United By Noise How does randomness help swarms stay together? Kit Yates Centre for Mathematical Biology University of Oxford 27/10/10 - Leeds
|
|
- Kathryn Nash
- 5 years ago
- Views:
Transcription
1 United By Noise How does randomness help swarms stay together? Kit Yates Centre for Mathematical Biology University of Oxford 27/10/10 - Leeds 11
2 Introduction to Locusts
3 Biblical Proportions The locusts came up over all the land of Egypt and settled in all the territory of Egypt; they were very numerous. There had never been so many locusts, nor would there be so many again. For they covered the face of the whole earth, so that the land was darkened; and they did eat every herb of the land, and all the fruit of the trees which the hail had left: and there remained not any green thing in the trees, or in the herbs of the field, through all the land of Egypt. Exodus(10:14-15) 33
4 Background Plagues: 60 countries 29 million square kilometers 20% of the total land surface of the world 10% of the world s population. Swarm: 1 km across 3 km long Upto 1km in the air Source: UNFAO 44
5 Traffic Accidents
6 House Eating
7 Locusts in the media
8
9 Back to Science
10 Serotonin A neurotransmitter. Mediates: Gut movements Animals perceptions of resource availability.
11 Gregarious vs Solitary Serotonin mediates behavioral gregarization underlying swarm formation in desert locusts. Anstey ML, Rogers SM, Ott SR, Burrows M, Simpson SJ. Science. 2009; 323(5914):
12 Swarming is a response to overcrowding Increased contact with other locusts causes increased serotonin Serotonin causes locust to: Change in colour Eat much more Become mutually attracted Breed more readily
13 Experimental Work
14 From Disorder to Order From Disorder to Order in Marching Locusts. Buhl, J. and Sumpter, DJT and Couzin, ID and Hale, JJ and Despland, E. and Miller, ER and Simpson, SJ Science 2006; 312:
15 Experimental Setup 1515
16
17 Experimental Results Collective motion Switching between two steady states: Clockwise and Anticlockwise Noisy/Stochastic process 30 Locusts Locusts
18 Comparison to a simple model Experimental data Model Output
19 Modelling
20 The model Collective Motion of Self-Propelled Particles: Kinetic Phase Transition in2020 One Dimension. Czirok et al. PRL 1999; 82(1):
21 Inherent Noise Inherent noise can facilitate coherence in collective swarm motion. Yates, C.A. and Erban, R. and Escudero, C. and Couzin, I.D. and Buhl, J. and Kevrekidis, I.G. and Maini, P.K. and Sumpter, D.J.T. PNAS 2009; 106(14):5464.
22 Stochastic Differential Equations (SDEs) E 2222
23 Stochastic Differential Equations (SDEs) E
24 Corresponding time course
25 Equation-Free Analysis 2525
26 Model Results Obj Alignment time series
27 Data Analysis Alignment 2727 time series
28 Model Revision Recall the velocity update equation, absolute value of the mean velocity. 2828
29 Revised Model Results Alignment time series 2929
30 Revised model causes locusts to stay together for longer Data time series Old model time series New model time series
31 Cannibalism Collective motion and cannibalism in locust migratory bands. Bazazi S, Buhl J, Hale JJ, Anstey ML, Sword GA, Simpson SJ, Couzin ID Curr. Biol. 2008; 18(10):735-9.
32 Cannibalism
33
34 Explanations Increased individual randomness when unaligned help the swarm stay together. Evolution - Alignment increase harvesting efficiency and reduce predation Cannibalism - Dangerous to fall out of line as sides are more vulnerable 3434
35 Recent Developments Ergodic directional switching in mobile insect groups. Escudero, C. and Yates, C.A. and Buhl, J. and Couzin, I.D. and Erban, R. and Kevrekidis, I.G. and Maini, P.K. PRE 2010; 82(1):11926.
36 Switching is a Poisson Process Fitted analytical functions to the drift and diffusion for original models and locust data. Analysed the behaviour of the SDE via a Fokker-Planck equation. Found that switching is a Poisson process: Switching times are exponentially distributed. Switching times are uncorrelated.
37 Order indicators Order indicators include: Well depth/barrier height. Well distance. Mean Switching time. Second moments of switching time.
