Clean the chicken, put it in a large pot and cover it with cold water. Bring the water to boil.
Add the chicken wings, onions, sweet potato, parsnips, turnips and carrots. Boil about 1 and a half hours. Remove fat from the surface as it accumulates.
Add the parsley and celery. Cook the mixture about 45 min. longer.
Remove the chicken. The chicken is not used further for the soup. (The meat makes excellent chicken parmesan.)
Put the vegetables in a food processor until they are chopped fine or pass through a strainer. Both were performed in the present study.
Add salt and pepper to taste.
(Note: This soup freezes well.) Matzo balls were prepared according to the recipe on the back of the box of matzo meal (Manischewitz).
Today marks the 10th anniversary of Chancellor Jeffrey P. Gold’s remarkable journey with UNMC. Thank you, @jeffreypgold, for your unwavering commitment to excellence and your visionary guidance to the UNMC community. https://t.co/jgGhyMH55rpic.twitter.com/fPxvyMsnz2
— University of Nebraska Medical Center (@unmc) February 1, 2024
The world begins at a kitchen table. No matter what, we must eat to live.
The gifts of earth are brought and prepared, set on the table.
So it has been since creation, and it will go on.
We chase chickens or dogs away from it. Babies teethe at the corners. They scrape their knees under it.
It is here that children are given instructions on what it means to be human.
We make men at it, we make women.
At this table we gossip, recall enemies and the ghosts of lovers.
Our dreams drink coffee with us as they put their arms around our children.
They laugh with us at our poor falling-down selves and as we put ourselves back together once again at the table.
This table has been a house in the rain, an umbrella in the sun.
Wars have begun and ended at this table. It is a place to hide in the shadow of terror.
A place to celebrate the terrible victory.
We have given birth on this table, and have prepared our parents for burial here.
At this table we sing with joy, with sorrow. We pray of suffering and remorse. We give thanks.
Perhaps the world will end at the kitchen table, while we are laughing and crying, eating of the last sweet bite.
Standards and benchmarks for evaluating large language models (LLMs). Some of the most commonly used benchmarks and standards include:
GLUE (General Language Understanding Evaluation): GLUE is a benchmark designed to evaluate and analyze the performance of models across a diverse range of natural language understanding tasks, such as text classification, sentiment analysis, and question answering.
SuperGLUE: SuperGLUE is an extension of the GLUE benchmark, featuring more difficult language understanding tasks, aiming to provide a more challenging evaluation for models.
CoNLL (Conference on Computational Natural Language Learning): CoNLL has historically hosted shared tasks, including tasks related to coreference resolution, dependency parsing, and other syntactic and semantic tasks.
SQuAD (Stanford Question Answering Dataset): SQuAD is a benchmark dataset for evaluating the performance of question answering systems. It consists of questions posed on a set of Wikipedia articles, where the model is tasked with providing answers based on the provided context.
RACE (Reading Comprehension from Examinations): RACE is a dataset designed to evaluate reading comprehension models. It consists of English exam-style reading comprehension passages and accompanying multiple-choice questions.
WMT (Workshop on Machine Translation): The WMT shared tasks focus on machine translation, providing benchmarks and evaluation metrics for assessing the quality of machine translation systems across different languages.
BLEU (Bilingual Evaluation Understudy): BLEU is a metric used to evaluate the quality of machine-translated text relative to human-translated reference texts. It compares n-gram overlap between the generated translation and the reference translations.
ROUGE (Recall-Oriented Understudy for Gisting Evaluation): ROUGE is a set of metrics used for evaluating automatic summarization and machine translation. It measures the overlap between generated summaries or translations and reference summaries or translations.
These benchmarks and standards play a crucial role in assessing the performance and progress of large language models, helping researchers and developers understand their strengths, weaknesses, and areas for improvement.
Yann Lecun & Lex Fridman: Limits of LLMs
New topic for us; time only to cover the basics. We have followed language, generally, however — every month — because best practice discovery and promulgation in conceiving, designing, building, occupying and maintaining the architectural character of education settlements depends upon a common vocabulary. The struggle to agree upon vocabulary presents an outsized challenge to the work we do.
Large language models hold significant potential for the building construction industry by streamlining various processes. They can analyze vast amounts of data to aid in architectural design, structural analysis, and project management. These models can generate detailed plans, suggest optimized construction techniques, and assist in cost estimation. Moreover, they facilitate better communication among stakeholders by providing natural language interfaces for discussing complex concepts. By harnessing the power of large language models, the construction industry can enhance efficiency, reduce errors, and ultimately deliver better-designed and more cost-effective buildings.
Join us today at the usual hour. Use the login credentials at the upper right of our home page.
