A presentation on a monitor facing an outside window for silent marketing to plaza patrons that includes before and after images that may not show well on this site.
Catalogo di soluzioni soggiorno economici.
Composizioni a libreria o con basi e pensili in laminato colorato o decorato legno.
Librerie a ponte, vetrine colorate o in satinato, elementi angolari e mensoloni a parete.
A presentation on a monitor facing an outside window for silent marketing to plaza patrons that includes before and after images that may not show well on this site.
Catalogo di soluzioni soggiorno economici.
Composizioni a libreria o con basi e pensili in laminato colorato o decorato legno.
Librerie a ponte, vetrine colorate o in satinato, elementi angolari e mensoloni a parete.
Accelrys Announces Experiment Knowledge Base (EKB) for Enterprise Lab ManagementBIOVIA
Today’s complex lab environments inhibit innovation productivity, slowing time-to-market and increasing costs. Improve lab efficiency, knowledge capture and reuse with a solution that quickly transforms scientific data into knowledge. For Chemicals, Manufacturing and Materials companies.
ON THE DEVELOPMENT OF THE
STRENGTH OF MATERIALS LABORATORY:
A NON-EE/CS iLAB FOR STATIC BENDING TEST
(final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Avogadro is being rewritten and architected to put semantic chemical meaning at the center of its internal data structures in order to fully support data-centric workflows. Computational and experimental chemistry both suffer when semantic meaning is lost; through the use of expressive formats such as CML, along with lightweight data-exchange formats such as JSON, workflows that previously demanded manual intervention to retain semantic meaning can be used. Integration with projects like JUMBO and Open Babel when conversion is required, coupled with codes such as NWChem where direct support for CML is being added, allow for much richer storage, analysis, and indexing of data. As web-based data sources add more semantic structure to their data, Avogadro will take advantage of those resources.
Why test automation is getting more difficult, and what can be done about it. This slides are from a presentation by Group Director, Product Management at TestPlant, Gordon McKeown, which was presented at the Northern Lights conference in Manchester in April 2016.
CLIMB System Introduction Talk - CLIMB LaunchTom Connor
Talk outlining the CLoud Infrastructure for Microbial Bioinformatics (CLIMB) system given at the CLIMB Launch in July 2016. CLIMB is a UK national e-infrastructure providing Microbial Bioinformatics as a Service.
How would ESBs look like, if they were done today.Markus Eisele
Looking past former hype topics such as enterprise application integration, ESBs, and SOA, the fact is that the need for reliable integration solutions that are manageable and scalable is growing. More devices and datasources, combined with new and upcoming use cases and exciting wearables in a cloudified and heterogeneous infrastructure, require more bits and pieces than just a central ESB with some rules and point-to-point connections. What would that look like? And how can we keep the resultant solutions manageable? Attend this session to find out.
Chemical Databases and Open Chemistry on the DesktopMarcus Hanwell
The modern chemist has access to large databases containing both experimental and calculated data. The power of HPC resources continues to increase, with more practitioners having routine access to powerful computational chemistry tools. This places an increasingly high burden on users to assimilate these resources into their workflow in order to effectively utilize resources. The creation of an open, extensible application framework that puts computational tools, data, and domain specific knowledge at the fingertips of chemists is increasingly important. A data-centric approach to chemistry, storing all data in a searchable database, will empower users to efficiently collaborate, innovate, and push the frontiers of research. Providing an open, user-friendly and extensible application will open up new tools to experimental chemists, while providing computational chemists the ability to address greater challenges. Additionally, by distributing experimental and computational data across the research community, incorporating cheminformatics analytics techniques, and providing visual search for chemical structures, the workflow of both groups can be significantly improved. This requires suitable data formats for data exchange, and databases with appropriate APIs for querying, and uploading data in order to effectively share. This talk will discuss recent progress made in developing a suite of open chemistry applications on the desktop. The applications can query online databases, such as the NIH structure resolver service, download and manipulate structures, and prepare input files for standalone computational chemistry codes. Another application developed to submit jobs, monitor and retrieve results from HPC resources will also be shown, and a desktop chemistry database browser. The Quixote project aims to establish standards for data exchange in computational chemistry, along with data repositories for organizations. Establishing these standards is important to promote open, reproducible chemistry, and their integration into user-friendly desktop applications will promote their integration in the standard workflow of researchers.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Accelrys Announces Experiment Knowledge Base (EKB) for Enterprise Lab ManagementBIOVIA
Today’s complex lab environments inhibit innovation productivity, slowing time-to-market and increasing costs. Improve lab efficiency, knowledge capture and reuse with a solution that quickly transforms scientific data into knowledge. For Chemicals, Manufacturing and Materials companies.
