J Chem For Excel: US UGM 2008
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JChem for Excel is a Microsoft Excel add-in that integrates ChemAxon's JChem and Marvin technologies. It allows users to import and analyze chemical structure data within Excel. Key features include importing structures from databases and files, running structure searches and decomposition, and utilizing chemical properties and calculations as Excel functions. The add-in is implemented in .NET and can be easily installed and deployed within organizations.
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Website: www.entrepreneurindia.co , www.niir.org
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The document discusses the non-compartmental pharmacokinetic model, which does not assume a specific number of compartments and instead assumes first-order elimination. It is a simple approach used to calculate parameters like half-life, clearance, and volume of distribution without complex compartmental assumptions. Key parameters like area under the curve (AUC) and mean residence time can be estimated using this model from concentration-time data using trapezoidal integration without assuming an underlying multi-compartment structure. While simple, this model provides essential exposure parameters needed to understand drug behavior without more complex compartmental modeling.
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Email sample
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Clas13enero
Este documento contiene anuncios clasificados de propiedades en alquiler y venta en Santo Domingo, República Dominicana. Se enumeran varios apartamentos disponibles para alquilar en diversas zonas como Gazcue, El Millón, Miraflores, entre otras. Se proporcionan detalles como el número de habitaciones, baños y precio. También se anuncian algunas propiedades en venta.
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Οδηγός για Νεοφυείς Επιχειρήσεις στη Νέα Υόρκη-ΗΠΑ
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- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
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J Chem For Excel: US UGM 2008
- 1. JChem for Excel Tamas Peltz, Ferenc Csizmadia Solutions for Cheminformatics
- 2. Introduction • Microsoft Excel integrated solution for Marvin and JChem functionality • Use Excel’s powerful features: Functions, Sorting, Filtering, Charts… • Implemented in C# .NET, and Visual Studio • Proof that ChemAxon APIs can be used in a Java-less .NET environment • Easy to install and deploy • UNDER DEVELOPMENT
- 3. Features • Import from Databases using custom filters • Import from, and export to files. • Searching and R-Group Decomposition • Adding, editing structures • Chemical functions among Excel functions
- 4. Import from Database – Manage Connections • JChem Cartridge Databases – Structure search runs on the server • JChem Base Databases – Structure search runs locally – Databases supported • Oracle • Coming: MSSQL, Access, MySQL, ... • Connection settings are saved
- 5. Import from Database - Query • Common interface for client-side or server-side structure searching • Easy to use control for specifying search options • Chemical Terms filter expressions for queries • Optional substructure hit coloring and alignment • Additional SQL filters
- 6. Structure file import and export • Most file formats supported by Marvin could be exported and imported – MRV,SDF,RDF,SMILES , IUPAC name,… • Wizards guide you through the import and export processes
- 7. Import - Results SDF import results Database import results with hit coloring
- 8. R-group Decomposition • Run Decomposition on – JChem Database – Files – Excel Worksheet
- 9. Chemical Excel Functions • Chemical Terms functions and Marvin calculations are implemented as Excel functions: • Composition, Mass, MolFormula • AtomCount, BondCount, ChiralCenterCount,RingCount… • logP,logD, pKa, PSA, H-bond donor/acceptors • Bioavailability, GhoseFilter,LeadLikeness,Lipinski rule of 5… • SubstructureMatch, Dissimilarity • IUPAC Name • StructureImage(draws an image of a structure)
- 10. Chemical Excel Functions • Values are calculated from: • SMILES, SMARTS, IUPAC Name strings • Structure cells – structures resulting from imports, edit, or other functions • Marvin OLE Object (future) • Function results are automatically updated when structures edited or added
- 11. Chemical Excel functions – Demo Property calculations for Caffeine
- 12. Chemical Excel functions – Demo 2 MolFormula, Composition, IUPAC Name calculated from CD_STRUCTURE logD vs. pH calculated and displayed in a chart from a SMILES input
- 13. Reactor Excel Functions • JCReactGetProductImage(<GenericReaction>, <Reagent1>, <Reagent2>) • React the reagents based on the generic reaction, and put the image of the product in the cell • JCReactGetReactionImage(<GenericReaction>, <Reagent1>, <Reagent2>) • React the reagents based on the generic reaction, and put the image of the concrete reaction in the cell • JCReactGetProduct (<GenericReaction>, <Reagent1>, <Reagent2>, <Format>) • React the reagents based on the generic reaction, and put the string representation of the product in the cell(SMILES, IUPAC name) • JCReactGetReaction (<GenericReaction>, <Reagent1>, <Reagent2>, <Format>) • React the reagents based on the generic reaction, and put the string representation of the product in the cell(SMILES , IUPAC name)
- 14. Reactor Excel Functions - Demo =JCReactGetProductImage(<GenericReaction in A1>, <Reagents in A column>, <Reagents in Row1>)
- 15. Deployment • MSI Installer • No configuration needed • ~10MB File with JChem and Marvin API included • Automatic deployment and updates through Active Directory • ClickOnce (Planned Feature) • Update from Excel at startup or when needed
- 16. Find out more • Product descriptions & links www.chemaxon.com/products.html • Forum www.chemaxon.com/forum • Presentations and posters www.chemaxon.com/conf • Download www.chemaxon.com/download.html