Relevant bibliographies by topics / Biological Computer Laboratory

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  2. Dissertations / Theses
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Academic literature on the topic 'Biological Computer Laboratory'

Author: Grafiati
Published: 26 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Biological Computer Laboratory"

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Lamperti, Albert, and Marvin Sodicoff. "Computer-based neuroanatomy laboratory for medical students." Anatomical Record 249, no. 3 (1997): 422–28. http://dx.doi.org/10.1002/(sici)1097-0185(199711)249:3<422::aid-ar14>3.0.co;2-q.

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Trisilowati and D. G. Mallet. "In Silico Experimental Modeling of Cancer Treatment." ISRN Oncology 2012 (February 1, 2012): 1–8. http://dx.doi.org/10.5402/2012/828701.

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In silico experimental modeling of cancer involves combining findings from biological literature with computer-based models of biological systems in order to conduct investigations of hypotheses entirely in the computer laboratory. In this paper, we discuss the use of in silico modeling as a precursor to traditional clinical and laboratory research, allowing researchers to refine their experimental programs with an aim to reducing costs and increasing research efficiency. We explain the methodology of in silico experimental trials before providing an example of in silico modeling from the biom
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Bolender, Robert P. "Quantitative morphology for biologists and computer scientists: I. Computer-aided tutorial for biological stereology (version 1.0)." Microscopy Research and Technique 21, no. 4 (1992): 338–46. http://dx.doi.org/10.1002/jemt.1070210409.

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Weiler, Conrad. "Mating Your Computer with a VCR for Classroom Laboratory Demonstrations." American Biology Teacher 47, no. 4 (1985): 253–54. http://dx.doi.org/10.2307/4448042.

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Richardson, D. "Student perceptions and learning outcomes of computer-assisted versus traditional instruction in physiology." Advances in Physiology Education 273, no. 6 (1997): S55. http://dx.doi.org/10.1152/advances.1997.273.6.s55.

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This study compared student perceptions and learning outcomes of computer-assisted instruction against those of traditional didactic lectures. Components of Quantitative Circulatory Physiology (Biological Simulators) and Mechanical Properties of Active Muscle (Trinity Software) were used to teach regulation of tissue blood flow and muscle mechanics, respectively, in the course Medical Physiology. These topics were each taught, in part, by 1) standard didactic lectures, 2) computer-assisted lectures, and 3) computer laboratory assignment. Subjective evaluation was derived from a questionnaire a
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Vallée, Robert. "An Unfinished Revolution? Heinz von Foerster and the Biological Computer Laboratory/BCL, 1958‐1976." Kybernetes 38, no. 1/2 (2009): 271–72. http://dx.doi.org/10.1108/03684920910930394.

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Rahn, Jennifer, Dana Willner, James Deverick, Peter Kemper, and Margaret Saha. "Incorporating Computer Programming & Data Science into a Guided Inquiry-Based Undergraduate Ecology Lab." American Biology Teacher 81, no. 9 (2019): 649–57. http://dx.doi.org/10.1525/abt.2019.81.9.649.

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The biological sciences are becoming increasingly reliant on computer science and associated technologies to quickly and efficiently analyze and interpret complex data sets. Introducing students to data analysis techniques is a critical part of their development as well-rounded, scientifically literate citizens. As part of a collaborative effort between the Biology and Computer Science departments at William &amp; Mary, we sought to develop laboratory exercises that would introduce basic ideas of data analysis while also exposing students to Python, a commonly used computer programming languag
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Pokorný, Martin, and Petr Zach. "Design, implementation and security of a typical educational laboratory computer network." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 4 (2013): 1077–87. http://dx.doi.org/10.11118/actaun201361041077.

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Computer network used for laboratory training and for different types of network and security experiments represents a special environment where hazardous activities take place, which may not affect any production system or network. It is common that students need to have administrator privileges in this case which makes the overall security and maintenance of such a network a difficult task. We present our solution which has proved its usability for more than three years. First of all, four user requirements on the laboratory network are defined (access to educational network devices, to labo
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Špernjak, Andreja, and Andrej Šorgo. "Differences in acquired knowledge and attitudes achieved with traditional, computer-supported and virtual laboratory biology laboratory exercises." Journal of Biological Education 52, no. 2 (2017): 206–20. http://dx.doi.org/10.1080/00219266.2017.1298532.

