Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of the supermassive black hole spin in the estimation of the EMRI event rate

One of the main channels of interactions in galactic nuclei between stars and the central massive black hole (MBH) is the gradual inspiral of compact remnants into the MBH due to the emission of gravitational radiation. This process is known as an \Extreme Mass Ratio Inspiral" (EMRI). Previous works about the estimation of how many events space observatories such as LISA will be able to observe during its operational time dier in orders of magnitude, due to the complexity of the problem. Nevertheless, a common result to all investigations is that the possibility that a compact object merges with the MBH after only one intense burst of GWs is much more likely than a slow adiabatic inspiral, an EMRI. The later is referred to as a \plunge" because the compact object dives into the MBH, crosses the horizon and is lost as a probe of strong gravity for eLISA. The event rates for plunges are orders of magnitude larger than slow inspirals. On the other hand, nature MBH’s are most likely Kerr and the magnitude of the spin has been sized up to be high. We calculate the number of periapsis passages that a compact object set on to an extremely radial orbit goes through before being actually swallowed by the Kerr MBH and we then translate it into an event rate for a LISA-like observatory, such as the proposed ESA mission eLISA/NGO. We prove that a \plunging" compact object is conceptually indistinguishable from an adiabatic, slow inspiral; plunges spend on average up to hundred of thousands of cycles in the bandwidth of the detector for a two years mission. This has an important impact on the event rate, enhancing in some cases signicantly,
GRACE: A Graph Database System

GRACE is a database management system for managing data that is in the form of labeled undirected graphs. A large amount of data generated today, like road maps, protein-structures, citation-data, etc. are in the form of undirected labeled graphs. Also, problems involving such data require new forms of queries that are run on the structural properties of the graph. Finding structural patterns in a protein database is a good example. Relational DBMS are not suitable for managing structural queries. GRACE introduces a new data model for graph data and a query language called Safari, which supports both attribute and structural searches.
Research on Subjective Question Automatic Marking Technology Based on Word Segmentation Matching

Nowadays,because of the immaturity of the automatic marking system technology,some problems still exist when dealing with the subjective problems,such as short-answer questions,essay questions,etc.In order to improve the accuracy grade of assessing the subjective question automatically,this paper presents a kind of automated marking system with stable performance and high accuracy by adopting Chinese word segmentation extraction technology and matching technology which are based on forward maximum matching algorithm.Experimental results show that using this kind of automated marking system can satisfy the demand of system design and it is very effective and feasible.
Analysis of the Research Subject of Information Science Based on the Keyword

The purpose of this paper is to analysis the research subject of information science inside China.This paper adopted analysis content method based on word frequency and used the EXCEL as tools to deal with the 50174 keywords from the five information journals and three all-round library and information journals collected by the China Social Science Index(CSSCI) from 1998 to 2004.The paper studied these keywords not only from the whole but also the mutative situation of some keyword.It described some research hotspot of information science based on the keyword.
Accuracy Estimation of a Classifier Based on the Differences in Samples

The classification accuracy is an important standard to measure the quality of the classifier. Usually, the classification accuracy is assessed later, not during the classification process. Problems such as classification accuracy drops cannot be timely and effectively found. It is necessary that marking test samples when estimating classification accuracy. It is a problem that we care about that how much is the classification accuracy when a group of new samples obtained. The problem must be concerned when using and improving the classifier in the case of growing data. To solve this problem, this paper put forward different estimates from different perspectives which based on the difference between samples. One estimate is based on the difference in samples distribution, which is from the Bayesian criterion. Another estimate is based on the difference in each sample instance, which is from the K nearest neighbor classification. Classification accuracy is also estimated by using the artificial neural networks, which combine the characteristics of the above two methods. And results show the proposed methods have good effects.
The Tell-Tale Heart: Brightness Fluctuations in the Decline of SN 2009ip

J. C. MartinBarber Observatory, University of Illinois Spring eld, Spring eld, IL 62704, USAjmart5@uis.eduF. -J. HambschRemote Observatory Atacama Desert, ChileVereniging Voor Sterrenkunde (VVS), Oude Bleken 12, 2400 Mol, BelgiumR. MarguttiHarvard-Smithsonian Center for Astrophsyics, 60 Garden St, Cambridge, MA 02318, USAT.G. TanPerth Exoplanet Survey Telescope, Perth, AustrailaI. CurtisAdelaide, AustraliaandA. SoderbergHarvard-Smithsonian Center for Astrophsyics, 60 Garden St, Cambridge, MA 02318, USAReceived ; acceptedIn Preparation, 45.
C metric with a conformally coupled scalar field in a magnetic universe

In Einstein-Maxwell gravity with a conformally coupled scalar field, the black hole found by Bocharova, Bronnikov, Melnikov, and Bekenstein breaks when embedded in the external magnetic field of the Melvin universe. The situation improves in presence of acceleration, allowing one to build magnetised and accelerating BBMB black hole with a thin membrane. But to overcome this and others disadvantages of BBMB spacetimes, a new class of black holes, including the rotating case, is proposed for the conformal matter coupling under consideration.
Concept and Design of a Cooperative Robotic Assistant Surgery System

