Modular Super Vertex Magic Total Labelling

•

0 likes•54 views

Let G be a finite simple graph with |V| = p and |E| = q. We extend the idea of super vertex magic total labeling to modular super vertex magic labeling. In this paper we give some properties of modular super vertex magic total labellings. Here we find some families of graphs that admit this labeling and also some other graph which do not possess this property.

Science

International Journal of Computing Algorithm, Vol 3(1), June 2014
ISSN(Print):2278-2397
Website: www.ijcoa.com
Modular Super Vertex Magic Total Labelling
D.Antony Xavier
Department of Mathematics, Loyola College, Chennai
E-mail: dantonyxavier@gmail.com
Abstract
Let G be a finite simple graph with |V| = p and |E| = q. We extend the idea of super vertex
magic total labeling to modular super vertex magic labeling. In this paper we give some
properties of modular super vertex magic total labellings. Here we find some families of
graphs that admit this labeling and also some other graph which do not possess this property.

What's hot

S6 l04 analytical and numerical methods of structural analysis

Shaikh Mohsin

A mathematical model for integrating product of two functions

Alexander Decker

Kernel methods and variable selection for exploratory analysis and multi-omic...

tuxette

Explanable models for time series with random forest

tuxette

A lattice-based consensus clustering

Dmitrii Ignatov

Aplicaciones de la derivada

JOELSEBASTIANANDRADE

We have proposed prefix-based gapless sequential patterns for classification of demographic sequences. In comparison to black-box machine learning techniques, this one provides interpretable patterns suitable for treatment by professional demographers. As for the language, we have used Pattern Structures as an extension of Formal Concept Analysis for the case of complex data like sequences, graphs, intervals, etc.

Pattern-based classification of demographic sequences

Dmitrii Ignatov

ALTERNATIVE METHOD TO LINEAR CONGRUENCE

Polemer Cuarto

CSMR11b.ppt

Ptidej Team

Calculus and Numerical Method =_=

Fazirah Zyra

This article introduces some new straightforward and yet powerful formulas in the form of series solutions together with their residual errors for approximating the Riemann-Liouville fractional derivative operator. These formulas are derived by utilizing some of forthright computations, and by utilizing the so-called weighted mean value theorem (WMVT). Undoubtedly, such formulas will be extremely useful in establishing new approaches for several solutions of both linear and nonlinear fractionalorder differential equations. This assertion is confirmed by addressing several linear and nonlinear problems that illustrate the effectiveness and the practicability of the gained findings.

$Numerical approach of riemann-liouville fractional derivative operator$ $Numerical approach of riemann-liouville fractional derivative operator$

Numerical approach of riemann-liouville fractional derivative operator

IJECEIAES

2016 7-13

Joe Suzuki

Learning from (dis)similarity data

tuxette

Numerical Methods in Mechanical Engineering - Final Project

Stasik Nemirovsky

Finding the Pancyclicity and Vertex connectivity for a general graph is the problem in NP complete class. In this paper, a bio-computation way of solving these two problems has been proposed. DNA computation is more powerful because of its massive parallelism and high density storage capacity. Thereby, producing the VERTEXCONNECTIVITY, PANCYCLIC and GIRTH algorithm solvable in polynomial time. The method in tracing the k-cycle and k-cut vertex was also used for the computation.

DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph

ijcoa

Graph Based Pattern Recognition

Nicola Strisciuglio

Recognition as Graph Matching

Vishakha Agarwal

Kernel methods for data integration in systems biology

tuxette

Dominating set of fixed size in degenerated graph

Abner Chih Yi Huang

Common fixed point theorems for contractive maps of

Alexander Decker

What's hot (20)

S6 l04 analytical and numerical methods of structural analysis

A mathematical model for integrating product of two functions

Kernel methods and variable selection for exploratory analysis and multi-omic...

