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barplot in r software.
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You can use the following code to set up a pattern for each group. You will need both the ggplot2 and ggpattern packages.
ggplot(data, aes(group, x)) + geom_bar_pattern(stat = "identity", pattern_color = "white", pattern_fill = "black", aes(pattern = group))
This should give you the desired result.
Best wishes,
Francesco
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What is the difference between dark-field and bright-field imaging in diffraction pattern Interpretation?
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in bright field mode, the regions with heavier atoms are darker. In the dark field mode the regions are brighter.
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I want to classify the patterns generated on a time series data can any one suggest me which classification algorithm suits well.
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you can use random forest algorithms. I get satisfactory results for sensor time-series data.
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I obtained a XRD pattern with a substrate peak overlap with an amorphous broad peak from my coating. Is it possible for me to delete the substrate peak so I can analyze the amorphous peak?
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As a general trend, the substrate peaks are not removed and only marked separately to show that it is not from the sample.
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I am not getting which part od data is used as PCA components... How to use sensing data for pCA anaysis
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i'm interesting and following the answers
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I have some computer generated patterns and I want to quantify these patterns with respect to different parameters (e.g. size of the markers used in the patterns, binary or grayscale or the color depth). I want to know some of the other possible parameters with respect to which I could quantify and compare them.
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Cells grew in weird patterns. These are equine cord blood mesenchymal stromal cells.
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in serum they shouldnt have any issues with attachmen and at p4 the cells should be well established. it may just be some flaw in the flask where the surface isn't uniform. 
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Are there investigations about heating of the pattern by synchrotron radiation?
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Thank you. But phenomenologically I would like to understand: Is it possible to use the synchrotron heating as to analogous of laser CVD for metals deposition from carbonyls (350-420 K)? For example, it will be nice for NEMS production, due to high brilliance and good emittance (not LIGA-method).
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regarding prioritization of watershed and land use pattern
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It is not clear for which river basin. However, what you are asking is a processed information, which will not be available in public domain unless it is published by the analyzer. 
Prioritization of watershed for what purpose ? First of all you have to spell out what type of problem you want to solve, based on that one can guide what parameters you have to study; what approach you have to adopt and what should be your fixation of criteria for prioritization of any given watershed. 
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While performing EFA, if two variables are loading on same dimension in "Pattern Matrix", what does it means.
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they are both an index of the same latent construct (the "component" represented by that dimension). If your EFA is actually explorative, they help you to interpret the dimension (i.e. component, construct) by finding the similarity behind both variables.
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I mean, leg movements in freestyle swimming are like the swing phase in gait patterns but is there any fact that confirms this?
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I have little confidence of correlation in other than core muscle involvement - in part due to our aquatic ancestry.  The bounce conservation of a running human could never appear in a swimming human.  Loading on joints would seem miles apart.  Swing motion to optimize balance seems of little value.
I guess I am not feeling it, as I try to picture any common motion.
I am happy to hear any opinions....
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Methods to study the behavior of people in urban spaces
The impact on the behavior of people in urban spaces
What is a behavior patterns?
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XRD patterns and structure.
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The attached file teach you easily the theoretical bases of the calculation method
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Among unidirectional, bi-directional, alternating bead or any other type of weld deposition pattern which does show best combination of mechanical properties?
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Dear Sergei, Thank you for your input. You highlighted the important point which need to be focused on while selecting deposition pattern.
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I would like to compare the similarity in temporal pattern between two signals, both have regular on and off patterns. E.g.,
signal 1 is on for 30 seconds and off for 300 seconds and so on,
signal 2 is on for 31 seconds and off for 301 seconds
signal 3 is on for 35 seconds and off for 600 seconds.
Intuitively signals 1 and 2 are more similar in their temporal pattern than 1 and 3 or 2 and 3. What would be a proper measure to quantify such similarity in this case? Would maximum correlation coefficient from a cross correlation work for my purpose? 
Many thanks!
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Hi Augusto,
Many thanks! That explains it!
Mingzi
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Suppose barium concentration in coarse, accumulation and quasi-ultrafine stages is 0.039, 0.189 and 0.056 microgram cubic meter, the what distribution pattern it follows?
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Hi Himanshi
You may have to plot frequency (number of times on y axis) versus barium quantities (microgram per cubic metres on x axis). Have I got the question right?
