Streamflow from two drainages of the Davis County Experimental Watershed, Utah, was evaluated with respect to changes in distribution and volume following trenching of one of the drainages in 1964. Fifteen percent of the Halfway Creek drainage was trenched according to established U.S. Forest Service methods. Twelve years of records before trenching and four years of records after trenching were analyzed. Analysis of the annual streamflow, the low streamflow period, and the spring streamflow period indicated no significant change in either volume or distribution of streamflow as a result of trenching. This conclusion was further substantiated by supplemental data of precipitation, soil moisture, snowpack water equivalent, and vegetation.

Studies have shown that when young EFL (English as a Foreign Language) learners participate in oral collaboration tasks, it may have both positive and negative effects for them. Nearly all of the research done in this area has been carried out on older learners, which makes the information related to younger learners relatively narrow. In the last decade, however, research done with young learners has gradually increased. This has led to elementary school teachers being given a wider range of knowledge regarding oral collaborative tasks and their impact on their students. Through a handful of selected research carried out on young English learners, this study’s aim is to highlight both positive and negative impacts that oral collaboration tasks may have on students in elementary school (K3). All of the research from our selected articles was conducted through observation in the classroom, in which two of them included students’ own perceptions. Different factors can have an influence on oral collaboration tasks, such as patterns of interaction, task content, attitudes and feelings, and the teacher’s role.

京都大学 / 0048 / 新制・課程博士 / 博士(理学) / 甲第18058号 / 理博第3936号 / 新制||理||1567(附属図書館) / 30916 / 京都大学大学院理学研究科物理学・宇宙物理学専攻 / (主査)准教授 池田 隆介, 教授 川上 則雄, 教授 石田 憲二 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DGAM

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Die Struktur und Dynamik von Biomolekülen wird durch ein komplexes Wechselspiel mit Ionen und Wassermolekülen der Hydratationshülle beeinflusst. Die Wechselwirkungen sind kaum verstanden, zum Teil weil es an experimentellen molekularen Sonden mangelt. Lokale Schwingungen des RNA-Rückgrats bieten solch nicht-invasive Sonden, empfindlich gegenüber den ersten Schichten der RNA-Solvatationshülle. Die Empfindlichkeit rührt von elektrischen Feldern auf der biomolekularen Oberfläche. Diese Dissertation nutzt die Sensitivität aus, um mit Femtosekunden-2D-IR-Spektroskopie der asymmetrischen Phosphatstreckschwingung die Rolle positiv geladener Ionen, insbesondere Magnesium, Mg2+, zu untersuchen, die negativ geladene Phosphatgruppen des Rückgrats kompensieren. Erste Experimente an Dimethylphosphat, zusammen mit theoretischen Berechnungen, zeigen eine Blauverschiebung der Phosphatmode aufgrund der Bildung von Kontaktionenpaaren. Kurze Abstände zwischen Mg2+ und der Phosphatgruppe führen zu repulsiven Austauschwechselwirkungen, die die Potentialfläche der Schwingung stören. Bei Doppelstrang-RNA zeigt sich eine starke Abhängigkeit der Phosphatschwingung von lokalen Wasserstrukturen. Frequenzverschiebungen durch den Starkeffekt führen zu drei Schwingungsbanden, die unterschiedliche lokale Geometrien widerspiegeln. Elektrische Felder von solvatisierenden Wassermolekülen beeinflussen dabei das Bindungspotential. Abschließend erlaubt es die Blauverschiebung der Phosphatmode, die Bildung von Mg2+/Phosphat Kontaktionenpaaren in Transfer-RNA quantitativ zu verfolgen. Es wird gezeigt, dass diese die Tertiärstruktur der tRNA stabilisieren, indem sie die Coulombabstoßung zwischen negativ geladenen Phosphatgruppen kompensieren, besonders in kompakten Regionen. Die Dissertation demonstriert das Potential zeitaufgelöster Schwingungsspektroskopie, kombiniert mit theoretischen Beschreibungen auf molekularer Ebene, um die komplexen Interaktionen biomolekularer Solvatationsumgebungen zu erforschen. / The structure and dynamics of biomolecules are influenced by a complex interplay with ions and water molecules in the local hydration shell. The underlying interactions are poorly understood, partly because of a lack of experimental probes that can access the molecular scale. Local vibrations of the RNA backbone provide non-invasive probes sensitive to the first hydration layers of the RNA solvation shell via the imposed electric field on the biomolecular surface. This thesis exploits this sensitivity in femtosecond 2D-IR spectroscopy experiments on the asymmetric phosphate stretch vibration to investigate the role of positively charged ions, particularly the magnesium cation Mg2+, in counteracting the negatively charged phosphate backbone. Initial experiments with the model system dimethyl phosphate in combination with theoretical calculations report a frequency blue-shift due to the formation of contact ion pairs. Short distances between Mg2+ and phosphate lead to exchange repulsion interactions that perturb the vibrational potential energy surface. In double helical RNA, a strong dependence of the phosphate mode on the local hydration structure of the phosphate group is found. Three distinct vibrational peaks reflect different hydration geometries as a result of vibrational Stark shifts. Responsible for the frequency shifts are electric fields from solvating water molecules. Ultimately, the blue-shift of the phosphate mode allows to quantitatively follow the formation of Mg2+-phosphate contact pairs in transfer RNA systems. It is shown that these configurations stabilize the tertiary structure of tRNA molecules by efficiently compensating the Coulomb repulsion from negatively charged phosphate groups, particularly in highly congested regions. The thesis demonstrates the potential of time-resolved vibrational spectroscopy combined with theoretical descriptions on the molecular level to probe the complex interactions of biomolecular solvation environments.