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Albahri, A. S., Jameel R. Al-Obaidi, A. A. Zaidan, et al. "Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods." International Journal of Information Technology & Decision Making 19, no. 05 (2020): 1247–69. http://dx.doi.org/10.1142/s0219622020500285.

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Coronavirus disease (COVID-19) pandemic has a tremendous effect on people’s lives worldwide, and the number of infected patients increases daily. The healthcare sector is affected by a large number of patients with COVID-19, and a solution is urgently needed to avert the risk of deteriorating patients in terms of prioritizing patients based on their health conditions. Prioritization of patients with COVID-19 is a complex and multi-criteria decision-analysis (MCDA) problem due to (i) multiple biological laboratory examination criteria, (ii) criteria importance and (iii) trade-off amongst the cr
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Dissertations / Theses on the topic "Biological Computer Laboratory"

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Gregory, Michael W. (Michael Walter). "Interrelational Laboratory Information System for Data Storage and Retrieval." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc935708/.

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The necessity for a functional user friendly laboratory data management program has become evident as the quantity of information required for modern scientific research has increased to to titanic proportions. The required union of strong computer power, ease of operation, and adaptability have until recently been outside the realm of most research laboratories. Previous systems, in addition to their high cost, are necessarily complex and require software experts in order to effect any changes that the end user might deem necessary. This study examines the Apple Macintosh computer program Hyp
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Books on the topic "Biological Computer Laboratory"

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service), ScienceDirect (Online, ed. Computer methods. Academic Press, 2011.

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Marchisio, Mario Andrea. Computational methods in synthetic biology. Humana Press, 2015.

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Jorgenson, Linné Jean, and Ringsrud Karen Munson, eds. Linne & Ringsrud's clinical laboratory science: The basics and routine techniques. 6th ed. Mosby Elsevier, 2011.

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D, Held Kathryn, Brebbia C. A, Ciskowski R. D, Computational Mechanics Institute (Southampton, England), and International Conference on Computers in Biomedicine (1st : 1991 : Southampton, Eng.), eds. Computers in biomedicine: Proceedings of the first international conference, held in Southampton, UK, 24-26 September 1991. Computational Mechanics Publications, 1991.

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I, Gallin John, and Ognibene Fred P, eds. Principles and practice of clinical research. 2nd ed. Academic Press, 2007.

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Wilhide, J. D. Investigative Lab Manual for Biological Science: Computer Based Applications. Kendall/Hunt Publishing Company, 2002.

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The Laboratory Computer: A Practical Guide for Physiologists and Neuroscientists (Biological Techniques Series). Academic Press, 2001.

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Dempster, John. The Laboratory Computer: A Practical Guide for Physiologists and Neuroscientists (Biological Techniques Series). Academic Press, 2001.

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An unfinished revolution?: Heinz von Foerster and the Biological Computer Laboratory, BCL, 1958-1976. Edition Echoraum, 2007.

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Laboratory Manual of Biomathematics. Academic Press, 2007.

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Book chapters on the topic "Biological Computer Laboratory"

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Müggenburg, Jan. "Heinz von Foerster and Early Research in the Field of Pattern Recognition at the Biological Computer Laboratory." In Computer Aided Systems Theory – EUROCAST 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45093-9_15.

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Soderi, Simone, Mariella Särestöniemi, Syifaul Fuada, Matti Hämäläinen, Marcos Katz, and Jari Iinatti. "Securing Hybrid Wireless Body Area Networks (HyWBAN): Advancements in Semantic Communications and Jamming Techniques." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_24.

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AbstractThis paper explores novel strategies to strengthen the security of Hybrid Wireless Body Area Networks (HyWBANs), which are essential in smart healthcare and Internet of Things (IoT) applications. Recognizing the vulnerability of HyWBAN to sophisticated cyber-attacks, we propose an innovative combination of semantic communications and jamming receivers. This dual-layered security mechanism protects against unauthorized access and data breaches, particularly in scenarios involving in-body to on-body communication channels. We conduct comprehensive laboratory measurements to understand hy
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"Biological Computer Laboratory." In Jenseits des Labors. transcript-Verlag, 2011. http://dx.doi.org/10.14361/transcript.9783839416037.23.

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Müggenburg, Jan. "Biological Computer Laboratory." In Jenseits des Labors. transcript Verlag, 2011. http://dx.doi.org/10.1515/transcript.9783839416037.23.

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"BIOLOGICAL TECHNIQUES." In The Laboratory Computer. Elsevier, 2001. http://dx.doi.org/10.1016/b978-0-12-209551-1.50047-7.

