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Doctor of Philosophy / Curriculum and Instruction Programs / Frederick Burrack / This study examined the characteristics of the score study processes implemented by three collegiate wind band conductors. Participants engaged in anticipatory discussion, think-aloud score study session, and a follow up interview to verify researcher inference and observation. Using a multiple case study methodology, the research focused on identifying the individual score study process of each conductor and the impact held beliefs and educational influences had on these processes. The research then compared cases to identify common and unique interactions across participants.

Surfaces is a work for two percussionists in four movements. It uses a variety of small percussion instruments, keyboard percussion, and two specially built kalimbas. This document contains both the score and an analysis of the piece that covers instrument choice, performance practice, form and compositional techniques employed

Aim: The purpose of the study is to investigate the connection between Nordic banks’ sustainability reporting within ESG (environmental, social and governance issues) and the impact it has on their financial performance.   Method: Quantitative data was obtained for 22 public companies for the years 2020-2022 from the Refinitiv Eikon database. The data was then analyzed using Pearson’s correlation test, VIF-test and three multiple regression analyzes through the statistical program IBM SPSS.   Result and conclusion: The study’s results show a weak negative correlation between the ESG-score and the companies’ financial performance. The study finds the strongest significant negative correlation between return on equity (ROE) and ESG-score, where ROE decreases by 12,6% when ESG increases by one unit. The result of the study shows that there is a weak negative relationship between the ESG-score and the banks return on total capital and return on equity. The relationship between ESG’s subcomponents also show a weak negative relationship to the banks return on total capital and return on equity. Finally, the result also shows a weak negative relationship between the bank's market performance and return on total capital and return on equity.    Contribution of the thesis: As the purpose of the study is to study what connection there is between ESG and the financial performance of Nordic banks, the study addresses a research gap as previous studies have not limited themselves to this geographical area. The study thus contributes to research within the subject of business economics. The result consistently shows a negative relationship between ESG and financial performance, which may be of interest to investors and stakeholders as previous research did not establish this result for the area concerned.   Suggestions for future research: A proposal for future research is to measure ESG’s impact on profitability in other industries with an environmental impact and in other countries. Future studies can also choose a qualitative research method to study in depth the impact ESG has on the companies, this because the quantitative research method with the collection of short-term data does not go in depth with this.

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Le score de propension s'est progressivement imposé comme l’une des méthodes de référence dans l'analyse des données observationnelles afin de prendre en compte le biais potentiel lié à l’existence de facteurs de confusion dans l'estimation de l'effet du traitement sur le critère de jugement. Parmi les recommandations de bonnes pratiques d'utilisation, le processus de sélection des variables à inclure dans le score final utilisé est essentiel, ainsi que l'évaluation de l'équilibre obtenu sur les covariables après appariement ou pondération sur ce score. Dans l'objectif de prioriser l'inclusion et l'équilibre des variables ayant une relation avec le critère de jugement une nouvelle mesure d'équilibre est proposée dans ce travail de thèse. Une première partie de ce travail a eu pour objectif de développer une mesure globale pondérée permettant d'évaluer l'équilibre global des covariables obtenu après appariement et ainsi d'aider à la sélection d’un modèle de propension le plus parcimonieux possible, en éliminant notamment les variables instrumentales. En effet ces variables ne doivent pas être introduites dans le modèle de score de propension au risque de majorer le biais final d'estimation. Lors des étapes d'évaluation de l'équilibre final obtenu, les différentes mesures d'équilibres disponibles ne prennent le plus souvent pas en compte cette information et concluent souvent à l'intérêt d'inclure une telle variable afin de réduire au maximum le déséquilibre entre les groupes. L'évaluation des performances de cette mesure a dans un premier temps fait appel à des simulations de type Monte Carlo. Dans une seconde partie, une mise en application sur des données réelles issues de la médecine d'urgence a permis de préciser la pratique d'utilisation d'une telle mesure / Propensity score (PS) methods have become increasingly used to analyze observational data and take into account confusion bias in final estimate of treatment effects. The goal of the PS is to balance the distribution of potential confounders across treatment groups. The performance of the PS strongly relies on variable selection in PS construction and balance assessment in PS analysis. Specifically, the choice of the variables to be included in the PS model is of paramount importance. In order to priorize inclusion and balance of variables related to the outcome, a new balance measure was proposed in this thesis. First, a new weighted balance measure was studied to help in construction of PS model and to obtain the most parsimonious model, by excluding instrumental variables known to be related with increasing bias in final treatment estimate. Several balances measures are proposed to assess final balance, but none of them help researchers to not include instrumental variables. We propose a new weighted balance measure that takes into account, for each covariate, its strength of association with the outcome. This measure was evaluated using a simulation study to assess whether minimization of the measure coincided with minimally biased estimates. Secondly, we propose to apply this measure to a real data set from an observational cohort study.

