In this paper we study on contribution of fixed point theorem in Metric spaces and Quasi Metric spaces.
Key words: Metric space, Contraction Mapping, Fixed point Theorem, Quasi Metric Space, p-Convergent, p-orbit ally continuous.
Unique fixed point theorems for generalized weakly contractive condition in o...Alexander Decker
This document summarizes a research paper that proves some new fixed point theorems for generalized weakly contractive mappings in ordered partial metric spaces. The paper extends previous theorems proved by Nashine and Altun in 2017. It presents definitions of partial metric spaces and properties. It proves a new fixed point theorem (Theorem 2.1) for nondecreasing mappings on ordered partial metric spaces that satisfy a generalized contractive condition. The theorem shows the mapping has a fixed point and the partial metric of the fixed point to itself is 0. It uses properties of partial metrics, contractive conditions and continuity to prove the sequence generated by iterating the mapping is Cauchy and converges.
Common Fixed Point Theorems For Occasionally Weakely Compatible Mappingsiosrjce
Som [11 ] establishes a common fixed point theorem for R-weakly Commuting mappings in a Fuzzy
metric space.The object of this Paper is to prove some fixed point theorems for occasionally Weakly compatible
mappings by improving the condition of Som[11 ].
This document discusses deep generative models including variational autoencoders (VAEs) and generational adversarial networks (GANs). It explains that generative models learn the distribution of input data and can generate new samples from that distribution. VAEs use variational inference to learn a latent space and generate new data by varying the latent variables. The document outlines the key concepts of VAEs including the evidence lower bound objective used for training and how it maximizes the likelihood of the data.
The existence of common fixed point theorems of generalized contractive mappi...Alexander Decker
The document presents a common fixed point theorem for a sequence of self maps satisfying a generalized contractive condition in a non-normal cone metric space. It begins with introducing concepts such as cone metric spaces, normal and non-normal cones, and generalized contraction mappings. It then proves the main theorem: if a sequence of self maps {Tn} on a complete cone metric space X satisfies a generalized contractive condition with constants α, β, γ, δ, η, μ ∈ [0,1] such that their sum is less than 1, and x0 ∈ X with xn = Tnxn-1, then the sequence {xn} converges to a unique common fixed point v of the maps
Interpolation techniques - Background and implementationQuasar Chunawala
This document discusses interpolation techniques, specifically Lagrange interpolation. It begins by introducing the problem of interpolation - given values of an unknown function f(x) at discrete points, finding a simple function that approximates f(x).
It then discusses using Taylor series polynomials for interpolation when the function value and its derivatives are known at a point. The error in interpolation approximations is also examined.
The main part discusses Lagrange interpolation - given data points (xi, f(xi)), there exists a unique interpolating polynomial Pn(x) of degree N that passes through all the points. This is proved using the non-zero Vandermonde determinant. Lagrange's interpolating polynomial is then introduced as a solution.
(α ψ)- Construction with q- function for coupled fixed pointAlexander Decker
This document presents a theorem to prove the existence of coupled fixed points for contractive mappings in partially ordered quasi-metric spaces. It begins with definitions of key concepts such as mixed monotone mappings, coupled fixed points, quasi-metric spaces, and Q-functions. It then states and proves a coupled fixed point theorem for mappings that satisfy an (α-Ψ)-contractive condition in a partially ordered, complete quasi-metric space with a Q-function. The theorem shows that if such a mapping F has the mixed monotone property and satisfies the contractive inequality, then F has at least one coupled fixed point.
This document discusses recent advances in Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It introduces Markov chain and sequential Monte Carlo techniques such as the Hastings-Metropolis algorithm, Gibbs sampling, data augmentation, and space alternating data augmentation. These techniques are applied to problems such as parameter estimation for finite mixtures of Gaussians.
The document discusses exponential decay of solutions to a second-order linear differential equation involving a self-adjoint positive operator A and an accretive damping operator D. Several theorems establish conditions under which the associated operator semigroup or pencil generates exponential decay. If D is accretive and satisfies certain positivity conditions, the semigroup will decay exponentially. Explicit bounds on the rate of decay and estimates of the spectrum are provided depending on properties of A and D.
