Ausgehend vom Rahmenmodell zur Persönlichkeitsentwicklung von Schüler/inne/n nach Pekrun/Helmke (1991), der „Eingrenzungs- und Kompromisstheorie der Berufswahl“ von Gottfredson (2005) und der Typologie des Aufbaus von Berufsidentitäten Fends (1991) wird der Berufsfindungsprozess von Schüler/inne/n der Grundschule (Kl. 5) bis in die Sekundarstufe (Kl. 9) untersucht. Analysiert werden die Berufswünsche von 600 bis 3000 Befragten und ausgewählte Variablen des längsschnittlichen Datensatzes der DFG-Projekte NOVARA, SABA und AIDA (geleitet von Prof. Dr. Renate Valtin). Es werden zwei Fragestellungen verfolgt: (1) Ist die Berufswahltheorie von Gottfredson geeignet, empirisch verifiziert die früh zu beobachtende geschlechtsspezifische Weichenstellungen in der beruflichen Orientierung fundiert zu erklären? (2) Lassen sich Zusammenhänge zwischen einer krisenhaften Bewältigung der Entwicklungsaufgabe „Berufswahl“ und der Entwicklung ausgewählter schulleistungsrelevanter Persönlichkeitsmerkmale nachweisen? Wenn ja, ab wann? Die Analysen bestätigten die Forschungsbefunde zur Geschlechtstypik der beruflichen Interessenorientierung, zum Wandel vom „Traumberuf“ zum realistischen Berufswunsch sowie zu Schwankungen der Häufigkeit geäußerter Berufswünsche in Abhängigkeit von Klassenstufe und Schulform. Des Weiteren bestätigte sich die in der Berufswahltheorie von Gottfredson beschriebene Bedeutung der Kategorie „Geschlecht“ für die Präferenz bestimmter Berufswünsche, des noch akzeptierten Prestiges der Berufswünsche und des mit der Realisierung und Ausübung des gewünschten Berufs verbundenen noch zu bewältigenden kognitiven Anspruchs. Zusammenhänge zwischen der Entwicklung schulleistungsrelevanter Persönlichkeitsmerkmale ab dem Grundschulalter und einer krisenhaften Bewältigung der Entwicklungsaufgabe „Entwicklung einer beruflichen Orientierung“ in der Sekundarstufe I konnten in Bezug auf die allgemeine Schulfreude der männlichen Befragten nachgewiesen werden. / Based on Rahmenmodell zur Persönlichkeitsentwicklung von Schüler/inne/n by Pekrun and Helmke (1991), "Eingrenzungs- und Kompromisstheorie der Berufswahl" Gottfredson (2005) and Typologie des Aufbaus von Berufsidentitäten Fends (1991), the career choice process of primary school students (Class 5) to secondary school (Class 9) is examined longitudinally. The career desires of 600 to 3000 subjects are examined longitudinally, along with selected variables of the longitudinal dataset from the DFG projects NOVARA, SABA and AIDA (led by Prof. Dr. Renate Valtin). Two questions are considered: (1) is the ''Circumscription und Compromise Theory'' according to Gottfredson suitable for explaining the empirically verified gender-specific directions in career orientation, which can be observed early, on a theoretical basis? (2) Can interconnections between a critical mastering of the development task "career selection" and the development of selected school performance-related personality attributes be demonstrated? If yes, from when? Analyses confirm the gender-specification of career orientation, about the change from "dream job" to realistic career choice and about the fluctuations in frequency of stated career desires depending on school year and type of school. Moreover, the importance of the category "gender" described in the "circumscription and compromise theory" of career choice by Gottfredson is confirmed for the preference of certain career desires, of the still accepted prestige of the career desires and of the cognitive requirement yet to be mastered in conjunction with the realisation and exercise of the desired profession. Connections between the development of school performance-relevant personality attributes from primary school age and a critical mastering of the development task "development of a career orientation" in Sekundarstufe I (equivalent to Key Stage 3) could be demonstrated with regard to general happiness at school of the male subjects.

