nils-herrmann/clean_scirepeval huggingface dataset:
Geology and geographysical analysis of slope failure using electrical resitivity survey at North Aring 6, Kelantan
Year: 2018

Aring 6 is located at the eastern part of Gua Musang district. This study aims to update geological map of study area at North Aring 6, Kelantan with a scale of 1:25,000. The research also focused on the second objective which is to investigate the slope failure at the study area using electrical resistivity method. Specific tools were used during the research for both geological and geophysical survey. Geological mapping survey is a survey of lithology, structural geology, stratigraphy and morphology of the study area and the rock samples were taken for petrographic analysis in the laboratory. Software ArcMap 10.2 is used in digitizing and updating the base map. The structural geology of the outcrops are measured and recorded using specific geological mapping tools. The availability of lithological data from these areas shows that the study area are consist of volcanic rock which are andesite, metasedimentary rock such as metashale and sedimentary rock such as shale, siltstone and limestone. Aring 6 is formed under several formations which are Aring Formation and Koh Formation. Geomorphology or the landfonns of the study area are mostly consisting of hilly area and mountainous area. Aring 6 is located between two main rivers which are Lebir River and Aring River. Aring 6 is populated by small population for palm oil estate workers. For geophysical study, there were 4 survey lines at two different location of landslide. Two lines were conducted horizontally for 200 meters cable wires using Wenner array and the other two were conducted vertically for 100 meters cable wire using pole dipole method.  Terrameter Lund System (LS) and its shipped tools were used in the study and the current were injected to the ground through 41 electrodes with the equivalent electrode spacing between them. Based on the geophysical survey, the landslide is occurred due to soil or rock material (weathered rock) and also the presence of water saturated sediment. The fracture zone is also one of the factors that can enhance the weathering process. The absence of vegetation cover may be the factor of landslide due to road cutting that gives exposure of the rock to weathering process.
Instructional Support for Teachers and Guided Feedback for Students in an Adaptive eLearning Environment
Venue: 2011 Eighth International Conference on Information Technology: New Generations
Year: 2011

Adaptive Tutorials are Intelligent Tutoring Systems (ITS) in which students typically interact with a simulation towards a task goal while being guided and remediated. Adaptive Tutorials can exhibit different kinds of feedback: students are given guidance based on their interaction, and teachers can also receive feedback on their own authoring choices to drive reflection and content adaptation. This paper will discuss different types of feedback which students are given within Adaptive Tutorials and their pedagogical utility. It will then look at providing teachers with timely support and feedback as well as post hoc solution traces, to improve student learning. We suggest a refined ITS design and development lifecycle to better support teachers in the design of good pedagogy. We provide this in the form of the Adaptive eLearning Platform, which is a tool to support teachers in the adaptation of tutorials and the creation of customized student feedback. This in turn can result in an improved student experience, with more guidance and better learning.
The U.S. Media's Effect on Public's Crime Expectations: A Cycle of Cultivation and Agenda Setting Theory
Year: 2018

This article discusses the effect of media on the American people's rising fear of crime despite a gradual fall in crime statistics in the U.S. The article employs Gerbners cultivation theory, the agenda setting theory and the social construction of reality to present the accumulative agenda effect model that explains how the U.S. public's perception of crime can surpass actual crime statistics through constant media exposure of crime news.
Name Disambiguation in Anonymized Graphs using Network Embedding
Venue: CIKM
Year: 2017

In real world, our DNA is unique but many people share names. This phenomenon often causes erroneous aggregation of documents of multiple persons who are namesake of one another. Such mistakes deteriorate the performance of document retrieval, web search, and more seriously, cause improper attribution of credit or blame in digital forensic. To resolve this issue, the name disambiguation task is designed which aims to partition the documents associated with a name reference such that each partition contains documents pertaining to a unique real life person. Existing solutions to this task substantially rely on feature engineering, such as biographical feature extraction, or construction of auxiliary features from Wikipedia. However, for many scenarios, such features may be costly to obtain or unavailable due to the risk of privacy violation. In this work, we propose a novel name disambiguation method. Our proposed method is non intrusive of privacy because instead of using attributes pertaining to a real life person, our method leverages only relational data in the form of anonymized graphs. In the methodological aspect, the proposed method uses a novel representation learning model to embed each document in a low dimensional vector space where name disambiguation can be solved by a hierarchical agglomerative clustering algorithm. Our experimental results demonstrate that the proposed method is significantly better than the existing name disambiguation methods working in a similar setting.
Study of the effect of Mn substitution on the electrical and dielectric behavior of Spinel structured materials
Venue: Journal of Materials Science: Materials in Electronics
Year: 2019

