There is a growing group of researchers who believe that narrative skills are the bridge from oral language to literacy (Culatta, Page, & Ellis, 1983; Roth & Spekman, 1989; Westby, 1989). Narrative production requires higher level language skills to create a cohesive discourse unit using decontextualized language. Narrative ability has also been found to be the best predictor for normal speech and language development for preschoolers with language impairments (Bishop & Edmundson, 1987) and reading comprehension achievement for learning-disabled, school-age children (Feagans & Applebaum, 1986) . These same skills are prerequisites for achievement of literacy and school success. The purpose of the present study was to compare the story retelling ability of 4-year-olds who did not achieve normal expressive language milestones at age 2 with those who did. The original group size was 22 children with normal expressive vocabulary size at age 24-34 months, and 23 children whose expressive vocabulary size fell below the normal range at 24-34 months referred to as "late talkers."

Children's narrative language plays a critical role in guiding the transition between oral language and literacy (Roth & Spekman, 1989; Westby, 1989). Narrative comprehension and production by normally achieving and language delayed school-aged children have been studied. Many of these studies have involved story retellings. Few have studied how spontaneously produced narratives are organized especially by young children.

The purpose of this study was to examine the relationship between cognitive skills as measured by Piagetian tasks at approximately 2 years of age and expressive and receptive language scores from tests administered to the same children 2 years later. The questions this study sought to answer were: 1. Is there a significant difference in the performance of normal children and late-talking children on Piagetian cognitive assessment at age 2? 2. Is there a significant relationship between the cognitive scores at age 2 and language scores at age 4 in each of the two diagnostic groups? Sixty-four subjects participated in this study, 27 children with normal language and 37 children considered to be late talkers. These children are part of the Portland Language Development Project, a longitudinal study being conducted at Portland State University, Portland, Oregon. The instruments used to gather data for this study were the Uzgiris-Hunt Scales of Infant Psychological Development, the Test of Language Development (TOLD), and the Developmental Sentence Score (DSS). No significant difference was found between normal children and late-talking children on Piagetian tasks. No significant correlation was found between cognitive scores at age 2 and language scores at age 4. The only significant difference found between the groups was in relation to expressive language. The DSS and the expressive language score on the TOLD were significantly different between the normal and late talkers.

Crops grown in sandy soils require frequent irrigation. As a result, nitrogen (N) fertilizers. such as ammonium sulfate((NH4)2SO4), are leached from the rooting zone of crops. This loss of N increases N fertilizer use and the potential for nitrate (NO3-) contamination of water. Ammonium-loaded clinoptilolite (NH4+-Cp) may reduce this N leaching, increase N fertilizer use-efficiency, and prevent NO3- contamination of water while sustaining normal crop growth. The potential of NH4+-Cp as a N fertilizer was assessed in three leaching experiments without plants and two leaching experiments with plants. Pots containing rounded quartz sand were amended with (NH4)2SO4 and one of three NH4+-Cp size fractions: small ( Finally, in two leaching studies, pots containing the sandy soil were planted with sweet corn and grown for 35 d and 42 d, respectively. No differences were found among N sources in corn relative growth rates, leaf area ratios, and net assimilation rates, even though the corn plants that were fertilized with NH4+-Cp assimilated significantly more N than the (NH4)2SO4-fertilized plants. The pots fertilized with NH5+-Cp leached In the greenhouse, NH4+-Cp is a slow-release fertilizer that will reduce N leaching while maintaining normal plant growth. However, field studies are needed to confirm the suitability of NH4+-Cp as a slow-release fertilizer under field conditions.

