“The Attributes of the Arts and the Rewards Which Are Accorded Them” | Jean Baptiste Siméon Chardin (1766)
We follow a suite of standards developed by theFinancial Accounting Standards Board (FASB) — among them, documents that discover and recommend best financial management practice for not-for-profit organizations common in almost all of the US education industry. At the moment we do not advocate assertively in the FASB suite but we do follow the action as it pertains to the education industry and the activity of the many education industry trade associations whose advocacy activity we do follow.
Stakeholders in the US education industry are encouraged to communicate directly with the FASB on any issue: Accounting Standards Updates Issued
The FASB suite is a standing item on our colloquia covering education industry accounting practice generally and grant and construction project accounting specifically.
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IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems is effectively the global standard for interconnection of distributed resources with large scale electric power systems. It provides requirements relevant to the performance, operation, testing, safety, and maintenance of the interconnection. Apart from the power reliability and sustainability zietgeist we have seen in campus bulk power distribution systems, this title is usually referenced in research projects undertaken in university research enterprises. The standard is intended to be universally adoptable, technology-neutral, and cover distributed resources as large 10 MVA. To wit:
We collaborate with the IEEE Education & Healthcare Facilities Committee on this an related titles. This committee’s meetings are held 4 times monthly in European and American time zones. International Electrical Technical Commission titles are items on the standing agenda; a few representative titles are listed in addition to IEEE titles below:
IEEE 21451-001-2017 Recommended Practice for Signal Treatment Applied to Smart Transducers: This guide supports the ability to uniformly processing and classifying data from sensors and actuators in a smart system. The standard enables a common interpretation of data and grid interoperability. NIST personnel served on this standard’s working group, providing NIST research on sensors and actuators.
IEEE 2030.7-2017 Standard for the Specification of Microgrid Controllers: This standard established requirements for controllers, used to sense and manage microgrids. These requirements inform the manufacturing of controllers, and ultimately enable grid interoperability. NIST funding aided this standard’s development.
IEEE 2030.8 Standard for Testing Microgrid Controllers: This testing standard helps verify that microgrid controllers meet these requirements, and, thus, will work as intended. NIST funding aided this standard’s development.
Although specific temperature settings vary, gross anatomy labs are commonly kept at temperatures ranging from 55°F to 65°F (approximately 13°C to 18°C). This range balances the need for specimen preservation and the comfort and safety of individuals working in the lab. The 2022 Edition is widely incorporated by reference into public safety law; design, construction, maintenance operations best practice for laboratory health care occupancies.
Purpose: This standard specifies safe design, construction, installation and operation of refrigeration systems. It not apply to refrigeration systems using ammonia (R-717) as the refrigerant.
Scope: This standard establishes safeguards for life, limb, health, and property and prescribes safety requirements:
Design, construction, test, installation, operation, and inspection of mechanical and absorption refrigeration systems, including heat pump systems used in stationary applications;
Modifications including replacement of parts or components if they are not identical in function and capacity; and substitutions of refrigerant having a different designation.
This standard provides safety requirements for refrigeration systems, which are often used in cadaver storage facilities to maintain appropriate temperatures. It includes guidelines on system design, installation, operation, and maintenance to ensure safe and reliable performance. Student gross anatomy labs are typically kept at lower temperatures. Maintaining a cooler environment in these labs is important for several reasons:
Preservation of Specimens: Lower temperatures help preserve cadavers and anatomical specimens by slowing down the decomposition process. This is crucial for maintaining the quality and usability of the specimens over extended periods.
Control of Odors: Cooler temperatures can help minimize the release of odors from the preservation chemicals used, such as formaldehyde, which can be unpleasant and potentially harmful in higher concentrations.
Health and Safety: Maintaining a lower temperature can reduce the volatilization of formaldehyde and other chemicals, thereby lowering the concentration of potentially harmful vapors in the air. This contributes to a safer environment for students and faculty.
Comfort during Lab Sessions: Students and instructors often wear protective clothing, including lab coats and gloves, which can be uncomfortable in warmer environments. A cooler lab helps ensure comfort during extended periods of study and dissection.
While the specific temperature settings can vary, gross anatomy labs are commonly kept at temperatures ranging from 55°F to 65°F (approximately 13°C to 18°C). This range balances the need for specimen preservation and the comfort and safety of individuals working in the lab.
Craving the College Farm's wood-fired pizza and made-from-scratch soup? So are we! Now you can indulge in these mouthwatering treats without stepping foot off campus. https://t.co/7pxypmxb10pic.twitter.com/UYgxpDnms6
“The greatest danger in modern technology isn’t that machines will begin to think like people, ut that people will begin to think like machines.” — Michael Gazzaniga
The “next big thing” reveals itself in hindsight. Some areas of interest and potential advancements include:
Edge Computing: Edge computing brings computation closer to the data source, reducing latency and bandwidth usage. It enables processing and analysis of data at or near the edge of the network, which is especially important for applications like IoT, real-time analytics, and autonomous systems.
Quantum Computing: Quantum computing holds the promise of solving complex problems that are currently beyond the capabilities of classical computers. Cloud providers are exploring ways to offer quantum computing as a service, allowing users to harness the power of quantum processors.
Serverless Computing: Serverless computing abstracts away server management, enabling developers to focus solely on writing code. Cloud providers offer Function as a Service (FaaS), where users pay only for the actual execution time of their code, leading to more cost-effective and scalable solutions.
Multi-Cloud and Hybrid Cloud: Organizations are increasingly adopting multi-cloud and hybrid cloud strategies to avoid vendor lock-in, enhance resilience, and optimize performance by distributing workloads across different cloud providers and on-premises infrastructure.
Artificial Intelligence and Machine Learning: Cloud providers are integrating AI and ML capabilities into their platforms, making it easier for developers to build AI-driven applications and leverage pre-built models for various tasks.
Serverless AI: The combination of serverless computing and AI allows developers to build and deploy AI models without managing the underlying infrastructure, reducing complexity and operational overhead.
Extended Security and Privacy: As data privacy concerns grow, cloud providers are investing in improved security measures and privacy-enhancing technologies to protect sensitive data and ensure compliance with regulations.
Containerization and Kubernetes: Containers offer a lightweight, portable way to package and deploy applications. Kubernetes, as a container orchestration tool, simplifies the management of containerized applications, enabling scalable and resilient deployments.
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
