nils-herrmann/clean_scirepeval huggingface dataset:
La violencia y acoso escolar en una escuela de Guadalajara, Mexico
Venue: Revista Iberoamericana de Educacion
Year: 2019

La relacion violenta entre alumnos y maestros, esta vinculada con la falta de madurez de la adolescencia y las relaciones interpersonales, convirtiendose en problema complejo ante los factores que influyen.  identificar la prevalencia de violencia entre alumnos y profesores y tipos de esta con mayor frecuencia desde la perspectiva de los estudiantes, y la asociacion de factores como sexo, edad, grado academico y lugar de origen del escolar.La muestra 47 hombres y 55 mujeres, total 102 escolares. Se encontro una prevalencia general de violencia de los alumnos hacia los profesores del 41.9% de maestros a los alumnos del 39.8% Violencia mas frecuente fue los tipos de violencia dirigida al docente que se presentaron con mas frecuencia fueron: la disrupcion en el aula (48.46 seguida por la violencia verbal (32.85 .De la asociacion de factores, de las respuestas afirmativas dirigida al maestro, los alumnos de 3er grado ocuparon el mayor porcentaje (41.72 las mujeres (57.21% por edad, los alumnos de 13 anos (33.63 Respecto al lugar de origen, quienes viven en el municipio de Guadalajara fueron mas constantes (65.3 .Las mujeres identificaron mas los actos violentos en el aula. La disrupcion es mas recurrente seguida por la violencia verbal.
Social Aware Movie Recommendation via Multimodal Network Learning
Venue: IEEE Transactions on Multimedia
Year: 2018

With the rapid development of Internet movie industry social aware movie recommendation systems (SMRs) have become a popular online web service that provide relevant movie recommendations to users. In this effort many existing movie recommendation approaches learn a user ranking model from user feedback with respect to the movie's content. Unfortunately this approach suffers from the sparsity problem inherent in SMR data. In the present work we address the sparsity problem by learning a multimodal network representation for ranking movie recommendations. We develop a heterogeneous SMR network for movie recommendation that exploits the textual description and movie poster image of each movie as well as user ratings and social relationships. With this multimodal data we then present a heterogeneous information network learning framework called SMR multimodal network representation learning (MNRL) for movie recommendation. To learn a ranking metric from the heterogeneous information network we also developed a multimodal neural network model. We evaluated this model on a large scale dataset from a real world SMR Web site and we find that SMR MNRL achieves better performance than other state of the art solutions to the problem.
The End of China's One Child Policy.
Venue: Studies in family planning
Year: 2016

Starting on January 1, 2016, all Chinese couples are allowed to have two children. This marks the end of China's one child policy, which has restricted the majority of Chinese families to only one child for the last 35 years. Yet, China's policy change came at least a decade later than it should have. The costly lessons to be learned are not only in politics and public policymaking, but also in how parts of the academic community informed and misinformed public policymaking.
FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation
Year: 2020