Hydrogels have successfully proved themselves useful for drug delivery applications and several delivery routes have been developed over the years. The particular interest in this work was to design, synthesise and evaluate in situ forming drug eluting hydrogels, which have the potential to ameliorate the healing of cardiovascular diseases. With this aim the anti-inflammatory and immunosuppressant drugs rapamycin (Ra) and dexamethasone (Dex) were made water soluble by conjugation with polyethylene glycol (PEG). Ra was attached pendant from the terminal of PEGs while Dex was incorporated into dendritic structures grown from PEGs. These conjugates were further crosslinked into hydrogels by either conjugate or thiol-ene addition. The gel degradation was tuned to take between 5 and 27 days by using gel building block combinations that induced either 2 or 4 hydrolytically labile bonds per crosslink or by varying the number of crosslinking sites of the building blocks. The use of thiol-ene addition prolonged the degradation time nearly seven folded compared to conjugate addition as a more stable crosslink was formed. Two different formulations for gelling via conjugate addition were used (acrylate-thiol or vinyl sulphone-thiol) to deliver Ra, which was carried by either a 4- or 2-armed PEG. The elution kinetic for the respective gel formulation was of zero order during 15 and 19 days of gel degradation. In addition, Ra was PEGylated via esters, with a distance of either one or two carbons to a nearby thio-ether functionality. The difference in ester conjugation resulted in a slight but significant change in drug-PEG conjugate stability, which was mirrored by the increased time to reach the half amount of total drug elution; from 9.3 to 10.2 days and from 5.1 to 9.7 days for the two gel formulations, respectively. Dexamethasone was incorporated via an ester into dendrons of first and second generation pending from 2- and 4-armed PEGs at loadings of 2, 4 or 6 Dex molecules per carrier molecule. The resulting elution kinetic was of zero order during degradation periods of 5-27 days. Released Dex still possessed biological activity as determined by an in vitro cell assay. The novelties in this thesis are: (A) slow release of rapamycin obtained by covalent incorporation into hydrogels, (B) the use of unique PEG-based dendrimers to incorporate dexamethasone into a hydrogel and (C) zero order sustained release of dexamethasone at physiological pH. / Hydrogeler har framgångsrikt visat sig användbara för att leverera läkemedel och ett flertal metoder har utvecklats de senaste 20 åren. Fokuset i den här avhandlingen ligger på att designa, framställa och utvärdera läkemedelsutsöndrande hydrogeler som spontanhärdar in situ, vilka har potential att förbättra läkningen efter kardiovaskulär sjukdom. Med det syftet gjordes de anti-inflammatoriska och immunsänkande läkemedlen rapamycin (Ra) och dexametason (Dex) vattenlösliga genom att konjugeras med polyetylenglygol (PEG). Ra fästes kovalent längst ut på PEGar medans Dex inkluderades i dendritiska strukturer vilka byggdes från ändpunkten av PEGar. De här konjugaten tvärbands till hydrogeler via antingen konjugerad addition eller radikal polymerisation. Nedbrytningen av gelerna trimmades till att ta mellan 5 och 27 dagar genom att använda kombinationer av gelbyggstenar som bildar antingen 2 eller 4 hydrolyserbara estrar per tvärbindning eller genom att variera antalet tvärbindningspunkter hos byggstenarna. Användandet av radikal polymerisation i sig ledde till att nedbrytningen av geler tog nära sju gånger längre tid jämfört med geler gjorda via konjugerad addition eftersom stabilare tvärbindningar då formas. Två olika kombinationer för härdning via konjugerad addition (akryl-tiol eller vinylsulfon-tiol) användes för att leverera Ra som bars av antingen en 4- eller 2-armad PEG. Utsöndringskinetiken av Ra för de två kombinationerna var av nollte ordningen under de 15 och 19 dagar som gelerna degraderade. Dessutom, Ra PEGylerades via estrar med ett avstånd på antingen ett eller två kol till en närliggande tioeter. Skillnaden i avstånd ledde till en liten men signifikant skillnad i stabiliteten hos Ra-PEG konjugaten, vilket speglades i den förlängda tiden att nå halva mängden av den totala läkemedelsutsöndringen; från 9.3 till 10.2 dagar och från 5.1 till 9.7 dagar för de två respektive gelkombinationerna. Dex kopplades in via en esterbindning till dendroner av första och andra generationen byggda från PEGar med 2 eller 4 armar, vilket resulterade i att 2, 4 eller 6 Dex levererades per bärarmolekyl. Dex eluerade med nollte ordningens kinetik under degraderingsperioder på mellan 5 och 27 dagar. Vidbehålllen biologisk aktivitet av eluerad Dex bekräftades genom cellexperiment in vitro. Nyheterna i den här avhandlingen består av: (A) kontrollerad utsöndring av rapamycin uppnådd genom kovalent inbindning till hydrogeler, (B) användandet av unika PEGbaserade dendrimerer för kovalent inbindning av dexametason till hydrogeler och (C) nollte ordningens utsöndring av dexametason vid fysiologiskt pH. / <p>QC 20130204</p>

