nils-herrmann/clean_scirepeval huggingface dataset:
Research on a Hybrid Approach for Web Usage Mining
Year: 2016

With the large number of companies using the Internet to distribute and collect information, knowledge discovery on the web or web mining has become an important research area. Basically data mining techniques are used in web mining. Web mining is extended version of data mining. Data mining is work upon Off Line whereas Web mining is work upon OnLine. In data mining data is stored in (database) data warehouse and in web mining data is stored in server database web log. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such a way that they can be accessed by different users efficiently. Therefore, the application of data mining techniques on the Web is now the focus of an increasing number of researchers. Several data mining methods are used to discover the hidden information in the Web. However, Web mining does not only mean applying data mining techniques to the data stored in the Web. The algorithms have to be modified such that they better suit the demands of the Web. Web mining can be divided into three areas, namely web content mining, web structure mining and web usage mining (also called web log mining).Web content mining focuses on discovery of information stored on the Internet, i.e. the various search engines. Web content mining is the process of extracting useful information from the contents of web documents. Content data is the collection of facts a web page is designed to contain. It may consist of text, images, audio, video, or structured records such as lists and tables. Application of text mining to web content has been the most widely researched. Issues addressed in text mining include topic discovery and tracking, extracting association patterns, clustering of web documents and classification of web pages. Research activities on this topic have drawn heavily on techniques developed in other disciplines such as Information Retrieval (IR) and Natural Language Processing (NLP) While there exists a significant body of work in extracting knowledge from images in the fields of image processing and computer vision, the application of these techniques to web content mining has been limited. Web structure mining can be used when improving the structural design of a website. The structure of a typical web graph consists of web pages as nodes, and hyperlinks as edges connecting related pages. Web structure mining is the process of discovering structure information from the web. This can be further divided into two kinds based on the kind of structure information used.
Investigacion y analisis de sistemas de recomendaciones basados en reglas y Fuzzy para el control de la diabetes sobre articulos cientificos y sistemas existentes
Year: 2019

Diabetes is a chronic disease that affects a large number of population around the world, it is important that people who suffer this illness is informed about it to be able to carry out a better control of it. Because there is a large amount of information on internet, the search for valuable and accurate information can be a difficult task, recommender systems are software tools that provide support to patients and doctors by filtering available information and give personalized recommendations. Rule Based Recommendation systems and fuzzy aimed to offer patients with diabetes reliable recommendations that fit their profiles and help control their disease and provide doctors with support for decision making in the treatment of their patients.
Intelligent Controller for 7 DOF Manipulator Based upon Virtual Reality Model
Venue: 2019 12th International Conference on Developments in eSystems Engineering (DeSE)
Year: 2019

A robot is an option to improve productivity in industrial automation. Automated manipulators have been applied to hazardous environments and routine manufacturing functions. Because automated manipulators are nonlinear dynamic systems with a high degree of uncertainty, it is difficult to obtain precise dynamic equations to design control laws. VR is an important part of applications in industrial, medicine, statistics, and other areas where 3D object can help understand complex systems. In this application, interaction with the virtual system can be enhanced by a sense of touch, and rapid feedback can be used to apply representative forces from the virtual environment to a human user. The ANFIS approach has become one of the main areas of interest because it gains the benefits of neural networks (NN) as well as mysterious logic systems and eliminates individual defects by combining them with common features. The artificial neural network (ANN) has injected new momentum into the mysterious literature. ANN can be used as a universal learning model for any smooth parameter models, including the mysterious inference system. The mixed learning base used to combine the gradient ratios technique and the Least Square Estimator (LSE) to train the ANFIS network for a particular problem. This chapter introduces the design of the ANFIS for the 7 DOF manipulator model built by the VR environment and simulates this model by connecting Matlab Simulink with VR to execute commands produced by the system based ANFIS console. Satisfactory results are obtained in simulations which improve the design as a basic application of this control design.
Pelatihan Pelatihan Digital Marketing Strategy Untuk Mencapai Kemandirian Masyarakat
Venue: Dinamisia Jurnal Pengabdian Kepada Masyarakat
Year: 2019

