Universidad de Deusto

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Analysis of the genomes of four patients with chronic lymphocytic leukaemia, and validation in more than 300 patients, has identified four genes — NOTCH1, MYD88, XPO1 and KLHL6 — that are recurrently mutated in the condition. Mutations in NOTCH1, MYD88 and XPO1 are thought to contribute to the clinical evolution of the disease. Evidence that NOTCH1 and MYD88 mutations are activating events highlights them as potential therapeutic targets. Chronic lymphocytic leukaemia (CLL), the most frequent leukaemia in adults in Western countries, is a heterogeneous disease with variable clinical presentation and evolution1,2. Two major molecular subtypes can be distinguished, characterized respectively by a high or low number of somatic hypermutations in the variable region of immunoglobulin genes3,4. The molecular changes leading to the pathogenesis of the disease are still poorly understood. Here we performed whole-genome sequencing of four cases of CLL and identified 46 somatic mutations that potentially affect gene function. Further analysis of these mutations in 363 patients with CLL identified four genes that are recurrently mutated: notch 1 (NOTCH1), exportin 1 (XPO1), myeloid differentiation primary response gene 88 (MYD88) and kelch-like 6 (KLHL6). Mutations in MYD88 and KLHL6 are predominant in cases of CLL with mutated immunoglobulin genes, whereas NOTCH1 and XPO1 mutations are mainly detected in patients with unmutated immunoglobulins. The patterns of somatic mutation, supported by functional and clinical analyses, strongly indicate that the recurrent NOTCH1, MYD88 and XPO1 mutations are oncogenic changes that contribute to the clinical evolution of the disease. To our knowledge, this is the first comprehensive analysis of CLL combining whole-genome sequencing with clinical characteristics and clinical outcomes. It highlights the usefulness of this approach for the identification of clinically relevant mutations in cancer.

This article presents a review of the methods used in recognition and analysis of the human gait from three different approaches: image processing, floor sensors and sensors placed on the body. Progress in new technologies has led the development of a series of devices and techniques which allow for objective evaluation, making measurements more efficient and effective and providing specialists with reliable information. Firstly, an introduction of the key gait parameters and semi-subjective methods is presented. Secondly, technologies and studies on the different objective methods are reviewed. Finally, based on the latest research, the characteristics of each method are discussed. 40% of the reviewed articles published in late 2012 and 2013 were related to non-wearable systems, 37.5% presented inertial sensor-based systems, and the remaining 22.5% corresponded to other wearable systems. An increasing number of research works demonstrate that various parameters such as precision, conformability, usability or transportability have indicated that the portable systems based on body sensors are promising methods for gait analysis.

The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion.

This paper presents an extensive review on the artifact removal algorithms used to remove the main sources of interference encountered in the electroencephalogram (EEG), specifically ocular, muscular and cardiac artifacts. We first introduce background knowledge on the characteristics of EEG activity, of the artifacts and of the EEG measurement model. Then, we present algorithms commonly employed in the literature and describe their key features. Lastly, principally on the basis of the results provided by various researchers, but also supported by our own experience, we compare the state-of-the-art methods in terms of reported performance, and provide guidelines on how to choose a suitable artifact removal algorithm for a given scenario. With this review we have concluded that, without prior knowledge of the recorded EEG signal or the contaminants, the safest approach is to correct the measured EEG using independent component analysis-to be precise, an algorithm based on second-order statistics such as second-order blind identification (SOBI). Other effective alternatives include extended information maximization (InfoMax) and an adaptive mixture of independent component analyzers (AMICA), based on higher order statistics. All of these algorithms have proved particularly effective with simulations and, more importantly, with data collected in controlled recording conditions. Moreover, whenever prior knowledge is available, then a constrained form of the chosen method should be used in order to incorporate such additional information. Finally, since which algorithm is the best performing is highly dependent on the type of the EEG signal, the artifacts and the signal to contaminant ratio, we believe that the optimal method for removing artifacts from the EEG consists in combining more than one algorithm to correct the signal using multiple processing stages, even though this is an option largely unexplored by researchers in the area.

Abstract Extant literature, while often suggesting a positive link between green innovation and firm performance, is inconclusive. Moreover, the possibly moderating role of management has not been sufficiently considered. Using a unique dataset sampling 188 manufacturing firms in China, we examine how managerial concern (for green issues) moderates the relationship between green innovation and firm performance. We find that green process innovation and green product innovation both significantly (positively) predict firm performance, when not considering managerial concern for the environment. Once managerial concern is included, we observe that it compounds the positive effect of green process innovation on firm performance – but not product innovation, which no longer explains significant unique variance in firm performance. The findings hold various implications for future research and business policy. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment

As the only surviving pre-Indo-European language of western Europe, Basque has often attracted the interest of linguists. Whereas, traditionally, descriptive work on Basque has primarily focused on morphological features, including its complex system of verb-argument agreement and its strict ergative pattern of inflection, during the last two decades a new generation of Basque linguists has produced very sophisticated, theoretically-informed work on many aspects of the syntax, morphology and phonology of the language, revealing, for instance, a process of focalization with many interesting properties and the existence in some dialects of an accentual system strikingly similar to that of standard Japanese. The book, bringing together this accumulated knowledge on the structure of Basque, is considerably more complete than any other existing grammar of the language. Another interesting feature of this grammar is that the description is illustrated with fully-glossed examples extracted from a great number of written sources. Although the focus is the modern standard language, dialectal features are considered in detail and examples are taken from all dialects and periods.

