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I den kommunikativa organisationen värdesätts olika röster och det existerar ett . to the increasing political strength of the Social Democrats and their evolution from Cecilia Medicin och hälsovetenskap Psykologi sexuella övergrepp sexuell in cross-linguistic perspective kwansei.info Burenhult. DEN 3 DECEMBER Human Sexual Evolution. Av Goran Burenhult The Evolution of Human Sexuality [], and Bo Gräslund in The First Steps. Den magiska butiken: en neurokirurgs jakt på hjär Rymdjournalisten och Hämta Den sexuella evolutionen - Göran Burenhult . Hämta En.

The Role of Socioeconomic Status in the Association of Lung Function and Air Pollution: A Pooled Analysis of Three Adult ESCAPE CohortsIn: International. Göran Burenhult is the author of The First Humans ( avg rating, Den sexuella evolutionen: Evolutionära perspektiv på människans sexualitet och. Den sexuella evolutionen: evolutionära perspektiv på människans sexualitet och könsroller. Burenhult, Göran. ISBN X / ISBN

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The intergroup differences, however, suggest that mechanisms involved in successful memory aging may delay symptom onset. In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language.

These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. Topic modeling is one such algorithm that solves the problem of categorizing documents into multiple groups with the goal of maximizing the intra-group document similarity. However, the manifestation of short texts like tweets, snippets, comments, and forum posts as the dominant source of text in our daily interactions and communications, as well as being the main medium for news reporting and dissemination, increases the complexity of the problem due to scalability, sparsity, and dynamicity.

Scalability refers to the volume of the messages being generated, sparsity is related to the length of the messages, and dynamicity is associated with the ratio of changes in the content and topical structure of the messages e.

We improve the scalability and accuracy of Natural Language Processing algorithms from three perspectives, by leveraging on innovative graph modeling and graph partitioning algorithms, incremental dimensionality reduction techniques, and rich language modeling methods.

We begin by presenting a solution for multiple disambiguation on short messages, as opposed to traditional single disambiguation. The solution proposes a simple graph representation model to present topical structures in the form of dense partitions in that graph and applies disambiguation by extracting those topical structures using an innovative distributed graph partitioning algorithm.

Next, we develop a scalable topic modeling algorithm using a novel dense graph representation and an efficient graph partitioning algorithm. Then, we analyze the effect of temporal dimension to understand the dynamicity in online social networks and present a solution for geo-localization of users in Twitter using a hierarchical model that combines partitioning of the underlying social network graph with temporal categorization of the tweets.

This result leads to design and development of a dynamic topic modeling solution, involving an online graph partitioning algorithm and a significantly stronger language modeling approach based on the skip-gram technique. The algorithm shows strong improvement on scalability and accuracy compared to the state-of-the-art models.

Finally, we describe a dynamic graph-based representation learning algorithm that modifies the partitioning algorithm to develop a generalization of our previous work.

A strong representation learning algorithm is proposed that can be used for extracting high quality distributed and continuous representations out of any sequential data with local and hierarchical structural properties similar to natural language text. In the context of digital transformation DT , companies are exposed to various sorts of opportu-nities, both technological and business. Huge potential for value generation lies in Product-IT — built-in software and digital services enhancing the products, which is currently considered separately from Enterprise-IT.

Integrated consideration of Product-IT and Enterprise-IT is hindered by various challenging factors, such as the mismatch between agile and traditional modes of IT development and mainte-nance, disjointed technology platforms and overall lack of methodological support to address Product-IT in a coherent way.

The proposed method is the central artifact of the applied design science research, which was grounded and evaluated both theoretically and empirically through literature reviews, an industrial case study and interviews.

The proposed method has several parts: key concepts for product-IT inclusive EA modeling, expanding the traditional set of EA concepts; a set of focal areas to facilitate integrated modeling and analysis of Product-IT and Enterprise-IT; and a set of recommendations for participatory modeling of the pro-posed focal areas by relevant stakeholders.

The report provides raw listings of the results of topic modeling experiments, intended for readers interested in taking a closer look at these. Monoamine neurotransmitters are released by specialized neurons regulating behavioral, motor, and cognitive functions. Although the localization of monoaminergic neurons in the brain is well known, the distribution and kinetics of monoamines remain unclear.

The analysis of 5-HT fluctuations in response to acute tryptophan depletion and infusion of isotope-labeled tryptophan in vivo revealed a close kinetic association between the raphe nuclei, PVT, and amygdala but not the other nuclei.

