A crystallographic group is a group acting on R^n that contains a translation subgroup Z^n as a finite index subgroup. Here we consider which Coxeter groups are crystallographic groups. We also expose the enumeration in dimension 2 and 3. Then we shortly give the principle under which the enumeration of N dimensional crystallographic groups is done.
A crystallographic group is a group acting on R^n that contains a translation subgroup Z^n as a finite index subgroup. Here we consider which Coxeter groups are crystallographic groups. We also expose the enumeration in dimension 2 and 3. Then we shortly give the principle under which the enumeration of N dimensional crystallographic groups is done.
A través del diseño de una pelota de fútbol (o de cualquier deporte) es posible adentrarse en la geometría y la topología, dos de las más importantes ramas de la matemática del siglo XXI.
Los tres errores del modelo geométrico de Gastón Soublette para la bandera de...Andrius Navas
Se describen y explican las tres diferencias entre los modelos geométricos de la bandera de la Independencia de Soublette ("La estrella de Chile") y el autor ("Un viaje a las ideas").
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
2. “Les mathématiques ne sont qu'une histoire de
groupes” (Henri Poincaré)
Cayley: A group is a set endowed with
a multiplication together with certain rules.
Cayley: “Every group acts”.
Cayley graph:
vertives: group elements
edges: between elements
differing by a generator
3. “Les mathématiques ne sont qu'une histoire de
groupes” (Henri Poincaré)
Cayley: A group is a set endowed with
a multiplication together with certain rules.
Cayley: “Every group acts”.
Cayley graph:
vertives: group elements
edges: between elements
differing by a generator
4. If a group acts nicely on a nice space, then this should reveal
something about its algebraic structure.
Example (exercise): If a group acts freely by circle homeomorphisms,
then it is Abelian (Hölder).
Warning: Every countable group arises as a subgroup of the group of
homeomorphisms of the Cantor set:
5. Burnside: If a finitely generated group is such that
every element has finite order, is the group finite ?
• B (n) = < a, b : wn = id >
• B (2), B (3), B (4) and B (6) are finite
• B (7) should be infinite (Gromov)
• B (5) should be infinite (Zelmanov)
• B (n) is inifinite for odd n > 666
Question: Is every Burnside group of
homeomorphisms of the sphere finite?
(Hurtado, Kocsard, Rodríguez-Hertz;
Guelman, Liousse; Conejeros).
6. Understanding group-theoretical properties of
diffeomorphisms gives relevant dynamical
information ont the map
• Nancy Kopell:
Commuting Diffeomorphisms
(1968).
Smale,
Mather,
Palis-Yoccoz,
Bonatti-Crovisier-Wilkinson.
7. Kopell's lemma
• Theorem (N, 2008): There is no group of intermediate growth of
C1+e diffeomorphisms of neither the circle nor the interval (and
this is false in class C1).
• Theorem (Kim-Koberda; Mann-Wolf): for every r > s there exists a
finitely generated group of Cs diffeomorphisms of the interval that
does not embed into the group of Cr diffeomorphisms.
8. Distorted diffeomorphisms
• An element f of a finitely generated group is distorted if the world-length of fn
grows sublinearly on n.
• An element f of a general group G is distorted if it is distorted inside a finitely
generated subgroup of G.
Example: g f g-1 = f2 implies gn f g-n = 𝒇 𝟐 𝒏
( f : x → x+1 ; g : x → 2x )
Example: If a diffeomorphism has an hyperbolic fixed points
(positive Lyapunov exponents, positive topological entropy),
then it is undistorted inside the group of C1 diffeomorphisms.
9. A final question on distortion
• Given r > s and a compact manifold M, does there exist a Cr
diffeomorphism of M that is undistorted in G = Diffr(M) but distorted
in G = Diffs(M) ?
• Theorem (N; Dinamarca, Escayola): YES for M the closed interval, r =
2 and s =1 (s = 1 + e).
• We even don't know what happens for the case of the circle (Avila,
Mather, N)...
10. An idea for the proof
(a Lyapunov exponent for higher derivatives?)
• Consider the variation of the logarithm of the derivative:
Consider the asymptotic variation: V ( f ) := lim
𝒗𝒂𝒓 ( 𝒍𝒐 𝒈 𝑫𝒇 𝒏 )
𝒏
If then f is undistorted in the group of C2
diffeomorphisms (work with Hélène Eynard-Bontemps).