Wiener Hopf Method is a technique to solve some complex equations with the help of Fourier Transformation. For further, complex solution search in search engines
This presentation educates you about R - Vectors, Steps to Establish a Regression, lm() Function and predict() Function.
For more topics stay tuned with Learnbay
Wiener Hopf Method is a technique to solve some complex equations with the help of Fourier Transformation. For further, complex solution search in search engines
This presentation educates you about R - Vectors, Steps to Establish a Regression, lm() Function and predict() Function.
For more topics stay tuned with Learnbay
Correlation is utilized to test connections between quantitative factors or absolute factors. As such, it's a proportion of how things are connected. The investigation of how factors are associated is called correlation.
This presentation educates you about Linear Regression, SPSS Linear regression, Linear regression method, Why linear regression is important?, Assumptions of effective linear regression and Linear-regression assumptions.
For more topics stay tuned with Learnbay.
Cancer is identified as a lifestyle disease. “You are what you eat” has never been truer when it comes to food and cancer. Cancers are usually linked to what you eat and drink, where you live, and breathe and smoke. The combined impact of all the toxins in our systems results in diseases such as cancer.
Correlation is utilized to test connections between quantitative factors or absolute factors. As such, it's a proportion of how things are connected. The investigation of how factors are associated is called correlation.
This presentation educates you about Linear Regression, SPSS Linear regression, Linear regression method, Why linear regression is important?, Assumptions of effective linear regression and Linear-regression assumptions.
For more topics stay tuned with Learnbay.
Cancer is identified as a lifestyle disease. “You are what you eat” has never been truer when it comes to food and cancer. Cancers are usually linked to what you eat and drink, where you live, and breathe and smoke. The combined impact of all the toxins in our systems results in diseases such as cancer.
NanoScale TiO2 based Memory Storage Circuit Element:- MemristorAM Publications
four fundamental circuit variable in which relation between charge and flux linkage first introduce by
Prof. Leon Chua in his Research Proposal at IEEE Transaction on circuit theory based on the symmetric
background. However, using this relation he predicted fourth fundamental element which is known as Memristor.
The first NanoScale TiO2 based physical model of Memristor is proposed by Hewlett-Packard Laboratories. Therefore
new research field emerged out “Analog and Digital circuit designing using Memristor”. Still many faults in physical
model of Memristor which has proposed by HP Laboratories. So many challenging researches going on for making
perfect physical model of Memristor. In this paper we review properties of Memristor, the physics behind fourth
fundamental circuit element as well as we discussed first physical model of Memristor introduced by HP. Some
potential application also discussed here and last we proposed major challenges for Memristor development and
which future work can be carried out using Memristor.
Panic attack is a commonly used phrase by every dramatic teenager. While we use this word very often, most of us don’t understand the seriousness of this word and everything that comes with it. It is basically the sudden urge of anxiety or overwhelming stress /fear. You start to hyperventilate, have trouble breathing and your heart starts pounding simultaneously.
storage manchester not only offers storage spaces to individuals and business owners, but also provide them an opportunity to feel relaxed as their goods are fully safe and secure.
The inscrutable imaginary number, so useful and yet so intriguing. Explain why this is so and how important it is to quantum mechanics, resulting in the ultimate quantum.
Regression analysis is a mathematical measure of the average relationship between two or more variables in terms of the original units of the data.
In regression analysis there are two types of variables. The variable whose value is influenced or is to be predicted is called dependent variable and the variable which influences the values or is used for prediction, is called independent variable.
In regression analysis independent variable is also known as regressor or predictor or explanatory variable while the dependent variable is also known as regressed or explained variable.
The Poynting theorem represents the time rate change of electromagnetic energy within a certain volume plus the time rate of energy flowing out through the boundary surface is equal to the power transferred into the electromagnetic field.
This statement follows the conservation of energy in electromagnetism and is known as the Poynting theorem.
A series of satellite projects to secure more and better images of the Cosmic Microwave Background (CMB) since 1980. Age of universe estimated to be 13.73 billion years.
CA 10.01 Discovery of CMB (Cosmic Microwave Background)Stephen Kwong
Discovery of Cosmic Microwave Background by Arno Penzias and Robert Wilson in the 1960s. Found to be the relic radiation from the beginning of the Universe. One of the greatest discovery in science history so far.
Relativity, Visonics, Classical physics on acceleration. Different results in different views. Relativity results in lengthy and complicated equations, almost unworkable. But in visonics, apparent acceleration = actual acceleration.
CA 5.11 Velocity Transform in Relativity & VisonicsStephen Kwong
The kinematic entity of velocity is transformed in the Theory of Relativity by the Lorentz transformation of frames; in visionics, by delayed images. Simpler results in visonics.
Cosmic Adventure 5.8 Time Dilation of Clocks in Motion in VisonicsStephen Kwong
Time dilation phenomenon for clocks on the move in visonics. The result is the same as clocks at rest since the speed of light is not affected by the motion of the source.
The concept of length contraction in traditional theory of Special Relativity. Although seemingly verified by many experiment, its reality still remains controversial and pending amendment.
Cosmic adventure 5.4 Moving Objects in VisonicsStephen Kwong
The visonic version of objects in motion. The approach is different from relativity and the results are also different. But they are all realistic and classical.
Cosmic Adventure 5.3 Frames in Motion in RelativityStephen Kwong
The Einstein way of transforming time and location by the Lorentz factor, marking the departure from Newtonian physics. But why is it so is not explained.
Cosmic Adventure 5.2 Visonic Transform Without MotionStephen Kwong
The case when v=0 not covered by Relativity. Delay timing happens normally in static cases. The static case leads to the universe in spatial and temporal layers.It is just the world we live in.
Cosmic Adventure 5.1 Relative Motion in Special RelativityStephen Kwong
The classical equations of relative motion are translated by the theory of Special Relativity into relativistic equations. The origin of the Lorentz factor recapitulated.
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.
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.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s 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 Io’s 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 Io’s surface using adaptive
optics at visible wavelengths.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.