The document discusses various types of systems, including biological, mechanical, human/mechanical, ecological, social, and organizational systems. It provides examples of each type and notes some common characteristics of systems, such as having interdependent parts arranged in a specific way to achieve an overall purpose, responding to feedback to maintain stability, and changing over time in response to feedback. The document also discusses causal loop diagrams and archetypes that can be used as tools for systems thinking.
The document discusses key concepts in systems thinking including feedback loops, emergence, and open and closed systems perspectives. It provides examples of how these concepts can be applied to understand business organizations, describing an organization as a complex system with interacting parts that is more than the sum of its components. The behavior of an organization cannot always be predicted and is influenced by its environment through information and resource exchanges.
The document discusses the integration of computer science concepts into science. It provides the example of complex adaptive systems modeling, which uses models of complex systems to understand problems like climate change. Studying complex adaptive systems has become a scientific frontier that will profoundly impact various fields. It creates a unified method for studying disparate systems and elucidating how they operate. A complex system consists of many interacting elements whose emergent outcomes are difficult to predict from individual interactions alone. Studying topics through this framework can strengthen understanding.
Systems thinking examines how elements within a system influence each other and looks at relationships, patterns, and root causes rather than isolated problems. The iceberg model shows that most of an iceberg's mass is underwater and influences its above-water behavior, just as underlying factors greatly influence global issues. Stocks represent system conditions while flows are activities that change stock levels; intervening close to events has less leverage than addressing underlying factors. Mental models and assumptions must be challenged through tools like simulations to test theories and identify more effective solutions.
This document discusses several theories of motor control including reflex theory, hierarchical theory, dynamical systems theory, motor programming theory, system theory, and ecological theory. It provides details on the key aspects and proposals of each theory as well as examples and criticisms of each approach to understanding human movement and motor control.
The document discusses key concepts related to energy, equilibria, and feedback mechanisms in ecological systems. It defines the first and second laws of thermodynamics, explaining that energy is neither created nor destroyed, but can be converted to different forms. Systems can exist in stable or unstable equilibria between which there are tipping points driven by positive and negative feedback loops. Positive feedback amplifies changes while negative feedback contributes to stability. Tipping points occur when small changes cause large effects and a shift to a new equilibrium state.
This document discusses several theories relevant to nursing informatics including:
- General systems theory which views systems as interconnected parts that form a whole. Input, output, and feedback are key concepts.
- Change theory which outlines a three stage model of change: unfreezing, change, and refreezing. Driving and restraining forces influence equilibrium.
- Cognitive learning theory which explains learning through observation, reproduction of behaviors, and self-efficacy. Social cognitive theory incorporates behavioral, personal, and environmental factors.
- Novice to expert theory outlines five levels of skill acquisition from novice to expert based on pattern recognition and intuition over rules. Deliberate practice and risk-taking enable progression.
Jai Prathap Chenna provides an introduction to key concepts in systems thinking, including interconnectedness, synthesis, emergence, feedback loops, causality, and systems mapping. He explains that systems thinking requires shifting one's mindset from a linear to a circular perspective to understand that all elements in a system are interconnected. He outlines several examples and provides definitions for each of the six concepts to build a foundation for understanding complex systems through a holistic lens.
The document discusses key concepts in systems thinking including feedback loops, emergence, and open and closed systems perspectives. It provides examples of how these concepts can be applied to understand business organizations, describing an organization as a complex system with interacting parts that is more than the sum of its components. The behavior of an organization cannot always be predicted and is influenced by its environment through information and resource exchanges.
The document discusses the integration of computer science concepts into science. It provides the example of complex adaptive systems modeling, which uses models of complex systems to understand problems like climate change. Studying complex adaptive systems has become a scientific frontier that will profoundly impact various fields. It creates a unified method for studying disparate systems and elucidating how they operate. A complex system consists of many interacting elements whose emergent outcomes are difficult to predict from individual interactions alone. Studying topics through this framework can strengthen understanding.
Systems thinking examines how elements within a system influence each other and looks at relationships, patterns, and root causes rather than isolated problems. The iceberg model shows that most of an iceberg's mass is underwater and influences its above-water behavior, just as underlying factors greatly influence global issues. Stocks represent system conditions while flows are activities that change stock levels; intervening close to events has less leverage than addressing underlying factors. Mental models and assumptions must be challenged through tools like simulations to test theories and identify more effective solutions.
