Algae as a food. Algae are the microorganisms found in aquatic area.In the world the food shortages continue growing so algae one of the best food replacement for the world
Sant Gadge Baba Amravati University, (SGBAU)
BOTANY
B.Sc. I (Sem- I)
Diversity & Applications of Microbes and Cryptogams
Unit-VI
Application of Microbes and Cryptogams
6.1. Economic Importance of Algae with special reference to Food
(Algae as a Food)
By
Avinash Darsimbe
Assistant Professor
Department of Botany
Shri Shivaji Science College, Amravati
Cyanobacteria (blue‐green algae)
Dinoflagellates
Euglenoids
Brown, Golden‐brown, and Yellow‐brown Algae
Glaucophytes
Red Algae
Green Algae
Algal Culturing
use of algae
This slide contains all the basic information about classes and divisions of Algae with proper representation of perfect examples with their pictures in the slide. Also included the slide of Algal Blooms and their adverse effects.
through this ppt you will get know the economic importance of algae
ALGAE characters , importance as food, antibiotics, medicines ,fertilizer, agar agar
Algae definition
Classification of algae
Sexual reproduction of algae
Habit and habitat of algae
Anisogamy reproduction
Isogamous reproduction
Oogamous reproduction
Life cycle of chalmydosomnas
Study of plant kingdom made easy. Students often find this chapter difficult to understand as they cannot relate to plants very well (especially because they don't play outdoors or observe nature around them). For a student of Biology it is important to develop an interest and be able to relate to plants as well as we do to animals. I have worked hard to make this ppt as interesting as I could. I hope it will provide some help to students and other fellow teachers who wish to make their class interesting and interactive.
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.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Sant Gadge Baba Amravati University, (SGBAU)
BOTANY
B.Sc. I (Sem- I)
Diversity & Applications of Microbes and Cryptogams
Unit-VI
Application of Microbes and Cryptogams
6.1. Economic Importance of Algae with special reference to Food
(Algae as a Food)
By
Avinash Darsimbe
Assistant Professor
Department of Botany
Shri Shivaji Science College, Amravati
Cyanobacteria (blue‐green algae)
Dinoflagellates
Euglenoids
Brown, Golden‐brown, and Yellow‐brown Algae
Glaucophytes
Red Algae
Green Algae
Algal Culturing
use of algae
This slide contains all the basic information about classes and divisions of Algae with proper representation of perfect examples with their pictures in the slide. Also included the slide of Algal Blooms and their adverse effects.
through this ppt you will get know the economic importance of algae
ALGAE characters , importance as food, antibiotics, medicines ,fertilizer, agar agar
Algae definition
Classification of algae
Sexual reproduction of algae
Habit and habitat of algae
Anisogamy reproduction
Isogamous reproduction
Oogamous reproduction
Life cycle of chalmydosomnas
Study of plant kingdom made easy. Students often find this chapter difficult to understand as they cannot relate to plants very well (especially because they don't play outdoors or observe nature around them). For a student of Biology it is important to develop an interest and be able to relate to plants as well as we do to animals. I have worked hard to make this ppt as interesting as I could. I hope it will provide some help to students and other fellow teachers who wish to make their class interesting and interactive.
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.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
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.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
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.
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.
3. INTRODUCTION
• It is a simple, thalloid, non- flowering & typically aquatic plant of a large
group that includes the seaweeds and many single celled forms.
• Algae contains chlorophyll but lack true stems, root, leaves & vascular
tissue.
• They capture more of the sun’s energy & produce more oxygen than all
plants combined.
• They store food material in the form of starch.
• They show distinct alternation of generation.
4. CHARACTERISTICS OF ALGAE
• Algae are photosynthetic eukaryotic organisms.
• They are commonly found in aquatic
environments including freshwater, marine &
brackish water.
• They are either motile or non-motile.
• Chlorophyll and other pigments are present.
• Flagella is present.
• They produce both sexually & asexually.
5. IMPORTANCE OF ALGAE
• It can be used as food source, fodder, fish
farming and as fertilizer.
• It is used as a bio fertilizer & soil stabilizers.
• It also helps in nitrogen fixation.
• Example:- Nostoc, Anabaena & Oscillatoria
6. • It is also used as air pollution control.
• Many minerals are also extracted from algae.
• Algae may grow into large numbers in nutrient-rich water
causing algal blooms or red tides.
• Carrageenan algae is used for preparation of toothpaste,
paint & blood coagulant.
• Chlorella algae is used for making antibiotics.
7. ALGAE AS A FOOD
• There are some edible algae that are often
used as preparation of food.
• Most of the plant protein is microalgae, such
as spirulina, chlorella, etc.
• Spirulina is highly nutritious and a great
source of protein, copper & B vitamins
• It is also available in capsules, tablets &
powder.
8. LAMINARIA
• Laminaria is a brown algae in the order of Laminariales.
• Laminaria contains about 10% protein, 2% fat & useful amounts of
vitamins & protein.
• It is also a rich source of iron & potassium.
• In South Korea laminaria is processed into a sweet meat known as
laminaria jelly.
• In other countries it is also used in fresh salad form.
9. PORPHYRA
• It is a red algae that grows in cold shallow water.
• It has 30-35% protein, 40-45% carbohydrates & a very percentage of
vitamins.
• In East Asia, porphyra is used to produce sea vegetable products such
as amanori in Japan.
• It is also sold and eaten together with rice.
10. • Algae such as laminaria, nostoc, porphyra, used as
food for human consumption.
• Algae is enriched in nutrients like protein, calcium,
ion, magnesium, iron & potassium.
• Food which commonly contain algae include a
variety of dairy products such as milk, ice-cream,
cheese, fruit juice & salads.
• They are used as protein suppliments in animal
feeds or as fertilizers
(Laminaria) (Nostoc)
(Porphyra) (Spirulina)
11. CONCLUSION
• Algae are basis of the food web in all aquatic eco-systems.
• Algae & algae technology can be used in the process to
sustain production of food for future.
• Future food production will be environmentally friendly and
efficient with algae technology.