TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors

Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out. Although many translation-based approaches have achieved some progress in recent years, the performance was still unsatisfactory. This paper proposes a novel knowledge graph embedding method named TripleRE with two versions. The first version of TripleRE creatively divide the relationship vector into three parts. The second version takes advantage of the concept of residual and achieves better performance. In addition, attempts on using NodePiece to encode entities achieved promising results in reducing the parametric size, and solved the problems of scalability. Experiments show that our approach achieved state-of-the-art performance on the large-scale knowledge graph dataset, and competitive performance on other datasets

Responses of an emergent macrophyte, Zizania latifolia, to water-level changes in lakes with contrasting hydrological management

Twenty-four lakes associated with the Yangtze floodplain and Huaihe basin, China, with different degrees of disconnection from the river systems, exhibited managed hydrologies ranging from minimally fluctuating reservoir-like lakes, through intermittently fluctuating lakes to those with large, quasi-natural fluctuations in level. We hypothesized that annual water-level fluctuations limit growth and survival of the emergent macrophyte Zizania latifolia. We investigated adaptations to submergence and sought to define the tolerances of Z. latifolia to the amplitude and timing of water-level fluctuations in these types of lake, at different stages in its phenology and life cycle. Shoots from rhizome buds emerged in early spring and reached maximum extension with high water levels in summer. Z. latifolia did not occur in lakes with the highest amplitude (> 5 m) of fluctuation. Height growth in lakes with low amplitude (reservoir-like) was smaller than in lakes with greater amplitude (intermittent to quasi-natural fluctuations), giving the appearance of ‘short’ and ‘tall’ phenotypes. Across all lakes, however, maximum height was linearly related to water depth in June and to annual amplitude of water level, indicating a continuous phenotypic response. Peak biomass was weakly affected by these environmental drivers. Field experiments showed that seedlings tolerated water depths of c. twice their height (0.6 m), and submergence rates similar to their maximum extension growth rate (2 cm.d-1). Sprouting of rhizome buds was unaffected by submergence to a depth of 0.4 m, but then declined with depth. This study reveals the effects of large-scale hydrological engineering on an emergent macrophyte of economic and conservation importance and informs the management of its populations under seasonally fluctuating water-level regimes

DeteX: A highly accurate software for detecting SNV and InDel in single and paired NGS data in cancer research

Background: Genetic testing is becoming more and more accepted in the auxiliary diagnosis and treatment of tumors. Due to the different performance of the existing bioinformatics software and the different analysis results, the needs of clinical diagnosis and treatment cannot be met. To this end, we combined Bayesian classification model (BC) and fisher exact test (FET), and develop an efficient software DeteX to detect SNV and InDel mutations. It can detect the somatic mutations in tumor-normal paired samples as well as mutations in a single sample.Methods: Combination of Bayesian classification model (BC) and fisher exact test (FET).Results: We detected SNVs and InDels in 11 TCGA glioma samples, 28 clinically targeted capture samples and 2 NCCL-EQA standard samples with DeteX, VarDict, Mutect, VarScan and GatkSNV. The results show that, among the three groups of samples, DeteX has higher sensitivity and precision whether it detects SNVs or InDels than other callers and the F1 value of DeteX is the highest. Especially in the detection of substitution and complex mutations, only DeteX can accurately detect these two kinds of mutations. In terms of single-sample mutation detection, DeteX is much more sensitive than the HaplotypeCaller program in Gatk. In addition, although DeteX has higher mutation detection capabilities, its running time is only .609 of VarDict, which is .704 and .343 longer than VarScan and MuTect, respectively.Conclusion: In this study, we developed DeteX to detect SNV and InDel mutations in single and paired samples. DeteX has high sensitivity and precision especially in the detection of substitution and complex mutations. In summary, DeteX from NGS data is a good SNV and InDel caller

A desinstitucionalização e as alternativas habitacionais ao dispor de indivíduos com perturbações mentais: Um novo modelo habitacional – A habitação apoiada

