Theory of the Origin, Evolution, and Nature of Life
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AP Biology Planner
COURSE PLANNER Please note that not all activities for the course are listed, and many activities will be supplemented with additional activities such as diagram analysis, practice essays, etc. Intro to AP Biology/Scientific Method This course begins with introducing students to the seven science practices, in addition to the Big Ideas that unify the course. Students complete the lab exercises that emphasize the need for controls in experiments as well as to identify and explain potential sources of error as part of the normal scientific process. Reading in Campbell and Reece: Topics: • Intro to AP biology, the test and how to study. ♣ Activity: Theme-teams: Students research and present scientist who represent each Big Idea in AP Biology. ♣ Activity: Analyzing the AP multiple choice questions with diagrams. • Scientific Method: Steps and controlled experiments ♣ Activity: What is Science? Discussion/Poster Creation. ♣ Activity: Lab Safety activity: NIH’s Student Lab Safety Introduction Course. https://www.safetytraining.nih.gov/introcourse/labsafetyIntro.aspx ♣ Activity: Identify risks in procedures and materials (MSDS analysis) ♣ Activity: Guide to good graphing. ♣ Activity: Examining bias in science. ♣ Lab: Student Designed inquiry. The effect of environmental factors on the metabolic rate of yeast. In this student designed inquiry, students investigate environmental factors as they relate to CO2 production or O2 consumption in yeast. Students must select an independent variable and dependent variable, as well as design an experimental procedure based on an existing lab protocol. ECOLOGY The ecology unit introduces the ideas of energy processes and interactions, which are the focus of Big Idea 2 and 4. Ecology introduces students to creating, analyzing, and evaluating mathematical models in biology and prepares students to tackle evolution, the central unit in AP Biology. -
Prebiological Evolution and the Metabolic Origins of Life
Prebiological Evolution and the Andrew J. Pratt* Metabolic Origins of Life University of Canterbury Keywords Abiogenesis, origin of life, metabolism, hydrothermal, iron Abstract The chemoton model of cells posits three subsystems: metabolism, compartmentalization, and information. A specific model for the prebiological evolution of a reproducing system with rudimentary versions of these three interdependent subsystems is presented. This is based on the initial emergence and reproduction of autocatalytic networks in hydrothermal microcompartments containing iron sulfide. The driving force for life was catalysis of the dissipation of the intrinsic redox gradient of the planet. The codependence of life on iron and phosphate provides chemical constraints on the ordering of prebiological evolution. The initial protometabolism was based on positive feedback loops associated with in situ carbon fixation in which the initial protometabolites modified the catalytic capacity and mobility of metal-based catalysts, especially iron-sulfur centers. A number of selection mechanisms, including catalytic efficiency and specificity, hydrolytic stability, and selective solubilization, are proposed as key determinants for autocatalytic reproduction exploited in protometabolic evolution. This evolutionary process led from autocatalytic networks within preexisting compartments to discrete, reproducing, mobile vesicular protocells with the capacity to use soluble sugar phosphates and hence the opportunity to develop nucleic acids. Fidelity of information transfer in the reproduction of these increasingly complex autocatalytic networks is a key selection pressure in prebiological evolution that eventually leads to the selection of nucleic acids as a digital information subsystem and hence the emergence of fully functional chemotons capable of Darwinian evolution. 1 Introduction: Chemoton Subsystems and Evolutionary Pathways Living cells are autocatalytic entities that harness redox energy via the selective catalysis of biochemical transformations. -
A Chemical Engineering Perspective on the Origins of Life
