Low-cost, aerial photographic inventory of tidal wetlands

There are no author-identified significant results in this report

Attending to characters in neural sequence labeling models

Sequence labeling architectures use word embeddings for capturing similarity, but suffer when handling previously unseen or rare words. We investigate character-level extensions to such models and propose a novel architecture for combining alternative word representations. By using an attention mechanism, the model is able to dynamically decide how much information to use from a word- or character-level component. We evaluated different architectures on a range of sequence labeling datasets, and character-level extensions were found to improve performance on every benchmark. In addition, the proposed attention-based architecture delivered the best results even with a smaller number of trainable parameters

High-pressure x-ray diffraction study of bulk and nanocrystalline PbMoO4

We studied the effects of high-pressure on the crystalline structure of bulk and nanocrystalline scheelite-type PbMoO4. We found that in both cases the compressibility of the materials is highly non-isotropic, being the c-axis the most compressible one. We also observed that the volume compressibility of nanocrystals becomes higher that the bulk one at 5 GPa. In addition, at 10.7(8) GPa we observed the onset of an structural phase transition in bulk PbMoO4. The high-pressure phase has a monoclinic structure similar to M-fergusonite. The transition is reversible and not volume change is detected between the low- and high-pressure phases. No additional structural changes or evidence of decomposition are found up to 21.1 GPa. In contrast nanocrystalline PbMoO4 remains in the scheelite structure at least up to 16.1 GPa. Finally, the equation of state for bulk and nanocrystalline PbMoO4 are also determined.Comment: 18 pages, 4 figure

HPV VACCINE IN MALES: BREAKING THROUGH THE BARRIERS

Human papillomavirus (HPV) is the most common sexually transmitted disease (STD) in the United States (Seto, Marra, Raymakers, & Marra, 2012). A literature review was conducted to investigate the barriers to vaccine uptake in the male population. Barriers were categorized into three main categories including lack of education, perceived fears, and inaccessibility. The review of literature revealed that education is critical in breaking through the barriers inhibiting the uptake of the HPV vaccine. Following the literature review a clinical article was submitted to the Journal of Pediatric Nursing for consideration for publication

Evolving the Technical Infrastructure of the Planetary Data System for the 21st Century

The Planetary Data System (PDS) was established in 1989 as a distributed system to assure scientific oversight. Initially the PDS followed guidelines recommended by the National Academies Committee on Data Management and Computation (CODMAC, 1982) and placed emphasis on archiving validated datasets. But overtime user demands, supported by increased computing capabilities and communication methods, have placed increasing demands on the PDS. The PDS must add additional services to better enable scientific analysis within distributed environments and to ensure that those services integrate with existing systems and data. To face these challenges the Planetary Data System (PDS) must modernize its architecture and technical implementation. The PDS 2010 project addresses these challenges. As part of this project, the PDS has three fundamental project goals that include: (1) Providing more efficient client delivery of data by data providers to the PDS (2) Enabling a stable, long-term usable planetary science data archive (3) Enabling services for the data consumer to find, access and use the data they require in contemporary data formats. In order to achieve these goals, the PDS 2010 project is upgrading both the technical infrastructure and the data standards to support increased efficiency in data delivery as well as usability of the PDS. Efforts are underway to interface with missions as early as possible and to streamline the preparation and delivery of data to the PDS. Likewise, the PDS is working to define and plan for data services that will help researchers to perform analysis in cost-constrained environments. This presentation will cover the PDS 2010 project including the goals, data standards and technical implementation plans that are underway within the Planetary Data System. It will discuss the plans for moving from the current system, version PDS 3, to version PDS 4

A neural network multi-task learning approach to biomedical named entity recognition

$\textbf{Background}$ Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related but different information, an interesting question is whether it might be possible to use them together to improve NER performance. To investigate this, we develop supervised, multi-task, convolutional neural network models and apply them to a large number of varied existing biomedical named entity datasets. Additionally, we investigated the effect of dataset size on performance in both single- and multi-task settings. $\textbf{Results}$ We present a single-task model for NER, a Multi-output multi-task model and a Dependent multi-task model. We apply the three models to 15 biomedical datasets containing multiple named entities including Anatomy, Chemical, Disease, Gene/Protein and Species. Each dataset represent a task. The results from the single-task model and the multi-task models are then compared for evidence of benefits from Multi-task Learning. With the Multi-output multi-task model we observed an average F-score improvement of 0.8% when compared to the single-task model from an average baseline of 78.4%. Although there was a significant drop in performance on one dataset, performance improves significantly for five datasets by up to 6.3%. For the Dependent multi-task model we observed an average improvement of 0.4% when compared to the single-task model. There were no significant drops in performance on any dataset, and performance improves significantly for six datasets by up to 1.1%. The dataset size experiments found that as dataset size decreased, the multi-output model’s performance increased compared to the single-task model’s. Using 50, 25 and 10% of the training data resulted in an average drop of approximately 3.4, 8 and 16.7% respectively for the single-task model but approximately 0.2, 3.0 and 9.8% for the multi-task model. $\textbf{Conclusions}$ Our results show that, on average, the multi-task models produced better NER results than the single-task models trained on a single NER dataset. We also found that Multi-task Learning is beneficial for small datasets. Across the various settings the improvements are significant, demonstrating the benefit of Multi-task Learning for this task.This work was supported by Medical Research Council [grant number MR/M013049/1] and the Cambridge Commonwealth, European and International Trust

