Questions related to Quality Assurance
The commercial QA software programs are not available through my university. I am wondering if there is free QA software with quality similar to that of the commercials.
I would appreciate any suggestions.
All the best
I have thought to cover the challenges faced by various functions in managing the supply chain - Procurement, Quality Assurance, Technical, Logistics , Planning and Regulatory
I was producing vegetation indices in a study area in the tropics with MOD09 product (Land Surface Reflectance, 8-days, 500m) and also with MOD13 (Vegetation index, 16-days, 500m). I got more or less the same result with some small differences due to the fact that the former product is an 8-days composite and the latter is 16-days composite. But I noticed that the quality flag are completely different, the one from MOD09 is very 'permissive', the could masking is almost unnecessary but with MOD13 is the opposite, because I lose a lot of data due to clouds. I think that the QA flag of MOD13 should be the correct one because my study area is in the tropics with high presences of clouds, but I wonder why the QA flag of MOD09 is so different and seems to be unreliable.
Can someone give me a clue?
The model or another system is looked for. When we act this model we will be able to get an effective quality assurance system in higher education. If such a model is available.
I have had half-hourly downwelling shortwave infrared data for almost two years. It contains large missing values and cannot be used for modeling purposes. As shortwave radiation data include seasonality and varies each day, I tried na_seadec() in R to resolve the issue. But I am obtaining negative values in missing data, though the data do not contain any negative values, and for huge gaps, a kind of increasing pattern is interpolated. I tried the Arima model, but the problem persists, especially for huge gaps.
Please find the articles I went through to attempt this issue.
1. (PDF) Challenging Problems of Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data (researchgate.net)
2. Chapter 48 Time Series Modeling with ARIMA in R | Community contributions for EDAV Fall 2019 (jtr13.github.io)
The data is from 09/03/2017 to 31/12/2019. While working with the Arima model, Kalman smoothing the error faced was that seasonality is less than two years.
I am attempting the problem in R software. However, any help in python would also do.
I appreciate any help regarding this issue.
I'd like to ask if you know any studies on the predictive validity of certain individual differences and/or personality traits as predictors for job performance. I'm interested in very specific occupational group (an this group only), that is the quality assurance specialist (software testers).
I struggle with finding such studies, and I believe this is due to the issue with key-words selection. If you happen to know any study from I/O psychology field (or any other similar field) on that matter, I'll be grateful for a recommendation.
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How should one use a cloud mask on Google Earth Engine (GEE)/R for the MODIS FireMask data? The mask should address the cloud, QA (quality band), and other unnecessary bands of the "MODIS/006/MOD14A2" dataset (link given below).
I am currently studying QA systems in NLP. I found that the term MRC and QA System are interchangeable. Then, I found this page https://www.quora.com/What-is-the-difference-between-machine-comprehension-and-question-answering-in-NLP that states MRC is an approach to solve QA problem. what is another approach?
I finished analyzing task-based fMRI activations for our data by using SPM12. However, I need to do quality control for the collected data and also for the analysis part. However, I do not know how can I do this?
I would be glad, if you could guide me through.
Thank you in advance.
how are the values in ST_QA (layer about the uncertainty surface temperature given in the ST band file) supposed to be interpreted? Is it an absolute value and therefore interpreted similar to standard deviation?
As I have only positive ST_QA-values in my Landsat scenes, I cannot tell whether there might be minus signs and therefore directed values instead of absolute values.
Any help is appreciated.
According to my experience Automation test team can come to play their role once after the Manual test team tested several cycles and the product or function comes to a certain, level of stability.
How can performed DOP test for return/exhaust HEPA filters in the clean room? Because it can not be done by scan method for the leak test.
What will you suggest?
Are there standards or guidelines in this regard?
Hey forum members,
I seek a micro-compounder (~5gr batches) for a clinical study batch, meaning under a GMP QA system. Simple polymer. Simple API.
Since thats a small batch I‘m looking at this stage to get it as service. Any idea where to start looking?
I am using the ANN for a product reliability assurance application, i.e.picking some sample within the production process and then estimating the overall quality of the production line output. What kind of optimization algorithm do you think works the best for solving the ANN in such a problem. ?
