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This dissertation seeks to capture Muhammad's emergence as Prophet. It starts from the premise that he located himself as a Prophet within a fraternity of prophethood. More specifically he has seen his work as a continuation of the Biblical prophetic tradition. However he has stressed his election as correcting what has been altered in this Biblical tradition. Muhammad: A prophet of God argues that he has as prophet the same defining elements as Biblical prophets; as result we must not criticise him unnecessarily, that is, for the sake of fitting him into our categories. Muhammad must be seen terms of his experiences. In addition we must capture his contribution to humanity. / Religious Studies & Arabic / M.A. (Religious Studies)

Kasida ya Hamziyyah, yumkini, ndiyo tafsiri ya Kiswahili ya zamani zaidi. Kiswahili kilichotumiwa katika ukawafi huu kimechakaa sana hata maneno mengine hayatumiki tena. Hii ni kasida ambayo ni maarufu sana katika ulimwengu wa fasihi na dini ya Kiislamu na Waswahili huikariri wakati wa sherehe za Maulidi ya Nabii Muhammadi au wanapocheza Twari la Ndiya. Kasida hii ya Hamziyah pia hujulikana kama Chuo cha Hamziyah au Utenzi wa Hamziyah. Kasida ya Hamziyyah ilitafsiriwa kutoka kwa Kiarabu na Sayyid Aidarus bin Athumani bin Sheikh Abubakar bin Salim hapo mwaka wa 1652b. Pamoja na kuinukuu kwa hati za Kirumi nimebawibu Hamziyah katika sehemu mbalimbali, kulingana na maudhui yake, ili iweze kusomeka kwa urahisi na iweze kuwavutia wasomaji. Katika miswada ya Kiswahili niliyoipata, mswada mmoja una ubeti mmoja zaidi.

This dissertation seeks to capture Muhammad's emergence as Prophet. It starts from the premise that he located himself as a Prophet within a fraternity of prophethood. More specifically he has seen his work as a continuation of the Biblical prophetic tradition. However he has stressed his election as correcting what has been altered in this Biblical tradition. Muhammad: A prophet of God argues that he has as prophet the same defining elements as Biblical prophets; as result we must not criticise him unnecessarily, that is, for the sake of fitting him into our categories. Muhammad must be seen terms of his experiences. In addition we must capture his contribution to humanity. / Religious Studies and Arabic / M.A. (Religious Studies)

Kasida ya Hamziyyah, yumkini, ndiyo tafsiri ya Kiswahili ya zamani zaidi. Kiswahili kilichotumiwa katika ukawafi huu kimechakaa sana hata maneno mengine hayatumiki tena. Hii ni kasida ambayo ni maarufu sana katika ulimwengu wa fasihi na dini ya Kiislamu na Waswahili huikariri wakati wa sherehe za Maulidi ya Nabii Muhammadi au wanapocheza Twari la Ndiya. Kasida hii ya Hamziyah pia hujulikana kama Chuo cha Hamziyah au Utenzi wa Hamziyah. Kasida ya Hamziyyah ilitafsiriwa kutoka kwa Kiarabu na Sayyid Aidarus bin Athumani bin Sheikh Abubakar bin Salim hapo mwaka wa 1652b. Pamoja na kuinukuu kwa hati za Kirumi nimebawibu Hamziyah katika sehemu mbalimbali, kulingana na maudhui yake, ili iweze kusomeka kwa urahisi na iweze kuwavutia wasomaji. Katika miswada ya Kiswahili niliyoipata, mswada mmoja una ubeti mmoja zaidi.

