nils-herrmann/clean_scirepeval huggingface dataset:
La educacion en linea: una metodologia flexible para formacion de residentes de Psiquiatria
Year: 2013

Resumen Introduccion La educacion a distancia es una herramienta eficaz para la ensenanza medica, soluciona los problemas de acceso a la informacion y homogeneiza la calidad de la educacion, fomenta el autoaprendizaje y facilita al estudiante seguir desarrollando competencias y habi lidades para su vida profesional. Objetivo Mostrar la experiencia sobre el desarrollo y la elaboracion de un curso virtual para medicos residentes en Psiquiatria en Mexico. Metodo Se establecio un convenio entre el instituto Nacional de Salud Publica (iNSP) y los Servicios de Atencion Psiquiatrica (SAP) que permitio realizar un curso virtual de Sistemas de Salud, parte de la curricula de la especialidad en Psiquiatria. El iNSP capacito a los profe sores en diseno instruccional y uso de la plataforma Moodle Mediante esta, se midieron las siguientes variables: numero de visitas al material bibliografico, tiempo en la realizacion de cuestionarios, en la evaluacion diagnostica y en la final, asi como la calificacion de los mismos; tiempo de permanencia total en plataforma, numero de visitas a todos los recursos didacticos y registro de participaciones en dos foros.
Female pediatric and adolescent genitalia trauma: a retrospective analysis of the National Trauma Data Bank
Venue: Pediatric Surgery International
Year: 2020

Pediatric genitalia injury represents 0.6% of all pediatric trauma. It is crucial for providers to understand whether pediatric patients are at risk for violent mechanisms, such as rape, assault, or other abuse. Therefore, we sought to perform a large database analysis of pediatric and adolescent female genitalia trauma, comparing mechanisms of injury (i.e. sexual abuse) and need for operative intervention between adolescent and pediatric cohorts. The National Trauma Data Bank was queried (years 2007 2015) for female patients 16 years old with external genitalia (vaginal or vulvar) trauma. Two groups were compared: pediatrics 12 years old) and adolescents (12 16 years old) Out of 303,992 female patients, 3206 (1.1% were identified to have genitalia trauma with the majority being pediatric patients (92.1% and with injury to the vagina (62.6% Pediatric patients with vaginal injury were less likely to be victims of rape (4.1% vs. 17.3% p 0.001) and assault (2.1% vs. 7.2% p 0.001) but more likely to be victims of other abuse (9.5% vs. 3.4% p 0.003) More of the adolescent patients with vaginal trauma required repair (58.7% vs. 43.2% p 0.001) Pediatric patients with injury to the vulva were less likely to be victims of rape (0.7% vs. 2.8% p 0.01) and motor vehicle accidents (4.2% vs. 11.0% p 0.001) Genitalia trauma occurs in 1.1% of pediatric and adolescent trauma cases with the vagina being more commonly injured compared to the vulva. Adolescent patients with vaginal injuries were more likely to be victims of rape and assault and required repair more often, while those with vulvar injuries were more likely due to motor vehicle accidents. Health care providers must be aware of these at risk populations and the differences between them to identify female victims of violence and provide resources to assist with recovery.
Overspeed reminding device for automobile
Year: 2010

The utility model discloses an overspeed reminding device for an automobile. The overspeed reminding device comprises an automobile speed detecting unit, a processing unit and a vibrating unit; the automobile speed detecting unit carries out the real time detecting of the driving speed of the automobile; an output of the automobile speed detecting unit is connected with the processing unit; an input of the processing unit is connected with the automobile speed detecting unit; the processing unit judges whether the automobile overspeeds; the vibrating unit is arranged at a place in contact with a body part of a driver; and a control signal input of the vibrating unit is connected with a control signal output end of the processing unit. By utilizing the vibration to remind the vehicle overspeed, the overspeed reminding device can rapidly and safely feed the overspeed information back to the driver, so that the driver adopts corresponding slowing down measures to guarantee the safe driving.
La Ludica una propuesta metodologica para el area de matematicas (suma, grado 1deg)
Year: 2019

