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Interactional niche in the development of geometrical and spatial thinking in the familial context
(2016)
In the analysis of mathematics education in early childhood it is necessary to consider the familial context, which has a significant influence on development in early childhood. Many reputable international research studies emphasize that the more children experience mathematical situations in their families, the more different emerging forms of participation occur for the children that enable them to learn mathematics in the early years. In this sense mathematical activities in the familial context are cornerstones of children’s mathematical development, which is also affected by the ethnic, cultural, educational and linguistic features of their families. Germany has a population of approximately 82 million, about 7.2 million of whom are immigrants (Statisches Bundesamt 2009, pp.28-32). Children in immigrant families grow up with multiculturalism and multilingualism, therefore these children are categorized as a risk group in Germany. “Early Steps in Mathematics Learning – Family Study” (erStMaL-FaSt) is the one of the first familial studies in Germany to deal with the impact of familial socialization on mathematics learning. The study enables us to observe children from different ethnic groups with their family members in different mathematical play situations. The family study (erStMaL-FaSt) is empirically performed within the framework of the erStMaL (Early Steps in Mathematics Learning) project, which relates to the investigation of longitudinal mathematical cognitive development in preschool and early primary-school ages from a socio-constructivist perspective. This study uses two selected mathematical domains, Geometry and Measurement, and four play situations within these two mathematical domains.
My PhD study is situated in erStMaL-FaSt. Therefore, in the beginning of this first chapter, I briefly touch upon IDeA Centre and the erStMaL project and then elaborate on erStMaL-FaSt. As parts of my research concepts, I specify two themes of erStMaL-FaSt: family and play. Thereafter I elaborate upon my research interest. The aim of my study is the research and development of theoretical insights in the functioning of familial interactions for the formation of geometrical (spatial) thinking and learning of children of Turkish ethnic background. Therefore, still in Chapter 1, I present some background on the Turkish people who live in Germany and the spatial development of the children.
This study is designed as a longitudinal study and constructed from interactionist and socio-constructivist perspectives. From a socio-constructivist perspective the cognitive development of an individual is constitutively bound to the participation of this individual in a variety of social interactions. In this regard the presence of each family member provides the child with some “learning opportunities” that are embedded in the interactive process of negotiation of meaning about mathematical play. During the interaction of such various mathematical learning situations, there occur different emerging forms of participation and support. For the purpose of analysing the spatial development of a child in interaction processes in play situations with family members, various statuses of participation are constructed and theoretically described in terms of the concept of the “interactional niche in the development of mathematical thinking in the familial context” (NMT-Family) (Acar & Krummheuer, 2011), which is adapted to the special needs of familial interaction processes. The concept of the “interactional niche in the development of mathematical thinking” (NMT) consists of the “learning offerings” provided by a group or society, which are specific to their culture and are categorized as aspects of “allocation”, and of the situationally emerging performance occurring in the process of meaning negotiation, both of which are subsumed under the aspect of the “situation”, and of the individual contribution of the particular child, which constitutes the aspect of “child’s contribution” (Krummheuer 2011a, 2011b, 2012, 2014; Krummheuer & Schütte 2014). Thereby NMT-Family is constructed as a subconcept of NMT, which offers the advantage of closer analyses and comparisons between familial mathematical learning occasions in early childhood and primary school ages.
Within the scope of NMT-Family, a “mathematics learning support system” (MLSS) is an interactional system which may emerge between the child and the family members in the course of the interaction process of concrete situations in play (Krummheuer & Acar Bayraktar, 2011). All these topics are addressed in Chapter 2 as theoretical approaches and in Chapter 3 as the research method of this study. In Chapter 4 the data collection and analysis is clarified in respect of these approaches...