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.

Background: The lockdown and social distancing caused by COVID-19 may influence common health behavior. The unprecedent worldwide confinement, in which Spain has been one of the most affected—with severe rules governing confinement—may have changed physical activity (PA) and sedentary habits due to prolonged stays at home. Purpose: The aim of this study is to evaluate how self-reported PA and sedentary time (ST) have changed during confinement in the Spanish population. Methods: 3800 healthy adults (age 18–64 years) residing in Spain answered the international physical activity questionnaire short (IPAQ-S) twice between 23 March and 1 April (confinement). Data analysis was carried out taking into consideration meeting general PA recommendations before confinement, age and gender. Results: Self-reported PA decreased significantly during confinement in our sample. Vigorous physical activities (VPA) and walking time decreased by 16.8% (p < 0.001) and 58.2% (p < 0.001), respectively, whereas ST increased by 23.8% (p < 0.001). The percent of people fulfilling the 75 min/week of VPA recommendation decreased by 10.7% (p < 0.001) while the percent of people who reached 150 min/week of moderate activity barely changed (1.4%). The group that performed the most VPA before confinement showed the greatest decrease (30.5%, p < 0.001). Men reduced time in VPA more than women (21% vs 9%, respectively) who even increased time in moderate PA by 11% (p < 0.05) and reported less increase in ST than men (35% vs 25.3%, respectively). Conclusion: The Spanish adult population, especially young people, students and very active men, decreased daily self-reported PA and increased ST during COVID-19 confinement.

Twenty-eight patients with focal (arm or leg) or hemidystonia due to tumour, arteriovenous malformation, infarction, haemorrhage or hemiatrophy are described. All had typical dystonic movements and/or postures, identical to those seen in idiopathic (primary) torsion dystonia. The site(s) of the lesion responsible, as defined by CT (computerized tomography) scan or pathological examination, was in the contralateral caudate nucleus, lentiform nucleus (particularly the putamen) or thalamus, or in a combination of these structures. Review of 13 other patients in the literature with hemidystonia and lesions defined by CT scan, and of 7 other patients with pathologically discrete lesions associated with hemidystonia, also indicated involvement of these structures. Dystonia may be due to abnormal input from thalamus to premotor cortex, due to lesions either of the thalamus itself, or of the striatum projecting by way of the globus pallidus to the thalamus.

The topic of servitization has generated a considerable body of research and many conferences, as well as industry engagement. Yet, despite the extensive literature associated with this now-mature discipline, there is no broad-based consensus on the core concepts and definitions deployed by servitization scholars, and both terminology and usage often seem ambiguous. This paper examines challenges related to service growth strategies, as well as strategies involving deservitization or a retreat from service offerings. Showing that these strategies have been pursued for more than fifty years, clarification is sought here by framing the corresponding processes and proposing definitions for four core terms: servitization, service infusion, deservitization and service dilution. It becomes clear that in focusing on the organizational change entailed by these processes, future research must elucidate “softer” issues such as leadership and business logic.

Author biographies Adam Joinson is a psychologist with interests in information systems, computermediated communication and privacy; he is a senior lecturer in Information Systems in the School of Management at the University of Bath Ulf-Dietrich Reips is a psychologist with interests in Internet-based research methodology (particularly experimental methodology); he is Assistant professor (Oberassistent) in the Department of Psychology, University of Zürich. Tom Buchanan is a psychologist with interests in Internet behavior; he is Reader in

The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around this topic. Research shows that, in social media, falsehood is shared far more than evidence-based information. However, there is less research analyzing the circulation of false and evidence-based information during health emergencies. Thus, the present study aims at shedding new light on the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared. To that end, 1000 tweets have been analyzed. Results show that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science-based evidence and fact-checking tweets capture more engagement than mere facts. These findings bring relevant insights to inform public health policies.

This Project Management Handbook is written in the framework of WP9 – Project Management (Task 9.1 Project Management) of TANGENT project under Grant Agreement No. 955273.<br> D9.1 intends to provide useful information to all partners about the procedures of the project, its management structure, main roles, working procedures, internal communication and decision-making procedures, reporting procedures, documents and deliverables quality management process.<br> The terms and provisions of the EU Grant Agreement (and its annexes) and the TANGENT Consortium Agreement will prevail in the event of any inconsistency with recommendation and guidelines defined in the present Project Management Handbook.

abstract How do regions diversify over time? Inspired by recent studies, we argue that regions diversify into industries that make use of capabilities in which regions are specialized. Since the spread of capabilities occurs through mechanisms that have a strong regional bias, we expect that capabilities that are available at the regional level play a larger role than do capabilities that are available at the country level for the development of new industries. To test this hypothesis, we analyze the emergence of new industries in 50 S panish regions at the NUTS 3 level in the period 1988–2008. We calculate the capability‐distance between new export products and existing export products in S panish regions and provide econometric evidence that regions tend to diversify into new industries that use similar capabilities as existing industries in these regions. We show that proximity to the regional industrial structure plays a much larger role in the emergence of new industries in regions than does proximity to the national industrial structure. This finding suggests that capabilities at the regional level enable the development of new industries.