In Gunungsari Village, there is an awful lot of unemployed who need jobs to fullfill the cost of daily living. Unemployment was dominated by teenagers graduate from SMP and SMA with limited skill. The potential things that can be found in the village of Gunungsari, that was the number of Roses has been wasted when the harvest due to no consumer that takes it. This can be used as a source of potential income for unemployment by means of producing the rose water drink. Training to utilize the rose as a drink has been done to increase the skill of unemployment. To market products that have been produced, given the devotion with partners of training Digital Marketing Strategy (DMS) The results of training namely creation of perpetrators of rose water beverage production partners who divided his responsibilities to become producers, marketing, accounting and finance. The partners also had 4 accounts online shop as a result of the training of DMS. The partners also had a draft financial bookkeeping production. Training of DMS, through the manufacture of drinks rose water was able to add skill partners i.e. skill production, computing, and marketing. In addition, partners are able to follow the development of the technology through the operation of the online shop. The partners have also been able to obtain income from the proceeds of the production that resulted in a partner referred to as society.  Digital Marketing Strategy, Independence Society, The Rose Water Drink Abstrak Di Desa Gunungsari terdapat banyak sekali pengangguran yang membutuhkan lapangan pekerjaan untuk mencukupi biaya hidup sehari hari. Pengangguran didominasi oleh remaja lulusan SMP dan SMA dengan skill yang terbatas. Potensi yang dapat terdapat di Desa Gunungsari yaitu banyaknya bunga mawar yang terbuang saat panen akibat tidak adanya konsumen atau tengkulak yang mengambil. Potensi tersebut dapat dijadikan sumber penghasilan bagi pengangguran dengan cara memanfaatkannya menjadi minuman air mawar. Kegiatan pelatihan pemanfaatan bunga mawar sebagai minuman dengan ekstrak bunga mawar dilakukan untuk menambah skill pengangguran. Untuk memasarkan produk yang telah dihasilkan, mitra pengabdian dibekali pula dengan pelatihan Digital Marketing Strategy (DMS) Hasil pelatihan yaitu terciptanya pelaku produksi minuman air mawar dari mitra yang terbagi tanggung jawabnya menjadi produsen, marketing, dan pembukuan keuangan. Mitra juga mempunyai 3 akun online shop sebagai hasil pelatihan DMS. Mitra juga telah mempunyai draft pembukuan keuangan produksi. Pelatihan DMS,melalui pembuatan minuman air mawar mampu menambah skill mitra yaitu skill produksi, komputasi, dan pemasaran. Selain itu, mitra mampu mengikuti perkembangan teknologi melalui pengoperasian online shop. Mitra juga telah mampu mendapatkan penghasilan dari hasil produksi yang mengakibatkan mitra disebut sebagai masyarakat yang mandiri. Kata kunci Digital Marketing Strategy, Kemandirian Masyarakat, Minuman Air Mawar
Strengthening of Reinforced Concrete T Beams with externally bonded FRP Sheets to improve Shear Strength
Year: 2020

