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Guide for Evaluating the Legitimacy of IQ Tests

Title: Guide for Evaluating the Legitimacy of IQ Tests  Document Number: UIIS-GD-000001 Revision Number: D00  Author: Daniel Pohl Date: December 21, 2024 Purpose: For public comment. © UIIS - Universal Institute for Intelligence Standards: https://www.facebook.com/ share/g/1GjNvbwMws/?mibextid= wwXIfr Purpose: This guide outlines the essential factors to be considered when designing, administering, and evaluating IQ tests for legitimacy. The standard emphasizes test security, minimizing measurement error, ensuring reliability, ensuring component validity, comprehensive test design, promoting fairness, and standardization. A weighted equation is introduced to quantitatively evaluate the legitimacy of an IQ test. 1. Test Security Test security is the most critical factor to ensure that the integrity of the IQ test results is not compromised by external influences, including unauthorized use of tools, including AI, that may unfairly prepare or process cognitive response...

Proof of Goldbach’s Conjecture

Introduction Goldbach’s Conjecture is one of the most enduring and challenging problems in mathematics, first proposed by Christian Goldbach in a letter to Leonhard Euler in 1742. The conjecture states that every even integer greater than 2 can be expressed as the sum of two prime numbers. Formally, the conjecture can be written as: Conjecture: For every even integer n > 2, there exist prime numbers p and q such that n = p + q. n > 2: n is an integer greater than 2. p, q: Prime numbers. n = p + q: The even integer n is the sum of the two primes p and q. Despite the simplicity and elegance of its statement, Goldbach’s Conjecture has defied proof for nearly three centuries. It lies at the intersection of number theory and analytic techniques, making it one of the central and most challenging problems in the study of primes. While the conjecture has been verified for extraordinarily large values...

The crisis in the academic world

Author: Claus D. Volko I successfully studied at Viennese universities and obtained degrees in medicine, medical informatics and computational intelligence until 2013. I then worked in the private sector as a software developer, but at the same time was part of the research group of Privatdozent Dr. Dr. Uwe Rohr in my spare time. After my fatherly friend and mentor passed away, I developed an idea for a new research program that could solve the urgent problem of antibiotic resistance. I tried to publish it in 2018, but it was rejected by all the scientific journals I sent it to. Once it was peer reviewed, the reviewers gave it a negative assessment because it was just an idea and didn't contain any experimental results. It would have been important for this idea to be disseminated, because antibiotic resistance really is a major problem that kills thousands of people every year. I then published my paper on the Internet, where it still lives a shadowy existence today. Only a few co...

Longevity Medicine – State of the Art 2024

In 2005, the former artificial intelligence researcher who became a biologist, Aubrey de Grey, proposed a detailed plan called “strategies for engineered negligible senescence” (SENS), aimed at preventing age-related physical and cognitive decline. Two years later, he published the book “Ending Aging: The Rejuvenation Breakthroughs that Could Reverse Human Aging in Our Lifetime”, in which he wrote in detail about seven issues and measures how to repair them (table taken from Wikipedia): Issue Proposed countermeasures Extracellular aggregates Immunotherapeutic clearance Accumulation of senescent cells Senescence marker-targeted toxins, immunotherapy Extracellular matrix stiffening AGE-breaking molecules, tissue engineering Intracellular aggregates Novel lysosomal hydrolases Mitochondrial mutati...

Has the Age of Artificial Intelligence in Science begun?

When the Nobel Prizes were announced this year (2024), many people were initially shocked at seeing that the decision had been made to give the Nobel Prize in Physics to two researchers in Artificial Intelligence (AI), one of whom did not even have a physics degree. But the Nobel Prize in Chemistry that was announced a day later showed why that decision had been made: after all, AI methods had been employed by the winners of that prize to conduct their research about the structure of proteins. So it was in some way justified to give two of the researchers who had laid the foundations for modern AI recognition. The big question is: Will we see more Nobel Laureates who worked with AI? Will it even perhaps soon be ordinary that Nobel Prize winning scientists have made their discoveries using AI? Is it even possible that every Nobel Prize will be given to people employing AI and maybe the Nobel Prize will be given to the AI systems themselves instead of human beings? Is it the dawn of a ne...

Computational Concepts in Biology

Computational Concepts in Biology I At the University of Vienna, an interesting new Master's programme was introduced only a couple of years ago (in 2013). This Master's programme is called "Computational Science" and it is highly interdisciplinary. To be admitted for this Master's programme, you need to have a Bachelor's degree in Computer Science, Mathematics, Biology, Physics, Chemistry, Astronomy, Geology or a related field. The Master's programme has a minimum duration of two years and afterwards, you can enroll for a PhD programme. "Computational Science" is all about research in natural sciences that is done using computers and most of all self-written computer programs. It it thus an ideal study programme for people who are both into computers as well as natural sciences. Depending on what type of Bachelor's degree students have, they either have to attend basic lectures in mathematics, basic lectures in computer science or advanced l...