Processes 2015, 3, 309-338; doi:10.3390/pr3020309 processesOPEN ACCESS ISSN 2227-9717 www.mdpi.com/journal/processes Article A Chemical Engineering Perspective on the Origins of Life Martha A. Grover *, Christine Y. He, Ming-Chien Hsieh and Sheng-Sheng Yu School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Dr. NW, Atlanta, GA 30032, USA; E-Mails: [email protected] (C.Y.H.); [email protected] (M.-C.H.); [email protected] (S.-S.Y.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-404-894-2878 or +1-404-894-2866. Academic Editor: Michael Henson Received: 29 January 2015 / Accepted: 19 April 2015 / Published: 5 May 2015 Abstract: Atoms and molecules assemble into materials, with the material structure determining the properties and ultimate function. Human-made materials and systems have achieved great complexity, such as the integrated circuit and the modern airplane. However, they still do not rival the adaptivity and robustness of biological systems. Understanding the reaction and assembly of molecules on the early Earth is a scientific grand challenge, and also can elucidate the design principles underlying biological materials and systems. This research requires understanding of chemical reactions, thermodynamics, fluid mechanics, heat and mass transfer, optimization, and control. Thus, the discipline of chemical engineering can play a central role in advancing the field. In this paper, an overview of research in the origins field is given, with particular emphasis on the origin of biopolymers and the role of chemical engineering phenomena. A case study is presented to highlight the importance of the environment and its coupling to the chemistry. -
A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks
Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011 A Memetic Framework for Cooperative Coevolution of Recurrent Neural Networks Rohitash Chandra, Marcus Frean and Mengjie Zhang Abstract— Memetic algorithms and cooperative coevolution refinement techniques has been a major focus of study in are emerging fields in evolutionary computation which have memetic computation. There is a need to use non-gradient shown to be powerful tools for real-world application problems based local search, especially in problems where gradient- and for training neural networks. Cooperative coevolution decomposes a problem into subcomponents that evolve inde- based approaches fail, as in the case of training recurrent net- pendently. Memetic algorithms provides further enhancement works in problems with long-term dependencies. Crossover- to evolutionary algorithms with local refinement. The use based local search methods are non-gradient based and have of crossover-based local refinement has gained attention in recently gained attention [8], [9]. In crossover based local memetic computing. This paper employs a cooperative coevo- search, efficient crossover operators which have local search lutionary framework that utilises the strength of local refine- ment via crossover. The framework is evaluated by training properties are used for local refinement with a population recurrent neural networks on grammatical inference problems. of a few individuals. They have shown promising results in The results show that the proposed approach can achieve comparison to other evolutionary approaches for problems better performance than the standard cooperative coevolution with high dimensions [9]. framework. Cooperative coevolution (CC) divides a large problem into smaller subcomponents and solves them independently I. -
No. 40. the System of Lunar Craters, Quadrant Ii Alice P
NO. 40. THE SYSTEM OF LUNAR CRATERS, QUADRANT II by D. W. G. ARTHUR, ALICE P. AGNIERAY, RUTH A. HORVATH ,tl l C.A. WOOD AND C. R. CHAPMAN \_9 (_ /_) March 14, 1964 ABSTRACT The designation, diameter, position, central-peak information, and state of completeness arc listed for each discernible crater in the second lunar quadrant with a diameter exceeding 3.5 km. The catalog contains more than 2,000 items and is illustrated by a map in 11 sections. his Communication is the second part of The However, since we also have suppressed many Greek System of Lunar Craters, which is a catalog in letters used by these authorities, there was need for four parts of all craters recognizable with reasonable some care in the incorporation of new letters to certainty on photographs and having diameters avoid confusion. Accordingly, the Greek