This document discusses Microsoft SQL Server and data definition language (DDL) statements. It provides examples of using DDL statements to create and alter databases and tables, as well as delete tables. Data manipulation language (DML) statements are also covered, with examples shown for inserting, selecting, updating, and deleting data in tables. The lecture is presented by Ashna Nazm Hamasalh and focuses on introductory SQL topics.
This Presentation is about Oracle Database.
In Oracle Database we have different types of Languages.
In This Presentation We have discussed Data Manipulation Language, Data Defination Language and Data Control Language In the Oracle.
This Presentation is about Oracle Database.
In Oracle Database we have different types of Languages.
In This Presentation We have discussed Data Manipulation Language, Data Defination Language and Data Control Language In the Oracle.
A presentation about MySQL for beginners. It includes the following topics:
- Introduction
- Installation
- Executing SQL statements
- SQL Language Syntax
- The most important SQL commands
- MySQL Data Types
- Operators
- Basic Syntax
- SQL Joins
- Some Exercise
PostgreSQL - It's kind've a nifty databaseBarry Jones
This presentation was given to a company that makes software for churches that is considering a migration from SQL Server to PostgreSQL. It was designed to give a broad overview of features in PostgreSQL with an emphasis on full-text search, various datatypes like hstore, array, xml, json as well as custom datatypes, TOAST compression and a taste of other interesting features worth following up on.
A presentation about MySQL for beginners. It includes the following topics:
- Introduction
- Installation
- Executing SQL statements
- SQL Language Syntax
- The most important SQL commands
- MySQL Data Types
- Operators
- Basic Syntax
- SQL Joins
- Some Exercise
PostgreSQL - It's kind've a nifty databaseBarry Jones
This presentation was given to a company that makes software for churches that is considering a migration from SQL Server to PostgreSQL. It was designed to give a broad overview of features in PostgreSQL with an emphasis on full-text search, various datatypes like hstore, array, xml, json as well as custom datatypes, TOAST compression and a taste of other interesting features worth following up on.
(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.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
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.
1. Microsoft SQL server
Lecture : four
Lecturer :Ashna nazm hamasalh
ashnanazm2@gmail.com
Kirkuk institute for computer science
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lecturer.Miss.Ashna Nazm Hamasalh
3. DDL STATEMENTS
• To create a Database
– Syntax : CREATE DATABASE dbname;
– Example: CREATE DATABASE my_db;
• To Use a database
– Syntax : Use dbname;
– Example: Use my_db;
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lecturer.Miss.Ashna Nazm Hamasalh
4. Creating a table
• Syntax CREATE
TABLE table_name
(
column_name1
data_type(size),
column_name2 data_type(size),
column_name3 data_type(size),
PRIMARY
KEY(column_name1));
• Example
CREATE TABLE Persons
(
PersonID int
identity(1,1),
FirstName varchar(255),
Address varchar(255),
City varchar(255),
Primary key(PersonalID)
);
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lecturer.Miss.Ashna Nazm Hamasalh
5. DDL - Altering a table
• ALTER TABLE Persons ADD email VARCHAR(60);
• ALTER TABLE Persons DROP COLUMN city;
• exec sp_rename 'Table_1.email','fullname','column';
• DDL - Deleting a Table
• DROP TABLE table_name ;
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lecturer.Miss.Ashna Nazm Hamasalh
6. DML STATEMENTS
• DML - Insert Data into a table
• Syntax :
– INSERT INTO table_name VALUES
(value1,value2,value3,...);
• Example:
– INSERT INTO Customers (CustomerName, City, Country) VALUES (baabtra', ‘Calicut', ‘India');
Note : String and date values are specified as quoted string. Also with insert you can
insert NULL directly to represent a missing value.
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lecturer.Miss.Ashna Nazm Hamasalh
7. • DML -Retrieving information from a table
•The SELECT statement is used to pull data from a table”
• Syntax: SELECT what_to_select FROM table_name Whereconditions_to_satisfy ;
The Where clause is
optional. If it is present,
conditions_to_satisfy
specifies one or more
conditions that rows must
satisfy to qualify for retrieval.
What_to_select indicates
what you want to see.
This can be a list of
columns or * to indicate
“all columns”.
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lecturer.Miss.Ashna Nazm Hamasalh
8. DML - Example
• Select * from person;
• Select id,firstname from person;
• Select * from person where city=‘banglore’
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lecturer.Miss.Ashna Nazm Hamasalh
9. • DML - Update Query
Syntax:
• UPDATE table_name
SET column1=value1,column2=value2,... WHERE
some_column=some_value;
Example:
• UPDATE Customers
SET ContactName=‘Alex', City=‘calicut‘ WHERE
CustomerName=‘baabtra';
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lecturer.Miss.Ashna Nazm Hamasalh
10. • Delete Query
Syntax:
DELETE FROM table_name WHERE some_column=some_value;
Example :
DELETE FROM Customers WHERE CustomerName=‘baabtra' AND
ContactName='Maria';
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lecturer.Miss.Ashna Nazm Hamasalh