Chlorophyll fluorescence simulation is a hot topic in vegetation remote sensing as it allows to link measurements at leaf and canopy scales to the leaf photosynthetic activity. This work tries to simulate light propagation, scattering and fluorescence emission using 3 D vector radiative transfer theory that allows dealing with polarization. The model is called Fluorescence Leaf Canopy Vector Ratiative Transfer, FluLCVRT. Realistic 3 D mock up of leaf is used to do simulation based on Monte Carlo ray tracing. Fluorescence is created when radiation passes through chloroplasts. The emission is proportional to the absorbed amount of radiation within the latter. Emitted fluorescence exits chloroplast in a random direction, therefore ray tracing is done separately for original radiation and fluorescence. Bidirectional reflectance, transmittance, and fluorescence are estimated at leaf level within a discrete tessellation for input and output angles, that are afterward saved as databases. Then at canopy level, ray tracing is done leaf by leaf, and at each iteration, original radiation is traced in addition to an auxiliary one relative to fluorescence. Both phenomena are governed by their leaf bidirectional distributions and the precalculated databases are used. Results at leaf level point out the variation of the bidirectional distributions. Particularly, reflectance and upward fluorescence are characterized by high specular effect and hot spot peak, respectively. Horizontally polarized radiation emits fluorescence less than the vertical one because its surface highly reflects radiation in the specular direction. Fluorescence in red and near infrared increases and decreases with respect to chlorophyll content, respectively. Fluorescence is emitted from shallow chloroplasts in upward case. Meanwhile, in the downward one, it is mainly originated from shallow and deep chloroplasts in the red and near infrared bands, respectively. At canopy level, the same chlorophyll, polarization, and bidirectional effects are observed except that hot spot peak becomes clear in reflectance. When LAI increases, fluorescence saturates at LAI equal 2 and 3 in red and near infrared. Soil contribution in fluorescence is not too much since it does not diffuse an important amount of radiation in the chlorophyll absorption domain. A comparison between our model and Fluspect at leaf level shows differences in scattering and fluorescence. They are mainly due to the decrease of the chlorophyll efficiency in FluLCVRT due to the clumping of the chloroplasts within cell cytoplasm. Such an effect is not modeled in Fluspect.
Android Botnet Detection using Convolutional Neural Networks
Venue: 2020 28th Iranian Conference on Electrical Engineering (ICEE)
Year: 2020

Today, Android devices are capable of providing various services. They support applications for different purposes, such as entertainment, business, health, education, and banking services. Because of the functionality and popularity of Android devices as well as the open source policy of Android OS, they have become a suitable target for attackers. An Android botnet is one of the most dangerous malware because an attacker called botmaster can remotely control that to perform destructive attacks. Several researchers have used different well known Machine Learning (ML) methods to recognize Android botnets from benign applications. However, these conventional methods are not capable of detecting new sophisticated Android botnets. In this paper, we propose a novel method based on Android permissions and Convolutional Neural Networks (CNNs) to detect Android botnet applications. Being the first developed method that applies CNNs for this aim, we also proposed a novel method to represent each application as an image that is constructed based on the co occurrence of permissions given to that application. The proposed CNN is a binary classifier that is trained using these images. Evaluating the proposed method on 5450 Android applications consist of botnet and benign samples, the obtained results show the accuracy of 97.2% and recall of 96% which is a promising result only using Android permissions.
Cognitive remediation using virtual reality and an electrophysiological marker of attention for promotion of cognition and everyday functioning among people with psychotic disorder: A case study
Venue: 2019 International Conference on Virtual Rehabilitation (ICVR)
Year: 2019

One of the ways in which psychotic disorders affect every day functioning and well being is through their impact on cognition. Various cognitive interventions have been developed to improve cognition, but none that were primarily designed for hospital settings. This case study demonstrates feasibility of Virtual Reality [VR] based cognitive remediation with ongoing monitoring for attention of a hospitalized person with psychosis. The intervention and its contribution to cognitive, functional and illness related outcomes is described.
Exploring diverse and fine grained caption for video by incorporating convolutional architecture into LSTM based model
Venue: Pattern Recognit. Lett.
Year: 2020

As a fundamental problem in visual understanding, video captioning has attracted much attention from both computer vision and natural language processing communities. Despite recent emergence of video captioning methods, how to generate diverse and fine grained video description is far from being solved. To this end, this work makes the following contributions. First, a novel high quality video captioning system featuring hierarchical long short term memory structure and dual stage loss is designed to translate videos to sentences. Second, we incorporate the convolutional architecture into our captioning system with the aim of generating diverse and fine grained description. Third, we propose a novel performance evaluation metric named LTMS to assess the fine grained captions. The experimental results on the benchmark datasets MSVD and MSR VTT indicate the effectiveness of the proposed model, achieving superior performance over state of the art methods.
An Alternative Lattice Boltzmann Model for Incompressible Flows and its Stabilization
Year: 2017