In this study, nanoparticles of Co1 xMnxCr2O4 (x 0, 0.3) were synthesized by sol gel method. The phase identification of the obtained samples was performed by X Ray diffraction proving their crystallization in the cubic structure with the Fd3 m\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin} 69pt} \begin{document}$Fd\bar{3}m$\end{document} space group. The sample purity and morphology were studied by energy dispersive of photon X and scanning electron microscopy. Optical properties were investigated by Fourier transform infrared spectroscopy and Raman scattering analysis. The impedance spectroscopy technique over the temperature range from 420 to 660 K was used in order to understand the relaxation process and the evolution of the electrical behavior in these materials. Accordingly, the experimental data of the real and imaginary parts of the impedance were fitted to the equivalent circuit Rg//C//CPE. As a matter of fact, the activation energies extracted from the imaginary part of the electrical modulus, the imaginary part of the impedance, from the grain resistance Rg and the electrical conductivity were closed and affirm a transformation of the electrical behavior confirmed by a decrease of the material resistance after substitution of Co cations by Mn ones. The study of the AC conductivity shows a Jonscher's behavior and a thermally activated conduction process, by CBH model, which become clearer after the substitution.
Channel Wise Dense Connection Graph Convolutional Network for Skeleton Based Action Recognition
Venue: 2020 25th International Conference on Pattern Recognition (ICPR)
Year: 2021

Skeleton based action recognition task has drawn much attention for many years. Graph Convolutional Network (GCN) has proved its effectiveness in this task. However, how to improve the model's robustness to different human actions and how to make effective use of features produced by the network are main topics needed to be further explored. Human actions are time series sequence, meaning that temporal information is a key factor to model the representation of data. The ranges of body parts involved in small actions (e.g. raise a glass or shake head) and big actions (e.g. walking or jumping) are diverse. It's crucial for the model to generate and utilize more features that can be adaptive to a wider range of actions. Furthermore, feature channels are specific with the action class, the model needs to weigh their importance and pay attention to more related ones. To address these problems, in this work, we propose a two stream channel wise dense connection GCN (2s CDGCN) Specifically, the skeleton data was extracted and processed into spatial and temporal information for better feature representation. A channel wise attention module was used to select and emphasize the more useful features generated by the network. Moreover, to ensure maximum information flow, dense connection was introduced to the network structure, which enables the network to reuse the skeleton features and generate more information adaptive and related to different human actions. Our model has shown its ability to improve the accuracy of human action recognition task on two large datasets, NTU RGB+D and Kinetics. Extensive evaluations were conducted to prove the effectiveness of our model.
Rapid Systematic Review: The Impact of Social Isolation and Loneliness on the Mental Health of Children and Adolescents in the Context of COVID 19
Venue: Journal of the American Academy of Child Adolescent Psychiatry
Year: 2020

Disease containment of COVID 19 has necessitated widespread social isolation. We aimed to establish what is known about how loneliness and disease containment measures impact on the mental health in children and adolescents.  For this rapid review, we searched MEDLINE, PSYCHINFO, and Web of Science for articles published between 01/01/1946 and 03/29/2020. 20% of articles were double screened using pre defined criteria and 20% of data was double extracted for quality assurance.  83 articles (80 studies) met inclusion criteria. Of these, 63 studies reported on the impact of social isolation and loneliness on the mental health of previously healthy children and adolescents (n=51,576; mean age 15.3) 61 studies were observational; 18 were longitudinal and 43 cross sectional studies assessing self reported loneliness in healthy children and adolescents. One of these studies was a retrospective investigation after a pandemic. Two studies evaluated interventions. Studies had a high risk of bias although longitudinal studies were of better methodological quality. Social isolation and loneliness increased the risk of depression, and possibly anxiety at the time loneliness was measured and between 0.25 to 9 years later. Duration of loneliness was more strongly correlated with mental health symptoms than intensity of loneliness.  Children and adolescents are probably more likely to experience high rates of depression and probably anxiety during and after enforced isolation ends. This may increase as enforced isolation continues. Clinical services should offer preventative support and early intervention where possible and be prepared for an increase in mental health problems.
Speech Emotion Classification Using Attention Based LSTM
Venue: IEEE/ACM Transactions on Audio, Speech, and Language Processing
Year: 2019

