¿Es posible construir el Airbus de la Supercomputación en Europa?AMETIC
Presentación a cargo de Mateo Valero, Director del Barcelona Supercomputing Center, en el marco de la 30ª edición de los Encuentros de Telecomunicaciones y Economía Digital.
Mateo Valero - Big data: de la investigación científica a la gestión empresarialFundación Ramón Areces
El 3 de julio de 2014, organizamos en la Fundación Ramón Areces una jornada con el lema 'Big Data: de la investigación científica a la gestión empresarial'. En ella estudiamos los retos y oportunidades del Big data en las ciencias sociales, en la economía y en la gestión empresarial. Entre otros ponentes, acudieron expertos de la London School of Economics, BBVA, Deloite, Universidades de Valencia y Oviedo, el Centro Nacional de Supercomputación...
High Performance Cyberinfrastructure Enabling Data-Driven Science Supporting ...Larry Smarr
11.05.13
Invited Presentation
Sanford Consortium for Regenerative Medicine
Salk Institute, La Jolla
Larry Smarr, Calit2 & Phil Papadopoulos, SDSC/Calit2
Title: High Performance Cyberinfrastructure Enabling Data-Driven Science Supporting Stem Cell Research
The document discusses the future of networks and big data transmission over the next 10 years. It notes that the volume of data being generated is increasing exponentially and will grow 44 times from 2009 to 2020. This data comes from various sources like social media, sensors, mobile devices, and scientific instruments. It is also generated in many different formats. Networks will need to adapt to handle the massive scale and speed of big data by moving to a more flexible software-defined networking model that can push computing resources closer to where the data is located. This represents a shift away from traditional specialized network hardware towards a network operating system that provides a global view and control of the network.
Formulating Evolutionary Dynamics of Organism-Environment Couplings Using Gra...Hiroki Sayama
Hiroki Sayama and Yaneer Bar-Yam, Formulating evolutionary dynamics of organism-environment couplings using graph product multilayer networks, an invited talk at PhysPlex II: Second Satellite Symposium on Multilayer and Interconnected Networks: Applications, at Conference on Complex Systems 2017 (CCS 2017), September 21, 2017, Cancun, Mexico.
Jasper Horrell - SKA and Big Data: Up in Space and on the GroundSaratoga
Jasper Horrell manages the Science Computing and Innovation sector at SKA SA, focussing on the science and engineering of the telescope, Jasper has a vision for Africa as a leader in knowledge-based activity.
Slides from talks presented at Mammoth BI in Cape Town on 17 November 2014.
Visit www.mammothbi.co.za for details on the event. Follow @MammothBI on twitter.
Variant (SNPs/Indels) calling in DNA sequences, Part 1 Denis C. Bauer
This document discusses various topics related to mapping short sequencing reads to a reference genome, including:
- File formats like FASTQ that store sequencing reads and BAM/SAM formats for aligned reads.
- Alignment algorithms like hash table-based (MAQ, BWA) and suffix tree-based (BWA, Bowtie) mappers.
- Visualizing alignments using the Integrative Genomics Viewer (IGV).
- Performing quality control on BAM files by checking the percentage of mapped reads and coverage uniformity.
- The next session will focus on identifying genomic variants from mapped reads through SNP/indel calling and filtering.
¿Es posible construir el Airbus de la Supercomputación en Europa?AMETIC
Presentación a cargo de Mateo Valero, Director del Barcelona Supercomputing Center, en el marco de la 30ª edición de los Encuentros de Telecomunicaciones y Economía Digital.
Mateo Valero - Big data: de la investigación científica a la gestión empresarialFundación Ramón Areces
El 3 de julio de 2014, organizamos en la Fundación Ramón Areces una jornada con el lema 'Big Data: de la investigación científica a la gestión empresarial'. En ella estudiamos los retos y oportunidades del Big data en las ciencias sociales, en la economía y en la gestión empresarial. Entre otros ponentes, acudieron expertos de la London School of Economics, BBVA, Deloite, Universidades de Valencia y Oviedo, el Centro Nacional de Supercomputación...
