As of my last knowledge update in October 2021, there isn't widely available information on a person named Peter Kyberd that stands out in notable public records or contexts. He may not be a public figure or could be relevant in niche areas not covered extensively in mainstream sources.

Qian Xuesen, also known as Tsien Hsue-shen, was a prominent Chinese scientist and engineer, primarily known for his contributions to the fields of aeronautics and astronautics. Born on December 11, 1911, in Hangzhou, China, he studied at Shanghai Jiao Tong University before moving to the United States, where he earned a Ph.D. from the California Institute of Technology (Caltech).

Rafail Krichevskii is not a widely recognized figure in popular databases or notable events. It's possible that he is a person from a specific field not covered widely in mainstream sources, or he may have emerged as a notable figure after my last training cut-off in October 2023.

Ranulph Glanville (1943–2014) was a British cybernetician, designer, and researcher known for his work in the fields of design, systems thinking, and complexity. He made significant contributions to the understanding of cybernetics and its applications in various domains, including architecture, organizational development, and education. Glanville emphasized the importance of context and the subjective nature of knowledge, advocating for a more holistic approach to design and systems.

Ryszard S. Michalski is a prominent computer scientist known for his contributions to the fields of artificial intelligence, machine learning, and knowledge representation. He is notably recognized for his work in inductive learning, which involves creating models that learn from examples or data. Michalski has been involved in the development of several learning systems and has contributed to theoretical aspects of artificial intelligence.

Parney Albright is a notable figure in the field of education, particularly recognized for his contributions to innovation and community engagement within school systems. He is known for his work in transforming traditional educational practices and prioritizing student-centered approaches. Albright has served in various leadership roles, advocating for the integration of technology in classrooms and fostering collaboration among educators, students, and parents.

Sabina Jeschke is a notable figure in the field of computer science and engineering, particularly recognized for her work in the areas of artificial intelligence, robotics, and transportation systems. She has held various academic and administrative positions, including leadership roles at universities and organizations focused on technological innovation. One of her significant contributions has been in the promotion of interdisciplinary research and education, often emphasizing the integration of technology with societal needs.

Baryonic dark matter refers to a type of dark matter that is composed of baryons, which are particles such as protons and neutrons that make up ordinary matter. In the context of astrophysics and cosmology, "dark matter" refers to a form of matter that does not emit or interact with electromagnetic radiation (light) in a way that we can currently detect, making it "dark.

Tim Cannon is an American entrepreneur and biohacker known for his work in the field of wearable technology and implantable devices. He gained attention for developing body modifications that integrate technology with human biology, including subdermal implants designed to enhance sensory perception or track health metrics. Cannon co-founded **Grindhouse Wetware**, a company focused on creating innovative biohacking solutions, including the popular "Circadia" implant, which monitors physiological data.

Uwe Windhorst is a notable figure in the field of astronomy and astrophysics, particularly recognized for his work in observational cosmology and the study of distant galaxies. His research often involves the use of advanced telescopes and observational techniques to gather data on the early universe, galaxy formation, and the distribution of dark matter. Windhorst has contributed significantly to our understanding of the universe's evolution and has published numerous scientific papers in this field.

Werner E. Reichardt (1923-2022) was a prominent German neuroscientist known for his significant contributions to the field of neurobiology and the study of visual perception and motion detection. He is particularly noted for his research on the neural mechanisms involved in how animals, including humans, perceive motion and visual stimuli. His work has had a lasting impact on both basic and applied neuroscience, influencing areas such as robotics, artificial intelligence, and the understanding of sensory processing.

Jesper Lützen is a mathematician known for his work in the field of mathematical logic, particularly in category theory and topology. He has contributed to the understanding of various mathematical concepts and frameworks.

Indirect detection of dark matter refers to methods used to infer the presence of dark matter by observing its potential interactions with ordinary matter or other particles. Unlike direct detection, which seeks to measure the interactions of dark matter particles with regular matter (such as through elastic scattering), indirect detection looks for evidence of the products resulting from dark matter annihilation or decay.

A Massive Compact Halo Object (MACHO) is a hypothetical type of astronomical object that is proposed to exist in the halo of galaxies, particularly the Milky Way. MACHOs are believed to be composed of ordinary matter, mainly in the form of objects such as brown dwarfs, white dwarfs, neutron stars, or even black holes. They are "compact" because they have a relatively small size compared to their mass, leading to a high density.

Particle chauvinism is a term used in the context of physics, particularly in discussions surrounding the interpretations and implications of quantum mechanics and particle physics. It refers to the viewpoint or bias that emphasizes the primacy of particles (like electrons, photons, quarks, etc.) in understanding the fundamental nature of reality, often to the exclusion of other potential explanations or frameworks, such as fields or waves.

Minnesota functionals refer to a specific type of statistical tool or model used primarily in economic contexts, particularly in the analysis of consumption and production behaviors. They are often associated with the work of economists from the University of Minnesota, especially in relation to economic growth and business cycles. One well-known application of Minnesota functionals is in the estimation of economic relationships using econometric models, where they are employed in conjunction with Bayesian methods.

E. W. Hobson refers to Edward William Hobson, a prominent British mathematician known for his contributions to various fields within mathematics, particularly in the areas of analysis and mathematical physics. He is often associated with the study of series, potential theory, and the theory of functions. Hobson's work includes important texts and research papers that have influenced both theoretical mathematics and its applications. If you're referring to a different context for "E.W. Hobson," please provide more details for clarification!

Density Functional Theory (DFT) software refers to computational tools and programs used to perform quantum mechanical calculations based on DFT principles. DFT is a widely used method in physics, chemistry, and materials science for studying the electronic structure of many-body systems, particularly atoms, molecules, and the condensed phases of matter.