Huvudsyftet med denna studie är att förstå om ett säsongsmässigt autoregressivt integrerat rörligt genomsnitt (SARIMA) -metod pålitligt kan förutsäga extrem variation i värmelaster för en fjärrvärmestation. Genom extrem variation ser vi på den maximala och minsta värmebelastningen per dag mätt i megawattstimmar. Avhandlingen bygger på standardimplementering av SARIMAX och utför en rutnätsökning efter de mest lämpliga parametrarna. Prognoser kan genereras från tidsserier i syfte att uppskatta förväntad energiförbrukning i en fjärrvärmestation. Frågan som ställs är: Hur tillförlitlig är SARIMAX-modellen för energibehov i en fjärrvärmestation? För att besvara studiens fråga designas och genomförs experiment med hjälp av ett dataset från verkliga mätningar. Datasetet studerades och analyserades med hjälp av undersökande dataanalystekniker som kommer med statistiska paket implementerade i en pythonmiljön, som kan användas som ett statistiskt program. Uppgifterna är uppdelade i två säsonger, sommar och vinter. Där den explorativa analysen av datasetet visar att modellen måste ta hänsyn till den starka veckocykeln med data. Så att korrelationen mellan utetemperaturen kan användas för att förbättra förutsägelsen. Fininställning och tillämpning av SARIMAX och Prophet för förutsägelser genererar data i form av diagram som visar hur tillförlitlig modellen är för förutsägelse. Resultaten visar att SARIMAX-modellen presterar bättre under vintermånaderna och sämre under sommaren. Baserat på dessa resultat antyder avhandlingsstudien att SARIMAX-modellen är mer tillämplig under vintermånaderna där förutsägelsen är mer tillförlitlig. Jämförelser med Prophet modellen indikerar lovande resultat och att vidare forskning borde föras för denna modell. Dessa resultat kan vara till hjälp för industrin som förser samhället och konsumenterna med fjärrvärme. Det hjälper till att förutse hur mycket energiförbrukning som används där industrin kan använda den för att reglera mängden fjärrvärme, för att ytterligare hjälpa ekonomin och miljön. / The main objective in this study is to understand if a Seasonal Autoregressive Integrated Moving Average (SARIMA) method can reliably predict extreme variation in heat loads for a district heating substation. By extreme variation we look at the maximum and minimum heat load per day measured in megawatt hour. The thesis relies on standard implementation of SARIMAX and performs a grid search for the most suitable parameters. Forecast can be generated from time series with the purpose of estimating expected energy consumption in a district heating substation. The question addressed is: How reliable is the SARIMAX-model for energy demand in a district heating substation? To answer the study’s question, experiments are designed and conducted using a dataset from real measurements. The dataset was studied and analyzed using exploratory data analysis techniques that come with statistical packages implemented in the python environment, which can be used as a statistical program. The data is separated into two seasons, summer and winter. Where the explorative analysis of the data shows that the model needs to take in account the strong weekly cycle of data. Also the correlation between the outside temperature can be used to improve prediction. Fine tuning and applying SARIMAX and Prophet for predictions generates data in the form of graphs and tables which shows how reliable the SARIMAX model is for prediction. Results show that the SARIMAX model is performing better during winter months and worse during summer. Based on these results, the thesis study suggests that the SARIMAX-model is more applicable during winter months where prediction is more reliable. Comparison with the Prophet model indicates promising results and that further investigations should be made into this model. These results can be of help to the industry that supplies the community and consumers with district heating. It helps by predicting how much energy consumption is used where the industry can use it to regulate the amount of district heating, to further help the economy and environment.