In der prospektiven multizentrischen Studie wurde die Validität des kombinierten Apgar-Scores bei Neugeborenen mit postnataler Unterstützung untersucht. Die Studie wurde analog zur Studie 'TEST-Apgar' durchgeführt, die den kombinierten Apgar-Score an Frühgeborenen getestet hat.:Danksagung i Inhaltsverzeichnis ii Abkürzungsverzeichnis iv Abbildungs- und Tabellenverzeichnis v I. Einleitung 1 1. Perinatalmedizin 1 2. Der konventionelle Apgar-Score 1 2.1. Stärken des Apgar-Scores 2 2.1.1. Unterscheidung zwischen gutem und schlechtem postnatalem Zustand 2 2.1.2. Evaluation der Veränderung des Neugeborenen über die Zeit 4 2.1.3. Prädiktive Aussagekraft 4 2.2. Kritik am konventionellen Apgar-Score 6 2.2.1. Gewichtung der Parameter 6 2.2.2. Interindividuelle Variabilität bei der Bewertung 7 2.2.3. Bewertung von Frühgeborenen 9 2.2.4. Bewertung von beatmeten Neugeborenen 9 3. Neue Apgar-Scores zur Bewertung des postnatalen Zustands des Neugeborenen 10 3.1. Der spezifizierte Apgar-Score 11 3.2. Der erweiterte Apgar-Score 12 3.3. Der kombinierte Apgar 13 4. Fragestellung 14 II. Methoden 16 1. Studiendesign 16 2. Zustimmung durch die Ethikkommission 16 3. Auswahlkriterien des Studienkollektivs 16 3.1. Einschlusskriterien 16 3.2. Ausschlusskriterien 17 4. Verwendete Parameter 17 4.1. Daten zu Schwangerschaftsverlauf und Geburt 17 4.2. Neonatale Daten 17 4.3. Neonatale Entlassdaten 18 5. Verwendete Punktsysteme 18 6. Datenmanagement 20 7. Digitalisierung 20 8. Statistische Analyse 20 III. Ergebnisse 22 1. Deskription der Studienpopulation 22 1.1. Perinatale Charakteristika 22 1.2. Outcome Daten 23 1.3. Durchgeführte Interventionen 23 1.4. Zustandsbeschreibung 24 2. Überprüfung der Hypothese 26 2.1. Beschreibung des neonatalen Zustandes (spezifizierter Apgar-Score) 26 2.2. Beschreibung der erfolgten Intervention (erweiterter Apgar-Score) 26 2.3. Kombinierter Apgar 26 2.4. Prädiktion eines adverse outcomes 28 3. Sekundäre Fragestellungen 31 3.1. Aussagen zum Nabelschnur-pH-Wert 31 3.1.1. Zusammenhang zwischen NapH und klinischem Zustand 31 3.1.2. Zusammenhang zwischen NapH und Interventionen 31 3.1.3. Kombinierter Apgar-Score 31 4. Wechselseitige Beeinflussung von klinischem Zustand und durchgeführten Interventionen 33 IV. Diskussion 37 1. Kurzzusammenfassung der Ergebnisse 37 2. Diskussion 38 3. Ausblick 43 V. Fazit 46 VI. Zusammenfassung 47 VII. Summary 48 Literaturverzeichnis vi Anlage 1 x Anlage 2 xi

Trauma and Injury Severity Score (TRISS) é um índice que permite calcular probabilidade de sobrevida de pacientes traumatizados. Para seu cálculo são necessárias as informações: idade; tipo de trauma - penetrante ou contuso; valor do Revised Trauma Score (RTS); e pontuação do Injury Severity Score (ISS). Em 1997 foi realizada uma revisão do ISS com o intuito de melhorar sua acurácia na determinação da gravidade do trauma. Essa revisão resultou em mudança no cálculo desse índice e, consequentemente, em uma nova versão, o New Injury Severity Score (NISS). Resultados de estudos têm indicado que o NISS se iguala ou supera o ISS na previsão de mortalidade. Procurou-se neste estudo verificar se a substituição do ISS pelo NISS, na fórmula original do TRISS, melhora sua estimação de sobrevida. Trata-se de pesquisa retrospectiva realizada no Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo. A população foi constituída por 533 pacientes traumatizados atendidos e internados no Pronto-Socorro deste hospital pelo período de um ano. Foi realizada análise descritiva das características das vítimas e calculadas as medidas de posição para as variáveis contínuas. Para verificar qual o melhor indicador (TRISS ou NTRISS) para probabilidade de sobrevida e o melhor ponto de corte, foi utilizada a curva ROC. Os resultados foram confrontados com as mortes e sobrevidas observadas com o intuito de se identificar a fórmula mais acurada para cálculo da probabilidade de sobrevida. Fizeram parte do estudo pacientes traumatizados entre 18 e 95 anos, sendo a maioria jovens (61,9%), do sexo masculino (80,5%). Os acidentes de transporte foram as causas externas mais frequentes (61,9%), e, consequentemente, houve predomínio de trauma contuso (87,1%). Do total de pacientes, 82,9% foram atendidos por unidades sistematizadas de atendimento pré-hospitalar. A região mais freqüentemente traumatizada foi a superfície externa (63,0%), seguida por cabeça e pescoço (55,5%). Os pacientes estiveram internados por uma média de 11,0 dias (+ 18,0). Dos 533 pacientes, 42,2% necessitaram de internação em