38 Non-monotonic behaviour of order disorder transition indicators Second moments of the switching time Second moments measure the spread switching times. The smaller the second moment the closer together the switching times are and vice versa.
39 Conclusions Serotonin causes switch from solitary to gregarious phase. Locusts increase their individual noise in response to finding themselves unaligned. Cannibalism is a possible explanation. Switching is unpredictable. Traditional order/disorder indicators may be of no use in these sorts of models.
40 For more information Oxford Science Blog Physical Review Focus
41 Acknowledgements Supervisors: Radek Erban, David Sumpter and Carlos Escudero. Experimentalist and Collaborators: Iain Couzin, Jerome Buhl, Yannis Keverekidis and Philip Maini. The Doctoral Training Centre, Oxford. EPSRC/BBSRC. 4141
Ergodic directional switching in mobile insect groups
Ergodic directional switching in mobile insect groups Carlos Escudero 1, Christian A. Yates 2, Jerome Buhl 3, Iain D. Couzin 4, Radek Erban 2,5, Ioannis G. Kevrekidis 4, and Philip K. Maini 2,6 1 ICMAT
More informationErgodic directional switching in mobile insect groups
Ergodic directional switching in mobile insect groups Carlos Escudero 1, Christian A. Yates, Jerome Buhl 3, Iain D. Couzin 4, Radek Erban,5, Ioannis G. Kevrekidis 4, and Philip K. Maini,6 1 ICMAT (CSIC-UAM-UC3M-UCM),
More informationEvolutionary models of. collective behaviour in. animal groups. Vishwesha Guttal. Interna(onal Conference on Mathema(cal Modeling and Applica(ons
Evolutionary models of collective behaviour in animal groups Vishwesha Guttal Centre for Ecological Sciences Indian Institute of Science, Bengaluru, India Interna(onal Conference on Mathema(cal Modeling
More informationThe Evolution of Animal Grouping and Collective Motion
The Evolution of Animal Grouping and Collective Motion Vishwesha Guttal and Iain D. Couzin Department of Ecology and Evolutionary Biology, Princeton University Department of Theoretical Physics, Tata Institute
More informationCollective motion: from active matter to swarms in natural and engineered systems
Collective motion: from active matter to swarms in natural and engineered systems Cristián Huepe Unaffiliated NSF Grantee: Cristian Huepe Labs Inc Chicago IL Supported by the National Science Foundation
More informationGillespie s Algorithm and its Approximations. Des Higham Department of Mathematics and Statistics University of Strathclyde
Gillespie s Algorithm and its Approximations Des Higham Department of Mathematics and Statistics University of Strathclyde djh@maths.strath.ac.uk The Three Lectures 1 Gillespie s algorithm and its relation
More informationFirst Passage Time Calculations
First Passage Time Calculations Friday, April 24, 2015 2:01 PM Homework 4 will be posted over the weekend; due Wednesday, May 13 at 5 PM. We'll now develop some framework for calculating properties of
More informationarxiv: v1 [cond-mat.other] 14 May 2009
Comparison of Hard-Core and Soft-Core Potentials for Modelling ing in Free Space J.A. Smith and A.M. Martin. School of Physics, University of Melbourne, Parkville, Victoria 3010, Australia. (Dated: October
More informationHALF YEARLY EXAMINATIONS
Secondary School HALF YEARLY EXAMINATIONS 2016-2017 FORM: 3 Biology Time: 2 hours Name: Class: Section A: Answer ALL questions in the space provided. This section carries a total of 55 marks. 1. The frog
More informationPattern formation is one of the most studied aspects of animal
Comple spatial group patterns result from different animal communication mechanisms R. Eftimie, G. de Vries, and M. A. Lewis Center for Mathematical Biology, Department of Mathematical and Statistical
More informationTable of Contents [ntc]
Table of Contents [ntc] 1. Introduction: Contents and Maps Table of contents [ntc] Equilibrium thermodynamics overview [nln6] Thermal equilibrium and nonequilibrium [nln1] Levels of description in statistical
More information14.1. KEY CONCEPT Every organism has a habitat and a niche. 38 Reinforcement Unit 5 Resource Book
14.1 HABITAT AND NICHE KEY CONCEPT Every organism has a habitat and a niche. A habitat is all of the living and nonliving factors in the area where an organism lives. For example, the habitat of a frog
More informationMeteorological information
Meteorological Meteorological information information for for locust locust monitoring monitoring & & control control locusts locusts & & systems systems meteorological meteorological data data solutions
More informationChanges in Migration Patterns of the Capelin as an Indicator of Temperature Changes in the Arctic Ocean
Changes in Migration Patterns of the Capelin as an Indicator of Temperature Changes in the Arctic Ocean Björn Birnir Sven Þ Sigurðsson Baldvin Einarsson Alethea Barbaro Department of Mathematics and Center
More informationLevels of Organization in Ecosystems. Ecologists organize ecosystems into three major levels. These levels are: population, community, and ecosystem.