Este trabajo de investigacion en el contexto de la especializacion en pedagogia de la ludica para el autoaprendizaje; se constituye en un referente conceptual fundamental para orientar y dar apoyo profesional a los maestros y maestras que con dignidad y decoro dirigen y coordinan las actividades curriculares de los estudiantes del grado Primero de educacion basica, ciclo primaria. Es fundamental que los docentes partan del conocimiento profundo de la realidad en la cual se encuentran inmersos los ninos. Se debe partir de un diagnostico real y veridico, para ello debemos conocer su ambiente familiar, social, cultural, los cuales se reflejan en actitudes y aptitudes de ninos y ninas que llegan al maravilloso mundo de la escuela. El maestro y la maestra deben conocer las fortalezas, las oportunidades, los riesgos, las debilidades y amenazas con las cuales los estudiantes llegan al aula para el caso especifico de este trabajo de investigacion se plantea el siguiente problema: ?Como la ludica y la pedagogia critica, acompanan el proceso de aprendizaje de la suma en ninos y ninas del grado Primero? Este problema es acompanado por un objetivo general, el cual demuestra la importancia del trabajo de investigacion y como nucleo central plantea que es necesario acudir a los fundamentos teoricos de la ludica, que orienta desde su epistemologia propia, hasta su didactica para apoyar a la pedagogia de aprendizaje autonomo y significativo en los ninos y ninas del grado primero de educacion basica, ciclo primaria. Ademas la investigacion es relevante por cuanto permite al docente ser acompanado por la estructura conceptual de la pedagogia critica, que le permite al docente tener una nueva concepcion de pedagogia, porque puede pasar de la pedagogia tradicional a procesos pedagogicos que le permitan indagar hechos, innovar, es decir asumir nuevos retos y ser un maestro y maestra mediador entre el conocimiento, el estudiante y la realidad. Es deber del docente investigador: identificar las dificultades de los ninos y ninas en el aprendizaje de la suma; intervenir con la ludica y la pedagogia, las dificultades. Ademas construir elementos integradores entre la ludica y la pedagogia critica para utilizarla en el aprendizaje de la suma como parte esencial de las cuatro operaciones sobre la cuales los estudiantes adquieren el dominio preciso para llevar a la practica los ejercicios relacionados con la suma y aplicarlos a ejercicios reales de cotidianidad, tanto escolar, familiar y comunitario, para prepararse y continuar en otros grados con solidez teorica y firmeza en la practica.
Clustering and Classification Based Anomaly Detection
Venue: FSKD
Year: 2006

This paper presents an anomaly detection approach based on clustering and classification for intrusion detection (ID) We use connections obtained from raw packet data of the audit trail as basic elements, then map the network connection records into 8 feature spaces typically of high dimension according to their protocols and services. The approach includes two steps, training stage and testing stage. We perform clustering to group training data points into clusters, from which we select some clusters as normal and known attack profile according to certain criterion. For those training data excluded from the profile, we use them to build a specific classifier. During the testing stage, we utilize influence based classification algorithm to classify network behaviors. In the algorithm, an influence function quantifies the influence of an object. The experiments on the KDD'99 Intrusion Detection Data Set demonstrate the detection performance and the effectiveness of our ID approach.
High Dimensional Frustum PointNet for 3D Object Detection from Camera, LiDAR, and Radar
Venue: 2020 IEEE Intelligent Vehicles Symposium (IV)
Year: 2020