High Performance Cyberinfrastructure Enabling Data-Driven Science Supporting ...Larry Smarr
11.05.13
Invited Presentation
Sanford Consortium for Regenerative Medicine
Salk Institute, La Jolla
Larry Smarr, Calit2 & Phil Papadopoulos, SDSC/Calit2
Title: High Performance Cyberinfrastructure Enabling Data-Driven Science Supporting Stem Cell Research
The document discusses the future of networks and big data transmission over the next 10 years. It notes that the volume of data being generated is increasing exponentially and will grow 44 times from 2009 to 2020. This data comes from various sources like social media, sensors, mobile devices, and scientific instruments. It is also generated in many different formats. Networks will need to adapt to handle the massive scale and speed of big data by moving to a more flexible software-defined networking model that can push computing resources closer to where the data is located. This represents a shift away from traditional specialized network hardware towards a network operating system that provides a global view and control of the network.
Formulating Evolutionary Dynamics of Organism-Environment Couplings Using Gra...Hiroki Sayama
Hiroki Sayama and Yaneer Bar-Yam, Formulating evolutionary dynamics of organism-environment couplings using graph product multilayer networks, an invited talk at PhysPlex II: Second Satellite Symposium on Multilayer and Interconnected Networks: Applications, at Conference on Complex Systems 2017 (CCS 2017), September 21, 2017, Cancun, Mexico.
Jasper Horrell - SKA and Big Data: Up in Space and on the GroundSaratoga
Jasper Horrell manages the Science Computing and Innovation sector at SKA SA, focussing on the science and engineering of the telescope, Jasper has a vision for Africa as a leader in knowledge-based activity.
Slides from talks presented at Mammoth BI in Cape Town on 17 November 2014.
Visit www.mammothbi.co.za for details on the event. Follow @MammothBI on twitter.
Variant (SNPs/Indels) calling in DNA sequences, Part 1 Denis C. Bauer
This document discusses various topics related to mapping short sequencing reads to a reference genome, including:
- File formats like FASTQ that store sequencing reads and BAM/SAM formats for aligned reads.
- Alignment algorithms like hash table-based (MAQ, BWA) and suffix tree-based (BWA, Bowtie) mappers.
- Visualizing alignments using the Integrative Genomics Viewer (IGV).
- Performing quality control on BAM files by checking the percentage of mapped reads and coverage uniformity.
- The next session will focus on identifying genomic variants from mapped reads through SNP/indel calling and filtering.
The document discusses how computation can accelerate the generation of new knowledge by enabling large-scale collaborative research and extracting insights from vast amounts of data. It provides examples from astronomy, physics simulations, and biomedical research where computation has allowed more data and researchers to be incorporated, advancing various fields more quickly over time. Computation allows for data sharing, analysis, and hypothesis generation at scales not previously possible.
This document summarizes a talk titled "AWager for 2016: How SoftwareWill Beat Hardware in Biological Data Analysis". The talk discusses how software approaches can outpace hardware for analyzing large biological datasets. It notes that current variant calling approaches have limitations due to being I/O intensive and requiring multiple passes over data. The talk introduces approaches using lossy compression and streaming algorithms that can perform analysis more efficiently using less memory and in a single pass. This could enable analyzing a human genome on a desktop computer by 2016 as wagered. The talk argues that with better algorithmic tools, biological data analysis need not require large computers and can scale with the information content of data rather than just data size.
I spoke on "Big Data in Biology". The talk basically concentrates on how biology has affected big data and how big data has become a key player in biology. I have also covered how DNA storage can address long term archival storage.
This document discusses advances in long-read genome assembly methods and their applications in clinical research. It summarizes that:
1) New long-read technologies have enabled assembly of complete telomere-to-telomere human genomes, introducing nearly 200 Mb of new sequence compared to previous references.
2) A human pangenome reference consortium aims to generate complete diploid assemblies of over 350 diverse individuals to improve representation of global genomic diversity.
3) Complete genome assemblies are revealing new variation in medically important regions like those associated with spinal muscular atrophy that were previously difficult to study with short reads.
This document summarizes research on exploiting large-scale web semantics. It discusses using the semantic web as a source of background knowledge for ontology mapping. Two strategies are described for deriving mappings between terms by combining information from multiple online ontologies in the semantic web. An evaluation of using these strategies to map over 1600 terms between the AGROVOC and NALT ontologies achieved a 70% precision rate by drawing from 180 different ontologies in the semantic web. The research demonstrates that the semantic web can effectively be used as a source of background knowledge to address the knowledge acquisition bottleneck and help scale intelligent problem solving.
