The document discusses choosing appropriate statistical tests for analyzing medical research studies. It provides an overview of commonly used statistical tests such as the t-test, chi-square test, Fisher's exact test, analysis of variance, and Wilcoxon rank sum test. The document outlines the key factors to consider when selecting a statistical test, such as the scale of measurement (continuous, categorical, binary) and study design (paired or unpaired). Algorithms and tables are provided to help readers identify the proper statistical test based on these characteristics.
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization and analysis. The document discusses MATLAB's applications in areas like signal processing, image analysis, financial modeling and more. It also outlines the MATLAB product family and highlights features like its large library of functions, excellent visualization capabilities and widespread use in academia and industry. The document concludes with sample problems to test skills in MATLAB programming and mathematics.
1) The document discusses commonly used statistical tests in research such as descriptive statistics, inferential statistics, hypothesis testing, and tests like t-tests, ANOVA, chi-square tests, and normal distributions.
2) It provides examples of how to determine sample sizes needed for adequate power in hypothesis testing and how to perform t-tests to analyze sample means.
3) Key statistical concepts covered include parameters, statistics, measurement scales, type I and II errors, and interpreting results of hypothesis tests.
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization and analysis. The document discusses MATLAB's applications in areas like signal processing, image analysis, financial modeling and more. It also outlines the MATLAB product family and highlights features like its large library of functions, excellent visualization capabilities and widespread use in academia and industry. The document concludes with sample problems to test skills in MATLAB programming and mathematics.
This document describes how to perform a chi-square test to determine if two genes are independently assorting or linked. It explains that for a two-point testcross of a heterozygote individual, you expect a 25% ratio for each of the four possible offspring genotypes if the genes are independent. The chi-square test compares observed vs. expected offspring ratios. It notes that the standard test assumes equal segregation of alleles, which may not always be true.
The document discusses choosing appropriate statistical tests for analyzing medical research studies. It provides an overview of commonly used statistical tests such as the t-test, chi-square test, Fisher's exact test, analysis of variance, and Wilcoxon rank sum test. The document outlines the key factors to consider when selecting a statistical test, such as the scale of measurement (continuous, categorical, binary) and study design (paired or unpaired). Algorithms and tables are provided to help readers identify the proper statistical test based on these characteristics.
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization and analysis. The document discusses MATLAB's applications in areas like signal processing, image analysis, financial modeling and more. It also outlines the MATLAB product family and highlights features like its large library of functions, excellent visualization capabilities and widespread use in academia and industry. The document concludes with sample problems to test skills in MATLAB programming and mathematics.
1) The document discusses commonly used statistical tests in research such as descriptive statistics, inferential statistics, hypothesis testing, and tests like t-tests, ANOVA, chi-square tests, and normal distributions.
2) It provides examples of how to determine sample sizes needed for adequate power in hypothesis testing and how to perform t-tests to analyze sample means.
3) Key statistical concepts covered include parameters, statistics, measurement scales, type I and II errors, and interpreting results of hypothesis tests.
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization and analysis. The document discusses MATLAB's applications in areas like signal processing, image analysis, financial modeling and more. It also outlines the MATLAB product family and highlights features like its large library of functions, excellent visualization capabilities and widespread use in academia and industry. The document concludes with sample problems to test skills in MATLAB programming and mathematics.
This document describes how to perform a chi-square test to determine if two genes are independently assorting or linked. It explains that for a two-point testcross of a heterozygote individual, you expect a 25% ratio for each of the four possible offspring genotypes if the genes are independent. The chi-square test compares observed vs. expected offspring ratios. It notes that the standard test assumes equal segregation of alleles, which may not always be true.
Choosing appropriate statistical test RSS6 2104RSS6
This document discusses choosing appropriate statistical tests based on study design and data type. It covers descriptive studies that measure prevalence and incidence, as well as analytic studies like randomized controlled trials, cohort studies, and case-control studies. For data type, it discusses approaches for continuous and categorical variables, including t-tests, ANOVA, chi-square tests, and regression. It also discusses measures of disease frequency, effect, and impact like risk difference, risk ratio, and odds ratio.