Slow population activities (SPAs) are population activities in the brain with frequencies of less than 5 Hz. SPAs are prominent in many brain structures including the neocortex and the hippocampus. Examples of SPAs include the neocortical EEG δ waves and the hippocampal large amplitude irregular activities during NREM sleep. These in vivo SPAs are believed to play a fundamental role in brain plasticity. However, despite many experimental attempts to understand SPAs, their mechanisms are still not well understood. It is unclear how the individual neurons can sustain low frequency activities on the network as a whole. In this thesis, we demonstrate that a mathematical and computational perspective is indispensable in understanding slow population phenomena and generating testable hypotheses for future experiments. Our focus is on a hippocampal slice preparation exhibiting spontaneous, inhibitory-based SPAs (hippocampal SPAs). We develop a multi-pronged approach consisting of parameter extraction, simulation, and mathematical analysis to elucidate the mechanisms responsible for hippocampal SPAs. Our results suggest that hippocampal SPAs are an emergent phenomenon. In other words, the network “slowness” is not directly represented by any particular individual element within the network. Instead, the low frequency activities on the network are the result of interactions between synaptic and intrinsic characteristics of individual inhibitory interneurons. Our simulations quantify these characteristics which underlie hippocampal SPAs. Specifically, our simulations predict that individual interneurons should 1) be moderately fast-spiking above threshold before the increase in spike frequency slows down with increasing drive, and 2) be well connected with one another for SPAs to occur. We also predict that excitatory noise levels have a larger influence on hippocampal SPAs than mean excitatory drive. Subsequent mathematical analyses show that the synaptic and intrinsic conditions of individual interneurons as predicted by simulations promote network multi-stability. Hippocampal SPAs occur when the network switches from one network firing state to another. Since many of the parameters we use for simulations are extracted from experiments, our simulation model is likely a reasonable representation of actual biological mechanisms in hippocampal networks.

Slow population activities (SPAs) are population activities in the brain with frequencies of less than 5 Hz. SPAs are prominent in many brain structures including the neocortex and the hippocampus. Examples of SPAs include the neocortical EEG δ waves and the hippocampal large amplitude irregular activities during NREM sleep. These in vivo SPAs are believed to play a fundamental role in brain plasticity. However, despite many experimental attempts to understand SPAs, their mechanisms are still not well understood. It is unclear how the individual neurons can sustain low frequency activities on the network as a whole. In this thesis, we demonstrate that a mathematical and computational perspective is indispensable in understanding slow population phenomena and generating testable hypotheses for future experiments. Our focus is on a hippocampal slice preparation exhibiting spontaneous, inhibitory-based SPAs (hippocampal SPAs). We develop a multi-pronged approach consisting of parameter extraction, simulation, and mathematical analysis to elucidate the mechanisms responsible for hippocampal SPAs. Our results suggest that hippocampal SPAs are an emergent phenomenon. In other words, the network “slowness” is not directly represented by any particular individual element within the network. Instead, the low frequency activities on the network are the result of interactions between synaptic and intrinsic characteristics of individual inhibitory interneurons. Our simulations quantify these characteristics which underlie hippocampal SPAs. Specifically, our simulations predict that individual interneurons should 1) be moderately fast-spiking above threshold before the increase in spike frequency slows down with increasing drive, and 2) be well connected with one another for SPAs to occur. We also predict that excitatory noise levels have a larger influence on hippocampal SPAs than mean excitatory drive. Subsequent mathematical analyses show that the synaptic and intrinsic conditions of individual interneurons as predicted by simulations promote network multi-stability. Hippocampal SPAs occur when the network switches from one network firing state to another. Since many of the parameters we use for simulations are extracted from experiments, our simulation model is likely a reasonable representation of actual biological mechanisms in hippocampal networks.

