What Is Biomechanics? Newton's Laws of Mechanics Force Vector
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Key Concepts for Future QIS Learners Workshop Output Published Online May 13, 2020
Key Concepts for Future QIS Learners Workshop output published online May 13, 2020 Background and Overview On behalf of the Interagency Working Group on Workforce, Industry and Infrastructure, under the NSTC Subcommittee on Quantum Information Science (QIS), the National Science Foundation invited 25 researchers and educators to come together to deliberate on defining a core set of key concepts for future QIS learners that could provide a starting point for further curricular and educator development activities. The deliberative group included university and industry researchers, secondary school and college educators, and representatives from educational and professional organizations. The workshop participants focused on identifying concepts that could, with additional supporting resources, help prepare secondary school students to engage with QIS and provide possible pathways for broader public engagement. This workshop report identifies a set of nine Key Concepts. Each Concept is introduced with a concise overall statement, followed by a few important fundamentals. Connections to current and future technologies are included, providing relevance and context. The first Key Concept defines the field as a whole. Concepts 2-6 introduce ideas that are necessary for building an understanding of quantum information science and its applications. Concepts 7-9 provide short explanations of critical areas of study within QIS: quantum computing, quantum communication and quantum sensing. The Key Concepts are not intended to be an introductory guide to quantum information science, but rather provide a framework for future expansion and adaptation for students at different levels in computer science, mathematics, physics, and chemistry courses. As such, it is expected that educators and other community stakeholders may not yet have a working knowledge of content covered in the Key Concepts. -
Effects of Alcoholism and Alcoholic Detoxication on the Repair and Biomechanics of Bone
EFEITOS DO ALCOOLISMO E DA DESINTOXICAÇÃO ALCOÓLICA SOBRE O REPARO E BIOMECÂNICA ÓSSEA EFFECTS OF ALCOHOLISM AND ALCOHOLIC DETOXICATION ON THE REPAIR AND BIOMECHANICS OF BONE RENATO DE OLIVEIRA HORvaTH1, THIAGO DONIZETH DA SILva1, JAMIL CALIL NETO1, WILSON ROMERO NAKAGAKI2, JOSÉ ANTONIO DIAS GARCIA1, EVELISE ALINE SOARES1. RESUMO ABSTRACT Objetivo: Avaliar os efeitos do consumo crônico de etanol e da desin- Objective: To evaluate the effects of chronic ethanol consumption toxicação alcoólica sobre a resistência mecânica do osso e neofor- and alcohol detoxication on the mechanical resistance of bone and mação óssea junto a implantes de hidroxiapatita densa (HAD) reali- bone neoformation around dense hydroxyapatite implants (DHA) zados em ratos. Métodos: Foram utilizados 15 ratos divididos em três in rats. Methods: Fifteen rats were separated into three groups: (1) grupos, sendo controle (CT), alcoolista crônico (AC) e desintoxicado control group (CT); (2) chronic alcoholic (CA), and (3) disintoxicated (DE). Após quatro semanas, foi realizada implantação de HAD na (DI). After four weeks, a DHA was implanted in the right tibia of the tíbia e produzida falha no osso parietal, em seguida o grupo AC con- animals, and the CA group continued consuming ethanol, while the tinuaram a consumir etanol e o grupo DE iniciaram a desintoxicação. DI group started detoxication. The solid and liquid feeding of the Ao completar 13 semanas os animais sofreram eutanásia, os ossos animals was recorded, and a new alcohol dilution was effected every foram coletados para o processamento histomorfométrico e os fêmu- 48 hours. After 13 weeks, the animals were euthanized and their res encaminhados ao teste mecânico de resistência. -
Exercises in Classical Mechanics 1 Moments of Inertia 2 Half-Cylinder