In this paper, an alternative lattice Boltzmann (LB) model for incompressible flows is proposed. By modifying directly the moments of the equilibrium distribution function (EDF) the continuous expression of the EDF in tensor Hermite polynomials is derived using the moment expansion and then discretized with the discrete velocity vectors of the D2Q9 lattice. The present model as well as its counterpart, the incompressible LB model proposed by Guo, reproduces the incompressible Navier Stokes (N S) equations for both steady and unsteady flows. Besides, an alternative pressure formula, which represents the pressure as the diagonal part of the stress tensor, is adopted in the present model. Furthermore, in order to enhance the stability of the present LB model, an additional relaxation time pertaining to the non hydrodynamic mode is added to the BGK collision operator. The present LB model is validated by two benchmark tests: the cavity flow with different Reynolds number (Re) and the flow past an impulsively started cylinder at Re=40 and 550.  47.10.ab, 47.11. j, 02.60.Cb
Multiview Uncorrelated Locality Preserving Projection
Venue: IEEE Transactions on Neural Networks and Learning Systems
Year: 2020

Canonical Correlation Analysis (CCA) is a popular multiview dimension reduction method, which aims to maximize the correlation between two views to find the common subspace shared by these two views. However, it can only deal with two view data, while the number of views frequently exceeds two in many real applications. To handle data with more than two views, in the previous studies, either the pairwise correlation or the high order correlation was employed. These two types of correlation define the relation of multiview data from different viewpoints, and both have special effects for view consistency. To obtain flexible view consistency, in this article, we propose multiview uncorrelated locality preserving projection (MULPP) which considers two types of correlation simultaneously. The MULPP also considers the complementary property of different views by preserving the local structures of all the views. To obtain multiple projections and minimize the redundancy of low dimensional features, for each view, the MULPP makes the features extracted by different projections uncorrelated. The MULPP is solved by an iteration algorithm, and the convergence of the algorithm is proven. The experiments on Multiple Feature, Coil 100, 3Sources, and NUS WIDE data sets demonstrate the effectiveness of MULPP.
Expanding the Family of Hoveyda Grubbs Catalysts Containing Unsymmetrical NHC Ligands
Year: 2017

A series of Hoveyda Grubbs second generation catalysts containing N alkyl/N' aryl N heterocyclic carbene (NHC) ligands were synthesized and investigated in representative olefin metathesis reactions. Steric perturbations of unsymmetrical NHCs were achieved through modulation of the hindrance of alkyl (neopentyl, neophyl, cyclohexyl) and aryl (2 isopropylphenyl, mesityl) substituents at the nitrogen atoms in combination with different backbone configurations (syn and anti) The NHC substitution patterns strongly influence the stability and reactivity of the corresponding complexes. In general, complexes bearing an anti NHC backbone are more stable and more active than their corresponding syn isomers. In both the series, the presence of bulky, highly branched N alkyl groups tends to give reduced catalytic differences between syn and anti isomers, whereas the nature of the N' aryl substituent (2 isopropylphenyl or mesityl) gives rise to different activity and/or selectivity. Of note, an N' mesityl catalyst w.
Rumors Detection in Sina Weibo Based on Text and User Characteristics
Venue: 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)
Year: 2018

M414 such as Twitter and Sina Weibo have brought convenience to people in recent years, but there are a large number of internet rumors bring serious harm to us. Because of the fuzziness and concealment of rumors, the automatic identification of microblog rumors is very difficult, which brings great challenges to microblog's supervision. In this paper, for the text information of rumors, we construct a new emotional classification method, and use this method to analyze the emotional orientation of comments, and then calculate the proportion of negative emotional comments. Combined with user information at the same time, we analyze retweet list and comment list, and then judge whether there are authoritative users who participated in the spread of rumors. Moreover, we extract features from the information of user and calculate the user's reputation value. Finally, we use the training classifier to detect microblog rumors. Experimental results illustrate the efficacy and efficiency of the proposed new features in microblog rumors detection.
The flow physics of COVID 19
Venue: Journal of Fluid Mechanics
Year: 2020