letters greater than 3.5 kilometers. Thus it is a continua- added by us are always different from those that tion of Comm. LPL No. 30 of September 1963. The have been suppressed. Observers who wish may use format is the same except for some minor changes the omitted symbols of Blagg and Miiller without to improve clarity and legibility. The information in fear of ambiguity. the text of Comm. LPL No. 30 therefore applies to The photographic coverage of the second quad- this Communication also. rant is by no means uniform in quality, and certain Some of the minor changes mentioned above phases are not well represented. Thus for small cra- have been introduced because of the particular ters in certain longitudes there are no good determi- nature of the second lunar quadrant, most of which nations of the diameters, and our values are little is covered by the dark areas Mare Imbrium and better than rough estimates. -
Glossary Glossary
Glossary Glossary Albedo A measure of an object’s reflectivity. A pure white reflecting surface has an albedo of 1.0 (100%). A pitch-black, nonreflecting surface has an albedo of 0.0. The Moon is a fairly dark object with a combined albedo of 0.07 (reflecting 7% of the sunlight that falls upon it). The albedo range of the lunar maria is between 0.05 and 0.08. The brighter highlands have an albedo range from 0.09 to 0.15. Anorthosite Rocks rich in the mineral feldspar, making up much of the Moon’s bright highland regions. Aperture The diameter of a telescope’s objective lens or primary mirror. Apogee The point in the Moon’s orbit where it is furthest from the Earth. At apogee, the Moon can reach a maximum distance of 406,700 km from the Earth. Apollo The manned lunar program of the United States. Between July 1969 and December 1972, six Apollo missions landed on the Moon, allowing a total of 12 astronauts to explore its surface. Asteroid A minor planet. A large solid body of rock in orbit around the Sun. Banded crater A crater that displays dusky linear tracts on its inner walls and/or floor. 250 Basalt A dark, fine-grained volcanic rock, low in silicon, with a low viscosity. Basaltic material fills many of the Moon’s major basins, especially on the near side. Glossary Basin A very large circular impact structure (usually comprising multiple concentric rings) that usually displays some degree of flooding with lava. The largest and most conspicuous lava- flooded basins on the Moon are found on the near side, and most are filled to their outer edges with mare basalts. -
The History of Planet Earth
SECOND EDITION Earth’s Evolving The History of Systems Planet Earth Ronald Martin, Ph.D. University of Delaware Newark, Delaware © Jones & Bartlett Learning, LLC, an Ascend Learning Company. NOT FOR SALE OR DISTRIBUTION 9781284457162_FMxx_00i_xxii.indd 1 07/11/16 1:46 pm World Headquarters Jones & Bartlett Learning 5 Wall Street Burlington, MA 01803 978-443-5000 [email protected] www.jblearning.com Jones & Bartlett Learning books and products are available through most bookstores and online booksellers. To contact Jones & Bartlett Learning directly, call 800-832-0034, fax 978-443-8000, or visit our website, www.jblearning.com. Substantial discounts on bulk quantities of Jones & Bartlett Learning publications are available to corporations, professional associations, and other qualified organizations. For details and specific discount information, contact the special sales department at Jones & Bartlett Learning via the above contact information or send an email to [email protected]. Copyright © 2018 by Jones & Bartlett Learning, LLC, an Ascend Learning Company All rights reserved. No part of the material protected by this copyright may be reproduced or utilized in any form, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without written permission from the copyright owner. The content, statements, views, and opinions herein are the sole expression of the respective authors and not that of Jones & Bartlett Learning, LLC. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement or recommendation by Jones & Bartlett Learning, LLC, and such reference shall not be used for advertis- ing or product endorsement purposes. -
Biol B242 - Coevolution
