Academic literature on the topic 'Biological Science'
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Journal articles on the topic "Biological Science"
Krebs, Uwe. "Education Science and Biological Anthropology." Anthropologischer Anzeiger 71, no. 1-2 (March 1, 2014): 15–19. http://dx.doi.org/10.1127/0003-5548/2014/0372.
Full textKasemo, Bengt. "Biological surface science." Surface Science 500, no. 1-3 (March 2002): 656–77. http://dx.doi.org/10.1016/s0039-6028(01)01809-x.
Full textKasemo, Bengt. "Biological surface science." Current Opinion in Solid State and Materials Science 3, no. 5 (October 1998): 451–59. http://dx.doi.org/10.1016/s1359-0286(98)80006-5.
Full textRosenberg, Alex. "Why Social Science is Biological Science." Journal for General Philosophy of Science 48, no. 3 (June 13, 2017): 341–69. http://dx.doi.org/10.1007/s10838-017-9365-0.
Full textCurtis, Vickie. "Online citizen science games: Opportunities for the biological sciences." Applied & Translational Genomics 3, no. 4 (December 2014): 90–94. http://dx.doi.org/10.1016/j.atg.2014.07.001.
Full textMonath, T. P. "BIOLOGICAL WARFARE:Strengthening the Biological Weapons Convention." Science 282, no. 5393 (November 20, 1998): 1423. http://dx.doi.org/10.1126/science.282.5393.1423.
Full textOppenheimer, Steven B., Joyce B. Maxwell, and Larry G. Allen. "Advances in Biological Science." American Biology Teacher 50, no. 1 (January 1, 1988): 18–22. http://dx.doi.org/10.2307/4448627.
Full textSchmalz, Gottfried. "Materials Science: Biological Aspects." Journal of Dental Research 81, no. 10 (October 2002): 660–63. http://dx.doi.org/10.1177/154405910208101001.
Full textBarnett, Raymond J. "TAOISM AND BIOLOGICAL SCIENCE." Zygon� 21, no. 3 (September 1986): 297–317. http://dx.doi.org/10.1111/j.1467-9744.1986.tb00751.x.
Full textVogel, Steven. "Academically Correct Biological Science." American Scientist 86, no. 6 (1998): 504. http://dx.doi.org/10.1511/1998.43.3295.
Full textDissertations / Theses on the topic "Biological Science"
Shih, Yu-Keng. "Identifying Protein Functions and Biological Systems through Exploring Biological Networks." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388676152.
Full textHolden, Matthew Alexander. "Studies in biological surface science: microfluidics, photopatterning and artificial bilayers." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/458.
Full textFattah, Zahra Ali. "Applications of bipolar electrochemistry : from materials science to biological systems." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00917770.
Full textShepard, Pamela Ann. "The Use of Part-Time Faculty in Associate Degree Nursing, Social Science, and Biological Science Programs." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc332403/.
Full textBarsotti, Robert J. Jr. "Nanomanufacturing for biological sensing applications." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38588.
Full text"February 2007."
Includes bibliographical references (leaves 219-226).
Over the past 10-15 years, there have been tremendous research efforts in the synthesis of nanomaterials with unique electronic properties. Much less work, however, has focused on the incorporation of the nanomaterials into electronic devices. In order for nanomaterials to have a technological impact in electronic devices, nanomanufacturing techniques must be established for the reliable and reproducible creation of devices with nanomaterials as the active component. In this thesis, the incorporation of 3-20 nm diameter ligand coated gold nanoparticles into an electronic device is studied. Ligand coated nanoparticles provide great control over their solubility and electronic properties through the choice of protecting ligand molecule. The use of an isolated nanoparticle in electronic devices presents two major difficulties which are studied in detail in this work. In order to use the electrical properties of a single particle or a few particles, insulating gaps in metallic electrodes must be fabricated with dimensions of 5-50 nm. Several methods including direct patterning with electron beam lithography, physical methods of gap formation, and electrical methods of gap formation are described, studied and evaluated for use in nanomanufacturing.