Best regards
Ravi
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Malta-cross pattern, extinction ratio, contrast ratio and  other scope  pattern, if any more   which one is the best to check the optical quality of electrooptical material and 
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The best measure is directly measuring the elctro-optic coefficient (EOC). One method is using the Pockel's law that relates the EOC (r33) parameter to the refractive index (RI). So, one could measure the RI of an EO crystal before and after poling and use the difference of the RI to calculate the EOC. Higher the EOC, better the EO crystal.
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A part of the research is on how resources of Leatherback sea turtles (Dermochelys coriacea) affect their migration. 
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Please just send me your query at    dsgg@gg.iitkgp.ernet.in   Would be able to send you some relevant publications.
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Am currently a PhD starter going to work on gait analysis whether, culture has influence on gait and does its have an impact on gait pattern. Could you please help me out in finding some articles. Thanks
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Most certainly.  Two examples:
Youth culture - movements including gait are picked up by many people.  Look at the number of young people who walk in ways their parents would consider 'odd'.
Military culture - my personal experience shows that serving and ex-serving soldiers have ways of walking that they/we learned in our immersion in the Service.  I still now, having retired for 13 years, walk 'like a soldier' I am told.
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How to find out the hkl values and phase corresponding to the smaller d spacing (below 1,eg.0.279) obtained from SAED pattern analysis?
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Thank you sir..
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The XRD profile of Sm2O3 we have is not matching with any of the already reported phases and so I presume a new phase is found.  I need some help in the solving crystal structure using Powder XRD pattern. somebody help please.  thank you in advance
The profile pattern is attached as 2theta, Intensity file
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Dear Prof Ian
Well. somehow the data collector sent us this data and I didnt notice what you said. Three days before when my student came with this problem I found that too. Puzzled at the way this data is collected. Something is wrong with the instrument and we have complained it. Thanks for the reply.
Israel Samuel
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I have two groups of data represented by blue and black scatter dots. It seems like their distribution pattern is quite similar in one condition, but not in the other. Does anyone know if there is a quantitative way to compare the distribution pattern of these two groups? Are they significantly different from each other?
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in addition, you could consider the 2D extension of the Kolmogorov Smirnov test :
for two samples, it is implemented as k2d2s (k2d1s for one sample) ; it has been available in "numerical recipes" for decades and certainly in many other environments
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seems to be available in R, too
(disclaimer : i never used this impementation)
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and for a critique of KS in 2D and a proposal of a more complex test :
.
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in ieee papers, only measure the xz plane and yz plane for the polarization. why not consider the other phi and theta values.
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microstrip antenna is a broadside radiator, when the antenna lies in XY plane maximum radiation is along the phi=0(XZ) plane and phi=90(YZ) plane. but along the XY plane radiation is zero.
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Why small angle XRD pattern shows peaks for hexagonal and cubic symmetric structure like SBA-15, MCM-41.
Reflection at 100, 110 and 200
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Dear Christian,
I want to know how these intense reflection are coming at low angle for such periodicity
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In terms of machine learning we have been watching a millions of pattern is being stored inside an actor's memory. Whenever an actor is given a task, or challenged, it searches its memory and looks for a suitable pattern. How about we don't provide our actor any pattern, but allow access to the resources (like a human has) and then, our actor provides us at least a feasible solution? 
case study: Google's alphaGo is thought to be a next gen. intelligent stuff, but as far as I am concerned it also stores moves from 150 previous games (roughly millions of moves) played by some top notch go players. It searches for the pattern, and plays accordingly. Is it such a big deal!!?? Isn't it showing the power of computation due to the gift of super computing!? 
References:
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Dear Ashique,
I suggest you some links and attached files in topics.
- Unsupervised Learning - Université Stanford | Coursera
- Predictive modeling, supervised machine learning, and pattern ...
-Hunting the Snark with Machine Learning, Artificial Intelligence, and ...
-The AI & Machine Learning Glossary for Marketers - Drift Blog
-Deep Reinforcement Learning: Pong from Pixels - Andrej Karpathy blog
-Machine Learning for Designers - O'Reilly Media
- Machine Learning is Fun! – Medium
Best regards
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I am looking for a pattern analysis method to analyse the data for finding patterns. Is there a certain method for this? Do you have any experience?
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This is what I will suggest.
To organize the data set, it is better to store it in CSV text format. {Large data set}
Now as I understand you had previously some data too. {Small data set.}
Feed this small dat set to either Mathematica classify or Theno python library. 
Then feed the large data set to your model and it will spit out patterns based on the small data set. 
