1. Dose response relationships can be represented by either graded or quantal curves, with graded curves showing a continuous response to varying doses and quantal curves showing the proportion of subjects responding at different doses.
2. Key features of dose response curves include the median effective dose (ED50) which produces a 50% response, potency which is measured by the dose required for 50% effect, and the therapeutic index which is the ratio of toxic to effective doses.
3. Both curve types provide information about a drug's potency but graded curves also indicate maximum efficacy while quantal curves show variability in individual responses.
"DRUG RESPONSE CURVE & THERAPEUTIC" it's a topic in which detail information about How Drug Response when taken in body & effect of various drugs on body with there Response Curve is Given.
"DRUG RESPONSE CURVE & THERAPEUTIC" it's a topic in which detail information about How Drug Response when taken in body & effect of various drugs on body with there Response Curve is Given.
Pharmacokinetics - drug absorption, drug distribution, drug metabolism, drug ...http://neigrihms.gov.in/
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A power point presentation on general aspects of Pharmacokinetics suitable for undergraduate medical students beginning to study Pharmacology. Also suitable for Post Graduate students of Pharmacology and Pharmaceutical Sciences.
Receptor types, mechanism, receptor pharmacology, drug receptor interactions, theories of receptor pharmacology, spare receptors and new concepts like biased agonism
Pharmacokinetics - drug absorption, drug distribution, drug metabolism, drug ...http://neigrihms.gov.in/
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A power point presentation on general aspects of Pharmacokinetics suitable for undergraduate medical students beginning to study Pharmacology. Also suitable for Post Graduate students of Pharmacology and Pharmaceutical Sciences.
Receptor types, mechanism, receptor pharmacology, drug receptor interactions, theories of receptor pharmacology, spare receptors and new concepts like biased agonism
Lecture Objectives:
After completion of the lecture, students will be able to:
• Describe Quantitatively describe the relationship between drug, receptor,
and the pharmacologic response.
• Explain why the intensity of the pharmacologic response increases with
drug concentrations and/or dose up to a maximum response.
• Describe relationship of dose to pharmacologic effect
Dose-Response Relationship:
A drug's pharmacological effect is determined by its concentration at the site of action, which is determined by the dose administered. Such a relationship is called 'dose-response relationship’.
1. Introduction
2. Dose response curve
3. Drug effiacy
4. Drug potency
5. Drug safety
6. Therapeutic index
7. Toxicity studies
8. Margin of toxicities
9. Thank you
bind to receptors and produce a response-
effects of various types
2. Antagonists
bind to receptors without producing a response and by occupying the receptors they prevent action of agonists.
branch of pharmacology dedicated to determine the fate of substances administ...adnan mansour
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Pharmacokinetics (from Ancient Greek pharmakon "drug" and kinetikos "moving, putting in motion"; see chemical kinetics), sometimes abbreviated as PK, is a branch of pharmacology dedicated to determine the fate of substances administered to a living organism. The substances of interest include any chemical xenobiotic such as: pharmaceutical drugs, pesticides, food additives, cosmetics, etc. It attempts to analyze chemical metabolism and to discover the fate of a chemical from the moment that it is administered up to the point at which it is completely eliminated from the body. Pharmacokinetics is the study of how an organism affects a drug, whereas pharmacodynamics (PD) is the study of how the drug affects the organism. Both together influence dosing, benefit, and adverse effects, as seen in PK/PD models.
Pharmacokinetics (from Ancient Greek pharmakon "drug" and kinetikos "moving, putting in motion"; see chemical kinetics), sometimes abbreviated as PK, is a branch of pharmacology dedicated to determine the fate of substances administered to a living organism. The substances of interest include any chemical xenobiotic such as: pharmaceutical drugs, pesticides, food additives, cosmetics, etc. It attempts to analyze chemical metabolism and to discover the fate of a chemical from the moment that it is administered up to the point at which it is completely eliminated from the body. Pharmacokinetics is the study of how an organism affects a drug, whereas pharmacodynamics (PD) is the study of how the drug affects the organism. Both together influence dosing, benefit, and adverse effects, as seen in PK/PD models.
Expt. 4 DRC of acetylcholine using frog rectus abdominis muscleVISHALJADHAV100
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Objective
Principle
Requirements
Experimental specifications (conditions)
Preparation of ACh stock and standard solutions
Preparation of frog ringer solution (PSS)
Procedure
Kymograph recording of contractions
Observation table
Calculation of magnification value (Mf)
Graphical presentation of CRC/ DRC
Result and interpretation
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview​
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
25. [D] (concentration units) % Maximal Effect 0.01 0.10 1.00 10.00 100.00 1000.00 0.0 0.2 0.4 0.6 0.8 1.0 Partial agonist Full Agonist Partial agonist PARTIAL AGONISTS - EFFICACY Even though drugs may occupy the same # of receptors, the magnitude of their effects may differ.
52. BELL SHAPED CURVE majority of responders in the middle mean response is approx. 110 mg/kg fewer responders at the end of bell curve (expected) known as biological variability responders at the far left of the mean are typically hypersusceptible whereas those at the far right are resistant