This document provides a basic refresher on Green's functions as applied to scalar field theories. It outlines the Lagrangian for a basic Higgs boson theory and considers perturbative solutions. The Green's function is expressed as a Fourier integral, and contour integration is used to derive forms for both massless and massive scalar fields. For a massless scalar, the Green's function is shown to be proportional to the difference of two delta functions representing forward and backward traveling waves.
Methods to determine pressure drop in an evaporator or a condenserTony Yen
Β
This articles aims to explain how one can relatively easily calculate the pressure drop within a condenser or an evaporator, where two-phase flow occurs and the Navier-Stokes equation becomes very tedious.
Methods to determine pressure drop in an evaporator or a condenserTony Yen
Β
This articles aims to explain how one can relatively easily calculate the pressure drop within a condenser or an evaporator, where two-phase flow occurs and the Navier-Stokes equation becomes very tedious.
IOSR Journal of Mathematics(IOSR-JM) is an open access international journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A Class of Polynomials Associated with Differential Operator and with a Gener...iosrjce
Β
The object of this paper is to present several classes of linear and bilateral generating relations by
employing operational techniques, which reduces as a special case of (known or new) bilateral generating
relations.At last some of generating functions associated with stirling number of second kind are also discussed.
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...mathsjournal
Β
In the earlier work, Knuth present an algorithm to decrease the coefficient growth in the Euclidean algorithm of polynomials called subresultant algorithm. However, the output polynomials may have a small factor which can be removed. Then later, Brown of Bell Telephone Laboratories showed the subresultant in another way by adding a variant called π and gave a way to compute the variant. Nevertheless, the way failed to determine every π correctly.
In this paper, we will give a probabilistic algorithm to determine the variant π correctly in most cases by adding a few steps instead of computing π‘(π₯) when given π(π₯) andπ(π₯) β β€[π₯], where π‘(π₯) satisfies that π (π₯)π(π₯) + π‘(π₯)π(π₯) = π(π₯), here π‘(π₯), π (π₯) β β€[π₯]
Fixed Point Results for Weakly Compatible Mappings in Convex G-Metric Spaceinventionjournals
Β
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A Non Local Boundary Value Problem with Integral Boundary ConditionIJMERJOURNAL
Β
ABSTRACT: In this article a three point boundary value problem associated with a second order differential equation with integral type boundary conditions is proposed. Then its solution is developed with the help of the Greenβs function associated with the homogeneous equation. Using this idea and Iteration method is proposed to solve the corresponding linear problem.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Β
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 systemβs 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.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Β
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other Β chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much ofΒ that energy is released. Β
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 -Β a chemical called pyruvate. A small amount of ATP is formed during this process.Β
Most healthy cells continue the breakdownΒ inΒ a second process, called the Kreb's cycle. The Kreb's cycleΒ allows cells to βburnβ the pyruvates made in glycolysisΒ to get more ATP.
The last step in the breakdown of glucose is calledΒ oxidativeΒ phosphorylationΒ (Ox-Phos).
ItΒ takes place in specialized cell structuresΒ calledΒ mitochondria. This process produces a large amount of ATP. Β Importantly,Β 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 -Β Kreb's -Β oxidative phosphorylation), about 36Β molecules of ATP are created, giving itΒ much moreΒ 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,Β cancer cells need to use a lot more sugar molecules to get enoughΒ energy to survive.Β
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,Β cancer cells need to use a lot more sugar molecules to get enoughΒ energy to survive.Β
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 β 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 : Β 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.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Β
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.Β
Β Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Richard's entangled aventures in wonderlandRichard Gill
Β
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.
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Ioβs surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Ioβs trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Ioβs surface using adaptive
optics at visible wavelengths.
Richard's aventures in two entangled wonderlandsRichard Gill
Β
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.
2. (3)
ππ π π
π0 + π π
2
π0 = 2πβ²2
ππ
(+)
π(β)
π
π0 +
πβ²2
πππ 2 πΌ
ππ π π
π0 β π½ π
Aside from the conventional source term that contains the source π½ π we have the additional
source terms that contain the self-interacting scalar field π0 along with the massive gauge fields.
In the presence of sources, we may consider a generic Greenβs function solution in the following
form
(4)
ππ =
1
(2π)2
β« π4
π₯β²
πΊ( π₯ β π₯β²) π½(π₯β²
)
(Here, note my placement of the integration variable π₯β²
in the Greenβs function and I am used to
this notation although we may resort to the symmetry of Greenβs function in the integration to
interchange its place with the picking variable x but in doing so we must be specific of the
chosen causality.)
In my particular convention I write the fourier integral form of the Greenβs function as
(5)
πΊ( π₯ β π₯β²) = β
1
(2π)2
β« π4
π
π ππ π(π₯βπ₯β²
) π
βπ π π π + π2 + ππ
where the fourier component is
(6)
πΊΜ( π) =
β 1
βπ π π π + π2 + ππ
In this, I have already included the term ππ to shift the poles whenever we perform the contour
integration. The metric signature used in this document is negative two so for instance, we can
write π2
= π π π π
= (π0
)2
β πβ β πβ .
3. To continue, let us tackle on (5) as applied in the scalar solution (4), deriving the form of the
Greenβs function suited for the case in which the scalar is massless and resort to stationary phase
approximation to obtain for the form for the case wherein the scalar is massive.