Vitaly Vanchurin "General relativity from non-equilibrium thermodynamics of q...SEENET-MTP
1) The document proposes that general relativity can emerge from quantum mechanics in the limit of many degrees of freedom, similar to how thermodynamics emerges from classical mechanics with many particles.
2) It suggests defining statistical ensembles over wave functions using an "infoton field" to obtain a spatially covariant description of quantum information, represented by an information tensor.
3) A dual theory description of computational complexity is developed using the infoton field, arriving at a Klein-Gordon theory with an inverse metric related to computational parameters like the number of qubits. This provides a space-time covariant description of quantum computation.
This document describes a stochastic block-coordinate fixed point algorithm. The algorithm updates blocks of variables sequentially in each iteration, where the block to update is chosen randomly. This allows processing high-dimensional problems with less memory than updating all blocks at once. The algorithm is proven to converge almost surely to a fixed point under certain assumptions, such as the operators being quasinonexpansive. Linear convergence can be achieved in the absence of errors, though stochastic errors slow convergence to a non-linear rate. The influence of deterministic versus random block selection is also discussed.
The document discusses probability distributions and their natural parameters. It provides examples of several common distributions including the Bernoulli, multinomial, Gaussian, and gamma distributions. For each distribution, it derives the natural parameter representation and shows how to write the distribution in the form p(x|η) = h(x)g(η)exp{η^T μ(x)}. Maximum likelihood estimation for these distributions is also briefly discussed.
A Note on “ Geraghty contraction type mappings”IOSRJM
This document summarizes a paper that proves a fixed point result for φα-Geraghty contraction type mappings. The paper generalizes previous results by replacing the continuity condition of φ with a weaker condition. Specifically:
1) The paper defines φα-Geraghty contraction type mappings and proves a fixed point theorem for such mappings under certain conditions.
2) This generalizes previous results that assumed continuity of φ by replacing it with a weaker limit condition.
3) The main theorem proves that a φα-Geraghty contraction type mapping has a fixed point if it is triangular α-orbital admissible, has an α-admissible starting point, and satisfies the weaker limit
This document proposes a linear programming (LP) based approach for solving maximum a posteriori (MAP) estimation problems on factor graphs that contain multiple-degree non-indicator functions. It presents an existing LP method for problems with single-degree functions, then introduces a transformation to handle multiple-degree functions by introducing auxiliary variables. This allows applying the existing LP method. As an example, it applies this to maximum likelihood decoding for the Gaussian multiple access channel. Simulation results demonstrate the LP approach decodes correctly with polynomial complexity.
The document discusses Lagrange interpolation, which involves constructing a polynomial that passes through a set of known data points. Specifically, it describes:
- The interpolation problem of predicting an unknown value (fI) at a point (xI) given known values (fi) at nodes (xi)
- How Lagrange interpolation polynomials are defined using basis polynomials (Ln,k) such that each basis polynomial is 1 at its node and 0 at other nodes
- An example of constructing a 3rd degree Lagrange interpolation polynomial to interpolate an unknown value f(3) using 4 known data points
This document introduces predicates and quantifiers in predicate logic. It defines predicates as functions that take objects and return propositions. Predicates allow reasoning about whole classes of entities. Quantifiers like "for all" (universal quantifier ∀) and "there exists" (existential quantifier ∃) are used to make general statements about predicates over a universe of discourse. Examples demonstrate how predicates and quantifiers can express properties and relationships for objects. Laws of quantifier equivalence are also presented.
This document describes the Space Alternating Data Augmentation (SADA) algorithm, an efficient Markov chain Monte Carlo method for sampling from posterior distributions. SADA extends the Data Augmentation algorithm by introducing multiple sets of missing data, with each set corresponding to a subset of model parameters. These are sampled in a "space alternating" manner to improve convergence. The document applies SADA to finite mixtures of Gaussians, introducing different types of missing data to update parameter subsets. Simulation results show SADA provides better mixing and convergence than standard Data Augmentation.