Desde o início do processo de desinstitucionalização desinstitucionalização que este se tem vindo a deparar com dificuldades. Passando pelos poucos recursos ao dispor dos serviços de saúde mental, à tendência para trabalhar com os elementos que apresentam maiores probabilidades de sucesso, à não articulação entre os serviços hospitalares e os centros comunitários de saúde mental, até à falta de investimentos em alternativas habitacionais de carácter permanente. Estas têm sido algumas das situações a que os consumidores de serviços de saúde mental se têm sujeitado. Actualmente, assistimos à emergência de um paradigma que assenta na crença de que se deverá prestar apoio a estes consumidores numa casa tipicamente normal, com uma vivência na comunidade, em que o apoio é disponibilizado consoante as necessidades de cada indivíduo sem que exista uma limitação temporal à sua prestação. Torna-se assim necessário criar novos papéis para os técnicos, no sentido de que estes ajudem os consumidores a escolher, a obter, e a manter uma habitação. É pois urgente o desenvolvimento de um conjunto diversificado de alternativas habitacionais que se baseiem nos recursos e capacidades das comunidades locais, no sentido de garantir que o processo de desinstitucionalização se conclua com sucesso. Palavras-chave: desinstitucionalização, habitação apoiada, satisfação dos consumidores, doença mental.ABSTRACT: Since its beginning the deinstitutiondeinstitutionalization process has faced some difficulties, such as the mental health services lack of resources, the trend to work with the individual who presents higher probability of success, the lack of articulation between hospital services and community mental health centers, and the lack of investments on accommodations for long periods of time. These are some of the situations that consumers of mental health services have endured. Nowadays we witness the emerging of a paradigm which lies on the idea that these consumers need to be supported at a ordinary house, living in community, where the support is provided according to each person’s needs, and without a time limit. This paradigm also creates a need for the professionals to find new roles so that they will be able to help the consumers to choose, get, and keep a home. To ensure the success of deinstitutionalization it is vital that the establishment of different alternatives of accommodation be based on communities’ resources and capabilities.info:eu-repo/semantics/publishedVersio

NCOA3 Loss Disrupts Molecular Signature of Chondrocytes and Promotes Posttraumatic Osteoarthritis Progression

Background/Aims: Osteoarthritis (OA) is the most common joint disease. Recently, a novel variant near the nuclear receptor coactivator 3 (NCOA3) has been identified in association with greater risk of developing OA. However, how NCOA3 is regulated in chondrocytes and involved in OA pathogenesis remain elusive. Methods: The expression and DNA methylation of NCOA3 in knee OA cartilage and in vitro dedifferentiated chondrocytes with or without rs6094710 SNP were analyzed by qRT-PCR, immunoblotting, methylation-specific PCR and bisulfite sequencing. NCOA3 was depleted by siRNA or shRNA or inhibited by a chemical inhibitor to assess its role in chondrocyte dedifferentiation or OA pathogenesis in posttraumatic OA animal model established by cruciate ligament transection surgery. Results: We found that compared with normal counterparts, samples with rs6094710 SNP failed to upregulate NCOA3. Further evidence associated this phenotype with DNMT1-mediated hypermethylation in gene promoter region. Moreover, we showed that NCOA3 maintained the molecular signature of chondrocytes dedifferentiating in vitro or exposed to IL-1β, nevertheless, NCOA3 appeared dispensable for preventing OA initiation, since NCOA3 loss did not trigger OA in young mice. Instead, NCOA3 loss promoted posttraumatic OA progression, and in parallel, enhanced NF-κB activation. Finally, the promoted posttraumatic OA progression was significantly retarded when administrated with NF-κB pathway inhibitor, suggesting that NCOA3 lose promotes posttraumatic OA at least partially by enhancing NF-κB activation. Conclusion: Thus, our findings indicate a critical role of NCOA3 in chondrocytes, and imply that manipulating NCOA3 might present a potential therapeutic approach to interfere OA progression

