Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth and Flora Logan-Klumpler: Kino : Making Semantic Annotations Easier, Presented at 5th Intl Conf on Semantic Computing (ICSC2011), Palo Alto, CA, September 2011.
From Brains to BRAINs: Neuroscience at the Cutting EdgeJohn Borghi
Since we are in the midst of the Decade of the Mind (not to be confused with the Decade of the Brain), we are constantly inundated by reports of new neuroscience. From direct brain to brain communication, to memory manipulation, to cognition enhancing cybernetics and genetics, cutting edge neuroscience often sounds more like science fiction than actual science. This talk will separate the fact from the fiction of modern neuroscience. We'll discuss the science behind cutting edge neuroscience techniques like Brainbow, expansion microscopy, and functional connectomics and how widely publicized advances in building artificial brains and using apps to detect and affect mental states is more fiction than fact.
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth and Flora Logan-Klumpler: Kino : Making Semantic Annotations Easier, Presented at 5th Intl Conf on Semantic Computing (ICSC2011), Palo Alto, CA, September 2011.
From Brains to BRAINs: Neuroscience at the Cutting EdgeJohn Borghi
Since we are in the midst of the Decade of the Mind (not to be confused with the Decade of the Brain), we are constantly inundated by reports of new neuroscience. From direct brain to brain communication, to memory manipulation, to cognition enhancing cybernetics and genetics, cutting edge neuroscience often sounds more like science fiction than actual science. This talk will separate the fact from the fiction of modern neuroscience. We'll discuss the science behind cutting edge neuroscience techniques like Brainbow, expansion microscopy, and functional connectomics and how widely publicized advances in building artificial brains and using apps to detect and affect mental states is more fiction than fact.
Timo Honkela: Linking Cognitive Systems, Digital Humanities and Brain Cancer ...Timo Honkela
Neuroscience seminar series, Host Prof. Eero Castrén
University of Helsinki, 18 Sep 2015
Abstract
Cognitive systems research in modern artificial intelligence in which statistical machine learning and neural network methods are applied on big data to model complex cognitive phenomena. Often the term socio-cognitive systems is used to emphasize the distributed intelligence point of view in the computational modeling. Digital humanities is an active research area in which topics in humanities and social sciences are studied with the help of methods and tools of computer science. The range of potential topics is vast from the study of historical language to social media discussions, from social network analysis to automatic extraction of topics in peer support groups. In this presentation, methods and research results in cognitive systems and digital humanities are discussed. In addition, personal experiences on brain cancer are viewed with the theoretical background provided by the reseacher in cognitive systems, machine learning and digital humanities. Some ideas on potential future directions for research in medicine and healthcase are also given.
With an intention to provide a high quality free internet resource of chemistry related data for the community, ChemSpider has aggregated almost 25 million compounds linked out to over 400 data sources and provided a platform for the community to both deposit and curate data. This experiment in crowdsourcing for chemistry has now been running for over three years. This presentation will review a number of aspects of the project including (a) the level of community participation in depositing and curating data; (b) the nature of data and content supplied by the community; (c) how ChemSpider is used by the community; (d) using game-based systems to assist in data curation; (e) algorithmic-based approaches to data validation and filtering; and (f) sharing data curation efforts with other online databases.
Timo Honkela: Linking Cognitive Systems, Digital Humanities and Brain Cancer ...Timo Honkela
Neuroscience seminar series, Host Prof. Eero Castrén
University of Helsinki, 18 Sep 2015
Abstract
Cognitive systems research in modern artificial intelligence in which statistical machine learning and neural network methods are applied on big data to model complex cognitive phenomena. Often the term socio-cognitive systems is used to emphasize the distributed intelligence point of view in the computational modeling. Digital humanities is an active research area in which topics in humanities and social sciences are studied with the help of methods and tools of computer science. The range of potential topics is vast from the study of historical language to social media discussions, from social network analysis to automatic extraction of topics in peer support groups. In this presentation, methods and research results in cognitive systems and digital humanities are discussed. In addition, personal experiences on brain cancer are viewed with the theoretical background provided by the reseacher in cognitive systems, machine learning and digital humanities. Some ideas on potential future directions for research in medicine and healthcase are also given.
With an intention to provide a high quality free internet resource of chemistry related data for the community, ChemSpider has aggregated almost 25 million compounds linked out to over 400 data sources and provided a platform for the community to both deposit and curate data. This experiment in crowdsourcing for chemistry has now been running for over three years. This presentation will review a number of aspects of the project including (a) the level of community participation in depositing and curating data; (b) the nature of data and content supplied by the community; (c) how ChemSpider is used by the community; (d) using game-based systems to assist in data curation; (e) algorithmic-based approaches to data validation and filtering; and (f) sharing data curation efforts with other online databases.
Exploiting PubChem for drug discovery based on natural productsSunghwan Kim
Presented at the 256th American Chemical Society (ACS) National Meeting in Boston, MA (August 19, 2018).