BIOL B242 - COEVOLUTION http://www.ucl.ac.uk/~ucbhdjm/courses/b242/Coevol/Coevol.html BIOL B242 - COEVOLUTION So far ... In this course we have mainly discussed evolution within species, and evolution leading to speciation. Evolution by natural selection is caused by the interaction of populations/species with their environments. Today ... However, the environment of a species is always partly biotic. This brings up the possiblity that the "environment" itself may be evolving. Two or more species may in fact coevolve. And coevolution gives rise to some of the most interesting phenomena in nature. What is coevolution? At its most basic, coevolution is defined as evolution in two or more evolutionary entities brought about by reciprocal selective effects between the entities. The term was invented by Paul Ehrlich and Peter Raven in 1964 in a famous article: "Butterflies and plants: a study in coevolution", in which they showed how genera and families of butterflies depended for food on particular phylogenetic groupings of plants. We have already discussed some coevolutionary phenomena: For example, sex and recombination may have evolved because of a coevolutionary arms race between organisms and their parasites; the rate of evolution, and the likelihood of producing resistance to infection (in the hosts) and virulence (in the parasites) is enhanced by sex. We have also discussed sexual selection as a coevolutionary phenomenon between female choice and male secondary sexual traits. In this case, the coevolution is within a single species, but it is a kind of coevolution nonetheless. One of our problem sets involved frequency dependent selection between two types of players in an evolutionary "game". -
Closed Network Growth of Fullerenes
ARTICLE Received 9 Jan 2012 | Accepted 18 Apr 2012 | Published 22 May 2012 DOI: 10.1038/ncomms1853 Closed network growth of fullerenes Paul W. Dunk1, Nathan K. Kaiser2, Christopher L. Hendrickson1,2, John P. Quinn2, Christopher P. Ewels3, Yusuke Nakanishi4, Yuki Sasaki4, Hisanori Shinohara4, Alan G. Marshall1,2 & Harold W. Kroto1 Tremendous advances in nanoscience have been made since the discovery of the fullerenes; however, the formation of these carbon-caged nanomaterials still remains a mystery. Here we reveal that fullerenes self-assemble through a closed network growth mechanism by incorporation of atomic carbon and C2. The growth processes have been elucidated through experiments that probe direct growth of fullerenes upon exposure to carbon vapour, analysed by state-of-the-art Fourier transform ion cyclotron resonance mass spectrometry. Our results shed new light on the fundamental processes that govern self-assembly of carbon networks, and the processes that we reveal in this study of fullerene growth are likely be involved in the formation of other carbon nanostructures from carbon vapour, such as nanotubes and graphene. Further, the results should be of importance for illuminating astrophysical processes near carbon stars or supernovae that result in C60 formation throughout the Universe. 1 Department of Chemistry and Biochemistry, Florida State University, 95 Chieftan Way, Tallahassee, Florida 32306, USA. 2 Ion Cyclotron Resonance Program, National High Magnetic Field Laboratory, Florida State University, 1800 East Paul Dirac Drive, Tallahassee, Florida 32310, USA. 3 Institut des Matériaux Jean Rouxel, CNRS UMR 6502, Université de Nantes, BP32229 Nantes, France. 4 Department of Chemistry and Institute for Advanced Research, Nagoya University, Nagoya 464-8602, Japan. -
Geometric and Electronic Properties of Graphene-Related Systems: Chemical Bondings Arxiv:1702.02031V2 [Physics.Chem-Ph] 13
Geometric and electronic properties of graphene-related systems: Chemical bondings Ngoc Thanh Thuy Trana, Shih-Yang Lina;∗, Chiun-Yan Lina, Ming-Fa Lina;∗ aDepartment of Physics, National Cheng Kung University, Tainan 701, Taiwan February 14, 2017 Abstract This work presents a systematic review of the feature-rich essential properties in graphene-related systems using the first-principles method. The geometric and electronic properties are greatly diversified by the number of layers, the stacking con- figurations, the sliding-created configuration transformation, the rippled structures, and the distinct adatom adsorptions. The top-site adsorptions can induce the signif- icantly buckled structures, especially for hydrogen and fluorine