Questions related to Best Practices
Support service departments or offices in a university are usually comprised of administrative office, student affairs, IT, admissions, etc. With and without them, a difference can be made. What do you think?
Question for discussion: Why is collaborative support important in the success of teaching and learning in higher education?
The objective is to recognize the best practices in these agricultural innovation systems
What are the best practices to write State-of-the-art Literature Review?
When should we choose to write a State-of-the-art Literature Review instead of a traditional literature review?
Please suggest some literature/articles as well.
I have quantified the intensity of bands obtained in gels in which I have loaded experimental samples with WT enzyme and several mutants. My goal is to compare whether the WT enzyme or the mutants are better based on the intensity obtained for each band (the higher intensity I measure, the more activity the enzyme has).
I have several replicates of the experiments, I have normalized the values with respect to WT in each case, and then I have calculated the mean and standard error values. So I get a value of 1 for the WT enzyme and values below 1 or above 1 for the mutants. Would this be a correct way to express the results?
I wonder if it would be more appropriate to apply log2 to the values obtained, so that values close to 0 will indicate that the mutants are similar to WT, positive values will indicate that it is better, and negative values that it is worse.
Applying log2 maybe is useful because the same absolute value is obtained when an enzyme is 10 times worse or 10 times better (compared to the case of not applying log2, that the enzyme 10 times worse will have a value of 0.1 and the 10 times better will have a value of 10)
There are cases in which the mutants have a value of 0 because no band to quantify is obtained. So I can't apply log2 to 0 and the graph is incomplete for those mutants. And there are also times when the intensity is very low and when applying log2 a very high value comes out that distorts the graph.
ADDITIONAL PROBLEM: HOW TO NORMALIZE WHEN REFERENCE VALUE IS 0
Under certain conditions I obtain values of 0 or very close to 0 for the WT enzyme, which is the one I use as reference to calculate the ratios. What can I do in this case? Would it be correct to do this: I normalize the data with respect to a mutant that has high values, calculate the mean of the ratios, and normalize the means with respect to WT. In the Excel file “Problem” I have put an example of this under the heading “Situation 1”.
I'm not sure if it's correct to work with the data in this way. In the spreadsheet I have written an example called "Situation 2" in which I have normalized the data in both ways (with respect to WT and with respect to mutant 1) and I see that the final results are completely different.
What do you recommend to do to display the data correctly?
I am working on a Masters dissertation in DevOps with Atlantic Technological University. I was wondering if you anyone here contributes to open source projects? If so what do you think are the best practice or practices that are often missing in open source projects? I have done an analysis but any response would be great. I just want to be sure I am on the right track.
For example, If we collected the data (Dataset.CSV) with 7 million records, we want to take a sample from 7 million records, just 1 million records.
What are the first step, second step, and so on........if the dataset needs the following steps...
(labeling\ numeric\ normalization\ balance\ sample 1 million records\ cleansing).
Additional question: Is the balancing okay if we do it for the normal records, not for the attack records (there is any problem)?
I am looking for a study that dealt with the differences between institutions in student evaluation of the faculty. What I am interested in knowing is whether there is a difference between students from prestigious institutions and ordinary universities and colleges, one can perhaps assume that in private and competitive institutions the students will be critical and demanding. But I can't find any evidence or even a comparative study on the subject, I've been searching Google Scholar for a few days now
Hi, I was hoping someone could recommend papers that discuss the impact of using averaged data in random forest analyses or in making regression models with large data sets for ecology.
For example, if I had 4,000 samples each from 40 sites and did a random forest analysis (looking at predictors of SOC, for example) using environmental metadata, how would that compare with doing a random forest of the averaged sample values from the 40 sites (so 40 rows of averaged data vs. 4,000 raw data points)?
I ask this because a lot of the 4,000 samples have missing sample-specific environmental data in the first place, but there are other samples within the same site that do have that data available.
I'm just a little confused on 1.) the appropriateness of interpolating average values based on missingness (best practices/warnings), 2.) the drawbacks of using smaller, averaged sample sizes to deal with missingness vs. using incomplete data sets vs. using significantly smaller sample sizes from only "complete" data, and 3.) the geospatial rules for linking environmental data with samples? (if 50% of plots in a site have soil texture data, and 50% of plots don't, yet they're all within the same site/area, what would be the best route for analysis?) (it could depend on variable, but I have ~50 soil chemical/physical variables?)
