Saurav Kumar

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Notice that the endpoint metadata (as well as all other metadata fields used by grlc) is indicated through standard SPARQL comments plus a bit of YAML syntax. This makes sure that the content of SPARQL files is always SPARQL compliant and doesn't break any standard.
Quick tutorial · CLARIAH/grlc Wiki
Before we finish, we need to tell grlc the endpoint URI against which the query should be executed. There is a number of ways of doing this: you can specify the endpoint URI in the query file, in the repo (in case all queries execute against the same endpoint), or alternatively at execution time as a parameter. To keep things simple, and since we're still editing our query, we'll add the endpoint URI in the query file. We do this by adding the following line at the top:
Quick tutorial · CLARIAH/grlc Wiki
After this, you'll see the file editor. Give your file a name first; it's important you end up with .rq or .sparql, so grlc knows its contents is actually a SPARQL query.
Quick tutorial · CLARIAH/grlc Wiki
Next, we need to create one file inside our new repository for each query we want to transform into an API method. In order to do this, let's first get our query written in SPARQL (grlc supports much more than just SPARQL; but let's use it as a prototypical Linked Data example). We'll type a SPARQL query that retrieves the names of all the Hard Rock bands DBpedia knows about, like this:
Quick tutorial · CLARIAH/grlc Wiki
We'll use this URI later to let grlc know where to find the queries of our API.
Quick tutorial · CLARIAH/grlc Wiki
Its functional status (“Functional” checkbox): When a property is functional, a given individual can have (at most) only one value for this property.
3. OWL ontologies | Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2
Its range (“Ranges”): This is the associated datatype. It can be an integer or a real number, Boolean, character string, date, and so on. Please note: to work with Python and Owlready afterward, it is preferable to use the types integer for integer numbers and deci
3. OWL ontologies | Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2
The disjoint only means that a given grouping cannot be both Isolated and InPair, but it does not prohibit a bacterium from having two distinct groupings, one of the class Isolated and the other of the class InPair.
3. OWL ontologies | Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2
the result ontology is merged into the input ontology immediately, so only the merged ontology will be output
Template | robot
the result ontology merged into the input ontology
Template | robot
the new ontology created from the template, distinct from the input ontology
Template | robot
“input ontology”: the ontology from the previous command or specified by the --input option, used to resolve terms in the templa
Template | robot
If an input ontology is given, its rdfs:labels will be used when parsing the template.
Template | robot
There is no attempt at adding axioms to any PBPKO classes.
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
There is no attempt at adding axioms to any PBPKO classes.
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
No, the BFO hierarchy is imported in PBPKO and ignored completely for all the PBPKO native classes, which include both continuants and occurrents.
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
PBPKO has 'goodness of fit' (PKPBO:00328), an undefined type of 'Statistical Method' (PKPBO:00001, also undefined).
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
The Gene Ontology has an 'excretion' class (GO:0007588) defined as "The elimination by an organism of the waste products that arise as a result of metabolic activity. These products include water, carbon dioxide (CO2), and nitrogenous compounds." These definitions refer to the same process, and PBPKO must import the GO term.
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
Yes, for instance 'Excretion' (PKPBO:00225) is defined as "Removal of a compound from the body through various routes such as urine, feces, and exhalation."
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
The correct pattern that would match the OBO identifier scheme is: http://purl.obolibrary.org/obo/PKPBO_00328
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
I see that many classes are missing definitions, for instance the many classes that appear directly under entity: Falv, fSA_exposed, FSkin_e, PCAir, PCPoor, PCRich, Qair, and others. Also, many other classes at deeper levels in the hierarchy, such as Observed, Predicted, Residual error magnitude, Fcecum, Fcolon, intestinal transit time, linear elimination, and others are all undefined. I can only imagine there is some error in the OBO Dashboard code.
Request for new ontology pbpko · Issue #2563 · OBOFoundry/OBOFoundry.github.io
Essentially, the first row of a ROBOT template is a human-readable header. The second row is the ROBOT template string. Each row below that represents an entity to be created in the output ontology.
ROBOT Mini-Tutorial 1 - Convert, Extract and Template - OBO Semantic Engineering Training
- name: person-rule label: Person type: basic priority: 1 pattern: | [Hamilton] - name: construction-rule label: Construction type: event priority: 2 pattern: | trigger = [lemma=build] subject: Person = >nsubj []
Creating an Index - odinson
This versatile model leverages a bidirectional transformer encoder, similar to BERT, which ensures both high generalization and compute efficiency despite its compact size.
knowledgator/gliner-multitask-large-v0.5 · Hugging Face
if the proposal is accepted with changes, the editor negotiates with the reviewe
fsr_qualification/CONTRIBUTING.md at main · gofair-foundation/fsr_qualification
The slides will contain: Status of Y2 and what work continues in Y3 from Y2. Planned activities and goals of Y3
Calendar - Saurav Kumar - Outlook
A conditional generative adversarial network (cGAN) integrated w
(PDF) PBPK-Adapted Deep Learning for Pre-Therapy Prediction of Voxel-Wise Dosimetry: In-Silico Proof-of-Concept
This study aims to integrate the PBPK model into deep learning for voxel-wise pre-therapy dosimetry prediction.
