Results for 'Cellular'

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  1.  94
    On Cellular Automata Representation of Submicroscopic Physics: From Static Space to Zuse’s Calculating Space Hypothesis.Victor Christianto, Volodymyr Krasnoholovets & Florentin Smarandache - manuscript
    In some recent papers (G. ‘t Hooft and others), it has been argued that quantum mechanics can arise from classical cellular automata. Nonetheless, G. Shpenkov has proved that the classical wave equation makes it possible to derive a periodic table of elements, which is very close to Mendeleyev’s one, and describe also other phenomena related to the structure of molecules. Hence the classical wave equation complements Schrödinger’s equation, which implies the appearance of a cellular automaton molecular model starting (...)
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  2. Cellular automata.Francesco Berto & Jacopo Tagliabue - 2012 - Stanford Encyclopedia of Philosophy.
    Cellular automata (henceforth: CA) are discrete, abstract computational systems that have proved useful both as general models of complexity and as more specific representations of non-linear dynamics in a variety of scientific fields. Firstly, CA are (typically) spatially and temporally discrete: they are composed of a finite or denumerable set of homogeneous, simple units, the atoms or cells. At each time unit, the cells instantiate one of a finite set of states. They evolve in parallel at discrete time steps, (...)
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  3.  32
    Cellular perception and misperception: Internal models for decision‐making shaped by evolutionary experience.Amir Mitchell & Wendell Lim - 2016 - Bioessays 38 (9):845-849.
    Cells live in dynamic environments that necessitate perpetual adaptation. Since cells have limited resources to monitor external inputs, they are required to maximize the information content of perceived signals. This challenge is not unique to microscopic life: Animals use senses to perceive inputs and adequately respond. Research showed that sensory‐perception is actively shaped by learning and expectation allowing internal cognitive models to “fill in the blanks” in face of limited information. We propose that cells employ analogous strategies and use internal (...)
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  4.  19
    Cellularity of Pseudo-Tree Algebras.Jennifer Brown - 2006 - Notre Dame Journal of Formal Logic 47 (3):353-359.
    Recall that for any Boolean algebra (BA) A, the cellularity of A is c(A) = sup{|X| : X is a pairwise-disjoint subset of A}. A pseudo-tree is a partially ordered set (T, ≤) such that for every t in T, the set {r ∊ T : r ≤ t} is a linear order. The pseudo-tree algebra on T, denoted Treealg(T), is the subalgebra of ℘(T) generated by the cones {r ∊ T : r ≥ t}, for t in T. We (...)
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  5.  13
    Cellular aging in depression: Permanent imprint or reversible process?Josine E. Verhoeven, Dóra Révész, Owen M. Wolkowitz & Brenda W. J. H. Penninx - 2014 - Bioessays 36 (10):968-978.
    Depression might be associated with accelerated cellular aging. However, does this result in an irreversible state or is the body able to slow down or recover from such a process? Telomeres are DNA‐protein complexes that protect the ends of chromosomes and generally shorten with age; and therefore index cellular aging. The majority of studies indicate that persons with depression have shorter leukocyte telomeres than similarly aged non‐depressed persons, which may contribute to the observed unfavorable somatic health outcomes in (...)
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  6.  21
    Cellular shellization: Surface engineering gives cells an exterior.Ben Wang, Peng Liu & Ruikang Tang - 2010 - Bioessays 32 (8):698-708.
    Unlike eggs and diatoms, most single cells in nature do not have structured shells to provide extensive protection. It is a challenge to artificially confer shell structures on living cells to improve their inherent properties and functions. We discuss four different types of cellular shellizations: man‐made hydrogels, sol‐gels, polyelectrolytes, and mineral shells. We also explore potential applications, such as cell storage, protection, delivery, and therapy. We suggest that shellization could provide another means to regulate and functionalize cells. Specifically, the (...)
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  7.  49
    Cellular and theoretical chimeras: Piecing together how cells process energy.Douglas Allchin - 1996 - Studies in History and Philosophy of Science Part A 27 (1):31-41.
  8.  2
    The Cellular Automaton Interpretation of Quantum Mechanics.Gerard T. Hooft - 2016 - Cham: Imprint: Springer.