The document discusses various study designs used in epidemiology. Descriptive studies involve systematically collecting and presenting data to describe a situation, such as case reports and case series. Analytical studies attempt to establish causes or risk factors by comparing groups with and without an outcome. Observational analytical studies include cross-sectional, case-control and cohort studies. Experimental studies randomly assign individuals to intervention and control groups to test interventions. Measures of association used include relative risk, odds ratio and attributable risk, which quantify the strength of relationships between exposures and outcomes.
The document discusses different study designs used in research, including observational studies like case reports, case series, cross-sectional studies, and cohort studies, as well as experimental studies like randomized controlled trials. It describes the key characteristics and advantages and disadvantages of each design. The highest level of evidence comes from randomized controlled trials, while observational studies are useful for initial hypothesis generation.
The document defines and discusses hypotheses in research contexts. It provides that a hypothesis is a formal, testable statement of the expected relationship between independent and dependent variables. The document outlines several definitions of a hypothesis provided by authors and discusses the key characteristics of a good hypothesis. It also differentiates between different types of hypotheses such as universal, existential, null, alternate, non-directional, directional, and research hypotheses. The purpose, components, and process of hypothesis making and testing are described.
The document discusses hypotheses in research. It defines a hypothesis as a tentative statement about the relationship between two or more variables. Hypotheses help translate research problems into clear predictions and guide investigation. They provide objectivity, direction for data collection, and goals for researchers. Well-stated hypotheses are testable, consistent with existing knowledge, and help establish a link between theory and empirical research. Different types of hypotheses, such as simple, complex, associative, causal, directional, and null hypotheses are described. Sources for developing hypotheses include theoretical frameworks, previous research findings, literature, and experiences.
This document provides an overview of hypothesis testing in inferential statistics. It defines a hypothesis as a statement or assumption about relationships between variables or tentative explanations for events. There are two main types of hypotheses: the null hypothesis (H0), which is the default position that is tested, and the alternative hypothesis (Ha or H1). Steps in hypothesis testing include establishing the null and alternative hypotheses, selecting a suitable test of significance or test statistic based on sample characteristics, formulating a decision rule to either accept or reject the null hypothesis based on where the test statistic value falls, and understanding the potential for errors. Key criteria for constructing hypotheses and selecting appropriate statistical tests are also outlined.
Hypothesis is usually considered as the principal instrument in research and quality control. Its main function is to suggest new experiments and observations. In fact, many experiments are carried out with the deliberate object of testing hypothesis. Decision makers often face situations wherein they are interested in testing hypothesis on the basis of available information and then take decisions on the basis of such testing. In Six –Sigma methodology, hypothesis testing is a tool of substance and used in analysis phase of the six sigma project so that improvement can be done in right direction
This document provides an overview of hypotheses for a presentation. It begins with learning outcomes which are to explain the meaning and significance of hypotheses, identify types of hypotheses, and illustrate why hypotheses are needed.
The presentation will cover the scientific method, meaning and types of variables, characteristics of good hypotheses, categories of hypotheses including null and alternative, and how to form and test hypotheses. Hypotheses are defined as educated guesses that relate variables and guide research. They must be testable, falsifiable, and contribute to theory. Hypotheses can be categorized by their formulation as null or alternative, by direction as directional or non-directional, and by their derivation as inductive or deductive.
This document discusses different study designs used in research. It defines a study design as a specific plan for conducting a study that allows the investigator to translate a conceptual hypothesis into an operational one. The document outlines different types of study designs including descriptive studies, analytical observational studies like cross-sectional studies, case-control studies, and cohort studies, as well as experimental/interventional studies. For each study design, it provides details on the unit of study, study question, direction of inquiry, and key aspects of the design.