ON THE DEVELOPMENT OF THE
STRENGTH OF MATERIALS LABORATORY:
A NON-EE/CS iLAB FOR STATIC BENDING TEST
(final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
Avogadro is being rewritten and architected to put semantic chemical meaning at the center of its internal data structures in order to fully support data-centric workflows. Computational and experimental chemistry both suffer when semantic meaning is lost; through the use of expressive formats such as CML, along with lightweight data-exchange formats such as JSON, workflows that previously demanded manual intervention to retain semantic meaning can be used. Integration with projects like JUMBO and Open Babel when conversion is required, coupled with codes such as NWChem where direct support for CML is being added, allow for much richer storage, analysis, and indexing of data. As web-based data sources add more semantic structure to their data, Avogadro will take advantage of those resources.
Why test automation is getting more difficult, and what can be done about it. This slides are from a presentation by Group Director, Product Management at TestPlant, Gordon McKeown, which was presented at the Northern Lights conference in Manchester in April 2016.
CLIMB System Introduction Talk - CLIMB LaunchTom Connor
Talk outlining the CLoud Infrastructure for Microbial Bioinformatics (CLIMB) system given at the CLIMB Launch in July 2016. CLIMB is a UK national e-infrastructure providing Microbial Bioinformatics as a Service.
How would ESBs look like, if they were done today.Markus Eisele
Looking past former hype topics such as enterprise application integration, ESBs, and SOA, the fact is that the need for reliable integration solutions that are manageable and scalable is growing. More devices and datasources, combined with new and upcoming use cases and exciting wearables in a cloudified and heterogeneous infrastructure, require more bits and pieces than just a central ESB with some rules and point-to-point connections. What would that look like? And how can we keep the resultant solutions manageable? Attend this session to find out.
Chemical Databases and Open Chemistry on the DesktopMarcus Hanwell
The modern chemist has access to large databases containing both experimental and calculated data. The power of HPC resources continues to increase, with more practitioners having routine access to powerful computational chemistry tools. This places an increasingly high burden on users to assimilate these resources into their workflow in order to effectively utilize resources. The creation of an open, extensible application framework that puts computational tools, data, and domain specific knowledge at the fingertips of chemists is increasingly important. A data-centric approach to chemistry, storing all data in a searchable database, will empower users to efficiently collaborate, innovate, and push the frontiers of research. Providing an open, user-friendly and extensible application will open up new tools to experimental chemists, while providing computational chemists the ability to address greater challenges. Additionally, by distributing experimental and computational data across the research community, incorporating cheminformatics analytics techniques, and providing visual search for chemical structures, the workflow of both groups can be significantly improved. This requires suitable data formats for data exchange, and databases with appropriate APIs for querying, and uploading data in order to effectively share. This talk will discuss recent progress made in developing a suite of open chemistry applications on the desktop. The applications can query online databases, such as the NIH structure resolver service, download and manipulate structures, and prepare input files for standalone computational chemistry codes. Another application developed to submit jobs, monitor and retrieve results from HPC resources will also be shown, and a desktop chemistry database browser. The Quixote project aims to establish standards for data exchange in computational chemistry, along with data repositories for organizations. Establishing these standards is important to promote open, reproducible chemistry, and their integration into user-friendly desktop applications will promote their integration in the standard workflow of researchers.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
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.
Basic phrases for greeting and assisting costumers
QUESTNET2010 Talk on iLabs
1. ONLINE LABORATORIES:
WE BRING THE LAB TO YOU
Mark Schulz
Centre for Educational Innovation & Technology
The University of Queensland
http://ceit.uq.edu.au
m.schulz@uq.edu.au
2. “If You Can’t Come to the Lab…
the Lab Will Come to You!”
Jesús del Alamo – MIT, Professor Department of EECS
(Earth at 89 GHz; courtesy of J. Grahn, Chalmers U.)
8. REQUIREMENTS
• Experiment must (be able to) be computerised
• Must have access to the Internet
• Minimal software requirement at the user end
• Minimal use of consumables
9. WHY USE A
REMOTE LABORATORY?
• Time Accessibility • Physical Accessibility
• Resource Accessibility • OH&S Issues
• Location Accessibility • Scalability
10. WHEN NOT TO USE A
REMOTE LABORATORY?
