria, which are as follows: content of information, loading time and overall performance. Content of information contains many sub criteria, such as university vision and mission, faculty information, notice board and so on. This tool can also perform comparative analysis among several academic websites and generate a ranked list of these. To the best of our knowledge, this is the very first initiative to develop an automated tool for accessing academic website quality in context of Bangladesh. Beside this, we have conducted a questionnaire-based statistical evaluation among several universities to obtain the respective users’ feedback about their academic websites. Then, a ranked list is generated based on the survey result that is almost similar to the ranked list got from the University ranking systems. This validates the effectiveness of our developed tool in accessing academic website.


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