This document summarizes famous scientists and their inventions, including:
- Evangelista Torricelli who invented the barometer in 1643.
- Ferdinand Verbiest who invented the world's first automobile, powered by steam.
- Charles Babbage who originated the concept of a programmable computer and is considered the "Father of Computers".
- Marie Curie who was the first woman to win a Nobel Prize, winning in two fields for her pioneering research that led to the invention of radium.
Unit 1, Lesson 1.1 - Introduction to Sciencejudan1970
Unit 1, Lesson 1.1 - Introduction to Science
Lesson Outline:
1. What is Science?
2. Science as a Body of Knowledge
3. Science as a Product and a Process
4. Limits of Science
Unit 1, Lesson 1.1 - Introduction to Sciencejudan1970
Unit 1, Lesson 1.1 - Introduction to Science
Lesson Outline:
1. What is Science?
2. Science as a Body of Knowledge
3. Science as a Product and a Process
4. Limits of Science
An insight into the life of John Dalton, the English Chemist who provided the foundation for the atomic theory, thus leading to the the study of chemistry as a separate subject.
- Eisa Adil
The Rare Earth hypothesis argues that the emergence of complex life on Earth required an improbable combination of astrophysical and geophysical events and circumstances.
Presented by Dr. Dennis Wilson
A presentation on one of the greatest mind to ever exist . It aims to make the people know about what contribution Mr. Tesla has given to this modern world.
An insight into the life of John Dalton, the English Chemist who provided the foundation for the atomic theory, thus leading to the the study of chemistry as a separate subject.
- Eisa Adil
The Rare Earth hypothesis argues that the emergence of complex life on Earth required an improbable combination of astrophysical and geophysical events and circumstances.
Presented by Dr. Dennis Wilson
A presentation on one of the greatest mind to ever exist . It aims to make the people know about what contribution Mr. Tesla has given to this modern world.
You wil learn about famous British scientists (Isaac Newton, Michael Faraday, Charles Babbage, Charles Darwin, Alexander Fleming, Alan Turing, Stephen Hawking, Timothy Barners-Lee)
The Ingenious Irish: how Irish inventors and scientists helped to shape the modern world.
Talk given at the EC's Joint Research Centre in Geel, Belgium, by Mary Mulvihill, Ingenious Ireland, at an event marking Ireland's EU presidency, in January 2013
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
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(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
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.
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.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
2. Famous scientists and their
inventions
• Some famous scientists and their most
remarkable inventions and discoveries.
• Invention is something you create by
experimentation, where as discovery is finding
out that already exists.
3. Evangelista Torricelli
(1608-1647)
• The famous Italian physicist and mathematician is the
inventor of
• the barometer (scientific tool used in the field of
meteorology to
• estimate atmospheric pressure), built in 1643. It would
be
• interesting to note that a number of Italian Navy
submarines
• were named after the inventor.
4. Ferdinand Verbiest (1623
- 1688)
• Verbiest was an astronomer and a mathematician. He
was the one to invent the world's first automobile. The
inventor came up with the idea to create an automobile
while visiting China as a missionary. His automobile was
powered by steam, but couldnot carry humans.
5. Charles Babbage (1791-1871)
• Charles Babbage was an English mathematician,
philosopher, inventor
and mechanical engineer who originated the
concept of a programmable
computer. Considered as “Father of Computers”,
Babbage is credited
with inventing the first mechanical computer that
eventually led to
more complex designs.
6. Wilhelm Conrad Röntgen
(1845 - 1923)
• The famous German physicist
Röntgen is the one who discovered
the X-rays (also known as Röntgen
rays).
• This invention allowed the German
scientist to win the first
• Nobel Prize in Physics in 1901.
7. Thomas Edison (1847 - 1931)
• He has made a large number of
inventions, but the most
wellknown one is the electric bulb.
Among other discoveries of
Thomas Edison there are telegraph
devices, phonograph, carbon
transmitter, direct current
generator, universal electric motor,
and more.
8. Alexander Graham
Bell (1857 - 1922)
• During the experiments he carried out
with the telegraph,
• Bell came up with the idea of the
telephone.
• The inventor of one of the most popular
devices today thought that the telephone
was intruding, that is why he didnot have
one in his workplace.
9. Marie Skłodowska-Curie (1867-1934)
• Marie Skłodowska-Curie was a polish physicist and
chemist working mainly in France, who is famous for
her pioneering research on radioactivity.
• She was the inventor of radium. She was the first
woman to win a Nobel Prize, the only woman to win
in two fields and the only person to win in multiple
sciences.
• She was also the first female professor at university
of paris and in 1995 became the first woman to be
entombed on her own merits in Paris.
10. The Wright Brothers, Orville(1871-1948), Wilbur(1867-
1912)
• The Wright brothers were two American brothers,
inventors and aviation pioneers who were credited for
inventing and building the world’s first successful
airplane and making the first controlled, powered and
sustained, heavier than air human flight on December
17, 1903.
• In the two years afterward, the brothers developed
their flying machine into the first practical fixed wing
aircraft.