The rehabilitation of existing reinforced concrete (RC) bridges and building becomes necessary due to ageing, corrosion of steel reinforcement, defects in construction/design, demand in the increased service loads, and damage in case of seismic events and improvement in the design guidelines. Fiberreinforced polymers (FRP) have emerged as promising material for rehabilitation of existing reinforced concrete structures. The rehabilitation of structures can be in the form of strengthening, repairing or retrofitting for seismic deficiencies. RC T section is the most common shape of beams and girders in buildings and bridges. Shear failure of RC T beams is identified as the most disastrous failure mode as it does not give any advance warning before failure. The shear strengthening of RC T beams using externally bonded (EB) FRP composites has become a popular structural strengthening technique, due to the well known advantages of FRP composites such as their high strength toweight ratio and excellent corrosion resistance. A few studies on shear strengthening of RC T beams using externally bonded FRP sheets have been carried out but still the shear performance of FRP strengthened beams has not been fully understood. The present study therefore explores the prospect of strengthening structurally deficient T beams by using an externally bonded fiber reinforced polymer (FRP) This study assimilates the experimental works of glass fiber reinforced polymer (FRP) retrofitted RC T beams under symmetrical four point static loading system. The eight numbers of beams were of the following configurations, (i) one number of beams was considered as the control beam, (ii) seven number of the beams were strengthened with different configurations and orientations of FRP sheets. The first beam, designated as control beam failed in shear. The failures of strengthened beams are initiated with the debonding failure of FRP sheets followed by brittle shear failure. However, the shear capacity of these beams has increased as compared to the control beam which can be further improved if the debonding failure is prevented. An innovative method of anchorage technique has been used to prevent these premature failures, which as a result ensure full utilization of the strength of FRP. A theoretical study has also been carried out to support few of the experimental findings.
Comparing Brand Perception Through Exploratory Sentiment Analysis in Social Media
Venue: LWDA
Year: 2020

The presented student project outlines a natural language processing pipeline for brand metric comparison in the Twitter ecosystem. Sentiment calculation for an unlabeled data set is demonstrated and calibrated using the statistical Central Limit Theorem as a guidance to anchor the sentiment indicator in a homogeneous market. The process is evaluated by comparing the sentimental market performance of three leading German logistics companies. A support for the value of sentiment analysis for automated customer feedback analysis in real time is concluded.
Competitive active video games: Physiological and psychological responses in children and adolescents.
Venue: Paediatrics child health
Year: 2015

Recent strategies to reduce sedentary behaviour in children include replacing sedentary screen time for active video games. Active video game studies have focused principally on the metabolic consumption of a single player, with physiological and psychological responses of opponent based multiplayer games to be further evaluated.  To determine whether adding a competitive component to playing active video games impacts physiological and psychological responses in players.  Sixty two healthy Caucasian children and adolescents, nine to 14 years years of age, completed three conditions (8 min each) in random order: treadmill walking, and single and opponent based Kinect active video games. Affect, arousal, rate of perceived exertion, heart rate and percentage of heart rate reserve were measured for each participant and condition.  Kinect conditions revealed significantly higher heart rate, percentage of heart rate reserve, rate of perceived exertion and arousal when compared with treadmill walking (P<0.001) Opponent based condition revealed lower values for the rate of perceived exertion (P=0.02) and higher affect (P=0.022) when compared with single play.  Competitive active video games improved children's psychological responses (affect and rate of perceived exertion) compared with single play, providing a solution that may contribute toward improved adherence to physical activity.
Projection Based Iterative Learning Control with Its Application to Continuous Time System Identification
Venue: Second International Conference on Informatics Research for Development of Knowledge Society Infrastructure (ICKS'07)
Year: 2007

The paper proposes a new iterative learning control for a class of linear continuous time systems, which achieves high precision tracking for uncertain plants by iteration of trials in the presence of heavy measurement noise. The robustness against measurement noise is achieved through (i) projection of continuous time I/O signals onto a finite dimensional parameter space, (ii) using error data of all past iterations via an integral operation in the learning law and (iii) noise reduction by H2 optimization. Then, based on the proposed control method, a novel approach to identification of continuous time systems directly from the sampled I/O data is presented. Its effectiveness is demonstrated through numerical examples
Engaging Students through Blended Learning Activities to Augment Listening and Speaking
Venue: Arab World English Journal
Year: 2019