Our findings imply the existence of a highly dynamic 5-HT-mediated raphe to PVT pathway that likely plays a role in the brain monoamine system. Objectives: this prospective, cluster randomised, controlled trial investigated the effect of oral neuromuscular training among older people in intermediate care with impaired swallowing.

The primary endpoint was the change in swallowing rate assessed with a timed water swallow test from baseline to the end-of-treatment and 6 months post-treatment. The secondary endpoints were changes in signs of aspiration during the water swallow test, and swallowing-related quality of life QOL. An intention-to-treat principle was followed, and mixed-effects models were used for data analysis with the clustered study design as a random factor.

No significant between-group differences were found for swallowing-related QOL. Conclusions: oral neuromuscular training is a new promising swallowing rehabilitation method among older people in intermediate care with impaired swallowing. Efficient functionalization of C-H bonds can be achieved using transition metal catalysts, such as Pd OAc 2. To better control the regioselectivity in these reactions, some functional groups on the substrate may be used as directing groups, guiding the reactivity to an ortho position.

Herein, we describe amethodology to score the relative strength of such directing groups in palladium-catalyzed aromatic C-H activation. The results have been collected into a scale that serves to predict the regioselectivity on molecules with multiple competing directing groups. We demonstrate that this scale yields accurate predictions on over a hundred examples, taken from the literature. In addition to the regioselectivity prediction on complex molecules, the knowledge of the relative strengths of directing groups can also be used to work with new combinations of functionalities, exploring uncharted chemical space.

Purpose: Inhaled corticosteroids ICS are often more widely prescribed in the treatment of chronic obstructive pulmonary disease COPD than what is recommended in the guidelines. Patients and methods: Appropriateness of ICS therapy was studied with respect to concomitant asthma, history of exacerbations and blood eosinophils B-Eos in a Swedish cohort of primary and secondary care patients with COPD. Factors associated with ICS were investigated using multivariable logistic regression.

There was, however, also a subgroup of patients not using ICS for whom there was an indication for starting ICS treatment. Patients using ICS were characterized by more frequent exacerbations and lower lung function. Engaging with her philosophical work brings to light some of the most pressing questions of our time.

Analysen visar hur bl. Mosaic loss of chromosome Y LOY is the most common somatic genetic aberration and is associated with increased risk for all-cause mortality, various forms of cancer and Alzheimer's disease, as well as other common human diseases. By tracking LOY frequencies in subjects from which blood samples have been serially collected up to five times during up to 22 years, we observed a pronounced intra-individual variation of changes in the frequency of LOY within individual men over time.

We observed that in some individuals the frequency of LOY in blood clearly progressed over time and that in other men, the frequency was constant or showed other types of longitudinal development. The predominant method used for estimating LOY is calculation of the median Log R Ratio of probes located in the male specific part of chromosome Y mLRRY from intensity data generated by SNP-arrays, which is difficult to interpret due to its logarithmic and inversed scale.

The methods described could be applied for analyses of the vast amount of SNP-array data already generated in the scientific community, allowing further discoveries of LOY associated diseases and outcomes. Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time.

Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. Large data sets can be handled using data abstraction techniques by transforming the raw data into a simpler format while, at the same time, preserving significant features that are important for the user.

When dealing with time-series data, abstraction techniques should also take into account the underlying temporal characteristics. This thesis focuses on different data abstraction and pattern identification methods particularly in the cases of large 1D time-series and 2D spatio-temporal time-series data which exhibit spatiotemporal discontinuity.

Based on the dimensionality and characteristics of the data, this thesis proposes a variety of efficient data-adaptive and user-controlled data abstraction methods that transform the raw data into a symbol sequence. The transformation of raw time-series into a symbol sequence can act as input to different sequence analysis methods from data mining and machine learning communities to identify interesting patterns of user behavior.

In the case of very long duration 1D time-series, locally adaptive and user-controlled data approximation methods were presented to simplify the data, while at the same time retaining the perceptually important features. The simplified data were converted into a symbol sequence and a sketch-based pattern identification was then used to identify patterns in the symbolic data using regular expression based pattern matching.

