1. Photosynthesis and cellular respiration are opposing reactions. Photosynthesis uses carbon dioxide, water, and sunlight to produce glucose and oxygen, while cellular respiration breaks down glucose and oxygen to produce carbon dioxide and water.
2. Cellular respiration can occur aerobically, using oxygen to produce the most ATP, or anaerobically through fermentation when oxygen is absent. Glycolysis is the only process that occurs in both aerobic and anaerobic cellular respiration.
3. The electron transport chain produces the most ATP and requires oxygen, so it only occurs during aerobic cellular respiration. Glycolysis and fermentation occur in the cytoplasm, while the Krebs cycle and electron transport chain occur in the mitochondria
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
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.
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.
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.
Phenomics assisted breeding in crop improvementIshaGoswami9
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.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
2. Thermodynamics recap
• Energy is neither created nor destroyed, it only changes forms!
• Each transfer of energy leads to a little more being unusable!
Takeaway: Every time you eat and convert food energy to cellular
energy, some energy is lost as heat to the universe (increasing entropy)
• This allows our cells to remain organized
3. Photosynthesis recap
• How plants convert energy from the sun to food energy (glucose) in
chloroplasts
• Light-dependent reactions take place in the thylakoid
• Make the necessary ingredients for the light-independent reactions!
• Light-independent reactions take place in the stroma
• Make simple sugars like glucose!
CO2 + H2O C6H12O6 + O2
sunlight
Carbon dioxide + water glucose (sugar) + oxygen
4. thermodynamics
If energy is cycled
between producers and
other organisms, can
you make a prediction
on what the equation
for cellular respiration
would be?
5. Cellular respiration
• Photosynthesis is how plants make their own food (glucose).
• This is why they are called autotrophs!
• How do other organisms get their food?
• Consuming other organisms!
• Why do we even need food?
• Energy is needed to produce work. Work is
anything that an organism does! If we are even
just sitting or sleeping, an organism is doing
work.
• Our cells can’t use the food as it comes, it
must convert it into usable energy. Cellular
energy is ATP
6. ATP
• Adenosine Triphosphate
• Adenine (nitrogenous base)
• Ribose (sugar)
• 3 phosphate groups
• The phosphate groups are unstable
• Energy is stored in the bonds between phosphates
• The 2 end phosphates are easily broken off
• When the bonds are broken, energy is released
• ADP plus Pi is formed and this is recycled to produce more ATP
7. ATP
• ATP is the most important energy molecule needed for survival
• Used for daily function of the cell
• All the chemical reactions in the cell are called its metabolism
8. Cellular respiration
• Cellular respiration (aerobic) and fermentation
(anaerobic) oxidize (removes electrons from) glucose
and convert this chemical energy into ATP
ATP
Sugar
Glycolysis
Anaerobic
Respiration
(Fermentation)
Aerobic
Respiration
ATP
ATP
ATP
ATP
9. glycolysis
• 1st step in aerobic cellular respiration or
fermentation
• Occurs in ALL cell types (including plants and
bacteria)
• 10 reactions
• 2 ATP molecules
• Occurs in the cytoplasm
• Next step varies depending on the presence of
oxygen
Sugar
Glycolysis ATP
10. Aerobic Cellular respiration
• WITH Oxygen
• Most efficient way to produce ATP
• Can produce 38 ATP from each glucose molecule!
• Chemical equation:
• C6H12O6 + O2 CO2 + H2O + ATP
• 3 stages
• Glycolysis (2 ATP)
• Occurs in the cytoplasm
• Kreb’s cycle (2 ATP)
• Occurs in the mitochondria
• CO2 is a waste product
• Electron transport chain (34 ATP)
• Occurs in the mitochondria
• H2O is a waste product
Sugar
Glycolysis
Aerobic
Respiration
ATP
ATP
ATP
ATP
11. Fermentation (Anaerobic respiration)
• WITHOUT Oxygen: Anaerobic respiration
• Glycolysis
• Fermentation
• Occurs in the cytoplasm like glycolysis
• Produces 2 ATP per glucose molecule
• 2 Types of fermentation
• Alcoholic
• Yeast and bacteria
• Ethanol and CO2 are byproducts
• Lactic acid
• Muscle cells (during strenuous exercise – oxygen debt)
• Lactic acid is a byproduct
Sugar
Glycolysis
Anaerobic
Respiration
(Fermentation)
ATP
ATP
13. Photosynthesis and Cellular respiration
• OPPOSING REACTIONS!
• Photosynthesis
• Carbon dioxide plus water yields (in the presence of
sunlight) glucose plus oxygen
• CO2 + H2O C6H12O6 + O2
• Cellular respiration
• Glucose plus Oxygen plus ATP yields Carbon Dioxide
plus Water
• C6H12O6 + O2 CO2 + H2O
sunlight