adatoms. The elec- tronic structures consist of the carbon-, adatom- and (carbon, adatom)-dominated energy bands. There exist the linear, parabolic, partially flat, sombrero-shaped and oscillatory band, accompanied with various kinds of critical points. The semi-metallic or semiconducting behaviors of graphene systems are dramatically changed by the multi- or single-orbital chemical bondings between carbons and adatoms. Graphene oxides and hydrogenated graphenes possess the tunable energy gaps. Fluorinated graphenes might be semiconductors or hole-doped metals, while other halogenated systems belong to the latter. Alkali- and Al-doped graphenes exhibit the high-density free electrons in the preserved Dirac cones. The ferromagnetic spin configuration is revealed in hydrogenated and halogenated graphenes under certain distributions. Specifically, Bi nano-structures are formed by the interactions between monolayer arXiv:1702.02031v2 [physics.chem-ph] 13 Feb 2017 graphene and buffer layer. Structure- and adatom-enriched essential properties are compared with the measured results, and potential applications are also discussed. -
Nature Based Solutions FEMA
PROMOTING NATURE-BASED HAZARD MITIGATION THROUGH FEMA MITIGATION GRANTS ABBREVIATIONS ADCIRC – Advanced Circulation Model HGM Approach – Hydrogeomorphic Approach BCA – Benefit-Cost Analysis HMA – Hazard Mitigation Assistance BCR – Benefit-Cost Ratio HMGP – Hazard Mitigation Grant Program BRIC – Building Resilient Infrastructure and MSCP – Multiple Species Conservation Program Communities NBS – Nature-Based Solution C&CB – Capability- and Capacity-Building NFIP – National Flood Insurance Program CDBG-DR – Community Development Block Grant- Disaster Recovery NFWF – National Fish and Wildlife Foundation CDBG-MIT – Community Development Block NOAA – National Oceanic and Atmospheric Grant-Mitigation Administration D.C. – District of Columbia NOFO – Notice of Funding Opportunity DEM – Department of Emergency Management NPV – Net Present Value DOI – Department of the Interior SCC – State Coastal Conservancy EDYS – Ecological Dynamics Simulation SDG&E – San Diego Gas & Electric EMA – Emergency Management Agency SFHA – Special Flood Hazard Area EPA SWMM – Environmental Protection Agency SHMO – State Hazard Mitigation Officer Storm Water Management Model SLAMM – Sea Level Affecting Marshes Model FEMA – Federal Emergency Management Agency SRH-2D – Sedimentation and River Hydraulics – FIRM – Flood Insurance Rate Map Two-Dimension FMA – Flood Mitigation Assistance STWAVE – Steady-State Spectral Wave Model FMAG – Fire Management Assistance Grant TNC – The Nature Conservancy HAZUS – Hazards US USACE – U.S. Army Corps of Engineers HEC-HMS – Hydrologic -
Evolution, Politics and Law
Valparaiso University Law Review Volume 38 Number 4 Summer 2004 pp.1129-1248 Summer 2004 Evolution, Politics and Law Bailey Kuklin Follow this and additional works at: https://scholar.valpo.edu/vulr Part of the Law Commons Recommended Citation Bailey Kuklin, Evolution, Politics and Law, 38 Val. U. L. Rev. 1129 (2004). Available at: https://scholar.valpo.edu/vulr/vol38/iss4/1 This Article is brought to you for free and open access by the Valparaiso University Law School at ValpoScholar. It has been accepted for inclusion in Valparaiso University Law Review by an authorized administrator of ValpoScholar. For more information, please contact a ValpoScholar staff member at [email protected]. Kuklin: Evolution, Politics and Law VALPARAISO UNIVERSITY LAW REVIEW VOLUME 38 SUMMER 2004 NUMBER 4 Article EVOLUTION, POLITICS AND LAW Bailey Kuklin* I. Introduction ............................................... 1129 II. Evolutionary Theory ................................. 1134 III. The Normative Implications of Biological Dispositions ......................... 1140 A . Fact and Value .................................... 1141 B. Biological Determinism ..................... 1163 C. Future Fitness ..................................... 1183 D. Cultural N orm s .................................. 1188 IV. The Politics of Sociobiology ..................... 1196 A. Political Orientations ......................... 1205 B. Political Tactics ................................... 1232 V . C onclusion ................................................. 1248 I. INTRODUCTION