This document presents information on sieve analysis, which is used to determine the grain size distribution of soils. Sieve analysis involves shaking a stack of sieves with different sized meshes to separate soil particles. Coarser particles are analyzed using larger sieves while finer particles use smaller sieves. The procedure involves weighing each sieve and pan before and after to determine the mass of soil retained. From this, the percentage of soil passing and retained on each sieve can be calculated. The distribution of grain sizes affects important engineering properties of soils like classification.
This document provides information on sieve analysis testing of soils based on IS 2720 Part 4. It discusses the objectives of classification of soils, coefficient of curvature, uniformity coefficient, and fineness modulus. It outlines applications in gradation of soils, mix design, and filter design. The theory section defines coefficients and formulas used. It describes the apparatus and sieves used and the procedure, precautions, observations, calculations, and results of the test. The goal is to characterize properties of a soil sample through separating particles by size.
This document summarizes procedures for sieve analysis, moisture content determination, and clay content determination for soils. Sieve analysis is used to assess particle size distribution and involves shaking a sample in a sieve stack with varying mesh sizes to separate particles by size. Moisture content is determined by drying a sample and measuring the weight loss. Clay content is measured by allowing particles to settle in water, with clay defined as particles finer than 20 microns that fail to settle within 10 minutes.
Astm designation c 136 for fine aggregatesMuhammad Ahmad
This document describes a test method for determining the particle size distribution of fine aggregates through sieve analysis. The test involves drying a sample, sieving it using a nested set of sieves, weighing the material retained on each sieve, and calculating the percentages passing and retained to obtain the gradation. The results are used to determine compliance with specifications and provide data for controlling aggregate production and mixtures. The method is not applicable to materials finer than 75 microns.
Astm designation c 136 for coarse aggregatesMuhammad Ahmad
Sieve Analysis for Coarse Aggregate as per ASTM. Slides contain all the relevant data and steps that would be required for the performance of sieve analysis of coarse aggregates.
Gradation of fine aggregate by sieve analysisMuhammad Saleem
1. This document summarizes a student's laboratory experiment analyzing the gradation of fine aggregate through sieve analysis.
2. Sieve analysis involves separating a dried aggregate sample through a series of sieves to determine the particle size distribution, which is then compared to specifications.
3. The student's results found the fineness modulus of 3.35 for the tested aggregate sample, which is outside the specified range of 2.2-3.2, indicating the aggregate did not meet specifications.
1) The document describes a test conducted to determine the fineness of cement. Fineness is an important property that affects the rate of hydration and strength development.
2) The test involves sieving 100g samples of cement through a 90 micrometer sieve. The weight of residue retained on the sieve is measured and used to calculate the percentage fineness.
3) The results of tests on three cement samples showed average fineness of 94.07%, indicating good quality cement. Proper procedure and precautions were followed to ensure accurate results.
The document contains numbers and text feedback to responses. It provides the numbers 8, 5, 10, 3 followed by the text "Try Again!" then "Good Job!". In summary, it gives numerical values and positive/negative textual feedback to an unknown response.
This document presents information on sieve analysis, which is used to determine the grain size distribution of soils. Sieve analysis involves shaking a stack of sieves with different sized meshes to separate soil particles. Coarser particles are analyzed using larger sieves while finer particles use smaller sieves. The procedure involves weighing each sieve and pan before and after to determine the mass of soil retained. From this, the percentage of soil passing and retained on each sieve can be calculated. The distribution of grain sizes affects important engineering properties of soils like classification.
This document provides information on sieve analysis testing of soils based on IS 2720 Part 4. It discusses the objectives of classification of soils, coefficient of curvature, uniformity coefficient, and fineness modulus. It outlines applications in gradation of soils, mix design, and filter design. The theory section defines coefficients and formulas used. It describes the apparatus and sieves used and the procedure, precautions, observations, calculations, and results of the test. The goal is to characterize properties of a soil sample through separating particles by size.
This document summarizes procedures for sieve analysis, moisture content determination, and clay content determination for soils. Sieve analysis is used to assess particle size distribution and involves shaking a sample in a sieve stack with varying mesh sizes to separate particles by size. Moisture content is determined by drying a sample and measuring the weight loss. Clay content is measured by allowing particles to settle in water, with clay defined as particles finer than 20 microns that fail to settle within 10 minutes.