Synthesis and Characterization of Waterborne Fluoropolymers Prepared by the One-Step Semi-Continuous Emulsion Polymerization of Chlorotrifluoroethylene, Vinyl Acetate, Butyl Acrylate, Veova 10 and Acrylic Acid

Waterborne fluoropolymer emulsions were synthesized using the one-step semi-continuous seed emulsion polymerization of chlorotrifluoroethylene (CTFE), vinyl acetate (VAc), n-butyl acrylate (BA), Veova 10, and acrylic acid (AA). The main physical parameters of the polymer emulsions were tested and analyzed. Characteristics of the polymer films such as thermal stability, glass transition temperature, film-forming properties, and IR spectrum were studied. Meanwhile, the weatherability of fluoride coatings formulated by the waterborne fluoropolymer and other coatings were evaluated by the quick ultraviolet (QUV) accelerated weathering test, and the results showed that the fluoropolymer with more than 12% fluoride content possessed outstanding weather resistance. Moreover, scale-up and industrial-scale experiments of waterborne fluoropolymer emulsions were also performed and investigated

Effects of loss of lateral hydrological connectivity on fish functional diversity

Loss of lateral hydrological connectivity (LHC) is a major cause of biodiversity decline in river floodplains, yet little is known about its effects on aquatic functional diversity in these ecosystems. We quantified functional alpha and beta diversity of fish assemblages in Yangtze River floodplain lakes and explored their responses to loss of LHC with generalized linear mixed models. Functional richness was much lower in lakes that were not connected to the Yangtze River (i.e., disconnected lakes), where functional evenness and divergence were higher. LHC was the most important factor shaping fish diversity patterns in this region. Predicted reductions in functional richness and taxonomic richness due to LHC loss were higher for functional richness (0.47-0.82) than taxonomic richness (0.32) for all species assemblages except nonmigratory species. The distribution of functional strategies of migratory and nonmigratory fishes was highly uneven throughout the floodplain. Taxonomic beta diversity was much higher than functional beta diversity. The former was due mainly to spatial turnover (73.6-83.8%), which suggested that dissimilarity of diversity among fish assemblages was largely induced by species replacement. The latter was induced by the nestedness-resultant component of overall beta diversity (70.7-86.0%), which indicated a high degree of function loss without replacement. Both taxonomic and functional beta diversity were higher in disconnected lakes, where they were significantly correlated with fishing activity and water quality, than in river-connected lakes. We showed for the first time the effects of loss of LHC on fish functional diversity in large river floodplains. We found a serious decline of fish functional richness in the Yangtze floodplain, and functional diversity remained highly vulnerable to loss of LHC even though this is a species-rich ecosystem

Contrasting patterns and drivers in taxonomic versus functional diversity, and community assembly of aquatic plants in subtropical lakes

Little is known about the differences in patterns and drivers between species richness (SR) and functional diversity (FD) in aquatic plants at large scales, and the underlying assembly mechanisms are not well studied. We compared SR and FD patterns of aquatic plant assemblages in 29 subtropical lakes, and detected the underlying assembly rules. Environmental drivers of SR and FD were revealed by GLM and GAM models, and the relative importance of assembly rules was determined by a null model approach. SR and FD of aquatic plants presented different patterns and drivers in this region. SR was significantly correlated with geographic, hydrological and water quality variables. We found a lower functional richness but higher functional evenness and divergence in the highland lakes. There was no significant correlation between functional richness and environmental variables. Null model analyses showed that most values of standardized effect size were located between the confidence interval, indicating a dominance of randomness. Deterministic processes such as limiting similarity and habitat filtering were also important in individual lakes. Habitat filtering plays a stronger role shaping the hydrophyte assemblages especially with the increase of elevation, area and AWLF (amplitude of water level fluctuation). Our results demonstrated that FD, in contrast to SR, were more resistant to environmental variations, and hydrology played an important role in shaping both SR and FD patterns in lake ecosystems. Furthermore, we revealed complex assembly rules and emphasized the importance of both stochastic and deterministic mechanisms in structuring aquatic plant assemblages at the regional scale