Activating mutations in full length anaplastic lymphoma kinase (ALK) have been reported in neuroblastoma and in anaplastic thyroid cancer. ALK-L1198F and ALKG1201E mutations were originally identified in anaplastic thyroid cancer (ATC) and characterized as constitutively activating mutations. In this study, we employed in vitro cell culture assays together with biochemical and in vivo Drosophila a

Anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase (RTK) that is mutated in approximately 10% of pediatric neuroblastoma (NB). To shed light on ALK-driven signaling processes, we employed BioID-based in vivo proximity labeling to identify molecules that interact intracellularly with ALK. NB-derived SK-N-AS and SK-N-BE(2) cells expressing inducible ALK-BirA* fusion proteins were generat

High-risk neuroblastoma (NB) often involves MYCN amplification as well as mutations in ALK. Currently, high-risk NB presents significant clinical challenges, and additional therapeutic options are needed. Oncogenes like MYCN and ALK result in increased replication stress in cancer cells, offering therapeutically exploitable options. We have pursued phosphoproteomic analyses highlighting ATR activi

Our understanding of public support for climate policies predominantly stems from studies in the Global North and a focus on isolated policy types. Here, we examine how public support for four different climate policy types and the effect of ideological explanatory variables on such support vary among countries of the Global North and Global South. We surveyed representative samples of each three

Six novel Bifidobacterium strains H1HS16NT, Bin2N, Hma3N, H6bp22N, H1HS10N, and H6bp9N, were isolated from the honey stomach of Apis mellifera. Cells are Gram-positive, non-motile, non-sporulating, facultatively anaerobic, and fructose 6-phosphate phosphoketolase-positive. Optimal growth conditions occur at 37 °C in anaerobiosis in MRS medium added with 2 % fructose and 0.1 % L-cysteine. The 16S r

This article takes departure in the notion of intimacy to identify the critical dependencies with contemporary algorithms. The presented concept of algorithmic intimacies points to how contemporary life is premised on the co-habitation with algorithms which poses various challenges to tactical approaches against algorithmic forms of governance. The article argues that thinking through these algori

In contemporary society, big tech platforms have leveraged their ownership over global data infrastructures and have established powerful influence over the conditions of digitally mediated life. The ubiquity of platform-mediated information technology has engendered a growing sense of unease about surveillance and loss of personal autonomy. This awareness has motivated repeated calls for expandin

Discussions around digital technologies, new media, platforms and information have long centred on the protection of personal data and privacy. This timely volume extends the conversation to address fundamental societal and structural issues from three perspectives: people, practices and politics. Organised around an international collection of case studies, the book provides a valuable contributi

The increasing development and adaptation of synthetic data raises critical concerns about the perpetuation of datafication logics. In examining some of synthetic data’s core promises, this dialogue paper aims to uncover the potential harm of further de-politicizing synthetic data. With synthetic data, technological opportunities are introduced that promise to resolve a growing demand for data nee

BACKGROUND: In 2013, it was discovered that a subset of the population in Ronneby, Sweden was exposed to high levels of perfluorinated compounds (PFAS) from drinking water that had been provided by the local Brantafors waterworks and was contaminated by fire-fighting foam from a nearby airport. The start and time-course of population exposures are not known.OBJECTIVE: To investigate the start of P

Ekonomihögskolan vid Lunds universitet har anmodats att lämna ett yttrande över Från överskottsmål till balansmål (SOU 2024:76). Remissyttrandet har utarbetats av Fredrik N G Andersson, Lars Jonung och Elias Bengtsson.

Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte

BackgroundViolence is a major public health concern with a significant impact on the health and well-being of individuals, families, and communities. Living in a new environment without parental control and experimenting with new lifestyles may increase the risk of violence among university students. Therefore, this study aimed to assess exposure to violence and its associated factors among univerBackgroundViolence is a major public health concern with a significant impact on the health and well-being of individuals, families, and communities. Living in a new environment without parental control and experimenting with new lifestyles may increase the risk of violence among university students. Therefore, this study aimed to assess exposure to violence and its associated factors among univer

Externally bonded reinforcement (EBR) was used to increase load bearing capacity of light weight aggregate concrete (LWA) masonry walls subjected to eccentric axial compression. Ladder type masonry reinforcement, high strength steel wire strips and glass fiber mesh were used for strengthening of eleven, 2.4 m high, 0.5 m long and 0.1 m thick walls. The reinforcement was applied on the dry wall sur

Sustainable use of wood requires an understanding of expected service life, particularly when the material is exposed to outdoor conditions and, thus, fungal decay. Since moisture is the primary vector for fungal decay, accurate moisture prediction is a key component in service life assessment. For this purpose, the present study leverages existing measured data for linear regression of in-field m