I'm using Github's Electron, which builds native desktop applications in HTML/JS. I need to handle some blob data from the clipboard, but there are only methods to read text, HTML, images (JPG and PNG) and RTF data. ( )
I don't mind not being able to handle blob data in any specific way, I just need to be able to store it in a local database and then reload it into the clipboard. I assumed I could do this using readText and writeText but I'm not sure that's possible. When copying a PSD file and printing that out using writeText, for example, I get 0 bytes.
Electron Download Blob
Download File 🔥 https://urlin.us/2yGb7F 🔥
I am creating an Electron Application in which I am recording data from webcam and desktop, at the end of the recording session, I want to save the data to a file in the background. I do not know how to write the data from a blob to a file directly. Any suggestions?Below is my current handling for MediaRecord Stop event.
If you do want to not use main process, you can use 'electron-remote' to create background processes to write the file. Additionally, you can invoke ffmpeg in the background process to compress/encode the file into different format.
If the above is not possible, is there a way to customize the built-in conference window provided by the Electron SDK, disabling all other features except the video streams? Specifically, I want to disable the chat feature, removing it both from the bottom toolbar and video element context menu.
Thanks for the info. After consulting the engineering team, it seems like what you are trying to achieve is not possible with our current version of Electron. I have passed your use cases to our engineering team and we will investigate the possibility to support the feature you are looking for. I will let you know if I have any updates.
There is a code dealing with Raw Data in yuv.html in demo.
Does this work?
github.com zoom/zoom-sdk-electron/blob/master/demo/pages/yuv.html Zoom Electron Demo
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Thanks for using Zoom SDK. Are you seeing any other error messages in the console? The AuthWithJwtToken 0 means the auth request has been successfully sent, the authentication process is an async process so the auth result will present in the sdkauthCB( -sdk-electron/blob/master/demo/main.js#L52).
Thanks for the reply and pardon the late response. What you are describing is unexpected, would you mind enabling the log feature while initializing the SDK and provide us the SDK log for further investigation?
Can you try running the demo application to see if you face the same issue?
Here is a troubleshooting article for similar problems in the demo app:
-us/articles/360056583572-How-to-fix-the-demo-app-hanging-after-clicking-SDKAuth
In fact, I can not manually pick any particles from this dateset, I also used template from other workspace (same protein), they have a same result. So I also wondering that whether this particle in 2D classification that looks like what I want are real?
If you could find your particles using the blob picker, then you could be more confident that they are actually present in your micrographs. However, it would still be important to lowpass filter the templates, since you can pick biased noise even if the particles are present! In general, it is rarely correct to reduce the filter value of the template picker.
@J450NP13 I tried to make a minimal reproduction environment in codesandbox but it throws an error when trying to use electron there, have you tried copying the official GLTFExporter example one for one to see if it works as expected?
CheckMyBlob is a machine learning system that can be used to identify ligands in unmodeled fragments of electron density maps or to validate existing models. The server processes PDB/mmCIF and MTZ files and returns a set of ligand predictions along with 3D visualizations of the detected electron density blobs. The server's predictions can be used to model ligands in the detected electron density fragments using Coot.
Go to the main page, select your task (identify or validate ligands), upload your data, visualize and analyze the suggestions. Additionally, you can export the results to a script and model potential ligands directly in Coot. For a step by step tutorial take the Tour.
Blobs are automatically found by analyzing all positive electron density peaks within the Fo-Fc map. To mitigate the problem of ligands divided into multiple blobs, the system detects local maxima and skeletonizes the electron density within the isosurface of each blob, and combines adjacent blobs if the distance between the local maxima or skeleton nodes is less than 2.15 . Finally, any fragments of electron density in the blob isosurface that overlap with the isosurface of the modeled biopolymer atoms are cut out from the blob. In practice, CheckMyBlob is capable of detecting ligands consisting of tens of blob candidates.
