nils-herrmann/clean_scirepeval huggingface dataset:
Planning from Images with Deep Latent Gaussian Process Dynamics
Venue: L4DC
Year: 2020

Planning is a powerful approach to control problems with known environment dynamics. In unknown environments the agent needs to learn a model of the system dynamics to make planning applicable. This is particularly challenging when the underlying states are only indirectly observable through images. We propose to learn a deep latent Gaussian process dynamics (DLGPD) model that learns low dimensional system dynamics from environment interactions with visual observations. The method infers latent state representations from observations using neural networks and models the system dynamics in the learned latent space with Gaussian processes. All parts of the model can be trained jointly by optimizing a lower bound on the likelihood of transitions in image space. We evaluate the proposed approach on the pendulum swing up task while using the learned dynamics model for planning in latent space in order to solve the control problem. We also demonstrate that our method can quickly adapt a trained agent to changes in the system dynamics from just a few rollouts. We compare our approach to a state of the art purely deep learning based method and demonstrate the advantages of combining Gaussian processes with deep learning for data efficiency and transfer learning.
Spinal m opioid receptor sensitive lower limb muscle afferents determine corticospinal responsiveness and promote central fatigue in upper limb muscle
Venue: The Journal of physiology
Year: 2014

We aimed to elucidate the role of group III/IV locomotor muscle afferents in the development of central fatigue and the responsiveness of the corticospinal tract in relation to an unexercised arm muscle. Intrathecal fentanyl, a m opioid receptor agonist, was employed to attenuate afferent feedback from the leg muscles during intense cycling exercise characterized by either no or severe peripheral locomotor muscle fatigue. In the absence of locomotor muscle fatigue, group III/IV mediated leg afferent feedback facilitates the responsiveness of the motor pathway to upper limb flexor muscles. By contrast, in the presence of leg fatigue, group III/IV locomotor muscle afferents facilitate supraspinal fatigue in a remote muscle not involved in the exercise and disfacilitate the responsiveness of associated corticospinal projections.
Competitive Gains in Business Cooperation Networks in the State of Goias
Year: 2015

This research aims to study the competitive gains of some Business Cooperation Network (BCN) selected, in the State of Goias. This study aims to broaden the understanding of earnings and benefits provided by them. This research is characterized as qualitative and exploratory nature, and the method adopted for its implementation is the study of multiple cases. Three BCNs were analyzed in the State of Goias As a result, between competitive gains identified in the studied BCNs, are: bargaining power, market power, prospecting opportunities, shared activities, complementarity, transactional ease, new products and services.
Scaling Up Subgraph Query Processing with Efficient Subgraph Matching
Venue: 2019 IEEE 35th International Conference on Data Engineering (ICDE)
Year: 2019

A subgraph query finds all data graphs in a graph database each of which contains the given query graph. Existing work takes the indexing filtering verification (IFV) approach to first index all data graphs, then filter out some of them based on the index, and finally test subgraph isomorphism on each of the remaining data graphs. This final test of subgraph isomorphism is a sub problem of subgraph matching, which finds all subgraph isomorphisms from a query graph to a data graph. As such, in this paper, we study whether, and if so, how to utilize efficient subgraph matching to improve subgraph query processing. Specifically, we modify leading subgraph matching algorithms and integrate them with top performing subgraph querying algorithms. Our results show that (1) the slow verification method in existing IFV algorithms can lead us to over estimate the gain of filtering; and (2) our modified subgraph querying algorithms with efficient subgraph matching are competitive in time performance and can scale to hundreds of thousands of data graphs and graphs of thousands of vertices.
Conceptual replication of Seo (2008) "Self efficacy as a mediator in the relationship between self oriented perfectionism and academic procrastination"
Year: 2020