Thank you for any advice or paper or tutorial recommendations.
I am looking for a source document(s) on what is considered a good/very good/excellent survey response rate. I've heard in several circles that a 30-40% response rate is considered good/very good. Might you have a source document that I could refer to?
What do you think are the most important problems in computer science and computer engineering which if it will be solved would make a huge impact on technology?
what is it in your mind?
don't think that your idea might be stupid or not practical, just leave the message here, may be it help scientists and researchers to solve worlds problems and make our world a better place for everyone to live.
A quest for real-world examples (Best Practices) from developing countries.
Some research findings show that there is a significant relationship observed between entrepreneurship education and entrepreneurial culture. Given the private sector’s involvement is essential in economic development and also that the capacity to recruit new graduates in the formal sector is very much limited, it’s highly vital that existing and new entrepreneurial cultures are adequately exploited. And, it is also necessary to link this cultural dimension with formal entrepreneurial education.
Is there any program/project successfully implemented so that those two issues are properly linked and resulted in achieving the desired goal (As Best Practice)? (Good if country and program/project examples are mentioned.)
Kindly provide your valuable comments based on your experience with surgical loupes
- Magnification (2.5 x to 5x)
- Working distance
- field of vision
- Galilean (sph/cyl) vs Kepler (prism)
- TTL vs non TTL/flip
- Post use issues (eye strain/ headache/ neck strain etc)
- Recommended brand
- Post sales services
#Surgery #Loupes # HeadandNeck #Surgicaloncology #Otolaryngology
I would like to do next generation sequencing on cells sorted based on an intracellular stain. Is there a best practice for how to fix the cells such that my sequencing run is not compromise?
Would you share your thoughts on the best practices for GDP growth forecasting in terms of variable choice, modelling approach, estimation technique etc.?
Is there a maximum number of studies to be included in a scoping review? If yes, kindly advise the number or any best practice (specifically, in the medical field). Also, if we include more than 200 studies in a scoping review (for example, 280 studies), then how should this be handled? What is the best practice for this? I envision there should be a table of some sort with predefined variables, and then there would be the 280 rows for the 280 studies, but how should this be managed / presented in a scoping review, given the high number of studies included?
Thanks in advance. Much appreciated.
For Action Research through the famer field schools (FFS) approach to learning conservation agriculture, initiated by the FAO.
The principle of the Farmers' Field School is to create a place of exchange and learning where producers learn as a group on their own through observation and exchange. The Global Good Practices Initiative aims to make information and know-how on extension easily accessible to a wide audience of practitioners.
KEY PRINCIPLES OF FFS
1. Learning by doing - adults learn best by practical experience than through passive listening during lessons lectures or demonstrations.
2. Each CEP is unique with regard to its content: they are farmers who decide what is relevant to them and what should address CEPs.