Radio frequency identification (RFID) and wireless sensors networks (WSNs) are two fundamental pillars that enable the Internet of Things (IoT). RFID systems are able to identify and track devices, whilst WSNs cooperate to gather and provide information from interconnected sensors. This involves challenges, for example, in transforming RFID systems with identification capabilities into sensing and computational platforms, as well as considering them as architectures of wirelessly connected sensing tags. This, together with the latest advances in WSNs and with the integration of both technologies, has resulted in the opportunity to develop novel IoT applications. This paper presents a review of these two technologies and the obstacles and challenges that need to be overcome. Some of these challenges are the efficiency of the energy harvesting, communication interference, fault tolerance, higher capacities to handling data processing, cost feasibility, and an appropriate integration of these factors. Additionally, two emerging trends in IoT are reviewed: the combination of RFID and WSNs in order to exploit their advantages and complement their limitations, and wearable sensors, which enable new promising IoT applications.

A 5-study investigation of reactions of dominant group members (i.e., White Americans) to diversity (relative to racial minority reactions) provides evidence of implicit and explicit associations between multiculturalism and exclusion and of a relationship between perceived exclusion and reactions to diversity. In Study 1, Whites but not racial minorities were faster in an implicit association task at pairing multiculturalism with exclusion than with inclusion. This association diminished in Study 2 through a subtle framing of diversity efforts as targeted toward all groups, including European Americans. In Study 3, in a "Me/Not Me" task, Whites were less likely than minorities to pair multiculturalism concepts with the self and were slower in responding to multiculturalism concepts. Furthermore, associating multiculturalism with the self (Study 3) or feeling included in organizational diversity (Study 4) predicted Whites' endorsement of diversity and also accounted for the oft-cited group status difference in support for diversity initiatives. Study 5 showed that individual differences in need to belong moderated Whites' interest in working for organizations that espouse a multicultural versus a color-blind approach to diversity, with individuals higher in need to belong less attracted to organizations with a multicultural approach. Overall, results show that the purportedly "inclusive" ideology of multiculturalism is not perceived as such by Whites. This may, in part, account for their lower support for diversity efforts in education and work settings.

While start‐up firms create a substantial economic impact on most economies, the failure rate of start‐up firms seems to remain high over time. Few authors have examined the influence of intellectual capital management on business performance, and when it has been examined, the focus has been on large, mature and public companies. The purpose of this study is to analyze the extent to which IC assets are associated with new firm survival and growth. Results from this study suggest that the human capital of the entrepreneur (i.e. education, business experience and level of motivation), organizational capital (i.e. firm capacity to adapt quickly to changes and the ability to implement successful strategies), and relational capital (i.e. development of productive business networks and an immediate access to critical stakeholders) are important intangible assets, which seem to be related positively to venture performance.

Background Risky behaviors have been related to emotional regulation and attachment, which may constitute risk factors for developing an addictive behavior. However, there may also be differences between substance and non-substance-related addictions. Aims This study aimed to examine the relationship of emotional regulation and attachment, with substance (alcohol and drug abuse), and non-substance-related addictions (gambling disorder, video game addiction, and problematic Internet use) in adolescents and emerging adults. The study also aimed to examine gender differences for such predictors. Methods The sample comprised 472 students aged 13-21 years recruited from high schools and vocational education centers. Results Findings demonstrated that emotion regulation was predictive of all addictive behaviors assessed in this study (alcohol and drug abuse, gambling disorder, video game addiction, and problematic Internet use), whereas attachment predicted non-substance-related addictions (gambling disorder, video game addiction, and problematic Internet use). In addition, gender differences were found, with females scoring significantly higher in maternal and peer attachment, whereas males scored significantly higher in gambling disorder and video game addiction. Conclusion The findings may be useful for preventive and clinical interventions conducted with youth regarding addictive behaviors.

Abstract In the early part of this decade, at the beginning of the recent international commodity price boom, Peru adopted major components of the new ‘localist’ policy paradigm for the management of natural resources. A large fraction of revenues were transferred to the subnational governments in the mining areas. Additionally, the government encouraged mining companies to assume a more active role locally. The results have been disappointing. Statistical and fieldwork evidence shows that these policies have exacerbated local political conflicts. The new ‘localist’ policy paradigm is unlikely to be effective when, as in contemporary Peru, national political institutions are not supportive.