An Alternative to Hard Drives in the Coming Future:DNA-BASED DATA STORAGEvivatechijri
Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up, there emerges a requirement for a storage medium with high capacity, high storage density, and possibility to face up to extreme environmental conditions. According to a research in 2018, every minute Google conducted 3.88 million searches, other people posted 49,000 photos on Instagram, sent 159,362,760 e-mails, tweeted 473,000 times and watched 4.33 million videos on YouTube. In 2020 it estimated a creation of 1.7 megabytes of knowledge per second per person globally, which translates to about 418 zettabytes during a single year. The magnetic or optical data-storage systems that currently hold this volume of 0s and 1s typically cannot last for quite a century. Running data centres takes vast amounts of energy. In short, we are close to have a substantial data-storage problem which will only become more severe over time. Deoxyribonucleic acid (DNA) are often potentially used for these purposes because it isn't much different from the traditional method utilized in a computer. DNA’s information density is notable, 215 petabytes or 215 million gigabytes of data can be stored in just one gram of DNA. First we can encode all data at a molecular level and then store it in a medium that will last for a while and not become out-dated just like floppy disks. Due to the improved techniques for reading and writing DNA, a rapid increase is observed in the amount of possible data storage in DNA.
The document discusses the evolution of the Internet of Things (IoT), which represents the next stage in the development of the Internet. As devices become embedded with sensors and connectivity, it is estimated that there will be over 50 billion connected devices by 2020, far surpassing the world's human population. This growth will be driven by the integration of sensors into everyday objects and the standardization of IP protocols. The IoT will generate unprecedented amounts of data traffic and transform how people and machines interact online.
Data analysis & integration challenges in genomicsmikaelhuss
Presentation given at the Genomics Today and Tomorrow event in Uppsala, Sweden, 19 March 2015. (http://connectuppsala.se/events/genomics-today-and-tomorrow/) Topics include APIs, "querying by data set", machine learning.
Internet of things (IoT) and big data- r.nabatinabati
This document provides an introduction to Internet of Things (IoT) and Big Data Analytics. It discusses why IoT is an important and growing trend, defining IoT as connecting physical objects to the internet. It notes that billions of devices are expected to be connected by 2020. The document then discusses some key IoT technologies like communication standards, sensors, and embedded systems. It also outlines some common IoT applications and opportunities in areas like smart homes, healthcare, transportation and more. Finally, the document introduces some characteristics of big data, such as the scale, variety and velocity of data that is now being generated and needs to be analyzed.
SARA is a Dutch organization that provides e-infrastructure services to support research, including high-performance computing, data services, and networking. The presenter works on the BiG Grid project, which provides over 6000 compute cores and 10PB of storage to support data-intensive e-science. Challenges include managing diverse stakeholder needs, ensuring continued funding, and adapting infrastructure to keep pace with rapidly changing technologies and scientific requirements. Collaboration across institutions is key to maintaining a strong e-science environment in the Netherlands and Europe.
Chemical similarity using multi-terabyte graph databases: 68 billion nodes an...NextMove Software
The document summarizes a presentation about using large graph databases for chemical similarity searching. It describes building a graph database of 68 billion molecular substructures from 340 million molecules and using graph edit distance to perform sublinear-scaling searches through the database to identify similar molecules. This approach scales better to large datasets than traditional fingerprint-based similarity methods.
IoT growth forecasts currently tend to span 30 – 60 Bn ‘Things’ by 2030. However, this ignores the central IoT role in realising sustainable societies where raw materials and component use have to see very high levels of reuse, repurposing, and recycling. In such a world almost everything we possess and use will have to be tagged and be electronically addressable as a part of the IoT. Such a need immediately sees growth estimates of 2Tn or more over the span of Industry 4 and 5. On the basis of energy demands alone, it is inconceivable that the technologies of BlueTooth, WiFi, 4, 5, and 6G could support such demand, and nor are the signaling and security protocols viable on such a scale.
The evolution of the IoT will therefore most likely see a new form of dynamic network requiring new lightweight protocols employing very little signal processing, together with very low energy wireless technologies (in the micro-Watt range) operating over extremely short distances (~10m). This need might be best satisfied by a new form of ‘Zero Infrastructure Mesh Networks’ that engage in active resource sharing, lossy probabilistic routing, and cyber security realised through an integrated ‘auto-immunity’ system. Ultimately, we might also envisage data amalgamation at key nodes that have a direct connection into the internet along with an additional layer of cyber checks and protection.
