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How Does Season Affect Passage Performance and Fatigue of Potamodromous Cyprinids? an Experimental Approach in a Vertical Slot Fishway
water Article How Does Season Affect Passage Performance and Fatigue of Potamodromous Cyprinids? An Experimental Approach in a Vertical Slot Fishway Filipe Romão 1,* ID , José M. Santos 2 ID , Christos Katopodis 3, António N. Pinheiro 1 and Paulo Branco 2 1 CEris-Civil Engineering for Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal; [email protected] 2 CEF-Forest Research Centre, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal; [email protected] (J.M.S.); [email protected] (P.B.) 3 Katopodis Ecohydraulics Ltd., 122 Valence Avenue, Winnipeg, MB R3T 3W7, Canada; [email protected] * Correspondence: fi[email protected]; Tel.: +351-91-861-2529 Received: 11 February 2018; Accepted: 27 March 2018; Published: 28 March 2018 Abstract: Most fishway studies are conducted during the reproductive period, yet uncertainty remains on whether results may be biased if the same studies were performed outside of the migration season. The present study assessed fish passage performance of a potamodromous cyprinid, the Iberian barbel (Luciobarbus bocagei), in an experimental full-scale vertical slot fishway during spring (reproductive season) and early-autumn (non-reproductive season). Results revealed that no significant differences were detected on passage performance metrics, except for entry efficiency. However, differences between seasons were noted in the plasma lactate concentration (higher in early-autumn), used as a proxy for muscular fatigue after the fishway navigation. This suggests that, for potamodromous cyprinids, the evaluation of passage performance in fishways does not need to be restricted to the reproductive season and can be extended to early-autumn, when movements associated with shifts in home range may occur. -
The KNIGHT REVISION of HORNBOSTEL-SACHS: a New Look at Musical Instrument Classification
The KNIGHT REVISION of HORNBOSTEL-SACHS: a new look at musical instrument classification by Roderic C. Knight, Professor of Ethnomusicology Oberlin College Conservatory of Music, © 2015, Rev. 2017 Introduction The year 2015 marks the beginning of the second century for Hornbostel-Sachs, the venerable classification system for musical instruments, created by Erich M. von Hornbostel and Curt Sachs as Systematik der Musikinstrumente in 1914. In addition to pursuing their own interest in the subject, the authors were answering a need for museum scientists and musicologists to accurately identify musical instruments that were being brought to museums from around the globe. As a guiding principle for their classification, they focused on the mechanism by which an instrument sets the air in motion. The idea was not new. The Indian sage Bharata, working nearly 2000 years earlier, in compiling the knowledge of his era on dance, drama and music in the treatise Natyashastra, (ca. 200 C.E.) grouped musical instruments into four great classes, or vadya, based on this very idea: sushira, instruments you blow into; tata, instruments with strings to set the air in motion; avanaddha, instruments with membranes (i.e. drums), and ghana, instruments, usually of metal, that you strike. (This itemization and Bharata’s further discussion of the instruments is in Chapter 28 of the Natyashastra, first translated into English in 1961 by Manomohan Ghosh (Calcutta: The Asiatic Society, v.2). The immediate predecessor of the Systematik was a catalog for a newly-acquired collection at the Royal Conservatory of Music in Brussels. The collection included a large number of instruments from India, and the curator, Victor-Charles Mahillon, familiar with the Indian four-part system, decided to apply it in preparing his catalog, published in 1880 (this is best documented by Nazir Jairazbhoy in Selected Reports in Ethnomusicology – see 1990 in the timeline below). -
The Evolutionary Significance of Body Size in Burying Beetles