I am completing a research project using a computed tomography simulator and a phantom with 16 inserts of various known densities. Regions of interest are placed on these 16 inserts. A mean value and standard deviation are recorded for each insert. A software is used to manipulate the images and and the same ROIs are used to record the mean and standard deviation. So for any given insert we have original (mean and standard deviation) and post-processed (mean and standard deviation).
I am repeating the computed tomography scans using the same parameters over a period of time and processing the images using the same software to assess consistency of manipulation by the software. So i would like to compare the difference between (original and post-processed dataset #1) and (original and post-processed dataset #2)
I am unsure how to approach this and what statistical test to use in this case. Any suggestions of where to start?
Measuring the quality of education provided by the higher education institutes is very important to enhance the effectiveness learning. There many organisations working on different tools and techniques to measure the level of quality of education. The expected answer will help to explore current practices and to develop new measures or techniques.
Quality in education has become one of the worldwide prime agenda and is a concern of most countries in the world, This is due to the growing recognition of the potentially powerful role of tertiary education for growth and other reasons.
To cope with this trend, countries are under pressure to ensure and assure quality of higher education at national and internationally acceptable standards. Almost all educational institutions are in one way or another striving hard to find better ways of achieving quality education through QA systems including IQAS.
My question is that, is it possible to study how efficiencies the IQAS are? in ensuring quality provision of education in Higher learning Institutions?
What are the main main parameters to check in order to determine their efficiencies in the provission of quality education?
I am doing my thesis on agile testing strategies and would appreciate if you take the time to reply to my survey and/ or share it with your network.
Also if you are a QA, tester, develloper... or have participated in anyway to the testing phase of a project I would love to discuss the subject further more.
It has been seen that the instrument rating of an instrument mentioned in the operating manual is different from what is mentioned in the technical manual (Not all, but few). If we disregard the typing error, what are the actual reasons accounting for this difference?
I was wondering if there is a QA tool (or a review checklist) that could be used for critical appraisal of book chapters.
A contingency plan is a plan devised for an outcome other than in the usual (expected) plan. According to the quality assurance and accreditation process, it is required from all higher academic institutions to design a contingency plan in case of emergency, so no panic and risk-managed very well.
In a line of coronavirus outbreak and possibilities to close universities are there any contingency plans in a place? if not inorder the mangers to take responsibility and protect their students and staff are they ready to develop one? in your workplace as academicians do you know if there is a contingency plan available and who responds to implement it?is it developed at the level of institutions, colleges or programs?
I would appreciate your thought in this
What are the differences between Scope Creep and Gold Plating in Project Management.
Often these two are confusing and misleading.
Can we discuss it with real time examples?
What are their effect on scope baseline?
If so, do we need change request to deal with it?
To implement the Novel Strategy to #Control #Population in India, an old Institute is morphed for the new role. https://www.researchgate.net/publication/332103614_Indian_Disease_Disseminating_Research_Institute_IDDRI
I'm currently dealing with really large # of samples and want to set my AQL. So far, I've only seen these two as common standards for major and minor nonconformities, respectively. May I ask if there is a trustworthy reference for this? Most that I've seen are websites only. Thank you very much!
We tested some N550 carbon black collected from our plant day bin following ASTM 2414. Those black was unload from a trailer truck to a silo, then delivered to day bin by air (They look finer than freshly sampled black from truck). The OAN number we obtained from those N550 was around 8-10 numbers lower than usually. We also tested some daybin sampled N220, N330, an N660. So far the results are within QA spec.
From what I read mechanical force on carbon black will reduce its secondary structure which is measured with OAN, but not sure if it is the case here. I am wondering if anyone else has experience with this OAN reducing phenomenon before?
I am using the RStudio's package MODIStsp. I have downloaded a time-series product of MOD11A2 (LST day & night) and in my PC the following folders were created :
e) QAday_qual (the same for the night product).
While running the MODIStsp I saw written that QA's were computed. In the first folder (a) 46 images were created, the same as in the rest of the folders.
