Atoms, Molecules & Stoichometry (I)
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![Relative Atomic Mass Scale ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],© my-chem-tutor.blogspot.com Note: Relative atomic masses have no units (dimensionless) since they are relative to the arbitrary standard (i.e. ratio). However, in more advanced texts, relative masses are represented in terms of atomic mass units (u) 12 C 12 “units”](https://image.slidesharecdn.com/atoms-molecules-stoichometry-i-1206456626458991-4/85/Atoms-Molecules-Stoichometry-I-1-320.jpg)
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-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
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.
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
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Atoms, Molecules & Stoichometry (I)
- 2. (1) Relative Isotopic Mass - the mass of one atom of an isotope of an element relative to 1/12 the mass of an atom of carbon-12 isotope. (2) Relative Atomic Mass, Ar - the average mass of one atom of an element relative to 1/12 the mass of an atom of carbon-12 isotope. - the weighted average of the relative isotopic masses of the element e.g. Ar of Cl = 75/100 x 35 + 25/100 x 37 = 35.5 Definitions © my-chem-tutor.blogspot.com
- 3. (3) Relative Molecular Mass, Mr - the average mass of one molecule of a compound relative to 1/12 the mass of an atom of carbon-12 isotope. - sum of the individual Ar of the atoms in the molecular formula e.g. Mr of CH 4 = 12 + (1 x 4) = 16 (4) Relative Formula Mass - the average mass of one formula unit of ionic compound relative to 1/12 the mass of an atom of carbon-12 isotope. © my-chem-tutor.blogspot.com CH 4 16 “units” Relative Masses may be visualized as the number of “balls” or “units” required to balance the isotope, atom, molecule or ionic compound. TIP
- 4. Mole & Avogadro’s Constant Mole - is the amount of substance which contains the same number of particles ( atoms, molecules, ions, electrons etc ) as there are atoms in exactly 12g of 12 C. Avagadro’s constant, L - is the exact number of carbon atoms in 12g of 12 C. (i.e. L= 6.02 x 10 23 ). Molar Mass - the mass of one mole of a substance (g/mol). © my-chem-tutor.blogspot.com Mole may be visualized as just another quantitative term! TIP 6.02 x 10 23 units A Mole 12 units A Dozen 2 units A Pair