Fusing the raw data from different automotive sensors for real world environment perception is still challenging due to their different representations and data formats. In this work, we propose a novel method termed High Dimensional Frustum PointNet for 3D object detection in the context of autonomous driving. Motivated by the goals data diversity and lossless processing of the data, our deep learning approach directly and jointly uses the raw data from the camera, LiDAR, and radar. In more detail, given 2D region proposals and classification from camera images, a high dimensional convolution operator captures local features from a point cloud enhanced with color and temporal information. Radars are used as adaptive plug in sensors to refine object detection performance. As shown by an extensive evaluation on the nuScenes 3D detection benchmark, our network outperforms most of the previous methods.
Caso aplicado de analisis de mercado para el negocio de reencauche en Colombia, como alternativa de solucion al desecho generado por las llantas de camion
Year: 2016

El trabajo que se presenta a continuacion explica la oportunidad de negocio tan favorable que existe en el mercado de llantas en Colombia, especificamente en el mercado de llantas reencauchadas. El impacto economico ambiental que apoyar este mercado puede representar en terminos de beneficios para la sociedad es inimaginable hasta ahora, por eso mediante este proyecto se busca clarificar todo lo que concierne al reencauche de llantas, desde su proceso inicial pasando por la oportunidad de comercializacion hasta los impactos ambientales positivos que puede representar.
Label free physical and electrochemical imaging of latent fingerprints by water and SECM
Year: 2020

A label free method that can doubly image both the physical patterns and the electrochemical information of latent fingerprints (LFPs) on nitrocellulose (NC) membrane has been achieved here by water and scanning electrochemical microscopy (SECM) In this approach, the NC membrane with LFP (LFP/NC) sample was first placed in water, where the different absorption of water onto relatively hydrophobic ridge residues of LFP versus NC membrane background resulted in a high resolution physical ridge pattern of the fingerprint to naked eyes within just 1 3 s and could further be photographed by a digital camera. Thereafter, the LFP/NC sample was electrochemically imaged by recording the current variations of SECM tip scanning over the label free fingerprint in the surface interrogation (SI) mode. The methyl viologen (MV2+ was chosen as the redox mediator to react selectively with the electroactive species in the fingerprint ridge residues rather than furrow regions, which could cause the sharp contrast of the SECM tip current for imaging. Both the collected physical and electrochemical images of LFPs can provide high resolution up to level 2 and level 3 features required for personal identification. In addition, for the first time commercial NC membrane instead of adhesive forensic tape was discovered here for lifting the LFPs from various surfaces, which can then be imaged by this electrochemical approach. Taken together, this method demonstrates a powerful strategy for directly imaging the electrochemical information in LFPs without damaging the fingerprint physical ridge pattern on various substrates, so it has great potentiality in individual identity related applications.
Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders
Venue: The Lancet Neurology
Year: 2019

Spinal cord involvement is an important cause of disability in patients with multiple sclerosis or neuromyelitis optica spectrum disorders (NMOSDs) Multiple sclerosis and NMOSDs can be distinguished from other disorders that cause myelopathy by results from laboratory and radiological investigations. However, limitations in the sensitivity and specificity of spinal cord imaging and poor correlation with disability megasures have impeded the understanding of the relationship between spinal cord involvement and clinical manifestations. Nevertheless, studies of the pathological features of multiple sclerosis and NMOSDs have shown that quantitatively different mechanisms lead to differences in clinical course and pattern of accrual of permanent disability in the two disorders. Better understanding of these mechanisms is necessary to develop more informative clinical measures, electrophysiological methods, fluid biomarkers, and imaging techniques to detect and monitor spinal cord involvement in the diagnosis and management of patients with multiple sclerosis or NMOSDs, and as outcome measures in clinical trials.
Model Based Imitation Learning with Accelerated Convergence
Venue: ArXiv
Year: 2018