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Whether the number of nodes in the pattern layer (which is equal to the no .of input samples ) of General Regression Neural Network Causes Over fitting?
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Dear Agam,
The number of neurons in the GRNN pattern layer is equal to the number of training samples. For each neuron you select sigma parameters (may be the same for all neurons). Too small sigma values cause overfiting, while too large sigma values cause underfitting. So the problem is sigma adjustment.
Regards
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Dear All,
Can you tell me what will be the difference in the XRD pattern of bare Si (100) and Si (111) substrate. I am getting a huge peak at ~69.9 degree (2 theta) for both the substrate, Which corresponds to (400) plane. Is that mean, both the Si substrates are (100) oriented?
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Hi Das,
As far I know, the main diffraction peak on Si(111) is ~ 28.44. As @Miehe is saying, both of substrates are (100) oriented.
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I have carried out the SAED using TEM analysis.
I have the raw data, so please help me how to analyze the SAED pattern using Gatan's digital microgarph softwere.
I have attached  the SAED patterns of  nano-crystalline NiO-YSZ  
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Well, although it's not purely DM-based solution, I would suggest CrysTBox software (see the first link below) which includes a tool for automated analysis of SAED patterns. It's a standalone application for Windows (Linux version to be released) distributed together with a DM plug-in allowing for a comfortable analysis of images opened/acquired using DM.
However, if you are rather interested in some DM script, which does not require installation of any other software, then take a look at Dave Mitchell's web page (the second link below). He has implemented many great tools, including those for automated analysis of SAEDs from polycrystalline materials.
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Do any of you have this paper, would be very  much appreciate you could shared it with me. 
Thank you in advance
Gris
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Yes, very kind of you. I still need it. Could you sent it to my griselda.avilasoria@my.jcu.edu.au
Cheers
Gris
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Dear All,
  i am working on FSW of Cu to SS  (3 mm Thickness) . after welding we have capture micro and macrographs. we have observed different macro and micrographs at samilar set of parameters....can any one help me to figure it out ?
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In FSW, there are some changes in microstructure features along FSW tool's movement, but these changes are local and periodical. These features can be seen as band structure in longitudinal section. Although this inhomogeneity is local, it can make difference between two cross sections. In order to ensure whether the microstructure is uniform at whole of the FSW tool's path, you can observe the microstructure in longitudinal section.
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I need to work with multi-attribute on time-evolving graphs to identify frequent patterns. All help is appreciated.Thanks
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There are some lines in bifurcation diagram that the density of points there, is more than other spaces. Do these lines have Sinusoidal manner?
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Your observation is correct, though what you might expect are polynomial curves in bifurcation diagrams. Search in google for "polynomial curves in bifurcation diagrams" and you will find plenty of material on this topic.
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Please give me any reference.
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Hi, index it first as an electron diffraction pattern, compare the sheets of my lecture.
But be careful, because the cancellation conditions do not necessarily agree. Exactly one would have to perform contrast simulations, with EMS, MacTempas or similar.
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It has been discovered in my recent study that building pattern accounts for high level of reflections, diffraction, refraction of signal in GSM communication.
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The fact is that reflections, diffraction, refraction, scattering, etc will happen in RF wave propagation. These are called secondary waves. The idea is to exploit or use these signals for advantage. When GSM evolved, it is not planned to exploit the secondary waves. Subsequent to GSM, CDMA is evolved and it has incorporated the rake receiver to latch into a reflected signal. 
As bandwidth demand increases, exploitation of secondary waves has started. For example, OFDM and also MIMO.  Therefore, future development will focus on use of secondary waves apart from LOS.
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Given a presence/absence species matrix can one use the beta diversity distance measure
βsim = 1- a/min(b,c)+a    (after Lennon et al 2001 and Koleff et al 2003)
to create a distance matrix as input for a subsequent db-RDA analysis? I am interested in the particular distance measure because I have sampling locations with unequal sampling effort. I would also like to look at the relative contribution of environmental factors and spatial pattern in determining patterns of beta-diversity. Would the above be a valid approach and if not, which would be a suitable coefficient to use for RDA which also accounts for unequal sample size?
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I don't like the pattern style which appears after refinement. I want to change it permanently but whenever I make changes, these are only temporary. Could you please guide me how to change it permanently?
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After adjusting the pattern style use 'File-Save settings' in WinPlotr. It will create winplotr.set file with your current parameters (not only drawing style, so be careful and check what you save). Also, you can create .set files manually (they are plain text) and load any of them with 'File-Load a setting sile'.