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Saha, Gourab. "Computer-Aided Biopharmaceutical Characterization." In Computer Aided Drug Development. THINKPLUS PHARMA PUBLICATIONS, 2024. http://dx.doi.org/10.69613/ccb7qd77.

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Computer-aided biopharmaceutical characterization combines advanced computational methods with analytical techniques to understand and optimize biological drug development. Modern software platforms analyze complex molecular structures, predict protein-ligand interactions, and simulate drug behavior in biological systems. High-throughput screening methods integrated with machine learning algorithms accelerate the identification of potential drug candidates while reducing experimental costs. Advanced computational tools evaluate protein stability, aggregation tendencies, and immunogenicity risk
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Verbeek, Fons J. "Three-dimensional (3D) reconstruction from serial sections." In Image Processing and Analysis. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780199637010.003.0005.

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Abstract This chapter describes the theory and application of three-dimensional (3D) reconstruction from serial sections. The technique has a long history, starting by sculpturing from sections via photomicrographs to a wax model and evolving to a virtual 3D model exclusively existing in computer memory. The latter method is, at least to some extent, automated and therefore referred to as computer-assisted reconstruction (CAR). CAR is commonly applied in the laboratory. However, computerizing the reconstruction process has implications for laboratory practice, and clear and unambiguous termino
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Nouri, Ali, and Christopher F. Chyba. "Biotechnology and biosecurity." In Global Catastrophic Risks. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780198570509.003.0027.

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Biotechnological power is increasing exponentially, reminiscent of the increase in computing power since the invention of electronic computers. The cofounder of Intel Corporation, Gordon Moore, pointed out in 1965 that the number of transistors per computer chip – a measure of how much computation can be done in a given volume – has doubled roughly every 18 months (Moore, 1965). This exponential increase in computing power, now called ‘Moore’s Law’, has continued to hold in the decades since then (Lundstrom, 2003) and is the reason that individuals now have more computing power available in th
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Ward Richard C., Yambert Mark W., Toedte Ross J., et al. "Creating a Human Phantom for the Virtual Human Program." In Studies in Health Technology and Informatics. IOS Press, 2000. https://doi.org/10.3233/978-1-60750-914-1-368.

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A high-resolution human phantom &amp;ndash; a computer representation of the human anatomy &amp;ndash; is needed as part of the Virtual Human (VH) simulation environment being developed by Oak Ridge National Laboratory and collaborators. Within the VH environment, this 3D anatomical phantom is coupled with physiological models and data to investigate a wide range of human biological and physical responses to stimuli. This paper describes how the phantom was created using the Visible Human (male) image data from the U.S. National Library of Medicine. Initially, X-ray computed tomography (CT) as
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Brazma, Alvis. "Evolving Replicators." In Living Computers. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780192871947.003.0006.

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Abstract This chapter is the first in a series of four chapters discussing various aspects of evolution. The main principles of biological evolution are introduced via exploring how bacteria evolve in a laboratory, in particular, discussing the long-term evolutionary experiment of E. coli bacteria by Richard Lenski. Next, the bacterial evolution in the wild is discussed. It is shown how the bacterial evolution is linked to the changes of information in their genomes. It is also discussed what is needed for a system to be able to evolve (i.e. evolvability) and how fast an evolving system can ch
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Conference papers on the topic "Biological Computer Laboratory"

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Kurban, Sena, Asli Yasmal, Oktay Samur, et al. "Future Forecasting of Dissolved Oxygen Concentration in Wastewater Treatment Plants using Deep Learning Techniques." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.137038.

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Predicting water quality is essential for effective environmental management and pollution control. Dissolved oxygen (DO), one of key water quality parameters, plays a vital role in biological wastewater treatment [1]. This study aims to forecast DO levels in activated sludge tanks of an oil refinery�s wastewater treatment plant (WWTP). Proper oxygen concentration is critical for microbial activity, as inadequate levels can disrupt the biological breakdown of pollutants. The objective is to develop predictive models to identify operational risks early, enhancing treatment efficiency and optimi
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R�cker, Theresa, Matteo Gilardi, Thomas Br�ck, and Bernd Wittgens. "Process design for a novel fungal biomass valorisation approach." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.190345.