Exercises in Classical Mechanics CUNY GC, Prof. D. Garanin No.1 Solution ||||||||||||||||||||||||||||||||||||||||| 1 Moments of inertia (5 points) Calculate tensors of inertia with respect to the principal axes of the following bodies: a) Hollow sphere of mass M and radius R: b) Cone of the height h and radius of the base R; both with respect to the apex and to the center of mass. c) Body of a box shape with sides a; b; and c: Solution: a) By symmetry for the sphere I®¯ = I±®¯: (1) One can ¯nd I easily noticing that for the hollow sphere is 1 1 X ³ ´ I = (I + I + I ) = m y2 + z2 + z2 + x2 + x2 + y2 3 xx yy zz 3 i i i i i i i i 2 X 2 X 2 = m r2 = R2 m = MR2: (2) 3 i i 3 i 3 i i b) and c): Standard solutions 2 Half-cylinder ϕ (10 points) Consider a half-cylinder of mass M and radius R on a horizontal plane. a) Find the position of its center of mass (CM) and the moment of inertia with respect to CM. b) Write down the Lagrange function in terms of the angle ' (see Fig.) c) Find the frequency of cylinder's oscillations in the linear regime, ' ¿ 1. Solution: (a) First we ¯nd the distance a between the CM and the geometrical center of the cylinder. With σ being the density for the cross-sectional surface, so that ¼R2 M = σ ; (3) 2 1 one obtains Z Z 2 2σ R p σ R q a = dx x R2 ¡ x2 = dy R2 ¡ y M 0 M 0 ¯ 2 ³ ´3=2¯R σ 2 2 ¯ σ 2 3 4 = ¡ R ¡ y ¯ = R = R: (4) M 3 0 M 3 3¼ The moment of inertia of the half-cylinder with respect to the geometrical center is the same as that of the cylinder, 1 I0 = MR2: (5) 2 The moment of inertia with respect to the CM I can be found from the relation I0 = I + Ma2 (6) that yields " µ ¶ # " # 1 4 2 1 32 I = I0 ¡ Ma2 = MR2 ¡ = MR2 1 ¡ ' 0:3199MR2: (7) 2 3¼ 2 (3¼)2 (b) The Lagrange function L is given by L('; '_ ) = T ('; '_ ) ¡ U('): (8) The potential energy U of the half-cylinder is due to the elevation of its CM resulting from the deviation of ' from zero. -
Biomechanics (BMCH) 1
Biomechanics (BMCH) 1 BMCH 4640 ORTHOPEDIC BIOMECHANICS (3 credits) BIOMECHANICS (BMCH) Orthopedic Biomechanics focuses on the use of biomechanical principles and scientific methods to address clinical questions that are of particular BMCH 1000 INTRODUCTION TO BIOMECHANICS (3 credits) interest to professionals such as orthopedic surgeons, physical therapists, This is an introductory course in biomechanics that provides a brief history, rehabilitation specialists, and others. (Cross-listed with BMCH 8646). an orientation to the profession, and explores the current trends and Prerequisite(s)/Corequisite(s): BMCH 4630 or department permission. problems and their implications for the discipline. BMCH 4650 NEUROMECHANICS OF HUMAN MOVEMENT (3 credits) Distribution: Social Science General Education course A study of basic principles of neural process as they relate to human BMCH 1100 ETHICS OF SCIENTIFIC RESEARCH (3 credits) voluntary movement. Applications of neural and mechanical principles This course is a survey of the main ethical issues in scientific research. through observations and assessment of movement, from learning to Distribution: Humanities and Fine Arts General Education course performance, as well as development. (Cross-listed with NEUR 4650). Prerequisite(s)/Corequisite(s): BMCH 1000 or PE 2430. BMCH 2200 ANALYTICAL METHODS IN BIOMECHANICS (3 credits) Through this course, students will learn the fundamentals of programming BMCH 4660 CLINICAL IMMERSION FOR RESEARCH AND DESIGN (3 and problem solving for biomechanics with Matlab -
Quantitative Methodologies to Dissect Immune Cell Mechanobiology
cells Review Quantitative Methodologies to Dissect Immune Cell Mechanobiology Veronika Pfannenstill 1 , Aurélien Barbotin 1 , Huw Colin-York 1,* and Marco Fritzsche 1,2,* 1 Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK; [email protected] (V.P.); [email protected] (A.B.) 2 Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0FA, UK * Correspondence: [email protected] (H.C.-Y.); [email protected] (M.F.) Abstract: Mechanobiology seeks to understand how cells integrate their biomechanics into their function and behavior. Unravelling the mechanisms underlying these mechanobiological processes is particularly important for immune cells in the context of the dynamic and complex tissue microen- vironment. However, it remains largely unknown how cellular mechanical force generation and mechanical properties are regulated and integrated by immune cells, primarily due to a profound lack of technologies with sufficient sensitivity to quantify immune cell mechanics. In this review, we discuss the biological significance of mechanics for immune cells across length and time scales, and highlight several experimental methodologies for quantifying the mechanics of immune cells. Finally, we discuss the importance of quantifying the appropriate mechanical readout to accelerate insights into the mechanobiology of the immune response. Keywords: mechanobiology; biomechanics; force; immune response; quantitative technology Citation: Pfannenstill, V.; Barbotin, A.; Colin-York, H.; Fritzsche, M. Quantitative Methodologies to Dissect 1. Introduction Immune Cell Mechanobiology. Cells The development of novel quantitative technologies and their application to out- 2021, 10, 851. https://doi.org/ standing scientific problems has often paved the way towards ground-breaking biological 10.3390/cells10040851 findings. -