Flow physics plays a key role in nearly every facet of the COVID 19 pandemic. This includes the generation and aerosolization of virus laden respiratory droplets from a host, its airborne dispersion and deposition on surfaces, as well as the subsequent inhalation of these bioaerosols by unsuspecting recipients. Fluid dynamics is also key to preventative measures such as the use of face masks, hand washing, ventilation of indoor environments and even social distancing. This article summarizes what we know and, more importantly, what we need to learn about the science underlying these issues so that we are better prepared to tackle the next outbreak of COVID 19 or a similar disease.
Mean Flow Structures Inside the Human Upper Airway
Year: 2008

The lattice Boltzmann method (LBM) was used to conduct a direct numerical simulation study of the airflow inside an idealised human upper airway. Results from both a modest resolution (18 million control volumes, 320 Gb data set) and an extreme resolution (148 million control volumes, 800 Gb data set) LBM simulation were compared to those from experimental results (Johnstone, A. Hot wire measurements in an oropharyngeal pathway. M.Sc. Thesis, Queen's University, Kingston, ON, Canada, 2002; Johnstone et al. Expt Fluids 37(5) 673 689, 2004) A coarse resolution simulation (2.4 million control volumes, 105 Gb data set) was used to record the entire time varying flow field; the nature of the mean structures in the three dimensional flow field was studied using this data set. For the mean statistics, the LBM calculations yield better results than do the Reynolds averaged Navier Stokes methods (Ball et al. Comput Fluids, 2007) the LBM reproduces significant detail of experimentally observed flow features. The flow is three dimensional, obviously, and the interrogation of the mean flow structure is found to be unsteady so that sagittal plane and time integrated measurements alone are insufficient to verify the accuracy of computational predictions of this flow.
Queerness of Hallyu 2.0: Negotiating Non normative Identities in K pop Music Videos
Year: 2020

This paper discusses the visual encodings of non normativities in the selected K pop music videos and seeks to establish them within the aesthetic of gendered desirability that deviates from what is considered a social norm in South Korean culture. The first part presents a short history and current boundaries of Korean pop music and the construct of gender and its (inter)relation with sex and rhetoric of desire are discussed. The next section maps out the changes in the understanding of normativity and the concept of queerness. The final part of the paper relates the theories and practices of non normative identities to the visualities from post 2007 K pop music videos, using examples to illustrate and contextualize them. The authors focus on the representations of masculinities and show how selected texts can be read as spaces of liminality defying normative cultural and social rules.
Alum adjuvant boosts adaptive immunity by inducing uric acid and activating inflammatory dendritic cells
Venue: The Journal of experimental medicine
Year: 2008

Alum (aluminum hydroxide) is the most widely used adjuvant in human vaccines, but the mechanism of its adjuvanticity remains unknown. In vitro studies showed no stimulatory effects on dendritic cells (DCs) In the absence of adjuvant, Ag was taken up by lymph node (LN) resident DCs that acquired soluble Ag via afferent lymphatics, whereas after injection of alum, Ag was taken up, processed, and presented by inflammatory monocytes that migrated from the peritoneum, thus becoming inflammatory DCs that induced a persistent Th2 response. The enhancing effects of alum on both cellular and humoral immunity were completely abolished when CD11c+ monocytes and DCs were conditionally depleted during immunization. Mechanistically, DC driven responses were abolished in MyD88 deficient mice and after uricase treatment, implying the induction of uric acid. These findings suggest that alum adjuvant is immunogenic by exploiting "nature's adjuvant," the inflammatory DC through induction of the endogenous danger signal uric acid.
Children, stereotypes and prejudice
Year: 2010