CVPR2010: higher order models in computer vision: Part 1, 2zukun
This document discusses tractable higher order models in computer vision using random field models. It introduces Markov random fields (MRFs) and factor graphs as graphical models for computer vision problems. Higher order models that include factors over cliques of more than two variables can model problems more accurately but are generally intractable. The document discusses various inference techniques for higher order models such as relaxation, message passing, and decomposition methods. It provides examples of how higher order and global models can be used in problems like segmentation, stereo matching, reconstruction, and denoising.
Efficient Analysis of high-dimensional data in tensor formatsAlexander Litvinenko
We solve a PDE with uncertain coefficients. The solution is approximated in the Karhunen Loeve/PCE basis. How to compute maximum ? frequency? probability density function? with almost linear complexity? We offer various methods.
This paper proves a Caccioppoli-Kannan type fixed point theorem in generalized metric spaces (g.m.s.) that includes previous theorems by Kannan, Saha, and Mihet. It shows that if a mapping T on a T-orbitally complete g.m.s. satisfies d(T^n x, T^n y) ≤ a_n[d(x,Tx) + d(y,Ty)] where a_n converges and a_1 < 1, then T has a unique fixed point. This generalizes Caccioppoli's theorem to g.m.s. and recovers Kannan's fixed point theorem in g.
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
The document discusses the Fundamental Theorem of Calculus, which has two parts. The first part states that if a function f is continuous on an interval, then the derivative of the integral of f is equal to f. This is proven using Riemann sums. The second part relates the integral of a function f to the integral of its derivative F'. Examples are provided to illustrate how the area under a curve relates to these concepts.
Fixed points of contractive and Geraghty contraction mappings under the influ...IJERA Editor
In this paper, we prove the existence of fixed points of contractive and Geraghty contraction maps in complete metric spaces under the influence of altering distances. Our results extend and generalize some of the known results.
International Journal of Mathematics and Statistics Invention (IJMSI) inventionjournals
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.
This document discusses recent advances in Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It introduces Markov chain and sequential Monte Carlo techniques such as the Hastings-Metropolis algorithm, Gibbs sampling, data augmentation, and space alternating data augmentation. These techniques are applied to problems such as parameter estimation for finite mixtures of Gaussians.
The document discusses exponential decay of solutions to a second-order linear differential equation involving a self-adjoint positive operator A and an accretive damping operator D. Several theorems establish conditions under which the associated operator semigroup or pencil generates exponential decay. If D is accretive and satisfies certain positivity conditions, the semigroup will decay exponentially. Explicit bounds on the rate of decay and estimates of the spectrum are provided depending on properties of A and D.
Vitaly Vanchurin "General relativity from non-equilibrium thermodynamics of q...SEENET-MTP
1) The document proposes that general relativity can emerge from quantum mechanics in the limit of many degrees of freedom, similar to how thermodynamics emerges from classical mechanics with many particles.
2) It suggests defining statistical ensembles over wave functions using an "infoton field" to obtain a spatially covariant description of quantum information, represented by an information tensor.
3) A dual theory description of computational complexity is developed using the infoton field, arriving at a Klein-Gordon theory with an inverse metric related to computational parameters like the number of qubits. This provides a space-time covariant description of quantum computation.
This document describes a stochastic block-coordinate fixed point algorithm. The algorithm updates blocks of variables sequentially in each iteration, where the block to update is chosen randomly. This allows processing high-dimensional problems with less memory than updating all blocks at once. The algorithm is proven to converge almost surely to a fixed point under certain assumptions, such as the operators being quasinonexpansive. Linear convergence can be achieved in the absence of errors, though stochastic errors slow convergence to a non-linear rate. The influence of deterministic versus random block selection is also discussed.
The document discusses probability distributions and their natural parameters. It provides examples of several common distributions including the Bernoulli, multinomial, Gaussian, and gamma distributions. For each distribution, it derives the natural parameter representation and shows how to write the distribution in the form p(x|η) = h(x)g(η)exp{η^T μ(x)}. Maximum likelihood estimation for these distributions is also briefly discussed.