Explanable models for time series with random forest

A lattice-based consensus clustering

Aplicaciones de la derivada

Pattern-based classification of demographic sequences

ALTERNATIVE METHOD TO LINEAR CONGRUENCE

CSMR11b.ppt

Calculus and Numerical Method =_=

$Numerical approach of riemann-liouville fractional derivative operator$ $Numerical approach of riemann-liouville fractional derivative operator$

Numerical approach of riemann-liouville fractional derivative operator

2016 7-13

Learning from (dis)similarity data

Numerical Methods in Mechanical Engineering - Final Project

DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph

Graph Based Pattern Recognition

Recognition as Graph Matching

Kernel methods for data integration in systems biology

Dominating set of fixed size in degenerated graph

Common fixed point theorems for contractive maps of

Viewers also liked

MKU Social Journal

Godfrey Otieno onyango

коммерческое предложение, эффективный сайт

smusainov

Game Jams As A Classroom Model

Jeff Thompson

Qui veut gagner des millions2ºeso

letidod

Public Speaking Lecture at Knowledge Workers Development Center, Cyberjaya

Logan Balavijendran

John Agard

Majo Galleno

Neste domingo, 29 de março, estudantes de graduação e pós-graduação em Direito testarão seus conhecimentos na prova para credenciamento de estagiários do Ministério Público de Santa Catarina (MPSC). Há vagas disponíveis na Procuradoria-Geral de Justiça e nas comarcas espalhadas pelo Estado. Ao todo, 2.508 candidatos realizarão a prova em 37 diferentes cidades, sendo que 1.830 disputarão vagas para graduação e 678 para pós-graduação. O local das provas para alunos da graduação pode ser consultado aqui e de pós-graduação aqui.

Edital credenciamento direito - Alterado

Ministério Público de Santa Catarina

Pushkar Camel Festival

Easy Tours of India

Grupo Reifs: Envejecimiento activo

gruporeifs

Latihan

ranggifhondashe

No250 newslettr daily e-29_9_2013

e-syrianews

O "διάλογος" του Αναγνωστάκη με τον Καβάφη

peri mixou

Mentes brillantes y talentosas

Alejita Saavedra

April 2015 classes

Colleen Mcgraw

Viewers also liked (14)

MKU Social Journal

коммерческое предложение, эффективный сайт

Game Jams As A Classroom Model

Qui veut gagner des millions2ºeso

Public Speaking Lecture at Knowledge Workers Development Center, Cyberjaya

John Agard

Edital credenciamento direito - Alterado

Pushkar Camel Festival

Grupo Reifs: Envejecimiento activo

Latihan

No250 newslettr daily e-29_9_2013

O "διάλογος" του Αναγνωστάκη με τον Καβάφη

Mentes brillantes y talentosas

April 2015 classes

SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics

ijcoa

Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.

BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach

ijcoa

The detection of moving object is an important in many applications such as a vehicle identification in a traffic monitoring system,human detection in a crime branch.In this paper we identify a vehicle in a video sequence.This paper briefly explain the detection of moving vehicle in a video.We introduce a new algorithm BGS for idntifying vehicle in a video sequence. First, we differentiate the foreground from background in frames by learning the background. Then, the image is divided into many small nonoverlapped frames. The candidates of the vehicle part can be found from the frames if there is some change in gray level between the current image and the background. The extracted background subtraction method is used in subsequent analysis to detect a vehicle and classify moving vehicle.

Motion Object Detection Using BGS Technique

ijcoa

Analysis of Women Harassment in Villages Using CETD Matrix Modal

ijcoa

Solving Assignment Problem Using L-R Fuzzy Numbers

ijcoa

Fuzzy Chroamtic Number of Line Graph using α-Cuts

ijcoa

A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...

ijcoa

Dual Trapezoidal Fuzzy Number and its Applications

ijcoa

This paper presents an implementation of one dimensional Burgers equation using implicit method with Intel Xeon Phi Coprocessor. In particular, we used MAGMA MIC library which is an open source high performance library for solving a systems of non-linear equations. Further for high performance computation we consider offload mode as the primary mode of operation for Intel Xeon phi coprocessor. The result obtained from implicit scheme is then compared with the exact values and it’s seen that the results obtained are approximate and reliable. The result table showed that the proposed scheme achieved higher performance on Intel MIC platform.

Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...

ijcoa

Adin and Roichman [1] introduced the concept of permutation graphs and Peter Keevash, Po-Shen Loh and Benny Sudakov [2] identified some permutation graphs with maximum number of edges. Ryuhei Uehara, Gabriel Valiente, discussed on Linear structure of Bipartite Permutation Graphs and the Longest Path Problem [3]. If i, j belongs to a permutation on p symbols {1, 2, …, p} and i is less than j then there is an edge between i and j in the permutation graph if i appears after j in the sequence of permutation. So the line of i crosses the line of j in the permutation. Hence there is a one to one correspondence between crossing of lines in the permutation and the edges of the corresponding permutation graph. In this paper we found the conditions for a permutation to realize a double star and comprehend the algorithm to determine the satuation index of the permutation. AMS Subject Classification (2010): 05C35, 05C69, 20B30.

Saturation Index of π(D(r,s))

ijcoa

The multi-factorial chronicle, severe disease among human is diabetes. As a result of abnormal level of glucose in body leads to heart attack, kidney disease, renal failure, Hyperglycemia and also cancer in organs like liver and pancreas. Many studies have been proved that several types of heart diseases are possible in diabetic patients having a high blood sugar. Many approaches were proposed to diagnose both Diabetes and heart diseases. Most of the diabetes people can also have heart diseases called as Diabetic Cardiomyopathy. The earliest manifestation of diabetic cardiomyopathy is needed certain processes. The objective of the study is to examine the association of heart disease and diabetes. The relationship between diabetes and cardiovascular diseases are examined by taking into account of age, sex and associated diabetic and cardiovascular risk factors. The data are collected from patients with diabetes. From these data, features are selected by ant colony optimization and those selected features are given to hybrid PSO-LIBSVM to classify abnormal and normal data. This performance is evaluated using performance metrics and proved this classifiers efficiency for detection of Diabetic Cardiomyopathy.

Classification and Prediction of Heart Disease from Diabetes Patients using H...

ijcoa

Cryptography is important in communicating secured information that is vulnerable to distortion. The main goal of this paper is encrypting the small arbitrary length data without any changes in the length and data type. We propose a flexible arbitrary length small domain block cipher (FPESD). FPESD is based on AES Algorithm. The resulting cipher text is the same as input plaintext. Here, we use Galois finite field GF (28) and format preserving key to implement FPE. For decryption format preserving key is used along with cipher text and secret key.

Format Preserving Encryption for Small Domain

ijcoa

Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...

ijcoa

Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.

Clustering and Classification in Support of Climatology to mine Weather Data ...

ijcoa

Test Suite Reduction is an optimization technique to identify the minimally sized subset of test cases with enforced constraints involved. The main purpose of test suite reduction is to deduce increased number of test cases that in turn increase the time and cost involved in execution. Fault Detection is the method of identifying the faults that affect the outcome of the system either logically or syntactically. This paper focuses on the reduction of the test suite that has high fault identification rates and also incurs low cost of execution of test cases. The proposed approach includes a new parameter Fault Detection Effectiveness to identify fault rates of test suite; an algorithm for test suite reduction based on priority of requirements; a low cost framework to identify the execution of test cases with minimum budget. Thus, the proposed work defines a test suite that has high fault detection effectiveness providing maximum coverage to requirements at minimum cost of execution.

Test Suite Reduction Based on Fault Detection with Cost Optimization

ijcoa

As the e-commerce is gaining popularity various customer surveys of objects are currently accessible on the Internet. These surveys are frequently disordered, prompting challenges in knowledge discovery and object assessment. This article proposes an object feature positioning skeleton, which consequently recognizes the critical features of an object from online customer surveys. The critical object features are recognized focused around two perceptions: 1) they are normally commented extensively by customers and 2) customer suppositions on the critical feature significantly impact their general assessments on the object. Specifically, given the customer surveys of an item, we first extract the object feature by a shallow reliance parser and focus customer suppositions on these features through an opinion characterizer. We then create a probabilistic object feature positioning calculation to identify the criticalness of perspectives by at the same time considering feature recurrence and the impact of customer opinion given to every feature over their general opinion. The experimental results on 3 popular products demonstrate the effectiveness of our approach.