Unidade de Terapia Intensiva. A taxa de sobrevida foi de 76,9%. A maioria dos indivíduos (54,5%) apresentou valor de RTS de 7 a 7,84. O escore do ISS e do NISS variou de 0 a 75, com predomínio do escore de 9 a 15 (40,0%) para o ISS e de 16 a 24 (25,5%) para o NISS. O valor do TRISS e do NTRISS variou de 0 a 100,0%; probabilidade de sobrevida maior ou igual a 75,0% foi apresentada por 83,4% dos pacientes segundo o TRISS e por 78,4% dos pacientes de acordo com o NTRISS. O TRISS superestimou a probabilidade de sobrevida dos pacientes traumatizados. Houve diferença estatisticamente significativa entre a previsão de sobrevida dada pelo TRISS e NTRISS, e o NTRISS foi mais assertivo que o TRISS para prever sobrevida dos pacientes atendidos neste centro de trauma / The Trauma and Injury Severity Score (TRISS) is an index that permits the calculation of survival probability in trauma victims. The following information is necessary to perform this calculation: age, trauma type -penetrating or contusion; value from the Revised Trauma Score (RTS); and the scores from the Injury Severity Score (ISS). In 1997, a revision was done to the ISS to improve its accuracy for determining the severity of traumas, thus resulting in a new version called the New Injury Severity Score (NISS). Studies have shown that this NISS is equal to or greater than the ISS in the prediction of mortality. The objective of this study was to verify if substituting the ISS with the NISS, in the original TRISS form, improved the survival rate estimate. This retrospective study included 533 trauma victims who were attended and interned in the emergency room during a period of 1 year, in \"Hospital das Clínicas\" of the Medical School of the University of Sao Paulo. A descriptive analysis of the characteristics of the victims was performed and the position measurements for the continuous variables were calculated. An ROC curve was used to verify which would be the best indicator (TRISS or NTRISS) for calculating the survival probability. The results were compared with the deaths and survivors in order to indentify the most accurate formula for calculating survival probability. Included in this study were trauma victims, between the ages of 18 to 95, with the majority being youths (61.9%) and of the male gender (80.5%). Contributing causes were predominantly from motor vehicle accidents (61.9%), and predominantly with contusions (87.1%). Of the total victims, 82.9% were treated in first aid clinics. The most frequent trauma regions were superficial (63%) followed by the head and neck (55.5%) The victims were interned on an average of 11 days. ( +18.0). Of the 533 victims 42.2% were interned in the Intensive Care Unit (ICU) and the survival rate was 76.9%. The majority of individuals (54.5%) had RTS scores between 7 and 7.84. The ISS and NISS score varied from 0 to 75, with the average ISS score ranging from 9-15 (40.0%) and the NISS score from 16-24 (25.5%). The TRISS and NTRISS scores varied between 0 and 100 %; probability of survival equal to or greater than 75.0% was presented for 83.4% of the victims according to TRISS and 78.4% according to NTRISS thus, the TRISS overestimated the probability of survival in trauma victims. There was a statistically significant difference in the estimate of survivability data between the TRISS and NTRISS with the latter being the more accurate scale for predicting survivability among the victims treated in this trauma center

Trauma and Injury Severity Score (TRISS) é um índice que permite calcular probabilidade de sobrevida de pacientes traumatizados. Para seu cálculo são necessárias as informações: idade; tipo de trauma - penetrante ou contuso; valor do Revised Trauma Score (RTS); e pontuação do Injury Severity Score (ISS). Em 1997 foi realizada uma revisão do ISS com o intuito de melhorar sua acurácia na determinação da gravidade do trauma. Essa revisão resultou em mudança no cálculo desse índice e, consequentemente, em uma nova versão, o New Injury Severity Score (NISS). Resultados de estudos têm indicado que o NISS se iguala ou supera o ISS na previsão de mortalidade. Procurou-se neste estudo verificar se a substituição do ISS pelo NISS, na fórmula original do TRISS, melhora sua estimação de sobrevida. Trata-se de pesquisa retrospectiva realizada no Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo. A população foi constituída por 533 pacientes traumatizados atendidos e internados no Pronto-Socorro deste hospital pelo período de um ano. Foi