Brigham Young University Masthead Logo BYU ScholarsArchive All Theses and Dissertations 2018-04-01 The volutE ionary Significance of Body Size in Burying Beetles Ashlee Nichole Momcilovich Brigham Young University Follow this and additional works at: https://scholarsarchive.byu.edu/etd BYU ScholarsArchive Citation Momcilovich, Ashlee Nichole, "The vE olutionary Significance of Body Size in Burying Beetles" (2018). All Theses and Dissertations. 7327. https://scholarsarchive.byu.edu/etd/7327 This Dissertation is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in All Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. The Evolutionary Significance of Body Size in Burying Beetles Ashlee Nichole Momcilovich A dissertation submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Mark C. Belk, Chair Seth M. Bybee Jerald B. Johnson Steven L. Peck G. Bruce Schaalje Department of Biology Brigham Young University Copyright © 2018 Ashlee Nichole Momcilovich All Rights Reserved ABSTRACT The Evolutionary Significance of Body Size in Burying Beetles Ashlee Nichole Momcilovich Department of Biology, BYU Doctor of Philosophy Body size is one of the most commonly studied traits of an organism, which is largely due to its direct correlation with fitness, life history strategy, and physiology of the organism. Patterns of body size distribution are also often studied. The distribution of body size within species is looked at for suggestions of differential mating strategies or niche variation among ontogenetic development. Patterns are also examined among species to determine the effects of competition, environmental factors, and phylogenetic inertia. -
AI, Robots, and Swarms: Issues, Questions, and Recommended Studies
AI, Robots, and Swarms Issues, Questions, and Recommended Studies Andrew Ilachinski January 2017 Approved for Public Release; Distribution Unlimited. This document contains the best opinion of CNA at the time of issue. It does not necessarily represent the opinion of the sponsor. Distribution Approved for Public Release; Distribution Unlimited. Specific authority: N00014-11-D-0323. Copies of this document can be obtained through the Defense Technical Information Center at www.dtic.mil or contact CNA Document Control and Distribution Section at 703-824-2123. Photography Credits: http://www.darpa.mil/DDM_Gallery/Small_Gremlins_Web.jpg; http://4810-presscdn-0-38.pagely.netdna-cdn.com/wp-content/uploads/2015/01/ Robotics.jpg; http://i.kinja-img.com/gawker-edia/image/upload/18kxb5jw3e01ujpg.jpg Approved by: January 2017 Dr. David A. Broyles Special Activities and Innovation Operations Evaluation Group Copyright © 2017 CNA Abstract The military is on the cusp of a major technological revolution, in which warfare is conducted by unmanned and increasingly autonomous weapon systems. However, unlike the last “sea change,” during the Cold War, when advanced technologies were developed primarily by the Department of Defense (DoD), the key technology enablers today are being developed mostly in the commercial world. This study looks at the state-of-the-art of AI, machine-learning, and robot technologies, and their potential future military implications for autonomous (and semi-autonomous) weapon systems. While no one can predict how AI will evolve or predict its impact on the development of military autonomous systems, it is possible to anticipate many of the conceptual, technical, and operational challenges that DoD will face as it increasingly turns to AI-based technologies. -
How to Design Experiments in Animal Behaviour∗ 8
SERIES ARTICLE How to Design Experiments in Animal Behaviour∗ 8. How Do Wasps Decide Who Would Be the Queen? Part 2 Raghavendra Gadagkar Continuing to explore the fascinating world of the Indian pa- per wasp Ropalidia marginata, in this article, we will ask how wasps choose their queens in another context. In the previ- ous article in this series, we saw how a simple experiment re- vealed that wasps fight, i.e., indulge in dominance-subordinate interactions, and the winner becomes the queen and the loser becomes the worker. This was in the context of new nestfoundation. But contextmatters. Whenthe same wasps once again have to decide who will be their next queen Raghavendra Gadagkar is if the first one dies or is experimentally removed, the same DST Year of Science Chair Professor at the Centre for rules do not hold. The wasps in a mature colony continue Ecological Sciences, Indian to show dominance-subordinate interactions and can even be Institute of Science, arranged in a dominance hierarchy, but the dominance ranks Bangalore, Honorary of the wasps do not predict who their next queen will be. Professor at JNCASR, and Non-Resident Permanent How they choose their next queen in this context continues Fellow of the to be an enduring mystery. In this article, I will describe four Wissenschaftskolleg (Institute simple experiments that have helped us come close to nail- for Advanced Study), Berlin. ing the culprit, although I must confess that we have not yet During the past 40 years he has established an active found the smoking gun—the chase is on, and we are hot on school of research in the area the trail—please join in! of animal behaviour, ecology and evolution. -