A Note on “ Geraghty contraction type mappings”IOSRJM
This document summarizes a paper that proves a fixed point result for φα-Geraghty contraction type mappings. The paper generalizes previous results by replacing the continuity condition of φ with a weaker condition. Specifically:
1) The paper defines φα-Geraghty contraction type mappings and proves a fixed point theorem for such mappings under certain conditions.
2) This generalizes previous results that assumed continuity of φ by replacing it with a weaker limit condition.
3) The main theorem proves that a φα-Geraghty contraction type mapping has a fixed point if it is triangular α-orbital admissible, has an α-admissible starting point, and satisfies the weaker limit
This document proposes a linear programming (LP) based approach for solving maximum a posteriori (MAP) estimation problems on factor graphs that contain multiple-degree non-indicator functions. It presents an existing LP method for problems with single-degree functions, then introduces a transformation to handle multiple-degree functions by introducing auxiliary variables. This allows applying the existing LP method. As an example, it applies this to maximum likelihood decoding for the Gaussian multiple access channel. Simulation results demonstrate the LP approach decodes correctly with polynomial complexity.
The document discusses Lagrange interpolation, which involves constructing a polynomial that passes through a set of known data points. Specifically, it describes:
- The interpolation problem of predicting an unknown value (fI) at a point (xI) given known values (fi) at nodes (xi)
- How Lagrange interpolation polynomials are defined using basis polynomials (Ln,k) such that each basis polynomial is 1 at its node and 0 at other nodes
- An example of constructing a 3rd degree Lagrange interpolation polynomial to interpolate an unknown value f(3) using 4 known data points
This document introduces predicates and quantifiers in predicate logic. It defines predicates as functions that take objects and return propositions. Predicates allow reasoning about whole classes of entities. Quantifiers like "for all" (universal quantifier ∀) and "there exists" (existential quantifier ∃) are used to make general statements about predicates over a universe of discourse. Examples demonstrate how predicates and quantifiers can express properties and relationships for objects. Laws of quantifier equivalence are also presented.
This document describes the Space Alternating Data Augmentation (SADA) algorithm, an efficient Markov chain Monte Carlo method for sampling from posterior distributions. SADA extends the Data Augmentation algorithm by introducing multiple sets of missing data, with each set corresponding to a subset of model parameters. These are sampled in a "space alternating" manner to improve convergence. The document applies SADA to finite mixtures of Gaussians, introducing different types of missing data to update parameter subsets. Simulation results show SADA provides better mixing and convergence than standard Data Augmentation.
CVPR2010: higher order models in computer vision: Part 1, 2zukun
This document discusses tractable higher order models in computer vision using random field models. It introduces Markov random fields (MRFs) and factor graphs as graphical models for computer vision problems. Higher order models that include factors over cliques of more than two variables can model problems more accurately but are generally intractable. The document discusses various inference techniques for higher order models such as relaxation, message passing, and decomposition methods. It provides examples of how higher order and global models can be used in problems like segmentation, stereo matching, reconstruction, and denoising.
Efficient Analysis of high-dimensional data in tensor formatsAlexander Litvinenko
We solve a PDE with uncertain coefficients. The solution is approximated in the Karhunen Loeve/PCE basis. How to compute maximum ? frequency? probability density function? with almost linear complexity? We offer various methods.
This paper proves a Caccioppoli-Kannan type fixed point theorem in generalized metric spaces (g.m.s.) that includes previous theorems by Kannan, Saha, and Mihet. It shows that if a mapping T on a T-orbitally complete g.m.s. satisfies d(T^n x, T^n y) ≤ a_n[d(x,Tx) + d(y,Ty)] where a_n converges and a_1 < 1, then T has a unique fixed point. This generalizes Caccioppoli's theorem to g.m.s. and recovers Kannan's fixed point theorem in g.
