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When talking about products, people often express their needs in vague terms with vocabulary that does not necessarily overlap with product descriptions written by retailers. This poses a problem for chatbots in online shops, as the vagueness and vocabulary mismatch can lead to misunderstandings. In human-human communication, people intuitively build a common understanding throughout a conversatio
How variations in carbon supply affect wood formation remains poorly understood in particular in mature forest trees. To elucidate how carbon supply affects carbon allocation and wood formation, we attempted to manipulate carbon supply to the cambial region by phloem girdling and compression during the mid- and late-growing season and measured effects on structural development, CO2 efflux and nons
Diatoms are an important group of eukaryotic microalgae, which play key roles in marine biochemical cycling and possess significant biotechnological potential. Despite the importance of diatoms, their regulatory mechanisms of protein synthesis at the translational level remain largely unexplored. Here, we describe the detailed development of a ribosome profiling protocol to study translation in th
Financial accounting is a process that goes from the company’s transactions, through the accounting system and production of financial statements, to the use and analysis of the information by external parties. The analysis of financial statements is the basis for many important decisions. This book explains the fundamental role of financial accounting in the economy.The book covers both technicalFinancial accounting is a process that goes from the company’s transactions, through the accounting system and production of financial statements, to the use and analysis of the information by external parties. The analysis of financial statements is the basis for many important decisions. This book explains the fundamental role of financial accounting in the economy.The book covers both technical
Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy techniques have been used extensively for metabolite profiling. Although combining these two analytical modalities has the potential of enhancing metabolite coverage, such studies are sparse. In this study we test the hypothesis that combining the metabolic information obtained using liquid chromatography (LC) MS and 1H NMR s
Inom forskningen refererar självskadebeteende till beteenden med låg dödlighet och där suicidintention är osannolikt, så som att skära, slå, och bränna sig själv. Denna avhandling ämnade undersöka; i) mental hälsa och välmående bland svenska unga vuxna som har slutat skada sig sedan tonåren, och ii) de psykosociala faktorerna som bidrar till att en slutar skada sig och mår bättre under denna perioNon-suicidal self-injury (NSSI) is an umbrella term for non-lethal behaviours that are unlikely to be intended as suicidal, such as cutting, hitting, or burning oneself. The aims of this dissertation were to investigate i) the mental health and well-being of Swedish young adults who have ceased engaging in NSSI since adolescence, and ii) the psychosocial conditions that facilitate NSSI cessation a
In this work we use the method of eigenfamilies to construct explicit complex-valued proper p-harmonic functions on the compact real Grassmannians. We also find proper p-harmonic functions on the real flag manifolds which do not descend onto any of the real Grassmannians
Background: Choice theory stems from psychological concepts like self-concept, successful identity, and quality of the world. The theory encourages adolescents to accept the responsibility for their choices on the one hand and predict the effect of such decisions on their lives on the other hand. The present study aimed to investigate the effectiveness of choice theory-based group training in inte
Pathological disturbance to one's identity is closely linked with mental illness and in particular personality disorders. Current measures of identity pathology within clinical research are nevertheless inconsistently used and present with substantial limitations such as disproportionate focus on adolescence. The Self-Concept and Identity Measure (SCIM) identifies pathological and non-pathological
BACKGROUND: Studies of infants with an elevated likelihood of autism spectrum disorder can identify basic developmental processes that are associated with subsequently emerging clinical symptoms. Atypical responsiveness to sounds in infancy is such a potential early marker of autism. Here, we used pupillometry to quantify reactivity to social and nonsocial sounds in infants with a subsequent diagn
BACKGROUND: Pragmatic language is key for adaptive communication, but often compromised in neurodevelopmental conditions such as autism spectrum disorder (ASD). Decontextualized language-to talk about events and things beyond here and now-develops early in childhood and can be seen as a pre-pragmatic ability. Little is known about the factors that contribute to decontextualized language use in tod
BACKGROUND: From birth, infants orient preferentially to faces, and when looking at the face, they attend primarily to eyes and mouth. These areas convey different types of information, and earlier research suggests that genetic factors influence the preference for one or the other in young children.METHODS: In a sample of 535 5-month-old infant twins, we assessed eye (relative to mouth) preferenc
When we communicate with others, we use a variety of abilities to facilitate and enable that communication. These abilities range from being responsive to others’ communicative cues to making one’s own communication more functional. Such facilitators of communication has been suggested as atypical in the development of autism. Reduced infant responsiveness towards communicative cues -– such as speWhen we communicate with others, we use a variety of abilities to facilitate and enable that communication. These abilities range from being responsive to others’ communicative cues to making one’s own communication more functional. Such facilitators of communication has been suggested as atypical in the development of autism. Reduced infant responsiveness towards communicative cues – such as spe
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Globally, the lifespan of populations increases but the healthspan is lagging behind. Previous research showed that survival into extreme ages (longevity) clusters in families as illustrated by the increasing lifespan of study participants with each additional long-lived family member. Here we investigate whether the healthspan in such families follows a similar quantitative pattern using three-ge
Chronic lymphocytic leukemia (CLL) is the most common leukemia among adults worldwide. Although genome-wide association studies (GWAS) have uncovered the germline genetic component underlying CLL susceptibility, the potential use of GWAS-identified risk variants to predict disease progression and patient survival remains unexplored. Here, we evaluated whether 41 GWAS-identified risk variants for C
OBJECTIVE: Traditionally, the diagnosis of pleural mesothelioma is based on histological material. Minimally invasive effusion cytology specimens are an alternative that, like biopsies, require ancillary analyses. Validation of immunohistochemical (IHC) analyses on cytology, including the surrogate markers for molecular alterations BAP1 and MTAP, is of interest.METHODS: IHC for eight different mar
In this paper, a comparative study of core losses in laminated steel samples by means of inferential statistics is presented. In particular, core loss measurements taken upon Epstein Frame, Single-Strip tester, and Ring Core specimens at several frequencies and induction levels are compared via Analysis of Variance and two-sample t-tests. The hypothesis of a statistically significant difference am
Durability and service life assessment is a major challenge for the design and use of timber in outdoor weather exposed environments. Rate of deterioration by fungal decay is closely linked to variations in wood moisture content. The objective of the present paper is to test and evaluate different data-driven models based on the multilinear regression (MLR) and artificial neural network (ANN) appr
