Units are necessary in physics to measure physical quantities and enable consistent comparisons. There are two types of units - fundamental units which measure fundamental quantities like length, mass, and time, and derived units which measure derived quantities like area, speed, and force. The International System of Units (SI) defines seven base units, including the meter, kilogram, and second. Units are also defined for other physical quantities using prefixes to indicate multiples or submultiples of the base units, enabling measurement of a wide range of quantities. Proper choice of units allows for convenient measurement depending on the magnitude of the physical quantity.
he SI comprises a coherent system of units of measurement starting with seven base units, which are the second (symbol s, the unit of time), metre (m, length), kilogram (kg, mass), ampere (A, electric current), kelvin (K, thermodynamic temperature), mole (mol, amount of substance), and candela (cd, luminous intensity) ...
Units and Dimensions notes for physics. Here is the complete notes for unit and dimensions. Mechanics, physics notes for students. All abou unit and dimension. units and measurements class 11. dimensions of physical quantities.
he SI comprises a coherent system of units of measurement starting with seven base units, which are the second (symbol s, the unit of time), metre (m, length), kilogram (kg, mass), ampere (A, electric current), kelvin (K, thermodynamic temperature), mole (mol, amount of substance), and candela (cd, luminous intensity) ...
Units and Dimensions notes for physics. Here is the complete notes for unit and dimensions. Mechanics, physics notes for students. All abou unit and dimension. units and measurements class 11. dimensions of physical quantities.
MAHARASHTRA STATE BOARD
CLASS XI
PHYSICS
CHAPTER 1
UNITS AND MEASUREMENT
Introduction
The international system of
units
Measurement of length
Measurement of mass
Measurement of time
Accuracy, precision of
instruments and errors in
measurement
Significant figures
Dimensions of physical
quantities
Dimensional formulae and
dimensional equations
Dimensional analysis and its
applications
This presentation covers measurement of physical quantities, system of units, dimensional analysis & error analysis. I hope this PPT will be helpful for instructors as well as students.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
MAHARASHTRA STATE BOARD
CLASS XI
PHYSICS
CHAPTER 1
UNITS AND MEASUREMENT
Introduction
The international system of
units
Measurement of length
Measurement of mass
Measurement of time
Accuracy, precision of
instruments and errors in
measurement
Significant figures
Dimensions of physical
quantities
Dimensional formulae and
dimensional equations
Dimensional analysis and its
applications
This presentation covers measurement of physical quantities, system of units, dimensional analysis & error analysis. I hope this PPT will be helpful for instructors as well as students.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
(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.
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
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.
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.
2. Why we need Units ?
To solve problems and to understand the basics of the physics it is very important to know what is
a physical quantity, types of physical quantities, what is a unit, what are the units of different
physical quantities, types of units, symbols of units.
There is one and only branch of science which measures a physical quantity, that branch of science is
“Physics”. Measurements have an important role not only in physics but also in every branch of science and
everywhere in our day-to-day life.
To measure physical quantities we need units. Let’s try to understand necessity of measurements and units
of measurement in Physics.
The information about a physical quantity, by description of its external properties like color,
taste etc is incomplete without knowing its temperature, size (dimensions), which depends
on measurement i.e. without measurements it is impossible to know about the
external properties of any object. So, it becomes necessary to measure it.
3. What is UNIT?
To measure a Physical quantity like Length, Area , Force , Energy etc . We need a "STANDARD OF
MEASUREMENT" of same physical quantity . This standard of measurement is called the UNIT of
the physical quantity.
Generally we can use any convenient unit to measure a physical quantity depending on how
much magnitude we are measuring or in which system of units we want to measure it.
Def: A standard reference of the same physical quantity is essential to measure any
physical quantity. That standard which we use to measure a physical quantity is called unit.
4. if we choose standards which are not consistent, and which cannot be
reproduced then errors and confusion in measurements will creep in.
To avoid such confusion, instead of taking any undefined reference as a
standard, well-defined and universal standards are used. Such a reference taken
a standard is generally called a well-defined unit (or) unit.
Measurement of every physical quantity will have two parts a number (n)
followed by a unit (u).
Therefore n × u = constant.
Standard Units
5. How do we explain ?
If the length of a table is 1.2 meters.