Sample efficiency is critical in solving real world reinforcement learning problems, where agent environment interactions can be costly. Imitation learning from expert advice has proved to be an effective strategy for reducing the number of interactions required to train a policy. Online imitation learning, a specific type of imitation learning that interleaves policy evaluation and policy optimization, is a particularly effective framework for training policies with provable performance guarantees. In this work, we seek to further accelerate the convergence rate of online imitation learning, making it more sample efficient. We propose two model based algorithms inspired by Follow the Leader (FTL) with prediction: MOBIL VI based on solving variational inequalities and MOBIL PROX based on stochastic first order updates. When a dynamics model is learned online, these algorithms can provably accelerate the best known convergence rate up to an order. Our algorithms can be viewed as a generalization of stochastic MIRROR PROX by Juditsky et al. (2011) and admit a simple constructive FTL style analysis of performance. The algorithms are also empirically validated in simulation.
Effects on leisure activities and social participation of a case management intervention for frail older people living at home: a randomised controlled trial
Venue: Health social care in the community
Year: 2017

Frailty causes disability and restrictions on older people's ability to engage in leisure activities and for social participation. The objective of this study was to evaluate the effects of a 1 year case management intervention for frail older people living at home in Sweden in terms of social participation and leisure activities. The study was a randomised controlled trial with repeated follow ups. The sample (n 153) was consecutively and randomly assigned to intervention (n 80) or control groups (n 73) The intervention group received monthly home visits over the course of a year by nurses and physiotherapists working as case managers, using a multifactorial preventive approach. Data collections on social participation, leisure activities and rating of important leisure activities were performed at baseline, 3, 6, 9 and 12 months, with recruitment between October 2006 and April 2011. The results did not show any differences in favour of the intervention on social participation. However, the intervention group performed leisure activities in general, and important physical leisure activities, to a greater extent than the control group at the 3 month follow up (median 13 vs. 11, P 0.034 and median 3 vs. 3, P 0.031 respectively) A statistically significantly greater proportion of participants from the intervention group had an increased or unchanged number of important social leisure activities that they performed for the periods from baseline to 3 months (93.2% vs. 75.4% OR 4.48, 95% CI: 1.37 14.58) Even though statistically significant findings in favour of the intervention were found, more research on activity focused case management interventions is needed to achieve clear effects on social participation and leisure activities.
Demographic Change, Agriculture, and Rural Poverty
Year: 2019

Population growth and urbanization are associated with economic development. Structural transformation entails workers leaving less productive agriculture and moving to more productive industries, often in urban centers. Population growth slows with development, leading to greater dependence on capital and technology rather than on labor. This was Asia's successful pathway. Sub Saharan Africa (SSA) is also transforming, but far less than other regions are and with its own distinctive features. Though Africa is urbanizing, rapid population growth means that rural populations are still expanding. While African workers also are leaving agriculture, they do so at a slower pace than workers in Asia and are finding work in less productive services rather than in manufacturing. Such "urbanization without industrialization" raises concerns about Africa's ability to create enough jobs for its urban workforce and underscores the need for continued focus on rural Africa. This chapter reviews the linkages between urbanization, agriculture and rural poverty in SSA, where most of the world's poor will soon reside. It suggests that much of the economic growth and structural change that Africa enjoyed over the past two decades, attributable to a shift out of agriculture, was in fact an expansion of downstream components of the agriculture food system. Like agriculture, many downstream activities have strong linkages to poverty reduction. Governments concerned about jobs and poverty will need to raise productivity, not only in agriculture, but also throughout the entire food system. Since many downstream processing and trading activities are in towns and cities, promoting future poverty reduction will require greater alignment between agricultural and urban policies. Demographic change and rural urban linkages will continue to be powerful drivers of global poverty reduction, but ensuring inclusive transformation will require broader development perspectives and policy coordination.
Functional data analysis: An application to COVID 19 data in the United States
Year: 2020

The COVID 19 pandemic so far has caused huge negative impacts on different areas all over the world, and the United States (US) is one of the most affected countries. In this paper, we use methods from the functional data analysis to look into the COVID 19 data in the US. We explore the modes of variation of the data through a functional principal component analysis (FPCA) and study the canonical correlation between confirmed and death cases. In addition, we run a cluster analysis at the state level so as to investigate the relation between geographical locations and the clustering structure. Lastly, we consider a functional time series model fitted to the cumulative confirmed cases in the US, and make forecasts based on the dynamic FPCA. Both point and interval forecasts are provided, and the methods for assessing the accuracy of the forecasts are also included.
More than just fun and games: ACTIVE Workspace volume video game quantifies upper extremity function in individuals with neuromuscular disease (S31.004)
Year: 2018

