391 research outputs found
Technological contribution of MNEs to the growth of energy-greentech sector in the early post-Kyoto period
International audienceWe consider the commitment of large firms with high R&D investments to the development of technologies of climate change mitigation related to the production or storage of energy. We analyse such Climate Change Mitigation Technologies focused on energy production and storage (energy CCMT) across the globe with the aim of assessing whether the Kyoto Protocol fosters the diffusion of inventive activity in energy greentech. Using patents as the key dataset, we give an empirical description of the corporate patenting activity and assess its contribution to the overall energy CCMT inventions across countries and sectors of energy greentech before and after the signing of the Kyoto Protocol (1997). Our observations indicate that climate change issues and greentech development have not been prioritized to the same extent by firms of western countries as opposed to, for example, Japanese firms in the beginning of the 2000s. However, we witness a growing commitment in most of the western countries. US large firms were more prone to gain skills in renewable energy technologies than most of their European counterparts, which continue to heavily invest in traditional energies such as Nuclear energy and Combustion
The internationalization of corporate invention: national and sectoral contributions
ISBN : 978-84-695-7408-9 Disponible en ligne : http://www.euspri-madrid2013.org/pdf/1039.pdfInternational audienc
DOCUMENTATION OF RISIS DATASETS - RISIS Patent Database
The RISIS Patent database derives from the EPO PATSTAT. The database is designed for the analysis of technological knowledge creation, using patent as a proxy. It thus focuses on ‘priority patents’
From Human Physical Interaction To Online Motion Adaptation Using Parameterized Dynamical Systems
In this work, we present an adaptive motion planning approach for impedance-controlled robots to modify their tasks based on human physical interactions. We use a class of parameterized time-independent dynamical systems for motion generation where the modulation of such parameters allows for motion flexibility. To adapt to human interactions, we update the parameter of our dynamical system in order to reduce the tracking error (i.e., between the desired trajectory generated by the dynamical system and the real trajectory influenced by the human interaction). We provide analytical analysis and several simulations of our method. Finally, we investigate our approach through real world experiments with 7-DOF KUKA LWR 4+ robot performing tasks such as polishing and pick-and-place
KRED: Knowledge-Aware Document Representation for News Recommendations
News articles usually contain knowledge entities such as celebrities or
organizations. Important entities in articles carry key messages and help to
understand the content in a more direct way. An industrial news recommender
system contains various key applications, such as personalized recommendation,
item-to-item recommendation, news category classification, news popularity
prediction and local news detection. We find that incorporating knowledge
entities for better document understanding benefits these applications
consistently. However, existing document understanding models either represent
news articles without considering knowledge entities (e.g., BERT) or rely on a
specific type of text encoding model (e.g., DKN) so that the generalization
ability and efficiency is compromised. In this paper, we propose KRED, which is
a fast and effective model to enhance arbitrary document representation with a
knowledge graph. KRED first enriches entities' embeddings by attentively
aggregating information from their neighborhood in the knowledge graph. Then a
context embedding layer is applied to annotate the dynamic context of different
entities such as frequency, category and position. Finally, an information
distillation layer aggregates the entity embeddings under the guidance of the
original document representation and transforms the document vector into a new
one. We advocate to optimize the model with a multi-task framework, so that
different news recommendation applications can be united and useful information
can be shared across different tasks. Experiments on a real-world Microsoft
News dataset demonstrate that KRED greatly benefits a variety of news
recommendation applications.Comment: RecSys'2
Adaptive Low-level Storage of Very Large Knowledge Graphs
The increasing availability and usage of Knowledge Graphs (KGs) on the Web
calls for scalable and general-purpose solutions to store this type of data
structures. We propose Trident, a novel storage architecture for very large KGs
on centralized systems. Trident uses several interlinked data structures to
provide fast access to nodes and edges, with the physical storage changing
depending on the topology of the graph to reduce the memory footprint. In
contrast to single architectures designed for single tasks, our approach offers
an interface with few low-level and general-purpose primitives that can be used
to implement tasks like SPARQL query answering, reasoning, or graph analytics.