To survive and thrive in nature, animals need to adapt their behavior to their environment. Behavioral adaptation is primarily due to changes within the brain and involves changes in the brain proteome (the collection of proteins in the brain). However, thus far very few studies have examined the proteomic changes during behavioral adaptation. Hence, with this work I set out to determine the proteomic changes induced in the brain of zebrafish larvae undergoing behavioral adaptation. Specifically, I examined the changes induced by adaptation to the natural challenge of strong water currents. To this end I took advantage of an assay developed by my collaborators Luis Castillo and Soojin Ryu. In this assay 5 days old zebrafish larvae were exposed to strong water currents. Subsequently they exhibited a reduction in cortisol response and initial locomotion, and increased rheotaxis, as defined by increased swimming directly against the water current when re-exposed to the water current. I employed this assay to investigate the changes to the larval zebrafish brain proteome during behavioral adaptation. Furthermore, I developed a method for extracting larval brains and prepare them for mass-spectrometric analysis. This work not only allowed the comparison of the brain proteome of naïve and behaviorally-adapted larvae, but also resulted in the most comprehensive proteome of the zebrafish brain observed to date and the first proteome of the larval zebrafish brain. In total 4309 proteins were identified in the brain. When the proteome of naïve and behaviorally adapted larvae were compared 41 proteins were found to be more abundant and 16 to be less abundant in the pre-exposed larvae. Of these 57 proteins, 28 have previously been found to have functions in the brain, 17 with functions identified in other tissues, and 12 proteins that have yet to be described. From examining the most relevant function of each protein I propose a speculative model in which the larval brain undergoes behavioral adaptation and becomes less susceptible to stress (reduction in mecp2 and hsp90 protein), form new neuronal connections (regulation of arid1b, fmn2b, ptpra, mycbp2, and pcyt2), modulate existing connections (regulation of asic1b, calsenilin, ptpra, aplp2, dag1, olfm1b, mycbp2, smad3a, and acvr2a abundance), undergo spatial learning in form of navigating the water vortex (increases in calsenilin, ptpra, and pcyt2), show an elevation in protein turnover (increases in lamp2, Ublcp1, larp4b, and ublcp1), have increased and regulated energy production (increases or reduction in rpia, ldhbb, and mitochondrial proteins; nfs1, eci1, MRPS2B, MRPL4, and mrps2), and a decrease in neurogenesis (reduction in smad3a, and ric8a).
To further investigate proteomic changes during behavioral adaptation, I investigated the translational response by metabolically labeling the larval forebrain with ANL and visualizing the labeled proteins using the fluorescent non-canonical amino acid tagging (FUNCAT). I detected a general increase in translation within the forebrain as a result of the water vortex adaptation, which correlated well with the range of changes observed in the brain proteome. Specifically, a region within the forebrain correlated with a region in the adult zebrafish that is homologous to the mammalian limbic region.
Taken together these results show that during behavioral adaptation, protein synthesis is significantly increased in the larval forebrain, and that throughout the brain regulation of the proteome includes proteins that could support the following functions: changes or modifications in neuronal connectivity, the stress response, spatial learning, changes in energy metabolism and changes in neurogenesis.
Lastly, I set out to provide a new tool for zebrafish researchers. Together with Güney Akbalik I introduced metabolic labeling of newly synthesized RNA using 5-ethynyluridine (EU) and subsequent visualization with a copper catalyzed clickreaction to the zebrafish larvae. With 5 hours of EU incubation I was able to visualize newly synthesized RNA and identify pentylenetetrazole-induced transcriptional increases. With this I showed that EU labeling could be implemented to examining transcriptional changes within the brain of zebrafish larvae.
This thesis primarily covers a systematic assessment of quantum chemical methods to predict accurate 19F NMR shifts for fluoroarenes and magnetic exchange coupling constant (J) in organic spin dimers which are basic building blocks for rational designing of organic magnetic materials.
One of the most important goals in chemistry is to design and synthesize molecules with optimum properties. This thesis is divided into two parts: the first part comprises of a systematic effort to find an inexpensive quantum chemical method to predict accurate 19F NMR chemical shifts (within an accuracy of 2 ppm) for perfluoraromatics. Essentially, these strenuous efforts have been devoted to find best DFT functional and basis set combination to predict accurate 19F shifts. In addition,the influence of geometrical parameters, solvents, chemical environment was also analyzed. Various correction approaches were tested to correct the calculated shifts. The influence of various functionals and basis sets was also analyzed on the correction efficiency of an individual scheme. All the NMR calculation methods already being used and correction approaches were verified to predict shifts of three different fluorine-substituted molecular sets. These structure sets include fluorobenzenes, substituted benzenes and fluorine substituted aromatic fused rings (e.g. fluorine substituted anthracene).
In the second part of this thesis, we investigated the accurate prediction of magnetic exchange couplings (J) for organic spin dimers using quantum chemical methods. We analyzed the performance of various DFT methods and various post-HF methods, such as the CASSCF, CASPT2, MSTDISD, DDCI1, DDCI2, DDCI3, and FCI to predict magnetic exchange couplings (J).
