La necesidad inicial de interpretar espectros atómicos condujo a físicos y químicos a un continuo desarrollo de modelos para entender el orden, llamado configuración electrónica, al interior del átomo. Desde el modelo de Bohr se acepta que una señal en el espectro corresponde a una transición electrónica; en nuestros días la complejidad de los niveles de energía generados por electrones desapareados en un orbital puede entenderse por los acoplamientos de L y S en el caso de átomos livianos. El presente artículo detalla la amplitud del uso de tales diagramas y procura ser una referencia en la asimilación de este método y sus resultados. / A first need for the interpretation of atomic spectra lead physicist and chemists towards a continuous development of models in order to understand the order, known as electronic configuration, within an atom. Since Bohr's model, it was accepted that a signa! in a spectrum corresponds to an electronic transition; nowadays the complexity of energy levels, generated by unpaired electrons in an orbital, can be understood in terms of L and S coupling in lighter atoms. This article details the extent of the use of such diagrams, expecting to be a reference in order to achieve the method and its results.

This master’s thesis deals with diagnostics of prodromal stage of Lewy body disease using microstate analysis. First part of the thesis includes theoretical background which is needed for understanding discussed topics and presented results. This part consists of description of the disease, diagnostic options, electroencephalography, pre-processing of the EEG record and the microstate analysis process. Theoretical background is followed by a practical part of the thesis. In the beginning, there is a chapter about a dataset, used EEG device, and own solution of the pre-processing. Microstate analysis is discussed next, its output parameters were compared between groups with statistical methods. Comparison of the subjects in prodromal stage of Lewy body disease and healthy controls brought significant differences in three parameters of microstates, in rate of unlabelled time frames and also for some counts of transitions between each map or unlabelled sections. Comparison of the subjects in prodromal stage of Lewy body disease and healthy controls brought significant differences in three parameters of microstates, in rate of unlabelled time frames and also for some counts of transitions between each map or unlabelled sections.

Drawing on multiple theoretical lenses, this research studies continuous transformation, or ‘morphing’, of a business process resource network (BPRN). The aim is to further our understanding of continuous organisational change at the lowest levels of analysis within an organisation: that is, at the resource level, and that resource’s relationships to other resources as they exist within a BPRN. Data was gathered from a single, in depth case study. Analysis was achieved by means of mapping BPRN evolution using ‘temporal bracketing’, ‘visual’ and ‘narrative’ approaches (Langley, 1999). The analysis revealed two mechanisms that appear to govern microstate morphing: bond strength and stakeholder expectation. In addition, four factors emerged as important: environmental turbulence, timing and timeliness of changes, concurrency of changes, and enduring business logic. An emergent model of microstate morphing which acknowledges the importance of socio-materiality in actor network morphogenesis (ANM) is presented. This study shows how effective relationships and configuration of resources within the BPRN can be achieved to facilitate timely, purposeful morphing. Five propositions are offered from the emergent ANM model. Specifically, these relate to the conditional operating parameters and the identified generative mechanisms for continuous organisational transformation within the BPRN. Implications for practice are significant. A heuristic discussion guide containing a series of questions framed around the ANM model to highlight the challenges of microstate morphing for practitioners is proposed. Two routes for future research are suggested: replication studies, and quantifying BPRN change in relation to an organisation’s environment using a ii survey instrument and inferential statistical analysis based on the ANM model features and propositions.

Baigiamajame magistro darbe nagrinėjama dalelių mišinio dinaminė elgsena kvazistatiniame pusiausvyros būvyje. Pagrindinis dėmesys skiriamas mišinio makro- ir mikrobūsenai charakterizuoti. Darbo tikslas – ištirti betono užpildams būdingomis fizinėmis-mechaninėmis savybėmis pasižyminčio sferinių dalelių mišinio struktūrą ir elgseną fliuktuojančioje aplinkoje kvazistatinio pusiausvyros būvio sąlygomis. Dalelių mišinio elgsenos dinaminis modeliavimas atliktas diskrečiųjų elementų metodu (DEM). Modeliuoti viendispersis ir daugiadispersis mišiniai. Pagal gautus rezultatus, mišinio makrobūsena charakterizuojama struktūros užimama tūrio dalimi (tankumu), dalelių kontaktinėmis jėgomis bei koordinacijos skaičiumi. Atskirų mišinio dalelių mikrobūsena charakterizuojama taikant unikalų geometrinį metodą, sukurtą pagal Hamiltono mechanikos, bendrosios reliatyvumo teorijos ir kvantinės gravitacijos teorijų principus. Metodui realizuoti parengtas kompiuterinis algoritmas patvirtino iškeltas hipotezes. / In the Master Thesis an investigation of dynamical behavior of the mixture of particles under quasistatic equilibrium conditions was performed. It focuses on a characterization of the macro- and microstate of the mixture. The purpose of the research is to explore structure and behavior of the mixture of spherical particles, characterized by the typical physical-mechanical properties of concrete aggregates, in a fluctuating environment under quasistatic equilibrium conditions. Dynamic simulation of the behavior of the particles was performed via the discrete element method (DEM). According to the results obtained, the macrostate of the mixture was investigated in view of a volume fraction, contact forces of particles and a coordination number. A characterization of the microstate of distinct particle was done using the unique geometrical method which had been created according to Hamiltonian mechanics, the theory of relativity and the principles of quantum gravity. The developed computer algorithm allowed to confirm the hypotheses of the method.

Drawing on multiple theoretical lenses, this research studies continuous transformation, or ‘morphing’, of a business process resource network (BPRN). The aim is to further our understanding of continuous organisational change at the lowest levels of analysis within an organisation: that is, at the resource level, and that resource’s relationships to other resources as they exist within a BPRN. Data was gathered from a single, in depth case study. Analysis was achieved by means of mapping BPRN evolution using ‘temporal bracketing’, ‘visual’ and ‘narrative’ approaches (Langley, 1999). The analysis revealed two mechanisms that appear to govern microstate morphing: bond strength and stakeholder expectation. In addition, four factors emerged as important: environmental turbulence, timing and timeliness of changes, concurrency of changes, and enduring business logic. An emergent model of microstate morphing which acknowledges the importance of socio-materiality in actor network morphogenesis (ANM) is presented. This study shows how effective relationships and configuration of resources within the BPRN can be achieved to facilitate timely, purposeful morphing. Five propositions are offered from the emergent ANM model. Specifically, these relate to the conditional operating parameters and the identified generative mechanisms for continuous organisational transformation within the BPRN. Implications for practice are significant. A heuristic discussion guide containing a series of questions framed around the ANM model to highlight the challenges of microstate morphing for practitioners is proposed. Two routes for future research are suggested: replication studies, and quantifying BPRN change in relation to an organisation’s environment using a ii survey instrument and inferential statistical analysis based on the ANM model features and propositions.