R = R0(1 + α(t - 20))
- The resistance (R) of a copper wire is calculated using a formula that relates it to the resistance at 20°C (R0), the coefficient of resistance (α), and the temperature (t).
- R0 is given as 6Ω with an uncertainty of ±0.3%.
- To determine the uncertainty in R, the uncertainties in R0, α, and t must be determined and propagated through the equation using partial derivatives.
- The overall uncertainty in R combines the individual uncertainties from each variable according to the propagation of uncertainty formula.
Ch3_Statistical Analysis and Random Error Estimation.pdfVamshi962726
Here are the steps to solve this example:
(a) Compute the sample statistics:
Mean (x̅) = (Σxi)/n = (56.13)/10 = 5.613 cm
Standard deviation (s) = √[(Σ(xi - x̅)2)/(n-1)] = 0.6266 cm
(b) The interval over which 95% of measurements should lie is:
x̅ ± t0.025,9s = 5.613 ± 2.262(0.6266) = 5.613 ± 1.417 cm
(c) The estimated true mean value at 95% probability is:
μx = x
This document discusses various methods for measuring fluid flow, including positive displacement meters and flow obstruction meters. Positive displacement meters have high accuracy but require clean fluids. Common positive displacement meters described are the nutating disk meter, rotary vane meter, and lobed impeller meter. Flow obstruction meters use a pressure drop measurement to determine flow rate. Common obstruction meters discussed are the Venturi meter, orifice plate, and flow nozzle. Empirical equations are provided for calculating flow rate using these various meter types. Examples are included to demonstrate flow rate calculations.
Lecture 1 Chapter 1 Introduction to OR.pdfVamshi962726
This document provides information about an Operations Research course. It includes:
1) General course information such as the instructor's name and contact details, course credits, prerequisites, textbook, and course description.
2) An overview of topics to be covered including modeling with linear programming, the simplex method, transportation models, and network models.
3) Course objectives, expectations for written assignments, class rules, policies on attendance and cell phone use, and the course assessment breakdown.
4) A description of the course project involving application of the cutting stock problem to a real-life setting.
5) An introduction to operations research including its origins, applications, approach involving defining problems and constructing mathematical models
- Chapter II of the Mechanics of Materials textbook covers stress and strain under axial loading. It discusses basic theory of axial deformation, statically determinate and indeterminate structures, and thermal effects on axial deformation.
- Stress-strain diagrams are presented, showing the linear elastic region below the yield point, as well as plastic deformation regions. Hooke's law relates stress and strain through Young's modulus.
- Structures can be statically indeterminate if they have more supports than required for equilibrium. Internal forces are found using compatibility of deformations considering the structure as deformable.
This document provides an overview of stress analysis concepts. It begins with a review of static equilibrium conditions for external loads, support reactions, and internal forces. Stress is introduced as the internal force per unit area from an applied load. Normal stress arises from axial loads on a section cut perpendicular to the member axis. Shear stress results from transverse loads on a section normal to the member axis. Maximum stresses occur under specific loading conditions. Stress is also defined on oblique planes cut through a member. Finally, the state of stress is described using stress components defined along three perpendicular axes.
This document discusses torsion and stress distribution in circular torsion bars. It begins with an introduction to torsional loads and deformation of circular bars. It then covers key topics like:
- Shear stress distribution varies linearly with distance from the axis for circular bars.
- Angle of twist is proportional to applied torque and bar length.
- Examples are provided to calculate minimum/maximum shear stresses, required diameters, and angles of twist using elastic torsion formulas.
This document summarizes key aspects of material requirements planning (MRP), including:
1) MRP uses a master production schedule, product structure, and item master file as inputs to plan production quantities and timing.
2) The MRP process involves exploding the master schedule, netting requirements, lot sizing to determine order quantities, and time-phasing to account for lead times.
3) Different lot sizing rules can be used, such as lot-for-lot, economic order quantity, or periodic order quantity, with the goal of minimizing total inventory holding and ordering costs.
R = R0(1 + α(t - 20))
- The resistance (R) of a copper wire is calculated using a formula that relates it to the resistance at 20°C (R0), the coefficient of resistance (α), and the temperature (t).
- R0 is given as 6Ω with an uncertainty of ±0.3%.
- To determine the uncertainty in R, the uncertainties in R0, α, and t must be determined and propagated through the equation using partial derivatives.
- The overall uncertainty in R combines the individual uncertainties from each variable according to the propagation of uncertainty formula.