This document discusses research hypotheses. It defines a hypothesis as a tentative, testable statement about the relationship between two or more variables. A hypothesis helps translate research problems into clear predictions about expected outcomes. Hypotheses are derived from literature reviews and conceptual frameworks. The main types discussed are research hypotheses, null hypotheses, and testable hypotheses. Research hypotheses make predictions, while null hypotheses predict no relationship. Testable hypotheses involve measurable variables. Variables are also discussed, including independent, dependent, extraneous, and demographic variables. Assumptions and limitations of research are briefly covered.
This document provides a summary of a study evaluating the pavement condition of a 2 km long, two-lane asphalt road located at Al-Zaytoonah University in Jordan. The researchers divided the road into sections and samples to conduct a visual survey to determine pavement distresses, their severity and quantity. Using this data, they calculated the Pavement Condition Index (PCI) for each sample and section. Their analysis found the main causes of distresses were climate change and heavy vehicle loads. Comparing PCI scores from previous years showed deterioration over time. The researchers provided recommendations for repair methods based on distress type and severity.
The document describes the layers of a conventional flexible pavement, including:
1. The surface course is the top asphalt layer that must withstand wear from traffic.
2. Beneath is the binder course, which can be thicker than the surface course and uses larger aggregates.
3. Below are additional layers like the base course, subbase course, and compacted subgrade, with the subgrade being the native soil.
4. These layered systems use better materials at the top and inferior materials at the bottom to efficiently distribute loads to the subgrade.
The document summarizes the structure and composition of the Earth. It is composed of four main layers - the inner core, outer core, mantle, and crust. The inner core is solid iron and nickel with extremely high temperatures. The outer core is liquid and generates the Earth's magnetic field. The mantle is hot, dense rock that drives plate tectonics. Earthquakes primarily occur at the boundaries of tectonic plates in the crust. The structure and layers of the Earth play an important role in shaping the planet.
Groundwater is water found underground in soil and rock formations. It is stored and moves slowly through aquifers, which are geologic formations containing porous rock or sediment. Less than 1% of the total water on Earth is groundwater, yet it amounts to 40 times more water than all freshwater lakes and streams combined. Groundwater is replenished by rainfall and flows very slowly through the subsurface, influenced by surface topography. The water table marks the upper boundary of saturated groundwater and determines the depth at which wells can access this resource. Groundwater is a crucial source of fresh water for drinking and agriculture.
This document provides an overview of structural geology. It discusses key topics including rock formations, plate tectonics, faults and folds, unconformities, mountain building, the geologic time scale, deformation, geological maps, geological resources and hazards, environmental geology, and practical applications of structural geology in civil engineering.
Construction materials play a crucial role in modern infrastructure projects by providing strength, durability, and ensuring structural integrity. Some key construction materials discussed include concrete, widely used for its compressive strength; asphalt, used in road construction; and cement, an essential binder that increases load-bearing capacity. Proper selection of construction materials considers technical requirements, environmental conditions, and cost to balance quality with sustainability and affordability. These materials are critical components for building safe and long-lasting structures.
Chemical weathering is the breakdown of rocks and minerals through chemical reactions with the environment, such as water, air, and organisms. It is influenced by many factors like temperature, climate, surface area exposure, and the presence of water and plants. Chemical weathering breaks down rocks into smaller particles, forms new minerals, and alters chemical compositions through processes like hydrolysis, oxidation, and ion exchange. It shapes landscapes over thousands of years and influences soil and water resources.
Structural geology deals with the deformation and stress of rocks and the resulting structural features. It is important for understanding crustal deformation, tectonic processes, and the forces that cause rock deformation. Structural geology has applications in exploration for natural resources by mapping structures like faults and folds that can trap oil, gas, and minerals. It also aids in design of underground mines and tunnels by providing insight into rock deformation properties and structural features. The field draws from geology, physics, mathematics and engineering to study 3D geometry of structures and deformation mechanisms.