(cont.) A second major challenge is the specific assembly of nanoparticles into the nanogaps. The use of chemically directed assembly to pattern particles on templates generated by Dip Pen Nanolithography is described using several different surface chemistries. An electrical based method, dielectrophoresis, is found to be better suited for assembly of particles into the gaps and the forces which affect assembly are studied in detail. Electrical characterizations of networks of 10-200 nanoparticles are studied as a function of protecting ligand molecule. Preliminary results on the use of nanomanufactured devices consisting of gold nanoparticles-oglionucleotide conjugates bridging a nano-gap for DNA sensing are presented.
by Robert J. Barsotti, Jr.
Ph.D.
SCARDONI, Giovanni. "Computational Analysis of Biological networks." Doctoral thesis, Università degli Studi di Verona, 2010. http://hdl.handle.net/11562/343983.
Full textThis thesis, treating both topological and dynamic points of view, concerns several aspects of biological networks analysis. Regarding the topological analysis of biological networks, the main contribution is the node-oriented point of view of the analysis. It means that instead of concentrating on global properties of the networks, we analyze them in order to extract properties of single nodes. An excellent method to face this problem is to use node centralities. Node centralities allow to identify nodes in a network having a relevant role in the network structure. This can not be enough if we are dealing with a biological network, since the role of a protein depends also on its biological activity that can be detected with lab experiments. Our approach is to integrate centralities analysis and data from biological experiments. A protocol of analysis have been produced, and the CentiScaPe tool for computing network centralities and integrating topological analysis with biological data have been designed and implemented. CentiScaPe have been applied to a human kino-phosphatome network and according to our protocol, kinases and phosphatases with highest centralities values have been extracted creating a new subnetwork of most central kinases and phosphatases. A lab experiment established which of this proteins presented high activation level and through CentiScaPe the proteins with both high centrality values and high activation level have been easily identified. The notion of node centralities interference have also been introduced to deal with central role of nodes in a biological network. It allow to identify which are the nodes that are more affected by the remotion of a particular node measuring the variation on their centralities values when such a node is removed from the network. The application of node centralities interference to the human kino-phosphatome revealed that different proteins affect centralities values of different nodes. Similarly to node centralities interference, the notion of centrality robustness of a node is introduced. This notion reveals if the central role of a node depends on other particular nodes in the network or if the node is ``robust'' in the sense that even if we remove or add other nodes the central role of the node remains almost unchanged. The dynamic aspects of biological networks analysis have been treated from an abstract interpretation point of view. Abstract interpretation is a powerful framework for the analysis of software and is excellent in deriving numerical properties of programs. Dealing with pathways, abstract interpretation have been adapted to the analysis of pathways simulation. Intervals domain and constants domain have been succesfully used to automatically extract information about reactants concentration. The intervals domain allow to determine the range of concentration of the proteins, and the constants domain have been used to know if a protein concentration become constant after a certain time. The other domain of analysis used is the congruences domain that, if applied to pathways simulation can easily identify regular oscillating behaviour in reactants concentration. The use of abstract interpretation allows to execute thousands of simulation and to completely and automatically characterize the behaviour of the pathways. In such a way it can be used also to solve the problem of parameters estimation where missing parameters can be detected with a brute force algorithm combined with the abstract interpretation analysis. The abstract interpretation approach have been succesfully applied to the mitotic oscillator pathway, characterizing the behaviour of the pathway depending on some reactants. To help the analysis of relation between reactants in the network, the notions of variables interference and variables abstract interference have been introduced and adapted to biological pathways simulation. They allow to find relations between properties of different reactants of the pathway. Using the abstract interference techniques we can say, for instance, which range of concentration of a protein can induce an oscillating behaviour of the pathway.
Booth, Austin Greeley. "Essays on Biological Individuality." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070056.