Ch3_Statistical Analysis and Random Error Estimation.pdfVamshi962726
Here are the steps to solve this example:
(a) Compute the sample statistics:
Mean (x̅) = (Σxi)/n = (56.13)/10 = 5.613 cm
Standard deviation (s) = √[(Σ(xi - x̅)2)/(n-1)] = 0.6266 cm
(b) The interval over which 95% of measurements should lie is:
x̅ ± t0.025,9s = 5.613 ± 2.262(0.6266) = 5.613 ± 1.417 cm
(c) The estimated true mean value at 95% probability is:
μx = x
This document discusses various methods for measuring fluid flow, including positive displacement meters and flow obstruction meters. Positive displacement meters have high accuracy but require clean fluids. Common positive displacement meters described are the nutating disk meter, rotary vane meter, and lobed impeller meter. Flow obstruction meters use a pressure drop measurement to determine flow rate. Common obstruction meters discussed are the Venturi meter, orifice plate, and flow nozzle. Empirical equations are provided for calculating flow rate using these various meter types. Examples are included to demonstrate flow rate calculations.
Lecture 1 Chapter 1 Introduction to OR.pdfVamshi962726
This document provides information about an Operations Research course. It includes:
1) General course information such as the instructor's name and contact details, course credits, prerequisites, textbook, and course description.
2) An overview of topics to be covered including modeling with linear programming, the simplex method, transportation models, and network models.
3) Course objectives, expectations for written assignments, class rules, policies on attendance and cell phone use, and the course assessment breakdown.
4) A description of the course project involving application of the cutting stock problem to a real-life setting.
5) An introduction to operations research including its origins, applications, approach involving defining problems and constructing mathematical models
- Chapter II of the Mechanics of Materials textbook covers stress and strain under axial loading. It discusses basic theory of axial deformation, statically determinate and indeterminate structures, and thermal effects on axial deformation.
- Stress-strain diagrams are presented, showing the linear elastic region below the yield point, as well as plastic deformation regions. Hooke's law relates stress and strain through Young's modulus.
- Structures can be statically indeterminate if they have more supports than required for equilibrium. Internal forces are found using compatibility of deformations considering the structure as deformable.
This document provides an overview of stress analysis concepts. It begins with a review of static equilibrium conditions for external loads, support reactions, and internal forces. Stress is introduced as the internal force per unit area from an applied load. Normal stress arises from axial loads on a section cut perpendicular to the member axis. Shear stress results from transverse loads on a section normal to the member axis. Maximum stresses occur under specific loading conditions. Stress is also defined on oblique planes cut through a member. Finally, the state of stress is described using stress components defined along three perpendicular axes.
This document discusses torsion and stress distribution in circular torsion bars. It begins with an introduction to torsional loads and deformation of circular bars. It then covers key topics like:
- Shear stress distribution varies linearly with distance from the axis for circular bars.
- Angle of twist is proportional to applied torque and bar length.
- Examples are provided to calculate minimum/maximum shear stresses, required diameters, and angles of twist using elastic torsion formulas.
This document summarizes key aspects of material requirements planning (MRP), including:
1) MRP uses a master production schedule, product structure, and item master file as inputs to plan production quantities and timing.
2) The MRP process involves exploding the master schedule, netting requirements, lot sizing to determine order quantities, and time-phasing to account for lead times.
3) Different lot sizing rules can be used, such as lot-for-lot, economic order quantity, or periodic order quantity, with the goal of minimizing total inventory holding and ordering costs.
The document discusses key factors to consider when determining if a reservoir is suitable for waterflooding as a means of secondary oil recovery. It outlines several important reservoir characteristics, including geometry, fluid properties, depth, lithology, fluid saturations, uniformity, and primary driving mechanisms. Reservoirs with properties like high initial oil saturation, permeability, areal continuity of the oil zone, and insufficient natural water drive are most suitable candidates.
This document provides information about molecular biology concepts including:
- The structure and function of eukaryotic cells including organelles like the nucleus, nucleolus, and mitochondria.
- The differences between prokaryotic and eukaryotic cells.
- DNA structure, replication, and the role of DNA and RNA in cells.
- Other genetic elements like viruses, viroids and prions.
This document discusses air pollution concentration models, including fixed-box models and diffusion models. Fixed-box models assume a rectangular city shape and uniform pollutant mixing and concentration throughout. Diffusion models use a Gaussian plume approach to model pollutant dispersion from a point source like a smokestack. Both aim to predict ambient pollutant concentrations based on emission rates and meteorological conditions to inform pollution reduction efforts. The models make simplifying assumptions and have limitations but can be modified to better reflect reality.
This 495-word document discusses comparisons between two things. It does not contain any quotes, citations, or matches to other sources. The document examines a comparison but provides no details on the specific topics or areas being compared.
Well logs are obtained by lowering measuring tools into wells to record properties of rock formations. They provide a signature of physical characteristics like porosity, lithology, and fluid saturation. Common logs measure resistivity, spontaneous potential, gamma radiation, neutrons, sonic velocity, and nuclear magnetic resonance to interpret rock and fluid properties. Logs can be open or cased hole and employ natural or induced phenomena to characterize formations.