Levels of Organization in Ecosystems Ecologists organize ecosystems into three major levels. These levels are: population, community, and ecosystem. Population A population is a group of individuals of
More informationWhy Geography Matters
Why Geography Matters Vocabulary words geography relative location absolute location physical feature human feature region modify adapt cause effect geography: The study of the Earth s physical and human
More informationECS 289 F / MAE 298, Lecture 15 May 20, Diffusion, Cascades and Influence
ECS 289 F / MAE 298, Lecture 15 May 20, 2014 Diffusion, Cascades and Influence Diffusion and cascades in networks (Nodes in one of two states) Viruses (human and computer) contact processes epidemic thresholds
More informationReport Number 09/46. Refining self-propelled particle models for collective behaviour. Christian A. Yates, Ruth E. Baker, Radek Erban, Philip K.
Report Number 09/46 Refining self-propelled particle models for collective behaviour by Christian A. Yates, Ruth E. Baker, Radek Erban, Philip K. Maini Oxford Centre for Collaborative Applied Mathematics
More informationIntroduction to Polar Coordinates in Mechanics (for AQA Mechanics 5)
Introduction to Polar Coordinates in Mechanics (for AQA Mechanics 5) Until now, we have dealt with displacement, velocity and acceleration in Cartesian coordinates - that is, in relation to fixed perpendicular
More informationNursery Reception Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 N/A N/A N/A
Non Negotiables Science Plants Biology Nursery Reception Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Know some names of plants Begin to say how they are different from each other Start to describe the features
More informationAny live cell with less than 2 live neighbours dies. Any live cell with 2 or 3 live neighbours lives on to the next step.
2. Cellular automata, and the SIRS model In this Section we consider an important set of models used in computer simulations, which are called cellular automata (these are very similar to the so-called
More informationKinds of collective behavior and the possibility of group minds 1
Kinds of collective behavior and the possibility of group minds 1 Bryce Huebner, Georgetown University Many species of bacteria form complex communities, hunt prey in groups and secrete chemical trails
More informationAllee effects in stochastic populations
Allee effects in stochastic populations Brian Dennis Dept Fish and Wildlife Resources University of Idaho Moscow ID 83844-1136 USA brian@uidaho.edu ... what minimal numbers are necessary if a species is
More informationGoing from microscopic to macroscopic on non-uniform growing domains
Going from microscopic to macroscopic on non-uniform growing domains Christian A. Yates, 1, Ruth E. Baker, 2, Radek Erban, 3, and Philip K. Maini 4, 1 Centre for Mathematical Biology, Mathematical Institute,
More informationThe Emergence of Polarization in Flocks of Starlings
The Emergence of Polarization in Flocks of Starlings Erik Huemiller Emergant States of Matter Nigel Goldenfeld Society is very familiar with the concept of a flock or herd moving in one direction. This
More informationSynchronization and Swarming: Clocks and Flocks
Synchronization and Swarming: Clocks and Flocks Andrew J. Bernoff, Harvey Mudd College Thanks to Chad Topaz, Macalester College Andrew J. Bernoff Harvey Mudd College ajb@hmc.edu Chad M. Topaz Macalester
More informationCreated by T. Madas VECTOR MOMENTS. Created by T. Madas
VECTOR MOMENTS Question 1 (**) The vectors i, j and k are unit vectors mutually perpendicular to one another. Relative to a fixed origin O, a light rigid rod has its ends located at the points 0, 7,4 B
More informationDetermining interaction rules in animal swarms
Behavioral Ecology doi:10.1093/beheco/arq118 Advance Access publication 00 Month 2010 Determining interaction rules in animal swarms Anders Eriksson, a Martin Nilsson Jacobi, b Johan Nyström, b and Kolbjørn
More informationarxiv: v1 [physics.data-an] 17 Dec 2010