We justify the above assertions by illustrating the energy and network limitations of today’s 5G networks and those already obvious in current 6G proposals. We then go on to detail how a suitable IoT MeshNet might be configured and realised, along with a few solutions and emergent outcomes on the way.
My family visited Paris, France when I was in 6th grade. We explored the city and visited famous landmarks like the Eiffel Tower, Louvre museum, and Versailles palace. Versailles was originally built by King Louis XIV and contains beautiful gardens and artwork. We also took a river cruise along the Seine river and saw Notre Dame cathedral from the water. The trip created fond memories of exploring Paris with my family.
Simplicial closure & higher-order link predictionAustin Benson
This document discusses higher-order link prediction and simplicial closure as ways to analyze and model higher-order interactions in network data. It summarizes that networks can be viewed as weighted projected graphs where simplices "fill in" structures, and that new simplices and closed triangles tend to form through trajectories of nodes reaching "simplicial closure events". It proposes evaluating models of higher-order structure through higher-order link prediction, predicting the formation of new simplices.
Peering The Pacific Research Platform With The Great Plains NetworkLarry Smarr
The Pacific Research Platform (PRP) connects research institutions across the western United States with high-speed networks to enable data-intensive science collaborations. Key points:
- The PRP connects 15 campuses across California and links to the Great Plains Network, allowing researchers to access remote supercomputers, share large datasets, and collaborate on projects like analyzing data from the Large Hadron Collider.
- The PRP utilizes Science DMZ architectures with dedicated data transfer nodes called FIONAs to achieve high-speed transfer of large files. Kubernetes is used to manage distributed storage and computing resources.
- Early applications include distributed climate modeling, wildfire science, plankton imaging, and cancer genomics. The PR
08.04.14
Invited Talk
National Astrobiology Institute Executive Council Meeting
Astrobiology Science Conference 2008
Santa Clara Convention Center
Title: High Performance Collaboration
Santa Clara, CA
Summary
There has never been a time in the history of our species that has seen such innovation and rapid progress; and we have never been so confounded by the world we have realized! For sure, we have crossed the Rubicon from a linear past to a non-linear future and find ourselves lacking many of the basic tools we need to fully address the major problems confronting us.
In such an environment we have to prepared to be ‘unreasonable’, to challenge established wisdom, conventions and practices. So in this session, I present three challenging cases that do just that:
1) Wireless Spectrum: It is infinite and there is no bandwidth crisis!
2) Cyber Security: We need auto-immune systems aka biology
3) Information War: The biggest threat to the survival of our species
Next generation genomics: Petascale data in the life sciencesGuy Coates
Keynote presentation at OGF 28.
The year 2000 saw the release of "The" human genome, the product of a the combined sequencing effort of the whole planet. In 2010, single institutions are sequencing thousands of genomes a year, producing petabytes of data. Furthermore, many of the large scale sequencing projects are based around international collaboration and consortia. The talk will explore how Grid and Cloud technologies are being used to share genomics data around the planet, revolutionizing life science research.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
More Related Content
Similar to InSb Nanowire Heterostructures for Topological Quantum Computing
The document discusses how computation can accelerate the generation of new knowledge by enabling large-scale collaborative research and extracting insights from vast amounts of data. It provides examples from astronomy, physics simulations, and biomedical research where computation has allowed more data and researchers to be incorporated, advancing various fields more quickly over time. Computation allows for data sharing, analysis, and hypothesis generation at scales not previously possible.
This document summarizes a talk titled "AWager for 2016: How SoftwareWill Beat Hardware in Biological Data Analysis". The talk discusses how software approaches can outpace hardware for analyzing large biological datasets. It notes that current variant calling approaches have limitations due to being I/O intensive and requiring multiple passes over data. The talk introduces approaches using lossy compression and streaming algorithms that can perform analysis more efficiently using less memory and in a single pass. This could enable analyzing a human genome on a desktop computer by 2016 as wagered. The talk argues that with better algorithmic tools, biological data analysis need not require large computers and can scale with the information content of data rather than just data size.
I spoke on "Big Data in Biology". The talk basically concentrates on how biology has affected big data and how big data has become a key player in biology. I have also covered how DNA storage can address long term archival storage.