The fourier integral form (5) assumes continuous four-momenta as the integration variables so
we may write the differential 1+3 volume as
(7.1)
π4
π = ππ0
π3
πβ
and considering the spherical momentum space we may actually write this as
(7.2)
π4
π = ππ0
ππ π π π
2
ππsin π ππ
0 < π < π , 0 < π < 2π
So in the metric signature of negative two, we can separate out the integrations indicated in (5)
and re-writing this into the following form
(8.1)
πΊ( π₯ β π₯β²) =
1
(2π)2
β« π3
πβ πβππβ β βπ₯
β« ππ0
π ππ0
βπ₯0
(π0)2 β πβ²2
(8.2)
πβ²2
= π2
+ ππ = πβ β πβ + π2
+ ππ
(8.3)
βπ₯0
= π₯0
β π₯β² 0
(8.4)
βπ₯ = π₯ β π₯β²
4. (8.5)
πβ β βπ₯ = π π |βπ₯| cos π
|πβ | = π π
We perform contour integration for the integral
β« ππ0
π ππ0
βπ₯0
(π0)2 β πβ²2
contained in (8.1) and let us simply quote the results here as taken in the limit π β 0. We shall
show the details of such contour integration in future attachments.
So quoting the results of the said contour integration we have
(9)
πΊ( π₯ β π₯β²) = β
1
(2π)2
β« π4
π
π π π π( π₯βπ₯β²)
π
βπ π π π + π2
= πππ πβ0 β
1
(2π)2
β« π4
π
π ππ π( π₯βπ₯β²)
π
βπ π π π + π2 + ππ
=
1
2
π
2π
β« π3
πβ
1
π0
π ππ0 ( π₯0
β π₯β² 0)
πβππβ β( π₯β π₯β² )
Ξ( π₯0
β π₯β² 0)
β
1
2
π
2π
β« π3
πβ
1
π0
π ππ0
(π₯β²0
β π₯0
)
πβππβ β( π₯β π₯β²
)
Ξ(π₯β²0
β π₯0
)
Note here that we have set ( π0
)2
= π2
(πβ ) = πβ β πβ + π2
as evaluated in the limit as π β 0,
where to first order in π , πβ²
β β πβ β πβ + π2 +
ππ
2β πβ β πβ + π2
, while inserting the Theta functions
Ξ in (9) by hand to distinguish the given causality of each major term there.
Say for the moment, we have a massless scalar so that π0
= |πβ | = π π and specify the causality
π₯0
> π₯β²0
, given for | π₯| > |π₯β²βββ | . By this, we can reduce (9) into
(10)
πΊ( π₯ β π₯β²) =
π
2
β« ππ π π ππ π(π₯0
β π₯β²0
)
β« ππ π π sin π πβπ π π| π₯β π₯β²| cos π
5. 0 < π < π
Then we note the integral result
(11)
β« ππ π π sin π πβπ π π| π₯β π₯β²| cos π
π
0
=
1
π| π₯ β π₯β²|
( π π π π| π₯β π₯β²|
β πβπ π π| π₯β π₯β²|
)
so we may able to write (9) as
(12)
πΊ( π₯ β π₯β²) =
1
2| π₯ β π₯β²|
(β« ππ π π
ππ π(( π₯0
β π₯β²0
) + | π₯β π₯β²| )
β β« ππ π π
ππ π(( π₯0
β π₯β²0
) β | π₯β π₯β²| )
)
If we are to integrate over the integration variable π π from ββ to β, then the remaining integrals
in (12) are just the integral definitions of delta functions. Thus, for a massless scalar field, we
have as its Greenβs function the following form
(13)
πΊ( π₯ β π₯β²) =
2π
2| π₯ β π₯β²|
(πΏ ((π₯0
β π₯β²0
) + | π₯ β π₯β²|)β πΏ ((π₯0
β π₯β²0
) β | π₯ β π₯β²|) )
where the first major part refers to the backward traveling wave, while the second to the forward
traveling wave as specified with causality π₯0
> π₯β²0
, given for | π₯| > |π₯β²βββ |.
For example, we choose the wave to be a forward traveling wave so we may plug the appropriate
form of (13) in (4)
(14)
ππ( π₯) =
1
(2π)2
β« π3
π₯β²
β« π π₯β²0
πΊ( π₯ β π₯β²) π½(π₯β²
)
π½( π₯β² ) = π½(π₯β²
, π₯β²0
)
Say from (13) we have
6. (15)
πΊ( π₯ β π₯β²) = β
2π
2| π₯ β π₯β²|
πΏ ((π₯0
β π₯β²0
) β | π₯ β π₯β²|)
in (14) and the picking is at π₯β²0
= π₯0
β | π₯ β π₯β²| . Then (14) would just involve a time-retarded
source
(16)
ππ( π₯) = β
1
2
2π
(2π)2
β« π3
π₯β²
1
| π₯ β π₯β²|
π½( π₯β²
,(π₯0
β | π₯ β π₯β²|) )
In other attachments, we will continue on massive scalar.
[stopped: pp. 1H, Prep Notes: Scalar Field Theories - β¦ ]
Refβs
[1]Roa, F. J. P., Field Theory Highlights 2015 Set A (slideshare)
[2]W. Hollik, Quantum field theory and the Standard Model, arXiv:1012.3883v1 [hep-ph]
[3]Baal, P., A COURSE IN FIELD THEORY,
http://www.lorentz.leidenuniv.nl/~vanbaal/FTcourse.html
[4]βt Hooft, G., THE CONCEPTUAL BASIS OF QUANTUM FIELD THEORY,
http://www.phys.uu.nl/~thooft/
[5]Siegel, W., FIELDS, arXiv:hep-th/9912205 v2
[6]Cardy, J., Introduction to Quantum Field Theory
[7]Gaberdiel, M., Gehrmann-De Ridder, A., Quantum Field Theory