Shooting distance estimation based on gunshot residues analyzed by XRD and multivariate analysis

The most used and validated methods for estimating the shooting distance using the gunshot residues (GSR) inforensic labs are based on chemographic colour tests. In these techniques, the cloth-trapped residues are trans-ferred to a surface to be revealed using chemical reagents. However, because they imply a visual inspection, theirinterpretation may vary, thus adding possible errors to the forensic results. Therefore, it is important tofind anobjective analysis technique for deciding during the results interpretation. In this study, X-Ray diffraction (XRD)was used to measure the GSR on cotton-polyester fabrics. The resulting diffractograms were aligned using acorrelation optimized warping (COW) function, and then analysed using partial least squares to latent structures(PLS), and orthogonal PLS (OPLS). Both methods gave good prediction models in the 5&-300 cm distance range,with determination coefficients of 0.99. Using the gun utilized during the shooting rendered good predictionmodels with quite small prediction errors (about 3 and 7%). Combining the two guns for the calculations, resultedin a prediction model with a larger prediction error (about 14%) but still good for predicting the shooting dis-tance. This would indicate that it is possible to use a similar gun to perform a shooting distance prediction withouthaving the actual gun used during the investigated shooting

Systematic review and proposal on the terminology used in the structure of Physical Education classes

El conocimiento de las distintas partes que forman las sesiones de Educación Física, así como su definición, aporta información relevante para facilitar el trabajo y el entendimiento del docente a la hora de organizar las sesiones de manera eficiente. El objetivo de la presente investigación es conocer cuáles son las diferentes partes que estructuran la sesión de Educación Física y sus características. Por otro lado, se pretende unificar estos criterios con el fin de establecer una propuesta terminológica, eficaz y funcional. Siguiendo la estructura del protocolo PRISMA, se realizó una revisión sistemática de las bases de datos de WEB OF SCIENCE y ERIC. Además, se utilizaron otras fuentes de información, Dialnet, Cafyd, Retos, Google Schoolar y los repositorios de Alicante, Elche, Valencia, Madrid y Barcelona. Se obtuvieron 16 publicaciones de 10 autores, donde se dividían las sesiones en distintas partes y se definían cada una de ellas. Tras la revisión y análisis de los datos obtenidos, se considera que todos los autores que aparecen en esta revisión aportan distintas clasificaciones y definiciones de las partes de la sesión de Educación Física, con el fin de optimizar el tiempo en las sesiones de Educación Física gracias al uso de esa terminología.The knowledge of the different parts that make up the Physical Education lessons, as well as their definition, provides relevant information to facilitate the teacher’s work and understanding when organizing the sessions efficiently. The objective of the present investigation is to know what the different parts that structure the Physical Education lesson are and its characteristics. On the other hand, it is intended to unify these criteria in order to establish a terminological, effective and functional proposal. Following the structure of the PRISMA protocol, a systematic review of the WEB OF SCIENCE and ERIC databases was carried out. In addition to this, other sources of information were used, Dialnet, Cafyd, Retos, Google Schoolar and the repositories of Alicante, Elche, Valencia, Madrid and Barcelona. 16 publications were obtained from 10 authors, where the lessons were divided into different parts and each one was defined. After reviewing and analyzing the data obtained, it is considered that all the authors that appear in this review provide different classifications and definitions of the parts of the Physical Education lesson, in order to optimize time in Physical Education sessions thanks to the use of that terminology

Influence of short implants geometry on primary stability

A correct design is needed in short implants to improve primary stability (PS) in low quality bone. This study aimed to compare PS of double thread and single thread short implants. Thirty implants with single thread design (PHI/SHORT-I) and 30 implants with double thread design (PHIA/SHORT-I) (Radhex®, Inmet-Garnick S.A., Guadalajara, Spain) were placed in 30 randomly selected bovine ribs. PS was assessed in implant stability quotients (ISQ) and periotest values (PV) with Osstell? and Periotest® devices, respectively. Computed tomographies of the ribs were taken and bone quality was evaluated in Hounsfield Units (HU) using Ez3D Plus software (Vatech Co., Korea). Only implants placed in low quality bone according to Misch and Kircos classification were selected (D3 bone: 350-850 HU; and D4 bone: 150-350 HU). Ten implants were not included in the study for being placed in D1 and D2 bone. Finally, 50 implants were selected: 17 and 9 PHI/SHORT-I in D3 and D4 bone respectively, and 15 and 9 PHIA/SHORT-I in D3 and D4 bone respectively. The one-way ANOVA showed statistically significant differences in ISQ (61.35 ± 4.77 in PHI/SHORT-I and 66.43 ± 4.49 in PHIA/SHORT-I, P<0.005) and PV (-2.76 ± 0.8 and -4.11 ± 1.24 respectively, P<0.005) between two implant designs in D3 bone, and statistically significant differences in ISQ (53.44 ± 3.34 in PHI/SHORT-I and 60.56 ± 1.53 in PHIA/SHORT-I, P<0.0001) and PV (1.13 ± 0.95 and -2.5 ± 0.61 respectively, P<0.0001) between two groups in D4 bone. Double thread design short implants resulted to have higher PS in comparison with single thread design short implants in D3 and D4 bone