Scaling Mobility Patterns and Collective Movements: Deterministic Walks in Lattices Xiao-Pu Han 1, Tao Zhou 1,2, and Bing-Hong Wang 1,3 1 Department of Modern Physics, University of Science and Technology
More informationWhy Complexity is Different
Why Complexity is Different Yaneer Bar-Yam (Dated: March 21, 2017) One of the hardest things to explain is why complex systems are actually different from simple systems. The problem is rooted in a set
More informationGaussian Process Approximations of Stochastic Differential Equations
Gaussian Process Approximations of Stochastic Differential Equations Cédric Archambeau Centre for Computational Statistics and Machine Learning University College London c.archambeau@cs.ucl.ac.uk CSML
More informationStarling murmurations represent one of the most impressive
The Role of Projection in the Control of Bird Flocks Daniel J.G. Pearce, A. M. Miller, George Rowlands Matthew S. Turner Department of Physics, MOAC Doctoral Training Centre, Centre for Complexity Science,
More informationMapping progression across KS1 to KS2. Science. Adapted from Mapping Progression in the Primary Science Curriculum written by Sue Atkinson CYC
Mapping progression across KS1 to KS2 Science Adapted from Mapping Progression in the Primary Science Curriculum written by Sue Atkinson CYC Sc1 Working Scientifically Asking simple questions and recognising
More informationStudent Background Readings for Bug Dynamics: The Logistic Map
Student Background Readings for Bug Dynamics: The Logistic Map Figure 1 The population as a function of a growth rate parameter observed in the experiment of [Bugs]. Graphs such as this are called bifurcation
More informationSTOCHASTIC PROCESSES FOR PHYSICISTS. Understanding Noisy Systems
STOCHASTIC PROCESSES FOR PHYSICISTS Understanding Noisy Systems Stochastic processes are an essential part of numerous branches of physics, as well as biology, chemistry, and finance. This textbook provides
More informationThe phenomenon: complex motion, unusual geometry
Part I The phenomenon: complex motion, unusual geometry Chapter 1 Chaotic motion 1.1 What is chaos? Certain long-lasting, sustained motion repeats itself exactly, periodically. Examples from everyday life
More informationGathering and recording data to help in answering questions.
Topic/Step Environmental Review Action Plan Monitoring and Evaluation Biodiversity Healthy Living Marine School Grounds Waste Science Year one Curriculum Link and Ideas Asking simple questions and recognising
More informationThe Theory of Evolution
The Theory of Evolution Matthew Ferry Evolution The process by which different kinds of living organisms are thought to have developed and diversified from earlier forms during the history of the Earth.
More informationINFORMATION CRITERIA AND APPROXIMATE BAYESIAN COMPUTING FOR AGENT-BASED MODELLING IN ECOLOGY
INFORMATION CRITERIA AND APPROXIMATE BAYESIAN COMPUTING FOR AGENT-BASED MODELLING IN ECOLOGY New tools to infer on Individual-level processes Cyril Piou Biomath 2015 June 17 Plan Agent Based Modelling
More informationEvaluate numerical expressions
EXAMPLE 1 Evaluate numerical expressions a. ( 4 2 5 ) 2 ( 4) 2 (2 5 ) 2 16 2 5 2 16 2 10 16,384 Power of a product property Power of a power property Simplify and evaluate power. b. 11 5 11 8 1 11 8 11
More informationDOSTHILL PRIMARY SCHOOL I am working towards Building Block A1 in Science
I am working towards Building Block A1 in Science 1 I can observe things closely using some simple equipment 2 I can carry out investigations 3 With some help, I can test out some ideas suggested to me
More informationContent Preview. Multivariate Methods. There are several theoretical stumbling blocks to overcome to develop rating relativities
Introduction to Ratemaking Multivariate Methods March 15, 2010 Jonathan Fox, FCAS, GuideOne Mutual Insurance Group Content Preview 1. Theoretical Issues 2. One-way Analysis Shortfalls 3. Multivariate Methods
More informationWhat Shapes an Ecosystem Section 4-2
What Shapes an Ecosystem Section 4-2 Biotic and Abiotic Factors Ecosystems are influenced by a combination of biological and physical factors. Biotic factors are the biological influences on an organism.
