8 resultados para Time Diffusion-processes

em Brock University, Canada


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Extracellular hyper-osmotic (HYPER) stress increases glucose uptake to defend cell volume, when compared to iso-osmotic (ISO) conditions in skeletal muscle. The purpose of this study was to determine a time course for changes in common signaling proteins involved in glucose uptake during acute hyper-osmotic stress in isolated mammalian skeletal muscle. Rat extensor digitorum longus (EDL) muscles were excised and incubated in a media formulated to mimic ISO (290 ± 10 mmol/kg) or HYPER (400 ± 10 mmol/kg) extracellular condition (Sigma Media-199). Signaling mechanisms were investigated by determining the phosphorylation states of Akt, AMPK, AS160, cPKC and ERK after 30, 45 and 60 minutes of incubation. AS160 was found to be significantly more phosphorylated in HYPER conditions compared to ISO after 30 minutes (p<0.01). It is speculated that AS160 phosphorylation increases glucose transporter 4 (GLUT4) content at the cell surface thereby facilitating an increase in glucose uptake under hyper-osmotic stress.

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The purpose of this study was to determine the effect of increased soil moisture levels on the decomposition processes in a peat-extracted bog. Field experiments, in which soil moisture levels were manipulated, were conducted using 320 microcosms in the Wainfleet Bog from May 2002 to November 2004. Decomposition was measured using litter bags and monitoring the abundance of macro invertebrate decomposers known as Collembola. Litter bags containing wooden toothpicks (n=2240), filter paper (n=480) and Betula pendula leaves (n=40) were buried in the soil and removed at regular time intervals up to one year. The results of the litter bag studies demonstrated a significant reduction of the decomposition of toothpicks (p<0.001), filter paper (p<0.001), and Betula pendula leaves (p

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We examined three different algorithms used in diffusion Monte Carlo (DMC) to study their precisions and accuracies in predicting properties of isolated atoms, which are H atom ground state, Be atom ground state and H atom first excited state. All three algorithms — basic DMC, minimal stochastic reconfiguration DMC, and pure DMC, each with future-walking, are successfully impletmented in ground state energy and simple moments calculations with satisfactory results. Pure diffusion Monte Carlo with future-walking algorithm is proven to be the simplest approach with the least variance. Polarizabilities for Be atom ground state and H atom first excited state are not satisfactorily estimated in the infinitesimal differentiation approach. Likewise, an approach using the finite field approximation with an unperturbed wavefunction for the latter system also fails. However, accurate estimations for the a-polarizabilities are obtained by using wavefunctions that come from the time-independent perturbation theory. This suggests the flaw in our approach to polarizability estimation for these difficult cases rests with our having assumed the trial function is unaffected by infinitesimal perturbations in the Hamiltonian.

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This study focused on obtaining a deeper understanding of the perceived learning of female professionals during workplace transition. The women's lived experiences were explored through a feminist interpretive lens (Bloom, 1998). The study also drew upon concepts from adult learning such as barriers and facilitating factors to learning, resistance, transformative learning, and multiple ways of knowing. Five women participated in a 1 -hour interview and a focus group activity. The findings are presented under the 2 broad themes of perceived learning and factors affecting learning. The most common theme of perceived learning was participants' experience of increased self-knowledge. Additionally, while learning was thought of as a struggle, it provided either an opportunity for a reexamination of goals or a reexamination of self. Reflection by participants seemed to follow two orientations and other types of perceived learning included experiential, formal, and informal learning. In the broad theme of factors affecting learning, contradictions and conflict emerged through the examination of participants' multiple subjectivities, and within their naming of many factors as both facilitating factors and barriers to learning. The factors affecting learning themes included personal relationships, professional communities, selfesteem, attitude and emotion, the gendered experience of transition, time, and finances. The final theme explored participants' view of work and their orientations to the future. A proposed model of learning during workplace transition is presented (Figure 1 ) and the findings discussed within this proposed model's framework. Additional developmental theories of women (Josselson, 1987; Levinson & Levinson, 1996), communities of practice theories (Wenger, 1998), and career resilience theories (Pulley, 1995) are discussed within the context of the proposed model. Implications to practice for career counsellors, people going through workplace transition, human resource managers and career coaches were explored. Additionally implications to theory and future areas of research are also discussed.