Origins of Six Species of Butterflies Migrating Through Northeastern
diversity Article Origins of Six Species of Butterflies Migrating through Northeastern Mexico: New Insights from Stable Isotope (δ2H) Analyses and a Call for Documenting Butterfly Migrations Keith A. Hobson 1,2,*, Jackson W. Kusack 2 and Blanca X. Mora-Alvarez 2 1 Environment and Climate Change Canada, 11 Innovation Blvd., Saskatoon, SK S7N 0H3, Canada 2 Department of Biology, University of Western Ontario, Ontario, ON N6A 5B7, Canada; [email protected] (J.W.K.); [email protected] (B.X.M.-A.) * Correspondence: [email protected] Abstract: Determining migratory connectivity within and among diverse taxa is crucial to their conservation. Insect migrations involve millions of individuals and are often spectacular. However, in general, virtually nothing is known about their structure. With anthropogenically induced global change, we risk losing most of these migrations before they are even described. We used stable hydrogen isotope (δ2H) measurements of wings of seven species of butterflies (Libytheana carinenta, Danaus gilippus, Phoebis sennae, Asterocampa leilia, Euptoieta claudia, Euptoieta hegesia, and Zerene cesonia) salvaged as roadkill when migrating in fall through a narrow bottleneck in northeast Mexico. These data were used to depict the probabilistic origins in North America of six species, excluding the largely local E. hegesia. We determined evidence for long-distance migration in four species (L. carinenta, E. claudia, D. glippus, Z. cesonia) and present evidence for panmixia (Z. cesonia), chain (Libytheana Citation: Hobson, K.A.; Kusack, J.W.; Mora-Alvarez, B.X. Origins of Six carinenta), and leapfrog (Danaus gilippus) migrations in three species. Our investigation underlines Species of Butterflies Migrating the utility of the stable isotope approach to quickly establish migratory origins and connectivity in through Northeastern Mexico: New butterflies and other insect taxa, especially if they can be sampled at migratory bottlenecks. -
Comparative Methods Offer Powerful Insights Into Social Evolution in Bees Sarah Kocher, Robert Paxton
Comparative methods offer powerful insights into social evolution in bees Sarah Kocher, Robert Paxton To cite this version: Sarah Kocher, Robert Paxton. Comparative methods offer powerful insights into social evolution in bees. Apidologie, Springer Verlag, 2014, 45 (3), pp.289-305. 10.1007/s13592-014-0268-3. hal- 01234748 HAL Id: hal-01234748 https://hal.archives-ouvertes.fr/hal-01234748 Submitted on 27 Nov 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Apidologie (2014) 45:289–305 Review article * INRA, DIB and Springer-Verlag France, 2014 DOI: 10.1007/s13592-014-0268-3 Comparative methods offer powerful insights into social evolution in bees 1 2 Sarah D. KOCHER , Robert J. PAXTON 1Department of Organismic and Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA, USA 2Institute for Biology, Martin-Luther-University Halle-Wittenberg, Halle, Germany Received 9 September 2013 – Revised 8 December 2013 – Accepted 2 January 2014 Abstract – Bees are excellent models for studying the evolution of sociality. While most species are solitary, many form social groups. The most complex form of social behavior, eusociality, has arisen independently four times within the bees. -
The Sensory World of Bees