ECO D2.5 Learning analytics requirements and metrics report

In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided.Part of the work carried out has been funded with support from the European Commission, under the ICT Policy Support Programme, as part of the Competitiveness and Innovation Framework Programme (CIP) in the ECO project under grant agreement n° 21127

Elearning, Communication and Open-data: Massive Mobile, Ubiquitous and Open Learning

ABSTRACT: In MOOCs, learning analytics have to be addressed to the various types of learners that participate. This deliverable describes indicators that enable both teachers and learner to monitor the progress and performance as well as identify whether there are learners at risk of dropping out. How these indicators should be computed and displayed to end users by means of dashboards is also explained. Furthermore a proposal based on xAPI statements for storing relevant data and events is provided

The Spanish Infrared Camera onboard the EUSO-BALLOON (CNES) flight on August 24, 2014

The EUSO-Balloon (CNES) campaign was held during Summer 2014 with a launch on August 24. In the gondola, next to the Photo Detector Module (PDM), a completely isolated Infrared camera was allocated. Also, a helicopter which shooted flashers flew below the balloon. We have retrieved the Cloud Top Height (CTH) with the IR camera, and also the optical depth of the nonclear atmosphere have been inferred with two approaches: The first one is with the comparison of the brightness temperature of the cloud and the real temperature obtained after the pertinent corrections. The second one is by measuring the detected signal from the helicopter flashers by the IR Camera, considering the energy of the flashers and the location of the helicopter

Integrative Analysis Reveals a Molecular Stratification of Systemic Autoimmune Diseases

Objective Clinical heterogeneity, a hallmark of systemic autoimmune diseases, impedes early diagnosis and effective treatment, issues that may be addressed if patients could be classified into groups defined by molecular pattern. This study was undertaken to identify molecular clusters for reclassifying systemic autoimmune diseases independently of clinical diagnosis. Methods Unsupervised clustering of integrated whole blood transcriptome and methylome cross-sectional data on 955 patients with 7 systemic autoimmune diseases and 267 healthy controls was undertaken. In addition, an inception cohort was prospectively followed up for 6 or 14 months to validate the results and analyze whether or not cluster assignment changed over time. Results Four clusters were identified and validated. Three were pathologic, representing “inflammatory,” “lymphoid,” and “interferon” patterns. Each included all diagnoses and was defined by genetic, clinical, serologic, and cellular features. A fourth cluster with no specific molecular pattern was associated with low disease activity and included healthy controls. A longitudinal and independent inception cohort showed a relapse–remission pattern, where patients remained in their pathologic cluster, moving only to the healthy one, thus showing that the molecular clusters remained stable over time and that single pathogenic molecular signatures characterized each individual patient. Conclusion Patients with systemic autoimmune diseases can be jointly stratified into 3 stable disease clusters with specific molecular patterns differentiating different molecular disease mechanisms. These results have important implications for future clinical trials and the study of nonresponse to therapy, marking a paradigm shift in our view of systemic autoimmune diseases

Association Between Preexisting Versus Newly Identified Atrial Fibrillation and Outcomes of Patients With Acute Pulmonary Embolism

Background Atrial fibrillation (AF) may exist before or occur early in the course of pulmonary embolism (PE). We determined the PE outcomes based on the presence and timing of AF. Methods and Results Using the data from a multicenter PE registry, we identified 3 groups: (1) those with preexisting AF, (2) patients with new AF within 2 days from acute PE (incident AF), and (3) patients without AF. We assessed the 90-day and 1-year risk of mortality and stroke in patients with AF, compared with those without AF (reference group). Among 16 497 patients with PE, 792 had preexisting AF. These patients had increased odds of 90-day all-cause (odds ratio [OR], 2.81; 95% CI, 2.33-3.38) and PE-related mortality (OR, 2.38; 95% CI, 1.37-4.14) and increased 1-year hazard for ischemic stroke (hazard ratio, 5.48; 95% CI, 3.10-9.69) compared with those without AF. After multivariable adjustment, preexisting AF was associated with significantly increased odds of all-cause mortality (OR, 1.91; 95% CI, 1.57-2.32) but not PE-related mortality (OR, 1.50; 95% CI, 0.85-2.66). Among 16 497 patients with PE, 445 developed new incident AF within 2 days of acute PE. Incident AF was associated with increased odds of 90-day all-cause (OR, 2.28; 95% CI, 1.75-2.97) and PE-related (OR, 3.64; 95% CI, 2.01-6.59) mortality but not stroke. Findings were similar in multivariable analyses. Conclusions In patients with acute symptomatic PE, both preexisting AF and incident AF predict adverse clinical outcomes. The type of adverse outcomes may differ depending on the timing of AF onset.info:eu-repo/semantics/publishedVersio

O31 Integrative analysis reveals a molecular stratification of systemic autoimmune diseases

n/