Investigate the validity and clinical meaningfulness of measuring upper extremity workspace volume and trunk control with a custom designed video game called ACTIVE.  Accurate assessment and monitoring of upper extremity function is critical, clinically and in research. ACTIVE, a 70 second video game, quantifies reaching workspace volume and trunk control on a continuous scale across a wide range of patient abilities. The Microsoft Kinect tracks the seated participant's movement as he/she reaches over head, forward and laterally to either squish spiders or dig for jewels. ACTIVE quantifies the volume of space that the player reached in cubic meters and how far he/she leaned in centimeters. Scaled scores based on the player's wingspan can be compared to other patients or to accommodate for growth.  Over 300 individuals with a variety of neuromuscular diseases (largest groups are Duchenne muscular dystrophy (DMD) and spinal muscular atrophy (SMA) completed two ACTIVE trials, and a battery of traditional outcome measures appropriate for their age and diagnosis. These included the PROMIS parent report of upper extremity function, North Star Ambulatory Assessment (NSAA) Six Minute Walk Test (6MWT) 100 meter timed test (100m) Performance of Upper Limb (PUL) Hammersmith Functional Motor Scale Expanded (HFMSE) Revised Upper Limb Module (RULM)  ACTIVE differentiated between patients of varying severity in DMD, SMA (both p P P  ACTIVE can accurately quantify arm abilities and track meaningful functional changes in patients with neuromuscular disease. Future research will assess the validity of ACTIVE in other neurologic conditions such as stroke or cerebral palsy.  The Office of Technology Commercialization at Nationwide Children's Hospital Disclosure: Dr. Alfano has nothing to disclose. Dr. Miller has nothing to disclose. Dr. Iammarino has nothing to disclose. Dr. Dugan has nothing to disclose. Dr. Moore Clingenpeel has nothing to disclose. Dr. Kissel has received research support from Novartis, Biomarin, Cytokinetics, CSL Behring, Avexis, Ionis Pharmaceuticals, Quintiles, Axelacare. Dr. Al Zaidy has nothing to disclose. Dr. Flanigan has nothing to disclose. Dr. Mendell has received research support from Investigator in clinical studies funded by AveXis, Inc. Dr. Lowes has nothing to disclose.
The Evolution of Photography and Three Dimensional Imaging in Plastic Surgery
Venue: Plastic and reconstructive surgery
Year: 2017

Throughout history, the technological advancements of conventional clinical photography in plastic surgery have not only refined the methods available to the plastic surgeon, but have invigorated the profession through technology. The technology of the once traditional two dimensional photograph has since been revolutionized and refashioned to incorporate novel applications, which have since become the standard in clinical photography. Contrary to traditional standardized two dimensional photographs, three dimensional photography provides the surgeon with an invaluable volumetric and morphologic analysis by demonstrating true surface dimensions both preoperatively and postoperatively. Clinical photography has served as one of the fundamental objective means by which plastic surgeons review outcomes; however, the newer three dimensional technology has been primarily used to enhance the preoperative consultation with surgical simulations. The authors intend to familiarize readers with the notion that three dimensional photography extends well beyond its marketing application during surgical consultation. For the cosmetic surgeon, as the application of three dimensional photography continues to mature in facial plastic surgery, it will continue to bypass the dated conventional photographic methods plastic surgeons once relied on. This article reviews a paradigm shift and provides a historical review of the fascinating evolution of photography in plastic surgery by highlighting the clinical utility of three dimensional photography as an adjunct to plastic and reconstructive surgery practices. As three dimensional photographic technology continues to evolve, its application in facial plastic surgery will provide an opportunity for a new objective standard in plastic surgery.