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
The document discusses the Fundamental Theorem of Calculus, which has two parts. The first part states that if a function f is continuous on an interval, then the derivative of the integral of f is equal to f. This is proven using Riemann sums. The second part relates the integral of a function f to the integral of its derivative F'. Examples are provided to illustrate how the area under a curve relates to these concepts.
Fixed points of contractive and Geraghty contraction mappings under the influ...IJERA Editor
In this paper, we prove the existence of fixed points of contractive and Geraghty contraction maps in complete metric spaces under the influence of altering distances. Our results extend and generalize some of the known results.
International Journal of Mathematics and Statistics Invention (IJMSI) inventionjournals
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.
On fixed point theorems in fuzzy 2 metric spaces and fuzzy 3-metric spacesAlexander Decker
1) The document discusses fixed point theorems for mappings in fuzzy 2-metric and fuzzy 3-metric spaces.
2) It defines concepts like fuzzy metric spaces, Cauchy sequences, compatible mappings, and proves some fixed point theorems for compatible mappings.
3) The theorems show that under certain contractive conditions on the mappings, there exists a unique common fixed point for the mappings in a complete fuzzy 2-metric or fuzzy 3-metric space.
This document discusses using the Newton-Raphson iterative method to solve chemical equilibrium problems. It begins by introducing fixed point theory and the Newton-Raphson method for solving nonlinear equations. It then describes applying this method to determine the O reactant ratio that produces an adiabatic equilibrium temperature in the chemical reaction of partial methane oxidation. Specifically, it develops a system of seven nonlinear equations and uses the Newton-Raphson method to iteratively solve for the fixed point and desired chemical equilibrium conditions.
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.
New Contraction Mappings in Dislocated Quasi - Metric SpacesIJERA Editor
In this paper the concept of new contraction mappings has been used in proving fixed point theorems. We
establish some common fixed point theorems in complete dislocated quasi metric spaces using new contraction
mappings.
Fixed Point Theorm In Probabilistic Analysisiosrjce
Probabilistic operator theory is the branch of probabilistic analysis which is concerned with the study of
operator-valued random variables and their properties. The development of a theory of random operators is of
interest in its own right as a probabilistic generalization of (deterministic) operator theory and just as operator
theory is of fundamental importance in the study of operator equations, the development of probabilistic operator
theory is required for the study of various classes of random equations
a) Use Newton’s Polynomials for Evenly Spaced data to derive the O(h.pdfpetercoiffeur18
a) Use Newton’s Polynomials for Evenly Spaced data to derive the O(h4) accurate Second
Centered Difference approximation of the 1st derivative at nx. Start with a polynomial fit to
points at n-2x , n-1x, nx , n+1x and n+2x .
b) Use Newton’s Polynomials for Evenly Spaced data to derive the O(h4) accurate Second
Centered Difference approximation of the 2nd derivative at nx . Remember, to keep the same
O(h4) accuracy, while taking one more derivative than in Part a, we need to add a point to the
polynomial we used in part a.t,s01530456075y,km0356488107120
Solution
An interpolation assignment generally entails a given set of information points: in which the
values yi can,
xi x0 x1 ... xn
f(xi) y0 y1 ... yn
for instance, be the result of a few bodily measurement or they can come from a long
numerical calculation. hence we know the fee of the underlying characteristic f(x) at the set
of points xi, and we want to discover an analytic expression for f .
In interpolation, the assignment is to estimate f(x) for arbitrary x that lies among the smallest
and the most important xi
. If x is out of doors the variety of the xi’s, then the task is called extrapolation,
which is substantially greater unsafe.
with the aid of far the maximum not unusual useful paperwork utilized in interpolation are the
polynomials.
different picks encompass, as an instance, trigonometric functions and spline features
(mentioned
later during this direction).
Examples of different sorts of interpolation responsibilities include:
1. Having the set of n + 1 information factors xi
, yi, we want to understand the fee of y in the
complete c program languageperiod x = [x0, xn]; i.e. we need to find a simple formulation
which reproduces
the given points exactly.
2. If the set of statistics factors contain errors (e.g. if they are measured values), then we
ask for a components that represents the records, and if feasible, filters out the errors.