Astm designation c 136 for fine aggregatesMuhammad Ahmad
This document describes a test method for determining the particle size distribution of fine aggregates through sieve analysis. The test involves drying a sample, sieving it using a nested set of sieves, weighing the material retained on each sieve, and calculating the percentages passing and retained to obtain the gradation. The results are used to determine compliance with specifications and provide data for controlling aggregate production and mixtures. The method is not applicable to materials finer than 75 microns.
Astm designation c 136 for coarse aggregatesMuhammad Ahmad
Sieve Analysis for Coarse Aggregate as per ASTM. Slides contain all the relevant data and steps that would be required for the performance of sieve analysis of coarse aggregates.
Gradation of fine aggregate by sieve analysisMuhammad Saleem
1. This document summarizes a student's laboratory experiment analyzing the gradation of fine aggregate through sieve analysis.
2. Sieve analysis involves separating a dried aggregate sample through a series of sieves to determine the particle size distribution, which is then compared to specifications.
3. The student's results found the fineness modulus of 3.35 for the tested aggregate sample, which is outside the specified range of 2.2-3.2, indicating the aggregate did not meet specifications.
1) The document describes a test conducted to determine the fineness of cement. Fineness is an important property that affects the rate of hydration and strength development.
2) The test involves sieving 100g samples of cement through a 90 micrometer sieve. The weight of residue retained on the sieve is measured and used to calculate the percentage fineness.
3) The results of tests on three cement samples showed average fineness of 94.07%, indicating good quality cement. Proper procedure and precautions were followed to ensure accurate results.
The document contains numbers and text feedback to responses. It provides the numbers 8, 5, 10, 3 followed by the text "Try Again!" then "Good Job!". In summary, it gives numerical values and positive/negative textual feedback to an unknown response.
This document provides procedures for conducting normal consistency, set time, compressive strength, tensile strength, and flexural strength tests on cement paste and mortar samples. It defines key terms and outlines the steps to prepare and test samples using a Vicat apparatus and universal testing machine. The results from 7-day compressive strength tests on cement mortar cubes met the ASTM C52 specification of 83.6 psi. Running additional tests at 1, 3, and 28 days would have shown how strength increases over time.
The task requires transporting a glass marble between points A and B over a distance of 4.5m using a maximum of 3m of connected pipes with at least one right and left bend. Teams must keep the ball in continuous motion without touching it and restart if any rules are broken, with their distance increased to 5m if demonstrating ineffective teamwork.
This document describes a test performed to determine the setting time of hydraulic cement using a Vicat needle apparatus. The initial setting time is defined as the time when the needle cannot penetrate more than 25mm into the cement paste. The final setting time is when the 5mm needle leaves no visible impression. The test involves mixing cement and water, then taking penetration measurements with the needles over time. The initial setting time for the sample tested was calculated to be 82.5 minutes, which meets the Iraqi specification of no less than 45 minutes.
1. The document describes a test to determine the standard consistency of cement paste, which is required for other cement tests and is between 26-33% water by mass of dry cement.
2. The test involves mixing cement and varying amounts of water (25, 30, 35% of cement mass) and measuring how far a 10mm plunger penetrates the paste, with 5±1mm indicating standard consistency.
3. Temperature and humidity can affect the test results, so the lab conditions are controlled at 20±2°C and 50% relative humidity minimum.
The document provides details on laboratory tests performed on cement and aggregates to determine their quality parameters. It describes procedures for determining the compressive strength, fineness, and setting time of cement. It also outlines tests to find the water absorption, impact value, abrasion value, flakiness index, and elongation index of aggregates used in construction. The tests are conducted according to Indian standards and provide important information about the strength and properties of materials used.
The document provides specifications and standard data for various civil engineering materials and construction mixes. It includes design mixes for M10, M20, M25, M30, M35, M40, M45, and M50 concrete with the quantities of cement, aggregate, sand and water. It also provides weights of reinforcement materials, formulas, tolerances, curing times, test procedures, quantities required for various construction works, density of materials, water cement ratios and other reference information for civil engineering works.