Our experiments show that Trident can handle graphs with 10^11 edges using
inexpensive hardware, delivering competitive performance on multiple workloads.Comment: Accepted WWW 202
Taking One Step Back in Familial Hypercholesterolemia:STAP1 Does Not Alter Plasma LDL (Low-Density Lipoprotein) Cholesterol in Mice and Humans
International audienceSTAP1, encoding for STAP1 (signal transducing adaptor family member 1), has been reported as a candidate gene associated with familial hypercholesterolemia. Unlike established familial hypercholesterolemia genes, expression of STAP1 is absent in liver but mainly observed in immune cells. In this study, we set out to validate STAP1 as a familial hypercholesterolemia gene. Approach and Results: A whole-body Stap1 knockout mouse model (Stap1 -/ - ) was generated and characterized, without showing changes in plasma lipid levels compared with controls. In follow-up studies, bone marrow from Stap1 -/ - mice was transplanted to Ldlr -/ - mice, which did not show significant changes in plasma lipid levels or atherosclerotic lesions. To functionally assess whether STAP1 expression in B cells can affect hepatic function, HepG2 cells were cocultured with peripheral blood mononuclear cells isolated from heterozygotes carriers of STAP1 variants and controls. The peripheral blood mononuclear cells from STAP1 variant carriers and controls showed similar LDLR mRNA and protein levels. Also, LDL (low-density lipoprotein) uptake by HepG2 cells did not differ upon coculturing with peripheral blood mononuclear cells isolated from either STAP1 variant carriers or controls. In addition, plasma lipid profiles of 39 carriers and 71 family controls showed no differences in plasma LDL cholesterol, HDL (high-density lipoprotein) cholesterol, triglycerides, and lipoprotein(a) levels. Similarly, B-cell populations did not differ in a group of 10 STAP1 variant carriers and 10 age- and sex-matched controls. Furthermore, recent data from UK Biobank do not show association between STAP1 rare gene variants and LDL cholesterol
Natural immunity to malaria preferentially targets the endothelial protein C receptor-binding regions of PfEMP1s
Antibody responses to variant surface antigens (VSAs) produced by the malaria parasite Plasmodium falciparum may contribute to age-related natural immunity to severe malaria. One VSA family, P. falciparum erythrocyte membrane protein-1 (PfEMP1), includes a subset of proteins that binds endothelial protein C receptor (EPCR) in human hosts and potentially disrupts the regulation of inflammatory responses, which may lead to the development of severe malaria. We probed peptide microarrays containing segments spanning five PfEMP1 EPCR-binding domain variants with sera from 10 Malian adults and 10 children to determine the differences between adult and pediatric immune responses. We defined serorecognized peptides and amino acid residues as those that elicited a significantly higher antibody response than malaria-naïve controls. We aimed to identify regions consistently serorecognized among adults but not among children across PfEMP1 variants, potentially indicating regions that drive the development of immunity to severe malaria. Adult sera consistently demonstrated broader and more intense serologic responses to constitutive PfEMP1 peptides than pediatric sera, including peptides in EPCR-binding domains. Both adults and children serorecognized a significantly higher proportion of EPCR-binding peptides than peptides that do not directly participate in receptor binding, indicating a preferential development of serologic responses at functional residues. Over the course of a single malaria transmission season, pediatric serological responses increased between the start and the peak of the season, but waned as the transmission season ended. IMPORTANCE Severe malaria and death related to malaria disproportionately affect sub-Saharan children under 5 years of age, commonly manifesting as cerebral malaria and/or severe malarial anemia. In contrast, adults in malaria-endemic regions tend to experience asymptomatic or mild disease. Our findings indicate that natural immunity to malaria targets specific regions within the EPCR-binding domain, particularly peptides containing EPCR-binding residues. Epitopes containing these residues may be promising targets for vaccines or therapeutics directed against severe malaria. Our approach provides insight into the development of natural immunity to a binding target linked to severe malaria by characterizing an "adult-like" response as recognizing a proportion of epitopes within the PfEMP1 protein, particularly regions that mediate EPCR binding. This "adult-like" response likely requires multiple years of malaria exposure, as increases in pediatric serologic response over a single malaria transmission season do not appear significant. </p
Electrocardiographic findings in patients with arrhythmogenic cardiomyopathy and right bundle branch block ventricular tachycardia
AIMS: Little is known about patients with right bundle branch block (RBBB)-ventricular tachycardia (VT) and arrhythmogenic cardiomyopathy (ACM). Our aims were: (i) to describe electrocardiogram (ECG) characteristics of sinus rhythm (SR) and VT; (ii) to correlate SR with RBBB-VT ECGs; and (iii) to compare VT ECGs with electro-anatomic mapping (EAM) data.
METHODS AND RESULTS: From the European Survey on ACM, 70 patients with spontaneous RBBB-VT were included. Putative left ventricular (LV) sites of origin (SOOs) were estimated with a VT-axis-derived methodology and confirmed by EAM data when available.  Overall, 49 (70%) patients met definite Task Force Criteria. Low QRS voltage predominated in lateral leads (n = 37, 55%), but QRS fragmentation was more frequent in inferior leads (n = 15, 23%). T-wave inversion (TWI) was equally frequent in inferior (n = 28, 42%) and lateral (n = 27, 40%) leads. TWI in inferior leads was associated with reduced LV ejection fraction (LVEF; 46 ± 10 vs. 53 ± 8, P = 0.02). Regarding SOOs, the inferior wall harboured 31 (46%) SOOs, followed by the lateral wall (n = 17, 25%), the anterior wall (n = 15, 22%), and the septum (n = 4, 6%). EAM data were available for 16 patients and showed good concordance with the putative SOOs. In all patients with superior-axis RBBB-VT who underwent endo-epicardial VT activation mapping, VT originated from the LV.
CONCLUSIONS: In patients with ACM and RBBB-VT, RBBB-VTs originated mainly from the inferior and lateral LV walls. SR depolarization and repolarization abnormalities were frequent and associated with underlying variants
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