In WinPlotr-2006 simply use 'Options-Preferences' and press 'Save global preferences'.
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I've been trying to find literature about the pattern of COX-2 expression in the colon, whether there is a difference between the proximal or distal colon?
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I would say, there is no difference, and if I had to decide then I would favour the
distal colon as a place of higher cox-2 expression (Roy HK, Karolski WJ, Ratashak A.
Distal bowel selectivity in the chemoprevention of experimental colon carcinogenesis
by the non-steroidal anti-inflammatory drug nabumetone Int J Cancer. 2001 May
15;92(4):609-15), but there are some papers showing differences in cox-2 expression
and tumour site (Li FY and Lai MD: Colorectal cancer, one entity or three. J
Zhejiang Univ Sci B 10: 219-229, 2009 or Birkenkamp-Demtroder K, Olesen SH, Sorensen FB, et al:Differential gene expression in colon cancer of the caecum versus the sigmoid and rectosigmoid. Gut 54: 374-384, 2005) on the other hand there are also papers showing no difference like Minoo P, Zlobec I, Peterson M, Terracciano L,
Lugli A. Characterization of rectal, proximal and distal colon cancers based on
clinicopathological, molecular and protein profiles. Int J Oncol. 2010
Sep;37(3):707-18.
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While studying cocrystals,I ball milled the starting materials with a few drops of solvent (with proper frequency,time-1hr).However,I notice the peaks of starting materials in my experimental pattern. While some peaks match with my simulated pattern from SCXRD data,there are still lots of peaks from my starting materials.All my cocrystals are anhydrous. Are there any references which suggest that  some anhydrous co-crystals may require higher temperature or more amount of solvent to form which may not always be satisfied by mechanochemical methods?
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I agree with Mr. Fernandes, indeed most reactions do not have 100% yield...depending on thermodynamical equilibrium, side reactions, kinetic hindrance, metastable phase formation. On the other hand ball-milling as I understand it can introduce quite a lot of mechanical energy, possibly leading to amorphization (which also alters the appearance of a powder pattern, of course).
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How can I simulate a critical path with input pattern (how can I know the input pattern which simulate the critical path and)? 
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Dear Lan
Thank you!
I will try to learn the firmware.
Happy new year! 
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If we make clusters for patterns but each pattern was not equal in numbers of position in playground because the time for each one is different so sometimes. we have 200 position in coordinates x and y and some others we have only 150
Sport neural network
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There are two ways:
1) Fill the missing values. There are many approaches such as using global constant, use mean value, or use more probable value[Data mining : Concept and Techniques, Jiawei Han &Micheline Kamber . page 109] or [Handling Missing Values in Data Mining, Bhavik Doshi].
2) Reduce the extra values from x by using mean or median for some values that you want to remove.
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We have 3 types of design patterns, create, structural and behavioral design patterns. In each type contains few of the patterns, 23 different patterns in total. 
How do I find the identical patterns?
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Hi Muttipatti,
By looking into the source code and finding which design pattern is used can only be done if we know all the 23 patterns thoroughly. If u want to use a tool then the nearest one will be an "object designer" . you can find a object designer in an IDE (like eclipse/ visual studio ) . By dropping all the class files (source code) into the designer, it will automatically draw the class diagrams with all relationships. by comparing this design with the existing class diagrams of the design patterns we can get a hint on what patterns are used.
Hope this helps.
thanks.
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See above
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Dear Constantinos,
First we should define the pattern in case of an image extracting patterns it depends on several characteristics such as shape, size, position, orientation, texture. Normally texture is the most influential factor. In addition, if we take satellite images patterns are not consistent (Forests, crop fields...etc).
If you mean algorithms that uses variable length patterns for intrusion detection there is one named Teirisias pattern discovery algorithm
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I'm looking for a method capable of detecting spatial clusters for point pattern data. K-function is able to describe if an event is present or no aggregation patterns, but can't show cluster location. Does any method do this?
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Is a chemical cleaning with alcohol OK?
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If it's only dust, you probably don't even need alcohol. Have you tried carefully dusting it off with clean (!) compressed air?
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A powerful method for finding new patterns is to take the abstract patterns that we directly observe and look at them by themselves. In this case, lets move beyond the vegetable origins of Fibonacci numbers and just think about the Fibonacci sequence as an interesting entity in its own right.
For example the cone flower and the sunflower both display natures signature of dual, locking spirals.