Self oriented perfectionism is the tendency to set high standards for oneself and evaluate one's behaviour accordingly. Based on a study of 792 students in Korea, Seo (2008) reported finding a negative relationship between self oriented perfectionism and academic procrastination i.e. the tendency to procrastinate on academic tasks. Furthermore, Seo found that this relationship was completely mediated by self efficacy. Seo's study has been influential in the literature but has not been independently replicated. In this study we report a conceptual replication utilising 575 students from OECD countries and a cross sectional survey design. A detailed preregistration (including data processing and analysis syntax) was lodged in advance of data collection at https:/osf.io/xfvd8. Both ordinary least squares regression and structural equation modelling were used to test hypotheses. We found no evidence of a bivariate relationship between self oriented perfectionism academic procrastination in either set of analyses, meaning that we were unable to reproduce one of Seo's two key findings. However, we did find evidence of a small and negative indirect effect of self oriented perfectionism on academic procrastination via self efficacy, reproducing part of the mediation model reported by Seo.
Progress in the production and modification of PVDF membranes
Year: 2011

This article provides a comprehensive overview of recent progress on the production and modification of poly(vinylidene fluoride) (PVDF) membranes for liquid liquid or liquid solid separation. The crystalline properties, thermal stability and chemical resistance were firstly considered in this review, followed by the production methods of PVDF membranes via phase inversion including immersion precipitation and thermally induced phase separation. Various hydrophilic modification approaches such as surface modification and blending modification for improving the fouling resistance of PVDF membranes were subsequently reviewed. Finally, in the light of the anticipated role of PVDF as a superior membrane material, future prospects on the production and modification of PVDF membranes were suggested.
India and China: Conflict and Cooperation
Year: 2010

China and India are rising powers, keenly observed by the West and, increasingly, the rest of the world. Yet surprisingly for two states of such growing importance and with a rich and sometimes fractious history, their relationship seems to an outside eye largely reactive and, more broadly, adrift. China and India should be able to manage their parallel rise without generating shocks in their own continent. However, this will require careful management of bilateral irritants and potential regional crises. A more systematic dialogue process, going well beyond high level visits, that acknowledges their differences instead of emphasising imagined similarities could lay the foundations for a better understanding of the domestic compulsions that drive each nation's foreign policy.
Sol gel deposition and characterization of vanadium pentoxide thin films with high TCR
Year: 2018

Vanadium pentoxide thin films have been deposited on quartz substrates via sol gel synthesis and dip coating. The process was developed to establish a reliable and inexpensive method to produce thin films with a high temperature coefficient of resistance (TCR) for sensing applications. Sol gel precursor concentration and post deposition annealing conditions were varied to address their effects on film composition, morphology, structure, resistivity, and TCR response. The resulting thin films were structurally characterized by thin film profilometry, x ray diffraction, scanning electron microscopy, and Raman spectroscopy. Resistivity and TCR measurements were carried out to determine their efficacy as sensor materials. Both low and high concentration alkoxide sol gel precursors led to films of pure a V2O5 composition but with characteristically different structural and electrical properties. Low concentration films showed a modest decrease in resistivity and TCR with increasing annealing temperature, consistent with the formation of increasing grain size and the coalescence of largely planar grains with common crystalline orientation. In contrast, films fabricated from higher alkoxide precursor concentration are characterized by a higher density of grains with a larger dispersion in orientation and better developed grain boundaries, leading to a general increase in resistivity and TCR with annealing temperature. The TCR of the films lied in the range of 3%degC 1 to 4%degC 1, comparing favorably with films produced through conventional techniques such as DC magnetron sputtering, chemical vapor deposition, or pulsed laser deposition. Further, their TCR and resistivity characteristics can be controlled through sol gel precursor concentration and post deposition annealing temperature, indicating that sol gel deposited vanadium pentoxide films are promising candidates for infrared sensor applications.
MATLAB software for GPS cycle slip processing
Venue: GPS Solutions
Year: 2012

A MATLAB software package for GPS cycle slip processing is presented in this paper. It realizes cycle slip detection and repair in the measurement domain for GPS L1 and L2 signals. The software implements several classic approaches oriented to real time processing. With the graphic user interface, the user can configure the raw data, set algorithm related parameters, add synthetic cycle slips, and view the detection results in both text and illustrated forms. In this paper, the theoretical background of the cycle slip processing is introduced first. After that, the advantages and limitations of each implemented approach are identified. Finally, the functionalities of the software are briefly explained.
KELAYAKAN ANIMASI STOP MOTION PEMBUATAN CAKE PEPAYA SUBMATERI PERAN TUMBUHAN DI BIDANG EKONOMI
Year: 2018

Penelitian bertujuan untuk mengetahui kelayakan animasi stop motion pembuatan cake pepaya submateri peran tumbuhan di bidang ekonomi. Penelitian menggunakan metode deskriptif kuantitatif. Pembuatan animasi stop motion dilakukan dengan pengambilan gambar satu persatu pada setiap gerakan dan digabungkan menjadi deretan gambar yang bergerak menggunakan aplikasi Movie Maker dan Corel Video Studio. Validasi media dilakukan oleh enam validator yang terdiri dari tiga ahli materi dan ahli media.Ahli materi terdiri dari satu orang dosen pendidikan biologi dan dua orang guru biologi yang menggunakan kurikulum 2013. Ahli media terdiri dari dua orang dosen ahli media dan guru Teknologi, Informasi dan Komunikasi. Validasi oleh ahli materi mendapatkan RTV TK sebesar 3,64, sedangkan validasi oleh ahli media mendapatkan RTV TK sebesar 3.75. Hasil validasi menyatakan bahwa animasi stop motion layak digunakan sebagai media pembelajaran pada submateri peran tumbuhan di bidang ekonomi.  kelayakan, Animasi Stop Motion, Cake papaya.
Examining the Impact of Contextual Factors in Brand Relationship Initiation and Maintenance: Evidence from Bottom of Pyramid Markets
Year: 2020

This study examines the impact of contextual factors on brand trust, brand loyalty and cross buying from the perspective of the bottom of pyramid rural consumers in India. Two important contextual factors distribution intensity and outshopping orientation were used as the contextual factors. Effects of distribution intensity in the initiation and maintenance of consumer brand relationships are first examined. Further, it explores the moderating role of in versus outshopping orientation in the formation and maintenance of long term relationships between consumers and brands in bottom of pyramid markets. Data collected from 478 consumers in three villages in Gujarat, India, were analysed using structural equation modelling technique to test the hypothesized relationships using IBM AMOS 23 software. Distribution Intensity was found to positively influence brand trust. Brand trust was found to mediate the relationships between distribution intensity and brand loyalty and distribution intensity and cross buying. The importance of distribution intensity in relationship initiation was more pronounced for consumers who shopped from local retailers than those who did not. The study underlines the importance of distribution intensity of brands a relationship based marketing strategy, especially in those products, where the switching costs are low. This study establishes the role of contextual factors in the formation and maintenance of consumer brand relationships in the bottom of pyramid markets.
Handbook of membrane research properties, performance and applications
Year: 2010

Preface Pd Based Membranes Synthesis their Application in Membrane Reactors Recalcitrant Industrial Wastewater Treatment by Membrane Bioreactor (MBR) Applications of Electrospun Nanofiber Membranes for Bioseparations Modulation of Membrane Protein Interactions Applied to Whey Fractionation Porous Glass Membranes: Preparation, Characterization Applications Membrane Cleaning: A Key for Sustainable Production in Dairy Industry The Capability of X Ray Photoelectron Spectroscopy in the Characterization of Membranes: Correlation between Surface Chemical Transport Properties in Polymeric Membranes Applications of Electromembrane Processes to the Production of Nutraceuticals or Functional Foods Transport Modeling in Nanofiltration Modeling, Optimization, Control in Dead End Ultra Filtration Application of Dye Affinity Membrane Chromatography to Protein Purification from Raw Materials: Comparison with Soft Gel Matrices Pervaporation Permeation Taking Advantage of Ionic Liquids Application of Supported Ionic Liquid Membranes to Lactic Acid Recovery Materials Design of Gas Separation Polymer Membranes Track etch PET Membrane with Gradients of Pore Density Pore Size: Theoretical Analysis of Linear Gradient Permeability Membrane in Flow Filed Flow Fractionation Composite Palladium Membranes with Improved Durability toward Hydrogen Embrittlement Recovery of Fe(III) from Acidic Solutions by SLM using Cyphos IL 101 Ionic Liquid as Carrier Index.
OCR4all An Open Source Tool Providing a (Semi )Automatic OCR Workflow for Historical Printings
Venue: ArXiv
Year: 2019

Optical Character Recognition (OCR) on historical printings is a challenging task mainly due to the complexity of the layout and the highly variant typography. Nevertheless, in the last few years great progress has been made in the area of historical OCR, resulting in several powerful open source tools for preprocessing, layout recognition and segmentation, character recognition and post processing. The drawback of these tools often is their limited applicability by non technical users like humanist scholars and in particular the combined use of several tools in a workflow. In this paper we present an open source OCR software called OCR4all, which combines state of the art OCR components and continuous model training into a comprehensive workflow. A comfortable GUI allows error corrections not only in the final output, but already in early stages to minimize error propagations. Further on, extensive configuration capabilities are provided to set the degree of automation of the workflow and to make adaptations to the carefully selected default parameters for specific printings, if necessary. Experiments showed that users with minimal or no experience were able to capture the text of even the earliest printed books with manageable effort and great quality, achieving excellent character error rates (CERs) below 0.5% The fully automated application on 19th century novels showed that OCR4all can considerably outperform the commercial state of the art tool ABBYY Finereader on moderate layouts if suitably pretrained mixed OCR models are available. The architecture of OCR4all allows the easy integration (or substitution) of newly developed tools for its main components by standardized interfaces like PageXML, thus aiming at continual higher automation for historical printings.
Efectividad de la aplicacion de frio vs. calor superficial en la fase temprana de la tendinitis rotuliana en deportistas amateur
Year: 2019

El presente proyecto de investigacion tuvo como interrogante conocer cual es la efectividad de la aplicacion de dos agentes fisicos terapeuticos, el frio local y el calor superficial, en combinacion con un programa de ejercicios excentricos en la tendinopatia rotuliana en fase aguda, en deportistas amateur. Actualmente existen reportes que el 50% de la poblacion activa tiene riesgo de sufrir tendinopatia debido a la sobrecarga de la articulacion de la rodilla por malos habitos de entrenamiento, incorrecto gesto deportivo, alimentacion deficiente, entre otros. A esta lesion se le atribuye mucho dolor e incapacidad funcional, limitando temporalmente el entrenamiento deportivo normal. El enfoque de esta investigacion fue descriptivo analitico correlacional, donde se evaluo y trato con un protocolo disenado por los investigadores, durante dos semanas a 9 deportistas amateur de diferentes activadas deportivas, distribuidos aleatoriamente en tres grupos, uno de ellos grupo control. Todos ellos con sospecha de diagnostico clinico de tendinopatia rotuliana en fase aguda, utilizando solo pruebas clinicas, como London Royal Hospital test, Test de Blazina y el cuestionario VISA SP "Victorian Institute of Sport Assessment patelar" al inicio y al final del proceso. Estableciendo que el calor (27% de recuperacion) es mas efectivo que la aplicacion frio (21% sin embargo el grupo control (ningun agente fisico) obtuvo mejores resultados que los dos grupos anteriores (31% Los profesionales de salud responsables del manejo de la tendinopatia rotuliana, necesitan tener los conocimientos clinicos, la experiencia necesaria y las herramientas adecuadas para un buen diagnostico y tratamiento de esta lesion
Managing uncertainty in fishing and processing of an integrated fishery
Year: 2012