The method was applied to financial time-series and patterns such as head-and-shoulders, double and triple-top patterns were identified using hand drawn sketches in an interactive manner. Through data smoothing, the data approximation step also enables visualization of inherent patterns in the time-series representation while at the same time retaining perceptually important points. Very long duration 2D spatio-temporal eye tracking data sets that exhibit spatio-temporal discontinuity was transformed into symbolic data using scalable clustering and hierarchical cluster merging processes, each of which can be parallelized.

The raw data is transformed into a symbol sequence with each symbol representing a region of interest in the eye gaze data.

The identified regions of interest can also be displayed in a Space-Time Cube STC that captures both the temporal and contextual information. Through interactive filtering, zooming and geometric transformation, the STC representation along with linked views enables interactive data exploration. Using different sequence analysis methods, the symbol sequences are analyzed further to identify temporal patterns in the data set. Data collected from air traffic control officers from the domain of Air traffic control were used as application examples to demonstrate the results.

This report contains three policy briefs on interventions that aims to increase equality in health. The policy briefs highlights supporting school completion, employment of individuals with severe mental health problems and increasing tobacco taxes. The fact that inequalities in health by socioeconomic position have substantially widened over time in the Nordic countries is something that worries Nordic public health researchers as well as politicians and policy makers.

To exchange knowledge and find new ways of tackling health inequalities is therefore a priority in the Nordic cooperation. In order for software project management courses to be effective, they should be appropriately aligned to the learning outcomes.

Common misalignments are caused by using an incorrect degree of realism or inappropriate support. Despite calls for the use of reflexive methods in Information Systems, few notable autoethnographic works have made an impact in the field. This paper acknowledges the increase of interest in topics related to technology non-use and offers autoethnography as a possible solution to methodological challenges in studying absence of technology. As autoethnography allows the researchers to experi- ence the effects of technology absence first hand, evocative accounts emerge making visible practices and phenomena that were not apparent before, or bringing into question assumed behaviours.

The paper uses a vignette from an autoethnographic study to illustrate the type of data that can emerge, followed by a discussion on the validity and legitimacy of the method, as well as concrete possible steps researchers can take in planning autoethnographic work.

Furthermore, an argument is present- ed in defence of subjectivity as way of interrogating topics in which trustworthiness and authenticity are of utmost value. Finally, the merits of autoethnography are presented to the community of Infor- mation Systems researchers who are interested in investigating technology adoption as well as non- adoption through qualitative methods.

In this thesis, results from four empirical studies and a re-analysis are synthesized with what can constitute a structural approach to teaching and learning additive part-whole relations among learners aged four to eight years. In line with a structural approach to additive relations, the relations of parts and whole are in focus from the outset and are seen as the basis for addition and subtraction Davydov ; Neuman, This approach was introduced by the researches in two intervention studies across different contexts.

The researches collaborated with teachers in planning part-whole activities, teachers teaching them in their own settings, and then reflecting on them together with the research team.

The empirical material consists of video-recorded lessons Grade 3 , small-group teaching preschool and individual video-recorded task-based learner interviews with preschoolers. The teaching episodes and interviews were analyzed on a micro-level, using analytical tools and concepts from variation theory Marton, Looking at the articles and the re-analysis, the results suggest that, for learning, it matters which representations are offered to the children.

Some representations seem to facilitate the discernment of the parts and whole, and their relations. The results suggest that it matters which examples are offered. A systematic sequence of examples has the potential to bring to the fore relations between different part-whole examples, which offer the children opportunity to learn mathematical principles such as commutativity.

Furthermore, the results indicate that what is made possible to learn about additive part-whole relations is associated with what aspects are opened up as dimensions of variation Marton, Foremost, though, the results reveal the importance of making connections to highlight number relations and key features associated with the structural approach to additive relations.

The results suggest that how variation is offered, and whether and how the teacher explicitly verbally and gesturally draws attention to relations, ideas and aspects, is crucial for the learning of additive part-whole relations. Moreover, through the separate articles and the re-analysis, the outcomes indicate that the structural approach to additive part-whole relations and conjectures from variation theory are possible to implement in different contexts and for different ages of children.

This report gives an account of all the cryogenic tests performed on the prototype spoke cryomodule, which housed Romea cavity 1 and Giulietta cavity 2 with all their ancillary equipment, such as static and dynamic heat loads under different circumstances.

Being aware of the extent of the tourism industry and that it is ever growing, which is also encouraged in many individual countries by the national and regional governments, it is evident that the tourism industry is an essential target group for introducing circular concepts and implementing circular solutions. Yet, this sector has so far received little attention in the literature and initiatives on circularity. It also invites us to open up and interact with other stakeholders and the general public.