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The relationship between the child's cogni tive development and neurological maturation has been of theoretical interest for many year s. Due to diff iculties such as the lack of sophisticated techniques for measur ing neurolog ical changes and a paucity of normative data, few studies exist that have attempted to correlate the two factors. Recent theory on intellectual development has proposed that neurological maturation may be a factor in the increase of short-term memory storage space. Improved technology has allowed reliable recordings of neurolog ical maturation.. In an attempt to correlate cogni tive development and neurological maturation, this study tested 3-and II-year old children. Fine motor and gross motor short-term memory tests were used to index cogni tive development. Somatosensory evoked potentials elici ted by median nerve stimulation were used to measure the time required for the sensation to pass along the nerve to specific points on the somatosensory pathway. Times were recorded for N14, N20, and P22 interpeak latencies. Maturation of the central nervous system (brain and spinal cord) and the peripheral nervous system (outside the brain and spinal cord) was indi~ated by the recorded times. Signif icant developmental di fferences occurred between 3-and ll-year-olds in memory levels, per ipheral conduction velocity and central conduction times. Linear regression analyses showed that as age increased, memory levels increased and central conduction times decreased. Between the ll-year-old groups, there were no significant differences in central or peripheral nervous system maturation between subjects who achieved a 12 plus score on the digit span test of the WISC-R and those who scored 7 or lower on the same test. Levels achieved on the experimental gross and fine motor short-term memory tests differed significantly within the ll-year-old group.

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Our objective is to develop a diffusion Monte Carlo (DMC) algorithm to estimate the exact expectation values, ($o|^|^o), of multiplicative operators, such as polarizabilities and high-order hyperpolarizabilities, for isolated atoms and molecules. The existing forward-walking pure diffusion Monte Carlo (FW-PDMC) algorithm which attempts this has a serious bias. On the other hand, the DMC algorithm with minimal stochastic reconfiguration provides unbiased estimates of the energies, but the expectation values ($o|^|^) are contaminated by ^, an user specified, approximate wave function, when A does not commute with the Hamiltonian. We modified the latter algorithm to obtain the exact expectation values for these operators, while at the same time eliminating the bias. To compare the efficiency of FW-PDMC and the modified DMC algorithms we calculated simple properties of the H atom, such as various functions of coordinates and polarizabilities. Using three non-exact wave functions, one of moderate quality and the others very crude, in each case the results are within statistical error of the exact values.

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This qualitative study addresses the question of how teachers negotiate meaning of new curriculum to better understand how curriculum is transformed from a theoretical construct to a practical one. Through interviews with 5 teachers, their experiences were examined as they negotiated the process of implementing new curriculum. Three theoretical constructs provided the entry point into the study: epistemology, teacher knowledge, and teacher learning. Using inductive analysis, 4 points or attributes of negotiation emerged: reference, growth, autonomy, and reconciliation. These attributes provided a theoretical framework from which a constructivist conceptualization of teacher learning and teacher knowledge could serve to understand the process of how teachers negotiate meaning of curriculum. Studied and theorized in this way, teacher knowledge and teacher learning are seen to be inextricably linked in a relationship that is dynamically changed by forces of stability and instability. Theorizing the negotiation of meaning from a constructivist epistemology also strengthened the assertion that negotiating meaning is a unique structural process, and that knowledge construction is therefore unique to each knower and subject to experience in a particular time and place. The implications for such a theory are, first, that it questions the legitimacy of privatized teacher practice and, second, that it calls for a renewed conceptualization of collegial network and relationship to strengthen the capacity for negotiating meaning of curricular initiatives. Understanding the relationship of curricular theory and negotiating meaning also has implications for curriculum development. In particular, the study highlights the necessity of professional discretion and the generative process of negotiating meaning.

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This lexical decision study with eye tracking of Japanese two-kanji-character words investigated the order in which a whole two-character word and its morphographic constituents are activated in the course of lexical access, the relative contributions of the left and the right characters in lexical decision, the depth to which semantic radicals are processed, and how nonlinguistic factors affect lexical processes. Mixed-effects regression analyses of response times and subgaze durations (i.e., first-pass fixation time spent on each of the two characters) revealed joint contributions of morphographic units at all levels of the linguistic structure with the magnitude and the direction of the lexical effects modulated by readers’ locus of attention in a left-to-right preferred processing path. During the early time frame, character effects were larger in magnitude and more robust than radical and whole-word effects, regardless of the font size and the type of nonwords. Extending previous radical-based and character-based models, we propose a task/decision-sensitive character-driven processing model with a level-skipping assumption: Connections from the feature level bypass the lower radical level and link up directly to the higher character level.