    This book presents the deterministic view of quantum mechanics developed by Nobel Laureate Gerard 't Hooft. Dissatisfied with the uncomfortable gaps in the way conventional quantum mechanics meshes with the classical world, 't Hooft has revived the old hidden variable ideas, but now in a much more systematic way than usual. In this, quantum mechanics is viewed as a tool rather than a theory. The book presents examples of models that are classical in essence, but can be analysed by the (...)
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  9.  25
    Classifying cellular automata automatically: Finding gliders, filtering, and relating space-time patterns, attractor basins, and theZ parameter.Andrew Wuensche - 1999 - Complexity 4 (3):47-66.
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  10.  33
    Reversible cellular automata with memory of delay type.Ramón Alonso-Sanz - 2014 - Complexity 20 (1):49-56.
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  11.  13
    Cellular Categories and Stable Independence.Michael Lieberman, Jiří Rosický & Sebastien Vasey - forthcoming - Journal of Symbolic Logic:1-24.
    We exhibit a bridge between the theory of cellular categories, used in algebraic topology and homological algebra, and the model-theoretic notion of stable independence. Roughly speaking, we show that the combinatorial cellular categories (those where, in a precise sense, the cellular morphisms are generated by a set) are exactly those that give rise to stable independence notions. We give two applications: on the one hand, we show that the abstract elementary classes of roots of Ext studied by (...)
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  12.  15
    Cellular Features: Microcinematography and Film Theory.Hannah Landecker - 2005 - Critical Inquiry 31 (4):903.
  13.  3
    Cellular mechanisms of long-term depression: From consensus to open questions.F. Crépel - 1996 - Behavioral and Brain Sciences 19 (3):488-488.
    The target article on cellular mechanisms of long-term depression appears to have been well received by most authors of the relevant commentaries. This may be due to the fact that this review aimed to give a general account of the topic, rather than just describe previous work of the present author. The present response accordingly only raises questions of major interest for future research.
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  14.  39
    An Outline of Cellular Automaton Universe via Cosmological KdV equation.Victor Christianto, Florentin Smarandache & Yunita Umniyati - manuscript
    It has been known for long time that the cosmic sound wave was there since the early epoch of the Universe. Signatures of its existence are abound. However, such a sound wave model of cosmology is rarely developed fully into a complete framework. This paper can be considered as our second attempt towards such a complete description of the Universe based on soliton wave solution of cosmological KdV equation. Then we advance further this KdV equation by virtue of Cellular (...)
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  15.  53
    Multi-cellular engineered living systems: building a community around responsible research on emergence.Matthew Sample, Marion Boulicault, Caley Allen, Rashid Bashir, Insoo Hyun, Megan Levis, Caroline Lowenthal, David Mertz & Nuria Montserrat - 2019 - Biofabrication 11 (4).
    Ranging from miniaturized biological robots to organoids, multi-cellular engineered living systems (M-CELS) pose complex ethical and societal challenges. Some of these challenges, such as how to best distribute risks and benefits, are likely to arise in the development of any new technology. Other challenges arise specifically because of the particular characteristics of M-CELS. For example, as an engineered living system becomes increasingly complex, it may provoke societal debate about its moral considerability, perhaps necessitating protection from harm or recognition of (...)
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  16.  55
    Cellular spaces.Wolfgang Merzenich - 1980 - Theoretical Medicine and Bioethics 1 (1):51-65.
    This paper is an introduction into the theory of cellular spaces. From the more general model of nets of abstract cells which are interpreted by finite automata, it is shown how the model of cellular spaces is achieved by specialization. Cellular spaces are extremely homogeneous in function and in geometry. The relation between local and global behavior is regarded as the main topic of the theory. After a formal definition of cellular spaces, it is shown that (...)
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  17.  18
    Cellular and molecular diversity in skeletal muscle development: News from in vitro and in vivo.Jeffrey Boone Miller, Elizabeth A. Everitt, Timothy H. Smith, Nancy E. Block & Janice A. Dominov - 1993 - Bioessays 15 (3):191-196.
    Skeletal muscle formation is studied in vitro with myogenic cell lines and primary muscle cell cultures, and in vivo with embryos of several species. We review several of the notable advances obtained from studies of cultured cells, including the recognition of myoblast diversity, isolation of the MyoD family of muscle regulatory factors, and identification of promoter elements required for muscle‐specific gene expression. These studies have led to the ideas that myoblast diversity underlies the formation of the multiple types of fast (...)
