Pistoia Alliance conference April 2016: Robotics: Andrew Hessel
•Download as PPTX, PDF•
1 like•412 views
Biological robots are discussed in the document. The author is Andrew Hessel, a distinguished research scientist at Autodesk who works on biological and nanoscale research. The document also mentions Imperial College and cloud laboratories.
Report
Share
Report
Share
Recommended
Branches Of Robotics
Robotics involves the design, manufacture, and application of robots. It is an interdisciplinary field that includes aspects of electronics, mechanics, and software. Some key branches of robotics include android science, which studies human-robot interaction; artificial intelligence, which aims to create machine intelligence; and nanorobotics, which focuses on controlling nanoscale objects. Other branches discussed are robot surgery, laboratory robotics, robot locomotion, telepresence, swarm robotics, and speech processing.
Summary for Robotics
i used this presentation in my ICT project and i made the video that is in slide 5. it is on youtube and its URL ''http://www.youtube.com/watch?v=pRQmRPnUTHQ''. please like this video on youtube
Digital Marketing Business Competition Analysis & Tools
how to find online competitors? Identifying competition is one of the key area for planning digital marketing strategy for business. The presentation deals with how to identify competitors, key metrics to analyze and digital tools to accomplish analysis
Biomimetic Robot
This document discusses biomimetic robots, which are robots that take inspiration from biological organisms in their structure, function, or mechanisms. It provides an overview of the history and development of biomimetic robots, examples of different types of biomimetic robots modeled after animals such as lobsters, snakes, fish, and insects, and applications of biomimetic robots in areas such as medical, rescue, and space exploration.
Disease Detection Using BioRobotics
This document discusses using biorobotics to detect diseases like Motor Neuron Disease, Parkinson's Disease, and Alzheimer's Disease. It describes the DDX system, a portable device that measures response time, speed, and force using a joystick, buttons, and sensors. The DDX analyzes parameters like reaction time, tremor, and pressure using fuzzy logic to provide intelligent disease detection. It has advantages like portability and remote monitoring capabilities. Future work may include improved hardware, additional diagnostic parameters, and self-learning techniques to enhance the system's performance.
Bio Robotics
DISEASE DETECTOR- an Instrument for an Improved Quality of Life.
An Application for the Analysis of MotorNeuron Diseases
10 New Business Models for this Decade
10 New Business Models for this Decade (beta)
1. Localized Low-Cost Business Model
2. One-Off Experience Business Model
3. Beyond Advertising Business Model
4. Markets Are Conversations Business Model
5. Low-Budget Innovation Business Model
6. Community-Funded Business Model
7. Sustainability-Focused Business Model
8. Twisted Freemium Business Model
9. Unlimited Niches Business Model
10. In-Crowd Customers Business Model
TREND RESEARCH BY Trend Firm trendwatching.com
MARKET ANALYSIS BY Strategy Boutique Thaesis
BUSINESS MODEL DESIGN BY Strategy Consultant/Graphic Facilitator Ouke Arts
Fairification experience clarifying the semantics of data matrices
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
Recommended
Branches Of Robotics
Robotics involves the design, manufacture, and application of robots. It is an interdisciplinary field that includes aspects of electronics, mechanics, and software. Some key branches of robotics include android science, which studies human-robot interaction; artificial intelligence, which aims to create machine intelligence; and nanorobotics, which focuses on controlling nanoscale objects. Other branches discussed are robot surgery, laboratory robotics, robot locomotion, telepresence, swarm robotics, and speech processing.
Summary for Robotics
i used this presentation in my ICT project and i made the video that is in slide 5. it is on youtube and its URL ''http://www.youtube.com/watch?v=pRQmRPnUTHQ''. please like this video on youtube
Digital Marketing Business Competition Analysis & Tools
how to find online competitors? Identifying competition is one of the key area for planning digital marketing strategy for business. The presentation deals with how to identify competitors, key metrics to analyze and digital tools to accomplish analysis
Biomimetic Robot
This document discusses biomimetic robots, which are robots that take inspiration from biological organisms in their structure, function, or mechanisms. It provides an overview of the history and development of biomimetic robots, examples of different types of biomimetic robots modeled after animals such as lobsters, snakes, fish, and insects, and applications of biomimetic robots in areas such as medical, rescue, and space exploration.