Full textPhilosophy
Murrel, Benjamin. "Improved models of biological sequence evolution." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71870.
Full textENGLISH ABSTRACT: Computational molecular evolution is a field that attempts to characterize how genetic sequences evolve over phylogenetic trees – the branching processes that describe the patterns of genetic inheritance in living organisms. It has a long history of developing progressively more sophisticated stochastic models of evolution. Through a probabilist’s lens, this can be seen as a search for more appropriate ways to parameterize discrete state continuous time Markov chains to better encode biological reality, matching the historical processes that created empirical data sets, and creating useful tools that allow biologists to test specific hypotheses about the evolution of the organisms or the genes that interest them. This dissertation is an attempt to fill some of the gaps that persist in the literature, solving what we see as existing open problems. The overarching theme of this work is how to better model variation in the action of natural selection at multiple levels: across genes, between sites, and over time. Through four published journal articles and a fifth in preparation, we present amino acid and codon models that improve upon existing approaches, providing better descriptions of the process of natural selection and better tools to detect adaptive evolution.
AFRIKAANSE OPSOMMING: Komputasionele molekulêre evolusie is ’n navorsingsarea wat poog om die evolusie van genetiese sekwensies oor filogenetiese bome – die vertakkende prosesse wat die patrone van genetiese oorerwing in lewende organismes beskryf – te karakteriseer. Dit het ’n lang geskiedenis waartydens al hoe meer gesofistikeerde waarskynlikheidsmodelle van evolusie ontwikkel is. Deur die lens van waarskynlikheidsleer kan hierdie proses gesien word as ’n soektog na meer gepasde metodes om diskrete-toestand kontinuë-tyd Markov kettings te parametriseer ten einde biologiese realiteit beter te enkodeer – op so ’n manier dat die historiese prosesse wat tot die vorming van biologiese sekwensies gelei het nageboots word, en dat nuttige metodes geskep word wat bioloë toelaat om spesifieke hipotesisse met betrekking tot die evolusie van belanghebbende organismes of gene te toets. Hierdie proefskrif is ’n poging om sommige van die gapings wat in die literatuur bestaan in te vul en bestaande oop probleme op te los. Die oorkoepelende tema is verbeterde modellering van variasie in die werking van natuurlike seleksie op verskeie vlakke: variasie van geen tot geen, variasie tussen posisies in gene en variasie oor tyd. Deur middel van vier gepubliseerde joernaalartikels en ’n vyfde artikel in voorbereiding, bied ons aminosuur- en kodon-modelle aan wat verbeter op bestaande benaderings – hierdie modelle verskaf beter beskrywings van die proses van natuurlike seleksie sowel as beter metodes om gevalle van aanpassing in evolusie te vind.
Cramer, Karla B. "Impact of constructivism via the biological sciences curriculum study (BSCS) 5E model on student science achievement and attitude." Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/cramer/CramerK0812.pdf.
Full textLiu, Hui Qing 1957. "Fingerprinting biological materials." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/291369.
Full textBooks on the topic "Biological Science"
Biological science. Upper Saddle River, New Jersey: Prentice Hall, 2005.
Find full textL, Gould James, Gould Clare H, and Gould Grant F, eds. Biological science. 5th ed. New York: Norton, 1993.
Find full textGould, James L. Biological science. 6th ed. New York: W.W. Norton & Co., 1996.
Find full textFreeman, Scott. Biological science. 3rd ed. San Francisco: Pearson/Benjamin Cummings, 2008.
Find full text1945-, Gould James L., and Gould Carol Grant, eds. Biological science. 5th ed. New York: Norton, 1993.
Find full textAllison, Lizabeth A., 1958- author, Black, Michael (Lecturer in biology), author, Podgorski Greg author, Quillin Kim author, Monroe Jon author, Taylor, Emily (Lecturer in biological sciences), author, and Central Connecticut State University, eds. Biological Science. Boston: Pearson Learning Solutions, 2014.