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  18.  28
    Cellular lifespan and senescence: a complex balance between multiple cellular pathways.David Dolivo, Sarah Hernandez & Tanja Dominko - 2016 - Bioessays 38 (S1):33-44.
    The study of cellular senescence and proliferative lifespan is becoming increasingly important because of the promises of autologous cell therapy, the need for model systems for tissue disease and the implication of senescent cell phenotypes in organismal disease states such as sarcopenia, diabetes and various cancers, among others. Here, we explain the concepts of proliferative cellular lifespan and cellular senescence, and we present factors that have been shown to mediate cellular lifespan positively or negatively. We review (...)
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  19.  19
    A cellular automata model can quickly approximate UDP and TCP network traffic.Richard R. Brooks, Christopher Griffin & T. Alan Payne - 2004 - Complexity 9 (3):32-40.
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  20.  11
    The cellular and molecular events of central nervous system remyelination.Monique Dubois-Dalcq & Regina Armstrong - 1990 - Bioessays 12 (12):569-576.
    Central nervous system (CNS)Abbreviations: CNS=central nervous system; PNS=peripheral nervous system; MS=multiple sclerosis; MBP=myelin basic protein; MHC=major histocompatibility complex; EAE=experimental allergic encephalomyelitis; O‐2A=oligodendrocyte‐type 2 astrocyte; GC=galactocerebroside; GFAP=glial fibrillary acidic protein; FGF=fibroblast growth factor; IGF1=insulin‐like growth factor. regeneration is a subject of great interest, particularly in diseases causing a dramatic loss of neurons. However, some CNS diseases do not affect neurons but damage other cells, such as the myelin‐forming cells — called oligodendrocytes — which are also crucial to the harmonious function of (...)
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  21.  19
    Cellular oscillations and the regulation of growth: the pollen tube paradigm.José A. Feijó, Joaquim Sainhas, Terena Holdaway-Clarke, M. Sofia Cordeiro, Joseph G. Kunkel & Peter K. Hepler - 2001 - Bioessays 23 (1):86-94.
    The occurrence of oscillatory behaviours in living cells can be viewed as a visible consequence of stable, regulatory homeostatic cycles. Therefore, they may be used as experimental windows on the underlying physiological mechanisms. Recent studies show that growing pollen tubes are an excellent biological model for these purposes. They unite experimental simplicity with clear oscillatory patterns of both structural and temporal features, most being measurable during real‐time in live cells. There is evidence that these cellular oscillators involve an integrated (...)
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  22.  13
    Altered cellular responsiveness during ageing.Suresh I. S. Rattan & Anastassia Derventzi - 1991 - Bioessays 13 (11):601-606.
    The capacity of cells and organisms to respond to external stimuli and to maintain stability in order to survive decreases progressively during ageing. The mitogenic and stimulatory effects of growth factors, hormones and other agents are reduced significantly during cellular ageing. The sensitivity of ageing cells to toxic agents including antibiotics, phorbol esters, radiations and heat shock increases. This failure of homeostasis during cellular ageing does not appear to be due to any quantitative and qualitative defects in the (...)
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  23.  4
    Eukaryotic cellular intricacies shape mitochondrial proteomic complexity.Michael Hammond, Richard G. Dorrell, Dave Speijer & Julius Lukeš - 2022 - Bioessays 44 (5):2100258.
    Mitochondria have been fundamental to the eco‐physiological success of eukaryotes since the last eukaryotic common ancestor (LECA). They contribute essential functions to eukaryotic cells, above and beyond classical respiration. Mitochondria interact with, and complement, metabolic pathways occurring in other organelles, notably diversifying the chloroplast metabolism of photosynthetic organisms. Here, we integrate existing literature to investigate how mitochondrial metabolism varies across the landscape of eukaryotic evolution. We illustrate the mitochondrial remodelling and proteomic changes undergone in conjunction with major evolutionary transitions. We (...)
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  24. Cellular automata, modeling, and computation.Anouk Barberousse, Sara Franceschelli & Cyrille Imbert - unknown
    Cellular Automata (CA) based simulations are widely used in a great variety of domains, fromstatistical physics to social science. They allow for spectacular displays and numerical predictions. Are they forall that a revolutionary modeling tool, allowing for “direct simulation”, or for the simulation of “the phenomenon itself”? Or are they merely models "of a phenomenological nature rather than of a fundamental one”? How do they compareto other modeling techniques? In order to answer these questions, we present a systematic exploration (...)