Igneous rocks form when magma or lava cools and solidifies. There are two main types of igneous rocks: extrusive rocks, which form on the Earth's surface from lava, and intrusive rocks, which form underground from cooling magma. Igneous rocks are found in locations with volcanoes and provide information about the conditions under which they formed based on their particle size and mineral composition. Examples like granite and basalt are used in construction for buildings, decorations, and monuments.
Weathering is the natural breakdown of rocks and other materials due to environmental factors like water, wind, temperature changes, and biological processes. There are three main types of weathering: mechanical, chemical, and biological. Mechanical weathering breaks rocks down physically through processes like frost wedging and abrasion without changing the chemical composition. Chemical weathering alters the rocks through chemical reactions like oxidation. Biological weathering occurs when organisms break down materials. Overall, weathering shapes the Earth's surface over time by forming soil, sedimentary rocks, and geological features.
Earthquakes are caused by a sudden release of built-up energy in the Earth's crust. Tectonic plate interactions can cause plates to bend and slip past each other, releasing this stored energy in the form of seismic waves. The Richter scale is used to measure earthquake magnitude based on the amplitude of seismic waves, with each increase of one unit representing a 32-fold increase in energy. Tsunamis are large sea waves generated by earthquakes that cause vertical displacement of the ocean floor. Jordan experiences low to moderate seismic activity due to its location near the boundary of the Arabian and African tectonic plates.
This document provides an overview of metamorphic rocks, including the different types, processes of formation, environments in which they form, mineral composition, uses, and examples of famous formations. It discusses the main types of metamorphic rocks such as slate, schist, gneiss, marble and quartzite. The key processes that cause metamorphism are heat, pressure and chemical reactions. Metamorphic grade indicates the intensity of metamorphism. Common uses include building materials and decorative stones. The Appalachian Mountains and Scottish Highlands contain examples of regionally metamorphosed rocks.
Choosing appropriate statistical test RSS6 2104RSS6
This document discusses choosing appropriate statistical tests based on study design and data type. It covers descriptive studies that measure prevalence and incidence, as well as analytic studies like randomized controlled trials, cohort studies, and case-control studies. For data type, it discusses approaches for continuous and categorical variables, including t-tests, ANOVA, chi-square tests, and regression. It also discusses measures of disease frequency, effect, and impact like risk difference, risk ratio, and odds ratio.
The document discusses various study designs used in epidemiology. Descriptive studies involve systematically collecting and presenting data to describe a situation, such as case reports and case series. Analytical studies attempt to establish causes or risk factors by comparing groups with and without an outcome. Observational analytical studies include cross-sectional, case-control and cohort studies. Experimental studies randomly assign individuals to intervention and control groups to test interventions. Measures of association used include relative risk, odds ratio and attributable risk, which quantify the strength of relationships between exposures and outcomes.
The document discusses different study designs used in research, including observational studies like case reports, case series, cross-sectional studies, and cohort studies, as well as experimental studies like randomized controlled trials. It describes the key characteristics and advantages and disadvantages of each design. The highest level of evidence comes from randomized controlled trials, while observational studies are useful for initial hypothesis generation.
The document defines and discusses hypotheses in research contexts. It provides that a hypothesis is a formal, testable statement of the expected relationship between independent and dependent variables. The document outlines several definitions of a hypothesis provided by authors and discusses the key characteristics of a good hypothesis. It also differentiates between different types of hypotheses such as universal, existential, null, alternate, non-directional, directional, and research hypotheses. The purpose, components, and process of hypothesis making and testing are described.
The document discusses hypotheses in research. It defines a hypothesis as a tentative statement about the relationship between two or more variables. Hypotheses help translate research problems into clear predictions and guide investigation. They provide objectivity, direction for data collection, and goals for researchers. Well-stated hypotheses are testable, consistent with existing knowledge, and help establish a link between theory and empirical research. Different types of hypotheses, such as simple, complex, associative, causal, directional, and null hypotheses are described. Sources for developing hypotheses include theoretical frameworks, previous research findings, literature, and experiences.
