nils-herrmann/clean_scirepeval huggingface dataset:
PREDICTIVE EVALUATION OF PERFORMANCE OFCOMPUTER SCIENCE STUDENTS OF UNNES USING DATAMINING BASED ON NAIVE BAYES CLASSIFIER (NBC)ALGORITHM
Year: 2017

Predictive evaluation is essential in order to map the performance of students from the Department of Computer Science of Mathematics and Natural Sciences Faculty of Universitas Negeri Semarang (UNNES) a state university in Semarang, Indonesia and graduation of students in a timely manner can also be predicted. This predictive evaluation can be seen by making a system based on the algorithm of Naive Bayes Classifier (NBC) The data were taken from the performance of students which is the GPA from the 1st semester up to the 4th semester. The problem is how to predict the success of students in Computer Science Department of UNNES to graduate on time based on the performance of students from the 1st semester to the 4th semester? The main purpose of this research is to produce a system based on NBC algorithm that is able to predict the success of students to finish the study on time based on the performance of the students which is the GPA of the 1st semester to the 4th semester. To resolve this problem, the research divided into two stages of completion. The first stage was the literature review. This stage has been conducted by the researchers. The second stage determined the prediction of Computer Science student achievement using the method of NBC. This stage including (1) Data Collection, (2) Build a data mining system, (3) Data Processing, (4) Conducting the process of prediction, and (5) Analysis of  Based on the calculations of NBC that has been carried out, it can be concluded that 85% of students will graduate on time. The use of NBC will be better when more training data.
Study on the Development of Cold Chain Logistics of Agricultural Products in Hubei
Year: 2011

With the adjustment of agricultural structure and consumption level,the whole society and quality of agricultural products a higher security requirements.Accelerate the development of agricultural products,cold chain logistics for the promotion of farmers' income and ensure consumer safety is of great significance.After extensive investigation by our group in recent years to master the basic agricultural products in Hubei cold chain logistics development status of the case,proposed the development of Hubei Agricultural cold chain logistics proposals.
Changes in radiation interception and R:FR over time and with canopy depth of two soybean cultivars with different branching characteristics
Year: 2017

Because an outgrowth of auxiliary bud in plant is regulated by light quality detected by phytochrome, branching differences in various environment or cultivars in soybean would be the results of the responses to light environment. Therefore, we analyzed differences in the number of branches of two determinate soybean cultivars, 'Hatsusayaka' and 'Sachiyutaka' between low and high planting densities in relation to light quality within the canopy. We compared changes in the ratio of red to far red (R:FR) irradiance at the ground level over time and with canopy height with those in the fraction of intercepted photosynthetically active radiation (FIPAR) and leaf area index (LAI) Regardless of time or distance from the top of the canopy, the changes in R:FR were sigmoidal, and were symmetrical with those of FIPAR and LAI. The effects of density and cultivar on FIPAR, LAI, and R:FR could be modeled with a logistic function. The number of branches was greater at low density than at high density, and in Hatsusayaka than in Sachiyutaka. However, there were no notable differences in the dynamics of R:FR between planting densities or between cultivars. Close relationships between parameters of the dynamics of the changes in R:FR and of those in FIPAR and LAI suggest that FIPAR and LAI are major factors that regulate R:FR, regardless of time or canopy depth. We found no evidence of a causal relationship between the dynamics of R:FR within the canopy over time or with canopy depth and number of branches of either cultivar.
An enhanced graph based semi supervised learning algorithm to detect fake users on Twitter
Venue: The Journal of Supercomputing
Year: 2019

Over the the past decade, social networking services (SNS) have proliferated on the web. The nature of such sites makes identity deception easy, providing a fast means for creating and managing identities, and then connecting with and deceiving others. Fake users are those accounts specifically created for purposes such as stalking or abuse of another user, for slander, or for marketing. The current system for detecting deception depends on behavioral, non behavioral and user generated content (UGC) information gathered from users. Although these methods have high detection accuracy, they cannot be implemented in databases with massive volumes of data. To address this issue, this paper proposes an enhanced graph based semi supervised learning algorithm (EGSLA) to detect fake users from a large volume of Twitter data. The proposed method encompasses four modules: data collection, feature extraction, classification and decision making. Data collected from Twitter using Scrapy is utilized for the evaluation. The performance of the proposed algorithm is tested with existing game theory, k nearest neighbor (KNN) support vector machine (SVM) and decision tree techniques. The results show that the proposed EGSLA algorithm achieves 90.3% accuracy in spotting fake users.
"Seen Is Solution" a CAD/CAE integrated parallel reanalysis design system
Year: 2016

