Devil's Gate Reservoir and its effect upon Pasadena's water supply

[Intro.] The Devil’s Gate Dam has been of great benefit to Pasadena’s water supply, in that it prevents a large amount of the flood waters of the Arroyo Seco being wasted into the ocean.

The Design and Synthesis of Transition Metal Complexes Supported by Non-innocent Ligand Scaffolds for Small Molecule Activation

This dissertation focuses on the incorporation of non-innocent or multifunctional moieties into different ligand scaffolds to support one or multiple metal centers in close proximity. Chapter 2 focuses on the initial efforts to synthesize hetero- or homometallic tri- or dinuclear metal carbonyl complexes supported by para-terphenyl diphosphine ligands. A series of [M₂M’(CO)₄]-type clusters (M = Ni, Pd; M’ = Fe, Co) could be accessed and used to relate the metal composition to the properties of the complexes. During these studies it was also found that non-innocent behavior was observed in dinuclear Fe complexes that result from changes in oxidation state of the cluster. These studies led to efforts to rationally incorporate central arene moieties capable managing both protons and electrons during small molecule activation.

Chapter 3 discusses the synthesis of metal complexes supported by a novel para-terphenyl diphosphine ligand containing a non-innocent 1,4-hydroquinone moiety as the central arene. A Pd⁰-hydroquinone complex was found to mediate the activation of a variety of small molecules to form the corresponding Pd⁰-quinone complexes in a formal two proton ⁄ two electron transformation. Mechanistic investigations of dioxygen activation revealed a metal-first activation process followed by subsequent proton and electron transfer from the ligand. These studies revealed the capacity of the central arene substituent to serve as a reservoir for a formal equivalent of dihydrogen, although the stability of the M-quinone compounds prevented access to the PdII-quinone oxidation state, thus hindering of small molecule transformations requiring more than two electrons per equivalent of metal complex.

Chapter 4 discusses the synthesis of metal complexes supported by a ligand containing a 3,5-substituted pyridine moiety as the linker separating the phenylene phosphine donors. Nickel and palladium complexes supported by this ligand were found to tolerate a wide variety of pyridine nitrogen-coordinated electrophiles which were found to alter central pyridine electronics, and therefore metal-pyridine π-system interactions, substantially. Furthermore, nickel complexes supported by this ligand were found to activate H-B and H-Si bonds and formally hydroborate and hydrosilylate the central pyridine ring. These systems highlight the potential use of pyridine π-system-coordinated metal complexes to reversibly store reducing equivalents within the ligand framework in a manner akin to the previously discussed 1,4-hydroquinone diphosphine ligand scaffold.

Chapter 5 departs from the phosphine-based chemistry and instead focuses on the incorporation of hydrogen bonding networks into the secondary coordination sphere of [Fe₄(μ₄-O)]-type clusters supported by various pyrazolate ligands. The aim of this project is to stabilize reactive oxygenic species, such as oxos, to study their spectroscopy and reactivity in the context of complicated multimetallic clusters. Herein is reported this synthesis and electrochemical and Mössbauer characterization of a series of chloride clusters have been synthesized using parent pyrazolate and a 3-aminophenyl substituted pyrazolate ligand. Efforts to rationally access hydroxo and oxo clusters from these chloride precursors represents ongoing work that will continue in the group.

Appendix A discusses attempts to access [Fe₃Ni]-type clusters as models of the enzymatic active site of [NiFe] carbon monoxide dehydrogenase. Efforts to construct tetranuclear clusters with an interstitial sulfide proved unsuccessful, although a (μ₃-S) ligand could be installed through non-oxidative routes into triiron clusters. While [Fe₃Ni(μ₄-O)]-type clusters could be assembled, accessing an open heterobimetallic edge site proved challenging, thus prohibiting efforts to study chemical transformations, such as hydroxide attack onto carbon monoxide or carbon dioxide coordination, relevant to the native enzyme. Appendix B discusses the attempts to synthesize models of the full H-cluster of [FeFe]-hydrogenase using a bioinorganic approach. A synthetic peptide containing three cysteine donors was successfully synthesized and found to chelate a preformed synthetic [Fe₄S₄] cluster. However, efforts to incorporate the diiron subsite model complex proved challenging as the planned thioester exchange reaction was found to non-selectively acetylate the peptide backbone, thus preventing the construction of the full six-iron cluster.

Genetic diversity and relationship of Yunnan native cattle breeds and introduced beef cattle breeds

In this study, random amplified polymorphic DNA (RAPD) analysis was used to estimate genetic diversity and relationship in 134 samples belonging to two native cattle breeds from the Yunnan province of China (DeHong cattle and DiQing cattle) and four intro

中国鸟类的DNA分类及系统发育研究概述

鸟类分类是鸟类学其他研究领域的基础,近年来分子技术的发展,以及计算机技术的应用为鸟类分类学和鸟类系统演化研究提供了新的研究手段,给传统的系统分类研究带来了新的机遇.Tautz等于2002年首先提出运用DNA序列作为生物分类系统的主要平台,即DNA分类学(DNA Taxonomy).而Hebert等于2003年则首次提出了DNA条形码(DNA Barcoding)的概念,并对其物种分类和鉴定意义予以肯定,建议利用线粒体细胞色素C氧化酶亚单位Ⅰ(COI)的特定区段来做DNA条形编码的基础.在鸟类DNA分类方面,国内学者应用线粒体基因Cut b,COI,c-mos,c-myc,12s rRNA,16s rRNA,ND2,ND3,CR,RAG-1以及核基因myoglobin introⅡ等不同片段对很多类群进行了分类探讨和系统发育研究.但是主要集中在鸡形目及雀形目鸟类.中国是鸟类多样性极其丰富的国家,近年来很多亚种、种及以上分类阶元依然存在问题,因此,中国鸟类物种的分类地位、系统发育与演化关系等依然有很多问题等待深入研究.目前国内基于COI的鸟类分类及系统发育研究有了一些报道,但是真正的DNA条形码工作尚需继续、深入地开展.

