Charcuterie refers to a variety of cured meats, often accompanied by an assortment of cheeses, fruits, nuts, bread, and spreads. Originating from France, charcuterie was initially focused solely on prepared meat products, such as sausages, pâtés, and confits. Today, a charcuterie board is a popular way to serve an array of meats and complementary foods in a visually appealing and flavorful arrangement as demonstrated here for the Office of Alumni and Family Engagement by Alaura Westrol, Class of 2011.
The Codex Alimentarius Commission regularly reviews and updates its standards and guidelines to reflect the latest scientific knowledge and technological advancements in the food industry. These standards are voluntary, but they serve as a reference for countries and international organizations when developing their own food safety and quality regulations. Compliance with Codex standards can facilitate international trade by ensuring that food products meet common criteria for safety and quality.
Some of the key areas addressed by Codex standards include:
Food safety:Codex sets standards for food contaminants, residues of pesticides and veterinary drugs, food additives, and microbiological criteria to ensure that food products are safe for consumption.
Food labeling:Codex provides guidelines on how food products should be labeled, including information on ingredients, nutrition, allergens, and more.
Food hygiene: It establishes principles and guidelines for food handling, processing, and storage to prevent foodborne illnesses.
Food quality:Codex standards also cover the quality attributes of various food products, including fruits, vegetables, and various processed foods.
Food additives:Codex regulates the use of food additives to ensure they are safe for consumption and serve a specific purpose in food production.
Residue limits:It sets maximum residue limits for various chemicals, such as pesticides and veterinary drugs, in food products to protect consumers from potential harm.
The release of Beaujolais Nouveau is not just about the wine itself; it’s a cultural and marketing phenomenon that brings people together to celebrate the harvest season, promotes the wine industry, and contributes to the economic and cultural vitality of the regions involved. The settlements listed below contribute significantly to wine-related research, education, and innovation. Some notable universities and research institutions in France that lead wine research include:
University of Bordeaux (Institute of Vine and Wine Science): The University of Bordeaux, located in one of the world’s most famous wine regions, is renowned for its research in viticulture, oenology, and wine-related sciences. The Institute of Vine and Wine Sciences (ISVV) within the university is a key research center in this field.
Montpellier SupAgro: Montpellier SupAgro, part of the Montpellier University of Excellence, is known for its expertise in agronomy, viticulture, and oenology. They offer research programs and collaborate with the wine industry.
University of Burgundy:The University of Burgundy, situated in the heart of the Burgundy wine region, conducts research in oenology and viticulture. The Jules Guyot Institute is a leading research facility in the field.
Institut des Sciences de la Vigne et du Vin (ISVV): Located in Bordeaux, this research institute is dedicated to vine and wine sciences and is affiliated with the University of Bordeaux.
University of Reims Champagne-Ardenne:This university, located in the Champagne region of France, has expertise in Champagne production and conducts research related to winemaking and viticulture.
These institutions, along with various research centers and organizations throughout France, contribute to advancements in wine research, including topics like grape cultivation, wine production techniques, wine chemistry, and the study of wine regions and terroirs. They often collaborate with the wine industry and help maintain France’s position as a leader in the global wine industry.
Beaujolais Nouveau is produced under specific regulations and standards set by the French wine industry. However, there isn’t a specific international standard for Beaujolais Nouveau like there is for some other wines, such as those with controlled designations of origin (AOC) or protected designation of origin (PDO) status.
The production of Beaujolais Nouveau is governed by the rules and regulations of the Beaujolais AOC (Appellation d’Origine Contrôlée), which defines the geographical area where the grapes must be grown, the grape varieties allowed, and the winemaking techniques that can be used. The AOC regulations ensure a certain level of quality and authenticity for wines carrying the Beaujolais Nouveau label.
Winemakers producing Beaujolais Nouveau must follow these guidelines, including using the Gamay grape variety, employing specific vinification methods (such as carbonic maceration), and releasing the wine within a limited time frame after the harvest.
While the production standards are regulated at the national level in France, individual producers may have their own techniques and styles within the broader framework of the Beaujolais AOC regulations.
It’s important to note that the term “Beaujolais Nouveau” itself is not a specific indication of quality or adherence to particular winemaking practices; rather, it signifies a style of wine that is young, fresh, and meant to be consumed shortly after production. As a result, the characteristics of Beaujolais Nouveau can vary from producer to producer within the general guidelines set by the AOC
Ernest Renan (1823-1892) was a French philosopher, historian, and scholar of religion. He is best known for his work on nationalism and the relationship between language, culture, and identity. The language of technology– and the catalog of codes, standards, guidelines, recommended practices and government regulations rest upon a common understanding of how things can and should work separately. The essay is widely cited:
In our domain we routinely see technical agreement and disagreement among stakeholders resolved, or left unresolved because of definitions — even when discussion is conducted in English. We keep the topic of language (Tamil (மொழி) — since it is one of the most widely spoken languages on earth) on our aperiodic Language colloquia. See our CALENDAR for the next online meeting; open to everyone.
English and French are the two most prominent diplomatic languages, especially in historical and international contexts. They have long been the primary languages of diplomacy due to their widespread use in international organizations and historical influence.
English: Dominates in modern diplomacy, international law, and global organizations. It is the working language in many international forums, including the United Nations, NATO, and the Commonwealth of Nations.
French: Traditionally known as the “language of diplomacy,” French was the dominant diplomatic language until the 20th century. It remains a significant language in international relations, particularly within the United Nations, the European Union, and many African nations.
While other languages like Spanish, Arabic, Russian, and Chinese are also used in diplomatic contexts and are official languages of the United Nations, English and French are the most universally recognized and utilized in diplomatic settings.
At the 1853 New York World’s Fair Elisha Otis amazed a crowd when he ordered the only rope holding the platform on which he was standing cut by an axeman. The platform fell only a few inches before coming to a halt; thus proving the safety locking mechanism he had invented will work. These elevators quickly became the type in most common usage and made vertical living possible.
Most large research universities have 100 – 1000 elevators that are highly regulated, maintained by highly regulated service personnel and inspected by highly trained conformance operatives; thus our primary interest in state-specific regulations. We have a secondary interest in innovation in the technology generally. Many sustainability goals urged in academic circles — which include greater population density in smaller areas — are challenged by mobility issues.
From the project prospectus:
“…The main feature of these products is that they are an integral part of industrial, residential or public buildings. Consequently, they should be adaptable to the technical and architectural constraints of such buildings. They must also meet the capacity requirements imposed by the intended use of the building. These products are considered as means of transport and therefore represent an essential component of the functional life of the buildings in which they are installed. Contrary to most public means of transport, they are intended for free use and operation by their passengers, which makes the integration of safety an essential concern…”
We maintain the work products of this committee on the standing agendas of our Mechanical, Elevator and Global colloquia; open to everyone. See our CALENDAR for the next online meeting.
Michigan Stadium — the largest collegiate stadium in the world — has 19 elevators.
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.
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.
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/njrDAbSpwBpic.twitter.com/GkAXrHoQ9T