Overview of the Chapters:
Chapter 1, presents a brief theoretical introduction to the Schrödinger equation and its application in quantum mechanical calculations, the Hartree-Fock approximation, basis sets, electron correlation energy, and density functional theory (using pure and hybrid functionals).
In chapters 2 and 3, an introduction is given for quantum chemical approaches used to calculate NMR parameters and magnetic exchange coupling constants. We discuss an effective spin Hamiltonian, the Breit-Pauli Hamiltonian (BPH), chemical shielding tensor and total energy relationship, measuring of the NMR spectra, and different techniques to deal with gauge origin problem. In addition, the theoretical background of magnetic exchange coupling constant calculation for spin dimers, the Heisenberg-Dirac-van-Vleck Hamiltonian (HDVV) and the Noodelman's broken-symmetry approach for calculating J values are briefly discussed.
Chapter 4, presents a benchmark study of various DFT functionals and basis sets to calculate accurate C-F bond lengths and 19F chemical shifts. High-resolution NMR spectral data of complex molecules are often difficult to interpret. Great scientific efforts have been devoted to search for a computational approach to interpret experimental NMR data. Quantum chemical methods such as the CCSD(T) method offer high accuracy in calculation of NMR parameters but being computationally too demanding they cannot be applied to large chemical systems. On the other hand, density functional theory (DFT) is achieving a steady progress among diversity of computational techniques. An accuracy within 2 ppm deviation from the experimental values in 19F chemical shifts can be achieved if the NMR calculation is performed using accurate equilibrium geometries, GIAO is used to tackle gauge origin problem and electron correlation is properly treated by employing a high level of theory (e.g. CCSD (T)/cc-pVQZ). We found that the calculation of 19F shielding tensors with the density-functional theory does not provide any noticeable improvement over the HF method. Post-HF theory demands too much computational resources that makes them impossible to use for large systems [35] .
We found that a quantitative prediction of NMR shifts can be made as the errors introduced by theoretical methods are cancelled out while calculating shifts. Various benchmark studies in this thesis show that 19F chemical shifts calculated for perfluoraromatics with the M06-L, BHandH, BHandHLYP in combination with the 6-311+G (2d,p) basis set are within 4 ppm deviation from the experiments. Furthermore, we noted that NMR calculations on accurate
C-F (e.g. PBE/6-311G (d, p)) bond lengths does not show any improvement if the NMR calculation and optimization are performed at the same level of theory. A significant improvement can be achieved on calculated 19F NMR shifts, if some correction schemes are used.
In chapter 4 we discuss various correction schemes applied to correct the calculated 19F chemical shifts. A multi-standard approach (MSTD) was used to minimize the error that may occur due to the difference in the nature of the reference compound and test molecules [122]. We propose another approach to correct shielding constants which is the reference corrected approach. This approach makes a correction similar to the MSTD. We also tested a Linear Regression Correction Approach and we noted that this is the best approach amongst all. This is found to be less dependent on the theoretical method. We use conformation averaging corrections to correct the calculated shifts[126].
...
Despite mounting evidence of the anthropogenic influence on the Earth's climate, underlying mechanisms of climate change often remain elusive. The investigation of periods of rapid climate change from geological archives may provide crucial information about magnitude, duration, teleconnections of and regional responses to global and hemispheric scale climate perturbations. Thus, paleoclimate reconstructions may help in mitigating and adapting to the challenges of the coming decades. The '8.2 kyr B.P. climatic event' has previously been proposed as a possible analogue for the future climatic scenario of a reduced Atlantic Meridional Overturning Circulation (AMOC). The catastrophic drainage of the Laurentide meltwater lakes through the Hudson Bay and into the Labrador Sea, that occurred ca. 8.47 kyr B.P., caused the slowdown of the AMOC around 8.2 kyr B.P.. Subsequently, reduced heat transfer towards Europe triggered a substantial decline in (winter) temperature and pronounced changes in atmospheric circulation patterns in many regions of the northern hemisphere, especially the North Atlantic realm and Europe. Among the regions affected by the 8.2 kyr B.P. climatic event, the Eastern Mediterranean region is of particular interest for both past and future climate developments. Traditionally characterized as a region highly sensitive to variations in the climate systems of the high and low latitudes, abrupt climate changes have the potential to strongly alter atmospheric circulation patterns and thus precipitation distribution in the region that may have severe socioeconomical consequences. The analysis of stable hydrogen (δD) and oxygen isotopes (δ18O) in precipitation is an excellent tool to trace changes in atmospheric circulation. Here, we present a comparative study of δD and δ18O in precipitation from the Eastern Mediterranean region both in a present day scenario and during the 8.2 kyr B.P. climatic event. We analyze the influences of topography, air mass trajectory, climate and seasonality among others the stable isotopic compositions of meteoric waters from the Central Anatolian Plateau (CAP), Turkey, in order to create a first-order template which may serve as a reference against which paleoenvironmental proxy data may be more accurately interpreted and tested. Further, we employ a multiproxy approach on the early Holocene peat deposits of the classical site of Tenaghi Philippon (TP), NE Greece, to investigate paleoenvironmental responses to northern hemisphere cooling during the 8.2 kyr B.P. climatic event and aim to determine changes atmospheric circulation from δD of leaf wax n-alkanes (δDwax).