In your hands is the first training material in circular economy specifically developed for small to medium sized companies of the tourism industry in the South Baltic Region. It is a small but important step in the direction towards circularity and a wellbeing society. Through this work we have shown that despite cultural challenges and regional differences there is a shared, common interest in making tourism more sustainable and even to work together towards a transformation of the hospitality industry.

This common vision has been stronger than the challenges we faced in making this work and this is what will ensure the continued growing awareness on circularity and its integration in different sectors in our communities. In this work we have featured some of the groundbreaking experts in this field, and some of the first good practices from our regions. They are all courageous pioneers in a field that with time will become the norm.

Wastewater from chemical mechanical planarization CMP processes in nano-electronics industries must be treated properly in order to fulfil local and international environmental regulations. This study is focused on a performance assessment of membrane distillation MD technology for CMP wastewater treatment.

The module was tested at different operating conditions temperatures, flow rates and filtration time and responses in terms of separation efficiency, permeate water quality, transmembrane flux, specific heat demand and exergy efficiency were determined.

High quality permeate was produced in all trials, i. These findings clearly show that the resulting MD permeate does not exceed environmental regulations for release to recipient, and the permeate can even be considered for reuse. We assessed the association of statin use with clinical outcomes in patients with HF. We followed the guidelines of the PRISMA statement for reporting and applied independent extraction by multiple observers. Meta-analyses of hazard ratios HRs of effects of statins on clinical outcomes used generic inverse variance method and random model effects.

Clinical outcomes were all-cause mortality, cardiovascular CV mortality and CV hospitalization. Compared with non-statin use, statin use was associated with lower risk of all-cause mortality HR 0.

Similarly, CV mortality HR 0. Lipophilic statins seem to be much more favorable for patients with heart failure. Despite assumptions about the ubiquity of wartime sexual violence, some armed actors work hard to generate negative views of rape and other abuses. This article qualitatively explores rebel group stigmatisation and stigma of wartime sexual violence and prohibitive normative practices.

Regularly discussed with reference to the shaming of victims or survivors, stigmatisation is nonetheless utilised here as a concept for understanding how sexual coercion is "made" deviant and consequential for potential perpetrators.

The FNL stigmatised rape and sexual assault, and the nature and quality of its practices shaped negative social norms surrounding rape. The article's main contribution is to demonstrate the need to deepen and widen the evidence base on the prevention of wartime sexual violence. The main purpose of this thesis was to study the circumstances under which anchoring biases occur for estimation of age, weight and height.

Paper I investigated accuracy and biases in age estimates made by salespersons with experience in age estimation, compared to a control group without any similar experience.

The accuracy in age estimates of young target persons years old made by salespersons was higher than that of control persons.

Moreover, the salespersons demonstrated less overestimation of the age of younger target persons, and whereas the control group own-anchored in their age estimates, the salespersons did not.

Paper II and IV investigated gender differences in the tendency to own-anchor in within- and cross-gender estimates of age, weight and height. Both papers found that women own-anchor spontaneously both within and across gender, whereas men for the most part own-anchor only in their estimates of other men. Paper III aimed to investigate whether standard anchoring effects i.

Anchor effects were found for both age estimations and quantity estimations, and were not affected by neither cognitive load nor source credibility. We presented our work and agenda on many occasions in Sweden and around the world.

Over the past year we co-organized two large events in Stockholm and in Amsterdam. In this report, we document the progress made by the entire team over our second year of activities. Heritage futures are concerned with the roles of heritage in managing the relations between present and future societies, e. Our work is dedicated to developing professional strategies that can enhance how heritage shapes the future. We ask questions such as: Which future do we preserve the heritage for?

Which heritage will benefit future generations most? How can we build capacity in future thinking futures literacy among heritage professionals worldwide? The chairs serve as think-tanks and bridge-builders between human communities, civil society, academia, and policy-making, generating innovation through research, informing policy decisions and establishing new teaching initiatives.

The chairs serve as thinktanks and bridgebuilders between human communities, civil society, academia, and policy-making, generating innovation through research, informing policy decisions and establishing new teaching initiatives.

The Chair is dedicated to developing professional strategies concerning the role of heritage in shaping the future.

We ask questions such as: how does specific heritage of various kinds contribute to improving future society? What heritage needs to be preserved for the benefit of future generations?