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The European Union is transitioning towards a circular and low-carbon economy, emphasizing renewable biological resources. This study explores the production of high-value compounds like chitosan from fungal biomass and presents a potential design for a sustainable biorefinery process, contributing to the diversification and optimisation of biomass feedstock utilisation. The process simulation includes dedicated sub-models for each unit operation, based on laboratory data and integrated into a comprehensive process flow sheet using COCO-COFE. The productivity of the simulated plant results in
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Temple, Mark D. "DNA Sonification Using 8-Channel Audio for Data Analyses and Music Composition." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.016.

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DNA sequences contain vast amounts of biological data and computer algorithms play an important role in processing these data for human inspection. Here we describe an updated computer-generated auditory display tool to be used as stand-alone audio or as a complement to a visual display for DNA sequence inspection. The auditory display uses musical notes to represent the data in relation to the process of gene expression or DNA replication. Given the use of musical notes in the auditory display raises the possibility these may be considered algorithmic music. To pursue this notion further the
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Jennifer J. Mathieu, John C. Sager, Doug Hammond, et al. "Computer Control System for Kennedy Space Center's New Biological Sciences Research Facility: Space Experiment Research and Processing Laboratory (SERPL)." In 2003, Las Vegas, NV July 27-30, 2003. American Society of Agricultural and Biological Engineers, 2003. http://dx.doi.org/10.13031/2013.13875.

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Tittikpina, NK, W. Atakpama, H. Pereki, et al. "From ethnobotany to the laboratory: a computer aided ethnobotanic method for the identification of plants with interesting biological activities." In GA 2017 – Book of Abstracts. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1608531.

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Wang, Yanyan. ".NET-Based Open Laboratory Management Information System." In The Joint Conferences of 2015 International Conference on Computer Science and Engineering Technology (CSET2015) and 2015 International Conference on Medical Science and Biological Engineering (MSBE2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814651011_0034.

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Ryszard, Parosa, Andrzej Brożyński, Piotr Grześkowiak, et al. "MICROWAVE TREATMENT OF MATERIALS IN LOW PRESSURE." In Ampere 2019. Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/ampere2019.2019.9625.

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Ryszard Parosa, Andrzej Brożyński, Piotr Grześkowiak, Krzysztof Kowalczyk, Marek Natoński, Piotr Ziętek and Janusz Żytkiewicz PROMIS-TECH Poland Keywords: microwave treatment, low pressure heating, microwave drying Uniquely favourable characteristics of biological product can be obtained through the use of the microwave method in vacuum heating process. Microwave-vacuum drying is superior to other methods in terms of dried products' structure, flavour, colour and biological active compounds contents. But applications of such a methods seems to be much wider: drying of fruits and vegetables for
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Farooq, Ahmed, and Roope Raisamo. "Harnessing Magnetorheological Fluids in Implantable Actuators: A Novel Approach to Precision Haptic Feedback in Biological Tissues." In 2025 Intelligent Human Systems Integration. AHFE International, 2025. https://doi.org/10.54941/ahfe1005859.

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This research introduces rheACT, an innovative implantable actuator that utilizes magnetorheological (MR) fluids encased in hydrogel to deliver precision haptic feedback. The system leverages the tunable properties of MR fluids, which alter their viscosity in response to external magnetic fields, allowing for real-time, localized tactile feedback when controlled via electromagnetic coils. Designed to be injected sub-dermally, rheACT addresses challenges of biocompatibility and long-term stability through hydrogel encapsulation, which prevents fluid diffusion and can minimize immune responses.
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Marcato, Bruno Uhlmann, Camila Rodrigues Ferraz, Waldiceu Aparecido Verri Jr, et al. "Automatic Area Estimation of Mice Wound Images." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/kdmile.2024.241973.

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Image segmentation is a classic computer vision set of techniques that partitions a digital image into discrete groups of pixel-image segments to inform object detection and related tasks. It has been successfully explored in biological studies, such as in the identification of wounds. However, recent approaches towards using black-box deep learning algorithms for image and semantic segmentation of objects have higher computational costs than classic techniques. In this study, we evaluated the effectiveness of thresholding and deep learning techniques for semantic segmentation of wound images
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Schafer, S. A., and R. C. Powell. "A Monte Carlo method for the determination of optical properties of biological materials." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thee1.

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Biological materials are efficient scatterers of optical radiation, making direct measurement of their optical properties difficult. Analytical and semi-analytical approximations to the relevant scattering mechanisms are frequently used to model the propagation of light in these materials. Availability of high-speed personal computers has made the technique of Monte Carlo simulation a useful alternative to analytical approximations for measurement and prediction of the response of biological materials to optical irradiation. We describe a combined experimental and Monte Carlo method with which
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