3. Learning from error - everyone's experience of reality is unique and valid.
4. Learning to learn - farmers strengthen their capacities to observe, analyze and make informed decisions.
5. Asking problems / finding solutions - the problems are presented as challenges and not as constraints.
6. Field schools are the learning ground - the field - a the agricultural or livestock system is the main learning tool.
7. Agricultural advisers are facilitators, not teachers - because their role is to guide the learning process.
8. There is strength - as a group, farmers have more power than individual producers.
9. All CEPs follow a systematic training process - the key steps are observation, group discussion, analysis, decision making and action planning
In a typical FFS, a group of 20 to 25 farmers meet once a week in a field and under the guidance of a trained facilitator. In sub-groups of five, they observe and compare two plots over the course of an entire agricultural campaign. One plot follows conventional local methods while the other is used to experiment with what might be considered "best practices". They experiment and observe key elements of the agro-ecosystem by measuring plant development, taking samples of insects, weeds and diseased plants, conducting simple cage trials, or comparing the characteristics of different plants, soils. At the end of the weekly meeting, they present their findings in a plenary session, followed by discussion and planning for the weeks ahead. Alternative practices are not assumed to be automatically superior to conventional practices. It's up to the farmers to decide what works best through their trials and observations. FFS is about providing a risk-free environment in which to discuss, dissect, modify and experiment with new ideas for natural resource management in general. Within this framework, farmers are able to study a wide range of subjects, such as integrated management of soil fertility, conservation agriculture, management of hydraulic or water resources, variety selection methods. local and seed quality issues; the risks associated with toxic pesticides and the implementation of low-toxic alternatives; developing marketing skills; and the diversification of agricultural production systems with new crops for food, fodder and profitability. Nationally and regionally, the list of topics continues to expand. The "learning by doing" approach encourages farm-oriented experimentation, group organization and decision-making, increasing the likelihood that farmers will eventually "own" and adopt the improved practices. At the end of the season, a typical FFS group organizes a field day to show local politicians, government agricultural officials and other farmers what they are doing. Exchange visits with other FFS are also encouraged. The season-long approach helps develop stronger social bonds that continue after the initial FFS. Not all topics can be covered in one season, and FFS groups often continue with new topics and activities in subsequent years. Exploring past trends, the current state, and future scenarios allows groups to prioritize needs, interests and actions for the future. National FFS programs are more than just a collection of FFS. They generally operate at different scales to develop social capital, for example by enabling the strengthening of producer organizations and contributing to greater organizational capacity across the entire value chain - from finance, post-harvest processing and production, marketing to investments. National FFS programs are starting to work in concert with other participatory community initiatives, including community listeners' clubs.
I am seeking best practices on providing students in our charter school (ages 17-24) means by which they can be successful in completing their high school credits.
In academics, particularly for teaching fraternity, authorities expect and assign the teachers multiple tasks and targets, like, teaching (including evaluation of examinees), research-publications (in reputed, indexed journals), academic administration, consultancy and funded research projects, extra-curricular activities, etc. As expected, one cannot do justice in all or cannot excel in each and every functional role or responsibility.
The question here is how best a full time (university) teacher (professor) be evaluated, and how best the institutes should prioritise those 'tasks'/ roles/ functional responsibilities, so as to enable the teachers to perform better (achieving organizational and individual goals)?
Can anyone, cite references of recent literature, and, the best practices?
Thanks & regards
Many journals have appointed one or more 'social media editors', and some have been active for years now. What are their typical roles? Has their impact been studied? Are there any guidelines for best practice?
Dear research community,
i am looking for methodological papers (or a scientific approach) or best practice paper that utilize the same methodology. Due to page limitations we are not able to conduct a literature review. However, our intent is to rely on well-known journal only papers in our discipline and analyze them for a specific aspect, thus conducting only a backward search based on these papers to create a body of literature. By doing so, we want to reach a sufficient rigour without conducting and documenting a completely new literature review.
I am not sure if a metastudy is something like what we want to do but a metastudy is rather abour a quantitative analysis of the literature.
If our approach is realistic and applicable i would be happy for every suggestion how to do it. Any methodological paper on such an approach or any best practice paper would help.
Thank you a lot in advance.
I am currently writing a blockchain paper.
In the next chapter, I'm trying to cover various requirements for developing a blockchain-token based on Ethereum.
Furthermore, in the following chapter I try to compare different distribution channels and create a kind of "best-practice" for token distribution.
Would you have any ideas?
I would be very grateful.
Hi. I am struggling with the mouse animal model. I found that the subcutaneous tumors are extremely uneven in my mode. I injected the same volume of tumor cells (human cell line) suspension s.c. in balb/c null mouse and the size of the tumor show uneven after 1-2weeks. This has a great impact on the following treatment. So, I wonder what is the best practice for subcutaneous tumor inoculation? Or, are there any ways to prevent uneven tumor growth?
Thanks a lot!
Trust this finds you well.
Please assist with the above question. I am specifically interested in the medical domain (however, I guess the 'rule' / best practice will be irrespective of domain).