More informationFrom coronal mass ejections to mouse keratinocytes
From coronal mass ejections to mouse keratinocytes By Robin Thompson Supervised by Dr Ruth Baker and Christian Yates, Centre for Mathematical Biology (University of Oxford) Where it all began... Find a
More informationNational Curriculum 2014: Progression in Science
Evaluating Concluding Working Scientifically Measuring and Recording Asking Questions Year 1/2 Year 3/4 Year 5/6 ask simple questions and recognise that they can be answered in different ways ask relevant
More informationLOWER PRIMARY SCHOOL WORKBOOK
CORAL CAY CONSERVATION & JFA EDUCATIONAL AIDS LOWER PRIMARY SCHOOL WORKBOOK ECOLOGY, RELATIONSHIPS & INTERACTIONS - Prepared by - Alexia Tamblyn, Director of Ecology, JFA Craig Turner, Managing Director,
More informationDAYSHEET 40: Types of Transport
UNIT 3: The Cell DAYSHEET 40: Types of Transport Biology I Name: Date: Bellringer/Catalyst: As you read the following passage, highlight or underline any examples of symbiotic relationships. Then in the
More informationLesson Eight The Meeting of the Dinosaurs Evidence Given by Dinosaur Footprints
Lesson Eight The Meeting of the Dinosaurs Evidence Given by Dinosaur Footprints Summary During the first set of activities, students focused on the basics, learning about rocks, minerals, time, and fossils.
More informationDynamics Analysis of Anti-predator Model on Intermediate Predator With Ratio Dependent Functional Responses
Journal of Physics: Conference Series PAPER OPEN ACCESS Dynamics Analysis of Anti-predator Model on Intermediate Predator With Ratio Dependent Functional Responses To cite this article: D Savitri 2018
More informationScience subject progression and skills
Science subject progression and skills Year 1 : Identify and name a variety of common animals that are birds, fish, amphibians, reptiles and mammals Identify and name a variety of common animals that are
More information+ + ( + ) = Linear recurrent networks. Simpler, much more amenable to analytic treatment E.g. by choosing
Linear recurrent networks Simpler, much more amenable to analytic treatment E.g. by choosing + ( + ) = Firing rates can be negative Approximates dynamics around fixed point Approximation often reasonable
More informationYear 1 Science overview
Year 1 Science overview asking simple questions and recognising that they can be answered in different ways observing closely, using simple equipment performing simple tests identifying and classifying
More informationPlant Biology. 2. Explain why energy is lost between each trophic level (triple only).
1. Calculate the % of energy lost between each level. A-B = B-C = C-D = 80%+ Describe quantitatively the proportion of energy transferred between trophic levels and use this to calculate efficiency (triple
More informationBehavioral Simulations in MapReduce
Behavioral Simulations in MapReduce Guozhang Wang, Marcos Vaz Salles, Benjamin Sowell, Xun Wang, Tuan Cao, Alan Demers, Johannes Gehrke, Walker White Cornell University 1 What are Behavioral Simulations?