In this study, a CAD/CAE integrated reanalysis design system composed of 4 layers, i.e. triangle patch based CAD modeling module, triangle element simulation solver, reanalysis faster solver and multi GPU parallel platform, is developed. The CAD/CAE integrated system concept is typically applied during closed loop design procedures (e.g. adaptive optimization and topological optimization) However, most engineers freely adjust the design aiming to obtain corresponding analytical results synchronously. Based on this concept, the defining characteristic of the developed system is its "Seen Is Solution" approach, and it is thus coined the SIS system. As is the case for other CAD/CAE integrated systems (e.g. IsoGeometric Analysis (IGA) the designer is only required to build a CAD model, define constraints and adjust designs. Corresponding results must be shown to designers online. The basis of the developed system involves the integration of Edge Smooth Finite Element Methods (ES FEM) and reanalysis. To improve the efficiency of the design procedure, the system is also parallelized based on a multi GPU computational platform. The developed system has been applied to vehicular design and has been found to shorten the design cycle significantly. Moreover, the SIS system can be integrated with popular closed loop optimization methods.
Structural Information and Communication Complexity
Venue: Lecture Notes in Computer Science
Year: 2014

One of the main issues addressed in Turing's work was about computability, namely, one of his Holy Grail's quests was to answer the question "What can be mechanically computed?" Since the definition of the Turing's machine and the statement of the Turing Church's thesis, a lot of great technological advances have modified our view of what is a "computing device" Among them, distributed systems sometimes cosmetically called "cloud computing" are among the most pervasive, and force us to think again to the computability power of such systems. This is becoming more and more important because, not only the world is distributed, but more and more applications are distributed. Hence, a fundamental question is the following one: What can be computed in a distributed system? The answer to this question depends on the environment in which evolves the considered distributed system, i.e. the assumptions the system relies on. This environment is very often left implicit and nearly always not formulated in terms of precise underlying requirements. In the extreme case where the environment is such that there is no synchrony assumption and the computing entities may commit failures, many problems become impossible to solve (in these cases, a network of Turing machines where some machines may crash, is less powerful than a single reliable Turing machine) Given a distributed computing problem, it is consequently important to know the weakest assumptions (lower bounds) that give the limits beyond which the considered distributed problem cannot be solved. This talk is a short introduction to this kind of issues. It first presents concepts and results related to distributed computability, and then briefly addresses distributed complexity issues, which are the two lenses that allows us to understand and master computing. The following table summarizes the main issues encountered in distributed computing seen from
Authenticated Garbling and Efficient Maliciously Secure Multi Party Computation
Venue: IACR Cryptol. ePrint Arch.
Year: 2017

In this paper, we extend the recent work by Wang et al. who proposed a new framework for secure two party computation in the preprocessing model that can be instantiated efficiently using TinyOT. We show that their protocol can be generalized to the multi party setting, where the preprocessing functionality is based on the multi party TinyOT like protocol. Assuming there are n parties where at most n 1 parties are corrupted, the function dependent phase has a total communication complexity of O(kn) bits per AND gate; the online phase has a total communication complexity of O(kn) bits per input/output bit. In the second part of this paper, we propose a new multi party TinyOT protocol. The new protocol uses a set of new techniques that allow parties to distributively check the correctness without the need for cut and choose. The resulting protocol is much more efficient compared to previous protocols: with statistical security parameter r, the complexity to generate one AND triple is O( r log |C|n where |C| is the circuit size. The best previous multi party TinyOT protocol by Frederiksen et al. has a complexity of O( r 2 log2 |C|n per AND triple. The complexity is measured in terms of number of symmetric key operations/number of symmetric key messages. The resulting protocol enjoys extremely high efficiency, compared to the state of the art protocol by Lindell et al. that combines the BMR protocol with the SPDZ protocol.
Deep Convolutional Inverse Graphics Network
Venue: NIPS
Year: 2015

This paper presents the Deep Convolution Inverse Graphics Network (DC IGN) a model that aims to learn an interpretable representation of images, disentangled with respect to three dimensional scene structure and viewing transformations such as depth rotations and lighting variations. The DC IGN model is composed of multiple layers of convolution and de convolution operators and is trained using the Stochastic Gradient Variational Bayes (SGVB) algorithm  We propose a training procedure to encourage neurons in the graphics code layer to represent a specific transformation (e.g. pose or light) Given a single input image, our model can generate new images of the same object with variations in pose and lighting. We present qualitative and quantitative tests of the model's efficacy at learning a 3D rendering engine for varied object classes including faces and chairs.
Making the Patent Scope Consistent with the Invention: Evidence from Japan
Year: 2016