The Free-To-Play industry relies on getting a huge inflow of new players that might result in future gross bookings. Consequently, getting organic new players is crucial to ensure its health, especially as they have no direct associated acquisition cost. In addition, forecasting helps business planning as future gross bookings result from those news installs. This thesis investigates methods such as Linear Regression, Ridge, Lasso regularization, time-series analysis, and Prophet to forecast the inflow of organic installs and try to understand the factors impacting it. Using the data from 3 games for two platforms and 15 countries, it investigates the differences in behavior observed over the segments. This thesis first focuses on a specific segment by modeling the inflow of organic installs for the game number 17 on iOS in the United States of America. On this segment, the best model is the Lasso model using, among others, a Prophet model as a variable. However, the generalization to all segments is difficult. On average, exponential decay over time is the best way to forecast the future inflow of organic as it presents the more consistent performances over all segments. / Free-To-Play-branschen är beroende av att få ett stort inflöde av nya spelare, som sedan eventuellt kan generera framtida intäkter. För att kunna säkerställa ett spels fortsatta hälsa är det därför avgörande att få nya spelare organiskt. Detta är särskilt viktigt då det inte innebär någon anskaffningskostnad. Då framtida intäkter är beroende av nya nedladdningar är prognostisering till stor nytta i företagsplanering. Denna uppsats använder metoder som linjär regression, Ridge, Lasso-regularization, tidsserieanalys och Prophet för att förutspå inflödet av organiska nedladdningar och förstå vilka faktorer som påverkar detta inflöde.Genom användningen av data från tre spel från två plattformar och 15 länder undersöks skillnader i beteende för olika segment. Denna uppsats fokuserar på ett specifikt segment genom att modellera inflödet av organiska nedladdningar för spel nummer 17 på iOS i USA. För detta segment är Lasso-modellen bäst, som bland annat använder Prophet-modellen som variabel. Det är dock svårt att överföra slutsatserna på andra segment. Istället är det bättre att anta en exponentiell nedgång över tid när man förutspår framtida inflöden av organiska nedladdningar, då det ger mer konsekventa resultat för alla segment.

Since 2019, COVID-19, as a new acute respiratory disease, has struck the whole world, causing millions of death and threatening the economy, politics, and civilization. Therefore, an accurate prediction of the future spread of COVID-19 becomes crucial in such a situation. In this comparative study, four different time-series analysis models, namely the ARIMA model, the Prophet model, the Long Short-Term Memory (LSTM) model, and the Transformer model, are investigated to determine which has the best performance when predicting the future case trends of COVID-19 in six countries. After obtaining the publicly available COVID-19 case data from Johns Hopkins University Center for Systems Science and Engineering database, we conduct repetitive experiments which exploit the data to predict future trends for all models. The performance is then evaluated by mean squared error (MSE) and mean absolute error (MAE) metrics. The results show that overall the LSTM model has the best performance for all countries that it can achieve extremely low MSE and MAE. The Transformer model has the second-best performance with highly satisfactory results in some countries, and the other models have poorer performance. This project highlights the high accuracy of the LSTM model, which can be used to predict the spread of COVID-19 so that countries can be better prepared and aware when controlling the spread. / Sedan 2019 har COVID-19, som en ny akut andningssjukdom, drabbat hela världen, orsakat miljontals dödsfall och hotat ekonomin, politiken och civilisationen. Därför blir en korrekt förutsägelse av den framtida spridningen av COVID-19 avgörande i en sådan situation. I denna jämförande studie undersöks fyra olika tidsseriemodeller, nämligen ARIMA-modellen, profetmodellen, Long Short-Term Memory (LSTM) -modellen och transformatormodellen, för att avgöra vilken som har bäst prestanda när man förutsäger framtida falltrender av COVID-19 i sex länder. Efter att ha fått offentligt tillgängliga COVID-19-falldata från Johns Hopkins University Center for Systems Science and Engineering-databasen utför vi repetitiva experiment som utnyttjar data för att förutsäga framtida trender för alla modeller. Prestandan utvärderas sedan med medelvärde för kvadratfel (MSE) och medelvärde för absolut fel (MAE). Resultaten visar att LSTM -modellen överlag har den bästa prestandan för alla länder att den kan uppnå extremt låg MSE och MAE. Transformatormodellen har den näst bästa prestandan med mycket tillfredsställande resultat i vissa länder, och de andra modellerna har sämre prestanda. Detta projekt belyser den höga noggrannheten hos LSTM-modellen, som kan användas för att förutsäga spridningen av COVID-19 så att länder kan vara bättre förberedda och medvetna när de kontrollerar spridningen.