Present study examines pedagogically the effect of blended learning activities to augment listening and speaking at tertiary level. Teachers provided content online that allowed measuring the students' engagement, satisfaction, teacher's role, and content and examination. Using the tools online on Blackboard(r) discussion on forums and listening activities, the teacher provided the blended learning activities. The three step strategy (3SS) framework was adopted for language learning.It provided students strategies that generated, supported and manipulated the blended learning activities for learning in the face to face sessions. The study investigates how blended learning activities motivate the engagement of students, their satisfaction, the role of the teacher, content and assessment from the students' point of view. The study uses a population of 38 students from two sections of a listening and speaking class (control G1 n 20 and blended G2 n 18) a placement test, examination results and responses from a questionnaire as instruments for examining the effect of blended learning activities on the students' engagement, satisfaction, teacher's role, content and examination. The results using descriptive statistics demonstrate positive effects of using blended learning activities in supporting the improvement of students' learning on listening and speaking at elementary level.e. In brief, using the evidence from the study reveals that exposing foundation year students to blended learning activities have positive effects on students' engagement, satisfaction, teacher's role, content and examination when learning English. The paper situated itself in the discussion of providing enriched language learning content online for supporting and measuring learning through the objective measurement of the content from the opinion of the students.
Waarom is transformationeel leiderschap effectief bij het verhogen van arbeidstevredenheid en het verlagen van overstap intentie van frontlinie staf in een veranderende dienstverlenende omgeving
Year: 2017

Deze scriptie is erop gericht inzicht te geven in de vraag waarom transformationeel leiderschap effectief is bij het verhogen van arbeidstevredenheid en verlagen van de overstap intentie van frontlinie staf in een veranderende dienstverlenende organisatie. Met dat doel is ook kwantitatief onderzoek uitgevoerd onder het cabinepersoneel van een luchtvaartmaatschappij. In theoretische termen is onderzocht wat het transformationeel leiderschapsmodel inhoudt, wat het beoogt, welk effect het heeft op niet alleen de leider, maar ook op de volger, het team en de organisatie en wat het onderliggend mechanisme is om die effecten te verklaren. Aangetoond is dat op deze grond relaties verwacht kunnen worden tussen transformationeel leiderschap met de afhankelijke variabelen arbeidstevredenheid en overstap intentie als ook relaties tussen de verklarende, medierende, variabelen empowerment en organisatiebetrokkenheid met de afhankelijke variabelen. Literatuuronderzoek laat zien dat deze relaties ook empirisch gestaafd worden zodat een drietal hypotheses opgesteld konden worden. De eerste hypothese laat zien dat transformationeel leiderschap de afhankelijke variabelen beinvloedt; de tweede stelt dat de relatie tussen transformationeel leiderschap en de afhankelijke variabelen wordt gemedieerd door empowerment; de derde dat deze relatie wordt gemedieerd door organisatiebetrokkenheid. Deze hypotheses zijn getoetst aan de uitkomsten van het kwantitatief onderzoek. Voor alle drie werd een positieve bevestiging gekregen. Dat wil zeggen dat de in praktijk gebrachte transformationeel leiderschapsstijl niet alleen effectief blijkt waar het verhoging van arbeidstevredenheid van het cabinepersoneel betreft maar ook het effect bevestigt op verlaging van hun overstap intentie. Zowel empowerment als organisatiebetrokkenheid beinvloeden arbeidstevredenheid en overstap intentie, maar deze relatie is het meest uitgesproken tussen organisatiebetrokkenheid en overstap intentie. Als onderliggende mechanisme van het effectief functioneren van deze relaties blijken de cultuur binnen de organisatie, identificatie met de organisatie en onderlinge steun en vertrouwen tussen leider en medewerker een belangrijke rol te spelen.
Basketball field goal percentage prediction model research and application based on BP neural network
Year: 2014