3. A feature f may be given within the shape of a pc system which is high priced
to assess. In this case, we want to find a characteristic g which offers a very good
approximation of f and is simpler to assess.
2 Polynomial interpolation
2.1 Interpolating polynomial
Given a fixed of n + 1 records points xi
, yi, we need to discover a polynomial curve that passes
via all the factors. as a consequence, we search for a non-stop curve which takes at the values yi
for every of the n+1 wonderful xi’s.
A polynomial p for which p(xi) = yi whilst zero i n is stated to interpolate the given set of
records points. The factors xi are known as nodes.
The trivial case is n = zero. right here a steady function p(x) = y0 solves the hassle.
The only case is n = 1. In this situation, the polynomial p is a directly line described via
p(x) =
xx1
x0 x1
y0 +
xx0
x1 x0
y1
= y0 +
y1 y0
x1 x0
(xx0)
here p is used for linear interpolation.
As we will see, the interpolating polynomial may be written in an expansion of paperwork,
among
these are the Newton shape and the Lag.
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings
under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy
metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
Mathematics subject classifications: 45H10, 54H25
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy metric spaces.
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...mathsjournal
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings under the
conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
Mathematics subject classifications: 45H10, 54H25
Approximation Methods Of Solutions For Equilibrium Problem In Hilbert SpacesLisa Garcia
This summary provides the key details from the document in 3 sentences:
The document presents approximation methods for finding solutions to an equilibrium problem in Hilbert spaces. It introduces an iterative scheme that uses viscosity approximation methods to find a common element between the solution set of an equilibrium problem and the fixed point set of a nonexpansive mapping. The main result proves that under certain conditions, the sequences generated by the iterative scheme converge strongly to a point that is the fixed point of a composition of two operators.
This document discusses compactness estimates for nonlinear partial differential equations (PDEs), specifically Hamilton-Jacobi equations. It provides background on Kolmogorov entropy measures of compactness and covers recent results estimating the Kolmogorov entropy of solutions to scalar conservation laws and Hamilton-Jacobi equations, showing it is on the order of 1/ε. The document outlines applications of these estimates and open questions regarding extending the estimates to non-convex fluxes and non-uniformly convex Hamiltonians.
Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Propertyinventionjournals
The object of this paper is to establish a common fixed point theorem for semi-compatible pair of self maps by using CLRg Property in fuzzy metric space.
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)IJERA Editor
This paper presents some common fixed point theorems for weakly compatible mappings via an implicit relation in Fuzzy Menger spaces satisfying the common property (E.A)
Macrolide and Miscellaneous Antibiotics.pptHRUTUJA WAGH
Introduction to Macrolide Antibiotics
Effective against Gram-positive cocci & bacilli, and some Gram-negative cocci.
Commonly used for respiratory, skin, tissue, and genitourinary infections.
🧬 History
Erythromycin: First discovered in 1952.
Developed as a penicillin alternative.
Followed by azithromycin, clarithromycin (chemically improved versions).
⚗️ Chemistry
Macrolides share:
A macrocyclic lactone ring (12–17 atoms).
A ketone group.
Amino sugars and neutral sugars linked to the ring.
A dimethylamino group (contributes to basicity and salt formation).
🔬 Mechanism of Action
Binds to 50S ribosomal subunit (specifically 23S rRNA).
Inhibits peptidyl transferase activity.
Prevents protein synthesis by blocking translocation of amino acids.
🛡️ Resistance Mechanisms
Alteration of binding site (erm gene-mediated methylation of 23S rRNA).
Enzymatic inactivation (esterases, phosphotransferases).
Efflux pumps actively remove drug from bacterial cell.