Based on δD and δ18O data from more than 480 surface water samples from the CAP, we characterize moisture sources affecting the net isotopic budget of precipitation, manifesting in a systematic north-south difference in near-sea level moisture compositions. Rainout, induced by the major orographic barriers of the plateau, the Pontic Mountains to the north and the Taurus Mountains to the south, strongly shape the modern patterns of δD and δ18O. Stable isotope data from the semi-arid plateau interior provide clear evidence for an evaporitic regime that drastically affects surface water compositions. Strong evaporative enrichment contrasts rainfall patterns along the plateau margins, in part obfuscating the effects of topography and air mass trajectory.
Consequently, in order to address possible influences of evaporation on δD and δ18O in paleoprecipitation from TP, we analyze n-alkane abundances and distributions along with stable carbon isotope compositions of total organic carbon (δ13CTOC) and palynological data to estimate surface moisture conditions during the early Holocene (ca. 8.7 - 7.5 kyr B.P.) and especially during the 8.2 kyr B.P. climatic event. A period of relatively dry surface conditions from ca. 8.7 to 8.2 kyr B.P., indicated by low values of the 'aquatic index' (Paq ) and by elevated Average Chain Length (ACL) values, in concert with elevated δ13CTOC values, precedes the 8.2 kyr B.P. climatic event. The event itself is characterized by slightly wetter, more humid conditions, as suggested by an increase in Paq values as well as reduced ACL and δ13CTOC values between ca. 8.2 and 7.9 kyr B.P.. In the upper section of the core, a distinct change in paleohydrology becomes. A steep increase in Paq and a decrease in ACL values as well as variations in δ13CTOC from 7.9 kyr B.P. onwards imply considerably elevated surface moisture levels, likely caused by the increased activity of the karstic system of the surrounding mountains. Collectively, the biomarker proxies presented here, reveal a concise picture of changing moisture conditions at TP that is consistent with palynological data and provide detailed paleoenvironmental information for the analysis of δDwax as a paleoprecipitation proxy. The long-term decline in δDwax values characterizes the lower section of the core until ca. 8.2 kyr B.P.. The 8.2 kyr B.P. climatic event itself is connected to two distinct positive hydrogen isotope excursions: a minor shift in δDwax around 8.2 kyr B.P. and a major shift in δDwax between ca. 8.1 and 8.0 kyr B.P.. The upper part of the section shows a progressive trend towards higher δDwax values. With no indication of increased evaporitic conditions at TP during the 8.2 kyr B.P. climatic event, as evident in biomarker proxies and pollen data, we link shifts in δDwax to changes in Mediterranean air mass trajectories supplying precipitation to northeastern Greece, with variations in the relative contributions of northerly derived, D-depleted moisture and southerly-derived, D-enriched moisture. Possible control mechanisms include changes in the influence of the Siberian High and differences in the influence of the African and Asian monsoon circulations on anticyclonic conditions in the Mediterranean region as well as regional inflow of moist air from the Aegean Sea.
This thesis reports on the results obtained by expression photoactivatable adenylyl cyclase from Beggiatoa spp. (bPAC) in cholinergic neurons from Caenorhabditis elegans (C. elegans) and the characterization of the role of a single neuron, RIS, during locomotion in the adult animal.