In cross-validation experiments involving 696,887 ligand instances (see Ligands section), CheckMyBlob's top prediction was correct 71% of the time, whereas looking at the server's list of top-10 suggestions the correct ligand was within that list 95% of the time. On a separate test set of 17,150 ligands gathered after the training data were collected, the top-1 accuracy and top-10 accuracy were 59% and 93%, respectively. Nevertheless, CheckMyBlob learns ligand descriptions from existing PDB depositions. Even though the ligand instances used for training are selected based on several quality criteria, each CheckMyBlob prediction should be treated as a suggestion that needs further investigation. Moreover, CheckMyBlob's prediction is based solely on the electron density map, and the knowledge about all ligands that might be present in the crystal based on: crystallization conditions, protein buffer components, additional compounds added, compounds that might be retained during protein purification, and any potential chemical reactions in between, should be used to select the most probable suggestions, even if they are not at the top of the prediction list.
The reliability of a concrete prediction can be gauged by the prediction's certainty (probability). Each server prediction is accompanied by a percentage probability of the server being right. The histogram and line plot below present how often the server was right for given certainty level, in terms of absolute and relative values. Both plots show that predictions with higher certainty are in fact very probable, whereas predictions with lower certainty values have a higher chance of being incorrect.
Finally, the reliability of CheckMyBlob's predictions is dictated by the popularity of a given ligand. The ligands that occur more often in the PDB, have more training data. Moreover, some ligands are primarly seen in large, low-resolution structures, where not all small-molecules are carefully modeled. As a result, less popular or low-quality ligands are not always CheckMyBlob's first pick. Below is CheckMyBlob's confusion matrix, which presents the error proportions of each pair of ligands. The matrix takes into account only CheckMyBlob's top suggestion. In most cases, even if the correct answer is not the top suggestion, it is within the list of 10 predictions provided by the server.
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We have employed electron microscopic, biochemical, and molecular techniques to clarify the species of origin of the "Chilean Blob," the remains of a large sea creature that beached on the Chilean coast in July 2003. Electron microscopy revealed that the remains are largely composed of an acellular, fibrous network reminiscent of the collagen fiber network in whale blubber. Amino acid analyses of an acid hydrolysate indicated that the fibers are composed of 31% glycine residues and also contain hydroxyproline and hydroxylysine, all diagnostic of collagen. Using primers designed to the mitochondrial gene nad2, an 800-bp product of the polymerase chain reaction (PCR) was amplified from DNA that had been purified from the carcass. The DNA sequence of the PCR product was 100% identical to nad2 of sperm whale (Physeter catadon). These results unequivocally demonstrate that the Chilean Blob is the almost completely decomposed remains of the blubber layer of a sperm whale. This identification is the same as those we have obtained before from other relics such as the so-called giant octopus of St. Augustine (Florida), the Tasmanian West Coast Monster, two Bermuda Blobs, and the Nantucket Blob. It is clear now that all of these blobs of popular and cryptozoological interest are, in fact, the decomposed remains of large cetaceans.
At that time this approach was feasible for ordered arrays, well-ordered helices or icosahedral viruses, assemblies with symmetrically arranged units. Methods for structure determination of asymmetric or irregular objects, which include most of the interesting and important machines in biology, were slowly but steadily developing elsewhere, notably in the lab of Joachim Frank in the US.
Jacques Dubochet got vitrification (turning the water in the aqueous sample into a solid, glass like state) to work in a simple and elegant way by just plunging thin layers of molecules, complexes, viruses, membranes or even thin cellular structures into a cryogen that would remain liquid while rapidly transferring heat from the specimen [2]. This approach really took off, because you could do EM of real biological samples, isolated and purified, or of thin regions of cells. The technology for keeping the samples cold and stable in the microscope has steadily improved over the decades. At the same time, the software developments were needed in order to deal with the low contrast and low signal to noise ratio in images of unstained biological samples. 152ee80cbc
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