Human Locomotion Biomechanics - B
BIOMECHANICS - Human Locomotion Biomechanics - B. M. Nigg, G. Kuntze HUMAN LOCOMOTION BIOMECHANICS B. M. Nigg, Human Performance Laboratory, University of Calgary, Calgary, Canada G. Kuntze, Faculty of Kinesiology, University of Calgary, Calgary, Canada Keywords: Loading, Performance, Kinematics, Force, EMG, Acceleration, Pressure, Modeling, Data Analysis. Contents 1. Introduction 2. Typical questions in locomotion biomechanics 3. Experimental quantification 4. Model calculation 5. Data analysis Glossary Bibliography Biographical Sketches Summary This chapter summarizes typical questions in human locomotion biomechanics and current approaches used for scientific investigation. The aim of the chapter is to (1) provide the reader with an overview of the research discipline, (2) identify the objectives of human locomotion biomechanics, (3) summarize current approaches for quantifying the effects of changes in conditions on task performance, and (4) to give an introduction to new developments in this area of research. 1. Introduction Biomechanics may be defined as “The science that examines forces acting upon and within a biological structure and effects produced by such forces”. External forces, acting upon a system, and internal forces, resulting from muscle activity and/or external forces, are assessed using sophisticated measuring devices or estimations from model calculations. The possible results of external and internal forces are: Movements of segments of interest; Deformation of biological material and; Biological changes in tissue(s) on which they act. Consequently, biomechanical research studies/quantifies the movement of different body segments and the biological effects of locally acting forces on living tissue. Biomechanical research addresses several different areas of human and animal movement. It includes studies on (a) the functioning of muscles, tendons, ligaments, cartilage, and bone, (b) load and overload of specific structures of living systems, and (c) factors influencing performance. -
The Evolution of Bird Song: Male and Female Response to Song Innovation in Swamp Sparrows
ANIMAL BEHAVIOUR, 2001, 62, 1189–1195 doi:10.1006/anbe.2001.1854, available online at http://www.idealibrary.com on The evolution of bird song: male and female response to song innovation in swamp sparrows STEPHEN NOWICKI*, WILLIAM A. SEARCY†, MELISSA HUGHES‡ & JEFFREY PODOS§ *Evolution, Ecology & Organismal Biology Group, Department of Biology, Duke University †Department of Biology, University of Miami ‡Department of Ecology and Evolutionary Biology, Princeton University §Department of Biology, University of Massachusetts at Amherst (Received 27 April 2000; initial acceptance 24 July 2000; final acceptance 19 April 2001; MS. number: A8776) Closely related species of songbirds often show large differences in song syntax, suggesting that major innovations in syntax must sometimes arise and spread. Here we examine the response of male and female swamp sparrows, Melospiza georgiana, to an innovation in song syntax produced by males of this species. Young male swamp sparrows that have been exposed to tutor songs with experimentally increased trill rates reproduce these songs with periodic silent gaps (Podos 1996, Animal Behaviour, 51, 1061–1070). This novel temporal pattern, termed ‘broken syntax’, has been demonstrated to transmit across generations (Podos et al. 1999, Animal Behaviour, 58, 93–103). We show here that adult male swamp sparrows respond more strongly in territorial playback tests to songs with broken syntax than to heterospecific songs, and equally strongly to conspecific songs with normal and broken syntax. In tests using the solicitation display assay, adult female swamp sparrows respond more to broken syntax than to heterospecific songs, although they respond significantly less to conspecific songs with broken syntax than to those with normal syntax. -