Pharmacological activation of adenylyl cyclases through Forskolin is known to induce increased neuronal output in diverse model organisms through a protein kinase A (PKA) dependent mechanism. Nevertheless, pharmacological assays are not spatially restricted, do not allow for precise and acute activation nor to cessation of the signal. Thus, an optogenetic approach for was selected trough the expression of photoactivatable adenylyl cyclase from Beggiatoa spp. (bPAC) in cholinergic neurons of Caenorhabditis elegans (C. elegans). This model organism was chosen due to its transparency, ease of maintenance, fast generation cycles as well as for being an eutelic animal. Further, its genome has been fully sequenced and the connectome of the neuronal network is known, thus allowing for precise analysis of neuronal function. Furthermore, the molecular mechanisms governing neuronal functions are well conserved up to primates. Mainly two optogenetical tools were applied, bPAC and the light gated cation channel channelrhodopsin 2 (ChR2).
Behavioral assays of bPAC photostimulation in cholinergic neurons recapitulated previous work performed with the photoactivatable adenylyl cyclase from Euglena gracilis (EuPACa), in which swimming frequency and speed on solid substrate were increased. Electrophysiological recordings of body wall muscle (BWM) cells by Dr. Jana F. Liewald showed that bPAC photoactivation led to an increase in miniature postsynaptic current (mPSC) rate and, in contrast to ChR2 invoked depolarization, also amplitude. Analysis of mutants deficient in neuropeptidergic signaling (UNC- 31) via electrophysiology performed by Dr. Jana F. Liewald showed that the increase in mPSC amplitude due to bPAC photoactivation requires neuropeptide release. This was confirmed by co-expression of bPAC with the neuropeptide marker NLP-21::Venus and subsequent fluorescence analysis of release, exploiting the fact that released neuropeptides are ultimately degraded by scavenger cells (coelomocytes). These were enriched with NLP-21::Venus after bPAC photostimulation, but no fluorescence could be observed in the UNC-31 mutants.
Additional analysis of the electrophysiological data performed by myself showed no modulation of mPSC kinetics dues to neuropeptidergic release induced by bPAC. Hence, neuropeptide release and action sites were in the cholinergic neurons, the latter including cholinergic motoneurons.
Dr. Szi-chieh Yu provided electron microscopy images of high pressure frozen, bPAC or ChR2 expressing animals. These were tagged by myself for automatic analysis of ultrastructural properties of the cholinergic presynapse, also during photoactivation of both optogenetic tools. Photoactivation of both induced a reduction of synaptic vesicles, with ChR2 showing a more severe effect. In contrast to ChR2, though, bPAC also reduced the amount of dense core vesicles (DCV), the neuropeptide transporters. Additionally, long bPAC photoactivation as well as ChR2 photoactivation led to the appearance of large vesicles (LV), presumably in response to the increased SV fusion rate. bPAC photostimulation also induced an increase in SV size, not observed after ChR2 photostimulation. In UNC-31 mutants, bPAC photostimulation could not lead to the SV size increase, a further argument for the presynaptic effect of the released neuropeptide. Additional analysis of electrophysiology paired with pharmacology, performed by Dr. Jana F. Liewald, showed that mPSC amplitude increase requires the function of the vesicular acetylcholine transporter.
A further effect observed in the ultrastructure of bPAC photostimulated cholinergic presynapses was a shift in the distribution of SV regarding the dense projection. An analysis of cAMP pathway mutants showed that synapsin is required for bPAC induced behavior effects. Synapsin is known to mediate SV tethering to the cytoskeleton. Here, I show evidence for a new role of synapsin in controlling the availability of DCVs for fusion and thus, in neuropeptidergic signaling.
In the second part of my thesis I characterized the function of the GABAergic interneuron RIS in the neuronal network of C. elegans. RIS was shown to induce lethargus, a sleep-like state, during all larval molts, but its function in the adult animal was not yet described. Specific RIS expression of ChR2 achieved by a recombinase based system allowed to acutely depolarize the neuron during locomotion, which led to an acute behavioral stop. Diverse signal transduction pathway mutants were analyzed showing that the phenotype was induced by neuropeptidergic signaling. Through mutagenesis followed by whole genome sequencing data analysis as well as analysis of RIS specific RNA sequencing data further narrowed the signal transduction pathway to mediate the locomotion stop behavior. Since the neuropeptide and, to some extent, the neuron are conserved across nematodes, an argument is outlined in favor of the conservation of this sleep-like state.
In addition, since ChR2 could induce neuropeptidergic signaling from RIS, secretion of vesicles is regulated by variable pathways depending on the neuronal identity. Nevertheless, expression of bPAC in RIS allowed to optogenetically increase the probability of short stops, as observed by expression of a calcium sensor (GCaMP) in RIS and analysis of its intrinsic activity in the adult animal.