This document provides an overview of hypothesis testing in inferential statistics. It defines a hypothesis as a statement or assumption about relationships between variables or tentative explanations for events. There are two main types of hypotheses: the null hypothesis (H0), which is the default position that is tested, and the alternative hypothesis (Ha or H1). Steps in hypothesis testing include establishing the null and alternative hypotheses, selecting a suitable test of significance or test statistic based on sample characteristics, formulating a decision rule to either accept or reject the null hypothesis based on where the test statistic value falls, and understanding the potential for errors. Key criteria for constructing hypotheses and selecting appropriate statistical tests are also outlined.
Hypothesis is usually considered as the principal instrument in research and quality control. Its main function is to suggest new experiments and observations. In fact, many experiments are carried out with the deliberate object of testing hypothesis. Decision makers often face situations wherein they are interested in testing hypothesis on the basis of available information and then take decisions on the basis of such testing. In Six –Sigma methodology, hypothesis testing is a tool of substance and used in analysis phase of the six sigma project so that improvement can be done in right direction
This document provides an overview of hypotheses for a presentation. It begins with learning outcomes which are to explain the meaning and significance of hypotheses, identify types of hypotheses, and illustrate why hypotheses are needed.
The presentation will cover the scientific method, meaning and types of variables, characteristics of good hypotheses, categories of hypotheses including null and alternative, and how to form and test hypotheses. Hypotheses are defined as educated guesses that relate variables and guide research. They must be testable, falsifiable, and contribute to theory. Hypotheses can be categorized by their formulation as null or alternative, by direction as directional or non-directional, and by their derivation as inductive or deductive.
This document discusses different study designs used in research. It defines a study design as a specific plan for conducting a study that allows the investigator to translate a conceptual hypothesis into an operational one. The document outlines different types of study designs including descriptive studies, analytical observational studies like cross-sectional studies, case-control studies, and cohort studies, as well as experimental/interventional studies. For each study design, it provides details on the unit of study, study question, direction of inquiry, and key aspects of the design.
This document discusses research hypotheses. It defines a hypothesis as a tentative, testable statement about the relationship between two or more variables. A hypothesis helps translate research problems into clear predictions about expected outcomes. Hypotheses are derived from literature reviews and conceptual frameworks. The main types discussed are research hypotheses, null hypotheses, and testable hypotheses. Research hypotheses make predictions, while null hypotheses predict no relationship. Testable hypotheses involve measurable variables. Variables are also discussed, including independent, dependent, extraneous, and demographic variables. Assumptions and limitations of research are briefly covered.
This document provides a summary of a study evaluating the pavement condition of a 2 km long, two-lane asphalt road located at Al-Zaytoonah University in Jordan. The researchers divided the road into sections and samples to conduct a visual survey to determine pavement distresses, their severity and quantity. Using this data, they calculated the Pavement Condition Index (PCI) for each sample and section. Their analysis found the main causes of distresses were climate change and heavy vehicle loads. Comparing PCI scores from previous years showed deterioration over time. The researchers provided recommendations for repair methods based on distress type and severity.
The document describes the layers of a conventional flexible pavement, including:
1. The surface course is the top asphalt layer that must withstand wear from traffic.
2. Beneath is the binder course, which can be thicker than the surface course and uses larger aggregates.
3. Below are additional layers like the base course, subbase course, and compacted subgrade, with the subgrade being the native soil.
4. These layered systems use better materials at the top and inferior materials at the bottom to efficiently distribute loads to the subgrade.