This document provides information on sieve analysis testing of soils based on IS 2720 Part 4. It discusses the objectives of classification of soils, coefficient of curvature, uniformity coefficient, and fineness modulus. Sieve analysis is used to determine gradation of soils, mix design proportions, and filter design. The test involves sieving soil samples through a series of sieves and weighing the material retained on each sieve. Calculations are made to determine coefficients and fineness modulus.
Screen analysis is used to measure the size of particles between 3-0.0015 inches. A stack of screens with decreasing mesh sizes is shaken for 20 minutes to separate particles by size. The mass retained on each screen is measured and converted to mass percentages. Sieve trays and different mesh screens allow separation of particles into size fractions for analysis. The Peclet number is a dimensionless number used in heat transfer calculations that depends on factors like velocity, heat capacity, and thermal conductivity.
1. The objective of the experiment is to determine the grain size distribution of a soil sample using sieves and comparing the results to BS 410 standards.
2. The procedure involves sieving soil samples through a series of sieves with decreasing pore sizes, weighing the material retained on each sieve, and calculating the percentage retained and passing through each sieve.
3. The results show the weight and percentage retained and passing for each sieve size. A distribution curve is analyzed and compared to grading standards to evaluate the quality of the soil sample.
Site Investigation and Example of Soil SamplingJoana Bain
The document provides information on various soil testing methods conducted as part of a site investigation study. It discusses procedures for collecting undisturbed and disturbed soil samples, and conducting tests such as grain size analysis, Atterberg limits tests, relative density tests, and compaction tests. The purpose of the site investigation and specific laboratory tests are explained. Sample collection and testing is performed to obtain properties of the soil and understand its suitability for construction purposes.
This document provides information about sieve analysis and hydrometer analysis for determining the grain size distribution of soils. Sieve analysis is used to analyze the distribution of gravel and sand size particles, while hydrometer analysis is used for silt and clay size particles too small to be analyzed by sieves. The document describes the basic procedures and equipment used for each type of analysis, including stacking sieves of decreasing size and agitating soil-water suspensions to measure particle sedimentation rates. Combined sieve and hydrometer analysis can determine the full grain size distribution of soils containing particles of various sizes.
This document provides procedures for preparing soil and soil aggregate samples for various tests, including:
- Drying the sample and breaking up aggregations without reducing grain size
- Separating the sample using sieves into fractions for particle size analysis, physical tests, and moisture-density relations tests
- Obtaining representative portions of each fraction for testing through proportional splitting or quartering
- Specific requirements for sample sizes and preparation for particle size analysis, physical tests, specific gravity tests, and moisture-density relations tests
This document describes procedures for sieve analysis of aggregates. Sieve analysis involves passing aggregate samples through a series of sieves to determine the distribution of particle sizes. The key steps are:
1. Obtaining a representative sample and reducing it to the appropriate test size.
2. Separating the sample using sieves into coarse (>10 sieve) and fine (<10 sieve) fractions.
3. Weighing the material retained on each sieve to determine the particle size distribution, expressed as a percentage passing each sieve size.
Calibration of mechanical shakers used in the analysis is also described to ensure an adequate sieving time that retains less than 0.5% of material on any sieve during subsequent hand
This document provides instructions for performing a sieve analysis test to determine the particle size distribution of fine aggregates or sand. The key steps include: 1) preparing a representative sample, 2) arranging sieves in order of decreasing size, 3) sieving the sample and weighing the material retained on each sieve, 4) calculating the percentage retained, cumulative percentage retained, and cumulative percentage passing through each sieve. The results are used to evaluate whether the sand is well graded or poorly graded and to calculate metrics like the uniformity coefficient.
This presentation covers the topic of particle size classification, dry sieve analysis, wet sieve analysis, sedimentation analysis, stokes law, methods of sedimentation analysis, Indian Standard Soil classification system.
Properties and testing procedure of woven fabricsagor saha
1. The document discusses various properties and testing procedures for woven fabrics, including pilling, crease, neps, stiffness, shrinkage, air permeability, abrasion resistance, weight, color fastness, and others.
2. Testing is done to determine quality, support research, raw material selection, process and product control/development, and more. Standardized procedures involve specific apparatuses and measure properties according to established principles.