I have suspicious of contamination in my cell culture flasks but I am not sure. at the same time, I need to check my medium whether is contaminated with bacteria or not. so what is the most practical and effective way to detect contamination not only in the flasks but also in the medium?
as I am working in applied research, I always come across the problem that knowledge is not applied in practice (theory-practice gap). Is there a particularly good paper / book to recommend about this? :-)
Best thanks and best regards
Welcome to this discussion. Here we will discuss about the best practices for making international author collaboration (IAC) s.
Some of the considerable points are needed to know before making IAC, like:
Which country to collaborate?
- Academic background and status of the institute and contributors?
- Funding availability?
- What is her ability to work well with other team members, particularly at a distance, across national boundaries?
- International laws and policies?
- If there is a legal issue then how o fix it?
and the most important
- Obstacles in establishing the international relationship?
Please give your valuable opinion.
I am new to this I am currently doing my dissertation and has some cases where there is data missing. What is the best practice? Should I remove these cases, replace the missing ones with a mean value, any advice would be helpful. I have 527 cases but will be left with 318 if I delete the cases with missing values
What would be your one piece of advice to young academic faculty members as they embark on their first journeys as reviewers for journals and conferences? What pitfalls and mistakes should they avoid? What are some best practices, tips, hacks or secrets of the trade to become more proficient in this new role? Please share insights from your editorial experiences.
For my experiment, we are examing the effects of estrous stage on heroin withdrawal enhanced fear learning in rats, and for several of the test days we would like to acquire the vaginal cells by washing with saline from a pipette. However, we wanted to perform this procedure several days in a row, and I was worried about the possible stress of repeatedly doing this to the animal. Is it okay to perform the flushing technique repeatedly? I can't find anything on the best practices for this or any info about the possible stress it induces. Thank you!
I have an atomic force microscope (AFM) with scanning capacitance mode (SCM). I would like to find a known good sample that lets me check if my tip and microscope are working correctly. For topography we have gratings. For magnetic force microscopy, we have magnetic tape. What is the equivalent for SCM?
Beyond a quick check, are there specimen or best practices for calibrating the capacitance measurements?
I feel like maybe this question is so easy that it's hard and I keep doubting every choice I make, so I thought I would just finally ask online. I have one dependent variable with three levels: percentage of caches a bird make in one of three different types of substrates (sand, gravel, or other). My independent variable has two levels (the three conditions the birds are in whilst caching).
I pretty much know my pattern of results and I have figures drawn up and everything (I can post a small subset of the data if that would be helpful to people in answering the question), but I cannot, for the life of me, figure out if I have chosen the right test to analyse this data and I keep having doubts every time I make any progress.
I'd ran a similar study not too long ago that was almost identical, except the independent variable only had two levels (gravel and sand). Therefore, I could just run a Friedman ANOVA (since the data violated normality assumptions) for percentage of caches in one or the other substrate.
Right now the only solution I have been able to come up with for this is running multiple Friedman ANOVAs, but, as mentioned, I am really starting to doubt this. This is primarily because--unlike when I only had 2 levels in my DV--, I cannot just run a test for one of the levels (e.g. in my first experiment, if 25% of the caches were in sand, you automatically knew the other 75% were in gravel; however, for this experiment, if 25% are in sand, that only means that 75% are in gravel or "other" and you do not know how it is divided up between the these two).
I know there are more advanced forms of analysis as well, like mixed models, but I've been specifically advised against doing those in this particular instance.
It's just that I keep writing and writing, then I get freaked out about my stats, so I do a bunch of research, then I try to re-calculate and re-write….and it's getting to the point where I can't do that anymore. So, I kind of need to know now if I need to change my method of analysis.
Could anyone give me advice?
I've always wanted to try harvesting and analysing data from NCBI, but I've just never really known the best way forward. I know that I can easily download a whole bunch of data from NCBI by just searching for a group on the website, Geneious, or any other number of programs/scripts. But, I end up with a big mess of data that seems difficult to sort through and actually use.
So, for those who routinely download NCBI sequences — particularly using R — can you point me in the right direction of packages or tutorials to make it easier to:
- Summarise the available data (say by species within a particular genus) on the online databases. Perhaps with an output table showing the number of sequences available for genes X, Y, and Z by taxon A, B, and C.
- Choose the genes (i.e., several commonly used phylogenetics genes) and the species you want and download them into an alignment.