Quantum Mechanics
Quantum Mechanics Richard Fitzpatrick Professor of Physics The University of Texas at Austin Contents 1 Introduction 5 1.1 Intendedaudience................................ 5 1.2 MajorSources .................................. 5 1.3 AimofCourse .................................. 6 1.4 OutlineofCourse ................................ 6 2 Probability Theory 7 2.1 Introduction ................................... 7 2.2 WhatisProbability?.............................. 7 2.3 CombiningProbabilities. ... 7 2.4 Mean,Variance,andStandardDeviation . ..... 9 2.5 ContinuousProbabilityDistributions. ........ 11 3 Wave-Particle Duality 13 3.1 Introduction ................................... 13 3.2 Wavefunctions.................................. 13 3.3 PlaneWaves ................................... 14 3.4 RepresentationofWavesviaComplexFunctions . ....... 15 3.5 ClassicalLightWaves ............................. 18 3.6 PhotoelectricEffect ............................. 19 3.7 QuantumTheoryofLight. .. .. .. .. .. .. .. .. .. .. .. .. .. 21 3.8 ClassicalInterferenceofLightWaves . ...... 21 3.9 QuantumInterferenceofLight . 22 3.10 ClassicalParticles . .. .. .. .. .. .. .. .. .. .. .. .. .. .. 25 3.11 QuantumParticles............................... 25 3.12 WavePackets .................................. 26 2 QUANTUM MECHANICS 3.13 EvolutionofWavePackets . 29 3.14 Heisenberg’sUncertaintyPrinciple . ........ 32 3.15 Schr¨odinger’sEquation . 35 3.16 CollapseoftheWaveFunction . 36 4 Fundamentals of Quantum Mechanics 39 4.1 Introduction .................................. -
Future Directions of Synthetic Biology for Energy & Power
Future Directions of Synthetic Biology for Energy & Power March 6–7, 2018 Michael C. Jewett, Northwestern University Workshop funded by the Basic Research Yang Shao-Horn, Massachusetts Institute of Technology Office, Office of the Under Secretary of Defense Christopher A. Voigt, Massachusetts Institute of Technology for Research & Engineering. This report does not necessarily reflect the policies or positions Prepared by: Kate Klemic, VT-ARC of the US Department of Defense Esha Mathew, AAAS S&T Policy Fellow, OUSD(R&E) Preface OVER THE PAST CENTURY, SCIENCE AND TECHNOLOGY HAS BROUGHT RE- MARKABLE NEW CAPABILITIES TO ALL SECTORS OF THE ECONOMY; from telecommunications, energy, and electronics to medicine, transpor- tation and defense. Technologies that were fantasy decades ago, such as the internet and mobile devices, now inform the way we live, work, and interact with our environment. Key to this technologi- cal progress is the capacity of the global basic research community to create new knowledge and to develop new insights in science, technology, and engineering. Understanding the trajectories of this fundamental research, within the context of global challenges, em- powers stakeholders to identify and seize potential opportunities. The Future Directions Workshop series, sponsored by the Basic Re- search Directorate of the Office of the Under Secretary of Defense for Research and Engineering, seeks to examine emerging research and engineering areas that are most likely to transform future tech- nology capabilities. These workshops gather distinguished academic researchers from around the globe to engage in an interactive dia- logue about the promises and challenges of emerging basic research areas and how they could impact future capabilities. -
1 Introduction to Cell Biology
1 Introduction to cell biology 1.1 Motivation Why is the understanding of cell mechancis important? cells need to move and interact with their environment ◦ cells have components that are highly dependent on mechanics, e.g., structural proteins ◦ cells need to reproduce / divide ◦ to improve the control/function of cells ◦ to improve cell growth/cell production ◦ medical appli- cations ◦ mechanical signals regulate cell metabolism ◦ treatment of certain diseases needs understanding of cell mechanics ◦ cells live in a mechanical environment ◦ it determines the mechanics of organisms that consist of cells ◦ directly applicable to single cell analysis research ◦ to understand how mechanical loading affects cells, e.g. stem cell differentation, cell morphology ◦ to understand how mechanically gated ion channels work ◦ an understanding of the loading in