动态补偿的水下机器人路径规划

本文研究水下机器人在障碍位置未知条件下,进行路径规划的方法,使自治水下机器人以最短的行程距离,避开障碍,达到预定目标.针对变化的、复杂的海洋情况,本文采用动态与静态相结合、规划与控制相结合的手段,应用人工势场理论,引入距离误差做动态反馈补偿,实现全局规划控制.本文提出的这种适于自治水下机器人导航的动态路径规划-控制方法,可以解决障碍环境参数已知、未知的路径规划问题.仿真结果表明该方法具有较强的稳定性和适应性.

基于MCX314as的运动控制器设计

文章介绍了用C8051F120单片机和MCX314as组成运动控制器的方案。该方案应用存储器扩展的方法为运动控制芯片MCX314as和液晶显示模块MT22G06B的内部寄存器分配地址空间,从而实现C8051F120单片机对运动控制芯片和液晶模块的控制作用。文章还给出了MCX314和MT22G06B的驱动程序架构。

Concise introduction to image processing using C++

A Concise Intro to Image Processing using C++ presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noising methods based on partial differential equations, and new image compression methods such as fractal image compression and wavelet compression. It includes elementary concepts of image processing and related fundamental tools with coding examples as well as exercises. With a particular emphasis on illustrating fractal and wavelet compression algorithms, the text covers image segmentation, object recognition, and morphology. An accompanying CD-ROM contains code for all algorithms.

The role of formal structure in liking for popular music

The effect of restructuring the form of three unfamiliar pop/rock songs was investigated in two experiments. In the first experiment, listeners' judgements of the likely location of sections of novel popular songs were explored by requiring participants to place the eight sections (Intro - Verse 1 - Chorus 1 - Verse 2 - Chorus 2 - Bridge (solo) - Chorus 3 - Extro) of the songs into the locations they thought them most likely to occur within the song. Results revealed that participants were able to place the sections in approximately the right location with some accuracy, though they were unable to differentiate between choruses. In Experiment 2, three versions of each of the songs were presented in three different structures: intact (original form), medium restructured (the sections in a moderately changed order), and highly restructured (more severe restructuring). The results show that listeners' judgments of predictability and liking were largely uninfluenced by the restructuring of the songs, in line with findings for classical music. Moment-by-moment liking judgements of the songs demonstrated a change in liking judgements with repeated exposure, though the trend was downwards with repeated exposure rather than upwards. Detailed analysis of moment-by-moment judgements at the ends and beginnings of sections showed that listeners were able to respond quickly to intact songs, but not to restructured songs. The results suggest that concatenism prevails in listening to popular song at the expense of paying attention to larger structural features. © 2012 by the regents of the university of california all rights reserved.

Mikrolernen in der betrieblichen Weiterbildung unter Berücksichtigung der Persönlichkeitsdimension Extraversion

Die technischen Entwicklungen der heutigen Zeit ermöglichen neue Wege in der Kommunikation, die zunehmend auch auf andere Bereiche, beispielsweise das Lernen, übergreifen. Die vorliegende Arbeit beschäftigt sich mit den Einsatzmöglichkeiten des Mikrolernens in der betrieblichen Weiterbildung. Darüber hinaus wird der Frage nachgegangen, inwieweit die Berücksichtigung der Persönlichkeitsdimension der Extraversion mit ihren beiden Polen Intro- und Extraversion bei der didaktischen Gestaltung von Weiterbildungsmaßnahmen möglich und sinnvoll ist. Dafür wird die aktuelle wissenschaftliche Literatur zu den Themen Mikrolernen, Wissensmanagement und betriebliche Weiterbildung analysiert. Das Thema der Persönlichkeitsdimension Extraversion wird speziell unter dem Aspekt des Lernens betrachtet. Außerdem werden betriebswirtschaftliche und rechtliche Aspekte untersucht, die bei der Einführung neuer Lernformen in der betrieblichen Weiterbildung zu beachten sind. Das Ergebnis ist ein umfassender Leitfaden für die didaktische Gestaltung von Mikrolerneinheiten, die in ein ganzheitliches betriebliches Weiterbildungskonzept eingebettet sind. Eine praktische Checkliste für die Umsetzung im Unternehmen vervollständigt den Leitfaden.

Aprendizagem baseada em projetos na consolidação de conceitos de programação de linguagens SCRIPT

Relatório da prática de ensino supervisionada, Mestrado em Ensino de Informática, Universidade de Lisboa, 2014

La thérapie manuelle du rachis lombaire

Travail d'intégration réalisé dans le cadre du cours PHT-6113.

Study on period search methods of variable stars: Application to ASAS and CRTS databases

Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

Foundations of Web Science: Introductory Lecture

An introduction to the "Foundations of Web Science" module that overviews the module itself, plus the context of web science at Southampton in terms of WSRI and the new Doctoral Training Centre.

An interactive presentation on whistleblowing

A resource that focuses on using interactive multiple choice questions with accompanying scenario videos to enable university students to understand the legal and professional issues surrounding whistleblowing.