Memoria (licenciado en ciencias jurídicas y sociales) / La Ley 21.000, de 2017, vino a reemplazar a la antigua institucionalidad de la Superintendencia de Valores y Seguros (SVS) creada por el DL 3.538, creando un nuevo órgano, la Comisión para el Mercado Financiero (CMF), en adelante la Comisión. La ley 21.000 dota a la Comisión de la potestad de aplicar multas en interés fiscal a los directores y gerentes de sociedades anónimas sujetas a su fiscalización que incurren en infracciones a las leyes, reglamentos, estatutos y demás normas que rijan las sociedades anónimas abiertas, ya sea por órdenes o instrucciones impartidas por la misma Comisión. Este poder sancionatorio de la Comisión está limitado por el principio de legalidad, el cual solo permite multar por las causales que la ley expresamente señale. Sin embargo, la Comisión se ha amparado en el artículo 41 de la Ley de Sociedades Anónimas, que consagra el deber de cuidado o diligencia de los directores, para estimar que las faltas a estos deberes deben ser sancionadas administrativamente por incurrir en una infracción a la Ley de Sociedades Anónimas. De modo que no se sanciona por la infracción a la ley, sino, por una infracción a un deber de cuidado, lo que es un terreno arbitrario y de dudosa legalidad. En el presente trabajo se revisará las bases regulatorias de los órganos fiscalizadores, los cambios al sistema y, finalmente, proponer algunas soluciones a las carencias del mismo.

Welding of duplex stainless steel pipeline material for the oil and gas industry is now common practice. To date, research has been conducted primarily on the parent material and heat affected zones in terms of its susceptibility to various forms of corrosion. However, there has been little research conducted on the degree of sensitisation of the various successive weld layers, namely the root, fill and cap layers. The focus of this research study was to: (i) provide an in-depth microstructural analysis of the various weld passes, (ii) study the mechanical properties of the weld regions; (iii) determine degree of sensitisation of the various weld passes; and (iv) investigate the residual stress levels within the various regions/ phases of the welds. Four test conditions were prepared using manual Gas Tungsten Arc Welding with 'V' and 'U' bevel configuration. Structural analysis consisted of (i) optical microscopy, scanning electron microscopy and magnetic force microscopy; (ii) ferrite determination using Magna-Gauge, Fischer Ferrite-scope and Point Count method. Mechanical testing consisted of Vickers hardness measurements, Charpy impact studies and transverse tensile testing. The degree of sensitisation was determined by three test methods: a modified ASTM A262, ASTM A923 and a modified Double Loop Electrochemical Potentiodynamic Reactivation (DL-EPR) test. Residual stress levels were determined using two neutron diffraction techniques: a reactor source and a time of flight spallation source. Microstructure observed by optical microscopy and magnetic force microscopy shows the formation of both fine and coarse structures within the weld metal. There was no evidence of secondary austenite, being present in any of the weld metal conditions examined. In addition, no detrimental intermetallic phases or carbides were present. The DL-EPR test results revealed that the fill layer regions for all four conditions and the base material showed the highest values for Ir/Ia and Qr/Qa. All four test conditions passed the ASTM A262 and A923 qualitative type tests, even under restricted and modified conditions. Residual stress measurements by neutron diffraction conducted at Lucas Heights Hi-Flux Reactor revealed that the ferrite phase stress was tensile in the heat affected zones and weld, and appeared to be balanced by a local compressive austenite phase stresses in the normal and transverse directions. Residual stress measurements by neutron diffraction conducted at Los Alamos Nuclear Science Centre revealed that in the hoop direction, ferrite (211) and austenite (311) exhibit tensile strains in the weld. In the axial and radial direction, the strains for both phases were more compressive. Correlations between the degree of sensitization and microstructural changes / ferrite content were observed. Higher degrees of sensitization (Ir/Ia and Qr/Qa) were associated with reduced ferrite (increased austenite) content. Correlations between the stresses generated, the evolved microstructures and degree of sensitization were evident. Stresses within the cap region were generally shown to be of a tensile nature in the transverse and longitudinal direction. In summary, the study has shown that correlations exist between the weld microstructure, susceptibility to sensitisation and levels / distribution of internal stresses within the weld regions.

Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly. This thesis investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity and scalability. The claim is supported by a case study on the renown medical ontology SNOMED CT and extensive empirical evaluation on several large-scale biomedical ontologies.

Memoria (licenciado en ciencias jurídicas y sociales) / Con ocasión de los múltiples casos conocidos por el Tribunal de Defensa de la Libre Competencia en Chile en materia de contratación pública, este trabajo se centra, en primer lugar, en el análisis de las interacciones que existen entre ambos sectores de nuestro ordenamiento jurídico tanto a nivel dogmático –por la vía de los principios consagrados por la Constitución Política de la República de Chile– como a nivel legal y reglamentario –las que, como demostraremos, son escasas– a fin de escudriñar cómo los entes legislativos han dado reconocimiento expreso o tácito a tal vinculación. En segundo lugar, y a efectos de demostrar la necesidad de que ambos estatutos jurídicos se relacionen de forma más íntima y expresa, señalamos algunos pronunciamientos judiciales y doctrinales que explican cómo hacer aplicable, por la vía del principio de juridicidad administrativa, la obligación de observar por parte de todos los órganos de la Administración del Estado, en todas sus actuaciones, las normas contenidas en el DL 211. En tercer lugar, identificamos los casos en que el H. Tribunal de Defensa de la Libre Competencia ha emitido pronunciamientos respecto de conductas anticompetitivas en el marco de procesos de licitación regidos por la Ley N° 19.886, conociendo y resolviendo demandas incoadas por particulares y requerimientos interpuestos por la Fiscalía Nacional Económica en contra de diversos órganos administrativos licitantes, a fin de extraer de ellos los criterios que dicho Tribunal ha aplicado. Enseguida, expondremos algunas directrices que el ente persecutor de infracciones a la libre competencia en Chile, la FNE, ha recomendado a la Administración para, preventivamente, evitar conductas anticompetitivas y también ciertos lineamientos que la Organización para la Cooperación y el Desarrollo Económico (OCDE) ha aconsejado para resguardar la competencia en procesos licitatorios. Por último, hemos escogido un caso de cierta relevancia mediática y relativamente reciente para ser analizado a la luz de todos los planteamientos que se expusieron a lo largo del trabajo, cual es el de Sonda con Registro Civil, en el marco de la licitación para la provisión de servicios de identificación personal

This paper describes a wireless communication model based on IEEE 802.11n. Typical methods for channel equalisation and estimation are described, such as the least squares method and the minimum mean square error method. Equalization based on deep learning was used as well. Coded and uncoded bit error rate was used as a performance identifier. Experiments with topology of the neural network has been performed. Programming languages such as MATLAB and Python were used in this work.

Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly. This thesis investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity and scalability. The claim is supported by a case study on the renown medical ontology SNOMED CT and extensive empirical evaluation on several large-scale biomedical ontologies.