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  25.  12
    Genes, cellular interactions and cell lineages in the determination of plant trichome spacing.Tsvi Sachs - 1996 - Bioessays 18 (6):443-445.
    Conceptual developments have defined concrete questions about the timing and precise location of cellular pattern formation. Plants in general, and the trichomes of Arabidopsis in particular, are remarkably suited for research on these problems. Genetic analysis requires the quantitative characterizations of the developmental processes by which patterning occurs. Larkin et al.(1) have provided measures of the non‐random distances between trichomes. They have also obtained evidence about the cell lineages leading to trichome development, and this evidence constrains the possible role (...)
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  26.  19
    Cellular mechanisms of signal transduction for neurotrophins.Alan R. Saltiel & Stuart J. Decker - 1994 - Bioessays 16 (6):405-411.
    The molecular cloning of new neuroactive growth factors and their receptors has greatly enhanced our understanding of important interactions among receptors and singnaling molecules. These studies have begun to illuminate some of the mechanisms that allow for specificity in neuronal signaling. Model cell systems, such as the PC‐12 pheochromocytoma cell line, express receptors for these different neurotirophic factors, leading to comparisons of signaling pathways for these factors. Upon binding their ligands, these receptors undergo phosphorylation on tyrosine residues, which directs their (...)
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  27.  35
    Plant cellular osmotica.Deng K. Niu, Ming G. Wang & Ya F. Wang - 1997 - Acta Biotheoretica 45 (2):161-169.
    To cope with the water deficit resulting from saline environment, plant cells accumulate three kinds of osmotica: salts, small organic solutes and hydrophillic, glycine-rich proteins. Salts such as NaCl are cheap and available but has ion toxicity in high concentrations. Small organic solutes are assistant osmotica, their main function is to protect cytoplasmic enzymes from ionic toxicity and maintain the integrity of cellular membranes. Hydrophillic, glycine-rich proteins are the most effective osmotica, they have some characteristics to avoid crystallization even (...)
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  28. Cognitive cellular automata.Pete Mandik - 2008 - In Complex Biological Systems:. Icfai University Press.
    In this paper I explore the question of how artificial life might be used to get a handle on philosophical issues concerning the mind-body problem. I focus on questions concerning what the physical precursors were to the earliest evolved versions of intelligent life. I discuss how cellular automata might constitute an experimental platform for the exploration of such issues, since cellular automata offer a unified framework for the modeling of physical, biological, and psychological processes. I discuss what it (...)
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  29.  18
    Cellularity and the Structure of Pseudo-Trees.Jennifer Brown - 2007 - Journal of Symbolic Logic 72 (4):1093 - 1107.
    Let T be an infinite pseudo-tree. In [2], we showed that the cellularity of the pseudo-tree algebra Treealg(T) was the maximum of four cardinals cT, lT, ϕT, and μT: roughly, cT is the "tallness" of T; lT is the "width" of T; ϕ is the number of "points of finite branching" in T; and μ is the number of "sections of no branching" in T. Here we ask: which inequalities among these four cardinals may be satisfied, in some sense, by (...)
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  30.  17
    Cellular and genetic responses to mesoderm induction in Xenopus.N. D. Hopwood - 1990 - Bioessays 12 (10):465-471.
    Mesodermal cell differentiation begins in response to an inductive interaction early in frog development. In parallel with the recent finding that certain peptide growth factors can induce mesoderm, early cellular and genetic responses to the induction have been discovered. I review here recent work on these responses, work that aims to understand how cells respond to inducers to form the complex pattern of the vertebrate mesoderm.
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  31.  13
    Cellular and molecular mechanisms underlying blood vessel lumen formation.Marta S. Charpentier & Frank L. Conlon - 2014 - Bioessays 36 (3):251-259.
    The establishment of a functional vascular system requires multiple complex steps throughout embryogenesis, from endothelial cell (EC) specification to vascular patterning into venous and arterial hierarchies. Following the initial assembly of ECs into a network of cord‐like structures, vascular expansion and remodeling occur rapidly through morphogenetic events including vessel sprouting, fusion, and pruning. In addition, vascular morphogenesis encompasses the process of lumen formation, critical for the transformation of cords into perfusable vascular tubes. Studies in mouse, zebrafish, frog, and human endothelial (...)