In the first part of this thesis, we will explore an iterative procedure to determine the detailed asymptotic behaviour of solutions of a certain class of nonlinear vector differential equations which approach a nonlinear sink as time tends to infinity. This procedure is indifferent to resonance in the eigenvalues. Some attention will be given to finding approximations to solutions which are themselves flows. Moreover, we will address the writing of one component in terms of another in the case of a planar system. In the second part of this thesis, we will explore the Michaelis-Menten mechanism of a single enzyme-substrate reaction. The focus is an analysis of the planar reduction in phase space or, equivalently, solutions of the scalar reduction. In particular, we will prove the existence and uniqueness of a slow manifold between the horizontal and vertical isoclines. Also, we will determine the concavity of all solutions in the first quadrant. Moreover, we will establish the asymptotic behaviour of all solutions near the origin, which generally is not given by a Taylor series. Finally, we will determine the asymptotic behaviour of the slow manifold at infinity. Additionally, we will study the planar reduction. In particular, we will find non-trivial bounds on the length of the pre-steady-state period, determine the asymptotic behaviour of solutions as time tends to infinity, and determine bounds on the solutions valid for all time. In the third part of this thesis, we explore the (nonlinear) Lindemann mechanism of unimolecular decay. The analysis will be similar to that for the Michaelis-Menten mechanism with an emphasis on the differences. In the fourth and final part of this thesis, we will present some open problems.

In the first part of this thesis, we will explore an iterative procedure to determine the detailed asymptotic behaviour of solutions of a certain class of nonlinear vector differential equations which approach a nonlinear sink as time tends to infinity. This procedure is indifferent to resonance in the eigenvalues. Some attention will be given to finding approximations to solutions which are themselves flows. Moreover, we will address the writing of one component in terms of another in the case of a planar system. In the second part of this thesis, we will explore the Michaelis-Menten mechanism of a single enzyme-substrate reaction. The focus is an analysis of the planar reduction in phase space or, equivalently, solutions of the scalar reduction. In particular, we will prove the existence and uniqueness of a slow manifold between the horizontal and vertical isoclines. Also, we will determine the concavity of all solutions in the first quadrant. Moreover, we will establish the asymptotic behaviour of all solutions near the origin, which generally is not given by a Taylor series. Finally, we will determine the asymptotic behaviour of the slow manifold at infinity. Additionally, we will study the planar reduction. In particular, we will find non-trivial bounds on the length of the pre-steady-state period, determine the asymptotic behaviour of solutions as time tends to infinity, and determine bounds on the solutions valid for all time. In the third part of this thesis, we explore the (nonlinear) Lindemann mechanism of unimolecular decay. The analysis will be similar to that for the Michaelis-Menten mechanism with an emphasis on the differences. In the fourth and final part of this thesis, we will present some open problems.

Sleep staging can be used to assess whether sleep structure is abnormal. According to the R&K rule, human sleep can be divided into four different stages: Awake, Light Sleep, Deep Sleep and Rapid-Eye-Movement (REM) Sleep. Conventionally, sleep staging are scored mainly by EEG signals and complementally by EOG and EMG signals. The goal of this study is to detect slow wave sleep (SWS) automatically by using different combinations of EEG, EOG, and EMG signals. In particular, a total of 16 combinations of channels have been studied. Based on high amplitude slow wave characteristics of SWS, this study develops many of feature variables to characterize SWS. A subset of these features are employed to design neural network classifier to detect SWS. This study has noted interpersonal-differences in physiological signals between people and proposes solutions to this problem to improve the performance of SWS detection. The number of tested subjects from two different sleep centers is 1318 and 947 subjects, respectively. These subjects were divided into five groups for training and testing data in order to test performance of our proposed approach. By applying the proposed approach to 1318 subjects, the experimental results show that the proposed method achieves kappa of 0.63 by using a single EEG channel, kappa of 0.6 by using two channels EOG and kappa of 0.66 by using the best combination of multi-channel singals. The size of dataset used in this work is significantly large than those of previous studies and thus provide more reliable experimental results. The experimental results show that the proposed approach can provide satisfactory performance in dealing with dataset with more than 1000 subjects.