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“An alleged scientific discovery has no merit
unless it can be explained to a barmaid.”
“Radio Transformations” 1906, Ernest Rutherford
Financial Statements 2023 | ($-14.834 M) Deficiency excess of revenue over expenses
Art & Science of Cold Brew & Why
'Girls tell about their time at Canadian College of English Language'https://t.co/SKYf5gNZLXhttps://t.co/fsQaxC1L69 pic.twitter.com/FBywkbB1BY
— Standards Michigan (@StandardsMich) July 1, 2024
McGill figure parmi les meilleures universités du monde. 🌎 Classée 27e au palmarès 2025 du Center for World University Rankings, elle se situe dans le top 0,2 % des 21 462 établissements évalués
➡️https://t.co/4YLh3B1sWN pic.twitter.com/ZpQUShTsFD
— McGill University (@mcgillu) June 4, 2025
Python 3.14.0 beta 4 was released July 8th.
“Python is the programming equivalent
of a Swiss Army Knife.”
— Some guy
Open source standards development is characterized by very open exchange, collaborative participation, rapid prototyping, transparency and meritocracy. The Python programming language is a high-level, interpreted language that is widely used for general-purpose programming. Python is known for its readability, simplicity, and ease of use, making it a popular choice for beginners and experienced developers alike. Python has a large and active community of developers, which has led to the creation of a vast ecosystem of libraries, frameworks, and tools that can be used for a wide range of applications. These include web development, scientific computing, data analysis, machine learning, and more.
Another important aspect of Python is its versatility. It can be used on a wide range of platforms, including Windows, macOS, Linux, and even mobile devices. Python is also compatible with many other programming languages and can be integrated with other tools and technologies, making it a powerful tool for software development. Overall, the simplicity, readability, versatility, and large community support of Python make it a valuable programming language to learn for anyone interested in software development including building automation.
As open source software, anyone may suggest an improvement to Python(3.X) starting at the link below:
Python can be used to control building automation systems. Building automation systems are typically used to control various systems within a building, such as heating, ventilation, air conditioning, lighting, security, and more. Python can be used to control these systems by interacting with the control systems through the building’s network or other interfaces.
There are several Python libraries available that can be used for building automation, including PyVISA, which is used to communicate with instrumentation and control systems, and PyModbus, which is used to communicate with Modbus devices commonly used in building automation systems. Python can also be used to develop custom applications and scripts to automate building systems, such as scheduling temperature setpoints, turning on and off lights, and adjusting ventilation systems based on occupancy or other variables. Overall, Python’s flexibility and versatility make it well-suited for use in building automation systems.
.@PyCon US 2025 is a wrap, and our hearts are full with #Python community love! Thanks to every single one of you who organized, volunteered, attended, & sponsored 🐍🫶 #PyConUS
The PSF office will be closed May 26-28 so our staff can rest & recover. See you back online soon! pic.twitter.com/Sy1hiRmvw4
— Python Software Foundation (@ThePSF) May 27, 2025
Public consultation on joint ISO standard 80000 that defines quantities and units for space, time, thermodynamics, light, radiation and even the characteristic numbers for each of the foregoing closes October 11th.
Electropedia is produced by the world’s peak electrotechnical standardization organization that oversees 214 technical committees that provide a neutral and independent platform where agreement can be found on electrotechnical solutions with global relevance and reach. The IEC operates close-coupled with the European Committee for Electrotechnical Standardization (CENELEC)
International Electrotechnical Commission | CDV Consultations
Come see ‘Pygmalion’ this weekend at Arno Gustin Hall on campus! University of Mary students bring this classic to life in a riveting weekend of performances. 🎬
Showtimes:
Friday – 7:00pm
Saturday – 2:00pm & 7:00pm
Sunday – 2:00pm#Lifeatmary pic.twitter.com/5w5MnEWk4K— University of Mary (@umary) March 21, 2025
‘If you trust government,
you obviously failed history class.’
Senator John Needly Kennedy (Senator, Louisiana)
How the language of climate change has changed
Readings:
Politics and the English Language
Political linguistics: How language shapes politics
The Left and the Right Speak Different Languages—Literally
A Psycholinguistic Study of Political Rhetoric of Fear
The USDA is now censoring its staff on the use of “climate change”
During the early years of Earth Day, there was talk of "global cooling", which included 3 cover stories in Time Magazine. pic.twitter.com/hjijre1k8v
— Bill Steffen (@bsteffen) April 22, 2017
Julia is a programming language that has gained popularity in the field of artificial intelligence (AI) and scientific computing for several reasons.