• To replace laboratory experiments
• Cheap, commonly available equipment
• Replaceable consumables requiring human intervention
• Continuous human intervention required
• Experiment requires proximity and haptic interface
• Experiment can’t be computerised
11. HOW TO FIND AN
EXPERIMENT
http://openilabs.ilab.uq.edu.au/
19. iLab Batched Architecture
Lab Server
Campus
network Internet
Lab Server
Client Service Broker
University #1 Databases
University #2 Databases
20. WHAT DOES ILAB PROVIDE?
• SERVICE BROKER (web services):
• user and access management (single sign-on coming)
• local (institutional) management of data storage
• scheduler/booking system for access management
• LAB SERVER:
• access given to each Service Broker
• focus on running experiments
21. iLab Batched Architecture
• Special purpose system specific to an
experiment
• Developed by domain specialist
• No user management here
• Verifies experiment before execution
Campus
network Internet
Lab Server
Client Service Broker
University Databases
22. iLab Batched Architecture
• GUI to lab
• Embodies pedagogical experience
• Developed by domain specialist
• Contains generic modules that are
recycled: i.e. graphing, collaboration
Campus
network Internet
Lab Server
Client Service Broker
University Databases
23. iLab Batched Architecture
Campus
network Internet
Lab Server
Client Service Broker
• Serves client to student’s computer
• Mediates between Client and Lab Server
• Performs generic functions: user management,
data storage
• Single signon access to many labs
University Databases
• Managed by and located at end user University
24. iLab Architecture:
development responsibilities
Lab provider:
+ develops Lab Server
Lab provider: + can customise modules developed at UQ
• develops Lab Client + registers this with the Service Broker
• registers this with Service Brokers
Campus
network Internet
Lab Server
Client Service Broker
• provides generic functionality
• developed by MIT, open source
• has well defined web services interfaces
University Databases
25. Lab provider:
• manages Lab Server
• sets lab policy
• manages groups, not individual users
iLab Architecture:
management responsibilities
Campus
network Internet
Lab Server
Client Service Broker
End-user institution:
• manages Service Broker
• manages users (registration, authentication)
University Databases responsible for user data (storage, archiving)
•
26. iLabs Use Around the World
Chalmers
NWU Pavia
Deusto Carinthia
Portland
MIT Parma NTU DLUT
CMU AUB
Cairo CCU Taipei
ITESM
OAU Makerere
UDSM NUS
Mauritius
Queensland
RMIT
iLabs has been used by
22 universities on five continents.
Physical = proximate access to physical equipment and materials; may even be computerised; still essential for training students\nOnline = access via a network (web in our case); must be computerised\nVirtual = simulated; run a simulation or perform in a simulated space (eg, Second Life).\nRemote = accessing a physical lab via the internet\n
Focus of this talk, as this is what we do in CEIT.\nBATCH: set up parameters, send to experiment, wait for a turn to run experiment, results sent back.\nExample: read the radiation count of a radioactive sample for a fixed time at three different distances from the source. \nNO NEED FOR PHYSICAL PROXIMITY; ACTIVITY is PROGRAMMABLE SET OF STEPS\nINTERACTIVE: Book a slot to run an experiment, have complete control of inputs over that time (just like a real expt.).\nExample: download a program into an instrumented embedded computer system and interact with the physical interfaces.\nNO NEED FOR PHYSICAL PROXIMITY, BUT MUST RESPOND TO A SEQUENCE OF INPUTS; difficult to fit to BATCH model.\n
\n
\n
\n
Access: uses port 80 for all communication. Interactive may require other ports (e.g., LabView)\nMinimal Software: download time for UI - mention Africa. Aim is no local Installation of software\nMinimal need for humans at experiment end (fluid replacement, MIT Reactor and human to open port).\n
Time: scheduled classes rarely exceed 9-5 limitations; 24/7 access is the aim. Time to tinker!\nResource: limited set of equipment, places difficulty on access at relevant time in the course. Cost limits provision here too.\nLocation: USQ telescope accessed from US in their daytime teaching time slot, and v.v.\nPhysical: MIT neutron beam port is inside reactor; hard for Australian students to attend on regular basis. \nOH&S: no high school student in QLD can do a school based radiation experiment due to lack of on-site certified radiation officer and facilities.\nScalability: Handle large numbers of users in a manageable fashion.\n\n
Replace: Meant to supplement use of lab\nCheap: measure the potential drop across a resistor with a multimeter (NOT the case in Africa though).\nconsumables: chemicals that are consumed during the experiment; new ones needed and disposal of used ones.\nPointless to pay someone to set up each experiment manually, then turn over control. Won’t scale.\nHaptics: If touching real knobs is part of the learning objective, then must be there. Exploding electrolytics story here.\nMust be able to computerized and be intelligible after this process. Some biological processes may not fit this,e.g., dissect a frog.\n
\n
2nd time of day - use of farms of experiments\nAccess to experiments at MIT.\nlast entry - Flex client is a copy of NWU iLabCentral client to save bandwidth\n
Searchable repository of experiments - not just iLab\nUses semantic web technologies\nAllows more precise searching\n