The document defines different habitats and their components. It describes terrestrial habitat as the land area where plants and animals live, such as forests and grasslands. Aquatic habitat is defined as the water area where plants and animals live, like ponds, lakes, and oceans. It also explains that acclimatization refers to short-term physiological changes an organism undergoes to adjust to its surroundings, unlike long-term genetic adaptations. Finally, it states that the living things in a habitat are its biotic components, while non-living things like rocks, soil, air and water make up its abiotic components.
hi, I am sujon I just completed graduate at International University of Business Agriculture and Technology in Bangladesh Department of Mechanical Engineering
In this ppt we have followed the under given points
1. Biome definition
2. Biome types
3. Tundra Biome definition
4. Tundra Biome characteristics
5.Types of Tundra Biome
6. Climate of Tundra Biome
7. Soil of Tundra Biome
8. Plants, their characteristics and their adaption.
9. Animals,their characteristics and adaptions
10. Food web, chain and energy pyramid of Tundra Biome
11. Human effect on Tundra region
12. Problems in Tundra region and
13. solution of tundra region.
hi, I am sujon I just completed graduate at International University of Business Agriculture and Technology in Bangladesh Department of Mechanical Engineering
In this ppt we have followed the under given points
1. Biome definition
2. Biome types
3. Tundra Biome definition
4. Tundra Biome characteristics
5.Types of Tundra Biome
6. Climate of Tundra Biome
7. Soil of Tundra Biome
8. Plants, their characteristics and their adaption.
9. Animals,their characteristics and adaptions
10. Food web, chain and energy pyramid of Tundra Biome
11. Human effect on Tundra region
12. Problems in Tundra region and
13. solution of tundra region.
habitats of different animals, how they survive in those habitats mainly discussing 4 main habitats desert, Arctic, Ocean and Rain forest. Also have suggest written task to be assigned to students, with online game links, quizzes and videos
Implementing and learning from nutrition-sensitive fish agri-food systems, e....WorldFish
Worldfish: Nutrition Sensitive Fish Agri-Food Systems Workshop, presented by Absalom Sakala, Principal Environment Management Officer, Ministry of Water Development, Sanitation and Environmental Protection
habitats of different animals, how they survive in those habitats mainly discussing 4 main habitats desert, Arctic, Ocean and Rain forest. Also have suggest written task to be assigned to students, with online game links, quizzes and videos
Implementing and learning from nutrition-sensitive fish agri-food systems, e....WorldFish
Worldfish: Nutrition Sensitive Fish Agri-Food Systems Workshop, presented by Absalom Sakala, Principal Environment Management Officer, Ministry of Water Development, Sanitation and Environmental Protection
This presentation is on ocean acidification, it covers
(1) a background on ocean acidification,
(2) the chemistry between carbon dioxide & the ocean
(3) Impact of Ocean acidification on biological processes and the ecosystems.
(4) and finally some mitigation measures
I hope this ppt be useful & helpful to people working on this topic :)
Enjoy
This slide is having many ecological topics starting from the meaning of ecology, adaptation, habitat and NIche, energy flow, pyramids, productivity, nutrient cycle and transfer efficiency.
This Presentation covers the Decision-making process in three parts as
2.1Decision Making- Buying Motives, Buying Roles, Definition, Types of decisions
2.2Consumer Decision Making, Implications for a Marketer, Compensatory and Non-compensatory decision rules
2.3 Levels of Decision making- (i) Extensive problem solving (EPS) (ii) Limited problem solving (LPS) (iii) Routinized problem solving (RPS) or routinized response behavior.
Mechanism of Inhalation and exhalation, Respiration in other animals-cockroach, earthworm, frog, fish , whales and dolphins, respiration in plants, exchange of gases in plants
valencies, criss-cross method to find chemical formulae, formula unit mass, gram atomic mass, gram molecular mass, gram formula unit mass , mole concept, formulae
Atoms, molecules, Daltons symbols of the element, Modern symbols of elements, Atomic mass and the atomic mass unit, molecules of an element and molecules of compounds
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
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.
Richard's entangled aventures in wonderlandRichard 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.
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 increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
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.
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
1. LEARNING GOALS VIDEO : II
• TERRESTRIAL HABITAT
• ACCLIMATISATION
• AQUATIC HABITAT
• BIOTIC AND ABIOTIC
COMPONENTS
2. TERRESTRIAL HABITAT
• The land area where
the plants and animals
live are called
Terrestrial Habitat .
• Few examples are :
Forests , Grasslands ,
Mountain Area ,
Deserts , Coastal
Areas
3. ACCLIMATISATION
• There are some changes that can happen in an organism over a
short period of time to help them adjust in their surroundings .
These small changes that take place in the body of a single
organism over short periods, to overcome small problems due to
changes in the surroundings, are called Acclimatisation.
• These changes are different from the adaptations that take place
over thousands of years.
• E.g During acclimatization over a few days to weeks, the body produces
more red blood cells to counteract the lower oxygen saturation in blood in high
altitudes. Full adaptation to high altitude is achieved when the increase of red
blood cells reaches a plateau and stops.
4.
5. AQUATIC HABITAT
• The water area
where the plants
and Animals live
is called Aquatic
habitat .
• Ponds, swamps,
lakes, rivers and
oceans are some
examples of
aquatic habitats.
6. BIOTIC AND ABIOTIC COMPONENTS
• The living things such as plants and animals, in a habitat, are
called biotic components.
• Various non-living things such as rocks, soil, air and water in the
habitat constitute its abiotic components.