My questions are:
a) if QA's were computed, only the ones with a good quality were kept?
b) if yes, in which folder are the 'corrected' images?
I am working on Quantification of HMF in honey by HPLC-UV
Recently i got some test material(honey)
I am getting 110% recovery
Results should be corrected for recovery?
For e.g say i am getting 5.5 ppm HMF
After Corrected for recovery :
Results should be 5.5*100/110= 5 ppm
So actual result would be 5 ppm
Is this right?
I am currently doing a research to investigate whether quality assurance has an impact in improving the performance and standards in Gulf States (Oman, Qatar, UAE, Kuwait, Bahrain, and Saudi Arabia) higher education institutions. The main primary focus of the study are three themes, teaching, governance and ranking. The study proposed to employ resource based view (RBV) as a theoretical framework. The reason behind choosing this theory is because the core research of RBV is performance heterogeneity and capabilities. I want some recommendations or articles that used quality assurance to measure performance improvement in higher education institutions.
QA Automation Tools such as cucumber, selenium, etc check the quality of code. Is there any tool available that provides knowledge regarding software quality requirements (a.k.a. Non-functional Requirements) analysis at early stage of Requirements Engineering.
Please share your experience.
Quality assurance factors within the higher learning institute. The standards is used for the higher learning institute assessment. Please list 10 factors or standards.
COTS Digital I&Csystems, platforms and instruments are increasingly being used in safety critical applications. In most of the cases it is seen that the documents realted to QA/manufacturing /devlopment of these products are not accessible at the manufacturer end to verify its correctness. How to qualify such products for safety critical applications and what complimentary evidences/tests to be done to have a satisfactory level of verifcation and validation of COTS digital I&c systems, platforms and instruments (sensors/actuators) to validate their quality to make them suitable in critical applications?
I have downloaded MOD09A1 V006 surface reflectance data. I have an issue when using the QA flags to filter those pixels with a low quality. It seems that there exist numerous lines with this flag: 1075838976.
I think that the binary number point out that there is no atmospheric correction. However, according to bit number 0-1 it is "00" "corrected product proudced at ideal quality --all bands". Additionally the word bit for band 6 is "0001", which is a binary code not considered in Table 10 of the User Guide.
Binagy flat is:
10 0000 0001 0000 0000 0000 0000 0000 00
I would be grateful if you could give me a clue to interpret this or to decide if I should filter out those pixels or not. I am mosaicking and computing NDVI values, so atmospheric correction is important.
I am currently working on a project that requires fault detection of engines based on the available data.
The available information are parameters that were recorded during annunciation of the previous faults, historical data on the engines of that model and obviously the engine itself, and some rules that were defined in the control logic to trigger the faults.
Unfortunately, the triggering logic provides many false positives despite rigorous QA before deployment. Therefore, using an ML or AI algorithm or any other approach that could be helpful in this area, I would like to update the triggering logic that would minimize the false positives and improves accuracy and precision of detection while does not affect performance (speed) significantly.
Any help in this area is appreciated.
I am starting to process my diffusion imaging data (b=1000, 99 directions) and I have to perform quality assurance. I have a lot of subjects, and manual methods seem somewhat arbitrary to me, so I was wondering if anyone had used David Roalf's Diffusion QA script. Is it accurate? And is it feasible with the acquisition parameters I have?
I am working on an HPLC method that separates our target protein from other excipients in the formulation. The goal of this method is to determine the concentration of protein in our sample. We do this by utilizing a standard of known protein concentration to determine the concentration of our unknown.
The standards are prepared (on the bench) at varying concentrations. 50 uL of each standard and sample are injected. The standard peak areas are used to create a linear standard curve against which the concentration of our sample is derived.
This method seems pretty straightforward and not uncommon. However, I am wondering why we cannot take our standard and inject different volumes (e.g. 10 uL, 30 uL, 50 uL, 70 uL, and 90 uL) and create a standard curve from this. It would save a good amount of time in running the assay.
I approached QC and QA about this, but their response was that no one does it this way because this type of method can't be validated. You can't be confident that all different instruments will inject the correct volume of standard for you. Any thoughts?