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  32.  15
    Cellular loci involved in the development of brain arteriovenous malformations.Zahra Shabani, Joana Schuerger & Hua Su - 2022 - Frontiers in Human Neuroscience 16:968369.
    Brain arteriovenous malformations (bAVMs) are abnormal vessels that are prone to rupture, causing life-threatening intracranial bleeding. The mechanism of bAVM formation is poorly understood. Nevertheless, animal studies revealed that gene mutation in endothelial cells (ECs) and angiogenic stimulation are necessary for bAVM initiation. Evidence collected through analyzing bAVM specimens of human and mouse models indicate that cells other than ECs also are involved in bAVM pathogenesis. Both human and mouse bAVMs vessels showed lower mural cell-coverage, suggesting a role of pericytes (...)
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  33.  12
    Cellular Adaptation Relies on Regulatory Proteins Having Episodic Memory.Razvan C. Stan, Darshak K. Bhatt & Maristela M. de Camargo - 2020 - Bioessays 42 (1):1900115.
    The ability to memorize changes in the environment is present at all biological levels, from social groups and individuals, down to single cells. Trans‐generational memory is embedded subcellularly through genetic and epigenetic mechanisms. Evidence that cells process and remember features of the immediate environment using protein sensors is reviewed. It is argued that this mnemonic ability is encapsulated within the protein conformational space and lasts throughout its lifetime, which can overlap with the lifespan of the organism. Means to determine diachronic (...)
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  34.  23
    A cellular and attentional network explanation of consciousness.Gonzalo Munévar - 2020 - Consciousness and Cognition 83:102982.
  35.  11
    Cellular self‐organization: An overdrive in Cambrian diversity?Filip Vujovic, Neil Hunter & Ramin M. Farahani - 2022 - Bioessays 44 (10):2200033.
    During the early Cambrian period metazoan life forms diverged at an accelerated rate to occupy multiple ecological niches on earth. A variety of explanations have been proposed to address this major evolutionary phenomenon termed the “Cambrian explosion.” While most hypotheses address environmental, developmental, and ecological factors that facilitated evolutionary innovations, the biological basis for accelerated emergence of species diversity in the Cambrian period remains largely conjectural. Herein, we posit that morphogenesis by self‐organization enables the uncoupling of genomic mutational landscape from (...)
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  36.  20
    Cellular toxicity of oxycholesterols.Tomasz Wielkoszyński, Katarzyna Gawron, Joanna Strzelczyk, Piotr Bodzek, Marzena Zalewska-Ziob, Gizela Trapp, Małgorzata Srebniak & Andrzej Wiczkowski - 2006 - Bioessays 28 (4):387-398.
    Oxycholesterols (OS) are formed from cholesterol or its immediate precursors by enzymatic or free radical action in vivo, or they may be derived from food. OS exhibit a wide spectrum of biological activities. In OS cytotoxicity, several mechanisms seem to be involved: e.g. inhibition of HMG‐CoA reductase activity, antiproliferative action, apoptosis induction, replacement of cholesterol by OS in membranes followed by changes in cellular membrane structure and functionality, and immune system functions alteration. Furthermore, OS may be mutagenic and carcinogenic (...)
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  37.  97
    The ethics of cellular reprogramming.Anna Smajdor & Adrian Villalba - forthcoming - Cellular Reprogramming 25.
    Louise Brown's birth in 1978 heralded a new era not just in reproductive technology, but in the relationship between science, cells, and society. For the first time, human embryos could be created, selected, studied, manipulated, frozen, altered, or destroyed, outside the human body. But with this possibility came a plethora of ethical questions. Is it acceptable to destroy a human embryo for the purpose of research? Or to create an embryo with the specific purpose of destroying it for research? In (...)
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  38.  54
    Duality Between a Deterministic Cellular Automaton and a Bosonic Quantum Field Theory in 1+1 Dimensions.Gerard ’T. Hooft - 2013 - Foundations of Physics 43 (5):597-614.
    Methods developed in a previous paper are employed to define an exact correspondence between the states of a deterministic cellular automaton in 1+1 dimensions and those of a bosonic quantum field theory. The result may be used to argue that quantum field theories may be much closer related to deterministic automata than what is usually thought possible.
