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AI-ML

1.Explain the Expectation-Maximization (EM) algorithm and its application to Gaussian Mixture Models.

The Expectation-Maximization (EM) algorithm is an iterative method used to estimate parameters in statistical models that involve latent (hidden) variables, such as missing data or unobserved groupings. It is especially useful for fitting models like Gaussian Mixture Models (GMMs), where the data is assumed to come from a mixture of several Gaussian distributions, but the assignment of each data

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hrmmm

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11. Explain in brief the major contributing
disciplines to the field of organizational behaviour.
Answer: The major contributing disciplines to the field of
organizational behaviour (OB) are psychology, sociology, social psychology, anthropology, and political science.
  • Psychology: This discipline, which seeks to measure and explain behavior, provides significant input into understanding individual behavior in organizations. Key areas include learning, perception, personality, emotions, motivation,
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rdna techh

what are probes explain their types and explain screening of library using probe based direct and indirect methods
A probe is a single-stranded sequence of DNA, RNA, or a specific protein/antibody that is labeled with a detectable marker (radioactive, fluorescent, or chemical tag) and used in molecular biology to detect the presence of a specific, complementary target sequence in a complex mixture.
Types of Probes
Probes are generally classified by their chemical nature and intended target:
DNA
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AI-ML

The Expectation-Maximization (EM) algorithm is an iterative method used to estimate the parameters of statistical models that involve latent (unobserved) variables, such as missing data or hidden cluster assignments. It is especially useful for fitting Gaussian Mixture Models (GMMs), where the goal is to model data as a mixture of several Gaussian distributions.

How the EM Algorithm Works

The EM algorithm alternates between two steps:

  • Expectation Step (E-step): Given the current parameter estimates
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rdna technology

Protein Engineering and strategies to improve properties of protein and enzyme

With roots in recombinant DNA technology, the field of protein engineering regards gene modifications as changes to
protein sequences that bestow desired properties. Protein engineering is considered the next big thing, after genetic
engineering. Many methods of precisely constructing proteins may be broadly categorized as methods requiring
substantial previous protein interaction, hence introducing the concept of a methodical
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analitica

1. Explique a diferença entre:

a) precipitado coloidal e um cristalino:

- Precipitado Coloidal: partículas muito pequenas dificil filtração & sedimentação - invisivel olho nú

- Precipitado Cristalino - particulas maiores, facilmente filtraveis e sedimentam facilmente.

b) Precipitação gravimétrica e volatização gravimétrica.

- Precipitação gravimétrica - conversão do analito solúvel em um precipitado insolúvel, está relacionado a um analito, que faz massa de um precipitado.

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HUMAN

Q1. What is Value Education? Explain its meaning, need, and importance in daily life.

Introduction 

Value education is a deliberate and systematic process of helping individuals understand, appreciate and internalize fundamental human values—such as truthfulness, compassion, responsibility, respect, and non-violence—so that these values guide their thoughts, choices and actions. It moves beyond transmission of rules or religious precepts to develop inner clarity, ethical judgement and habitual

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rdna tech

Explain in Detail Concept Of Gene Therapy

Ever since the dawn of mankind, diseases have plagued humans over the ages. Years of innovations and advancements in science has provided us with a deeper understanding of how diseases work. This has led to lower mortality rates and longer lifespans. But there are some diseases that just cannot be cured using traditional medicine or surgery. Gene therapy is an experimental technique that caters to patients with such diseases.
What is Gene therapy?
Gene
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mmm,,,,,,,,,,,,,,

1. Defense Mechanisms
* Innate immunity:• Non‑specific, immediate response
* Uses PRRs (pattern recognition receptors) to detect PAMPs
* Intrinsic immunity:• Always present in cells (pre‑existing defenses)
* Examples: TRIM proteins, MxA, Tetherin, autophagy, apoptosis
* Adaptive immunity:• Specific, develops after infection
* Two arms: T cells (cell‑mediated) & B cells (antibody‑mediated)
2. Pathogen Sensing
* PAMPs (viral signatures):• dsRNA (from ssRNA virus replication)
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