The document summarizes the structure and composition of the Earth. It is composed of four main layers - the inner core, outer core, mantle, and crust. The inner core is solid iron and nickel with extremely high temperatures. The outer core is liquid and generates the Earth's magnetic field. The mantle is hot, dense rock that drives plate tectonics. Earthquakes primarily occur at the boundaries of tectonic plates in the crust. The structure and layers of the Earth play an important role in shaping the planet.
Groundwater is water found underground in soil and rock formations. It is stored and moves slowly through aquifers, which are geologic formations containing porous rock or sediment. Less than 1% of the total water on Earth is groundwater, yet it amounts to 40 times more water than all freshwater lakes and streams combined. Groundwater is replenished by rainfall and flows very slowly through the subsurface, influenced by surface topography. The water table marks the upper boundary of saturated groundwater and determines the depth at which wells can access this resource. Groundwater is a crucial source of fresh water for drinking and agriculture.
This document provides an overview of structural geology. It discusses key topics including rock formations, plate tectonics, faults and folds, unconformities, mountain building, the geologic time scale, deformation, geological maps, geological resources and hazards, environmental geology, and practical applications of structural geology in civil engineering.
Construction materials play a crucial role in modern infrastructure projects by providing strength, durability, and ensuring structural integrity. Some key construction materials discussed include concrete, widely used for its compressive strength; asphalt, used in road construction; and cement, an essential binder that increases load-bearing capacity. Proper selection of construction materials considers technical requirements, environmental conditions, and cost to balance quality with sustainability and affordability. These materials are critical components for building safe and long-lasting structures.
Chemical weathering is the breakdown of rocks and minerals through chemical reactions with the environment, such as water, air, and organisms. It is influenced by many factors like temperature, climate, surface area exposure, and the presence of water and plants. Chemical weathering breaks down rocks into smaller particles, forms new minerals, and alters chemical compositions through processes like hydrolysis, oxidation, and ion exchange. It shapes landscapes over thousands of years and influences soil and water resources.
Structural geology deals with the deformation and stress of rocks and the resulting structural features. It is important for understanding crustal deformation, tectonic processes, and the forces that cause rock deformation. Structural geology has applications in exploration for natural resources by mapping structures like faults and folds that can trap oil, gas, and minerals. It also aids in design of underground mines and tunnels by providing insight into rock deformation properties and structural features. The field draws from geology, physics, mathematics and engineering to study 3D geometry of structures and deformation mechanisms.
Igneous rocks form when magma or lava cools and solidifies. There are two main types of igneous rocks: extrusive rocks, which form on the Earth's surface from lava, and intrusive rocks, which form underground from cooling magma. Igneous rocks are found in locations with volcanoes and provide information about the conditions under which they formed based on their particle size and mineral composition. Examples like granite and basalt are used in construction for buildings, decorations, and monuments.
Weathering is the natural breakdown of rocks and other materials due to environmental factors like water, wind, temperature changes, and biological processes. There are three main types of weathering: mechanical, chemical, and biological. Mechanical weathering breaks rocks down physically through processes like frost wedging and abrasion without changing the chemical composition. Chemical weathering alters the rocks through chemical reactions like oxidation. Biological weathering occurs when organisms break down materials. Overall, weathering shapes the Earth's surface over time by forming soil, sedimentary rocks, and geological features.
Earthquakes are caused by a sudden release of built-up energy in the Earth's crust. Tectonic plate interactions can cause plates to bend and slip past each other, releasing this stored energy in the form of seismic waves. The Richter scale is used to measure earthquake magnitude based on the amplitude of seismic waves, with each increase of one unit representing a 32-fold increase in energy. Tsunamis are large sea waves generated by earthquakes that cause vertical displacement of the ocean floor. Jordan experiences low to moderate seismic activity due to its location near the boundary of the Arabian and African tectonic plates.
This document provides an overview of metamorphic rocks, including the different types, processes of formation, environments in which they form, mineral composition, uses, and examples of famous formations. It discusses the main types of metamorphic rocks such as slate, schist, gneiss, marble and quartzite. The key processes that cause metamorphism are heat, pressure and chemical reactions. Metamorphic grade indicates the intensity of metamorphism. Common uses include building materials and decorative stones. The Appalachian Mountains and Scottish Highlands contain examples of regionally metamorphosed rocks.