The première of Meyerbeer\''s Le Prophète in the Hungarian National Theatre on June 12th 1850 was an event of unprecedented importance in the short history of professional opera in the Hungarian language. In my paper I am going to demonstrate the role of the orchestra in the success of this work. I shall combine this with the presentation of other outstanding aspects of the performance so that we shall be able to fairly judge the orchestra\''s contribution to the success.

[pt] Entre Elias e Eliseu, provavelmente os mais conhecidos dentre os profetas não escritores pré-clássicos, ocorre uma sucessão profética, descrita em 2Rs 2,1-25; e 2Rs 1–2 apresenta ainda uma transição narrativa, onde dois ciclos de histórias se encontram. Estes dois ciclos têm sido, com raras exceções, trabalhados de forma independente pela pesquisa exegética. A presente tese, porém, parte da hipótese de que há uma bem pensada sucessão dos dois ciclos, de modo que 2Rs 1,1-18 tem uma significativa função para a unidade de 2Rs 1–2 em torno da sucessão profética, e que, por conseguinte, há relações intrínsecas de continuidade/descontinuidade entre os ciclos destes dois profetas. Mas a principal hipótese a ser trabalhada, e que não recebeu nenhuma consideração por parte dos estudiosos, é a de que não somente 2Rs 2,1-25, mas 2Rs 1,1-18 pertence ao ciclo de Eliseu. Metodologicamente entende-se como adequada, para tal investigação, a conjugação do Método Histórico-Crítico com a Análise Narrativa. A articulação temática permite, mediante a Análise Narrativa, ampliar ao máximo as conexões já percebidas pelo Método Histórico-Crítico; e se a Análise Narrativa mostra como 2Rs 1,1-18 e 2Rs 2,1-25 se articulam entre si, o Método Histórico-Crítico evidencia que essa articulação proposta pelo narrador implícito não obscurece o caráter independente de cada narrativa. O uso conjunto das duas metodologias proporciona, além do debate sobre os ciclos de Elias e de Eliseu, uma apreciação do caráter de ambos os profetas, a qual permite uma comparação entre as figuras de Elias e Eliseu enquanto no exercício do ministério profético, e pastoralmente aponta para um caminho do pacifismo e do rompimento com toda manifestação de violência e intolerância. / [en] Between Elijah and Elisha, probably the best known among the preclassical non-writers prophets, there is a prophetic succession, described in 2 Kings 2:1-25; and 2 Kings 1–2 also presents a narrative transition, where two cycles of stories encounter. These two cycles have been, with rare exceptions, worked independently by exegetical research. The present thesis, however, is based on the hypothesis that there is a well-thought-out succession of the two cycles, so that 2 Kings 1,1-18 has a significant function for the unity of 2 Kings 1–2 around prophetic succession, and that, therefore, there are intrinsic relations of continuity/discontinuity between the cycles of these two prophets. But the main hypothesis to be worked on, and which has received no consideration on the part of scholars, is that not only 2 Kings 2.1-25, but 2 Kings 1,1-18 belongs to the Elisha cycle. Methodologically, the conjugation of the Historical-Critical Method with Narrative Analysis is understood as appropriate for such investigation. The thematic articulation allows, through Narrative Analysis, to expand as much as possible the connections already perceived by the Historical-Critical Method; and if the Narrative Analysis shows how 2 Kings 1,1-18 and 2 Kings 2,1-25 articulate each other, the Historical-Critical Method evidences that this articulation proposed by the implicit narrator did not obfuscates the independent character of each narrative The joint use of the two methodologies provides, in addition to the debate about the cycles of Elijah and Elisha, an appreciation of the character of both prophets, which allows a comparison between the figures of Elijah and Elisha while in the exercise of prophetic ministry, and pastorally points to a path of pacifism and disruption with all manifestations of violence and intolerance.