I have been selected for the Quality Commission of my university, and we will start preparing internal evaluation report soon. However, a revision will be necessary about the strategic plan of the university and the KPIs for monitoring internal quality (education, research and administrative quality). I recently read a paper and there was an interesting example about determining stragey based on KPIs rather than vice a versa. This actually made sense since main KPIs are already fixed/widely used on national/international levels (like qualification frameworks, and policies of central higher education commissions), and many HEIs do not have the autonomy or the power to change these expectations. So here is the question: Is it better to determine strategy based on pre-established KPIs when compared to determining KPIs based on strategy?
Sequential-Sampling Plan can be defined as a further refinement of the double-sampling plan, in which we randomly select items from the lot and inspects them one by one. Each time an item is inspected, a decision is made to accept or to reject the lot. But is there a particular limitation for the number of samples that we can draw out in this method?
I have an argument with QA during SOP writing, regarding nasogastric tubing covered under oral dosing title.
If it is correct kindly provide me a logic.
I have an extremely high R^2 (Pred) of 96% and R^2 (adj) of 99%. Using Minitab's response optimizer I generate a confidence interval and prediction interval for specific settings. Yet when I get to the shop floor to test these settings my results are generally out of the interval.
The intervals for specific settings are generally .002 wide which is extremely tight for machining processes.
I am assuming the operator is having a significant effect on the parts.
Have I over fitted the model? Taking out terms reduces the R^2 (pred) but it widens the intervals which may be more relevant.
At the moment I have structured data set of profiles of exporters and pasts results of each tea sample that were tested in the laboratory. In this process there are 6 main reasons which could lead to reject a sample during the inspection. They are as follows.
· Microbial contamination
· Contamination due to adulteration (add : FeSo4, NaCo3, sugar,CaCo3 )
· ISO 3700 Limits (Crude fiber > 16.5% )
· Silicon Acid insolubility (1%)
· Fake grade
· Full analysis
o Alkaline test
o Water Extraction
o Total poly phenols (Anti-oxidant)
Are there any similar researches conducted which could help me to refer as literature for above research?.
I need a comprehensive document which describes procedures for quality control of linear accelerators in external beam radiotherapy. There are some documents like TG40, etc. but they didn't describe the procedure thoroughly.
I'm concerned with fire regime modeling based on a MCD45A1 time series in a savanna. I have noticed that burned areas vary noticeably for my region if I restrict them to those assigned with highest confidence (ba_qa=1) as compared to those originating from ba_qa=1:4. However, I find hardly any study dealing with this issue. What's your experience? Would you recommend to also include detections of lower confidence?
Thank you for your thoughts!
Quality Assurance in Open and Distance Learning
I would appreciate to link me to Journal articles and other scholarly writings.
Typically, a Quality Assurance (QA) program has at least 2 goals, which are:
1. Establish that the software meets the stated requirements.
2. Minimize the number of errors in the deployed software.
Measuring the QA processes effectiveness to these goals is straightforward (coverage and count reported errors), but the second goal may take years to identify the escaping errors. This brings us back to the question. To make a QA process more effective (meeting goals and costs), we need to know the characteristics of a QA process. Understanding the characteristics of a QA process also provides a basis to evaluate new techniques that may improve both the effectiveness and reduce the cost of quality.
Currently working for the quality department of a logistics warehousing company. Taking into consideration that some of the supervisors are not working to the level of what is expected as well as the absenteeism and lateness of people working there. Moreover, the HR department does not take into consideration its employee, so what do you suggest ? Also, how can we improve HACCP for cold and dry warehouses in order to be on the top? What actions should be taken to improve the quality department of the company?
It is against the law in some states to provide care to close family members and many codes of physician ethics contain guidelines not to do so.
Does anyone know of any empirical evidence whatsoever that physicians provide worse care to their relatives or are more likely to act unethically etc. in the care of their relatives than of other patients?
I'd like to help someone study this.
What we need is a pointer for picking spatial points inside buildings and their rooms, and 3D software which can convert those spatial data
points into a 3D model.