3. Examples of testing procedures provided include the pilling test using a pilling box tester, crease recovery using a Shirley tester, neps counting using a metal plate over card sliver, and abrasion resistance using a Martindale abrasion tester. Precautions for
what things are visible which instruments are used, what are the major functions of the instrument used and which is the best technique used by the scientific officer to compare whether two soil samples are from same area or different area.
This document describes a particle size analysis method for soils using sieving. It provides objectives, scope, standards, required equipment and materials, sample preparation procedures, test procedures, and calculations for determining the particle size distribution of a soil sample. The test involves drying the sample, separating it using a series of sieves, weighing the material retained on each sieve, and calculating the particle size distribution by percentage. Graphs of the results classify the soil as poorly graded coarse soil based on its coefficient of uniformity and curvature.
Power point presentation on motorized sieve analysis gutatti
Motorized sieve shakers are devices that shake particles to separate pure particles from mixtures. They help separate fine and course grains and assess particle size distribution. The key parts are sieves, a vibrator, induction motor and gear. It aims to expose samples to all sieve openings to save time and increase accuracy in determining aggregate size. Some benefits are eliminating human error, being durable, and allowing analysis of various aggregate ranges. Common applications include chemical processes, civil infrastructure, education, and transport. The procedure involves arranging sieves in the shaker and sieving for 5-10 minutes to separate particles by size. Results are presented in graphs of percentage passing versus sieve size.
Sampling,extraction and identification of plant parasitic nematodes PPN'sFrancis Matu
This document provides information on sampling, extracting, and identifying plant-parasitic nematodes (PPNs). It discusses the importance of sampling and outlines appropriate tools and methods for taking representative soil and root samples from fields. Extraction methods are described for separating nematodes from soil and plant materials, including tray, sieving, and centrifugal-flotation techniques. The goal is to extract nematodes while removing debris for clear identification of PPNs present. Proper sampling, extraction, and identification are necessary to determine appropriate nematode control measures.
This document provides procedures for conducting normal consistency, set time, compressive strength, tensile strength, and flexural strength tests on cement paste and mortar samples. It defines key terms and outlines the steps to prepare and test samples using a Vicat apparatus and universal testing machine. The results from 7-day compressive strength tests on cement mortar cubes met the ASTM C52 specification of 83.6 psi. Running additional tests at 1, 3, and 28 days would have shown how strength increases over time.
The task requires transporting a glass marble between points A and B over a distance of 4.5m using a maximum of 3m of connected pipes with at least one right and left bend. Teams must keep the ball in continuous motion without touching it and restart if any rules are broken, with their distance increased to 5m if demonstrating ineffective teamwork.
This document describes a test performed to determine the setting time of hydraulic cement using a Vicat needle apparatus. The initial setting time is defined as the time when the needle cannot penetrate more than 25mm into the cement paste. The final setting time is when the 5mm needle leaves no visible impression. The test involves mixing cement and water, then taking penetration measurements with the needles over time. The initial setting time for the sample tested was calculated to be 82.5 minutes, which meets the Iraqi specification of no less than 45 minutes.
1. The document describes a test to determine the standard consistency of cement paste, which is required for other cement tests and is between 26-33% water by mass of dry cement.
2. The test involves mixing cement and varying amounts of water (25, 30, 35% of cement mass) and measuring how far a 10mm plunger penetrates the paste, with 5±1mm indicating standard consistency.
3. Temperature and humidity can affect the test results, so the lab conditions are controlled at 20±2°C and 50% relative humidity minimum.
The document provides details on laboratory tests performed on cement and aggregates to determine their quality parameters. It describes procedures for determining the compressive strength, fineness, and setting time of cement. It also outlines tests to find the water absorption, impact value, abrasion value, flakiness index, and elongation index of aggregates used in construction. The tests are conducted according to Indian standards and provide important information about the strength and properties of materials used.
The document provides specifications and standard data for various civil engineering materials and construction mixes. It includes design mixes for M10, M20, M25, M30, M35, M40, M45, and M50 concrete with the quantities of cement, aggregate, sand and water. It also provides weights of reinforcement materials, formulas, tolerances, curing times, test procedures, quantities required for various construction works, density of materials, water cement ratios and other reference information for civil engineering works.