Through ability analysis ofNBA teammembers, utilize BP neural network to make prediction on basketball field goal percentage. Extract 50 feature vectors from 16 membersAA stats to take training, it finds that outputs well conform to actual values, indicates that the received connection weight can reflect actual status. It mainly on the basis of time series statistical data, basketball competition statistical technique, back propagation neural network used model BP network, adopt rolling prediction to predict China athletesAA basketball field goal percentage. Difference between prediction results and actual are relative small, it shows prediction feasibility of using BP neural network to define basketball field goal percentage.
Mobius Insulator and Higher Order Topology in MnBi_{2n}Te_{3n+1}
Venue: Physical review letters
Year: 2020

We propose MnBi_{2n}Te_{3n+1} as a magnetically tunable platform for realizing various symmetry protected higher order topology. Its canted antiferromagnetic phase can host exotic topological surface states with a Mobius twist that are protected by nonsymmorphic symmetry. Moreover, opposite surfaces hosting Mobius fermions are connected by one dimensional chiral hinge modes, which offers the first material candidate of a higher order topological Mobius insulator. We uncover a general mechanism to feasibly induce this exotic physics by applying a small in plane magnetic field to the antiferromagnetic topological insulating phase of MnBi_{2n}Te_{3n+1} as well as other proposed axion insulators. For other magnetic configurations, two classes of inversion protected higher order topological phases are ubiquitous in this system, which both manifest gapped surfaces and gapless chiral hinge modes. We systematically discuss their classification, microscopic mechanisms, and experimental signatures. Remarkably, the magnetic field induced transition between distinct chiral hinge mode configurations provides an effective "topological magnetic switch"
Flavones (Apigenin, Luteolin, Chrysin) and Their Importance for Health
Year: 2020

It has been shown in recent years that foods called functional foods may protect against certain types of cancer against cardiovascular diseases and cognitive dysfunctions. In the studies performed, the flavo noids (apigenin, chrysin, luteolin) which are subclass of flavonoids have been shown to have antioxidant, antiinflammatory, antiallergic, neuroprotective and cardioprotective effects and it is presented as the cur rent treatment method in the treatment of some diseases. The structure function, nutritional resources and potential therapeutic properties of the flavones, which are also used as supplement in the compost, have been studied. The purpose of this review is to evaluate the therapeutic effects of flavones in certain dise ases. The positive effect of flavones on health can be proven in many experimental studies and can be proven in the long run.
Epitaxial growth of a 100 square centimetre single crystal hexagonal boron nitride monolayer on copper
Venue: Nature
Year: 2019

The development of two dimensional (2D) materials has opened up possibilities for their application in electronics, optoelectronics and photovoltaics, because they can provide devices with smaller size, higher speed and additional functionalities compared with conventional silicon based devices1. The ability to grow large, high quality single crystals for 2D components that is, conductors, semiconductors and insulators is essential for the industrial application of 2D devices2 4. Atom layered hexagonal boron nitride (hBN) with its excellent stability, flat surface and large bandgap, has been reported to be the best 2D insulator5 12. However, the size of 2D hBN single crystals is typically limited to less than one millimetre13 18, mainly because of difficulties in the growth of such crystals; these include excessive nucleation, which precludes growth from a single nucleus to large single crystals, and the threefold symmetry of the hBN lattice, which leads to antiparallel domains and twin boundaries on most substrates19. Here we report the epitaxial growth of a 100 square centimetre single crystal hBN monolayer on a low symmetry Cu (110) vicinal surface, obtained by annealing an industrial copper foil. Structural characterizations and theoretical calculations indicate that epitaxial growth was achieved by the coupling of Cu <211> step edges with hBN zigzag edges, which breaks the equivalence of antiparallel hBN domains, enabling unidirectional domain alignment better than 99 per cent. The growth kinetics, unidirectional alignment and seamless stitching of the hBN domains are unambiguously demonstrated using centimetre to atomic scale characterization techniques. Our findings are expected to facilitate the wide application of 2D devices and lead to the epitaxial growth of broad non centrosymmetric 2D materials, such as various transition metal dichalcogenides20 23, to produce large single crystals.The epitaxial growth of large single crystal hexagonal boron nitride monolayers on low symmetry copper foils is demonstrated.