Die neuronalen Mechanismen, welche den meisten kognitiven Prozessen zu Grunde liegen, bestehen aus dem Zusammenspiel verschiedener Neuronen-Typen und deren spezifischen Funktionsmechanismen, sowohl in lokalen, als auch in globalen neuronalen Netzwerken. Eine funktionelle Interaktion mit diesen Netzwerken ist unumgänglich um das „kognitive“ Gehirn zu studieren, da neuronale Gruppen in einer hierarchischen, nicht linearen Weise miteinander interagieren, und dabei charakteristische raum-zeitliche Muster aufweisen. In dieser Arbeit untersuchten wir die Struktur und Funktion eines wichtigen Merkmals kortikaler Prozesse: Die neuronale gamma-Band Oszillation.
In this thesis, we study some features of the quantum chromodynamics (QCD) phase diagram at purely imaginary chemical potential using lattice techniques. This is one of the possible methodologies to get insights about the situation at finite density, where the sign problem prevents direct investigations from first principles.
We focus, in particular, on the Roberge-Weiss plane, where the phase structure with two degenerate flavours is studied both in the light and in the heavy quark mass limit. On the lattice, any result is affected by cut-off effects and so are the positions of the two tricritical points m_{tric}^{1,2} separating the second-order intermediate mass region from the first-order triple light and heavy mass regions. Therefore, changing the lattice spacing 'a', the values of m_{tric}^1 and m_{tric}^2 will change. In order to find their position in the continuum limit – i.e. for 'a' going to 0 – they have to be located on finer and finer lattices. Typically, in lattice QCD (LQCD) simulations, the temperature T is tuned through the bare coupling β, on which 'a' depends, while keeping Nt fixed. Hence, it is common to implicitly refer to how fine the lattice is just mentioning its temporal extent.
Using both Wilson and staggered fermions, we simulate Nf=2 QCD on Nt=6 lattices, varying the quark bare mass from the chiral (m_{u,d} going to 0) to the quenched (m_{u,d} going to infinity) limit. For each quark mass, a thorough finite scaling analysis is carried out, taking advantage of two different but consistent methods. In this way we identify the order of the phase transition locating, then, the position of the tricritical points. In order to convert our measurements to physical units we fix the scale measuring the lattice spacing as well as the pion mass corresponding to the quark bare mass used. This allows a comparison between different discretisation, getting a first idea of how serious are cut-off effects.
To be able to make a comparison between two different discretisations, we added an RHMC algorithm with staggered fermions to the CL2QCD software, a GPU code based on OpenCL, which we released in 2014. A considerable part of our work has been invested in ameliorating and optimising CL2QCD, as well as in developing new analysis tools regularly used next to it. Just to mention one, the multiple histogram method has been implemented in a completely general way and we took advantage of it in order to obtain more precise results. Finally, in order to efficiently handle and monitor the hundreds of simulations that are typically concurrently run in finite temperature LQCD, a completely new Bash library of tools has been developed. We plan to release it as a byproduct of CL2QCD in the near future.
In light of the global sea-level rise and climate change of the 21th century, it is important to look back into the recent past in order to understand what the future might hold. A multi-proxy data set was compiled to evaluate the influence of geomorphological and environmental factors, such as antecedent topography, subsidence, sea level and climate, on reef, sand apron and lagoon development in modern carbonate platforms through the Holocene. Therefore, a combination of remote sensing and morphological data from 122 modern carbonate platforms and atolls in the Atlantic, Indian and Pacific Oceans were conducted, along with a case study from the oceanic (Darwinian) barrier-reef system of Bora Bora, French Polynesia, South Pacific.
The influence of antecedent topography and platform size as factors controlling Holocene sand apron development and extension in modern atolls and carbonate platforms is hypothesized. Antecedent topography describes the elevation and relief of the underlying Pleistocene topography (karst) and determines the distance from the sea floor to the rising postglacial sea level. Maximum lagoon depth and marginal reef thickness, when available in literature, were used as proxies for antecedent topography. Sand apron proportions of 122 atolls and carbonate platforms from the Atlantic, Indian and Pacific Oceans were quantified and correlated to maximum lagoon depth, total platform area and marginal reef thickness. This study shows that sand apron proportions increase with decreasing lagoon depths. Sand apron proportions also increase with decreasing platform area. The interaction of antecedent topography and Holocene sea-level rise is responsible for variations in accommodation space and at least determines the extension of the lateral expansion of sand aprons. In general, sand apron formation started when marginal reefs approached relative sea level. Spatial and regional variations in sea-level history let sand apron formation start earlier in the Indo-Pacific region (transgressive-regressive) than in the Western Atlantic Ocean (transgressive).