(PDF) PBPK-Adapted Deep Learning for Pre-Therapy Prediction of Voxel-Wise Dosimetry: In-Silico Proof-of-Concept
Appearance, Density, Semantic and Syntactic.
adlnlp/doc_gcn
variational autoencoders (VAEs)
Dr Andreas Karwath - Institute of Cancer and Genomic Sciences - University of Birmingham
Flask-Caching supports several cache types, including SimpleCache, FileSystemCache, and RedisCache. For our purposes, we’ll be using RedisCache.
Using Flask and Redis to Optimize Web Application Performance | by Fahad Alsaedi | Medium
Flask is a popular Python web framework that allows you to quickly and easily create web applications. Redis is an in-memory data store that can be used as a cache backend. By using Flask and Redis together, you can cache the results of expensive computations and serve them quickly to users
Using Flask and Redis to Optimize Web Application Performance | by Fahad Alsaedi | Medium
The goal of the PhD is to develop a systemic basis for healthcare improvement, through data-driven methods. The student will be responsible for data analysis and building ML, AI and NLP models and pipelines for these projects. The student will collaborate with other researchers, clinicians and practitioners in healthcare.
Doctoral student in data-driven methods for organizing healthcare - Academic Positions
Developers can utilize Error Boundaries to present users with informative error messages, log error specifics to aid in debugging, and ensure the application remains resilient even in the face of unforeseen challenges.
Error Boundaries in React - Handling Errors Gracefully | Refine
Welcome to our blog where we delve into the collaborative efforts between developers and server administrators or DevOps engineers to optimize the Continuous Integration and Continuous Delivery (CI/CD) process.
Building an Automated CI/CD Pipeline using GitHub, Jenkins, NGINX, and Python | by Kcsanjeeb | Feb, 2024 | Medium | Medium
We are going to create a configuration file next. A better way would be to create a symlink between the configuration file in /etc/nginx/sites-available/ and the one in /sites-enabled/
A Simple API in Python using Flask and Nginx and subsequent deployment on AWS EC2 | by Varun Chitale | Medium
The Gunicorn socket will be created at boot and will listen for connections. When a connection occurs, systemd will automatically start the Gunicorn process to handle the connection.
How To Set Up Django with Postgres, Nginx, and Gunicorn on Ubuntu | DigitalOcean
he shortlisted candidates might be asked to write an abstract of provided scientific docu
Home - DC 10 PhD position
.IncrementalOdinsonIndex. (IncrementalOdinsonIndex.scala:62)
Gmail
OdinsonIndex$.fromConfig(OdinsonIndex.scala:229)
Gmail
curl -4 icanhazip.com
How To Secure MongoDB on Ubuntu 20.04 | DigitalOcean
However, authentication is still disabled by default. This means that any users that have access to the server where MongoDB is installed also have complete access to the databases.
How To Secure MongoDB on Ubuntu 20.04 | DigitalOcean
The resulting semantically annotated application programming interfaces (APIs) will be able to provide the input for (i) the PINK Registry, which indexes all available services and data, both publicly available as well as confidential when deploying PINKISH as an in-house software, respectively, (ii) workflows combining different services to evaluate complex criteria (e.g. using physics-based simulations to provide input for LCA analysis or implementing IATAs), (iii) integrated knowledge graphs construction in form of the PINK Knowledge Base (PINK KB) as well as the Chemical Impact Assessment …
About – PINK-Project
based on CV, academic records, recommendation and motivation letters and adequate skill set.
Home - DC 10 PhD position
Following is the compressed trie. Compress Trie is obtained from standard trie by joining chains of single nodes. The nodes of a compressed trie can be stored by storing index ranges at the nodes.
Pattern Searching using Suffix Tree - GeeksforGeeks
The best time complexity that we could get by preprocessing pattern is O(n) where n is length of the text.
Pattern Searching using Suffix Tree - GeeksforGeeks
compressed together in a suffix tree
What is a suffix tree?
In Computational Biology, suffix trees are widely used to identify the repeating structures in a DNA molecule. Similarly, it may be used to find the longest common sub-string or sub-sequence in a DNA sequence.
What is a suffix tree?
It is based on the word search I. We can use exactly the same backtrack method in work search I. In order to search the words more efficiently, we can build a trie to save the words in a more efficient way. We can think Trie as a base 26 number system which can be used to compress bunch of words.
Word search, trie and backtrack. The word search problem can be solved… | by Jimmy (xiaoke) Shen | Medium
To improve the performance of the trie search algorithm, you can use techniques such as path compression and caching. Path compression involves collapsing chains of nodes in the trie that only have one child into a single node, which reduces the size of the trie and speeds up searches. Caching involves storing frequently accessed nodes in a cache to reduce the number of memory accesses needed during a search. These techniques can help reduce the time complexity of the trie search algorithm even further.
What is an efficient trie search algorithm? - Quora