Study of Consolidation studies, Effect of Diffusion Parameters

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.

EY - Supply Chain Services 2018_template.pptx

AlguinaldoKong

(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...

Scintica Instrumentation

Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes. In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.

Richard's entangled aventures in wonderland

Richard 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.

Cancer cell metabolism: special Reference to Lactate Pathway

AADYARAJPANDEY1

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.

What is greenhouse gasses and how many gasses are there to affect the Earth.

moosaasad1975

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

Sérgio Sacani

We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and 30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1 . Our search finds no candidates at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to infer the properties of the evolving luminosity function without binning in redshift or luminosity that marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results, and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5 from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical models for evolution of the dark matter halo mass function.

GBSN - Biochemistry (Unit 5) Chemistry of Lipids

Areesha Ahmad

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.

Hemostasis_importance& clinical significance.pptx

muralinath2

Unveiling the Energy Potential of Marshmallow Deposits.pdf

Erdal Coalmaker

GBSN - Microbiology (Lab 4) Culture Media

Areesha Ahmad

NuGOweek 2024 Ghent - programme - final version

pablovgd

general properties of oerganologametal.ppt

IqrimaNabilatulhusni

The ASGCT Annual Meeting was packed with exciting progress in the field advan...

Health Advances

Citrus Greening Disease and its Management

subedisuryaofficial

Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...

muralinath2

Recently uploaded (20)

Structures and textures of metamorphic rocks

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

role of pramana in research.pptx in science

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

EY - Supply Chain Services 2018_template.pptx

(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...

Richard's entangled aventures in wonderland

Cancer cell metabolism: special Reference to Lactate Pathway

What is greenhouse gasses and how many gasses are there to affect the Earth.

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

GBSN - Biochemistry (Unit 5) Chemistry of Lipids

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

Hemostasis_importance& clinical significance.pptx

Unveiling the Energy Potential of Marshmallow Deposits.pdf

GBSN - Microbiology (Lab 4) Culture Media

NuGOweek 2024 Ghent - programme - final version

general properties of oerganologametal.ppt

The ASGCT Annual Meeting was packed with exciting progress in the field advan...

Citrus Greening Disease and its Management

Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...

Study of Consolidation studies, Effect of Diffusion Parameters

1. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 1 A Seminar as a part of curricular requirement for I year M. Pharm I semester Presented by G.Sai Navitha (Reg. No.20L01S0303) Dept. Of Pharmaceutics Under the guidance of Dr. Pavan Kumar Chintamaneni M.Pharm, Ph.D. Associate Professor & Head Department of Pharmaceutics Study of Consolidation studies Effect of Diffusion Parameters

2. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 2 • Introduction • Higuchi model • Applications • Reference Contents

3. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 3 What is meant by consolidation? Consolidation is an increase in mechanical strength of material resulting from particle-particle interactions. What is meant by diffusion? It is the movement of drug molecules in to & within the biological environment. It involves several process of drug transport across the cell membranes. Introduction

4. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 4 Higuchi proposed this model in 1961 . This model is based on the hypotheses that i. Initial drug concentration in the matrix is much higher than drug solubility; ii. Drug diffusion takes place only in one dimension iii. Drug particles are much smaller than system thickness iv. Matrix swelling and dissolution are negligible v. Drug diffusivity is constant and vi. Perfect sink conditions are always attained in the release environment. Higuchi model

5. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 5 Accordingly , model expression is given by this equation: Q=A Where Q is the amount of drug released in time t per unit area A, C is the drug initial concentration, Cs is the drug solubility in the matrix media and D is the diffusivity of the drug molecules A is the concentration of drug present in matrix per unit volume. Higuchi model

6. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 6 This is valid during all the time, except when the total depletion of the drug in the therapeutic system is achieved. To study the dissolution from planer heterogenous matrix system, where the drug concentration in the matrix is lower than solubility and the release occurs through pores in the matrix, in the expression is given by the below equation. ft=Q= [D / (2C - CS)CSt]1/2 Where D is the diffusion coefficient of the drug molecule in the solvent, is the porosity of the matrix Higuchi model

7. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 7 is the tortuisity of the matrix Q,A, CS and t have meaning assigned above. • In general way it is possible to simplify the Higuchi model as Q=KHt1/2 Where Q is cumulative amount of drug release at time KH is Higuchi constant, t is time in hours The Higuchi equation suggests that the drug release by diffusion. Higuchi model

8. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 8 The data obtained were plotted as cumulative percentage drug release versus square root of time Higuchi model

9. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 9  By using this model dissolution of drug from several modified release dosage forms like some transdermal system and matrix tablet with water soluble drugs are studied Applications

10. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 10 • C.V.S.Subramanyam , “Text book of Physical Pharmaceutics”, 2nd edition , Vallabh Prakashan. • Bruschi , M.L. (2015) “ Mathematical models of drug release” in strategies to modify the drug release from pharmaceutical systems.Elsevier BV. • Shaikh H.K., Kshirsagar R.V and Patil S.G., 2015.Mathematical models for drug release characterization: a review world j pharm pharmacent sci, 4 References

11. RIPER AUTONOMOUS NAAC & NBA (UG) SIRO- DSIR Raghavendra Institute of Pharmaceutical Education and Research - Autonomous K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 11

Study of Consolidation studies, Effect of Diffusion Parameters

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Study of Consolidation studies, Effect of Diffusion Parameters

Similar to Study of Consolidation studies, Effect of Diffusion Parameters (20)

More from Raghavendra institute of pharmaceutical education and research .

More from Raghavendra institute of pharmaceutical education and research . (20)

Recently uploaded

Recently uploaded (20)

Study of Consolidation studies, Effect of Diffusion Parameters