We want to pick floor and ceiling points for corners, and frames of windows and doors and hallways and wall-shape-transitions, etc. The idea is
to save a ton of time taking and scribing measurements with conventional tools, and getting actual accurate shapes of rooms into the model very
The model would be imported into Revit for further work, and remodeling to prep for visualization and walk-throughs.
1. How can we get this done, and with what hardware and software?
2. Perhaps finger tracking could work for this, and we would need to know who to contact for more information and possibly assistance
3. This seems like a great R&D project if a system is not currently available. We can make resources available for QA testing at NMSU.
We had considered that Kinect might be used, but expect it would not provide accuracy or be useful with a set of procedures that work the same
in all rooms. We expect that something like an ultrasonic system with wand and reference unit would be useful and accurate for these purposes.
Thank You for any assistance you may provide, and for taking the time to respond.
I need an instructor-friendly good textbooks suggestion about the topics below.
What I mean: Which has presentations ready, code examples, solutions to questions in the book.
- Software Reengineering
- Software Testing, QA & Security
What are the human resources strategy/methods to ensure that the workers are effective and efficient.
What would be a good definition of quality from the human resource management perspective
I am trying to work out the most focussed research topic for a PhD study, having tried to streamline it from a very broad area of focus. First it was Quality and Quality assurance in Higher Education, then the focus moved on to History of Higher Education in a fixed national setting. That again seems to be still too broad. Now I have picked on one aspect or theme in Higher Education and wish to use annual reports for a historical analysis of trends in institutional demographics within a specific national setting over a fixed period of time of about 25 years.
I am conducting a study on evaluation of ECD policy implementation and quality service delivery. Therefore, looking for a tool which would help me to quantify quality of the pre-schools environment in Murang'a Kenya
1. Cost of quality (COQ), quality related cost,
2. Lifecycle cost (LCC)
3. Total ownership cost (TOC)
When we buy, for example, electrical products, we look for the certification mark or logo (as attached) that proves they have been certified to certain safety standards to avoid electrical shock and fire. How much are you sensitive to these marks? Why are standards important? Why are standards needed? What are the purpose of developing and adhering to standards? Please state both advantageous and disadvantageous of complying to standards.
This question born because I have a disagree with a partner: we need to measure a property in a material, but the method is not standardized, and when we request to a third party lab they have not accredited technician for do it even they have not certification for the test, so that he said that there is no way to probe that the methode he uses is wrong, because the lab cannot reproduce it in and accredited way. Obviously for me is totally wrong, because even when you have not accreditation, if you have the conditions to reproduce the experiment with the same or better exactitude and presicion degree you can do it no matters you have an accreditation or a third part validation. I think about the scholar and prived research that make experiments under certain conditions of control, but need not any accreditation (of course can be wrong but not to be imposible to be verify).
Getting accreditation for professional colleges has become a necessity in many countries . Accreditation experts visit the colleges for 2 to 3 days to conduct an academic audit and verify the data given in the self- assessment report and then award a rank . Do you feel the real quality of the education can be assessed in this short time and through quantification of complex variables involved in the teaching-learning and research processes in professional colleges?
What do you think are the outcomes and impacts of curricular amalgamation leading towards a common accreditation or quality standards of certain disciplines? How does educational system integration affects the social standing, economic well-being and political empowerment of an individual?
I want to design a scale of Inspectors' performance. Inspectors are the people who evaluate the quality of schools and who are doing the external quality assurance process of pre-university education (in schools)
With the concern over adverse side effects of synthetic chemicals, millions of people across the world are turning back to plant derived healthcare and other products. The world market for such products including pharmaceuticals, nutraceuticals, fragrances, flavours, biopesticides and colour ingredients, alone exceeds several billion dollars per year. However, the major challenges in this sector are with the overall quality, safety and efficacy of these products. The claims and other information provided on the label may be far from what is in the pack. Just because an herb is natural does not mean that it is safe. Nevertheless, if herbal products are to assume a respected place in the market and society, more reliable and credible means and ways as well as greater authoritative regulatory directives for quality and safety of the herbal products are warranted. In this context, the question is to what extent the existing scientific standards and regulatory norms are adequate and effective for ensuring the quality and safety of herbal products?