nils-herrmann/clean_scirepeval huggingface dataset:
Selective ensemble learning method for belief rule base classification system based on PAES
Venue: Big Data Min. Anal.
Year: 2019

Traditional Belief Rule Based (BRB) ensemble learning methods integrate all of the trained sub BRB systems to obtain better results than a single belief rule based system. However, as the number of BRB systems participating in ensemble learning increases, a large amount of redundant sub BRB systems are generated because of the diminishing difference between subsystems. This drastically decreases the prediction speed and increases the storage requirements for BRB systems. In order to solve these problems, this paper proposes BRBCS PAES: a selective ensemble learning approach for BRB Classification Systems (BRBCS) based on Pareto Archived Evolutionary Strategy (PAES) multi objective optimization. This system employs the improved Bagging algorithm to train the base classifier. For the purpose of increasing the degree of difference in the integration of the base classifier, the training set is constructed by the repeated sampling of data. In the base classifier selection stage, the trained base classifier is binary coded, and the number of base classifiers participating in integration and generalization error of the base classifier is used as the objective function for multi objective optimization. Finally, the elite retention strategy and the adaptive mesh algorithm are adopted to produce the PAES optimal solution set. Three experimental studies on classification problems are performed to verify the effectiveness of the proposed method. The comparison results demonstrate that the proposed method can effectively reduce the number of base classifiers participating in the integration and improve the accuracy of BRBCS.
Creative oriented personality, creativity improvement, and innovation level enhancement
Year: 2012

This study is to provide a clear and validity way for the higher education system to enhance the innovation level and performance by confirming the creative oriented personality as a point of reference for potentially considering creativity in admitting future college students and helping improve existing students' creativity. The value is that it is the first research to confirm the creative oriented personality, thereby providing insight that is highly necessary if today's universities is to survive. The contribution is its comprehensive and directive type discussion of how innovation level of the university can be enhanced through both the admission of creative oriented students and the improvement of existing students' creativity.
Devoiler les reseaux locaux d'innovation dans les grands perimetres irrigues
Year: 2011

The design and diffusion of technical innovations in large scale irrigation schemes in Morocco have generally been understood as necessarily stemming from centralized public policies. This situation tends to mask farmers' local initiatives. We analyzed local networks for innovation and coordination practices among local actors, in the case of the introduction of citrus plantations in an agrarian reform cooperative of the Gharb irrigation scheme. These networks and practices appeared as the motor for innovation around which revolved social and technical stakes and an issue of identity construction. Revealing these dynamics provides guidance for renewing the approaches to support farmers and more generally rural communities.
PANDANGAN HUKUM EKONOMI ISLAM TERHADAP INVESTASIJUAL BELI MATA UANG ASING
Year: 2016

Secara umum, investasi adalah kegiatan untuk memperoleh pendapatan atau menambah nilai investasi dengan cara menanamkan dana dalam jumlah tertentu pada sebuah atau lebih bisnis atau aset. Investasi dollar adalah sebuah produk investasi pada mata uang asing dollar. Sebetulnya jenis investasi ini mirip dengan bentuk tabungan, yang membedakannya adalah mata uangnya saja, yaitu menggunakan mata uang dollar USD yang cenderung lebih kuat nilainya dibandingkan mata uang rupiah. Dalam hukum Islam, kegiatan berinvestasi dikategorikan sebagai kegiatan ekonomi yang termasuk dalam kegiatan muamalah yaitu suatu kegiatan yang mengatur hubungan antar manusia. Sementara itu menurut kaidah Fikih, hukum asal kegiatan muamalah itu adalah mubah yang berarti semua kegiatan dalam hubungan antar manusia adalah mubah (boleh) kecuali yang memang jelas ada larangannya (haram)
Microbes take center stage on the coral reef
Year: 2011

Coral reefs are the most diverse of all marine ecosystems, but most reef scientists have traditionally ignored the most diverse group of organisms on reefs, namely the microbes. In Coral Reefs in the Microbial Seas, however, microbes get their much deserved place on center stage, in a delightful and informative book that combines cutting edge science with masterful storytelling.
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
Venue: EURASIP J. Image Video Process.
Year: 2017