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I think Qefsere you provided us with an answer. Pattern can be describe by a vector of features describing the characteristic of the pattern (color, shape, texture...etc). Pattern recognition works by using these features to classify and label objects that exists in the image such as theone you showed. 
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I need to know which papers have been published lately dealing with these themes.
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For connection between Fractals and Moire Patterns please see the following links
Moire patterns can be obtained through iterations.
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I need to extract all words after the following pattern "/[Ee]ach/ ([tag:NN]|[tag:NNS]) /has|have/ /\\w|[ ]|[,]/" until the end of the sentence but I am getting unexpected output:
in the second sentence I am getting: "Each campus has a" where the right output is "Each campus has a different name, address, distance to the city center and the only bus running to the campus " 
in the third sentence I am getting  "Each faculty has a " where the right output is " Each faculty has a name, dean and building "
in the fourth sentence the pattern is unable to match the right output which is " each problem has solution, God walling"
It will be appreciate if you could help me in solve this problem, I think that there my pattern has not been written correctly , below is my code
String file="ABC University is a large institution with several campuses. Each campus has a different name, address, distance to the city center and the only bus running to the campus.  Each faculty has a name, dean and building. this just for test each problem has soluation, God walling.";
  Properties props = new Properties();
  props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
  StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
  Annotation document = new Annotation(file);
  pipeline.annotate(document);
  List<CoreLabel> tokens = new ArrayList<CoreLabel>();
  List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
  for(CoreMap sentence: sentences)
   {          
    for (CoreLabel token: sentence.get(CoreAnnotations.TokensAnnotation.class))
            tokens.add(token);
    TokenSequencePattern pattern = TokenSequencePattern.compile("/[Ee]ach/ ([tag:NN]|[tag:NNS]) /has|have/ /\\w|[ ]|[,]/");
    TokenSequenceMatcher matcher = pattern.getMatcher(tokens);
    while( matcher.find()){
        JOptionPane.showMessageDialog(rootPane, matcher.group());
     }
     tokens.removeAll(tokens);
   }
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You can also forget the Stanford Tokens and try something like: "[Ee]ach .* ha(s|ve).*\." <-that's will return the first three sentences. 
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I would like to determine the dissulfide bond pattern, glicosylation pattern and carbohydrate composition of the enzyme that I work in my Master.
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Joe Zaia and Cathy Costello at Boston University 
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I have been looking at iterated local search and memetic algorithm recently. Both algorithms have some form of perturbations and apply a local search. It appears that pattern is present in both algorithm. So is an iterated local search a kind of memetic algorithm? Or a memetic algorithm a kind of iterated local search? 
What is your opinion?
Many thanks in advanced for your contributions.
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If you look at a memetic algorithm as a means of finding initial points from which to start a local optimization method, then it is indeed a form of iterated local search.  There are of course other perspectives from which to consider memetic algorithms (e.g. population dynamics), but examining recombination from the perspective of a single solution can be very useful.
In the end, the goals of restarting a local optimization method are A) restart it from a point that will lead to a different local optimum, and B) try to select the restart point so that it will be better than random.  Since many combinatorial optimization problems have been shown to be globally convex (i.e. the best local optima are clustered in a small region of the search space), restart points near good local optima are a promising place from which to find other good local optima.
An advantage of memetic algorithms is that a population of initial starting points makes it easier to do things like maintain search diversity and keep a memory of highly promising areas of the search space.
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I was trying but I'm not sure what I had done.
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Free software Powdercell can do this job by setting the scale factor. http://www.ccp14.ac.uk/ccp/web-mirrors/powdcell/a_v/v_1/powder/e_cell.html
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"I think many physicists, including myself, agree that there should be some complete description of the universe and the laws of nature. Implicit in that assumption is the universe is intrinsically mathematical." – Simeon Hellerman
Assuming that the universe is intrinsically mathematical, this leaves open the question: What is mathematics?
Is it the case that mathematics is a hunt for structures in the universe? Or is it the case that mathematics and its discovery is independent of the universe?   Or is it both?   Or is it neither?
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What is Mathematics? Very simple: Mathematics is the science of structure, order, and relation that has evolved from elemental practices of counting, measuring, and describing the shapes of objects. It deals with logical reasoning and quantitative calculation, and its development has involved an increasing degree of idealization and abstraction of its subject matter. Since the 17th century, mathematics has been an indispensable adjunct to the physical sciences and technology, and in more recent times it has assumed a similar role in the quantitative aspects of the life sciences.