In 1896, Frobenius began the study of character theory while factoring the group determinant. Later in 1963, Brauer pointed out that the relationship between characters and their groups was still not fully understood. He published a series of questions that he felt would be important to resolve. In response to these questions, Johnson, Mattarei, and Sehgal developed the idea of a weak Cayley table map between groups. The set of all weak Cayley table maps from one group to itself also has a group structure, which we will call the weak Cayley table group. We will examine the weak Cayley table group of AGL(1; p) and the dicyclic groups, a nd a normal subgroup of the weak Cayley table group for a special case with Camina pairs and Semi-Direct products with a normal Hall-π subgroup, and look at some nontrivial weak Cayley table elements for certain p-groups. We also define a relative weak Cayley table and a relative weak Cayley table map. We will examine the relationship between relative weak Cayley table maps and weak Cayley table maps, automorphisms and anti-automorphisms, characters and spherical functions.

Computational chemistry is a branch of modern chemistry that utilizes the computers to solve chemical problems. The fundamental of computational chemistry is Schrödinger equation. To solve the equation, researchers developed many methods based on BornOppenheimer Approximation, such as Hartree-Fock method and DFT method, etc. Computational chemistry is now widely used on reaction mechanism study and new chemical designing. In the first project described in Chapter 3, we designed phosphine oxide modified Ag3, Au3 and Cu3 nanocluster catalysts with DFT method. We found that these catalysts were able to catalyze the activation of H2 by cleaving the H-H bond asymmetrically. The activated catalyst-2H complex can be further used as reducing agent to hydrogenate CO molecule to afford HCHO. The mechanism study of these catalysts showed that the electron transfer from electron-rich metal clusters to O atom on the phosphine oxide ligand is the major driving force for H2 activation. In addition, different substituent groups on phosphine oxide ligand were tested. Both H affinity of metal and the substituent groups on ligand can both affect the activation energy. Another project described in Chapter 4 is the modelling of catalyst with DFT. We chose borane/NHC frustrated Lewis pair (FLP) catalyzed methane activation reaction as example to establish a relationship between activation energy and catalysts’ physical properties. After performing simulation, we further proved the well-accepted theory that the electron transfer is the main driving force of catalysis. Furthermore, we were able to establish a linear relationship for each borane between activation energy and the geometrical mean value of HOMO/LUMO energy gap (ΔEMO). Based on that, we introduced the formation energy of borane/NHC complex (ΔEF) and successfully established a generalized relationship between Ea and geometrical mean value of ΔEMO and ΔEF. This model can be used to predict reactivity of catalysts.

In today's network-dependent society, cyber attacks with network worms have become the predominant threat to confidentiality, integrity, and availability of network computing resources. Despite ongoing research efforts, there is still no comprehensive network-security solution aimed at controling large-scale worm propagation. The aim of this work is fivefold: (1) Developing an accurate combinatorial model of worm propagation that can facilitate the analysis of worm control strategies, (2) Building an accurate epidemiological model for the propagation of a worm employing local strategies, (3) Devising distributed architecture and algorithms for detection of worm scanning activities, (4) Designing effective control strategies against the worm, and (5) Simulation of the developed models and strategies on large, scale-free graphs representing real-world communication networks. The proposed pair-approximation model uses the information about the network structure--order, size, degree distribution, and transitivity. The empirical study of propagation on large scale-free graphs is in agreement with the theoretical analysis of the proposed pair-approximation model. We, then, describe a natural generalization of the classical cops-and-robbers game--a combinatorial model of worm propagation and control. With the help of this game on graphs, we show that the problem of containing the worm is NP-hard. Six novel near-optimal control strategies are devised: combination of static and dynamic immunization, reactive dynamic and invariant dynamic immunization, soft quarantining, predictive traffic-blocking, and contact-tracing. The analysis of the predictive dynamic traffic-blocking, employing only local information, shows that the worm can be contained so that 40\% of the network nodes are not affected. Finally, we develop the Detection via Distributed Blackholes architecture and algorithm which reflect the propagation strategy used by the worm and the salient properties of the network. Our distributed detection algorithm can detect the worm scanning activity when only 1.5% of the network has been affected by the propagation. The proposed models and algorithms are analyzed with an individual-based simulation of worm propagation on realistic scale-free topologies.