The influence of sea level, antecedent topography and subsidence of a volcanic island on late Quaternary reef development was evaluated based on six rotary core transects on the barrier and fringing reefs of Bora Bora. This study was designed to revalue the Darwinian model, the subsidence theory of reef development, which genetically connects fringing reef, barrier reef and atoll development by continuous subsidence of the volcanic basement. Postglacial sea-level rise, and to a minor degree subsidence, were identified as major factors controlling Holocene reef development in that they have created accommodation space and controlled reef architecture. Antecedent topography was also an important factor because the Holocene barrier reef is located on a Pleistocene barrier reef forming a topographic high. Pleistocene soil and basalt formed the pedestal of the fringing reef. Uranium-Thorium dating shows that barrier and fringing reefs developed contemporaneously during the Holocene.
In the barrier–reef lagoon of Bora Bora, the influence of environmental factors, such as sea level and climate, tsunamis and tropical cyclones controlling Holocene sediment dynamics was evaluated based on sedimentological, paleontological, geochronological and geochemical data. The lagoonal succession comprises mixed carbonate-siliciclastic sediments overlying peat and Pleistocene soil. The multi-proxy data set shows variations in grain-size, total organic carbon (proxy for primary productivity), Ca and Cl element intensities (proxies for carbonate availability and lagoonal salinity) during the mid-late Holocene. These patterns could result from event sedimentation during storms and correlate to event deposits found in nearby Tahaa, probably induced by elevated cyclone activity. Accordingly, elevated erosion and runoff from the volcanic island and lower lagoonal salinity would be a result of rainfall during repeated cyclone landfall. However, Ti/Ca and Fe/Ca ratios as proxies for terrigenous sediment delivery peaked out in the early Holocene and declined since the mid-Holocene. Benthic foraminifera assemblages do not indicate reef-to-lagoon transport. Alternatively, higher and sustained hydrodynamic energy is probably induced by stronger trade winds and a higher-than-present sea level during the mid-late Holocene. The increase in mid-late Holocene sediment dynamics within the back-reef lagoon is supposed to display sediment-load shedding of sand aprons due to the oversteepening of slopes at sand apron/lagoon edges during their progradation rather than an increase in tropical storm activity during that time.
The influence of sea-level and climate changes on sediment import, composition and distribution in the Bora Bora lagoon during the Holocene is validated. Lagoonal facies succession comprises siderite-rich marly wackestones, foraminifera-siderite wackestones, mollusk-foraminifera marly packstones and mollusk-rich wackestones during the early-mid Holocene, and mudstones since the mid-late Holocene. During the early Holocene, enhanced weathering and iron input from the volcanic island due to wetter climate conditions led to the formation of siderite within the lagoonal sediments. The geochemical composition of these siderites shows that precipitation was driven by microbial activity and iron reduction in the presence of dissolved bicarbonate. Chemical substitutions at grain margins illustrate changes in the oxidation state and probably reflect changes in pore water chemistry due to sea-level rise and climate change (rainfall). In the late Holocene, sediment transport into the lagoon is hampered by motus on the windward side of the lagoon, which led to early submarine lithification within the lagoon.
Anankastic relatives
(2016)
This dissertation investigates a semantic puzzle in German concerning certain sentences with an intensional transitive verb and a modalized relative clause modifying its indefinite object. In their unspecific reading, the modal inside the relative clause seems to lack a semantic contribution and the construal of the relative clause appears spuriously ambiguous between a restrictive and an appositive reading. However, as a thorough discussion of a wide range of data reveals, the embedded modal is actually anaphoric to the matrix attitude and does contribute to the sentence meaning. But then, precisely due to its anaphoricity, this semantic contribution is restricted and in some cases very subtle; in particular, the semantic phenomenon under scrutiny cannot be analyzed as an instance of modal concord. Rather, previous observations on related data involving epistmic anaphoric modals and anankastic conditionals turn out to indicate the direction for an adequate analysis of the relevant semantic observations. For the restrictive construal, a conservative account is developed containing a fine-grained Lewis-Kratzer-style modal semantics, but with a twist: the anaphoricity of the modal is taken care of by restricting the anaphoricity of the modal to the ordering source of the matrix verb; moreover, the embedded modal receives a historical modal base. In this way compositionality issues and problems of cross-identification are avoided. Finally, the non-restrictive construal is analyzed as an instance of modal subordination, exploiting the well-studied parallel between appositive relatives and discourse anaphora.