Artifact Facet Ranking and It’s Applications

ijcoa

Cloud Computing makes data really mobile and a client can simply access a chosen cloud with any internet accessible device. The espousal and dispersion of Cloud computing are threatened by unresolved security issues that affect both the cloud provider and the cloud user. The integrity of data stored in the cloud is one of the challenges to be addressed before the novel storage model is applied widely. This paper analyses the efficiency issues and security dodge of an existing scheme and proposes an amended data integrity scheme using improved RSA and number theory based concept for cloud archive. This scheme of protecting the integrity of guest virtual machines can be agreed upon by both the cloud and the customer and can be incorporated in the service level agreement (SLA).Based onhypothetical analysis, we demonstrate that the proposedscheme has a provably safe and highly adroit dataintegrity inspection measure.

Effectual Data Integrity Checking Technique Based on Number Theory

ijcoa

What cause to the neurons of the human brain cells when they are damaged. They become inactive. So damage to subthalamiuc nucleus (STN) neurons of the human brain causing larger involuntary movements and thereby attacking the Parkinson’s disease (PD). Deep brain stimulation (DBS) of bilateral sub thalamic nuclei (STN) is an efficient method of rehabilitation technique in subjects with advanced idiopathic Parkinson’s (or Parkinson) disease. Accurate targeting of STN neurons and placement of microelectrodes/ (neurosensors) are paramount importance for optimal results after STN-DBS method.In this paper, microminiaturized electrode recordings (MER) of STN neurons were detected in a mean of 3.5 ±1.1 channels on right hemisphere and 3.6 ±1.04 on left hemisphere.Final channel selected were most commonly central seen in 42.3% followed by anterior in 33.7%. When a high current is delivered to STN or GPi neurons of basal ganglia (a component of human brain), causing their inhibition and improved indication of symptoms. It is now known that there is a significant change in the firing pattern and a reorganization of the entire basal ganglia circuit with DBS. The MER of STN neurons has identified a specific high frequency irregular larger amplitude firing patterns seen only in disease states and hence used to detect the neurons of ST nucleus during functional surgery. Microelectrode recording is so useful to confirm the right path but has to be taken in consideration with effects on macro stimulation.

Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain

ijcoa

The focus of this paper is to get a bird's eye view of the various factors that could be analyzed to present schools and governments timely indicators of school dropouts. With the help of EDM, one could have access to enormous amounts of data. The crux of the matter would be to identify the data in line with plans and ideas that would eventually lead to the formulation of policies that enhance the teaching and learning process.

EDM: Finding Answers to Reduce Dropout Rates in Schools

ijcoa

Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile software development still remains a challenge. Measurement practices in agile methods are more important than traditional methods, because lack of appropriate an effective measurement practices will increase the risk of project. This paper discuss about traditional and agile effort estimation model, and analysis done on how the metrics are used in estimation process. The paper also suggeststo use object point and use case point to improve accuracy of effort in agile software development.

Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...

ijcoa

More from ijcoa (20)

SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics

BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach

Motion Object Detection Using BGS Technique

Analysis of Women Harassment in Villages Using CETD Matrix Modal

Solving Assignment Problem Using L-R Fuzzy Numbers

Fuzzy Chroamtic Number of Line Graph using α-Cuts

A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...

Dual Trapezoidal Fuzzy Number and its Applications

Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...

Saturation Index of π(D(r,s))

Classification and Prediction of Heart Disease from Diabetes Patients using H...

Format Preserving Encryption for Small Domain

Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...

Clustering and Classification in Support of Climatology to mine Weather Data ...

Test Suite Reduction Based on Fault Detection with Cost Optimization

Artifact Facet Ranking and It’s Applications

Effectual Data Integrity Checking Technique Based on Number Theory

Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain

EDM: Finding Answers to Reduce Dropout Rates in Schools

Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...

