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pSTAT3 Expression is Increased in Advanced Prostate Cancer in Post-Initiation of Androgen Deprivation Therapy

Background: The transcription factor Signal Transducer and Activator of Transcription 3 (STAT3) plays a role in carcinogenesis and is involved in processes, such as proliferation, differentiation, drug resistance and immunosuppression. STAT3 can be activated by phosphorylation of tyrosine at position 705 (pSTAT3Tyr705) or serine at 727 (pSTAT3Ser727). High expression levels of pSTAT3 are implicate

Långsiktig effektivitet ställer stora krav på kommuner

Hur kan svenska kommuner navigera i en alltmer komplex och osäker framtid? Med intervjuer och dokumentstudier från elva kommuner blottlägger en ny studie de strategiska utmaningarna och belyser vikten av balans mellan kapacitet och öppenhet för nya lösningar. Fyra kommuntyper träder fram.

ISHLT consensus statement on the perioperative use of ECLS in lung transplantation : Part II: Intraoperative considerations

The use of extracorporeal life support (ECLS) throughout the perioperative phase of lung transplantation requires nuanced planning and execution by an integrated team of multidisciplinary experts. To date, no multidisciplinary consensus document has examined the perioperative considerations of how to best manage these patients. To address this challenge, this perioperative utilization of ECLS in l

A Population-Based Multigenerational Family Coaggregation Study of Severe Infections and Obsessive-Compulsive Disorder

Background: Postinfectious autoimmune processes have been proposed as potential causal risk factors for obsessive-compulsive disorder (OCD). In this large population-based study, we aimed to clarify the familial coaggregation pattern between severe infections and OCD across clusters of relatives with varying degrees of relatedness. Methods: We identified 4,916,898 individuals born in Sweden betwee

Robust multitaper reassignment vectors for enhanced time-frequency representation

Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectro

Atomistic assessment of interfacial interaction potential in tungsten twist grain boundaries

The present study focuses on the computation of interfacial excess potential for the cohesive zones through which a brittle crack propagates in tungsten (W) twist grain boundaries (TGBs). Additionally, the influence of phosphorus (P) impurities is investigated. To this end, we have performed classical atomistic modeling of several ⟨110⟩ TGBs in their pristine and P-impurity segregated states. The

Modulus of continuity and its application in classifying the smoothness of images.

The problems of de-blurring, de-noising, compression and segmentation are fundamental problems in image processing. Each of these problems can be formulated as a problem to find some approximation of an initial image. To find this approximation one needs to specify the approximation space and in what space the error between the image and its approximation should be calculated.Using the space of Bo

Towards conceptualising refugee entrepreneur/ship

Refugee entrepreneurship emerged as a distinct area of inquiry, delving into the complex relationship between experiences of conflict, forced displacement, and entrepreneurial behaviour. However, an inconsistent and fragmented literature that lacks a unified understanding hinders this emerging stream. To tackle this issue, this chapter engages in a scholarly endeavour to conceptualise refugee entr

Photo-supported conversations about well-being (BeWellTM) for patients with exhaustion disorders–a controlled clinical intervention study

Introduction: Health-promotion approaches to address stress-related exhaustion disorders, reduce personal suffering, improve coping and participation in everyday life are needed in primary care. The aim of this study was to investigate self-reported health and well-being before and after an intervention focusing on well-being with photo-supported conversations (BeWellTM). Material and methods: Eig

Generating surface topography of paperboard using diffusion models

This thesis uses the unsupervised deep learning method of generative diffusion models to generate images of paperboard surfaces. As the images are intended to be used as input to various simulations by food packaging company Tetra Pak, simply looking at them is not sufficient to determine their quality. For this reason, some new evaluation metrics, specific to paperboard images, are proposed and u

Association between distal radius fracture malunion and patient-reported disability : a systematic review and meta-analysis

• Purpose: To assess whether distal radius fracture (DRF) malunion is associated with greater patient-reported disability. • Methods: We searched PubMed, EMBASE, and Cochrane databases up to 21 May 2023. Two reviewers independently screened retrieved titles/abstracts and assessed the full text of potentially eligible articles to identify cohort studies and randomized controlled trials reporting ou

Långklubbsteklar (Chalcidoidea: Signiphoridae) i Sverige, med en ny art för landet samt nya landskapsfynd

The Swedish species of signiphorids (Chalcidoidea: Signiphoridae) are reviewed. Three species occur in the country, of which Clytina giraudi Erdös, 1957 is reported for the first time. Specimens of this species were reared from galls induced by Lipara lucens Meigen, 1830 (Diptera: Chloropidae) on common reed (Phragmites australis). New province records for the other two species, Chartocerus subaen

Digital technologies for water use and management in agriculture: Recent applications and future outlook

This article provides a comprehensive overview of digital technologies for water use and management in agriculture, examining recent applications and future prospects. It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robot