Modern mobile devices offer a great variety of data that can be recorded. This broad range of information offers the possibility to tailor applications more to the needs of a user. Several context information can be collected, like e.g. information about position or movement. Besides integrated sensors, a broad range of additional sensors are available which can be connected to a mobile device. These additional sensors offer for example the possibility to measure physiological signals of a user.The human body offers a broad range of different signals. These signals have been used in several examples to conclude on the state of a user. The different signals allow to get a deeper insight into emotional or mental state of a user. Electrodermal activity gives feedback about the current arousal level of a user. Heart rate and heart rate variability can give an estimation about valence and mental load of a user. Several models exist to conclude from information like valence and arousal on different emotional states. Russell defined a two dimensional model, using valence and arousal to define affective states. Yerkes and Dodson developed a curve that expresses the relationship between arousal and performance of a user. Different examples exist, that use physiological signals to determine the user state for tailoring and adapting of applications. At the time of this work most of these examples did not address the usage of physiological signals for user state estimation in mobile applications and in mobile scenarios. Mobile scenarios lead to several challenges that need to be addressed. Influencing factors on physiological signals, like e.g. movement have to be controlled. Furthermore a user might be interrupted and influenced by environmental aspects. The combination of physiological data and context information might improve the interpretation of user state in mobile scenarios. In this work, we present a model that addresses the challenges of usage in mobile scenarios to offer an estimation of user state to mobile applications. To address a broad range of mobile applications, affective and cognitive state are provided as output. As input heart rate and electrodermal activity are used, as well as context information about movement and performance. Electrodermal activity is measured by a simple sensor that can be worn as a wristband. Heart rate is measured by a chest strap as used in sports. The input channels are transformed to affective and cognitive state based on a fuzzy rule based approach. With help of fuzzy logic, uncertainty can be expressed and the data continuously being processed. At the start, input channels are fuzzified by defined functions. After a that, a first fuzzy rule set transforms the input signals into values for valence, arousal and mental load. In a second step, these values and context information are transformed with another fuzzy rule set to values for affective and cognitive state. Affective state is based on the model of Russell, where valence and arousal are used to determine different emotional states. The output of the model are eight different affective states (alarmed, excited, happy, relaxed, tired, bored, sad and frustrated), which can have a high, medium, low or very low value as output. Cognitive state is determined based on mental load and context information about performance and movement. The output value can be very high, high, medium or low. The model was implemented as background service for Android devices. Different applications have been used for evaluation of the model. The model has been integrated in a multiplayer space shooter game, called ”Zone of Impulse”, which mainly benefits from the affective state. Cognitive state is more addressed in applications like a simple vocable trainer, which adapts difficulty based on user state. A study to evaluate different aspects of the model has been conducted. The study was designed to investigate the suitability of the model for mobile scenarios. The game ”zone of impulse” and the vocable trainer have been investigated in different configurations. Versions with integrated model have been compared to version of the applications without model, as well as versions of the model without context information. In total 41 participants took part in the study. A part of the participants had to do the tasks of the study in a mobile scenario, walking around several streets. The remaining participants had to do the tasks in a controlled environment in a sitting position. Different aspects were collected with ratings and questionnaires. Overall, participants rated that they did not feel impaired by the sensors they had to wear. The results showed, that the combination of physiological data and context information had an advantage against versions without context information in part of the ratings. A comparison between versions with and without model showed, that the subjective mental load ratings were significantly better for the version with model. Subjective ratings for aspects like fun, overstrain and support were mixed. When comparing the application versions in indoor and outdoor scenarios, no significant difference could be found, which leads to the assumption that there is no loss of interpretation quality in outdoor scenarios. The results also showed that the model seems to be robust enough to compensate the loss of an input channel, as there was no significant difference between application versions with full integrated model and versions with one channel lost. With the model developed in this work, context information and physiological data were combined to improve user state estimation. Furthermore pitfalls of user state estimation in mobile scenarios are overcome with this combination. However, the model has only been evaluated with a limited amount of applications and situations that mobile scenarios offer.