More informationCollective motion in 3D and hysteresis
IT 11 053 Examensarbete 30 hp Juni 2011 Collective motion in 3D and hysteresis Jinha Park Institutionen för informationsteknologi Department of Information Technology Abstract Collective motion in 3D
More informationFairlawn Primary School Science Curriculum
Materials Plants Animals and Humans At Fairlawn, we follow the curriculum set out in the Science Bug resource Year 1 SCIENTIFIC KNOWLEDGE Identify and name a variety of common animals including fish, amphibians,
More informationCampus: VALLEY VIEW HIGH SCHOOL Content Area: Social Studies
Campus: VALLEY VEW HGH SCHOOL : Map Name: Grading Period: 1 1A 21A 21B 21D 21E 22A 22B 22C 22D 3A 3B Description, TEKS Concept and Description analyze the effects of physical and human ggraphic patterns
More informationJapan International Research Center for Agricultural Sciences (JIRCAS) (Tsukuba, Ibaraki , Japan) 3
JARQ 46 (4), 339 345 (2012) http://www.jircas.affrc.go.jp Field Observations of the Sheltering Behavior of the Solitarious Phase of the Desert Locust, Schistocerca gregaria, with Particular Reference to
More informationEmergence of complex structure through co-evolution:
Emergence of complex structure through co-evolution: The Tangled Nature model of evolutionary ecology Institute for Mathematical Sciences & Department of Mathematics Collaborators: Paul Anderson, Kim Christensen,
More informationMowbray School Long Term Science Plan KS1. Two Year rolling programme KS1
Mowbray School Long Term Science Plan KS1 Two Year rolling programme KS1 Pupils should be taught to; Ø develop scientific knowledge and conceptual understanding through the specific disciplines of biology,
More informationInteractions of Living Things
CHAPTER 14 LESSON 2 Interactions of Living Things Populations and Communities Key Concepts How do individuals and groups of organisms interact? What are some examples of symbiotic relationships? What do
More informationEconomy and Application of Chaos Theory
Economy and Application of Chaos Theory 1. Introduction The theory of chaos came into being in solution of technical problems, where it describes the behaviour of nonlinear systems that have some hidden
More informationHfL Science Topic Maps for Years 1-6. Herts for Learning Ltd.
HfL Science Topic Maps for Years 1-6 Year 1 Science Map Working scientifically Everyday materials Different animals asking simple questions and recognising that they can be answered in different ways distinguish
More informationScience Curriculum Map: KS1 & KS
Subject In KS1 pupils should be taught to use the following practical scientific methods, processes and skills through the teaching of the programme content of study content: Key stage Asking simple questions
More informationPrimary Science Curriculum Pupil Assessment Record
Year 1 Plants Can identify and name a variety of common plants, including garden plants, wild plants and trees, and those classified as deciduous and evergreen. Can describe the basic structure of a variety
More informationDiffusion in a Logarithmic Potential Anomalies, Aging & Ergodicity Breaking
Diffusion in a Logarithmic Potential Anomalies, Aging & Ergodicity Breaking David Kessler Bar-Ilan Univ. E. Barkai (Bar-Ilan) A. Dechant (Augsburg) E. Lutz (Augsburg) PRL, 105 120602 (2010) arxiv:1105.5496
More informationA Simulation Study of Large Scale Swarms
SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics October 28-30, Kyoto, Japan A Simulation Study of Large Scale Swarms Yhoichi Mototake 1 and Takashi Ikegami 1 1
More informationNational Curriculum 2014 Science Coverage
National Curriculum 2014 Science Coverage Aims: The national curriculum for science aims to ensure that all pupils: FCCE Primary School - National Curriculum 2014 develop scientific knowledge and conceptual
More informationMATHEMATICAL SKILLS MOMENTS OF FORCE (RATIOS) AND EQUILIBRIUM AND ASSOCIATED EXAMINATION QUESTIONS.