Anthropometric Characteristics, Body Composition and Somatotype in Elite Junior ITF Tennis Players from South America

Indexación: Scopus; Scielo.El objetivo de este estudio fue determinar las características antropométricas, composición corporal y somatotipo en tenistas varones elite juniors sudamericanos de la Federación Internacional de Tenis. Participaron 25 jugadores de 17,04 ± 1,05 años. La composición corporal se evaluó con el perfil restringido de 25 variables propuesto por Kerr en base al método pentacompartimental, el cual fracciona el cuerpo en 5 componentes (tejidos: muscular, adiposo, óseo, residual, y piel). El somatotipo se identificó con el método de Heath y Carter. Para la evaluación se utilizaron las normas propuestas por La Sociedad Internacional para el Avance de la Cineantropometría (ISAK) y el Grupo Español de Cineantropometría (GREC). El porcentaje de tejido muscular fue de 47,65 ± 2,83 %, tejido adiposo de 23,23 ± 3,56 %, y tejido óseo de 11,79 ± 1,56 % con un índice músculoóseo(IMO) de 4,09 ± 0,50. En cuanto al somatotipo se apreció una clasificación de tipo mesomorfo balanceado con valores de 2,5 ± 0,81 de endomorfia, 4,9 ± 0,66 de mesomorfia, y 2,7 ± 0,96 de ectomorfia. El grupo de tenistas presentó un predominio del componente mesomorfia con un equilibrio entre los componentes endomorfia y ectomorfia con características de composición corporal similares a las encontradas en la literatura. El presente estudio entrega datos referenciales sobre las características antropométricas en tenistas sudamericanos nivel elite categoría junior.The objective of the study was to determine the anthropometric characteristics, body composition and somatotype in male elite junior tennis players from the International Tennis Federation (ITF). Twenty five players of 17.04 ± 1.05 years participated. The body composition was evaluated with the restricted profile of 25 variables proposed by Kerr based on the pent compartmental method, which divided the body into 5 components (tissues: muscle, adipose, bone, residual, and skin). The somatotype was identified with the Heath and Carter method. For the evaluation, the norms proposed by the International Society for the Advancement of Cineanthropometry (ISAK) and the Spanish Group of Cineanthropometry (GREC) were used. The percentage of muscle tissue was 47.65 ± 2.83 %, adipose tissue of 23.23 ± 3.56 %, and bone tissue of 11.79 ± 1.56 % with a muscle-osseous index (IMO) of 4.09 ± 0.50. Regarding somatotype, a balanced mesomorphic classification was observed with values of 2.5 ± 0.81 of endomorphy, 4.9 ± 0.66 of mesomorphy, and 2.7 ± 0.96 of ectomorphy. The group of tennis players presented a predominance of the mesomorphy component with a balance between the components endomorphy and ectomorphy with characteristics of body composition similar to those found in the literature. The present study provides referential data on the anthropometric characteristics in South American tennis players elite junior category.https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-95022018000301095&lng=en&nrm=iso&tlng=e

PDS4: Developing the Next Generation Planetary Data System

The Planetary Data System (PDS) is in the midst of a major upgrade to its system. This upgrade is a critical modernization of the PDS as it prepares to support the future needs of both the mission and scientific community. It entails improvements to the software system and the data standards, capitalizing on newer, data system approaches. The upgrade is important not only for the purpose of capturing results from NASA planetary science missions, but also for improving standards and interoperability among international planetary science data archives. As the demands of the missions and science community increase, PDS is positioning itself to evolve and meet those demands

Clearance of inflammatory cytokines in patients with septic acute kidney injury during renal replacement therapy using the EMiC2 filter (Clic-AKI study)

BACKGROUND: The EMiC2 membrane is a medium cut-off haemofilter (45 kiloDalton). Little is known regarding its efficacy in eliminating medium-sized cytokines in sepsis. This study aimed to explore the effects of continuous veno-venous haemodialysis (CVVHD) using the EMiC2 filter on cytokine clearance. METHODS: This was a prospective observational study conducted in critically ill patients with sepsis and acute kidney injury requiring kidney replacement therapy. We measured concentrations of 12 cytokines [Interleukin (IL) IL-1β, IL-1α, IL-2, IL-4, IL-6, IL-8, IL-10, interferon (IFN)-γ, tumour necrosis factor (TNF)-α, vascular endothelial growth factor, monocyte chemoattractant protein (MCP)-1, epidermal growth factor (EGF)] in plasma at baseline (T0) and pre- and post-dialyzer at 1, 6, 24, and 48 h after CVVHD initiation and in the effluent fluid at corresponding time points. Outcomes were the effluent and adsorptive clearance rates, mass balances, and changes in serial serum concentrations. RESULTS: Twelve patients were included in the final analysis. All cytokines except EGF concentrations declined over 48 h (p < 0.001). The effluent clearance rates were variable and ranged from negligible values for IL-2, IFN-γ, IL-1α, IL-1β, and EGF, to 19.0 ml/min for TNF-α. Negative or minimal adsorption was observed. The effluent and adsorptive clearance rates remained steady over time. The percentage of cytokine removal was low for most cytokines throughout the 48-h period. CONCLUSION: EMiC2-CVVHD achieved modest removal of most cytokines and demonstrated small to no adsorptive capacity despite a decline in plasma cytokine concentrations. This suggests that changes in plasma cytokine concentrations may not be solely influenced by extracorporeal removal. TRIAL REGISTRATION: NCT03231748, registered on 27th July 2017