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  39.  9
    The cellular internet: On‐line with connexins.Roberto Bruzzone, Thomas W. White & Daniel A. Goodenough - 1996 - Bioessays 18 (9):709-718.
    Most cells communicate with their immediate neighbors through the exchange of cytosolic molecules such as ions, second messengers and small metabolites. This activity is made possible by clusters of intercellular channels called gap junctions, which connect adjacent cells. In terms of molecular architecture, intercellular channels consist of two channels, called connexons, which interact to span the plasma membranes of two adjacent cells and directly join the cytoplasm of one cell to another. Connexons are made of structural proteins named connexins, which (...)
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  40.  40
    Cellular dimensions and cell dynamics, or the difficulty over capturing time and space in the era of electron microscopy.Ariane Dröscher - 2011 - Studies in History and Philosophy of Science Part A 42 (4):395-402.
    The introduction of electron microscopy profoundly altered biomedical research, providing a tool for a more detailed but at the same time a spatially and temporally more restricted visual analysis. Examining the case study of Golgi apparatus research in the 1950s and 1960s, it will be shown how microscopists handled these challenges, and how these confrontations modified the general concept of cellular organization. This will also shed light on the artifact debate and on the question of scientific realism in the (...)
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  41.  45
    The cellular and molecular basis of the Lyt‐1+2− T cell‐mediated tumor‐eradicating mechanism in vivo.Hiromi Fujiwara & Toshiyuki Hamaoka - 1986 - Bioessays 4 (1):19-23.
    This article reviews recent findings that bear on the mechanism(s) of tumor‐specific Lyt‐1+2− T cell‐mediated tumor eradication in vivo A tumor‐immune Lyt‐1+2− T cell subset has been identified which is distinct from T cells mediating in vitro cytotoxicity (Lyt‐1+2+/1−2+). The Lyt‐1+2− cells have a crucial role in rejecting tumor cells when adoptively transferred into T cell‐deprived B cell mice. This indicates that Lyt‐1+2− T cells do not necessarily require recruitment of the host's cytotoxic T cell precursors for implementation of in (...)
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  42. Ontologies of cellular networks.Arp Robert & Barry Smith - 2008 - Science Signalling 1 (50):1--3.
    A comparison of six alternative definitions of the term 'cellular pathway' against the background of ontological realism.
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  43.  24
    Cellular and molecular biology of alzheimer's disease.Donald L. Price, Edward H. Koo & Axel Unterbeck - 1989 - Bioessays 10 (2-3):69-74.
    Alzheimer's disease results from the degeneration of neurons. Degenerating nerve cells express atypical proteins, and amyloid is deposited. We suggest that some of these events are strongly influenced by genetic factors and age. Animal models should be useful in investigating the pathogenic mechanisms that lead to the brain abnormalities seen in this disease.
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  44. The cellular origin and growth of mentality or the soul.James Caswell Coggins - 1938 - [Asheville, N.C.,: The Biltmore Press.
     
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  45.  24
    Cellular mechanisms of cholinergic arousal.K. Krnjević - 1981 - Behavioral and Brain Sciences 4 (3):484-485.
  46.  44
    Cellular automata and the sciences of complexity.Howard Gutowitz - 1996 - Complexity 1 (6):29-35.
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  47.  6
    Cellular microbiology of infectious diseases.Dana J. Philpott & Michelle Rathman - 1999 - Bioessays 21 (3):258-260.
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  48.  8
    Cellular spaces.Wolfgang Merzenich - 1980 - Metamedicine 1 (1):51-65.
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  49.  13
    Cellular transformation, tyrosine kinase oncogenes, and the cellular adhesion plaque.Stuart Kellie - 1988 - Bioessays 8 (1):25-30.
    The study of adhesion plaques in normal and transformed cells provides a series of phenotypic markers by which the process of transformation can be followed. Several proteins which are concentrated in adhesion plaques have now been identified; a few of these can act as targets for tyrosine kinase. In an attempt to characterize the relationship between tyrosine phosphorylation and cell transformation, the reactions of three such proteins – vinculin, talin and integrin – with a range of tyrosine kinase oncogene products (...)
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  50.  12
    Cellular Tissue and the Dawn of the Cell Theory.J. Wilson - 1944 - Isis 35:168-173.
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