MATHEMATICAL SKILLS MOMENTS OF FORCE (RATIOS) AND EQUILIBRIUM AND ASSOCIATED EXAMINATION QUESTIONS DESIGN AND TECHNOLOGY NOT FOR SALE OR REDISTRIBUTION THIS MATERIAL CANNOT BE EDITED OR PLACED ON ANY OTHER
More informationLecture 4: Importance of Noise and Fluctuations
Lecture 4: Importance of Noise and Fluctuations Jordi Soriano Fradera Dept. Física de la Matèria Condensada, Universitat de Barcelona UB Institute of Complex Systems September 2016 1. Noise in biological
More informationContinuum Limit of Forward Kolmogorov Equation Friday, March 06, :04 PM
Continuum Limit of Forward Kolmogorov Equation Friday, March 06, 2015 2:04 PM Please note that one of the equations (for ordinary Brownian motion) in Problem 1 was corrected on Wednesday night. And actually
More informationMonth APRIL JUNE. The Orchid School Baner Syllabus Overview Std : I Subject : EVS. Lesson / Content / Name of the Book
Month Lesson / Content / Name of the Book The Orchid School Baner Syllabus Overview 2015-2016 Std : I Subject : EVS Expected Learning Objective Activities/FAs Planned APRIL L-2 My School Identify the different
More informationScience Curriculum Overview
YEAR 1 Seasonal changes Seasonal changes Seasonal changes observe changes across the 4 seasons observe and describe weather associated with the seasons and how day length varies observe changes across
More informationSIRWEC 2012 Helsinki, March Finland. Miroslav Škuthan Central Forecasting Office Czech Hydrometeorological Institute
ID: 0069 CHMI Standing International Road Weather Commission Helsinki, 23-25 March Finland Miroslav Škuthan Central Forecasting Office Czech Hydrometeorological Institute Road Weather Data Presentation
More informationDiscrete evaluation and the particle swarm algorithm
Volume 12 Discrete evaluation and the particle swarm algorithm Tim Hendtlass and Tom Rodgers Centre for Intelligent Systems and Complex Processes Swinburne University of Technology P. O. Box 218 Hawthorn
More informationScience Curriculum Map Autumn 1 Autumn 2 Spring 1 Spring 2 Summer 1 Summer 2
The objectvies in this curriculum map have been outlined by the National Curriculum and include additonal skill and knowledge based learning objectives grouped by units of work, taken from Hamilton Trust,
More informationGene Expression as a Stochastic Process: From Gene Number Distributions to Protein Statistics and Back
Gene Expression as a Stochastic Process: From Gene Number Distributions to Protein Statistics and Back June 19, 2007 Motivation & Basics A Stochastic Approach to Gene Expression Application to Experimental
More informationScience Curriculum Overview
YEAR 1 Seasonal changes observe changes across the 4 seasons observe and describe weather associated with the seasons and how day length varies Seasonal changes observe changes across the 4 seasons observe
More informationHiggs Field and Quantum Gravity
Higgs Field and Quantum Gravity The magnetic induction creates a negative electric field, causing an electromagnetic inertia responsible for the relativistic mass change; it is the mysterious Higgs Field
More informationLagrangian Data Assimilation and Manifold Detection for a Point-Vortex Model. David Darmon, AMSC Kayo Ide, AOSC, IPST, CSCAMM, ESSIC
Lagrangian Data Assimilation and Manifold Detection for a Point-Vortex Model David Darmon, AMSC Kayo Ide, AOSC, IPST, CSCAMM, ESSIC Background Data Assimilation Iterative process Forecast Analysis Background
More informationThink about it Water, water, everywhere
Think about it Water, water, everywhere It s just about everywhere! It covers almost 3/4 of the Earth s surface. It makes up about 2/3 of your body s weight! Every living thing needs it to survive. It
More informationQuantum stochasticity and neuronal computations
Institute for Clinical Neuroanatomy Dr. Senckenbergische Anatomie J.-W. Goethe Universität, Frankfurt am Main Quantum stochasticity and neuronal computations Peter Jedlička, MD Definition A stochastic
More informationStamford Green Primary School Science Progression Document. September 2014
Stamford Green Primary School Science Progression Document September 2014 Early Years Early Learning Goals Area of EYFS curriculum Early Learning Goals The World Children know about the similarities and
More informationOrthoptera: Acrididae. Grasshoppers, Locusts and their Population Control. What is the difference between a grasshopper and a locust?
