EN 300 400-500 incubator
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The document describes several incubator models from EN300 to EN500P. The incubators provide precise temperature control from ambient +5°C to 80°C using a PID microprocessor system. They are suitable for biology and microbiology labs. Key features include a user-friendly interface, various temperature alarms and safety controls, and stainless steel or aluminum interiors. Technical specifications provide internal dimensions, temperature ranges and controls for each model.
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Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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Essentials of Automations: The Art of Triggers and Actions in FME
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
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EN 300 400-500 incubator
- 1. EN300-400-500 INCUBATORS EN series incubators offer excellent incubation conditions by means of the microprocessor control system which is operating on PID heating system. Their design is ideal for the applications in all biology and microbiology laboratories such as medical and veterinary; research and quality control examinations in pharmaceutical, food and cosmetics industries and biotechnology. PID microprocessor control system provides constant temperatures in the chamber. Homogeneous temperature distribution in the chamber is obtained by natural air convection in standard models and by air forced ventilation in "P" models. User friendly control system includes two digital displays for temperature and time as well as many functional leds. The inner chamber is made of anodic-oxidated aluminum for standard models and stainless steel for "P" models. The frameless inner glass door allows the observation of samples in the chamber without any temperature drop. Although the microprocessor control system has many safety features, an independent safety thermostat takes over control in case of any failure.
- 2. TECHNICAL SPECIFICATIONS EN 300 EN 400 EN 400P EN 500 EN 500P Temperature Range Ambient Temp. +5ºC / 80ºC Temperature Sensor Fe-Const Control System PID Programmable Microprocessor Temperature set and display sensitivity 0.1ºC Temperature variation (up to 40ºC) ≤ ± 0.5ºC Temperature fluctuation ± 0.1ºC Timer 1 min - 99.9 hours + Hold Position Delayed start timer 1 min - 99.9 hours Useful volume, liters 22 44 42 120 110 No. of shelves (standard/max.) 2/6 2/7 2/7 2/10 2/10 Power Consumption 100 W 200 W 250 W 350 W 400 W Power Supply 230V, 50/60 Hz Internal Material Anodic-oxidated Stainless Anodic-oxidated Stainless coated steel coated steel aluminum aluminum External Material Epoxy-Polyester Powder Coated Steel Internal Dimensions (WxDxH) mm 300x240x300 420x320x360 420x280x360 500x490x500 500x450x500 External Dimensions (WxDxH) mm 555x380x460 700x475x540 700x525x540 780x635x675 790x675x670 Packing Dimensions (WxDxH) mm 640x470x640 790x570x750 790x570x750 870x740x860 870x740x860 Net/Packed Weight, kg 26/31 39/45 40/47 60/70 62/71 Wereservetherighttomodifythedesignanddescription10.12/Z15.K34042(Ü) Esenbo¤a Yolu, 22 km. Akyurt 06750 ANKARA TURKEY Tel : (90.312) 399 28 30 (pbx) Fax : (90.312) 399 21 97 www.nuve.com.tr sales@nuve.com.tr NÜVE SANAYİ MALZEMELERİ İMALAT VE TİCARET A.Ş. rekmay.com.tr ISO 9001:2008 ISO 13485:2003 ACCESSORIES R 01 136 Mesh type shelf for EN 400 R 01 126 Mesh type shelf for EN 400P R 01 135 Mesh type shelf for EN 500 R 01 111 Mesh type shelf for EN 500P K 23 047 Shelf carrier (EN 400) K 23 048 Shelf carrier (EN 400P) K 23 046 Shelf carrier (EN 500) K 23 040 Shelf carrier (EN 500P) Note: 2 pcs. shelf carrier should be ordered for each shelf.