The Adaboost (Freund and Schapire,  1995) chooses a good set of weak classifiers in rounds. On each round, it chooses the optimal classifier (optimal feature and its threshold value) by minimizing the weighted error of classification. It also reweights training data so that the next round would focus on data that are difficult to classify. When determining the optimal feature and its threshold value, a process of classification is employed. The involved process of classification usually performs a hard decision (Viola and Jones, Rapid object detection using a boosted cascade of simple features, 2001; Joo et al. Sci. World J 2014: 1 17, 2014; Friedman et al.  2000) In this paper, we extend the process of classification to a soft fuzzy decision. We believe this extension could allow some flexibility to the Adaboost algorithm as well as a good performance especially when the size of a training data set is not large enough. The Adaboost algorithm, in general, assigns a same weight to each training datum on the first round of a boosting process (Freund and Schapire,  1995) We propose to assign different initial weights based on some statistical properties of involved features. In experimental results, we show that the proposed method yields higher performances compared to other ones.
Dual motor Master slave Cross coupling Synchronization Control of Winch Considering Parameters Variations
Venue: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Year: 2020

There are two motors used in the studied ocean winch, a reel motor and a lead screw motor. This paper focuses on the synchronization control of the two motors. Firstly, the mathematical model of the winch hydraulic transmission system is established, and the approximate relation between the model parameters and the cable storage state is deduced by using interpolation method. Then, combined with the variation rule of the model parameters, an adaptive IMC PI(internal model control proportional integral) regulator is designed to control the speed of the reel motor. The parameters of the adaptive IMC PI regulator are adjusted according to the cable storage state on the reel. The characteristics of master slave control and cross coupling control are analyzed, and a new master slave cross coupling control method applicable for dual motor synchronization control is proposed. The new method is realized on the basis of master slave control. In the dual motor master slave cross coupling synchronization control system, the synchronization angle error is fed back to the master motor control loop, so that the system has perfect synchronization control performance during start up and running under disturbance. Finally, the validities of the proposed methods are verified by several simulation results.
Resiliency under Strategic Foresight: The effects of Cybersecurity Management and Enterprise Risk Management Alignment
Venue: 2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
Year: 2019

Rethinking organisations' risk resiliency against cyber risks has been found both successful and lacking because it is more challenging when organisations mirror past siloed approaches. In pursuit of effectiveness and resiliency, this paper examines the antecedents of Cybersecurity Management (CsM) to explore how siloed risk controls influence business effectiveness. At the same time, it explores the additional strengths in enhancing CsM through alignment with Enterprise Risk Management (ERM) to ensure that handling risk is proactively, strategically, and comprehensively managed. To explore the problem, this research commenced by considering both secondary and primary qualitative data to determine the current state of strategic foresight of organisations. The authors found evidence of a granular legacy, stranded in different security domains and siloed strategic approaches.
A robotic orthosis with a cable differential mechanism
Venue: 2017 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2017

Robotic orthoses have potential to assist people having difficulty in walking due to their neurological disorders. However, it is important to design lighter orthoses since additional weight and inertia from the device cause discomfort to the wearer and even instability during walking in some extreme cases. To address this problem, a robotic orthosis with a cable differential mechanism is proposed in this paper. It is designed to assist stroke patients with hemiplegia. It has 2 active degrees of freedom at the hip and knee joints and one passive degree of freedom at the ankle. A cable differential mechanism is used to transmit the torques generated by the actuators, which are located near the pelvis of the wearer to reduce the inertial effect. The cable differential mechanism allows for the actuators to share the load with each other, which results in decrease of the maximum required torques by the actuators. Therefore, smaller actuators are possible to be used for further reduction of the weight. The proposed robotic orthosis with a cable differential mechanism, which is called "COWALK Mobile 2," is implemented and evaluated.
Examining the role of emotional intelligence and political skill to educational leadership and their effects to teachers' job satisfaction
Year: 2015

The purpose of this paper is to examine whether emotional intelligence and political skill (PS) of school principals influence the way they exercise leadership and the job satisfaction of their teachers.  As regards to the methodology, quantitative research methods were used to conduct the research. Specifically, the data analysis was performed with the statistical program SPSS and the EQS program for the development of structural equation models. Participants were 182 principals of Cyprus public elementary schools and 910 teachers.  The findings indicated that the emotional intelligence and PS of school principals are related to the educational leadership styles they use and to teachers' job satisfaction. Such a relationship highlights the social skills of principals as an important area for further research.  Future research may benefit from developing and validating an investigating tool which rates school principals' E.
The pharmacokinetics of Biolimus A9 after elution from the BioMatrix II stent in patients with coronary artery disease: The Stealth PK Study
Venue: European Journal of Clinical Pharmacology
Year: 2010