This document outlines a project analyzing the stresses on a solid body triceps machine. It includes an introduction, work plan, description of the materials used (carbon steel), free body diagrams, analysis of forces and stresses, calculation of maximum normal stress and factor of safety, and results. The maximum stress is found to be 104.1667 MPa from bending, and the factor of safety is calculated to be 2.64.
This document provides an overview of topics covered in a study guide for a biosignaling and gene regulation course. It includes summaries of key concepts and figures related to:
- Signal transduction pathways such as cAMP/PKA, G protein coupled receptors, insulin and JAK-STAT signaling.
- The basic structure and functions of nucleosomes, histone variants and chromatin remodeling complexes in gene expression regulation.
- Important elements and processes in the lytic and lysogenic cycles of bacteriophage lambda.
- Core concepts and techniques in recombinant DNA technology including restriction mapping, Southern blotting, oligonucleotide synthesis, chromosome walking, and use of yeast artificial chromosomes.
- Specialized biotechnology topics such
This document provides an overview of heat capacity and phase changes. It discusses how Joule demonstrated the equivalence between heat and work through experiments. Specific heat capacity is defined as the amount of thermal energy required to change the temperature of 1 kg of a substance by 1°C. Phase changes from solid to liquid to gas occur at constant temperatures due to the absorption of latent heat. The document provides values of specific heat capacities and latent heats of fusion and vaporization for various substances.
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
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.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
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/
The document discusses key factors to consider when determining if a reservoir is suitable for waterflooding as a means of secondary oil recovery. It outlines several important reservoir characteristics, including geometry, fluid properties, depth, lithology, fluid saturations, uniformity, and primary driving mechanisms. Reservoirs with properties like high initial oil saturation, permeability, areal continuity of the oil zone, and insufficient natural water drive are most suitable candidates.
This document provides information about molecular biology concepts including:
- The structure and function of eukaryotic cells including organelles like the nucleus, nucleolus, and mitochondria.
- The differences between prokaryotic and eukaryotic cells.
- DNA structure, replication, and the role of DNA and RNA in cells.
- Other genetic elements like viruses, viroids and prions.
This document discusses air pollution concentration models, including fixed-box models and diffusion models. Fixed-box models assume a rectangular city shape and uniform pollutant mixing and concentration throughout. Diffusion models use a Gaussian plume approach to model pollutant dispersion from a point source like a smokestack. Both aim to predict ambient pollutant concentrations based on emission rates and meteorological conditions to inform pollution reduction efforts. The models make simplifying assumptions and have limitations but can be modified to better reflect reality.
This 495-word document discusses comparisons between two things. It does not contain any quotes, citations, or matches to other sources. The document examines a comparison but provides no details on the specific topics or areas being compared.
Well logs are obtained by lowering measuring tools into wells to record properties of rock formations. They provide a signature of physical characteristics like porosity, lithology, and fluid saturation. Common logs measure resistivity, spontaneous potential, gamma radiation, neutrons, sonic velocity, and nuclear magnetic resonance to interpret rock and fluid properties. Logs can be open or cased hole and employ natural or induced phenomena to characterize formations.
This document outlines a project analyzing the stresses on a solid body triceps machine. It includes an introduction, work plan, description of the materials used (carbon steel), free body diagrams, analysis of forces and stresses, calculation of maximum normal stress and factor of safety, and results. The maximum stress is found to be 104.1667 MPa from bending, and the factor of safety is calculated to be 2.64.
This document provides an overview of topics covered in a study guide for a biosignaling and gene regulation course. It includes summaries of key concepts and figures related to:
- Signal transduction pathways such as cAMP/PKA, G protein coupled receptors, insulin and JAK-STAT signaling.
- The basic structure and functions of nucleosomes, histone variants and chromatin remodeling complexes in gene expression regulation.
- Important elements and processes in the lytic and lysogenic cycles of bacteriophage lambda.
- Core concepts and techniques in recombinant DNA technology including restriction mapping, Southern blotting, oligonucleotide synthesis, chromosome walking, and use of yeast artificial chromosomes.
- Specialized biotechnology topics such
This document provides an overview of heat capacity and phase changes. It discusses how Joule demonstrated the equivalence between heat and work through experiments. Specific heat capacity is defined as the amount of thermal energy required to change the temperature of 1 kg of a substance by 1°C. Phase changes from solid to liquid to gas occur at constant temperatures due to the absorption of latent heat. The document provides values of specific heat capacities and latent heats of fusion and vaporization for various substances.
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
Organic chemistry is the study of the structure, properties, composition, reactions, and preparation of carbon-containing compounds. Most organic compounds contain carbon and hydrogen, but they may also include any number of other elements (e.g., nitrogen, oxygen, halogens, phosphorus, silicon, sulfur).
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
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.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
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/
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.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
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.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
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/
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.