- Follow up question — It doesn't look like these databases store a specimen identifiers. So, do I need to trawl through each paper's tables to then link different genes from a single specimen together. Or, do people usually just link genes together from the same species to get a full compliment (this seems dodgy and prone to author error in identification).
Perhaps there is already a document or paper that really summarises these issues and the best-practice nicely, but my search queries haven't found it yet.
Many thanks in advance!
What is the best approach to simulate one year, for example, in WRF? I divided the simulations into 12 months, 52 weeks, or 5 days segments, as some papers have applied (but they did not justified this choice)? There is a best practice?
This discussion aims to initiate knowledge transfer about collaborative writing tips that could be of benefit to researchers. How do you handle collaborative writing? Some researchers share the subtopics/sections among all contributing authors (particularly for review articles). In other instances, the lead author writes the larger portion of the paper. Against this background, what are the best practices about collaborative writing? What methods work best for you either as the lead author or as a contributing author? What are the differences between the research paper and review papers in this regard?
I am looking for approaches and tools applied in European contexts for the evaluation of policies with a specific focus on territorial cohesion and local-regional development.
Do you have best practices suggestions?
I am currently conducting latent profile analyses in Mplus, but I have a hard time finding any recommendation for how to choose variance/covariance matrix. In my experience, less constrained models (with class-varying variances and covariances between items within classes) results in better fit statistics, but it is more difficult to find the "best" model (i.e., replicate the best loglikelihood values) and computing times increase substantially.
My current approach is to run a number of different specifications for variance/covariances and determine the best number of classes for each specification. Then I compare solutions for different specifications to see which solution that provides most relevant information about my study sample. But is there a more systematic approach to choosing variance/covariance matrix? Are choices based on a priori assumptions recommended? Are there any publications describing how to choose specification, e.g., for different types of data? Any help would be much appreciated.
We want to measure Raman spectra of tissue samples. However, we can not take fresh samples. We have to store them first. What is the best practice? Snap freeze? Snap freeze with optimal cutting temperature compound? Paraffin embedding?
We are in between first two. What do you think?
I would appreciate it if you recommend me any CURRENT book or well-structured didactic material about best practices on structuring a Python project. I have found some blogs but I feel like they don't provide in-depth information and I already know most of what they're teaching.
What do you think would it take for anyone to propose a Theological Studies program/curriculum for the Undergraduate level in a State University and College? Kindly identify the prerequisites, guidelines, best practices, challenges, and impediments.
I have had a few lively discussions with colleagues on the appropriate application of the following terms, as they relate to the use of laboratory rats and mice: habituation, acclimation, adaptation, and acclimatization.
When the rats are brought into my research lab, in order to "get used to" everything from the transport from the animal care facility, sounds, sights, odors, etc., is this called habituation?
Preclinical researchers are "on notice" to improve the reproducibility and validity of our data, with the ultimate goal of translatability to clinical discoveries. How can this be accomplished if we cannot even agree on terminology?
I need some resources about clod security evaluation, best practices, security assessment controls and check lists and testing guides in details, both technical and policy based controls. I am familiare with CSA controls but it is too general. is there any thing else more practical like protection profiles?
I'm conducting a masters' research online survey study and am using a range of scales measuring continuous variables e.g. IRI empathic concern and perspective taking (Davis, 1983). I will eventually analyse correlations between 6 variables, and also a multiple regression.
I've found research suggesting item order should be randomised to help eliminate order effects.
However, so many study articles I've read don't mention whether they have randomised or not, so it's hard to say if this is best practice.
Are there any reasons not to randomise item order?
Am working on articles and presentations on supporting Law Enforcement in terms of mental health issues..... and looking for any current research on this topic...
Here in the US a huge issue particularly around the increase in Suicides with this population... so many of us trying to sort out best practices for working with this population...
Thanks for any stats or suggestions....
I am looking for tools/methods for somatic variant calling for unpaired samples. The somatic variant calling through GATK best practices is specifically for tumor/normal paired samples. My study entails somatic variant analysis studying complex disorders, thus I have unpaired samples. I found following options:
Samtools, ISOWN, Mutect (only tumor mode) and SomVarIUS .