This document discusses advances in long-read genome assembly methods and their applications in clinical research. It summarizes that:
1) New long-read technologies have enabled assembly of complete telomere-to-telomere human genomes, introducing nearly 200 Mb of new sequence compared to previous references.
2) A human pangenome reference consortium aims to generate complete diploid assemblies of over 350 diverse individuals to improve representation of global genomic diversity.
3) Complete genome assemblies are revealing new variation in medically important regions like those associated with spinal muscular atrophy that were previously difficult to study with short reads.
This document summarizes research on exploiting large-scale web semantics. It discusses using the semantic web as a source of background knowledge for ontology mapping. Two strategies are described for deriving mappings between terms by combining information from multiple online ontologies in the semantic web. An evaluation of using these strategies to map over 1600 terms between the AGROVOC and NALT ontologies achieved a 70% precision rate by drawing from 180 different ontologies in the semantic web. The research demonstrates that the semantic web can effectively be used as a source of background knowledge to address the knowledge acquisition bottleneck and help scale intelligent problem solving.
An Alternative to Hard Drives in the Coming Future:DNA-BASED DATA STORAGEvivatechijri
Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up, there emerges a requirement for a storage medium with high capacity, high storage density, and possibility to face up to extreme environmental conditions. According to a research in 2018, every minute Google conducted 3.88 million searches, other people posted 49,000 photos on Instagram, sent 159,362,760 e-mails, tweeted 473,000 times and watched 4.33 million videos on YouTube. In 2020 it estimated a creation of 1.7 megabytes of knowledge per second per person globally, which translates to about 418 zettabytes during a single year. The magnetic or optical data-storage systems that currently hold this volume of 0s and 1s typically cannot last for quite a century. Running data centres takes vast amounts of energy. In short, we are close to have a substantial data-storage problem which will only become more severe over time. Deoxyribonucleic acid (DNA) are often potentially used for these purposes because it isn't much different from the traditional method utilized in a computer. DNA’s information density is notable, 215 petabytes or 215 million gigabytes of data can be stored in just one gram of DNA. First we can encode all data at a molecular level and then store it in a medium that will last for a while and not become out-dated just like floppy disks. Due to the improved techniques for reading and writing DNA, a rapid increase is observed in the amount of possible data storage in DNA.
The document discusses the evolution of the Internet of Things (IoT), which represents the next stage in the development of the Internet. As devices become embedded with sensors and connectivity, it is estimated that there will be over 50 billion connected devices by 2020, far surpassing the world's human population. This growth will be driven by the integration of sensors into everyday objects and the standardization of IP protocols. The IoT will generate unprecedented amounts of data traffic and transform how people and machines interact online.
Data analysis & integration challenges in genomicsmikaelhuss
Presentation given at the Genomics Today and Tomorrow event in Uppsala, Sweden, 19 March 2015. (http://connectuppsala.se/events/genomics-today-and-tomorrow/) Topics include APIs, "querying by data set", machine learning.
Internet of things (IoT) and big data- r.nabatinabati
This document provides an introduction to Internet of Things (IoT) and Big Data Analytics. It discusses why IoT is an important and growing trend, defining IoT as connecting physical objects to the internet. It notes that billions of devices are expected to be connected by 2020. The document then discusses some key IoT technologies like communication standards, sensors, and embedded systems. It also outlines some common IoT applications and opportunities in areas like smart homes, healthcare, transportation and more. Finally, the document introduces some characteristics of big data, such as the scale, variety and velocity of data that is now being generated and needs to be analyzed.
SARA is a Dutch organization that provides e-infrastructure services to support research, including high-performance computing, data services, and networking. The presenter works on the BiG Grid project, which provides over 6000 compute cores and 10PB of storage to support data-intensive e-science. Challenges include managing diverse stakeholder needs, ensuring continued funding, and adapting infrastructure to keep pace with rapidly changing technologies and scientific requirements. Collaboration across institutions is key to maintaining a strong e-science environment in the Netherlands and Europe.
Chemical similarity using multi-terabyte graph databases: 68 billion nodes an...NextMove Software
The document summarizes a presentation about using large graph databases for chemical similarity searching. It describes building a graph database of 68 billion molecular substructures from 340 million molecules and using graph edit distance to perform sublinear-scaling searches through the database to identify similar molecules. This approach scales better to large datasets than traditional fingerprint-based similarity methods.