AMI Meeting Corpus (AMI) -databasen används för att undersöka igenkännande av gruppaktivitet. AMI Meeting Corpus (AMI) -databasen ger forskare fjärrstyrda möten och naturliga möten i en kontorsmiljö; mötescenario i ett fyra personers stort kontorsrum. För attuppnågruppaktivitetsigenkänninganvändesbildsekvenserfrånvideosoch2-dimensionella audiospektrogram från AMI-databasen. Bildsekvenserna är RGB-färgade bilder och ljudspektrogram har en färgkanal. Bildsekvenserna producerades i batcher så att temporala funktioner kunde utvärderas tillsammans med ljudspektrogrammen. Det har visats att inkludering av temporala funktioner både under modellträning och sedan förutsäga beteende hos en aktivitet ökar valideringsnoggrannheten jämfört med modeller som endast använder rumsfunktioner[1]. Deep learning arkitekturer har implementerats för att känna igen olika mänskliga aktiviteter i AMI-kontorsmiljön med hjälp av extraherade data från the AMI-databas.Neurala nätverks modellerna byggdes med hjälp av KerasAPI tillsammans med TensorFlow biblioteket. Det finns olika typer av neurala nätverksarkitekturer. Arkitekturerna som undersöktes i detta projektet var Residual Neural Network, Visual GeometryGroup 16, Inception V3 och RCNN (LSTM). ImageNet-vikter har använts för att initialisera vikterna för Neurala nätverk basmodeller. ImageNet-vikterna tillhandahålls av Keras API och är optimerade för varje basmodell [2]. Basmodellerna använder ImageNet-vikter när de extraherar funktioner från inmatningsdata. Funktionsextraktionen med hjälp av ImageNet-vikter eller slumpmässiga vikter tillsammans med basmodellerna visade lovande resultat. Både Deep Learning användningen av täta skikt och LSTM spatio-temporala sekvens predikering implementerades framgångsrikt. / The Augmented Multi-party Interaction(AMI) Meeting Corpus database is used to investigate group activity recognition in an office environment. The AMI Meeting Corpus database provides researchers with remote controlled meetings and natural meetings in an office environment; meeting scenario in a four person sized office room. To achieve the group activity recognition video frames and 2-dimensional audio spectrograms were extracted from the AMI database. The video frames were RGB colored images and audio spectrograms had one color channel. The video frames were produced in batches so that temporal features could be evaluated together with the audio spectrogrames. It has been shown that including temporal features both during model training and then predicting the behavior of an activity increases the validation accuracy compared to models that only use spatial features [1]. Deep learning architectures have been implemented to recognize different human activities in the AMI office environment using the extracted data from the AMI database.The Neural Network models were built using the Keras API together with TensorFlow library. There are different types of Neural Network architectures. The architecture types that were investigated in this project were Residual Neural Network, Visual Geometry Group 16, Inception V3 and RCNN(Recurrent Neural Network). ImageNet weights have been used to initialize the weights for the Neural Network base models. ImageNet weights were provided by Keras API and was optimized for each base model[2]. The base models uses ImageNet weights when extracting features from the input data.The feature extraction using ImageNet weights or random weights together with the base models showed promising results. Both the Deep Learning using dense layers and the LSTM spatio-temporal sequence prediction were implemented successfully.

Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. In thisstudy, rather than using traditional denoising metrics such as MSE or PSNR for evaluation, we use a radiomic approach combined with 3D printed phantoms as a "groundtruth" to compare with. Our approach of having a ground truth ensures that we withabsolute certainty can say what a scanned tumor is supposed to look like and compareour results to a true value. This performance metric is better suited for evaluation thanMSE since we want to maintain structures and edges in tumors and MSE-evaluationrewards over-smoothing. Here we apply U-Net networks to images of 3D printed tumors. The 4 tumors and alung phantom were printed with PLA filament and 80% fill rate with a gyroidal patternto mimic soft tissue in a CT-scan while maintaining isotropicity. CT images of the 3Dprinted phantom and tumors were taken with a GE revolution DE scanner at KarolinskaUniversity Hospital. The networks were trained on the 2016 NIH-AAPM-Mayo ClinicLow Dose CT Grand Challenge dataset, mapping Low Dose CT images to Normal DoseCT images using three different loss functions, l1, vgg16, and vgg16_l1. Evaluating the networks on RadiomicsShape features from SlicerRadiomics® we findcompetitive performance with TrueFidelityTM Deep Learning Image Reconstruction (DLIR)by GE HealthCareTM. With one of our networks (UNet_alt, vgg16_l1 loss function with32 features, and batch size 16 in training.) outperforming TrueFidelity in 63% of caseswhen evaluated by counting if a radiomic feature has a lower relative error comparedto ground truth after our own denoising for four different kind of tumors. The samenetwork outperformed FBP in 84% of cases which in combination with the majority ofour networks performing substantially better against FBP than TrueFidelity shows theviability of DLIR compared to older methods such as FBP.

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