Automatic speech emotion recognition has been a research hotspot in the field of human computer interaction over the past decade. However, due to the lack of research on the inherent temporal relationship of the speech waveform, the current recognition accuracy needs improvement. To make full use of the difference of emotional saturation between time frames, a novel method is proposed for speech recognition using frame level speech features combined with attention based long short term memory (LSTM) recurrent neural networks. Frame level speech features were extracted from waveform to replace traditional statistical features, which could preserve the timing relations in the original speech through the sequence of frames. To distinguish emotional saturation in different frames, two improvement strategies are proposed for LSTM based on the attention mechanism: first, the algorithm reduces the computational complexity by modifying the forgetting gate of traditional LSTM without sacrificing performance and second, in the final output of the LSTM, an attention mechanism is applied to both the time and the feature dimension to obtain the information related to the task, rather than using the output from the last iteration of the traditional algorithm. Extensive experiments on the CASIA, eNTERFACE, and GEMEP emotion corpora demonstrate that the performance of the proposed approach is able to outperform the state of the art algorithms reported to date.
EFFECT OF GA3 ON IN VIVO SEED GERMINATION OF AN ECONOMICALLY IMPORTANT FOREST TREE GMELINA ARBOREA ROXB.
Year: 2012

The species Gmelina arborea is an economically important forest tree The wood of this species is very valuable for making furniture, general carpentry and packages and also used for constructions in place of teak wood. This plant has also medicinal value in Ayurvedic formulations for treating various diseases. In the present investigation, G.arborea seeds were treated with 500 3000ppm and 1 4% GA3 by giving different time intervals (12 72hrs) The percentage of seed germination has been found to be enhanced gradually from 500 1000ppm and 1 2% GA3 treatment, later gradually decreased from 1000 3000ppm and 2 4% GA3 treatments. Maximum percentage of seed germination (85% was observed at 1000ppm for 36 hrs GA3 treatment in seeds of G.arborea. The germinated seedlings after GA3 treatment were transfered to research field. This protocol is useful in rapid regeneration and multiplication of the species.
A Proposed Ranked Clustering Approach for Unstructured Data from Dataspace using VSM
Venue: 2020 20th International Conference on Computational Science and Its Applications (ICCSA)
Year: 2020

Now a day's huge amount of data is available in an unstructured format, users need useful information related to query or phrase that has been written in search engines. Search engine rank and indexed the data as per the nature of data and documents like structure (SQL data) unstructured (e books, PPT, text, Streamed Data, songs, movies, research data) or semi structured (XML) Indexing and ranking is the main issue in Information retrieval system to retrieve the appropriate results of the query from Dataspace due to heterogeneity. Indexing of unstructured data can reduce the processing time of query for fast retrieval of data. This paper proposed a ranked cluster approach using Modified cosine similarity and Vector space model (VSM) which may be replaced with the traditional cosine similarity approach for better results on the dataset. Here we applying the vector space model, Document term matrix, and TF IDF weights for indexing and ranking of the heterogeneous data. Consequently, the documents which match the query the most are displayed first and ranking of the documents is done according to similarity with the query of unstructured data over Dataspace.
Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes
Venue: Briefings Bioinform.
Year: 2019

Metagenomic samples are snapshots of complex ecosystems at work. They comprise hundreds of known and unknown species, contain multiple strain variants and vary greatly within and across environments. Many microbes found in microbial communities are not easily grown in culture making their DNA sequence our only clue into their evolutionary history and biological function. Metagenomic assembly is a computational process aimed at reconstructing genes and genomes from metagenomic mixtures. Current methods have made significant strides in reconstructing DNA segments comprising operons, tandem gene arrays and syntenic blocks. Shorter, higher throughput sequencing technologies have become the de facto standard in the field. Sequencers are now able to generate billions of short reads in only a few days. Multiple metagenomic assembly strategies, pipelines and assemblers have appeared in recent years. Owing to the inherent complexity of metagenome assembly, regardless of the assembly algorithm and sequencing method, metagenome assemblies contain errors. Recent developments in assembly validation tools have played a pivotal role in improving metagenomics assemblers. Here, we survey recent progress in the field of metagenomic assembly, provide an overview of key approaches for genomic and metagenomic assembly validation and demonstrate the insights that can be derived from assemblies through the use of assembly validation strategies. We also discuss the potential for impact of long read technologies in metagenomics. We conclude with a discussion of future challenges and opportunities in the field of metagenomic assembly and validation.
Diseno de estrategias de marketing tradicional y digital dirigido a las pymes de la ciudad de Guayaquil en el ano 2016
Year: 2016

This work was done in order to provide tools that enable the development of SMEs in the city of Guayaquil. Today it is clearly evident in every business, whether large or small, that the use or misuse of marketing strategies can help favorably in its economic performance, as well as improper use of them can lead to failure in attracting customers and thus to increased sales. The detailed below work will appreciate the analysis of surveys of a representative sample of the city of Guayaquil, where the tastes and preferences of consumers when making a purchase will be analyzed further may validate the different types of buyers that exist today, all this in order to help SMEs in the evolution of their business. Furthermore, this paper proposes a web site aimed at SMEs in the city of Guayaquil, where they can view marketing strategies traditional and digital that will allow a better understanding of actual consumer behavior and how to respond to the needs of current and future customers, a space where they can also share their experiences resulting in obtaining benefits for current and future entrepreneurs. Keyword: digital marketing, traditional marketing.
On the Difference between Creative Industry and Cultural Industry
Year: 2008