ObjectivesThis prospective, open label multicenter study was conducted to assess the pharmacokinetics of Biolimus A9 after elution from BioMatrix II coronary stents. Recent clinical trials have demonstrated the efficacy and safety of Biolimus A9 eluted from different stent platforms. To date, the pharmacokinetics of Biolimus A9 in patients following the deployment of BioMatrix II stents has not yet been studiedMethodsBioMatrix II stents were implanted into 27 patients with coronary artery disease. The primary endpoints of the study were the systemic concentrations of Biolimus A9 after 28 days and 6 months as measured using a sensitive validated liquid chromatography tandem mass spectrometry assay.ResultsThe highest measured blood concentration at any time point was 394 pg/mL. At 28 days and 6 months following stent placement, 51.8 and 100% of patients, respectively, had Biolimus A9 concentrations <10 pg/mL. After 9 months, 100% of the patients were free of major cardiac adverse events (MACE) There was no Biolimus A9 toxicity, no cardiac or non cardiac deaths, no myocardial infarctions, nor target vessel or target lesion revascularizations during the 9 months of follow up. No case of acute, subacute, or late stent thrombosis was detected.ConclusionsCompared to other drug eluting stents, such as Cypher, BioMatrix II results in relatively low systemic exposure, which may be explained by the ablominal coating of the Biomatrix II stent in combination with Biolimus A9's high lipophilicity.
Deep Learning Based Single Image Super resolution: A Survey
Venue: Int. J. Autom. Comput.
Year: 2019

Single image super resolution has attracted increasing attention and has a wide range of applications in satellite imaging, medical imaging, computer vision, security surveillance imaging, remote sensing, objection detection, and recognition. Recently, deep learning techniques have emerged and blossomed, producing "the state of the art" in many domains. Due to their capability in feature extraction and mapping, it is very helpful to predict high frequency details lost in low resolution images. In this paper, we give an overview of recent advances in deep learning based models and methods that have been applied to single image super resolution tasks. We also summarize, compare and discuss various models from the past and present for comprehensive understanding and finally provide open problems and possible directions for future research.
A review on phytochemical, biological screening and importance of Wild Apricot (Prunus armeniaca L.
Venue: Oriental Pharmacy and Experimental Medicine
Year: 2015

Wild apricot (Prunus armeniaca L. is an important fruit tree species found in temperate regions of Himachal Pradesh and Uttarakhand states of India at an altitude up to 2500 3000 msl. From time immemorial P. armeniaca L. has been used in folk medicine as a remedy for various diseases. Apricot seed oil has been used as biodiesel and oil cake as organic manure. The plant is rich in sugars, mono and polysaccharides, polyphenols, fatty acids, sterol derivatives, carotenoids, cynogenic glucosides and volatile compounds. Polyphenols are abundant micronutrients in the human diet, and evidence for their role in the prevention of degenerative diseases such as cancer and cardiovascular diseases is emerging. Cyanogenic glycosides responsible for a bitter taste of apricot seeds and these seeds cause some degree of intoxication primarily on nervous system and thyroid. P. armeniaca L. has also been investigated for various biological activities such as antimicrobial, antioxidant, hepatoprotective, antinociceptive, antiinflammatory, antimutagenic, inhibitory activity against several enzymes. Among them the antimicrobial and antioxidant potential has been of much exploration and were proved to be highly efficacious under in vitro conditions. In the present review, the antioxidant properties of P. armeniaca L. and its potential use as natural dietary supplement has been discussed. We have also thrown light on the phytochemistry and biological activity reports published on the species worldwide.
Survey On: Theory Online Examination with Short Text Matching
Year: 2015

In traditional Online Examination System, only objective type questions are assessed and according to that marks are given to the student. However, this technique lacks the capability of evaluating descriptive answers. In university examinations, there are many types of question included for evaluation of the students. Therefore, the automated system must be capable of evaluating the descriptive answers. The online examination system checks the student answer by matching the answer with predefined set of answer. The predefined answers are saved on the server and evaluation is done automatically using the automatic assessment tools. Here the machine learning approach is used to solve this problem using text mining. Measuring the similarity between, sentences, words, documents and paragraphs is an important component in various tasks such as text summarization, information retrieval, automatic essay scoring, document clustering, and machine translation and word sense disambiguation. In this system JSON is used for transferring data between web application and server, serving as an alternative to XML.
Speed of Gravitation and Electromagnetic Waves through the Dark Energy of Intergalactic Space and Its Implications of a Unified Theory
Year: 2018