Find full textKeeton, William T. Biological science. 5th ed. New York: W.W. Norton, 1993.
Find full text1945-, Gould James L., and Gould Carol Grant, eds. Biological science. 4th ed. New York: Norton, 1986.
Find full textBiological science. Upper Saddle River, NJ: Prentice Hall, 2002.
Find full textKeeton, William T. Biological science. 4th ed. New York: W. W. Norton, 1986.
Find full textBook chapters on the topic "Biological Science"
Westphal, Laurie E. "Biological Science." In Differentiating Instruction with Menus for the Inclusive Classroom Science, 79–100. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003234272-7.
Full textWestphal, Laurie E. "Biological Science." In Differentiating Instruction With Menus Advanced-Level Menus Grades 3-5, 81–99. 2nd ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003234524-8.
Full textMiller, Seumas. "Biological Sciences." In Dual Use Science and Technology, Ethics and Weapons of Mass Destruction, 105–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92606-3_8.
Full textKozlovac, Joseph P., and Robert J. Hawley. "Biological Toxins: Safety and Science." In Biological Safety, 253–70. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555815899.ch13.
Full textKozlovac, Joseph P., and Robert J. Hawley. "Biological Toxins: Safety and Science." In Biological Safety, 247–68. Washington, DC, USA: ASM Press, 2016. http://dx.doi.org/10.1128/9781555819637.ch11.
Full textClayton, Philip. "The Biological Sciences." In Religion and Science, 88–107. 2 [edition]. | New York : Routledge, 2018. | Series: The basics: Routledge, 2018. http://dx.doi.org/10.4324/9781315121277-5.
Full textSimpson, Rachel. "Writing in Biological Science." In Inviting Writing: Teaching & Learning Writing across the Primary Curriculum, 66–79. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: Learning Matters, 2017. http://dx.doi.org/10.4135/9781529714913.n6.
Full textGrinshpun, Sergey A. "Biological Aerosols." In Aerosols - Science and Technology, 379–406. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527630134.ch13.
Full textKumar, Challa Vijaya. "Biological Materials." In Nanostructure Science and Technology, 523–42. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-56496-6_22.
Full textHara, Anderson T., Adrian Lussi, and Domenick T. Zero. "Biological Factors." In Monographs in Oral Science, 88–99. Basel: KARGER, 2006. http://dx.doi.org/10.1159/000093355.
Full textConference papers on the topic "Biological Science"
Verna, Didier. "Biological realms in computer science." In the 10th SIGPLAN symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2089131.2089140.
Full textNie, X., and A. J. Surkan. "Genetic algorithms: hints from biological science." In 1991 IEEE International Joint Conference on Neural Networks. IEEE, 1991. http://dx.doi.org/10.1109/ijcnn.1991.170438.
Full textLeiss, Kirsten, Young Choi, and Peter Klinkhamer. "Application of eco-metabolomics in biological science." In TOWARDS THE SUSTAINABLE USE OF BIODIVERSITY IN A CHANGING ENVIRONMENT: FROM BASIC TO APPLIED RESEARCH: Proceeding of the 4th International Conference on Biological Science. Author(s), 2016. http://dx.doi.org/10.1063/1.4953507.
Full textWOOLEY, JOHN C. "CYBERINFRASTRUCTURE FOR THE BIOLOGICAL SCIENCES (CIBIO)." In Proceedings of the 2nd International Life Science Grid Workshop, LSGRID 2005. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772503_0002.
Full textBracco, Angela Rose. "Biological Re:Evolution The Resilient Science of Mycelium Design." In 106th ACSA Annual Meeting. ACSA Press, 2018. http://dx.doi.org/10.35483/acsa.am.106.71.
Full textMOODIE, MICHAEL. "UNDERSTANDING BIOLOGICAL RISK: SAFEGUARDING SCIENCE AND ENHANCING SECURITY." In Proceedings of the International Seminar on Nuclear War and Planetary Emergencies — 29th Session. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704184_0018.