This document provides information on sieve analysis testing of soils based on IS 2720 Part 4. It discusses the objectives of classification of soils, coefficient of curvature, uniformity coefficient, and fineness modulus. Sieve analysis is used to determine gradation of soils, mix design proportions, and filter design. The test involves sieving soil samples through a series of sieves and weighing the material retained on each sieve. Calculations are made to determine coefficients and fineness modulus.
Screen analysis is used to measure the size of particles between 3-0.0015 inches. A stack of screens with decreasing mesh sizes is shaken for 20 minutes to separate particles by size. The mass retained on each screen is measured and converted to mass percentages. Sieve trays and different mesh screens allow separation of particles into size fractions for analysis. The Peclet number is a dimensionless number used in heat transfer calculations that depends on factors like velocity, heat capacity, and thermal conductivity.
1. The objective of the experiment is to determine the grain size distribution of a soil sample using sieves and comparing the results to BS 410 standards.
2. The procedure involves sieving soil samples through a series of sieves with decreasing pore sizes, weighing the material retained on each sieve, and calculating the percentage retained and passing through each sieve.
3. The results show the weight and percentage retained and passing for each sieve size. A distribution curve is analyzed and compared to grading standards to evaluate the quality of the soil sample.
Site Investigation and Example of Soil SamplingJoana Bain
The document provides information on various soil testing methods conducted as part of a site investigation study. It discusses procedures for collecting undisturbed and disturbed soil samples, and conducting tests such as grain size analysis, Atterberg limits tests, relative density tests, and compaction tests. The purpose of the site investigation and specific laboratory tests are explained. Sample collection and testing is performed to obtain properties of the soil and understand its suitability for construction purposes.
This document provides information about sieve analysis and hydrometer analysis for determining the grain size distribution of soils. Sieve analysis is used to analyze the distribution of gravel and sand size particles, while hydrometer analysis is used for silt and clay size particles too small to be analyzed by sieves. The document describes the basic procedures and equipment used for each type of analysis, including stacking sieves of decreasing size and agitating soil-water suspensions to measure particle sedimentation rates. Combined sieve and hydrometer analysis can determine the full grain size distribution of soils containing particles of various sizes.
This document provides procedures for preparing soil and soil aggregate samples for various tests, including:
- Drying the sample and breaking up aggregations without reducing grain size
- Separating the sample using sieves into fractions for particle size analysis, physical tests, and moisture-density relations tests
- Obtaining representative portions of each fraction for testing through proportional splitting or quartering
- Specific requirements for sample sizes and preparation for particle size analysis, physical tests, specific gravity tests, and moisture-density relations tests
This document describes procedures for sieve analysis of aggregates. Sieve analysis involves passing aggregate samples through a series of sieves to determine the distribution of particle sizes. The key steps are:
1. Obtaining a representative sample and reducing it to the appropriate test size.
2. Separating the sample using sieves into coarse (>10 sieve) and fine (<10 sieve) fractions.
3. Weighing the material retained on each sieve to determine the particle size distribution, expressed as a percentage passing each sieve size.
Calibration of mechanical shakers used in the analysis is also described to ensure an adequate sieving time that retains less than 0.5% of material on any sieve during subsequent hand
This document provides instructions for performing a sieve analysis test to determine the particle size distribution of fine aggregates or sand. The key steps include: 1) preparing a representative sample, 2) arranging sieves in order of decreasing size, 3) sieving the sample and weighing the material retained on each sieve, 4) calculating the percentage retained, cumulative percentage retained, and cumulative percentage passing through each sieve. The results are used to evaluate whether the sand is well graded or poorly graded and to calculate metrics like the uniformity coefficient.
This presentation covers the topic of particle size classification, dry sieve analysis, wet sieve analysis, sedimentation analysis, stokes law, methods of sedimentation analysis, Indian Standard Soil classification system.
Properties and testing procedure of woven fabricsagor saha
1. The document discusses various properties and testing procedures for woven fabrics, including pilling, crease, neps, stiffness, shrinkage, air permeability, abrasion resistance, weight, color fastness, and others.
2. Testing is done to determine quality, support research, raw material selection, process and product control/development, and more. Standardized procedures involve specific apparatuses and measure properties according to established principles.