Speech Day generally refers to an annual event held at schools in the United Kingdom, particularly private or independent schools, where students showcase their achievements and receive prizes or awards. The exact date of “Speech Day” varies by school and is typically determined by the school’s academic calendar. It is usually held towards the end of the academic year, either in the summer term or in the early autumn term, before students break for the summer holidays.
We are consolidating over 10+ years of coverage of sport standards by the season now. This is our first cut breaking the topic into four separate seasons. Join us today at the usual hour when we sort through stabilized literature and the codes and standards open for public consultation
Texas A&M University at Qatar, Qatar Foundation, Doha, Qatar
Professional and collegiate sport venues consume huge electrical energy. Therefore, a smart management of their electric energy is essential for significant energy saving. Accordingly, this paper proposes a novel embedded real-time, smart, and active energy management system to monitor and efficiently manage such huge and typically uncontrolled energy for minimizing energy consumption and cost per day while considering spectators preferences, comfort level in behavioral modification program, and health aspects. This will provide an opportunity for spectators to reduce energy consumption and improve energy efficiency while considering healthcare concept. In addition, the proposed energy management system is equipped with embedded tools to collect and monitor energy information for each stadium’s area. The data are processed and fed to the artificial neural network algorithm that is used for managing and controlling stadium loads. This strategy does not require any change in the conventional stadium electrical panel. The proposed online algorithm yields to improve the overall grid efficiency, reliability, and increase awareness of the importance of energy conservation. Real-Time implementation of the concept is demonstrated and analyzed.
A standard Olympic-sized swimming pool is defined by the following dimensions:
Length: 50 meters
Width: 25 meters
Depth: A minimum of 2 meters
Lanes: 10 lanes, each 2.5 meters wide
The total area of the pool is therefore 1,250 square meters, and it holds approximately 2,500 cubic meters (or 2.5 million liters) of water.
The organization that sets the standards for Olympic-sized pools is the Fédération Internationale de Natation (FINA) — now World Aquatics — the governing body for swimming, diving, water polo, synchronized swimming, and open water swimming. FINA establishes the regulations for the dimensions and equipment of competition pools used in international events, including the Olympic Games.
The top ten universities that have produced Olympic champion:
Today at 15:00 UTC we will review the latest in best practice literature for air conditioning systems. Note that we have broken out this topic from the standing Mechanical colloquia. Our approach features interoperability and system considerations. Catalogs on the agenda:
These Guidelines cover fossil-fueled power plants, gas-turbine power plants operating in combined cycle, and a balance-of-plant portion including interface with the steam supply system of nuclear power plants. They include performance monitoring concepts, a description of various methods available, and means for evaluating particular applications.
Since the original publication of these Guidelines in 1993—then limited to steam power plants—the field of performance monitoring (PM) has gained considerable importance. The lifetime of plant equipment has been improved, while economic demands have increased to extend it even further by careful monitoring. The PM techniques themselves have also been transformed, largely by the emergence of electronic data acquisition as the dominant method of obtaining the necessary information.
These Guidelines present:
• “Fundamental Considerations”—of PM essentials prior to the actual application, so you enter fully appraised of all the requirements, potential benefits and likelihood of tradeoffs of the PM program.
• “Program Implementation”—where the concepts of PM implementation, diagnostics and cycle interrelationships have been brought into closer conjunction, bringing you up-to-date with contemporary practice.
• “Case Studies / Diagnostic Examples”—from the large amount of experience and historical data that has been accumulated since 1993.
Intended for employees of power plants and engineers involved with all aspects of power production.
From ANSI’s PINS registry:
Project Need: This document is being developed in order to address performance monitoring and optimization techniques for different power generating facilities. The latest trends and initiatives in performance monitoring as well as practical case studies and examples will be incorporated.
Stakeholders: Designers, producers/manufacturers, owners, operators, consultants, users, general interest, laboratories, regulatory/government, and distributors.
This document will cover power generation facilities including steam generators, steam turbines, and steam turbine cycles (including balance of plant of nuclear facilities), gas turbines, and combined cycles. The guidelines include performance monitoring concepts, a description of various methods available, and means for evaluating particular applications.
No drafts open for public consultation at this time. The PINS announcement was placed on October 11th*. The PINS registry is a stakeholder mapping platform that identifies the beginning of a formal process that may interest other accredited, competitor standards developers. Many ASME consensus products may be indirectly referenced in design guidelines and construction contracts with the statement “Conform to all applicable codes”
The landing page for the ASME standards development enterprise is linked below:
Note that you will need to set up a (free) account to access this and other ASME best practice titles.
We maintain all ASME consensus products on the standing agenda of our periodic Mechanical and Energy teleconferences. See our CALENDAR for the next online meeting; open to everyone.
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
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