I would like to compile as many options as i could and choose the best suitable for my study.
Kindly suggest further options and any opinions and suggestions are welcome.
I am assisting an Endocrinology office in eastern NC with improving their office throughput. Their downloading of patient device data is causing appointments to go over and cause bottlenecking.
Could someone point me in a good direction for best practice information and workflow recommendations in this are?
I am starting a systemic review. And it's my first one. I have figured out the PICO and search keywords. I am overwhelming with massive results from different search engine. They contains duplicates. What is the best practice to combine all the result and remove duplicates.
I've some experience with computational vision, however only the basics of deep learning. I'm searching for indication of courses with a more practical approach. I've seen many different sites trying to seel courses, and I'm looking for the opnion of real people.
Which course would you indicate about the subject and why?
I am and am looking to seek out different research grant opportunities for a research study regarding Athletic Training Clinical Preceptors and best practices for utilizing Interprofessional Practice and Collaboration . Where/how to best locate these research grants?
A relict species population is a population that currently occurs in a restricted area, but whose original range was far wider during a previous geologic epoch. Threatened plant species with small geographic range and small population size are most at risk of extinction and the highest priority in urgent conservation programs. As for the relict endemic species, which witnessed during the past 50 years a significant decrease in the geographical area and population size, it is one of the most important primary goals of conservation, whether in situ or ex situ. In some cases, ex situ conservation is the only available solution to protect a species from extinction and to ensure the possibility of an attempt to return to the wild after its extinction after the improvement of the surrounding environmental conditions. Unfortunately, some species depend on the range of environmental variables so small that by changing the organism cannot adapt to and it becomes extinct. For example, in the cases of plants that depend on the availability of a constant and continuous water source throughout the year, they are subject to a significant collapse in the absence of that water, especially in desert environments. The question now is, how can we increase the chances of conserving these species through in situ practices, given the weak opportunities for long-term financing?
I am looking for some research papers or white papers that investigate how the enforcement of best practices contribute to secure software development?
Any recommendation is appreciated.
Thanks in advance
Ethics and moral values have always being an essential part of teaching and scientific research. How do you teach and evaluate these essential subjects in your daily interaction with students?
I am currently categorizing trends in best practices advice given to college and university faculty. Are there any resources, organizations, or colleges/universities that you consider authoritative with respect to their production and distribution of recommended strategies to your online teaching? Just curious if there are resources I might not have considered.
Hope you are all well.
I would like to know about any best practices of conducting Needs Assessments in the medical field with the Delphi Technique please? Also, best practices to draw up the questionnaire for the Delphi study.
Any tips and Information will be most appreciated.
Many thanks in advance. Much appreciated.
Il Seminario SSIP è un think tank autonomo e indipendente istituito a gennaio 2020 sull'esperienza di un precedente istituto di studi e ricerche denominato "Istituto europeo per le Nuove Professioni". Il Seminario SSIP ha le seguenti finalità (come da Statuto):
a) sostenere e promuovere ogni azione di ricerca, studi, alta formazione, anche attraverso la piattaforma e-learning,intesi alla sviluppo della coscienza internazionale ed europea, in particolare la trasmissione dei valori comuni dell’Organizzazione delle Nazioni Unite (ONU), dell’Unione europea (UE), della partecipazione democratica e civica, dei diritti di cittadinanza italiana ed europea, della libera circolazione, della mobilità giovanile e del turismo; nel settore della comunicazione, privata e pubblica, favorire lo scambio di best practice tra addetti ai lavori della comunicazione istituzionale; delle nuove professioni emergenti a livello internazionale e dell’Unione europea;