This document discusses several theories of motor control including reflex theory, hierarchical theory, dynamical systems theory, motor programming theory, system theory, and ecological theory. It provides details on the key aspects and proposals of each theory as well as examples and criticisms of each approach to understanding human movement and motor control.
The document discusses key concepts related to energy, equilibria, and feedback mechanisms in ecological systems. It defines the first and second laws of thermodynamics, explaining that energy is neither created nor destroyed, but can be converted to different forms. Systems can exist in stable or unstable equilibria between which there are tipping points driven by positive and negative feedback loops. Positive feedback amplifies changes while negative feedback contributes to stability. Tipping points occur when small changes cause large effects and a shift to a new equilibrium state.
This document discusses several theories relevant to nursing informatics including:
- General systems theory which views systems as interconnected parts that form a whole. Input, output, and feedback are key concepts.
- Change theory which outlines a three stage model of change: unfreezing, change, and refreezing. Driving and restraining forces influence equilibrium.
- Cognitive learning theory which explains learning through observation, reproduction of behaviors, and self-efficacy. Social cognitive theory incorporates behavioral, personal, and environmental factors.
- Novice to expert theory outlines five levels of skill acquisition from novice to expert based on pattern recognition and intuition over rules. Deliberate practice and risk-taking enable progression.
Jai Prathap Chenna provides an introduction to key concepts in systems thinking, including interconnectedness, synthesis, emergence, feedback loops, causality, and systems mapping. He explains that systems thinking requires shifting one's mindset from a linear to a circular perspective to understand that all elements in a system are interconnected. He outlines several examples and provides definitions for each of the six concepts to build a foundation for understanding complex systems through a holistic lens.
The document provides guidance on conducting and understanding a trend analysis for community planning. It outlines preparatory steps like identifying relevant data sources and variables. Key aspects of trend analysis are discussed, such as charting variables over time to identify patterns like reinforcing feedback loops. Common system archetypes that may underlie trends, like shifting the burden, are described. The goal is to help stakeholders explore topics and see linkages rather than conduct a scientific analysis.
ICPSR - Complex Systems Models in the Social Sciences - Lab Session 5 - Profe...Daniel Katz
This document discusses a study of starling flocks that found their behavior exhibits scale-free correlations. The researchers reconstructed the position and velocity of individual birds in large flocks and measured how correlated the velocity fluctuations were between different birds. They found the range of spatial correlation did not have a constant value but scaled with the size of the flock, indicating scale-free behavioral correlations. Scale-free correlations allow each bird's behavior to affect and be affected by all other birds in the group, providing an enhanced ability to collectively respond to environmental perturbations.
1. A system is a collection of interconnected elements that work together towards a common goal. A healthcare system can be analyzed using a systems approach that views it as having inputs, processes, outputs, and feedback.
2. Applying a systems approach to healthcare involves analyzing it across four levels - the individual patient, care teams, healthcare organizations, and the broader political/economic environment. This allows understanding how each component interacts and influences outcomes.
3. Adopting a systems approach in Bangladesh's healthcare would help move it from the current disorganized model to one with better coordination and synergies between different entities, leading to improved quality of care.
The document discusses operant conditioning and its four methods for modifying behavior: positive reinforcement, negative reinforcement, punishment, and response cost. It also describes the four schedules of reinforcement - continuous, fixed interval, variable interval, fixed ratio, and variable ratio - and the response patterns associated with each. Examples are given of how the different methods and schedules could be applied in a classroom setting.
Climate Change and Gaia Theory - a systems perspective with simulations Nov 2...Dennis Sherwood
This document explores climate change and Gaia theory from a systems perspective. It argues that man-made climate change poses a significant threat to humanity and the planet. Using systems diagrams, it shows how human activities like producing greenhouse gases interact with Gaia's self-organizing global feedback systems to drive climate change. If left unchecked, this could lead to a feedback loop that stabilizes the Earth's temperature by eliminating humanity. The wisest intervention may be developing large-scale technologies to directly extract greenhouse gases from the atmosphere.
1. Systems can exist in alternative stable states or equilibria, with tipping points between them driven by positive feedback mechanisms. Negative feedback maintains stability.
2. The laws of thermodynamics govern energy flow and work potential in systems. Energy is transferred but not created or destroyed, and entropy increases over time as available energy decreases.