💊 Therapeutic Uses
Babesiosis
Bacterial Endocarditis
Bartonellosis
Bronchitis, Pneumonia
Rheumatic fever prophylaxis
Sinusitis, Skin infections
Dental abscess
⚠️ Side Effects
Minor: Nausea, vomiting, diarrhea, tinnitus
Major: Allergic reactions, cholestatic hepatitis
Drug Interaction: Avoid with colchicine → risk of toxicity
🔹 Erythromycin
Bacteriostatic, used in penicillin-allergic patients
Produced by Saccharopolyspora erythraea
Forms: oral, IV, topical
Risk of infantile hypertrophic pyloric stenosis (IHPS) in newborns
🔹 Clarithromycin
Semisynthetic (developed from erythromycin)
Greater acid stability, fewer GI effects
Inhibits CYP3A4 and P-glycoprotein
🔹 Azithromycin
Broader spectrum, long half-life, better tissue penetration
Effective against Gram-negative, atypical organisms (e.g., Chlamydia, Mycoplasma)
Safe during pregnancy
Studied in COVID-19 therapy (March 2020, France)
🧪 Chloramphenicol
Broad-spectrum bacteriostatic antibiotic
Treats: meningitis, cholera, typhoid, conjunctivitis
MOA: Binds to 50S ribosome, inhibits peptidyl transferase
Side effects:
Bone marrow depression
Gray baby syndrome
Superinfections
Probable carcinogen (WHO classification)
📚 Macrolide Classification
Ring Size Examples
12-Membered Methymycin
14-Membered Erythromycin, Clarithromycin, Roxithromycin
15-Membered Azithromycin
16-Membered Spiramycin, Josamycin
17-Membered Lankacidin complex
Micro-grooved zein macro-whiskers for large-scale proliferation and different...mdokmeci
In this exploratory research grant funded by the GFI Research Program, we worked on the project “Micro-grooved zein macro-whisker for large-scale proliferation and differentiation of lamb myoblasts.” The slides are summary of this project.
cdna synthesis and construction of gene libraries.pptxjatinjadon777
I am a student of botany in jamia hamdard bsc 3rd year . I recently prepared a ppt on cDNA synthesis and construction of genomic library.
I hope this will help you and will be informative.
This presentation provides a comprehensive overview of Chemical Warfare Agents (CWAs), focusing on their classification, chemical properties, and historical use. It covers the major categories of CWAs nerve agents, blister agents, choking agents, and blood agents highlighting notorious examples such as sarin, mustard gas, and phosgene. The presentation explains how these agents differ in their physical and chemical nature, modes of exposure, and the devastating effects they can have on human health and the environment. It also revisits significant historical events where these agents were deployed, offering context to their role in shaping warfare strategies across the 20th and 21st centuries.
What sets this presentation apart is its ability to blend scientific clarity with historical depth in a visually engaging format. Viewers will discover how each class of chemical agent presents unique dangers from skin-blistering vesicants to suffocating pulmonary toxins and how their development often paralleled advances in chemistry itself. With concise, well-structured slides and real-world examples, the content appeals to both scientific and general audiences, fostering awareness of the critical need for ethical responsibility in chemical research. Whether you're a student, educator, or simply curious about the darker applications of chemistry, this presentation promises an eye-opening exploration of one of the most feared categories of modern weaponry.
About the Author & Designer
Noor Zulfiqar is a professional scientific writer, researcher, and certified presentation designer with expertise in natural sciences, and other interdisciplinary fields. She is known for creating high-quality academic content and visually engaging presentations tailored for researchers, students, and professionals worldwide. With an excellent academic record, she has authored multiple research publications in reputed international journals and is a member of the American Chemical Society (ACS). Noor is also a certified peer reviewer, recognized for her insightful evaluations of scientific manuscripts across diverse disciplines. Her work reflects a commitment to academic excellence, innovation, and clarity whether through research articles or visually impactful presentations.
For collaborations or custom-designed presentations, contact:
Email: professionalwriter94@outlook.com
Facebook Page: facebook.com/ResearchWriter94
Website: professional-content-writings.jimdosite.com
This is an exit exam questions prepared for Forestry Departments from Forestry Department - Wollega University - Gimbi Campus.