b) aderire a progetti pubblici e privati finalizzati alla comprensione tra i Popoli con l’obiettivo di contribuire a raggiungere un livello di conoscenza quantomeno minimo di istruzione e di formazione; contribuire al benessere della persona attraverso un’ambiente più salubre e ecologico, attraverso la cultura, il progresso umano, economico, ambientale e sociale,ilrispetto della dignità umana, della libertà, della democrazia, dell'uguaglianza, dello stato di diritto e del rispetto dei diritti delle persone appartenenti a minoranze in una società fondata sul pluralismo, sulla non discriminazione, sulla tolleranza, sulla giustizia, sulla solidarietà, sulla parità tra donne e uomini e sul pluralismo religiosoin particolare nello spazio euro-mediterraneo;
c)affermare eincoraggiare nei giovani laureati la conoscenza del multilateralismo e delle organizzazioni internazionali, governative e non governative, nella prospettiva della carriera diplomatica, delle carriere internazionali e dei concorsi nelle organizzazioni internazionali e in particolare nell’Unione europea;
d) partecipare a progetti pubblici e privati relativi al mercato digitale per accrescere la competitività digitale ed economica di enti, imprese e persone nonchè la coesione digitale in tutta l'Unione europea e nella prospettiva mondo, in particolare nelle zone più svantaggiate e in ritardo di sviluppo;
e) aderire a progetti interculturali e realizzare scambi internazionali, gemellaggi, azioni concrete di volontariato internazionale finanziati da enti pubblici e privati, nazionali ed internazionali incluse le tematiche dell’immigrazione e dell’integrazione;
f)predisporre studi e ricerche, convegni, seminari, simposi di studio, corsi di formazione e/o aggiornamento professionale e dei docenti della scuola, intesi a favorire la consapevolezza delle problematiche e delle dinamiche internazionali, europee, della geopolitica e del fenomeno della globalizzazione.
We're using a fluorometer (Horiba Aqualog) to analyze fluorescent dissolved organic matter (FDOM) in water samples. The samples are analyzed in quartz cuvettes, which must be bathed in a solution of 50% nitric acid for 24hrs. In theory, the nitric acid bath can be reused between multiple runs.
I'm now trying to find a lidded container that can safely hold 50% H2NO3 at 20 degrees C inside a fumehood for a week or more without damage. Minimum internal dimensions would be approximately 15cm square bottom and 3cm deep. We've considered jars or large beakers, but we need something wide enough to fit a butyl-gloved hand into to handle the delicate cuvettes.
In terms of materials, plastic options exist (https://www.calpaclab.com/chemical-compatibility-bottles-containers/). Teflon would be the "gold star" but I've found no teflon tanks available from suppliers. I'm currently looking at a Nalgene LLDPE rectangular tank with lid. Another idea is a glass bakeware dish with lid (much cheaper and AFAIK 50% nitric won't attack glass).
But I'm curious to know what others are using.
Dear all colleagues,
I run small research about binary classification with Decision Tree. I have about 9000 data consist of about 68 features. I use sklearn for my library for this research since I use Python as programming language.
I use proportion for train and test with this sequence: 7:3,5:5 and 1:9. However, i found that each proportion has high accuracy for the test result (greater 90%) which lead me to suspicious about over-fitting. What is the best practice to investigate the indication of over-fitting of my model?
I've conducted an exploratory factor analysis with 365 participants, and all the data largely is reliable and has gone according to plan. However, when looking at the rotated component matrix (varimax rotation conducted), one of my questions doesn't load onto ANY factor whatsoever (no number is displayed). I've tried to find answers to this, but can't seem to find any papers that illustrate what to do when this happens. I would assume that in this case, I would discount the question altogether?
Can anyone advise on best practice, or guide me towards a paper that may answer my question?
What can be defined as a threshold for engine operation in-cylinder deactivation or skip fire mode?
Keeping below 5% COV of IMEP is no longer feasible right? So what can be the best practice?
It is expected that employees must work in a team or group and help each other. How you consider this philosophy.
Does helping out everyone everywhere but not being getting credited anywhere is a good philosophy ? How to cope with such place and people ?
Do you have any idea of how it may impact the following -
What are Health effects ?
How it effects sustainability ?
Is there any study on growth impacts ?
What about energy and environment ?
How it impacts the ecology and environment ?
How it impacts the local economy ?
I am looking to perform a co-IP; however, I am using a very small amount of tissue to begin with from region specific microdissection in mice (2-3 300um sections per animal). I am concerned that there will not be a sufficient amount of protein and/or the sample will be dilute. Are there any best practices for performing these types of experiments when the yield is low? I know one way would be to collate samples across animals, but this is something I am trying to avoid.
Thanks in advance!