Disease Detection Using BioRobotics
This document discusses using biorobotics to detect diseases like Motor Neuron Disease, Parkinson's Disease, and Alzheimer's Disease. It describes the DDX system, a portable device that measures response time, speed, and force using a joystick, buttons, and sensors. The DDX analyzes parameters like reaction time, tremor, and pressure using fuzzy logic to provide intelligent disease detection. It has advantages like portability and remote monitoring capabilities. Future work may include improved hardware, additional diagnostic parameters, and self-learning techniques to enhance the system's performance.
Bio Robotics
DISEASE DETECTOR- an Instrument for an Improved Quality of Life.
An Application for the Analysis of MotorNeuron Diseases
10 New Business Models for this Decade
10 New Business Models for this Decade (beta)
1. Localized Low-Cost Business Model
2. One-Off Experience Business Model
3. Beyond Advertising Business Model
4. Markets Are Conversations Business Model
5. Low-Budget Innovation Business Model
6. Community-Funded Business Model
7. Sustainability-Focused Business Model
8. Twisted Freemium Business Model
9. Unlimited Niches Business Model
10. In-Crowd Customers Business Model
TREND RESEARCH BY Trend Firm trendwatching.com
MARKET ANALYSIS BY Strategy Boutique Thaesis
BUSINESS MODEL DESIGN BY Strategy Consultant/Graphic Facilitator Ouke Arts
Fairification experience clarifying the semantics of data matrices
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
MPS webinar master deck
This webinar discusses driving adoption of microphysiological systems (MPS) in drug R&D. The webinar agenda includes presentations on multi-organ chips for safety and efficacy assessment from TissUse, current applications and future perspectives of organ-on-chips in pharmaceutical industry from AstraZeneca, and driving adoption of MPS from ToxRox Consulting. A panel discussion will be moderated by Mary Ellen Cosenza. The presentations will cover benefits of MPS for reducing drug failures and animal testing, applications across drug discovery and development, challenges for adoption, and perspectives from industry.
Digital webinar master deck final
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
Heartificial intelligence - claudio-mirti
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Fair by design
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinar
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
Data market evolution, a future shaped by FAIR
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
AI in translational medicine webinar
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
CEDAR work bench for metadata management
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBI
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcare
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
Pistoia Alliance-Elsevier Datathon
This document summarizes a webinar on using machine learning and data mining techniques to predict drug repurposing opportunities for chronic pancreatitis. Specifically:
1. Ensemble learning techniques like kernel-based models were used to analyze drug and disease target interaction data from multiple sources to identify potential drug candidates for repurposing.
2. The top 5 repurposing candidates identified through this process were being evaluated further by the partner organization Mission-Cure with the goal of beginning patient trials by January 2020.
3. Additional techniques discussed included using compressed sensing to analyze drug-disease networks and predict side effects to help evaluate candidate drugs identified for repurposing opportunities.
Data for AI models, the past, the present, the future
Prof. John Overington, the CIO of the Medicines Discovery Catapult describes the AssayNet project and its very far reaching implications.
PA webinar on benefits & costs of FAIR implementation in life sciences
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
AI & ML in Drug Design: Pistoia Alliance CoE
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
Ai in drug design webinar 26 feb 2019
Alexander Tropsha presented on using AI and machine learning for drug design and discovery. He discussed using QSAR models to predict properties and activity of molecules based on their structural descriptors. He also introduced ReLeaSE, a new method using deep reinforcement learning to generate novel drug-like molecules and guide chemical library design through a thought cycle of molecule generation, model building, and iterative improvement. If successful, this approach could disrupt traditional computational drug discovery pipelines.
Blockchain and IOT and the GxP Lab Slides
Blockchain, IoT and the GxP lab technology helping compliance?
This webinar discusses how distributed ledger technology like blockchain and IOTA could help enhance compliance in GxP laboratories. It explores how DLT could be used to track devices, materials, and data in a more transparent, trusted and auditable way. Specifically, it presents a vision of an internet-connected "laboratory of the future" where all devices share data using DLT. This could improve integrity, security and access to data while reducing costs. While DLT cannot directly increase compliance, it may help build trust in GxP systems and processes by making components more transparent to regulators.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Thornton ESPP slides UK WW Network 4_6_24.pdf
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
More Related Content
More from Pistoia Alliance
MPS webinar master deck
This webinar discusses driving adoption of microphysiological systems (MPS) in drug R&D. The webinar agenda includes presentations on multi-organ chips for safety and efficacy assessment from TissUse, current applications and future perspectives of organ-on-chips in pharmaceutical industry from AstraZeneca, and driving adoption of MPS from ToxRox Consulting. A panel discussion will be moderated by Mary Ellen Cosenza. The presentations will cover benefits of MPS for reducing drug failures and animal testing, applications across drug discovery and development, challenges for adoption, and perspectives from industry.