In this measurement number n= 1.2 and unit is u = meter.
→ length (L)= n1u1 = 1.2 meters
→ length (L)= n2u2 = 120 centimeters
→ length (L)= n3u3 = 1200 millimeters
From the above data we can understand that
we can measure a physical quantity in different units. Whatever may be the unit it’s value is same.
→ L = n1u1 = n2u2 =n3u3
If the unit chosen is smaller, the multiple number will be greater.
If the unit chosen is smaller, the multiple number will be greater.
6. Relation between Unit and Numerical number
→u1>u2>u3 n1<n2<n3
The units(u) of a physical quantity will be reciprocal to the multiple (n)
nu= constant = n1u1 = n2u2 =n3u3
u α 1/n or n α 1/u
n1/n2 = u2/u1
7. Which Unit is convenient ?
we can use any convenient unit to measure a physical quantity depending on
How much magnitude we are measuring
In which system of units we want to measure it.
What kind of unit we should use?
The unit should be
Accepted internationally.
Reproduceable
Invariable
Easily available
Consistent
Large, if the physical quantity to be measured is a big .
Ex : To measure larger lengths we use units like Km, mt etc, to measure large
magnitude of time we use units like hour , day ,week, month , year etc.
Small, if the physical quantity to be measured is small.
Ex: To measure small time we use units like millisecond, microsecond etc.
To measure small lengths we use units like millimeter, centimeter etc.
8. We can broadly divide the physical quantities in to two types
i)Fundamental Physical quantities ii)Derived physical quantities.
Fundamental physical quantities: A physical quantity which can exist
independently is called Fundamental physical quantity.
Ex: Length, mass and time etc.
Derived physical quantities: A physical quantity which can not exist independently is called
derived physical quantity. (Or) A physical quantity which is dependent or derived from any
other physical quantity is called derived physical quantity.
Ex : Area, volume, density, speed, acceleration, force, energy etc.
Types of Physical Quantities
9. Types of Units
Like the physical quantities we can divide the units in to two types.
I)Fundamental units ii)derived units.
Fundamental units : The units of fundamental physical quantities are called fundamental
units, (or) The units which are independent or cannot derived from any other unit is called
fundamental unit.
Ex: Every unit of length is fundamental unit (irrespective of the system to which it
belongs);millimeter, centimeter, meter, kilometer etc.
Every unit of time is a fundamental unit ; microsecond, millisecond, second, minute, hour,
day etc.
Derived units: The units of derived physical quantities are called derived units. Units of
area, volume, speed, density, energy etc. are derived units.
Ex: Every unit of speed is a derived unit ; m/sec, cm/sec, km/hr etc.
Every unit of density is a derived unit; kg/m³, gr/cm³ etc.
Every unit of acceleration is a derived unit; m/sec², cm/sec², km/hr² etc.
10. Systems of Units
To measure the fundamental physical quantities Length, Mass and time we have three
systems of units, they are
i) C.G.S System (Metric system)
ii)F.P.S System (British system) and
iii)M.K.S System.
In all these three systems only three physical quantities length, mass and time are
considered to be fundamental quantities.
11. Systems, Fundamental quantities and their Units
System Length Mass Time
C.G.S System Centimeter Gram Second
F.P.S System Foot Pound Second
M.K.S System Meter Kilo-gram Second
12. Multiples of Units
But, in systems International (S.I) system there are seven fundamental physical quantities.
Which are i)Length ii)Mass iii)Time iv)Electric current v) Thermo-dynamic temperature
vi)Luminous intensity vii)Quantity of substance.
In addition to these two more quantities were added as supplementary physical quantities.
They are i)Plane angle ii)Solid angle.
13. S.I System of Units
S.I System
Fundamental Quantity Unit
Length meter
Mass kilogram
Time second
Electric current ampere
Thermo-dynamic temperature kelvin
Luminous intensity candela
Quantity of substance mole
supplementary quantity Unit
Plane angle radian
Solid angle Steradian
14. Multiples of Units
Depending upon the magnitudes of physical quantities we measure, we have to use different
multiplication factors suitable for that particular case. Here let us see some widely used
multiplication factors.