The questions consists different courses such as Plantation Establishment and management, Silviculture, Forest Seed and Nursery, Biodiversity Management, Wood Processing, Forest Biometry, Dendrology, Forest Management, Agroforestry, NTFPs, Forest Ecology, Mensuration, Forest Road, Forest Protection, etc.
The question has about 100 Multiple Choice Items with its Answers. This Material will helps students and professionals of Forestry at University and college Levels.
The Link Between Subsurface Rheology and EjectaMobility: The Case of Small Ne...Sérgio Sacani
The dynamics of crater ejecta are sensitive to the material properties of the target, much like thecrater size and morphology. We isolate and quantify the effect of target properties on the ejecta mobility (EM) ‐the maximum radial extent of ejecta scaled by the crater radius. We compile geologically motivated subsurfacestructures based on data gathered by orbiters and landers. Those structures arise from varying properties ofmaterials in single layers (strength, composition, porosity); the thickness of top regolith cover; and the sequenceand thicknesses of 3–4 stacked layers. We realize 2D simulations with the iSALE shock physics code whichresult in a 50 m diameter crater (an analog of new craters formed in the period of spacecraft observation). Wefind that varied subsurface rheologies result in EM numbers with a wide range of values between 7 and 19. Somesubsurface models can result in a similar EM, and some have distinct EMs, which shows potential for using thisquantity as a new diagnostic of target properties. We also show that ejecta dynamics are sensitive not only to thematerial in the excavation zone but also at much greater depths than commonly assumed (at least 1–2 craterradii). EM also depends on both material properties and layering: the impedance contrast governs the nature ofwave propagation, while the layer depth controls the timing of the shock wave reflection. Detailed studies of EMthus have promise for unveiling shallow subsurface rheologies on many Solar System bodies in the future.
Anti fungal agents Medicinal Chemistry IIIHRUTUJA WAGH
Synthetic antifungals
Broad spectrum
Fungistatic or fungicidal depending on conc of drug
Most commonly used
Classified as imidazoles & triazoles
1) Imidazoles: Two nitrogens in structure
Topical: econazole, miconazole, clotrimazole
Systemic : ketoconazole
Newer : butaconazole, oxiconazole, sulconazole
2) Triazoles : Three nitrogens in structure
Systemic : Fluconazole, itraconazole, voriconazole
Topical: Terconazole for superficial infections
Fungi are also called mycoses
Fungi are Eukaryotic cells. They possess mitochondria, nuclei & cell membranes.
They have rigid cell walls containing chitin as well as polysaccharides, and a cell membrane composed of ergosterol.
Antifungal drugs are in general more toxic than antibacterial agents.
Azoles are predominantly fungistatic. They inhibit C-14 α-demethylase (a cytochrome P450 enzyme), thus blocking the demethylation of lanosterol to ergosterol the principal sterol of fungal membranes.
This inhibition disrupts membrane structure and function and, thereby, inhibits fungal cell growth.
Clotrimazole is a synthetic, imidazole derivate with broad-spectrum, antifungal activity
Clotrimazole inhibits biosynthesis of sterols, particularly ergosterol an essential component of the fungal cell membrane, thereby damaging and affecting the permeability of the cell membrane. This results in leakage and loss of essential intracellular compounds, and eventually causes cell lysis.
Seismic evidence of liquid water at the base of Mars' upper crustSérgio Sacani
Liquid water was abundant on Mars during the Noachian and Hesperian periods but vanished as 17 the planet transitioned into the cold, dry environment we see today. It is hypothesized that much 18 of this water was either lost to space or stored in the crust. However, the extent of the water 19 reservoir within the crust remains poorly constrained due to a lack of observational evidence. 20 Here, we invert the shear wave velocity structure of the upper crust, identifying a significant 21 low-velocity layer at the base, between depths of 5.4 and 8 km. This zone is interpreted as a 22 high-porosity, water-saturated layer, and is estimated to hold a liquid water volume of 520–780 23 m of global equivalent layer (GEL). This estimate aligns well with the remaining liquid water 24 volume of 710–920 m GEL, after accounting for water loss to space, crustal hydration, and 25 modern water inventory.