"The Aloha House Story: Serving the Community Through Agricultural Extension"
Agricultural Extension is a great tool for the development worker who wants to impact their community while minimising risk to the small hold farmer and back yard producer. Aloha House started as an orphanage for children in crises and now also is working with families and single parents. Healthy food production is an integral component and the organic farm grew out of that desire. As interest grew and trainings were undertaken, ECHO Technical notes were key to fast tracking the success and profitability of our farm. Join us on this adventure as Keith highlights some of their successes and failures in this 15 year adventure.
Keith Mikkelson is the Executive Director of Aloha House inc., an NGO founded with his wife to help Philippine families. Aloha House is an orphanage located on an organic farm that produces food for the children, staff and customers in Puerto Princesa City, Palawan, Philippines. Keith's book A Natural Farming System for Sustainable Agriculture in the Tropics has sold over 5,000 copies.
PART 2: Alternative building techniques- we use on site materials to keep costs low, clay subsoil, 50% rice hull for high R walls, which requires a stabiliser. Pneumatic tampers can work also, moist clay and sand become in effect sandstone, no stabiliser needed, but less insulation.
Aquaponic applications for the small farm are becoming all the rage, but how can it truly produce profitably? You need a complete system that supplies it's own feed that is mercury free, soy free, GMO free.
This is how we built our local-fired-clay-bricked-wood-fired-domed-Italian-pizza oven step by step. Get the bricks first! Enjoy! We baked 2x per week for the orphanage and our customers. Sour dough, whole wheat french bread, pan de sal, bagels and pizza galore. We also roast free range chicken, Peking duck, turkey, pork ribs and beef. As the bricks retain heat for days we also dry moringa for our capsuled products as well as artemesia, mint teas and other medicinals.
"The Aloha House Story: Serving the Community Through Agricultural Extension"
Agricultural Extension is a great tool for the development worker who wants to impact their community while minimising risk to the small hold farmer and back yard producer. Aloha House started as an orphanage for children in crises and now also is working with families and single parents. Healthy food production is an integral component and the organic farm grew out of that desire. As interest grew and trainings were undertaken, ECHO Technical notes were key to fast tracking the success and profitability of our farm. Join us on this adventure as Keith highlights some of their successes and failures in this 15 year adventure.
Keith Mikkelson is the Executive Director of Aloha House inc., an NGO founded with his wife to help Philippine families. Aloha House is an orphanage located on an organic farm that produces food for the children, staff and customers in Puerto Princesa City, Palawan, Philippines. Keith's book A Natural Farming System for Sustainable Agriculture in the Tropics has sold over 5,000 copies.
PART 2: Alternative building techniques- we use on site materials to keep costs low, clay subsoil, 50% rice hull for high R walls, which requires a stabiliser. Pneumatic tampers can work also, moist clay and sand become in effect sandstone, no stabiliser needed, but less insulation.
Aquaponic applications for the small farm are becoming all the rage, but how can it truly produce profitably? You need a complete system that supplies it's own feed that is mercury free, soy free, GMO free.
This is how we built our local-fired-clay-bricked-wood-fired-domed-Italian-pizza oven step by step. Get the bricks first! Enjoy! We baked 2x per week for the orphanage and our customers. Sour dough, whole wheat french bread, pan de sal, bagels and pizza galore. We also roast free range chicken, Peking duck, turkey, pork ribs and beef. As the bricks retain heat for days we also dry moringa for our capsuled products as well as artemesia, mint teas and other medicinals.
PART 1: Alternative building techniques- we use on site materials to keep costs low, sand or subsoil, 50% rice hull for high R walls, which requires a stabiliser. Pneumatic tampers can work also, moist clay and sand become in effect sandstone, no stabiliser needed, but less insulation.
PART 1: Alternative building techniques- we use on site materials to keep costs low, sand or subsoil, 50% rice hull for high R walls, which requires a stabiliser. Pneumatic tampers can work also, moist clay and sand become in effect sandstone, no stabiliser needed, but less insulation.
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.
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.
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.
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/
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.
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.
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.