3. Examples of testing procedures provided include the pilling test using a pilling box tester, crease recovery using a Shirley tester, neps counting using a metal plate over card sliver, and abrasion resistance using a Martindale abrasion tester. Precautions for
what things are visible which instruments are used, what are the major functions of the instrument used and which is the best technique used by the scientific officer to compare whether two soil samples are from same area or different area.
This document describes a particle size analysis method for soils using sieving. It provides objectives, scope, standards, required equipment and materials, sample preparation procedures, test procedures, and calculations for determining the particle size distribution of a soil sample. The test involves drying the sample, separating it using a series of sieves, weighing the material retained on each sieve, and calculating the particle size distribution by percentage. Graphs of the results classify the soil as poorly graded coarse soil based on its coefficient of uniformity and curvature.
Power point presentation on motorized sieve analysis gutatti
Motorized sieve shakers are devices that shake particles to separate pure particles from mixtures. They help separate fine and course grains and assess particle size distribution. The key parts are sieves, a vibrator, induction motor and gear. It aims to expose samples to all sieve openings to save time and increase accuracy in determining aggregate size. Some benefits are eliminating human error, being durable, and allowing analysis of various aggregate ranges. Common applications include chemical processes, civil infrastructure, education, and transport. The procedure involves arranging sieves in the shaker and sieving for 5-10 minutes to separate particles by size. Results are presented in graphs of percentage passing versus sieve size.
Sampling,extraction and identification of plant parasitic nematodes PPN'sFrancis Matu
This document provides information on sampling, extracting, and identifying plant-parasitic nematodes (PPNs). It discusses the importance of sampling and outlines appropriate tools and methods for taking representative soil and root samples from fields. Extraction methods are described for separating nematodes from soil and plant materials, including tray, sieving, and centrifugal-flotation techniques. The goal is to extract nematodes while removing debris for clear identification of PPNs present. Proper sampling, extraction, and identification are necessary to determine appropriate nematode control measures.
This document discusses size separation techniques used to separate particles of different sizes. Size separation, also known as sieving or screening, is important to obtain particles of a narrow size range or uniform particle size. It improves properties like mixing, flow, and suspension stability. Common mechanisms of size separation include agitation (oscillation, vibration, gyration), brushing, and centrifugal forces. Standard sieves made of woven wire or mesh are used to separate particles according to their ability to pass through openings of different sizes. Instruments like sieve shakers, cyclones, air separators, and filter bags can be employed for size separation in pharmaceutical applications.
Sowing involves placing seeds in soil at a proper depth and spacing. Common sowing methods include broadcasting, dibbling, drilling, and transplanting. Seed drills are machines that open furrows, place seeds at a controlled depth and rate, and cover them. Planters are used for larger seeds and perform similar functions. Components include a hopper, metering device, furrow opener, and covering mechanism. Planters can be calibrated to achieve the desired seeding rate. Factors like plate speed, cell size, and seed uniformity impact accuracy. Specialized planters exist for crops like potatoes and sugarcane. Proper equipment selection and operation help ensure efficient sowing and establishment of crops.
This document provides information on soil sampling and analysis. It discusses three learning outcomes: preparing for soil sampling, determining soil characteristics through sampling, and interpreting soil analysis results. Key points covered include selecting sampling tools, identifying homogeneous soil types, sampling methods, determining physical properties like texture, structure, color, and calculating values like bulk density and porosity. The document aims to guide students in properly conducting soil sampling and analysis.
The standard penetration test (SPT) involves driving a split spoon sampler into the ground using a 140 lb hammer dropped 30 inches. The number of blows required to penetrate each 6 inch interval is recorded, and the penetration resistance value N is the sum of the blows over the second and third intervals. This test is commonly used to obtain bearing capacity and estimate soil properties like density and shear strength. It is performed whenever the soil stratum changes and at intervals of no more than 1.5 meters.
The document describes the standard Proctor compaction test procedure. The test is used to determine the maximum dry density and optimum moisture content of soils. It involves compacting soil samples at incrementally increased moisture contents using a specified compaction method. A compaction curve is plotted showing the relationship between dry density and moisture content. The peak of the curve indicates the optimum moisture content and maximum dry density achieved for that soil. The test uses a cylindrical metal mold, rammer, balance, oven and other equipment to compact and analyze the soil samples according to steps that sieve, mix, compact and weigh the soil at different moistures.