High Performance: Julia is designed to be a high-performance language, often compared to languages like C and Fortran. It achieves this performance through just-in-time (JIT) compilation, allowing it to execute code at speeds close to statically compiled languages. This makes Julia well-suited for computationally intensive AI tasks such as numerical simulations and deep learning.
Ease of Use: Julia is designed with a clean and expressive syntax that is easy to read and write. It feels similar to other high-level languages like Python, making it accessible to developers with a background in Python or other scripting languages.
Multiple Dispatch: Julia’s multiple dispatch system allows functions to be specialized on the types of all their arguments, leading to more generic and efficient code. This feature is particularly useful when dealing with complex data types and polymorphic behavior, which is common in AI and scientific computing.
Rich Ecosystem: Julia has a growing ecosystem of packages and libraries for AI and scientific computing. Libraries like Flux.jl for deep learning, MLJ.jl for machine learning, and DifferentialEquations.jl for solving differential equations make it a powerful choice for AI researchers and practitioners.
Interoperability: Julia offers excellent interoperability with other languages, such as Python, C, and Fortran. This means you can leverage existing code written in these languages and seamlessly integrate it into your Julia AI projects.
Open Source: Julia is an open-source language, which means it is freely available and has an active community of developers and users. This makes it easy to find resources, documentation, and community support for your AI projects.
Parallel and Distributed Computing: Julia has built-in support for parallel and distributed computing, making it well-suited for tasks that require scaling across multiple cores or distributed computing clusters. This is beneficial for large-scale AI projects and simulations.
Interactive Development: Julia’s REPL (Read-Eval-Print Loop) and notebook support make it an excellent choice for interactive data analysis and experimentation, which are common in AI research and development.
While Julia has many advantages for AI applications, it’s important to note that its popularity and ecosystem continue to grow, so some specialized AI libraries or tools may still be more mature in other languages like Python. Therefore, the choice of programming language should also consider the specific requirements and constraints of your AI project, as well as the availability of libraries and expertise in your development team.
We present a use case below:
A Julia Module for Polynomial Optimization with Complex Variables applied to Optimal Power Flow
Julie Sliwak – Lucas Létocart | Université Sorbonne Paris Nord
Manuel Ruiz | RTE R&D, Paris La Défense
Miguel F. Anjos | University of Edinburgh
ABSTRACT. Many optimization problems in power transmission networks can be formulated as polynomial problems with complex variables. A polynomial optimization problem with complex variables consists in optimizing a real-valued polynomial whose variables and coefficients are complex numbers subject to some complex polynomial equality or inequality constraints. These problems are usually directly expressed with real variables. In this work, we propose a Julia module allowing the representation of polynomial problems in their original complex formulation. This module is applied to power system optimization and its generic design enables the description of several variants of power system problems. Results for the Optimal Power Flow in Alternating Current problem and for the Preventive-Security Constrained Optimal Power Flow problem are presented.
CLICK HERE to order complete paper
“Eco-friendly”, “Green”, “Bio”… Companies are increasingly using those tags as a signal to consumers of their environmental awareness. Yet also on the rise is a public concern about potential corporate lies in this subject, a phenomena labelled as “greenwashing”.
According to IESE professor Pascual Berrone, “many companies highlight one green positive aspect of their product or service, and hide the true impact that its production has on the environment”. With more and more NGO’s act as public watchdogs, “the consequences of getting caught can be, in terms of reputation but also economically, severe”, he says.
ANSI Z535.2-2023: Environmental and Facility Safety Signs
Consistency with Institutional Branding
Compliance with Local Zoning and Building Codes
ADA Accessibility Requirements
Wayfinding and Identification Functionality
Material and Durability Standards
Size and Placement Restrictions
Approval and Review Processes
Safety and Visibility Standards
Temporary Signage Regulations
Somewhat Related:
University of Michigan Naming Policy Guideline
Michigan State University: Building and Facilities Naming
University of Buffalo Naming Guidelines
University of Vienna: Analyzing wayfinding processes in the outdoor environment
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
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