Delineating the patent scope consistently with the contribution of the disclosed invention is one of the most crucial requirements for a patent system to promote innovation effectively. Given the incentive of an applicant to set a scope for the patent as broad as possible, an important task of the Patent Office is to narrow it so that it becomes commensurate with the invention. This study analyzes empirically how significantly the Patent Office delivers this important function through patent examination, focusing on product patents in four major technology areas. We find that, often (i.e. two thirds of the granted patents) the patent's scope is narrowed as an outcome of the patent examination. In addition, both the incidence and the extent of such narrowing increase when the applicant chooses broader claims and decrease when the quality of prior art disclosure by the applicant is higher, suggesting that patent examination indeed contributes to making the patent scope consistent with the contribution of the invention. We also found that a more important patent application experiences more the narrowing event, consistent with our simple model of examination where an examiner aims at reducing the economic cost due to excess claim such as deadweight loss, subject to time constraint.
Offensive Language and Hate Speech Detection for Danish
Venue: LREC
Year: 2020

The presence of offensive language on social media platforms and the implications this poses is becoming a major concern in modern society. Given the enormous amount of content created every day, automatic methods are required to detect and deal with this type of content. Until now, most of the research has focused on solving the problem for the English language, while the problem is multilingual. We construct a Danish dataset DKhate containing user generated comments from various social media platforms, and to our knowledge, the first of its kind, annotated for various types and target of offensive language. We develop four automatic classification systems, each designed to work for both the English and the Danish language. In the detection of offensive language in English, the best performing system achieves a macro averaged F1 score of 0.74, and the best performing system for Danish achieves a macro averaged F1 score of 0.70. In the detection of whether or not an offensive post is targeted, the best performing system for English achieves a macro averaged F1 score of 0.62, while the best performing system for Danish achieves a macro averaged F1 score of 0.73. Finally, in the detection of the target type in a targeted offensive post, the best performing system for English achieves a macro averaged F1 score of 0.56, and the best performing system for Danish achieves a macro averaged F1 score of 0.63. Our work for both the English and the Danish language captures the type and targets of offensive language, and present automatic methods for detecting different kinds of offensive language such as hate speech and cyberbullying.
1 Hydraulic and Sediment Handling Performance Assessment of Rani Jamara Kulariya Irrigation Project RJKIP by Conjunctive Use of 1 D and 3 D Simulation Models
Year: 2016

Many water resources related hydraulic structures have been suffering economical loss due to poor performance of the designed components. In depth study of the design must be done before implementation of such projects. The main objective of this study was to check the hydraulic capacity and behavior of the head/works of Rani Jamara Kulariya Irrigation Project under inflow conditions of high concentration of sediments together with the design discharge. Possible changes in design, without decrease of the performance, were checked, to see if the project could be economized. A one dimensional model HECRAS (version 4.1.0) was used for the major portion of the study and a three dimensional model SSIIM (version 1) was used in the analysis of the settling basin. The results were then compared. The results suggest that the flow capacity of the system could decrease to 71 m/s from the designed capacity of 80 m/s when checked under 'minimum sustained river water level' conditions at the head/works. The sediment simulation in HEC RAS showed that, all particles of size greater than or equal to 0.125 mm would be trapped in the settling basin. For intermittent flushing mechanism, the D50 of active particles downstream of the settling basin was found to be 0.030 mm whereas the size was found to be 0.035 mm for continuous flushing (with a flushing discharge of 20 m/s) Other scenarios of operations along with some design modifications to the settling basin were checked in HEC RAS. Further, the hydraulic and sediment studies were done for the settling basin using SSIIM by which the flow vectors, flow velocities and trap efficiency valuess were studied.
Prediction of drug intestinal absorption in human using the Ussing chamber system: A comparison of intestinal tissues from animals and humans
Venue: European journal of pharmaceutical sciences official journal of the European Federation for Pharmaceutical Sciences
Year: 2017

