Classification of lymphoid neoplasms is based mainly on histologic, immunologic, and (rarer) genetic features. It has been supplemented by gene expression profiling (GEP) in the last decade. Despite the considerable success, particularly in associating lymphoma subtypes with specific transcriptional programs and classifier signatures of up- or downregulated genes, competing molecular classifiers were often proposed in the literature by different groups for the same classification tasks to distinguish, e.g., BL versus DLBCL or different DLBCL subtypes. Moreover, rarer sub-entities such as MYC and BCL2 “double hit lymphomas” (DHL), IRF4-rearranged large cell lymphoma (IRF4-LCL), and Burkitt-like lymphomas with 11q aberration pattern (mnBLL-11q) attracted interest while their relatedness regarding the major classes is still unclear in many respects. We explored the transcriptional landscape of 873 lymphomas referring to a wide spectrum of subtypes by applying self-organizing maps (SOM) machine learning. The landscape reveals a continuum of transcriptional states activated in the different subtypes without clear-cut borderlines between them and preventing their unambiguous classification. These states show striking parallels with single cell gene expression of the active germinal center (GC), which is characterized by the cyclic progression of B-cells. The expression patterns along the GC trajectory are discriminative for distinguishing different lymphoma subtypes. We show that the rare subtypes take intermediate positions between BL, DLBCL, and FL as considered by the 5th edition of the WHO classification of haemato-lymphoid tumors in 2022. Classifier gene signatures extracted from these states as modules of coregulated genes are competitive with literature classifiers. They provide functional-defined classifiers with the option of consenting redundant classifiers from the literature. We discuss alternative classification schemes of different granularity and functional impact as possible avenues toward personalization and improved diagnostics of GC-derived lymphomas

This study was conduct as a candidate thesis at Jönköping’s School of Engineering. The purpose of the study was to examine how the light zone of façade lighting on a historical building is perceived in correlation to the cityscape. Historical buildings are an important part of the cityscape and connect the identity of the city, the cultural heritage, and the history of the building to the inhabitants. However, currently there is little published research within the area perception of façade lighting. The study is conducted as three case studies on the buildings: Rådhuset (the townhall) in Jönköping, Grand Hotel in Stockholm, and the Stadshuset (City hall) in Gothenburg.  The case studies used qualitative observational methods (Lynch /Branzell, PERCIFAL & FOG). To be able to compare the different objects a new method was developed by the authors, named “FOG”. FOG stands for the English word fog.  The new method is based on methods established by Lynch, Branzell, Cullen, and the optical scale. Our results indicate that the new method FOG is suitable to use when planning for façade lighting on existing facades, historical or not. FOG also have the potential to be used on other objects than facades when evaluating or working with the cityscape. Historical buildings façade suitability for façade lighting is based on its ornamentation and correlation with the urban space. Lighting on historical building façades increases the accessibility of the area and the perception of exclusiveness of the area. / Studien genomfördes som ett examensarbete vid Jönköpings Tekniska högskola. Syftet med studien är att undersöka hur ljusrum upplevs i samband med historiska fasader och stadsrummet.  Historiska byggnader är en viktig del av stadsrummet samt stadens identitet, kulturarv och historia. I dagsläget finns nästintill ingen tidigare forskning publicerad på upplevelsen av fasadbelysning. Studien genomfördes som tre fallstudier på platserna: rådhuset i Jönköping, Grand hotell i Stockholm och stadshuset i Göteborg med kvalitativa observationsmodeller (Lynch / Branzell, PERCIFAL & FOG). För att kunna jämföra de olika objekten har författarna tagit fram en egen metod kallad ”FOG”. FOG kommer från det engelska ordet dimma. FOG grundar sig i metoderna Lynch, Branzell, Cullen och optisk skala. Studien visar att FOG kan användas vid planering och som observations metod av fasadbelysning av en befintlig byggnad. FOG har även potential att kunna användas på andra objekt och för att stödja arbete med stadsgestaltning. En historisk fasads lämplighet för belysning påverkas av fasadens ornamentering och relation till stadsrummet. Resultaten från studien visar att belysning på historiska fasader ökar tillgängligheten av platsen, samt ökar upplevelsen av exklusivitet.