Recently uploaded

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

muralinath2

Viksit bharat till 2047 India@2047.pptx

rakeshsharma20142015

platelets- lifespan -Clot retraction-disorders.pptx

muralinath2

In silico drugs analogue design: novobiocin analogues.pptx

AlaminAfendy1

Below are the important points I note from the 2020 paper by Martin Grohe: - 1-WL distinguishes almost all graphs, in a probabilistic sense - Classical WL is two dimensional Weisfeiler-Leman - DeepWL is an unlimited version of WL graph that runs in polynomial time. - Knowledge graphs are essentially graphs with vertex/edge attributes ABSTRACT: Vector representations of graphs and relational structures, whether handcrafted feature vectors or learned representations, enable us to apply standard data analysis and machine learning techniques to the structures. A wide range of methods for generating such embeddings have been studied in the machine learning and knowledge representation literature. However, vector embeddings have received relatively little attention from a theoretical point of view. Starting with a survey of embedding techniques that have been used in practice, in this paper we propose two theoretical approaches that we see as central for understanding the foundations of vector embeddings. We draw connections between the various approaches and suggest directions for future research.

word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...

Subhajit Sahu

Predicting property prices with machine learning algorithms.pdf

binhminhvu04

FAIRSpectra - Towards a common data file format for SIMS images

Alex Henderson

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

NathanBaughman3

Comparative structure of adrenal gland in vertebrates

sachin783648

ESR_factors_affect-clinic significance-Pathysiology.pptx

muralinath2

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.

Multi-source connectivity as the driver of solar wind variability in the heli...

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.

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Sérgio Sacani

insect morphology and physiology of insect

anitaento25

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.

Cancer cell metabolism: special Reference to Lactate Pathway

AADYARAJPANDEY1

Plant Biotechnology undergraduates note.pptx

yusufzako14

A brief information about the SCOP protein database used in bioinformatics. The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.

Structural Classification Of Protein (SCOP)

aishnasrivastava

Seminar of U.V. Spectroscopy by SAMIR PANDA

SAMIR PANDA

GEOLOGICAL FIELD REPORT On Kaptai Rangamati Road-Cut Section.pdf

University of Barishal

We report on the discovery of Gliese 12 b, the nearest transiting temperate, Earth-sized planet found to date. Gliese 12 is a bright (V = 12.6 mag, K = 7.8 mag) metal-poor M4V star only 12.162 ± 0.005 pc away from the Solar system with one of the lowest stellar activity levels known for M-dwarfs. A planet candidate was detected by TESS based on only 3 transits in sectors 42, 43, and 57, with an ambiguity in the orbital period due to observational gaps. We performed follow-up transit observations with CHEOPS and ground-based photometry with MINERVA-Australis, SPECULOOS, and Purple Mountain Observatory, as well as further TESS observations in sector 70. We statistically validate Gliese 12 b as a planet with an orbital period of 12.76144 ± 0.00006 d and a radius of 1.0 ± 0.1 R⊕, resulting in an equilibrium temperature of ∼315 K. Gliese 12 b has excellent future prospects for precise mass measurement, which may inform how planetary internal structure is affected by the stellar compositional environment. Gliese 12 b also represents one of the best targets to study whether Earth-like planets orbiting cool stars can retain their atmospheres, a crucial step to advance our understanding of habitability on Earth and across the galaxy.

Gliese 12 b, a temperate Earth-sized planet at 12 parsecs discovered with TES...

Sérgio Sacani

GBSN- Microbiology (Lab 3) Gram Staining

Areesha Ahmad

Recently uploaded (20)

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

Viksit bharat till 2047 India@2047.pptx

platelets- lifespan -Clot retraction-disorders.pptx

In silico drugs analogue design: novobiocin analogues.pptx

word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings o...

Predicting property prices with machine learning algorithms.pdf

FAIRSpectra - Towards a common data file format for SIMS images

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Comparative structure of adrenal gland in vertebrates

ESR_factors_affect-clinic significance-Pathysiology.pptx

Multi-source connectivity as the driver of solar wind variability in the heli...

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

insect morphology and physiology of insect

Cancer cell metabolism: special Reference to Lactate Pathway

Plant Biotechnology undergraduates note.pptx

Structural Classification Of Protein (SCOP)

Seminar of U.V. Spectroscopy by SAMIR PANDA

GEOLOGICAL FIELD REPORT On Kaptai Rangamati Road-Cut Section.pdf

Gliese 12 b, a temperate Earth-sized planet at 12 parsecs discovered with TES...

GBSN- Microbiology (Lab 3) Gram Staining