realizada análise descritiva das características das vítimas e calculadas as medidas de posição para as variáveis contínuas. Para verificar qual o melhor indicador (TRISS ou NTRISS) para probabilidade de sobrevida e o melhor ponto de corte, foi utilizada a curva ROC. Os resultados foram confrontados com as mortes e sobrevidas observadas com o intuito de se identificar a fórmula mais acurada para cálculo da probabilidade de sobrevida. Fizeram parte do estudo pacientes traumatizados entre 18 e 95 anos, sendo a maioria jovens (61,9%), do sexo masculino (80,5%). Os acidentes de transporte foram as causas externas mais frequentes (61,9%), e, consequentemente, houve predomínio de trauma contuso (87,1%). Do total de pacientes, 82,9% foram atendidos por unidades sistematizadas de atendimento pré-hospitalar. A região mais freqüentemente traumatizada foi a superfície externa (63,0%), seguida por cabeça e pescoço (55,5%). Os pacientes estiveram internados por uma média de 11,0 dias (+ 18,0). Dos 533 pacientes, 42,2% necessitaram de internação em Unidade de Terapia Intensiva. A taxa de sobrevida foi de 76,9%. A maioria dos indivíduos (54,5%) apresentou valor de RTS de 7 a 7,84. O escore do ISS e do NISS variou de 0 a 75, com predomínio do escore de 9 a 15 (40,0%) para o ISS e de 16 a 24 (25,5%) para o NISS. O valor do TRISS e do NTRISS variou de 0 a 100,0%; probabilidade de sobrevida maior ou igual a 75,0% foi apresentada por 83,4% dos pacientes segundo o TRISS e por 78,4% dos pacientes de acordo com o NTRISS. O TRISS superestimou a probabilidade de sobrevida dos pacientes traumatizados. Houve diferença estatisticamente significativa entre a previsão de sobrevida dada pelo TRISS e NTRISS, e o NTRISS foi mais assertivo que o TRISS para prever sobrevida dos pacientes atendidos neste centro de trauma / The Trauma and Injury Severity Score (TRISS) is an index that permits the calculation of survival probability in trauma victims. The following information is necessary to perform this calculation: age, trauma type -penetrating or contusion; value from the Revised Trauma Score (RTS); and the scores from the Injury Severity Score (ISS). In 1997, a revision was done to the ISS to improve its accuracy for determining the severity of traumas, thus resulting in a new version called the New Injury Severity Score (NISS). Studies have shown that this NISS is equal to or greater than the ISS in the prediction of mortality. The objective of this study was to verify if substituting the ISS with the NISS, in the original TRISS form, improved the survival rate estimate. This retrospective study included 533 trauma victims who were attended and interned in the emergency room during a period of 1 year, in \"Hospital das Clínicas\" of the Medical School of the University of Sao Paulo. A descriptive analysis of the characteristics of the victims was performed and the position measurements for the continuous variables were calculated. An ROC curve was used to verify which would be the best indicator (TRISS or NTRISS) for calculating the survival probability. The results were compared with the deaths and survivors in order to indentify the most accurate formula for calculating survival probability. Included in this study were trauma victims, between the ages of 18 to 95, with the majority being youths (61.9%) and of the male gender (80.5%). Contributing causes were predominantly from motor vehicle accidents (61.9%), and predominantly with contusions (87.1%). Of the total victims, 82.9% were treated in first aid clinics. The most frequent trauma regions were superficial (63%) followed by the head and neck (55.5%) The victims were interned on an average of 11 days. ( +18.0). Of the 533 victims 42.2% were interned in the Intensive Care Unit (ICU) and the survival rate was 76.9%. The majority of individuals (54.5%) had RTS scores between 7 and 7.84. The ISS and NISS score varied from 0 to 75, with the average ISS score ranging from 9-15 (40.0%) and the NISS score from 16-24 (25.5%). The TRISS and NTRISS scores varied between 0 and 100 %; probability of survival equal to or greater than 75.0% was presented for 83.4% of the victims according to TRISS and 78.4% according to NTRISS thus, the TRISS overestimated the probability of survival in trauma victims. There was a statistically significant difference in the estimate of survivability data between the TRISS and NTRISS with the latter being the more accurate scale for predicting survivability among the victims treated in this trauma center