Multiplication Factor Prefix symbol
101 deca da
102 hecta h
103 kilo k
106 mega M
109 giga G
1012 tera T
1015 peta P
15. Sub-Multiples of Units
Multiplication Factor Prefix symbol
10-1 deci d
10-2 centi c
10-3 milli m
10-6 micro µ
10-9 nano n
10-12 pico p
10-15 femto f
16. Special Units of Length
Micron (µ) = 10-6 cm = 10-4 mm
Angstrom (A) = 10-10 m = 10-8 cm
Fermi = 10-15m = 10-13 cm
Astronomical Unit (A.U) = 1.5 × 1011 m = 1.5 × 1013 cm
X ray unit (X.U) = 10-13 m ( To measure wane length of X-Rays
Light year = Distance traveled by light in one year= 9.5×1015m =9.5×1012km
parsec = 3.26 light years =3.1×1016 m
1 agate(typography) = 0.07 inch = 1.8 cm
1 cable’s length = 720 feet = 219.46 meters
1 chain (engineer’s) = 100 feet = 30.48 meters
1 chain (Gunter’s or surveyor’s) = 66 feet = 20.12 meters
1 cubit = 18 inches = 45.72 centimeter
1 degree (geographical) = 69.05 miles = 111.12 kilometers
17. Ø 1 decameter = 10 meters = 32.81 feet
Ø 1 fathom = 6 feet = 1.83 meters
Ø 1 hand = 4 inches = 10.16 centimeters
Ø 1 league = 3 miles = 4.83 kilometers
Ø 1 link (engineer’s) = 1 foot = 0.31 meter
Ø 1 link (gunter’s or surveyor’s ) = 7.92 inches = 10.16 centimeters
Ø 1 perch or pole = 16.5 feet = 5 meters
Ø 1 point (typography ) = 0.1 inch = 0.35 millimeter
Special Units of Length
18. Special Units of Time
Solar day def: The time taken by earth to complete one rotation about its own axis with
respect to sun is called solar day. (Average value for all the days of one year is Mean
solar day).
Sidereal day : It is 4.1min shorter than Mean solar day .
sidereal year :365.26 Mean solar day d ) Solar year = 365.24 Mean solar day
Lear year = The year in which February month has 29 days is called leap year. It is
divisible by 4.
Lunar month :Time taken by moon to complete one rotation around earth is lunar
month = 27.3 days.
19. Special Units of Mass
Atomic mass Unit ( a.m.u) : = 1/12 of mass of
C12 atom = 1.67×10-24gr = 1.67×10-27kg.
1 assay ton = 29.167 grams = 1.03 ounces
1 carat = 200 milligrams = 3.09 grains
1 decigram = 100 milligrams = 1.54 grains
1 decagram = 10 grams = 0.35 ounce
1 pound = 0.45 kilograms
20. Special Units of Pressure
Atmosphere =760 mmHg = 76×13.6×980 dyne/ cm2= 1.013×106 dyne/cm2
= 1.013× 105 N/m2 or Pascal
Bar = 750 mmHg = 75×13.6×980 dyne/ cm2 = 0.99×106 dyne/cm2 = 0.99×
105 N/m2 or Pascal
Torr =1 mm Hg = 0.1×13.6×980 dyne/ cm2 = 1333 dyne/cm2 = 133 N/m2 or
Pascal
21. Special Units of Area
Barn: this is unit of area, it is used to measure cross section of nuclei.
Barn = 10-28 m2
1 acre = 4047 sq meters = 4840 sq yards = 43560 sq ft
1 are = 100 square meters = 1076.39 sq feet
1 square(building) = 100 sq feet = 9.29 sq meters
1 sq link = 62.73 sq inches = 404.69 sq cm
1 township = 36 sq miles = 93.24 sq kms
22. Special Units of Speed
light wind = 7 miles/hr
light breeze = 11 miles/hr
gentle breeze = 16 miles/hr
moderate breeze = 20 miles/hr
fresh breeze = 25 miles/hr
strong breeze = 30 miles/hr
moderate gale = 35 miles/hr
fresh gale =45 miles/hr
strong gale = 50 miles/hr
whole gale = 60 miles/hr
storm = 70 miles/hr
hurricane = 80 miles/hr