The natural moisture content, also called the natural water content, is the ratio of the weight of water to the weight of solids in a mass of soil, usually expressed as a percentage. To determine this, a soil sample is weighed, dried in an oven between 105-110 degrees C for 16-24 hours, then weighed again. The loss in weight is the moisture evaporated and the natural moisture content can be calculated from the weights. Certain soils like peat or those containing gypsum require lower drying temperatures or longer drying times.
ACM, Real world everyday applications of computer science. History of Comp...Faizan Tanoli
ACM, (10 Points)
Real world everyday applications of computer science.
Software crises.
Information Technology.
History of Computers.
Generations of computers (Five Generations)
Field Report On Khewra Salt Mine | Report On Khewra Trip | Different Formatio...Faizan Tanoli
Field Report On Khewra Salt Mine | Report On Khewra Trip | Different Formations Of Salt Range Area | Geology | Earth Sciences | Paleontology | Stratigraphy
Lithology
Contacts
Soil properties include color, texture, humus, and structure. Color is influenced by mineral content, organic matter, iron, and moisture. It can provide insights into the soil environment. Common colors like white, red, brown, and black indicate different compositions. Texture refers to particle size of sand, silt, and clay. Soil structures include blocky, platy, massive, prismatic, and granular forms. Humus is dark organic matter that provides nutrients and helps retain water. It influences soil color, with higher humus resulting in darker colors.
Phylum Mollusca
Five Classes Of Phylum Mollusca
Characteristics & Features Of Phylum Mollusca
Detail Presentation On Phylum Mollusca
Paleontology | Earth Sciences | Geology | Fossils Study | Biology
The Development Of Self |Psychology | Presentation | By: Faizan TanoliFaizan Tanoli
This document discusses the development of self from infancy through adulthood. It notes that infants begin to develop a basic sense of self around 8 months when they experience separation distress from caregivers. Between 18-24 months, most children can recognize their reflection in a mirror. During the preschool years, children understand themselves based on observable traits, but have unrealistically positive self-evaluations. Through school-age and adolescence, the self-concept becomes more complex and integrated as abstract thinking develops, though adolescents may be preoccupied with how others see them. By late adolescence/early adulthood, the conception of self is usually more coherent and internally defined.
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.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
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/
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
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.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
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.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
2. GrainSizeAnalysis
Introduction:
• The grain size distribution of any soil can be
determined using the grain size analysis, also called
mechanical analysis. The basic method of mechanical
analysis is to sieve the soil through a set of sieves of
standard opening size.
• Sieve analysis can be used only for the mechanical
analysis of gravel and sand as the smallest sieve size
available is 75 nm (0.075 mm).
• To determine the grain size distribution of silt and clay
and hence to get the grain size distribution for the
complete particle size range in soils, sedimentation
analysis is carried out.
• It also determines rather the soil is well graded or
poorly graded.
4. GrainSizeAnalysis
Apparatus:
1. Two set of sieves:
• Set1: IS sieves of size 300mm, 80mm,
40mm, 20mm, 10mm, 4.75mm
• Set 2 : IS sieves of size
2mm,0.85mm,0.425mm,0.15mm,0.075m
m
2. Mechanical Shaker
3. Brush
4. Oven
5. Weigh balance
5. GrainSizeAnalysis
Procedure:
1. Clean the sieves of sieve shaker using cleaning brush if any particles are struck
in the openings.
2. Record the weight of each sieve and receiving pan.
3. Dry the specimen in oven for 3-4 minutes to get the dried specimen (ignore, if
the specimen is already dried).
4. Weigh the specimen and record its weight.
5. Arrange the sieves in order as the smaller openings sieve to the last and larger
openings sieve to the top. (Simply, arrange them to the ascending order of
sieve numbers – No.4 sieve on top and no.200 sieve at bottom)-
6. GrainSizeAnalysis
6. Keep the weight recorded specimen on the top sieve and then keep
the complete sieve stack on the sieve shaker (Don’t forget to keep
the lid and receiving pan).
7. Allow the shaker to work 10-5 minutes – use the clock here..!
8. Remove the sieve stack from the shaker and record the weight of
each sieve and receiving pan separately.
Procedure: