nils-herrmann/clean_scirepeval huggingface dataset:
The Implementation of Reading Aloud in Developing Students' Speaking Skill
Year: 2020

This research focuses on the implementation of reading aloud in developing students' speaking skill. It aims to find out whether the implementation of reading aloud develops the students' speaking skill. This research used correlation research design in which questionnaire and speaking test are the instruments of this research. The population of this research is the first semester students of English Language Education Study Program, Faculty of Teacher Training and Education, Cokroaminoto Palopo University. The sample of this research is selected through purposive sampling technique. One class represented as the sample that is class B. The result of this research shows that reading aloud can be effective way in teaching speaking class since there is a significant relationship between reading aloud and the students' speaking skill. It is determined by p value of 0,027 which is below 0,05. Thus, the implementation of reading aloud significantly contributed to develop students' speaking skill.
Aerial image semantic segmentation using DCNN predicted distance maps
Year: 2020

This paper addresses the challenge of learning spatial context for the semantic segmentation of high resolution aerial images using Deep Convolutional Neural Networks (DCNNs) The proposed solution involves deriving a signed distance map for each semantic class from a ground truth label map and training a DCNN to predict this distance map instead of a score map for each class. Since the distance between a target pixel and its nearest object boundary measures how far the pixel penetrates an object, the distance maps encode spatial context, particularly spatial smoothness. Positive pixel values in the distance maps correspond to the correct class and negative values correspond to the incorrect class. A final label map is derived from the predicted distance maps by selecting the class with the maximum distance. Since neighboring pixels in the distance maps have similar values, the segmentation results are smoother than current approaches. The results are shown to be even better than performing post processing using fully connected Conditional Random Fields (CRFs) a common approach to smoothing the segmentations produced DCNNs. Experimental results on the semantic labeling challenge dataset show the proposed approach outperforms most state of the art methods. Our main contribution, though, is the novel idea of replacing the pixel wise class score maps of DCNNs with distance maps. This is therefore orthogonal and complementary to other techniques employed by the state of the art methods and could therefore be used to improve upon them.
Wideband Active and Passive Antenna Solutions for Handheld Terminals
Year: 2007

A printed dipole antenna with integrated balun is presented. The radiating structure is a two element dipole with resonances at 900 and 1700 MHz, with the balun providing one extra resonance at each band. By co designing the radiating element with a Marchand balun modified for dual band operation, an antenna covering the cellular bands 824 960 and 1710 2170 MHz has been achieved. Measurements on a fabricated antenna on low cost FR 4 substrate show antenna efficiencies of 80 and 70% in the lower and upper band respectively. Despite the use of a dual element radiator, the radiation pattern that is close to omni directional H plane is obtained.
Developing chemistry students' study skills through integration of visual organizers in teaching esp
Year: 2016

This study is aimed at development chemistry students' study skills through integration of visual organizers (VOs) in teaching English for Special Purposes (ESP) The research specifically examined the students' attitude toward the chemistry content of English classes and the achievement of two groups of 54 students under study. The results of the study indicated that there is a significant difference between the level of study skills in dealing with chemistry in English of the students in the experimental group before and after the experiment. The result of students' perception about visual organizers, as a strategy and approach to teaching English through chemistry, highlighted the rationale in this undertaking. All communicative activities and presentations used by the teacher in the class incorporating visual organizers in identified formats such word webbing, web diagram, flowcharts, concept maps, Venn diagram and pictorial graphics obtained a positive perception of chemistry information in English. Performance, on the other hand, indicated the VO's effectiveness in facilitating the learning of English and study skills development. This analysis implied that the experimental group performed significantly better than their peers in the control group. Facilitating English learning through chemistry content can be made through integrating visual organizers that help develop students' study skills. Hence, the use of visual organizers effect changes in learning chemistry content for the better. Visual organizers help students perform better and improve their attitude toward learning English for professional communication. This article is published under the Creative Commons Attribution 4.0 International License.
Spectral Driven Isometry Invariant Matching of 3D Shapes
Venue: International Journal of Computer Vision
Year: 2009

This paper presents a matching method for 3D shapes, which comprises a new technique for surface sampling and two algorithms for matching 3D shapes based on point based statistical shape descriptors. Our sampling technique is based on critical points of the eigenfunctions related to the smaller eigenvalues of the Laplace Beltrami operator. These critical points are invariant to isometries and are used as anchor points of a sampling technique, which extends the farthest point sampling by using statistical criteria for controlling the density and number of reference points. Once a set of reference points has been computed, for each of them we construct a point based statistical descriptor (PSSD, for short) of the input surface. This descriptor incorporates an approximation of the geodesic shape distribution and other geometric information describing the surface at that point. Then, the dissimilarity between two surfaces is computed by comparing the corresponding sets of PSSDs with bipartite graph matching or measuring the L1 distance between the reordered feature vectors of a proximity graph. Here, the reordering is given by the Fiedler vector of a Laplacian matrix associated to the proximity graph. Our tests have shown that both approaches are suitable for online retrieval of deformed objects and our sampling strategy improves the retrieval performances of isometry invariant matching methods. Finally, the approach based on the Fiedler vector is faster than using the bipartite graph matching and it has a similar retrieval effectiveness.
US and MRI in the evaluation of mammographic BI RADS 4 and 5 microcalcifications.
Venue: Diagnostic and interventional radiology
Year: 2018

The aim of this study was to assess diagnostic accuracies of ultrasonography (US) and magnetic resonance imaging (MRI) in lesions that manifest as mammographic BI RADS 4 and 5 microcalcifications, in the setting of conjoined use of mammography, US, and MRI.  Patients with mammographic BI RADS 4 or 5 microcalcifications, without additional findings, were included in this prospective study. All patients subsequently underwent breast US and MRI. Histopathologic diagnosis, obtained by US guided core needle biopsy or surgical excision, served as a reference standard. Diagnostic accuracies of US and MRI were calculated, and positive predictive value for different MRI BI RADS imaging features were determined.  The study group consisted of 113 women with 125 areas of suspicious microcalcifications. MRI reached sensitivity, specificity, positive predictive value 3 (PPV3) and negative predictive value (NPV) of 100% 70.1% 67.6% and 100% respectively. Statistically significant differences in MRI morphologic features and kinetic enhancement curves were observed between malignant and benign microcalcifications. Sensitivity, specificity, PPV3, and NPV for US were: 85.4% 66.2% 61.2% and 87.9% There was statistically significant difference in presentation of malignant and benign microcalcifications at US.  In the setting of conjoined use of mammography, US, and MRI, MRI can reliably exclude malignancy in suspicious microcalcifications. Thus, negative MRI findings may influence the decision to biopsy the microcalcifications.
Factores que influyen en la malnutricion de los ninos/as de la escuela Alfonso Moreno Mora parroquia Tarqui periodo 2016
Year: 2016

La malnutricion es considerada una enfermedad causada por el deficit o mala absorcion de nutrientes en el organismo que se manifiesta en un rezago del crecimiento fisico, menor desarrollo cognitivo y vulnerabilidad a las diferentes enfermedades.  Determinar los principales factores que influyen en la malnutricion de los ninos/as de la Escuela "Alfonso Moreno Mora" Parroquia Tarqui periodo 2016.  Se realizo una investigacion de tipo descriptivo y cuantitativa, a traves de la misma determinamos los principales factores que influyen en la malnutricion de los ninos/as de la escuela "Alfonso Moreno Mora" de la parroquia Tarqui.  Los resultados de la investigacion establecieron que de los 100 ninos/as participes de nuestro estudio, el 52% son hombres y el 48% son mujeres; ademas mediante el IMC segun los percentiles de Cronk se determino que el 12% presenta bajo peso, el 56% se encuentra saludable y un 32% tiene sobrepeso.  Se determino que los problemas de salud en los ninos/as en cuanto a la malnutricion estan relacionados con el estilo de vida, baja situacion socioeconomica de sus familias, disminucion de la ingesta de alimentos nutritivos que ayuden a su desarrollo
Exploring the effect of Emotional Intelligence on Job Stress
Year: 2020

The purpose of this study to assess how the personal profile influences Emotional Intelligence and job stress, and to how much the Emotional Intelligence predicts the job stress. The present study is descriptive in nature that conducted a survey by using a standardized questionnaire among 287 bank employees in Theni district. The study found that the EI constructs namely self emotions appraisal, other emotions appraisal, and use of emotions are significantly predict the job stress negatively. But another construct regulations of emotions is not estimating job stress significantly. The respondent's education, job cadre and salary influence the job stress significantly. The findings of the study are adding additional dimension to the organizational behavior of the employees at banks.
Asymptomatic Patients with Novel Coronavirus Disease (COVID 19)
Venue: Balkan medical journal
Year: 2020

Address for Correspondence: Bo Liu, Department of Infectious Diseases, Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, China Phone: +86 15871014208 e mail: liuxyyy2015@163.com ORCID: orcid.org/0000 0003 3063 1842  04  13 April 2020  Cite this article as: An P, Song P, Wang Y, Liu B. Asymptomatic Patients with Novel Coronavirus Disease (COVID 19) Balkan Med J 2020;37:229 30 (c)Copyright 2020 by Trakya University Faculty of Medicine The Balkan Medical Journal published by Galenos Publishing House. Asymptomatic Patients with Novel Coronavirus Disease (COVID 19)
Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings
Venue: Manag. Sci.
Year: 2015

Online product ratings are widely available on the Internet and are known to influence prospective buyers. An emerging literature has started to look at how ratings are generated and, in particular, how they are influenced by prior ratings. We study the social influence of prior ratings and, in particular, investigate any differential impact of prior ratings by strangers "crowd" versus friends. We find evidence of both herding and differentiation behavior in crowd ratings wherein users' ratings are influenced positively or negatively by prior ratings depending on movie popularity. In contrast, friends' ratings always induce herding. Further, the presence of social networking reduces the likelihood of herding on prior ratings by the crowd. Finally, we find that an increase in the number of friends who can potentially observe a user's rating "audience size" has a positive impact on ratings. These findings raise questions about the reliability of ratings as unbiased indicators of quality and advocate the need for techniques to debias rating systems. This paper was accepted by Sandra Slaughter, information systems.
Neighborhood ethnic composition, spatial assimilation, and change in body mass index over time among Hispanic and Chinese immigrants: Multi Ethnic Study of Atherosclerosis.
Venue: American journal of public health
Year: 2014

We investigated relations between changes in neighborhood ethnic composition and changes in body mass index (BMI) and waist circumference among Chinese and Hispanic immigrants in the United States.  We used Multi Ethnic Study of Atherosclerosis data over a median 9 year follow up (2000 2002 to 2010 2012) among Chinese (n 642) and Hispanic (n 784) immigrants aged 45 to 84 years at baseline. We incorporated information about residential moves and used econometric fixed effects models to control for confounding by time invariant characteristics. We characterized neighborhood racial/ethnic composition with census tract level percentage Asian for Chinese participants and percentage Hispanic for Hispanic participants (neighborhood coethnic concentration)  In covariate adjusted longitudinal fixed effects models, results suggested associations between decreasing neighborhood coethnic concentration and increasing weight, although results were imprecise: within person BMI increases associated with an interquartile range decrease in coethnic concentration were 0.15 kilograms per meters squared (95% confidence interval [CI] 0.00, 0.30) among Chinese and 0.17 kilograms per meters squared (95% CI 0.17, 0.51) among Hispanic participants. Results did not differ between those who did and did not move during follow up.  Residential neighborhoods may help shape chronic disease risk among immigrants.
Assessment of natural and hybrid ventilation models in whole building energy simulations
Year: 2011

Natural ventilation is a traditional cost effective technique to cool and ventilate buildings. Proper simulation tools are highly desired to ensure acceptable thermal performance of naturally ventilated buildings and to assist the design and optimization of such buildings. This study is to advance the use of natural and hybrid ventilation concepts in building design by assessing the accuracy and usability of current thermal ventilation models. Because of the similarity noted among various models and tools, a prevalent airflow thermal modeling program, EnergyPlus, was evaluated by simulating three selected real buildings that were supplied with most detailed building and measurement information. The study of these cases reveals that the current model has (1) significant functional limitations for venting and exhaust fan control schemes; (2) need for additional relationships to describe horizontal openings and fully open connections between zones; and (3) possible over prediction of buoyancy driven flows in the case of multi story buildings. The study further indicates the building and measurement data that are critical for a more accurate validation of thermal ventilation models, including, on site measured temperature, wind, and solar conditions; measured volume flow rate data, at critical points throughout the building; and effective area and discharge coefficients for specific vents used in building.
Ontology construction cooking domain
Year: 2006

This paper describes an ontology for the cooking domain, reporting on the ontology building process, its life cycle, applied methodologies, taken decisions and achieved results. In the past, our research group built a generic dialogue system able to manage specific devices at home, such as TVs, lamps and windows. The cooking domain appeared as an interesting research area, where our technologies could be applied, and techniques could be explored in order to make the system more independent from new domains. The information in the field is vast, and no information could be found in a manner that we could provide for the system. Besides the process of collecting all information, we also became conscious that techniques for managing and organizing such knowledge were essential. The promising and emerging ontologies domain seemed the best compromise, which was the motivation for developing the ontology here presented. The paper gives details on the steps performed for the building process, which mainly consisted in: specification, knowledge acquisition, conceptualization, implementation and evaluation. The sources of information, used in the knowledge acquisition phase, consisted mainly of books, the internet, and text analysis techniques, as well as brainstorming and cross validation sessions. Conceptualization consisted on the identification of concepts and groups of concepts and in building classification trees. The knowledge model was formalized using Protege, which was also used to automatically generate the ontology code. The resulting ontology comprehends four main modules covering the key concepts of the cooking domain actions, food, recipes, and utensils and two auxiliary modules units, measures, and equivalencies. All modules were cross validated in several meetings and informal competency questions were used in order to check the usefulness of the ontology.
Reinforcement Learning based Autonomous Vehicle for Exploration and Exploitation of Undiscovered Track
Venue: 2020 International Conference on Information Networking (ICOIN)
Year: 2020

This research focuses on autonomous traversal of land vehicles through exploring undiscovered tracks and overcoming environmental barriers. Most of the existing systems can only operate and traverse in a distinctive mapped model especially in a known area. However, the proposed system which is trained by Deep Reinforcement learning can learn by itself to operate autonomously in extreme conditions. The dynamic double deep Q learning (DDQN) model enables the proposed system not be confined to only in known environments. The ambient environmental obstacles are identified through Faster R CNN for smooth movement of the autonomous vehicle. The exploration and exploitation strategies of DDQN enables the autonomous agent to learn proper decisions for various dynamic environments and tracks. The proposed model is tested in a gaming environment. It shows the overall effectiveness in traversing of autonomous land vehicles. The goal is to integrate Deep Reinforcement learning and Faster R CNN to make the system effective to traverse through undiscovered paths by detecting obstacles.
The Effect of Perceived Value and Mobile Game Loyalty on Mobile Game's In app Purchase Intention
Venue: 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)
Year: 2020

Mobile game market is the fast growing game market and accounted for more than a half of the global game market's revenue. Because of the promising future many game developers develop monetization strategy to gain more profit from the mobile game market. Thus, by knowing what drivers that influence gamer's purchase intention and loyalty expected to help game developer to expand their market share. Then, this study uses conclusive descriptive to gain insight by analyzing effect of perceived value toward game loyalty and in app purchase intention. Moreover, this study also aims to investigate the effect of game loyalty toward user's intention to make in app purchase. This research used purposive sampling and involved 240 Mobile Legend gamers in Indonesia. Data is processed with SEM using LISREL software version 8.8. The result shows perceived playfulness, perceived connectedness, perceived good price, and perceived reward are significantly influence mobile game loyalty. While perceived connectedness and perceived good price significantly influence in app purchase intention. In the other side, Mobile game loyalty also has significant influence on in app purchase intention. In addition, the result also found that perceived connectedness and perceived reward significantly influence perceived good price.
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Venue: ArXiv
Year: 2021

Federated learning (FL) is a new machine learning framework which trains a joint model across a large amount of decentralized computing devices. Existing methods, e.g. Federated Averaging (FedAvg) are able to provide an optimization guarantee by synchronously training the joint model, but usually suffer from stragglers, i.e. IoT devices with low computing power or communication bandwidth, especially on heterogeneous optimization problems. To mitigate the influence of stragglers, this paper presents a novel FL algorithm, namely Hybrid Federated Learning (HFL) to achieve a learning balance in efficiency and effectiveness. It consists of two major components: synchronous kernel and asynchronous updater. Unlike traditional synchronous FL methods, our HFL introduces the asynchronous updater which actively pulls unsynchronized and delayed local weights from stragglers. An adaptive approximation method, Adaptive Delayed SGD (AD SGD) is proposed to merge the delayed local updates into the joint model. The theoretical analysis of HFL shows that the convergence rate of the proposed algorithm is O( 1 t+t for both convex and non convex optimization problems.
Linguistic Basis of Humor In Uses of Grice's Cooperative Principle
Year: 2012

Grice's Cooperative Principle (CP) was originally presented at Harvard University in 1967 as part of the William James lectures. Once established, Cooperative Principle had a widespread impact on a range of scholar activity, from work interested in the narrowest issues of language meaning to work interested in the broadest questions of social communication. As is known, verbal humor is a genre of linguistics interaction that often emerges in daily conversation. This paper is aimed at probing into the linguistic basis involved in the process of language humor from the perspective of Grice's CP. It is also intended to reveal the relation between creation of humor and violation of cooperative principle, and then give critical comments on Grice's cooperative principle, which mainly focuses on limitations Grice's cooperative principle. Finally, the essay has a natural conclusion for contribution of study pragmatics of conversational principle, and its application in other fields.
Beliefs of a traditional rural Indian family towards naturalistic and faith healing for treating epilepsy: a case study
Venue: BMJ Case Reports
Year: 2018

In this case study, we describe our experiences with a rural poor family from north India that initially contacted faith healers for treatment of their child who was having symptoms suggestive of epilepsy, but the seizures continued even after this. The family migrated to a city, where they started allopathic treatment, but eventually they had to discontinue it as there was no apparent relief. Again, they went back to their native village and restarted the treatment from the faith healer. This case study highlights the fact that in spite of the significant development of medical science, many questions pertaining to epilepsy treatment are still unanswered. Such dissatisfaction with the allopathic treatment of epilepsy is very common. Complexity of the disease and high cost of modern medication, side effects of drugs, efficient but heavy treatment protocols and unpredictable outcome are responsible for continued practice of people consulting faith healers for treatment of epilepsy. However, these remain unnoticed and undocumented.