3. Feedback loops can be positive and destabilizing, amplifying changes, or negative and stabilizing, reducing changes and maintaining equilibrium. Resilience allows systems to withstand disturbances without changing states.
The document discusses systems thinking and various systems concepts. It provides examples to illustrate key aspects of systems, including that (1) systems are made up of elements that interact and connect in relationships, (2) systems can be decomposed into subsystems but the subsystems are interrelated and influence each other, and (3) systems have boundaries but are also connected to and influence broader environments and other systems.
Systems theory views the world as a complex set of relationships between different components. There are two types of systems - open systems that interact with their environment and closed systems that do not. All systems generate feedback that can encourage or discourage change through positive and negative feedback loops. Most systems seek a steady state of equilibrium, but can also experience dynamic equilibrium involving gradual change over time. If too many pressures are placed on a system, it can suddenly tip into a new state of metastable equilibrium through abrupt change.
1. The system itself, not individual components, causes the behavior of the system. The interaction of elements in a system can self-generate phenomena through feedback loops.
2. There are two types of feedback loops: positive/reinforcing feedback which amplifies changes, and negative/balancing feedback which counteracts changes to maintain stability.
3. When both positive and negative feedback are present, it can lead to exponential growth, exponential decay, equilibrium, or oscillation depending on which type of feedback dominates.
Introduction to Systems Thinking: System Structures and BehaviourJason Yip
This document introduces some key concepts of systems thinking, including that a system is more than the sum of its parts, consisting of elements, interconnections, and a function or purpose. It provides examples of systems and describes stocks and flows, feedback loops, delays, and how to analyze a system. Interventions should focus more on changing interconnections, information flows, and incongruent purposes rather than just elements. The purpose is to help the reader apply a systems thinking perspective to analyze and improve their situation.
Systems thinking examines how elements within a system influence each other rather than reacting to individual problems. The iceberg model is a systems thinking model that views global issues as having observable events at the tip but being influenced by deeper patterns, structures, and mental models below the surface. Catching a cold, for example, can be addressed at the event level but the iceberg model pushes examining underlying patterns like frequent colds when tired, structures like a new stressful work policy, and mental models like prioritizing career over health.
This webinar focused on teaching systems thinking concepts and fostering systems thinking skills in students. It began with defining key systems terminology like reservoirs, fluxes, feedback loops, and different types of feedback loops. Participants learned how to read and interpret simple systems diagrams using an example of a bathtub system. They then practiced evaluating how well a systems diagram represented a more complex problem by adding elements to a diagram about wildfires in Minnesota. The webinar provided examples of InTeGrate teaching materials that incorporate systems thinking, like modeling population growth or the carbon cycle. It concluded by discussing additional ways to teach systems thinking and promoting upcoming related professional development opportunities.
This document provides an outline of key concepts in principles of science and systems. It defines science as a logical process for producing knowledge based on observation and testing. It discusses variables, experimental design, models, consensus and conflict in science. It also distinguishes environmental science from environmentalism.
Biology M3 Movement in plants and animalseLearningJa
This document provides information about plant and animal movements. It includes 4 lessons: 1) on plant movements including tropisms and nastic movements, 2) on movement in higher animals including locomotion and muscles, 3) on the human skeleton and its functions, and 4) on bones, joints, and antagonistic muscle pairs that enable human movement. The document contains diagrams, websites for videos, and learning objectives for each lesson.
Sydney Limited WIP Society presentation on "Systems Traps and Opportunities". Part of series introducing Systems Thinking based on Thinking in Systems by Donella Meadows
The document discusses various theories of learning including learning curves, classical conditioning, operant conditioning, and social learning theory. It provides details on key concepts for each theory such as unconditioned and conditioned stimuli/responses for classical conditioning and reinforcement, punishment, and different schedules of reinforcement for operant conditioning. Social learning theory emphasizes learning through observation and modeling.
Systems thinking views phenomena holistically as interrelated systems rather than unrelated objects. It considers systems at different levels and from multiple perspectives. The document discusses various types of time in systems thinking, including cyclic, linear, social, psychological, physical, imaginary, and spiral time. It also covers principles of systems thinking such as emergence, feedback, homeostasis, and considering systems as hierarchies.
1. The document discusses how networks operate like ecosystems and how this contrasts with traditional business thinking. Networks are complex systems of relationships that emerge and self-organize over time through interactions.