This paper considers uncertainties in fishing trawler scheduling and production planning in a quota based integrated commercial fishery. A commercial fishery faces uncertainty mainly from variation in catch rate, which may be due to weather, and other environmental factors. The firm attempts to manage this uncertainty through planning co ordination of fishing trawler scheduling, catch quota, processing and labour allocation, and inventory control. Schedules must necessarily be determined over some finite planning time horizon, and the trawler schedule itself introduces man made variability, which in turn induces inventory in the processing plant. This induced inventory must be managed, and is complicated by the inability to plan beyond the current planning time horizon. A simple constraint is introduced requiring beginning inventory to equal ending inventory of the planning period. This enables management to calculate a profit maximizing safety stock that counter acts the man made variability due to the trawler scheduling. It is found that the variability of catch rate had virtually no efiects on the profitability. Numerical results for several planning time horizon models are presented, based on data for a major New Zealand fishery.  Integer programming, trawler scheduling, fish processing, safety stock.
Legume cover crops under no tillage favor organomineral association in microaggregates and soil C accumulation
Venue: Soil and Tillage Research
Year: 2019

Both no tillage and legume cover crops have been shown to increase soil organic carbon (SOC) in subtropical soils. However, the mechanisms underpinning management system effects on SOC accumulation are still not well understood. We used a combination of aggregate size and density fractionation to elucidate these mechanisms at a 30 year old experiment on an Acrisol in southern Brazil. The effects of two tillage systems [conventional system (CT) and no tillage (NT) combined with three cropping systems [oat/maize (O/M) vetch/maize (V/M) and oat vetch/maize cowpea (OV/MC) were evaluated in the top 20 cm soil layer. Overall, macroaggregation >0.25 mm) was significantly influenced by tillage with NT showing values 14% greater than CT in the 0 5 cm soil depth. On average, the occluded light fraction C content in macroaggregates was more than twice as high under NT compared to CT (4.4 vs. 1.8 g kg 1) This effect was more pronounced when legume cover crops were grown. However, the most significant effect of cover crops was observed in the organomineral fraction of microaggregates, especially under NT (12.1 under O/M and 19.8 g kg 1 under OV/MC) Our results suggest that, although NT increased the occluded light fraction C compared to CT, this effect was smaller than the gains that legume cover crops offered in organomineral association.
Spatio Temporal LSTM with Aggregated Feature Learning for Human Action Recognition
Venue: 2019 IEEE International Conference on Real time Computing and Robotics (RCAR)
Year: 2019

Human action recognition has received much research attention in recent years. Discriminative features learning is important for modeling the spatial and temporal evolutions of different actions. Recent works attempted to use RNN/LSTM to learn spatio temporal features of joints. However, the features of joints are not fully explored in these conventional LSTMs, where each joint only receives context information from itself from previous frames. In this paper, we propose a LSTM network model by using aggregated feature learning strategy to extend feature representation in both spatial and temporal domains. In this model, the features of a joint are aggregated not only from all joints at previous moments, but also at current moment. Therefore, action related features within the human skeleton sequences can be better represented and analyzed. To further optimize the network, we present a reparameterization that involves batch normalization and sparsemax classifier for the proposed LSTM network. We evaluate our approach on NTU RGB+D benchmark dataset. Experiment results demonstrate the effectiveness of the proposed approaches.
A Case for Replication Synthesizing Research Methodologies in Software Engineering
Year: 2010

Software Engineering (SE) problems are from both practical and theoretical standpoints immensely complex, involving interactions between technical, behavioral, and social forces. In an effort to dissect this complexity, SE researchers have incorporated a variety of research methods. Recently, the field has entered a paradigm shift a broad awakening to the social aspects of software development. As a result, and in concert with an ongoing struggle to establish SE research as an empirical discipline, SE researchers are increasingly appropriating methodologies from other fields. In the wake of this self discovery, the field is entering a period of methodological flux, during which it must establish for itself effective research practices. We present a unifying framework for organizing research methods in SE. In the process of elucidating this framework, we dissect the current literature on replication methods and place replication appropriately within the framework. We also further clarify, from a high level and with respect to SE, the mechanisms through which science builds usable knowledge.