The social psychology of groups forms an integral component of mainstream social psychology courses throughout the western world. It is also of interest to intersecting disciplines such as sociology, organizational and cross cultural psychology, and language and communication studies. This double volume encyclopedia (the only one in existence) will cover concepts from across the spectrum, from group phenomena to phenomena influenced by group membership, from small group interaction to intergroup relations on a global scale. The proposed Encyclopedia would contain over 400 concepts, written by an international and interdisciplinary gathering of researchers and cover the following topic areas:  Theory Cognition Types of Groups Organizations Influence and Persuasion Prejudice and Discrimination Decision Making Conflict and Cooperation Group Structure Group Performance Intergroup Relations in Society Identity and Self
Impact of Shelf Space on Purchase Behavior of Consumer
Year: 2014

When a consumer push the cart to the passage of a supermarket he finds lot of product categories with lots of competitive brands entangling him. This is due to the limited shelf space availability and the thronging brands striving to get in the basket of the customers. The shelf space is a crucial strategy which influences the sales and marketing effectiveness. It can be evidently noticed that the lower shelf seeks less attention than upper shelves thus significant difference between the sales of the products brands can be observed placed in two different shelves. However acquiring a shelf space is a costly affair. A supermarket or a retailer in order to give space to the new product has to exonerate any other product, which requires labor and materials cost, data entry in the computer software, labeling etc. A supermarket or a retailer has to be adequately compensated for taking all such pains. The present research is a conceptual research which attempts to study the impact of shelf space on the purchase behavior of the consumers.
Panel 4 Sustainability and Rural Landscapes: CultureNature based solutions
Year: 2019

Rural landscapes with interconnected CultureNature heritage value have much to contribute to the resiliency and sustainability of food production, use of renewable natural resources and overall well being of communities. Their contributions have had limited recognition within the global framework for the UN Sustainable Development Goals (SDGs) and some reference in the UN Habitat New Urban Agenda. Rural landscapes are addressed in SDG 11 as a type of 'human settlement' and Target 11.4 calls for 'strengthening efforts 'to protect and safeguard the world's cultural and natural heritage' The World Rural Landscape Initiative of the ICOMOS IFLA ISC on Cultural Landscapes (ISCCL) has compiled an ICOMOS doctrinal text of principles that advocates for more recognition of heritage values of rural landscapes and provides guidance on conservation. These principles address the CultureNature interconnectedness integral to many rural landscapes. This workshop will explore in more depth strategies for this aspect of rural landscapes in order to provide further guidance. The workshop will include three 10 minute presentations followed by discussion led by the co convenors. The speakers include: Paper 4.1 ICOMOS perspective on addressing CultureNature integration in the implementation of the SDGs Dr. A. Ege Yildirim; Paper 4.2 a case study on resiliency of rural landscapes of Ghana George Ortsin, UNDP Global Environmental Facility Small Grants Program; and Paper 4.3 a case study from the ICOMOS/IUCN Connecting Practice Project Kristal Buckley, Deakin University, Melbourne, Australia. The intended outcomes of the workshop are to: (1) identify ways that ISCCL can work with ICOMOS, IUCN and other partners to mainstream rural landscapes within the SDGs and New Urban Agenda; (2) outline key components of additional guidance for CultureNature interlinkages on rural landscapes; and (3) develop a network of individuals to advance these outcomes by 2020 at the IUCN World Conservation Congress and at the ICOMOS General Assembly Scientific Symposium.
Microwave Assisted Ion Exchange Synthesis and Enhanced Visible Light Photoactivity of Graphene CdS/CuS Nanoplates.
Venue: Journal of nanoscience and nanotechnology
Year: 2020

A novel reduced graphene oxide graphene CdS/CuS nanoplate (G CdS/CuS NP) was fabricated using a microwave method of loading CdS nanoplates onto graphene sheets (G CdS NP) and subsequent cation exchange between G CdS NP and Cu(NO3)2. The prepared G CdS/CuS NP exhibited excellent photocatalytic activity which was attributed to the synergy between graphene and CdS/CuS NP. The heterostructure in the CdS/CuS NP lead to an efficient charge transport across the interface. Graphene facilitated the transformation of electrons and reduced the recombination of electron hole pairs. These results provide a fabrication method for highly active photocatalysts and will lead to future rational design of photocatalytic materials.