&NA; An adequate evaluation system for drug intestinal absorption is essential in the pharmaceutical industry. Previously, we established a novel prediction system of drug intestinal absorption in humans, using the mini Ussing chamber equipped with human intestinal tissues. In this system, the TI value was defined as the sum of drug amounts transported to the basal side component (Xcorr) and drug amounts accumulated in the tissue (Tcorr) which are normalized by AUC of a drug in the apical compartment, as an index for drug absorption. In order to apply this system to the screening assay, it is important to understand the differences between animal and human tissues in the intestinal absorption of drugs. In this study, the transport index (TI) values of three drugs, with different levels of membrane permeability, were determined to evaluate the rank order of drug absorbability in intestinal tissues from rats, dogs, and monkeys. The TI values in small intestinal tissues in rats and dogs showed a good correlation with those in humans. On the other hand, the correlation of TI values in monkeys was lower compared to rats and dogs. The rank order of the correlation coefficient between human and investigated animal tissues was as follows: dog (r2 0.978) rat (r2 0.955) and monkey (r2 0.620) TI values in large intestinal tissues from rats (r2 0.929) and dogs (r2 0.808) also showed a good correlation. The obtained TI values in small intestinal tissues in rats and dogs were well correlated with the fraction of drug absorbed (Fa) in humans. From these results, the mini Ussing chamber, equipped with intestinal tissues in rats and dogs, would be useful as a screening tool in the drug discovery stage. In addition, the obtained TI values can be used for the prediction of the Fa in humans.
The evolution of the mass metallicity relations from the VANDELS survey and the gaea semi analytic model
Year: 2021

In this work, we study the evolution of the mass metallicity relations (MZRs) as predicted by the GAlaxy Evolution and Assembly (GAEA) semi analytic model. We contrast these predictions with recent results from the VANDELS survey, that allows us to expand the accessible redshift range for the stellar MZR up to z 3.5. We complement our study by considering the evolution of the gas phase MZR in the same redshift range. We show that GAEA is able to reproduce the observed evolution of the z 3.5 gas phase MZR and z 0.7 stellar MZR, while it overpredicts the stellar metallicity at z 3.5. Furthermore, GAEA also reproduces the so called fundamental metallicity relation (FMR) between gas phase metallicity, stellar mass and star formation rate (SFR) In particular, the gas phase FMR in GAEA is already in place at z 5 and shows almost no evolution at lower redshift. GAEA predicts the existence of a stellar FMR, that is, however, characterized by a relevant redshift evolution, although its shape follows closely the gas phase FMR. We also report additional unsolved tensions between model and data: the overall normalization of the predicted MZR agrees with observations only within ~0.1 dex; the largest discrepancies are seen at z 3.5 where models tend to slightly overpredict observed metallicities; the slope of the predicted MZR at fixed SFR is too steep below a few M yr Finally, we provide model predictions for the evolution of the MZRs at higher redshifts, that would be useful in the context of future surveys, like those that will be performed with JWST.
La adaptacion teatral de 'Alicia en el pais de las maravillas' una propuesta didactica de doble recorrido
Year: 2015

Este articulo presenta diversas adaptaciones teatrales de la novela 'Alicia en el pais de las maravillas' de Lewis Carroll realizadas por estudiantes del Grado de Maestro de Educacion Primaria. El trabajo de adaptacion teatral de un texto narrativo es una propuesta didactica de doble recorrido: por un lado, permite a los estudiantes desplegar sus conocimientos sobre las caracteristicas que definen el teatro infantil y juvenil, el proceso de escritura y construccion del texto teatral y sus implicaciones escenograficas. Por otro, pueden desarrollar en el aula el trabajo de competencias y habilidades que son propias del genero teatral.
BEYOND STUDENT PERCEPTIONS: ISSUES OF INTERACTION, PRESENCE, AND PERFORMANCE IN AN ONLINE COURSE
Venue: Online Learning
Year: 2019

The research literature on Web based learning supports the assumption that interaction is important for a successful course, yet questions exist regarding the nature and extent of the interaction and its effects on student performance. Much of the research is based on student perceptions of the quality and quantity of their interactions and how much they have learned in an online course. The purpose of this study is to examine performance in an online course in relationship to student interaction and sense of presence in the course. Data on multiple independent (measures of interaction and presence) and dependent (measures of performance) variables were collected and subjected to analysis. An attempt was made to go beyond typical institutional performance measures such as grades and withdrawal rates and to examine measures specifically related to course objectives.
Combining and learning word embedding with WordNet for semantic relatedness and similarity measurement
Venue: J. Assoc. Inf. Sci. Technol.
Year: 2020

In this research, we propose 3 different approaches to measure the semantic relatedness between 2 words: (i) boost the performance of GloVe word embedding model via removing or transforming abnormal dimensions; (ii) linearly combine the information extracted from WordNet and word embeddings; and (iii) utilize word embedding and 12 linguistic information extracted from WordNet as features for Support Vector Regression. We conducted our experiments on 8 benchmark data sets, and computed Spearman correlations between the outputs of our methods and the ground truth. We report our results together with 3 state of the art approaches. The experimental results show that our method can outperform state of the art approaches in all the selected English benchmark data sets.