2. Ecosystems have no boundaries, everything is linked together, and they cannot be easily controlled or managed from the outside. This contrasts with early approaches to managing environments and customers that assumed clear boundaries and a top-down control model.
3. A new approach called the "ecosystem approach" has emerged, influenced by ideas like James Lovelock's Gaia theory. This recognizes that systems constantly evolve and we are part of the system, not outside of it. Businesses will need to adapt to thinking of networks
A system is an organized collection of interdependent components that work together to perform a function through the transfer of energy and/or matter. Examples include ecosystems and organizations. Systems can be open, closed, or isolated depending on whether matter and/or energy are exchanged with the external environment. Key components of systems include inputs, flows within the system, outputs, and storage areas. Positive feedback reinforces change while negative feedback brings a system back into equilibrium. Models are used to represent and simulate real-world systems.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
The document provides guidance on conducting and understanding a trend analysis for community planning. It outlines preparatory steps like identifying relevant data sources and variables. Key aspects of trend analysis are discussed, such as charting variables over time to identify patterns like reinforcing feedback loops. Common system archetypes that may underlie trends, like shifting the burden, are described. The goal is to help stakeholders explore topics and see linkages rather than conduct a scientific analysis.
ICPSR - Complex Systems Models in the Social Sciences - Lab Session 5 - Profe...Daniel Katz
This document discusses a study of starling flocks that found their behavior exhibits scale-free correlations. The researchers reconstructed the position and velocity of individual birds in large flocks and measured how correlated the velocity fluctuations were between different birds. They found the range of spatial correlation did not have a constant value but scaled with the size of the flock, indicating scale-free behavioral correlations. Scale-free correlations allow each bird's behavior to affect and be affected by all other birds in the group, providing an enhanced ability to collectively respond to environmental perturbations.
1. A system is a collection of interconnected elements that work together towards a common goal. A healthcare system can be analyzed using a systems approach that views it as having inputs, processes, outputs, and feedback.
2. Applying a systems approach to healthcare involves analyzing it across four levels - the individual patient, care teams, healthcare organizations, and the broader political/economic environment. This allows understanding how each component interacts and influences outcomes.
3. Adopting a systems approach in Bangladesh's healthcare would help move it from the current disorganized model to one with better coordination and synergies between different entities, leading to improved quality of care.
The document discusses operant conditioning and its four methods for modifying behavior: positive reinforcement, negative reinforcement, punishment, and response cost. It also describes the four schedules of reinforcement - continuous, fixed interval, variable interval, fixed ratio, and variable ratio - and the response patterns associated with each. Examples are given of how the different methods and schedules could be applied in a classroom setting.
Climate Change and Gaia Theory - a systems perspective with simulations Nov 2...Dennis Sherwood
This document explores climate change and Gaia theory from a systems perspective. It argues that man-made climate change poses a significant threat to humanity and the planet. Using systems diagrams, it shows how human activities like producing greenhouse gases interact with Gaia's self-organizing global feedback systems to drive climate change. If left unchecked, this could lead to a feedback loop that stabilizes the Earth's temperature by eliminating humanity. The wisest intervention may be developing large-scale technologies to directly extract greenhouse gases from the atmosphere.
1. Systems can exist in alternative stable states or equilibria, with tipping points between them driven by positive feedback mechanisms. Negative feedback maintains stability.
2. The laws of thermodynamics govern energy flow and work potential in systems. Energy is transferred but not created or destroyed, and entropy increases over time as available energy decreases.
3. Feedback loops can be positive and destabilizing, amplifying changes, or negative and stabilizing, reducing changes and maintaining equilibrium. Resilience allows systems to withstand disturbances without changing states.
The document discusses systems thinking and various systems concepts. It provides examples to illustrate key aspects of systems, including that (1) systems are made up of elements that interact and connect in relationships, (2) systems can be decomposed into subsystems but the subsystems are interrelated and influence each other, and (3) systems have boundaries but are also connected to and influence broader environments and other systems.
Systems theory views the world as a complex set of relationships between different components. There are two types of systems - open systems that interact with their environment and closed systems that do not. All systems generate feedback that can encourage or discourage change through positive and negative feedback loops. Most systems seek a steady state of equilibrium, but can also experience dynamic equilibrium involving gradual change over time. If too many pressures are placed on a system, it can suddenly tip into a new state of metastable equilibrium through abrupt change.