The recent finding that gravitational waves (GW170817) traveled at the same speed as electromagnetic (EM) waves (GRB 170817A) from a binary neutron star merger does not necessarily mean that they traveled throughout their journey at speed c. Some recent works by the author (2015) ; (2016) 7, 1829 1844; (2017) 8, 622 635 show that the diminished brightness of Type Ia supernovae (SNe Ia) can be explained by assuming that dark energy, instead of having a negative pressure, has an index of refraction n, causing the speed of light through intergalactic space (IGS) to be reduced to c/n, with n1.5. It follows that GWs (not considered in the previous works) would also travel with speed c/n through IGS. However, speed of GWs and EMWs within galaxies themselves is c. A brief review of the model is given, together with other predictions, e.g. new values for the Hubble constant and age of the universe, and necessary absence of correlation of neutrinos with gamma ray bursts (GRBs) in agreement with numerous searches. In the previous works, there were implications of a unified theory. If the model holds, since GWs would experience the same speed reduction as EMWs, this would further support unification. An improved falsification methodology for a previously proposed astronomical test based on discordant redshifts is given.
Spatial Modelling Tools to Integrate Public Health and Environmental Science, Illustrated with Infectious Cryptosporidiosis
Venue: International journal of environmental research and public health
Year: 2016

Contemporary spatial modelling tools can help examine how environmental exposures such as climate and land use together with socio economic factors sustain infectious disease transmission in humans. Spatial methods can account for interactions across global and local scales, geographic clustering and continuity of the exposure surface, key characteristics of many environmental influences. Using cryptosporidiosis as an example, this review illustrates how, in resource rich settings, spatial tools have been used to inform targeted intervention strategies and forecast future disease risk with scenarios of environmental change. When used in conjunction with molecular studies, they have helped determine location specific infection sources and environmental transmission pathways. There is considerable scope for such methods to be used to identify data/infrastructure gaps and establish a baseline of disease burden in resource limited settings. Spatial methods can help integrate public health and environmental science by identifying the linkages between the physical and socio economic environment and health outcomes. Understanding the environmental and social context for disease spread is important for assessing the public health implications of projected environmental change.
Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media
Year: 2020

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine learning algorithms. In this paper, we have reviewed algorithms for automatic cyberbullying detection in Arabic of machine learning, and after comparing the highest accuracy of these classifications we will propose the techniques Ridge Regression (RR) and Logistic Regression (LR) which achieved the highest accuracy between the various techniques applied in the automatic cyberbullying detection in English and between the techniques that was used in the sentiment analysis in Arabic text, The purpose of this work is applying these techniques for detecting cyberbullying in Arabic.
The Relationship between Vocabulary Learning Strategies and Vocabulary of Learners of Turkish as Foreign or Second Language.
Year: 2018

The aim of this study is to find out which vocabulary learning strategies learners of Turkish in Turkey and abroad use, to compare and contrast vocabulary learning strategies used by these two group of learners, to determine whether learners' use of vocabulary learning strategies are influenced by a set of variables including age, gender, language level, and another foreign language learnt, and to identify the relationship, if any, between vocabulary and the use of vocabulary learning strategies. This study used a relational screening model that allows drawing comparisons and correlations. The data were collected in 2017 2018 using the Foreign Language Vocabulary Learning Strategies Scale developed by Kocaman and Kizilkaya Cumaoglu (2014) and vocabulary tests designed by the researcher considering different language levels. The sample consisted of 182 learners of Turkish in Turkey and abroad. In the analysis of the data, parametric and nonparametric tests were used together on the basis of the normality distribution of the data. The data were analyzed using the t test, one way analysis of variance (ANOVA) the Tukey's test, the Mann Whitney U test, and correlation analysis. The analysis results showed that the mean frequency of strategy use was medium, the type and frequency of strategies used by the learners varied according to language levels, gender and the place of learning Turkish (in Turkey or abroad) had a limited and statistically insignificant effect on the use of strategies, previous learning of another foreign or second language has an effect on the use of vocabulary learning strategy, the place of learning led to a significant variation in vocabulary achievement, and there was a strong, positive and significant correlation between the use of vocabulary learning strategies and vocabulary.
A Risk Evaluation of Password Management Strategies
Venue: 2020 IEEE International Conference on Consumer Electronics Taiwan (ICCE Taiwan)
Year: 2020

This paper presents how to analyze risks of the password management quantitatively using a mathematical model. Passwords at online services are not always managed properly. There is growing concern about illegal access. We need to spread good security policies and raise awareness for those services users to manage passwords properly. To campaign effectively, we analyze risks of the security policies quantitatively.
Admission Control for 5G Network Slicing based on (Deep) Reinforcement Learning
Year: 2021

Network Slicing is a promising technology for providing customized logical and virtualized networks for the industry's vertical segments.This paper proposes SARA and DSARA for the performance of admission control and resource allocation for network slice requests of eMBB, URLLC, and MIoT type in the 5G core network. SARA introduced a Q learning based algorithm and DSARA a DQN based algorithm to select the most profitable requests from a set that arrived in given time windows. These algorithms are model free, meaning they do not make assumptions about the substrate network as do optimization based approaches.