cells could aid in developing struc- tures to grow cells or organization of cells more efficiently ◦ can help us to understand macrostructured behavior better ◦ can help us to build machines/sensors similar to cells ◦ can help us understand the biology of the cell ◦ cell growth is affected by stress and mechanical properties of the substrate the cells are in ◦ understanding mechan- ics is important for knowing how cells move and for figuring out how to change cell motion ◦ when building/engineering tissues, the tissue must have the necessary me- chanical properties ◦ understand how cells is affected by and affects its environment ◦ understand how mechanical factors alter cell behavior (gene expression) -
Research at a Glance
Bioengineering Research Map Lee Makowski, Professor and Chair [email protected] Mark Niedre, Associate Chair for Research and Graduate Studies [email protected] Shiaoming Shi, Director of MS Programs [email protected] @NUBioE1 @nu_bioe @nubioe www.bioe.neu.edu Anand Asthagiri Associate Professor of Bioengineering Affiliated Professor of Biology and Chemical Engineering [email protected] Research Area 3: Molecular, Cell and Tissue Engineering Research Area 4: Computational and Systems Biology Research Interests: integrative, predictive principles for engineering mammalian cell behaviors and multicellular morphodynamics, with applications in cancer and regenerative medicine. Lab Website: http://www.cell-engineering.org Teaching: BIOE3380 Biomolecular dynamics and control, BIOE5420 Cellular Engineering Ambika Bajpayee Assistant Professor of Bioengineering Moleecular Electrostatics & Drug Delivery Lab [email protected] Research Area 2: Biomechanics, Biotransport and MechanoBiology Research Area 3: Molecular, Cell, and Tissue Engineering Research Interests: Targeted delivery of drugs and imaging probes; bio-electrostatics; bio-transport modeling; biomechanics; mechanisms underlying trauma and age induced osteoarthritis Lab website: https://web.northeastern.edu/bajpayeelab/ Teaching: BIOE 5650 Multiscale Biomechanics; BIOE 5651 Fields Forces and Flows Chiara Bellini, Ph. D. Assistant Professor of Bioengineering Affiliated Faculty, Mechanical and Industrial Engineering [email protected] Research Area -
Determinants of Predation Success: How to Survive an Attack from a Rattlesnake
Received: 10 October 2018 | Accepted: 18 February 2019 DOI: 10.1111/1365-2435.13318 RESEARCH ARTICLE Determinants of predation success: How to survive an attack from a rattlesnake Malachi D. Whitford1,2 | Grace A. Freymiller1,3 | Timothy E. Higham3 | Rulon W. Clark1,4 1Department of Biology, San Diego State University, San Diego, California Abstract 2Ecology Graduate Group, University of 1. The selection pressures that arise from capturing prey and avoiding predators are California, Davis, California some of the strongest biotic forces shaping animal form and function. Examining 3Department of Evolution, Ecology, and Organismal Biology, University of California, how performance (i.e., athletic ability) affects the outcomes of encounters be- Riverside, California tween free-ranging predators and prey is essential for understanding the determi- 4 Chiricahua Desert Museum, Rodeo, New nants of predation success rates and broad scale predator–prey dynamics, but Mexico quantifying these encounters in natural situations is logistically challenging. Correspondence 2. The goal of our study was to examine how various metrics of predator/prey per- Malachi D. Whitford Email: [email protected] formance determine predation success by studying natural predator–prey interac- tions in the field with minimal manipulation of the study subjects. Funding information American Society of Mammalogists; San 3. We used high-speed video recordings of free-ranging sidewinder rattlesnakes Diego State University; Animal Behavior (predator, Crotalus cerastes) and desert kangaroo rats (prey, Dipodomys deserti) to Society study how performance at various stages of their encounters alters the outcome Handling Editor: Anthony Herrel of their interactions. 4. We found that predation success depends on (a) whether the rattlesnake struck accurately, (b) if the rattlesnake strike was accurate, the reaction time and escape manoeuvres of the kangaroo rat, and (c) if the kangaroo rat was bitten, the ability of the kangaroo rat to use defensive manoeuvres to avoid subjugation by the snake.