1. The system itself, not individual components, causes the behavior of the system. The interaction of elements in a system can self-generate phenomena through feedback loops.
2. There are two types of feedback loops: positive/reinforcing feedback which amplifies changes, and negative/balancing feedback which counteracts changes to maintain stability.
3. When both positive and negative feedback are present, it can lead to exponential growth, exponential decay, equilibrium, or oscillation depending on which type of feedback dominates.
Introduction to Systems Thinking: System Structures and BehaviourJason Yip
This document introduces some key concepts of systems thinking, including that a system is more than the sum of its parts, consisting of elements, interconnections, and a function or purpose. It provides examples of systems and describes stocks and flows, feedback loops, delays, and how to analyze a system. Interventions should focus more on changing interconnections, information flows, and incongruent purposes rather than just elements. The purpose is to help the reader apply a systems thinking perspective to analyze and improve their situation.
Systems thinking examines how elements within a system influence each other rather than reacting to individual problems. The iceberg model is a systems thinking model that views global issues as having observable events at the tip but being influenced by deeper patterns, structures, and mental models below the surface. Catching a cold, for example, can be addressed at the event level but the iceberg model pushes examining underlying patterns like frequent colds when tired, structures like a new stressful work policy, and mental models like prioritizing career over health.
This webinar focused on teaching systems thinking concepts and fostering systems thinking skills in students. It began with defining key systems terminology like reservoirs, fluxes, feedback loops, and different types of feedback loops. Participants learned how to read and interpret simple systems diagrams using an example of a bathtub system. They then practiced evaluating how well a systems diagram represented a more complex problem by adding elements to a diagram about wildfires in Minnesota. The webinar provided examples of InTeGrate teaching materials that incorporate systems thinking, like modeling population growth or the carbon cycle. It concluded by discussing additional ways to teach systems thinking and promoting upcoming related professional development opportunities.
This document provides an outline of key concepts in principles of science and systems. It defines science as a logical process for producing knowledge based on observation and testing. It discusses variables, experimental design, models, consensus and conflict in science. It also distinguishes environmental science from environmentalism.
Biology M3 Movement in plants and animalseLearningJa
This document provides information about plant and animal movements. It includes 4 lessons: 1) on plant movements including tropisms and nastic movements, 2) on movement in higher animals including locomotion and muscles, 3) on the human skeleton and its functions, and 4) on bones, joints, and antagonistic muscle pairs that enable human movement. The document contains diagrams, websites for videos, and learning objectives for each lesson.
Sydney Limited WIP Society presentation on "Systems Traps and Opportunities". Part of series introducing Systems Thinking based on Thinking in Systems by Donella Meadows
The document discusses various theories of learning including learning curves, classical conditioning, operant conditioning, and social learning theory. It provides details on key concepts for each theory such as unconditioned and conditioned stimuli/responses for classical conditioning and reinforcement, punishment, and different schedules of reinforcement for operant conditioning. Social learning theory emphasizes learning through observation and modeling.
Systems thinking views phenomena holistically as interrelated systems rather than unrelated objects. It considers systems at different levels and from multiple perspectives. The document discusses various types of time in systems thinking, including cyclic, linear, social, psychological, physical, imaginary, and spiral time. It also covers principles of systems thinking such as emergence, feedback, homeostasis, and considering systems as hierarchies.
1. The document discusses how networks operate like ecosystems and how this contrasts with traditional business thinking. Networks are complex systems of relationships that emerge and self-organize over time through interactions.
2. Ecosystems have no boundaries, everything is linked together, and they cannot be easily controlled or managed from the outside. This contrasts with early approaches to managing environments and customers that assumed clear boundaries and a top-down control model.
3. A new approach called the "ecosystem approach" has emerged, influenced by ideas like James Lovelock's Gaia theory. This recognizes that systems constantly evolve and we are part of the system, not outside of it. Businesses will need to adapt to thinking of networks
A system is an organized collection of interdependent components that work together to perform a function through the transfer of energy and/or matter. Examples include ecosystems and organizations. Systems can be open, closed, or isolated depending on whether matter and/or energy are exchanged with the external environment. Key components of systems include inputs, flows within the system, outputs, and storage areas. Positive feedback reinforces change while negative feedback brings a system back into equilibrium. Models are used to represent and simulate real-world systems.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
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Article: https://pecb.com/article
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Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.