Earth Structure, Minerals In Earth, Physical Properties Of Minerals Akram Suleiman
This document discusses earth structure and minerals. It begins by describing the four major spheres that make up Earth's structure - the hydrosphere, atmosphere, biosphere, and geosphere. It then provides details on each sphere, including their composition and role. The document also discusses minerals, describing their physical properties like color, streak and hardness that are used to identify different mineral types. It explains how minerals are used in industries like construction and their importance to engineering applications like building materials.
This document summarizes soil formation, types, and composition. It defines soil and lists the main factors that affect soil formation: climate, original rock materials, organisms, topography, and time. Soil types are then described based on thickness (thick or shallow), development stage (young, mature, old), and particle size (sand, clay, silt, peat, chalk, loam). Each soil type is defined in terms of composition, properties like drainage and nutrients, and common locations. The stages of soil formation from rock weathering to a mature soil are also outlined.
This document discusses earthquakes, including what causes them, different types, measurement scales, effects, and safety tips. Earthquakes are caused by the movement of tectonic plates and can range from unnoticeable to extremely powerful. There are three main types - tectonic, volcanic, and explosions. They are measured on the Richter scale and can damage buildings/infrastructure, trigger landslides/tsunamis, and lead to liquefaction. Safety tips during an earthquake include dropping, covering, and holding on until shaking stops. Earthquake engineering aims to make structures more resistant to seismic activity.
Metamorphic rocks form from existing igneous, sedimentary, or other metamorphic rocks when they are subjected to high heat, pressure, fluids, or a combination of these deep within the earth or at tectonic plate boundaries. The process of metamorphism transforms rocks into more compact and denser varieties with new minerals formed through rearrangement or chemical reactions. Metamorphic rocks make up a large portion of the earth's crust and studying them provides insight into deep temperatures and pressures within the earth.
Subsurface investigation is an essential preliminary step for any civil engineering project to understand subsurface conditions. It involves sampling and examining subsurface materials like soil and rock to provide data for design recommendations. The investigation process includes planning explorations, executing them using techniques like boreholes and test pits, laboratory testing of samples, and reporting findings with descriptions, test results, analyses, and recommendations. The stages are reconnaissance, data collection, in-depth investigation, and laboratory testing to characterize subsurface conditions like bearing capacity. This informs foundation selection and predicts issues like settlement.
This report summarizes a highway maintenance project for roads in the Nazzal Area near Al-Hayat Hospital in Amman, Jordan. Samples from 23 sections totaling 37 samples were examined for distresses including cracking, patching, potholes, and others. Distress types, severity and quantities were documented along with proposed repair methods. Pavement condition index values were calculated for each section, with most ranging from good to excellent condition. The report concludes with recommendations for repairing the few sections with PCI values below 80.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
PyData London 2024: Mistakes were made (Dr. Rebecca Bilbro)Rebecca Bilbro
To honor ten years of PyData London, join Dr. Rebecca Bilbro as she takes us back in time to reflect on a little over ten years working as a data scientist. One of the many renegade PhDs who joined the fledgling field of data science of the 2010's, Rebecca will share lessons learned the hard way, often from watching data science projects go sideways and learning to fix broken things. Through the lens of these canon events, she'll identify some of the anti-patterns and red flags she's learned to steer around.
06-18-2024-Princeton Meetup-Introduction to MilvusTimothy Spann
06-18-2024-Princeton Meetup-Introduction to Milvus
tim.spann@zilliz.com
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Read my Newsletter every week!
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For more cool Unstructured Data, AI and Vector Database videos check out the Milvus vector database videos here
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Expand LLMs' knowledge by incorporating external data sources into LLMs and your AI applications.
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.