Application of Integro-Differential Equation in Periodic Chemotherapy
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In this paper, the presentation will be on existing model called integro-differential equation of tumor growth that accounts for cell cycle arrest and cell death induced by periodic chemotherapy. Necessary and sufficient conditions for the global stability of the cancer –free equilibrium are derived, and conditions under which the system evolves to periodic solutions are determined.
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ANALYSIS OF ROLE OF PROTEIN IN DIFFERENT STAGES OF CANCER USING WEIGHTED MUL...
Cancer occurs as a result of mutations, or abnormal changes, in the genes responsible for regulating the growth of cells and keeping them healthy. The cells in our bodies replace themselves through an orderly process of cell growth: healthy new cells take over as old ones die out. Cell, in due course of time, gains the ability to keep dividing without control or order, producing more cells just like it and forming a tumor. The breast has developed from cells in the breast due to a malignant tumor. In this paper an attempt is made to find out the role of protein in reaching the different stages of breast cancer on the basis of experts opinion using the weighted multi expert neural networks system
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ANALYSIS OF ROLE OF PROTEIN IN DIFFERENT STAGES OF CANCER USING WEIGHTED MUL...
Cancer occurs as a result of mutations, or abnormal changes, in the genes responsible for regulating the growth of cells and keeping them healthy. The cells in our bodies replace themselves through an orderly process of cell growth: healthy new cells take over as old ones die out. Cell, in due course of time, gains the ability to keep dividing without control or order, producing more cells just like it and forming a tumor. The breast has developed from cells in the breast due to a malignant tumor. In this paper an attempt is made to find out the role of protein in reaching the different stages of breast cancer on the basis of experts opinion using the weighted multi expert neural networks system
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Understanding gene function (GF) is still a signifi
cant challenge in system biology. Previously,
several machine learning and computational techniqu
es have been used to understand GF.
However, these previous attempts have not produced
a comprehensive interpretation of the
relationship between genes and differences in both
age and gender. Although there are several
thousand of genes, very few differentially expresse
d genes play an active role in understanding
the age and gender differences. The core aim of thi
s study is to uncover new biomarkers that
can contribute towards distinguishing between male
and female according to the gene
expression levels of skeletal muscle (SM) tissues.
In our proposed multi-filter system (MFS),
genes are first sorted using three different rankin
g techniques (t-test, Wilcoxon and ROC).
Later, important genes are acquired using majority
voting based on the principle that
combining multiple models can improve the generaliz
ation of the system. Experiments were
conducted on Micro Array gene expression dataset an
d results have indicated a significant
increase in classification accuracy when compared w
ith existing system
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SPSS: An Effective Tool to Compute Learning Outcomes in Acadamics
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Majority Voting Approach for the Identification of Differentially Expressed G...
Understanding gene function (GF) is still a signifi
cant challenge in system biology. Previously,
several machine learning and computational techniqu
es have been used to understand GF.
However, these previous attempts have not produced
a comprehensive interpretation of the
relationship between genes and differences in both
age and gender. Although there are several
thousand of genes, very few differentially expresse
d genes play an active role in understanding
the age and gender differences. The core aim of thi
s study is to uncover new biomarkers that
can contribute towards distinguishing between male
and female according to the gene
expression levels of skeletal muscle (SM) tissues.
In our proposed multi-filter system (MFS),
genes are first sorted using three different rankin
g techniques (t-test, Wilcoxon and ROC).
Later, important genes are acquired using majority
voting based on the principle that
combining multiple models can improve the generaliz
ation of the system. Experiments were
conducted on Micro Array gene expression dataset an
d results have indicated a significant
increase in classification accuracy when compared w
ith existing system
Managing Oligometastatic Lung Cancer
Oligometastatic lung cancer is cancer that has spread from the primary location to one or a few other organs. In most cases, oligometastatic lung disease occurs in the brain.
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application of differential equation and multiple integral
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I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
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With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
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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.
SAR of Medicinal Chemistry 1st by dk.pdf
In this presentation include the prototype drug SAR on thus or with their examples .
Syllabus of Second Year B. Pharmacy
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Phenomics assisted breeding in crop improvement
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
ISI 2024: Application Form (Extended), Exam Date (Out), Eligibility
The Indian Statistical Institute (ISI) has extended its application deadline for 2024 admissions to April 2. Known for its excellence in statistics and related fields, ISI offers a range of programs from Bachelor's to Junior Research Fellowships. The admission test is scheduled for May 12, 2024. Eligibility varies by program, generally requiring a background in Mathematics and English for undergraduate courses and specific degrees for postgraduate and research positions. Application fees are ₹1500 for male general category applicants and ₹1000 for females. Applications are open to Indian and OCI candidates.
Richard's aventures in two entangled wonderlands
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.
Nutraceutical market, scope and growth: Herbal drug technology
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
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