June 2015 in Australia ccThehh senseeory mmiissttrryy world of bees chemaust.raci.org.au ALSO IN THIS ISSUE: • One X-ray technique better than two • Haber’s rule and toxicity • Madeira wines worth the wait The tale in the Working and sensory lives DAVE SAMMUT g sBY tin of bees 18 | Chemistry in Australia June 2015 Bees have a well-earned reputation for pollination and honey-making, but their lesser known skills in electrocommunication are just as impressive. ccording to the United Nations, ‘of Once the worker bee’s honey stomach is the 100 crop species that provide full, it returns to the hive and regurgitates the 90 per cent of the world’s food, partially modified nectar for a hive bee. The A over 70 are pollinated by bees’ hive bee ingests this material to continue the (bit.ly/1DpiRYF). It’s little wonder, then, that conversion process, then again regurgitates it bees continue to be a subject of study around into a cell of the honeycomb. During these the world. More surprising, perhaps, is that so processes, the bees also absorb water, which much remains to be learned. dehydrates the mixture. Bee-keeping (apiculture) is believed to Hive bees then beat their wings to fan the have started as far back as about 4500 years regurgitated material. As the water evaporates ago; sculptures in ancient Egypt show workers (to as little as around 10% moisture), the blowing smoke into hives as they remove sugars thicken into honey – a supersaturated honeycomb. In ancient Greece, Aristotle either hygroscopic solution of carbohydrates (plus kept and studied bees in his own hives or oils, minerals and other impurities). -
Individual Versus Collective Cognition in Social Insects
Individual versus collective cognition in social insects Ofer Feinermanᴥ, Amos Kormanˠ ᴥ Department of Physics of Complex Systems, Weizmann Institute of Science, 7610001, Rehovot, Israel. Email: [email protected] ˠ Institut de Recherche en Informatique Fondamentale (IRIF), CNRS and University Paris Diderot, 75013, Paris, France. Email: [email protected] Abstract The concerted responses of eusocial insects to environmental stimuli are often referred to as collective cognition on the level of the colony.To achieve collective cognitiona group can draw on two different sources: individual cognitionand the connectivity between individuals.Computation in neural-networks, for example,is attributedmore tosophisticated communication schemes than to the complexity of individual neurons. The case of social insects, however, can be expected to differ. This is since individual insects are cognitively capable units that are often able to process information that is directly relevant at the level of the colony.Furthermore, involved communication patterns seem difficult to implement in a group of insects since these lack clear network structure.This review discusses links between the cognition of an individual insect and that of the colony. We provide examples for collective cognition whose sources span the full spectrum between amplification of individual insect cognition and emergent group-level processes. Introduction The individuals that make up a social insect colony are so tightly knit that they are often regarded as a single super-organism(Wilson and Hölldobler, 2009). This point of view seems to go far beyond a simple metaphor(Gillooly et al., 2010)and encompasses aspects of the colony that are analogous to cell differentiation(Emerson, 1939), metabolic rates(Hou et al., 2010; Waters et al., 2010), nutrient regulation(Behmer, 2009),thermoregulation(Jones, 2004; Starks et al., 2000), gas exchange(King et al., 2015), and more. -
Nikolaas Tinbergen: the Careful Scientist), Respectively, by Sindhu Radhakrishna in This Issue
Editorial T N C Vidya, Associate Editor We are happy to bring to you, an issue that celebrates Niko- laas Tinbergen, who along with Konrad Lorenz and Karl von Frisch, laid the foundations of the field of ethology, the study of animal behaviour. In the late 19th and early 20th centuries, animal behaviour was largely approached either through vital- ism and purposive psychology (in England and then America), suggesting that behaviour was the outcome of mystical forces Email: within individuals that could, therefore, not be explained through [email protected] physico-chemical processes, or through comparative psychology (in America) that placed an almost exclusive emphasis on learn- ing as the process responsible for behaviour. Comparative psy- chologists at that time often anthropomorphised animal behaviour and relied on laboratory experiments to test animals. Ethologists Lorenz, Tinbergen, and von Frisch (in Europe), on the other hand, articulated how animal behaviour itself could be an evolved phe- nomenon. The behaviour showed by an animal could, therefore, be