IoT growth forecasts currently tend to span 30 – 60 Bn ‘Things’ by 2030. However, this ignores the central IoT role in realising sustainable societies where raw materials and component use have to see very high levels of reuse, repurposing, and recycling. In such a world almost everything we possess and use will have to be tagged and be electronically addressable as a part of the IoT. Such a need immediately sees growth estimates of 2Tn or more over the span of Industry 4 and 5. On the basis of energy demands alone, it is inconceivable that the technologies of BlueTooth, WiFi, 4, 5, and 6G could support such demand, and nor are the signaling and security protocols viable on such a scale.
The evolution of the IoT will therefore most likely see a new form of dynamic network requiring new lightweight protocols employing very little signal processing, together with very low energy wireless technologies (in the micro-Watt range) operating over extremely short distances (~10m). This need might be best satisfied by a new form of ‘Zero Infrastructure Mesh Networks’ that engage in active resource sharing, lossy probabilistic routing, and cyber security realised through an integrated ‘auto-immunity’ system. Ultimately, we might also envisage data amalgamation at key nodes that have a direct connection into the internet along with an additional layer of cyber checks and protection.
We justify the above assertions by illustrating the energy and network limitations of today’s 5G networks and those already obvious in current 6G proposals. We then go on to detail how a suitable IoT MeshNet might be configured and realised, along with a few solutions and emergent outcomes on the way.
My family visited Paris, France when I was in 6th grade. We explored the city and visited famous landmarks like the Eiffel Tower, Louvre museum, and Versailles palace. Versailles was originally built by King Louis XIV and contains beautiful gardens and artwork. We also took a river cruise along the Seine river and saw Notre Dame cathedral from the water. The trip created fond memories of exploring Paris with my family.
Simplicial closure & higher-order link predictionAustin Benson
This document discusses higher-order link prediction and simplicial closure as ways to analyze and model higher-order interactions in network data. It summarizes that networks can be viewed as weighted projected graphs where simplices "fill in" structures, and that new simplices and closed triangles tend to form through trajectories of nodes reaching "simplicial closure events". It proposes evaluating models of higher-order structure through higher-order link prediction, predicting the formation of new simplices.
Peering The Pacific Research Platform With The Great Plains NetworkLarry Smarr
The Pacific Research Platform (PRP) connects research institutions across the western United States with high-speed networks to enable data-intensive science collaborations. Key points:
- The PRP connects 15 campuses across California and links to the Great Plains Network, allowing researchers to access remote supercomputers, share large datasets, and collaborate on projects like analyzing data from the Large Hadron Collider.
- The PRP utilizes Science DMZ architectures with dedicated data transfer nodes called FIONAs to achieve high-speed transfer of large files. Kubernetes is used to manage distributed storage and computing resources.
- Early applications include distributed climate modeling, wildfire science, plankton imaging, and cancer genomics. The PR
08.04.14
Invited Talk
National Astrobiology Institute Executive Council Meeting
Astrobiology Science Conference 2008
Santa Clara Convention Center
Title: High Performance Collaboration
Santa Clara, CA
Summary
There has never been a time in the history of our species that has seen such innovation and rapid progress; and we have never been so confounded by the world we have realized! For sure, we have crossed the Rubicon from a linear past to a non-linear future and find ourselves lacking many of the basic tools we need to fully address the major problems confronting us.
In such an environment we have to prepared to be ‘unreasonable’, to challenge established wisdom, conventions and practices. So in this session, I present three challenging cases that do just that:
1) Wireless Spectrum: It is infinite and there is no bandwidth crisis!
2) Cyber Security: We need auto-immune systems aka biology
3) Information War: The biggest threat to the survival of our species
Next generation genomics: Petascale data in the life sciencesGuy Coates
Keynote presentation at OGF 28.
The year 2000 saw the release of "The" human genome, the product of a the combined sequencing effort of the whole planet. In 2010, single institutions are sequencing thousands of genomes a year, producing petabytes of data. Furthermore, many of the large scale sequencing projects are based around international collaboration and consortia. The talk will explore how Grid and Cloud technologies are being used to share genomics data around the planet, revolutionizing life science research.
Similar to InSb Nanowire Heterostructures for Topological Quantum Computing (20)
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).