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The primary objective of this master's thesis was to systematically investigate how the net charge and charge distribution of disordered Histone H1.0 peptide variants influence the thermodynamics of their interaction with the fully disordered protein, Prothymosin-alpha (ProTα). This research aimed to provide new insights into the principles governing polyelectrolytic binding between two highly

Better Antibodies, Brighter Outcomes for COVID-19 Since the outbreak of the COVID-19 pandemic, over 700 million cases have been reported globally. The disease is caused by an infection of a coronavirus. In response, the body naturally produces antibodies - the “knights” of the immune system - specifically adapted to recognise and attack the virus. Antibodies can also be made in the laboratory an

Denna studie syftar till att synliggöra erfarenheter och berättelser från barn till exilflyktingar från Abya Yala som flydde till Sverige, under 70–80 talet, och lyfter hur trauman, minnen och politiska arv påverkar barnens liv – även i vuxen ålder. Genom en dekolonial logik och metodologi undersöks även hur storytelling, autohistoria, chicanafeministisk epistemologi och investigacion-acción partiThis study aims to make visible the experiences and stories of children of exiled refugees from Abya Yala who fled to Sweden, during the 70s and 80s, highlighting how trauma, memories, and political legacies affect the lives of the children – even in their adulthood. Through a decolonial logic and methodology, it also explores how storytelling, autohistory, chicana feminist epistemology and invest

This thesis investigates the high-temperature oxidation kinetics of two nickel-based superalloys produced via additive manufacturing (AM), referred to as alloy A and alloy B, in comparison to the conventionally cast superalloy MAR-M 247. The study focuses on oxide scale growth, morphology, and depletion zone development under semi-isothermal conditions at temperatures below 900°C and 1000°C over e

Contemporary organizations expect newly formed teams to perform from the outset under strict time and task constraints. While Wheelan’s (1994a; 2005) Integrated Model of Group Development (IMGD) frames team development as a progression through distinct stages, few studies have examined whether such assumptions are reflected in the temporal structure of early interaction. Drawing on a dynamic syste

Denna uppsats grundar sig i att på ett djupare plan förstå hur personlighetstester används och varför de har börjat användas i kommuner i Skåne. Syftet med arbetet var att få svar på frågorna varför och hur. Mer specifikt ville vi ta reda på i vilket skede, vilka tester som används, hur testerna används och vad motivet till införandet var. För att få svar på dessa frågor har en kvalitativ metod an

This study aims to understand how work towards equality and diversity within trade unions represents different problems that need to be overcome in order to reach gender equality and equality overall. Swedish trade unions play an important part in writing the collective agreements between workers and employers, and therefore play an important part in equality within the field and our society as a

This thesis explores the use of revolving doors in emergency evacuations, focusing on their function, public understanding, and associated safety risks. Although revolving doors are common in many buildings, their role in evacuation strategies remains unclear and varies between facilities. Through literature review, observations, and interviews with both passers-by and individuals with experience

This thesis investigates the parallels between experiences of left-handed individuals and queer individuals to explore how societal norms are constructed and maintained through prejudice. The study draws on theories such as social constructivism, labelling theory, symbolic interactionism, Foucault’s concept of power and knowledge, and the sociological concepts of stigma and norms. Through surveys

Denna uppsats undersöker hur parader genomförda av nordirländska protestanter både påverkar och formas av den kulturella kontext de genomförs inom. Genom att applicera grounded theory på kvalitativ information inhämtad via intervjuer och skriftliga svar från protestantiska informanter har deras reflektioner om paradens skiftande roll inom en kollektiv protestantisk identitet analyserats, huvudsakl

This thesis examines the influence of a foreign-born background on students’ educational choices in Sweden, focusing on the selection between vocational and university preparatory programmes in upper secondary education (gymnasium). Recognising that personal experiences and social contexts shape such decisions, a qualitative methodology was adopted to explore the underlying motivations and influen

Syftet med denna studie är att kartlägga självrapporterade symtom som drabbar tal/röst- samt sväljning hos nydiagnostiserade patienter med Parkinsons sjukdom (PS) innan medicinering påbörjats, så kallade de novo-patienter. Studien undersöker eventuella samband mellan dessa symtom och andra självupplevda symtom som drabbar gång- och balansförmågan (inklusive fall) samt salivöverskott. Studien är enThe aim of this study is to map self-reported symptoms affecting speech, voice, and swallowing in newly diagnosed patients with Parkinson’s disease (PD) prior to the initiation of medication, so called ‘de novo patients’. The study investigates potential associations between these symptoms and other self-reported difficulties affecting walking and balance (including falls) as well as excessive sal

The European Union and China mark 50 years of diplomatic relations in 2025 amidst intensifying international tensions. This research explored the Chinese international relations (IR) scholarly discourse to identify how Chinese academics perceive, interpret, and represent the EU. Drawing from 23 publications and two in-depth semi-structured interviews with Chinese scholars, the study found that the

Next-generation sequencing (NGS) has transformed the study of antibody repertoires by enabling high-throughput, in-depth analysis of immune diversity and antigen-driven selection. When paired with in vitro display technologies, NGS offers unparalleled resolution in characterizing antibody libraries, but also presents substantial computational challenges due to the highly variable nature of antibod

With the development of high-throughput sequencing technology, the acquisition of large-scale human genome variation data has become increasingly prevalent, offering new opportunities for biomedical research. Therefore, obtaining meaningful information from high-throughput data has become a key task in related scientific research fields. However, how to quickly identify potential pathogenic sites

Background Brain metastases are a common complication in cancer, particularly in patients with breast cancer, lung cancer, and melanoma, and are associated with poor prognosis. Understanding the spatial organization of tumor and immune cells is critical for uncovering the mechanisms of metastasis. Spatial transcriptomics technologies now allow gene expression profiling while preserving tissue arch

Glioblastoma (GBM) remains one of the most aggressive and treatment-resistant brain tumors, with limited systemic therapeutic options and high recurrence rates. New treatment modalities in oncology, including antibody-drug conjugates and CAR-T cells, target the tumor cell surfaceome. However, despite extensive genomic and transcriptomic profiling, actionable surface antigens for targeted immunothe

Alzheimer’s disease (AD) is characterized by amyloid-β (Aβ) plaque deposition, tau pathology, and neuroinflammation, with genetic variants in the apolipoprotein E (APOE) gene representing the strongest risk factor for late-onset AD. Microglia, the brain’s resident immune cells, are increasingly recognized as central to disease progression through their roles in neuroinflammation and Aβ clearance.

Adeno-associated viruses (AAVs) are among the most promising vectors for safe and effective gene delivery in therapeutic applications. However, engineering functional AAV capsids remains a major challenge due to the vast sequence space, unpredictable biological performance, and limited translational success of many variants. Machine learning offers a powerful strategy to address these limitations