inherited, have survival value, and be acted upon by natu- ral selection. This was in contrast to the view of comparative psychologists who thought that mental faculties – and not be- haviours – evolved and allowed various species to learn appro- priate behaviours. Therefore, ethologists tended to focus on an- imal behaviour in the natural environment and study instinctive behaviours – behaviours that animals displayed in response to specific stimuli even in the absence of prior experience. How- ever, they realized that learning could also be important in some species at least. Lorenz, Tinbergen, and von Frisch carried out careful observations and experiments on insects, fishes, and birds. -
Waveform Sensors: the Next Challenge in Biomimetic Electroreception
International Journal of Biosensors & Bioelectronics Mini Review Open Access Waveform sensors: the next challenge in biomimetic electroreception Abstract Volume 2 Issue 6 - 2017 The interest in developing bioinspired electric sensors increased after the rising use Alejo Rodríguez Cattaneo, Angel Caputi and of electric fields as image carriers in underwater robots and medical devices using artificial electroreception (electrotomography and electric catheterism). Electric Ana Carolina Pereira Dept Neurociencias Integrativas y Computacionales, Instituto images of objects have been most often conceived as the amplitude modulation of the de Investigaciones Biológicas Clemente Estable, Uruguay local electric field on a sensory mosaic, but recent research in electric fish indicates that the evaluation of time waveform of local stimulus can increase the electrosensory Correspondence: Ana Carolina Pereira, Department of channels capacities and therefore improve discrimination and recognition of target Neurociencias Integrativas y Computacionales, Instituto de objects. This minireview deals with the present importance of developing electric Investigaciones Biológicas Clemente Estable, Av Italia 3318 sensors specifically tuned to the expected carrier waveforms to improve design of Montevideo, Uruguay, CP11600, Tel 59824871616, artificial bioinspired agents and diagnosis devices. Email [email protected] Keywords: Electroreception, Waveforms sensors Received: June 25, 2017 | Published: July 13, 2017 Introduction signal vanish when -
Neuroethlogy NROC34 Course Goals How? Evaluation
Course Goals Neuroethlogy NROC34 • What is neuroethology? • Prof. A. Mason – Role of basic biology – Model systems (mainly invertebrate) • e-mail: – Highly specialized organisms – [email protected] – Biomimetics – [email protected] • Primary literature and the scientific process – No textbook – subject = NROC34 – But if you really want one, there are a couple of suggestion on the • Office Hours: Friday, 1 – 4:00 pm, SW566 syllabus • Basic principles of integrative neural function • Weekly Readings: download from course webpage – More on this a bit later www.utsc.utoronto.ca/amason/courses/coursepage/syllabus2012.html NROC34 2012:1 1 NROC34 2012:1 2 How? Evaluation • Case studies of several model systems – Different kinds of questions – Different kinds of research (techniques) • Weekly readings 5% – Sensory, motor, decision-making… • Mid-term 35-45% • Selected papers each week • Final Exam 45-60% – Read before, discuss during: usually readings are challenging and “discussion” means me explaining (so • Presentation (optional) 10% don’t be discouraged) • Most topics include current work • Weekly reading marks: each week several – Take you to the leading edge of research in selected people will be selected at random to areas contribute 3 questions about the papers. NROC34 2012:1 3 NROC34 2012:1 4 1 Information Neuroethology • Who are you people? • The study of the neural mechanisms • What do you expect to learn in this course? underlying behaviour that is biologically • What previous course have you taken in: relevant to the animal performing it. – neuroscience • This encompasses many basic mechanisms – Behaviour of the nervous system. • Is this a req’d course for you? • Combines behavioural analysis and neurophysiology NROC34 2012:1 5 NROC34 2012:1 6 Neurobiology Behavioural Science • What do I mean by “integrative neural function”? • What does the nervous system do? • Ethology • Psychology – detect information in the environment – biological behaviour – abstract concepts (e.g.