==== Abstract ====
PubChem is one of the largest sources of publicly available chemical information, with more than 242.3 million depositor-provided substance descriptions, 94.7 million unique chemical structures, and 234.8 million bioactivity outcomes from 1.25 million assays covering around ten thousand unique protein target sequences. This presentation provides an overview of PubChem’s data, tools, and services useful for drug discovery based on natural products.
PubChem contains a large amount of bioactivity data, most of which are generated from high-throughput screening (HTS). However, these data also include a substantial amount of bioactivity information extracted from scientific articles published in journals in the chemical biology, medicinal chemistry, and natural product domains, thanks to data contribution by other databases like ChEMBL, Guide to Pharmacology, BindingDB, and PDBbind. In addition, through data integration with other databases such as DrugBank, HSDB, and HMDB, PubChem contains a wide range of annotations useful for drug discovery, including pharmacology, toxicology, drug target, metabolism, chemical vendors, scientific articles, patents, and many others.
PubChem supports various types of chemical structure searches, including identify search, 2-D and 3-D similarity searches, substructure and superstructure searches, molecular formula search. It also provides multiple programmatic access routes, including E-Utilities, Power User Gateway (PUG), PUG-SOAP, PUG-REST, and PUG-View, allowing one to build an automated workflow that takes advantage of information contained in PubChem. In addition, through PubChemRDF, users can integrate PubChem’s data into their own in-house data on a local computing machine.
The OntoChem IT Solutions GmbH ...
... was founded in 2015 as a purely IT-oriented offshoot of the OntoChem GmbH. Even before we had many years of experience and it has always been our mission to provide added value to our customers by helping them to navigate today’s complex information world by developing cognitive computing solutions, indexing intranet and internet data and applying semantic search solutions for pharmaceutical, material sciences and technology driven businesses.
We strive to support our customers with the most useful tools for knowledge discovery possible, encompassing up-to-date data sources, optimized ontologies and high-throughput semantic document processing and annotation techniques.
We create new knowledge from structured and unstructured data by extracting relationships thereby exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
We aim at an unprecedented, machine understanding of text and subsequent knowledge extraction and inference. The application of our methods towards chemical compounds and their properties supports our customers in generating intellectual property and their use as novel therapeutics, agrochemical products, nutraceuticals, cosmetics and in the field of novel materials.
It's our mission to provide added value to customers by:
developing and applying cognitive computing solutions
creating intranet and internet data indexing and semantic search solutions
Big Data analytics for technology driven businesses
supporting product development and surveillance.
We deliver useful tools for knowledge discovery for:
creating background knowledge ontologies
high-throughput semantic document processing and annotation
knowledge mining by extracting relationships
exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data. It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology
Bioinformatics is the application of Information technology to store, organize and analyze the vast amount of biological data which is available in the form of sequences and structures of proteins and nucleic acids. The biological information of nucleic acids is available as sequences while the data of proteins is available as sequences and structures.
A biological database is a collection of data that is organized so that its contents can easily be accessed, managed, and updated. The activity of preparing a database can be divided in to:
Collection of data in a form which can be easily accessed
Making it available to a multi-user system (always available for the user)
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
PhD CourseWork
1. AIB
PhD Coursework in Life Sciences
Computational Biology
28 September 2013
Dr. Puneet Kacker
www.puneetsclassroom.in
2. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
2
3. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
3
5. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
5
8. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
8
12. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
12
19. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
19
23. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
23
29. AIB
DALI Server
29
Take a Structure
Search the similar structure
available in the PDB
http://ekhidna.biocenter.helsinki.fi/dali_server/
30. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
30
31. AIB
10 Things You Should Remember
1. Data Security on the Web
2. Remember the Server, the Database, and the Program
Version
3. Write Down the Sequence Unique ID
4. Write Down the Program Parameters
5. Alternative Ways to Save Internet Results
6. Use E-Values
7. Make Sure You Can Trust Your Alignment Results
8. Use Different Programs to Verify Borderline Results
9. Avoid the Use of Unpublished Methods!
10. Use Updated Databases
31
34. AIBOutline
Introduction
Literature Databases
Sequence Databases
Structure Databases
Chemical Databases
Tools for Analysis
Things to Remember
Some Useful Tips
34
35. AIB
Smart Apps for Your Smartphone
35
iMolview
By Molsoft
iCut DNA
By EpIPhone Coders'
Guild
EndNote for iPad
By Thomson Reuters
LabTimer
By 0x0c
PubSearch
By deathraypizza
ChemDraw
By PerkinElmer
RCSB PDB Mobile
By Philip Bourne
Molarity
By Sigma-Aldrich
36. AIB
All The Best!
-:Contact:-
Room Number 407, J3 Block
Amity Institute of Biotechnology
Amity University Uttar Pradesh
Noida-201303
pkacker@amity.edu
www.puneetsclassroom.in
www.facebook.com/AIBBIC