Digital webinar master deck final
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
Heartificial intelligence - claudio-mirti
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Fair by design
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Knowledge graphs ilaria maresi the hyve 23apr2020
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinar
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
Data market evolution, a future shaped by FAIR
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
AI in translational medicine webinar
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
CEDAR work bench for metadata management
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBI
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcare
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
Pistoia Alliance-Elsevier Datathon
This document summarizes a webinar on using machine learning and data mining techniques to predict drug repurposing opportunities for chronic pancreatitis. Specifically:
1. Ensemble learning techniques like kernel-based models were used to analyze drug and disease target interaction data from multiple sources to identify potential drug candidates for repurposing.
2. The top 5 repurposing candidates identified through this process were being evaluated further by the partner organization Mission-Cure with the goal of beginning patient trials by January 2020.
3. Additional techniques discussed included using compressed sensing to analyze drug-disease networks and predict side effects to help evaluate candidate drugs identified for repurposing opportunities.
Data for AI models, the past, the present, the future
Prof. John Overington, the CIO of the Medicines Discovery Catapult describes the AssayNet project and its very far reaching implications.
PA webinar on benefits & costs of FAIR implementation in life sciences
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
AI & ML in Drug Design: Pistoia Alliance CoE
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
Ai in drug design webinar 26 feb 2019
Alexander Tropsha presented on using AI and machine learning for drug design and discovery. He discussed using QSAR models to predict properties and activity of molecules based on their structural descriptors. He also introduced ReLeaSE, a new method using deep reinforcement learning to generate novel drug-like molecules and guide chemical library design through a thought cycle of molecule generation, model building, and iterative improvement. If successful, this approach could disrupt traditional computational drug discovery pipelines.
Blockchain and IOT and the GxP Lab Slides
Blockchain, IoT and the GxP lab technology helping compliance?
This webinar discusses how distributed ledger technology like blockchain and IOTA could help enhance compliance in GxP laboratories. It explores how DLT could be used to track devices, materials, and data in a more transparent, trusted and auditable way. Specifically, it presents a vision of an internet-connected "laboratory of the future" where all devices share data using DLT. This could improve integrity, security and access to data while reducing costs. While DLT cannot directly increase compliance, it may help build trust in GxP systems and processes by making components more transparent to regulators.
More from Pistoia Alliance (20)
2020.04.07 automated molecular design and the bradshaw platform webinar
2020.04.07 automated molecular design and the bradshaw platform webinar
Open interoperability standards, tools and services at EMBL-EBI
Open interoperability standards, tools and services at EMBL-EBI
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
Application of recently developed FAIR metrics to the ELIXIR Core Data Resources
Implementing Blockchain applications in healthcare
Implementing Blockchain applications in healthcare
Building trust and accountability - the role User Experience design can play ...
Building trust and accountability - the role User Experience design can play ...
Data for AI models, the past, the present, the future
Data for AI models, the past, the present, the future
PA webinar on benefits & costs of FAIR implementation in life sciences
PA webinar on benefits & costs of FAIR implementation in life sciences
Recently uploaded
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Thornton ESPP slides UK WW Network 4_6_24.pdf
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
20240520 Planning a Circuit Simulator in JavaScript.pptx
Evaporation step counter work. I have done a physical experiment.
(Work in progress.)
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/Bob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Shallowest Oil Discovery of Turkiye.pptx
The Petroleum System of the Çukurova Field - the Shallowest Oil Discovery of Türkiye, Adana
Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...Abdul Wali Khan University Mardan,kP,Pakistan
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skillsThe debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
What is greenhouse gasses and how many gasses are there to affect the Earth.
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Recently uploaded (20)
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
THEMATIC APPERCEPTION TEST(TAT) cognitive abilities, creativity, and critic...
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
Equivariant neural networks and representation theory
Equivariant neural networks and representation theory
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
What is greenhouse gasses and how many gasses are there to affect the Earth.
What is greenhouse gasses and how many gasses are there to affect the Earth.
Pistoia Alliance conference April 2016: Robotics: Andrew Hessel
- 1. Biological Robots PISTOIA ALLIANCE 2016 Andrew Hessel Distinguished Research Scientist Autodesk Bio/Nano Research Group
- 10. Imperial College
- 17. cloud laboratory
- 18. cloud laboratory
Editor's Notes
- We’re already seeing a new generation of scientists.