Orthoptera: Acrididae Grasshoppers, Locusts and their Population Control Systematics L3 What is the difference between a grasshopper and a locust? RPB 2009; orthoptera2 v. 1.5 Hieroglyphus daganensis:
More informationEssential Characteristics of Scientists
SELBY ABBEY CE (VC) PRIMARY SCHOOL SCIENCE CURRICULUM 2018-2019 Essential Characteristics of Scientists The ability to think independently and raise questions about working scientifically and the knowledge
More informationAdaptation, natural selection and evolution
Adaptation, natural selection and evolution Learning Intentions Give the meaning of the term mutation. State that mutations may be neutral, confer an advantage or a disadvantage. State that mutations are
More informationTHE CORPUSCULAR NATURE OF MATTER AND ITS PHYSICAL STATES
THE CORPUSCULAR NATURE OF MATTER AND ITS PHYSICAL STATES In this unit we are going to study the matter from a microscopic point of view using the kinetic theory. We will understand the properties of the
More informationYear/Cycle Autumn 1 Autumn 2 Spring 1 Spring 2 Summer 1 Summer 2 Y1 Animals, inc humans
Science - Whole School Coverage of the National Curriculum 2018-19 Year/Cycle Autumn 1 Autumn 2 Spring 1 Spring 2 Summer 1 Summer 2 Y1 Animals, inc Everyday Plants identify and name a animals including
More informationSusana F. Huelga. Dephasing Assisted Transport: Quantum Networks and Biomolecules. University of Hertfordshire. Collaboration: Imperial College London
IQIS2008, Camerino (Italy), October 26th 2008 Dephasing Assisted Transport: Quantum Networks and Biomolecules Susana F. Huelga University of Hertfordshire Collaboration: Imperial College London Work supported
More informationPage 1 of 5. New: evidence, measure, nutrients, light, soil, transport, volume, water, warmth, insect, pollen, pollinate, nectar.
National Curriculum Objectives: (Statutory requirements) a) Identify and describe the functions of different parts of flowering : roots, stem/trunk, leaves and flowers b) Explore the requirements of for
More informationName: Regents Chemistry: Notes: Unit 8 Gases.
Name: Regents Chemistry: Notes: Unit 8 Gases 1 Name: KEY IDEAS The concept of an ideal gas is a model to explain the behavior of gases. A real gas is most like an ideal gas when the real gas is at low
More information9 The Plague of Hail
9 The Plague of Hail W hile rainfall and snowfall can come from different kinds of clouds, hail can fall only out of severe thunderstorms, or cumulonimbus clouds. Therefore, in comparison with rain and
More information14.1 Habitat And Niche
14.1 Habitat And Niche A habitat differs from a niche. Habitat physical area in which an organism lives Niche each species plays a specific role in an ecosystem niche includes the species habitat, feeding
More informationBand 1 - Science All. Working Scientifically Animals Including Humans Materials. Plants. Seasonal Changes
Band 1 - Science All Working Scientifically Materials Ask simple questions and recognise that they can be answered in different ways (Year 1 focus). I can ask questions and know they can be answered in
More informationAnimal cultures. Primer. effects of these phase change genes and elucidate the regulatory networks involved.
R366 effects of these phase change genes and elucidate the regulatory networks involved. How and why do swarms form? Weather plays a critical role in locust population growth and swarm formation, because
More informationNutritional ecology beyond the individual: a conceptual framework for integrating nutrition and social interactions
Ecology Letters, (2015) 18: 273 286 doi: 10.1111/ele.12406 REVIEW AND SYNTHESIS Nutritional ecology beyond the individual: a conceptual framework for integrating nutrition and social interactions Mathieu
More informationUnraveling the mysteries of stochastic gradient descent on deep neural networks
Unraveling the mysteries of stochastic gradient descent on deep neural networks Pratik Chaudhari UCLA VISION LAB 1 The question measures disagreement of predictions with ground truth Cat Dog... x = argmin
More informationEnd correction = 0.2cm Actual length of object X = = 1.3cm. Constant gradient (straight line) = uniform acceleration. = 98 cm/s 100 cm/s
# Ans Workings/Remarks C End correction = 0.2cm Actual length of object X =. + 0.2 =.3cm 2 D Force, Acceleration, Velocity and Displacement are vectors. Work, Time and Mass are scalars. 3 D Gradient of
More informationSTAGE 2 GEOGRAPHY: Natural environments
STAGE 2 GEOGRAPHY: Natural environments Focus area: The Earth s environment Different environments Significance of environments Key inquiry questions How does the environment support the lives of people
More informationAn Introduction to Evolutionary Game Theory: Lecture 2
An Introduction to Evolutionary Game Theory: Lecture 2 Mauro Mobilia Lectures delivered at the Graduate School on Nonlinear and Stochastic Systems in Biology held in the Department of Applied Mathematics,
More information