Full text"Preface: International Conference on Biological Science, ICBS 2015." In TOWARDS THE SUSTAINABLE USE OF BIODIVERSITY IN A CHANGING ENVIRONMENT: FROM BASIC TO APPLIED RESEARCH: Proceeding of the 4th International Conference on Biological Science. Author(s), 2016. http://dx.doi.org/10.1063/1.4953473.
Full textQamar, Raheel. "Trends in Science and Research." In IBRAS 2021 INTERNATIONAL CONFERENCE ON BIOLOGICAL RESEARCH AND APPLIED SCIENCE. Juw, 2021. http://dx.doi.org/10.37962/ibras/2021/73.
Full textLuo, Ting, Stephen A. Burns, Alberto de Castro, Lucie Sawides, and Kaitlyn Sapoznik. "Robust adaptive optics systems for vision science." In Adaptive Optics and Wavefront Control for Biological Systems IV, edited by Thomas G. Bifano, Sylvain Gigan, and Joel Kubby. SPIE, 2018. http://dx.doi.org/10.1117/12.2290110.
Full textGong, Xuerui, Zhen Qiao, and Yu-Cheng Chen. "Programmable Microlaser Array Enabled by Living Biomaterials." In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_si.2022.sf3p.6.
Full textReports on the topic "Biological Science"
Noirot, Philippe, Andrzej Joachimiak, and Robert F. Fischetti. Workshop on Biological Science Opportunities Provided by the APS Upgrade. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1496875.
Full textAhring, Birgitte K., Nitin S. Baliga, James R. Frederickson, Samuel Kaplan, Himadri B. Pakrasi, Joel G. Pounds, Imran shah, et al. Biological Interactions and Dynamics Science Theme Advisory Panel (BID-STAP). Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1089109.
Full textJohs, Alexander, Leighton Coates, Brian Davison, James Elkins, Xin Gu, Jennifer Morrell-Falvey, Hugh O'Neill, et al. ORNL Second Target Station Project: Biological & Environmental Science Workshop. Office of Scientific and Technical Information (OSTI), January 2023. http://dx.doi.org/10.2172/1922295.
Full textGraves, David Barry, and Gottlieb Oehrlein. Collaborative Research. Fundamental Science of Low Temperature Plasma-Biological Material Interactions. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1242540.
Full textRevill, James, Alisha Anand, and Giacomo Persi Paoli. Exploring Science and Technology Review Mechanisms Under the Biological Weapons Convention. The United Nations Institute for Disarmament Research, June 2021. http://dx.doi.org/10.37559/sectec/2021/sandtreviews/01.
Full textCremer, Paul S. Designing Rugged Single Molecule Detectors for Stochastic Sensing: A Biological Surface Science Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada417745.
Full textWilliams, Dean, Giri Palanisamy, Galen Shipman, Thomas Boden, and Jimmy Voyles. Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1132005.
Full textLiao, James C., Judy D. Wall, Vicki Grassian, Michael Thomashow, Norman Dovichi, Scott Bridgham, John Bargar, Michael Crowley, Paul Bayer, and Roland Hirsch. Office of Biological and Environmental Research Molecular Science Challenges, Workshop Report, Germantown, Maryland, May 27-29, 2014. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1471416.
Full textOehrlein, Gottlieb S., Joonil Seog, David Graves, and J. W. Chu. Final Report of “Collaborative research: Fundamental science of low temperature plasma-biological material interactions” (Award# DE-SC0005105). Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1157654.
Full textMote, Philip W., John Abatzoglou, Kathie D. Dello, Katherine Hegewisch, and David E. Rupp. Fourth Oregon climate assessment report. State of climate science : 2019. Oregon Climate Change Research Institute, Oregon State University, 2019. http://dx.doi.org/10.5399/osu/1159.
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