Cultural industry is modern while creative industry is postmodern. Cultural industry belongs to industrial economy and creative industry belongs to knowledge economy. Cultural industry emerged under global standardization whereas creative industry emerged under global diversification. The production and marketing of cultural industry is offline while that of creative industry is online. Cultural industry on machine replication whereas creative industry on digital replication. The production of cultural industry is centralized and that of creative industry is decentralized. Cultural industry is based on mass consumption while creative industry on group consumption. Cultural industry is able to develop spontaneously whereas creative industry needs support and advocating. In order to develop Chinese cultural and creative industries,we should follow a development path of integrated modernization.
A novel synthesis of V10O24*10H2O nanoribbons and their capacitive properties in aqueous electrolytes
Year: 2016

10H 2 O nanoribbons were synthesized by a simple, rapid and high yield route with starting from cheap V 2 O 5 and glucose, and their capacitive properties were firstly investigated. The as prepared samples were characterized by XRD, XPS, TG and SEM. The effect of various factors (such as aqueous electrolyte, working voltage and current density) on the capacitive behavior of V 10 O 24 *10H 2 O electrode was analyzed by cyclic voltammetry and galvanostatic charge/discharge test. The best capacitive properties were achieved in 1 M KNO 3 solution at the working voltage of 0.3 to 0.7 V. The highest initial specific capacitance was 177.5 F g 1 at the current density of 200 mA g 1 The capacity retention was 93.2% or 85.3% after 1000 or 2000 cycles. Furthermore, the cyclic stability of V 10 O 24 *10H 2 O was excellent at the high current density of 800 mA g 1
Progress on the Use of an Information Technology Based Method in Low Waste Technologies for Aluminum Production
Venue: Metallurgist
Year: 2016

The use of information technology based methods is substantiated and a method based on systems analysis is developed with the use of computer models to optimize the conditions and parameters of the operations in aluminum production. The method of minimizing the Gibbs free energy of a thermodynamic system is used to create an algorithm which determines the order of metastable equilibrium of the components in the production process and the dynamics of the mobile heterogeneous phases. The physicochemical laws that govern structural changes in the composition of the condensed phases and the equilibrium phases are examined in relation to the cryolite ratio (NaF/AlF3) The results make it possible to correct the cryolitealumina melt (electrolyte) and predict the volume of emissions and waste products. A method of measuring and stabilizing the characteristic temperatures is also developed. The optimum conditions and parameters for the use of fluoride salts (fluoroaluminates) and the recycling of fluorine compounds and impurities in "dry" gas cleaning and electrolysis are determined. Fluorine bearing wastes are grouped in three different classes based on the proportions of the main phases and the impurities that are present. Thermochemical methods are proposed for their waste free processing to obtain additional products and process additives that can serve as valuable components in the production of alumina and aluminum. Improved technologies for cleaning gases and recycling wastes can help make more thorough use of raw materials and reduce emissions of harmful substances during aluminum manufacturing.
A COMPARISON OF TWO CIRCUIT APPLICATIONS FOR IMPLEMENTATION OF COARSE PARTICLE FLOTATION
Year: 2020

The use of fluidized beds to enhance the flotation efficiency of coarse particles has been practised industrially using Eriez' HydroFloat(r) separator in phosphate and potash for many years and has recently been successfully extended to sulfide minerals. This promising technology will recover "lost" coarse metal units, which can be 5 10% of the metal units contained in the mill feed. In the "tailings scavenging" operating philosophy, the HydroFloat(r) will enhance production revenues with a small increase to capital and operating costs. This application allows the feed to the mill circuit to be incrementally increased, with an increase in the average particle size reporting to the flotation circuit, using the HydroFloat as a "back stop." Although highly profitable, this configuration does not enable other "green" benefits, such as reductions in energy, conventional flotation capacity, water consumption and the amount of final waste stored in conventional tailing facilities. These additional benefits are possible by considering a "coarse gangue rejection" operating philosophy. Where is the best flowsheet location to add a coarse particle flotation (CPF) unit, and what will a CPF optimized flow sheet look like? In this paper we will generically consider both of these questions. To illustrate, we will present test work and standard mineral processing calculations to show the benefits of two different CPF installations taking advantage of the same ore body and mill product.