Im Rahmen des modular interactive computer assisted surgery Projekts (modiCAS) wurde eine Lösung zur Kombination eines Navigationssystems und eines manuell steuerbaren Roboterarms zur Unterstützung verschiedenster chirurgischer Eingriffe entwickelt [70]. Dieses Robotersystem kann als intelligentes Werkzeug betrachtet werden, das die Fähigkeiten eines Chirurgen auf assistierende und kooperative Weise ergänzt. Das System soll den Chirurgen während Operationen unterstützen, keinesfalls jedoch ersetzen. Das Ziel dieser Arbeit liegt darin, die Interaktion zwischen Chirurg und Roboter bei manueller Führung zu erweitern und einfach und sicher zu gestalten. Der erste Teil dieser Arbeit beschreibt die Architektur eines software-frameworks, das die Bedienung des modiCAS-Systems in verschiedenen chirurgischen Bereichen zulässt. Hierbei ermöglicht eine modulare Struktur, in Verbindung mit einer strategischen Verteilung der einzelnen Module, ausreichende Flexibilität um eine Hardware Plattform an verschiedene Anwendungen anzupassen. Im zweiten Teil wird, im Hinblick auf die kooperativen Fähigkeiten des modiCAS Systems, das Vermeiden von Fehlsteuerungen mittels virtueller Beschränkungen (virtual fixtures) durch den Admittance Controller behandelt. Diese dienen dazu die Bewegungsmöglichkeiten des Roboterarms bei haptischer Führung so zu begrenzen, dass er sich nur in vordefinierte und erlaubte Richtungen bewegen kann. Die Kombination von gewünschten Richtungen erlaubt die Konstruktion verschiedener virtueller Einschränkungen, die eindimensional (z.B. Linie), zweidimensional (z.B. Oberfläche) oder dreidimensional (z.B. Kegel oder Zylinder) sein können. Außerdem sind komplexe Kurven generierbar, die von dem Roboterarm bei manueller Führung exakt durchlaufen werden. Die Methoden Damped Least Squares und Adjoint Jacobian vermeiden hohe Geschwindigkeiten, die während der haptischen Führung des Roboterarms bei singulären Konfigurationen auftauchen können. Eben dies darf während einer kooperativen Operation mittels virtueller Begrenzungen nicht geschehen. Die in dieser Arbeit vorgestellten Methoden liefern einen Beitrag für eine sichere und präzise Steuerung von manuell gesteuerten Roboterarmen. Sie erhöhen die Funktionalitäten zur Assistenz und das Integrationsniveau von Roboterarmen bei
Click-Through Rate Prediction for Search Advertising based on Convolution Neural Network

Click- Through Rate( CTR) prediction is the foundation of search advertising. Nowadays,lots of researches have been explored to predict CTR,and most of those researches either rely on liner model or employ method of recommendation system. However,the relations between different features in CTR predication have not been fully explored in previous works,and the relations between different features also cannot be fully embodied. In this paper,CTR prediction for search advertising based on convolution neural network is proposed,and process of convolution neural network simulating the process of human thought on feature learning is explained. Furthermore,the performance of different features have been analyzed in the task of predicting CTR. Experiments are conducted on the dataset of KDD Cup 2012 Track2 and the proposed method achieves 0. 792 5 in AUC,demonstrating the effectiveness of the proposed approach.
Enhancing the smoothness of joint motion induced by functional electrical stimulation using co-activation strategies

Abstract The motor precision of today’s neuroprosthetic devices that use artificial generation of limb motion using Functional Electrical Stimulation (FES) is generally low. We investigate the adoption of natural co-activation strategies as present in antagonistic muscle pairs aiming to improve motor precision produced by FES. In a test in which artificial knee-joint movements were generated, we could improve the smoothness of FES-induced motion by 513% when applying co-activation during the phases in which torque production is switched between muscles – compared to no co-activation. We further demonstrated how the co-activation level influences the joint stiffness in a pendulum test.
Benchmark study on considering welding-induced distortion in structural stress analysis of thin-plate structures

One of the key challenges for fatigue design of large welded thin structures is the consideration of initial distortions in the response analysis. The objective of this benchmark is to map the limitations of the current rules and to support the development of fatigue assessment guidelines for thin welded structures. The case study is a 4-mm thick full-scale stiffened panel, which is a part of a cruise ship deck structure and subjected to uniaxial uniformly distributed tensile load. The welding induced distortion related to butt-welded structure is included with different level of simplification and both shell and solid elements have been utilized in the finite element analysis. The estimated normal strain is compared with the experimentally measured one at a distance of approximately 8 mm away from the weld toe and root notches. The influence of modelling approach on the estimated structural hot spot stress and the fatigue critical location along the butt weld is compared and discussed. level (Lillemäe et al 2012, 2013, 2016b). Traditional rule-based fatigue assessment methods developed for thicker plates, see e.g. DNV (2014) & Hobbacher (2009), do not consider the effect of curved shape and geometrical nonlinearity and therefore, cannot describe the fatigue strength of thin-plate structures properly. Careful consideration of the structure’s initial shape is needed in order to, firstly, determine the required accuracy of the geometry modeling, and secondly, to establish the appropriate limits for the shape and magnitude of the distortion, corresponding to a certain fatigue capacity. The objective of this benchmark is to map the limitations of the current rules and to support the development of fatigue assessment guidelines for thin welded structures. As a straightforward comparison with full-scale experiments (Lillemäe et al 2016b, 2017) is available, this study increases the understanding in fatigue behavior of thin welded structures, a topic that has so far been studied using mostly small-scale specimens (Lillemäe et al 2012, Fricke & Feltz 2013, Fricke et al 2015).
A Review of Complex Network Theory and Its Application in Power Systems

Blackouts in the world over due to cascaded failures in huge power grids indicate the vulnerability of bulk power grids when they have to be faced with such a kind of faults.In view of the fact that it is hard for traditional methods to effectively explain the occurrence mechanism of similar failures,the deepgoing research on complex network theory and its widespread application provide a new means to solve the problem theoretically.Firstly,the complex network theory and its basic concepts are concisely presented;secondly, theoretical base to interpret the occurrence mechanism of cascaded failure and structural vulnerability of power grid are discussed,and the progress of the research on complex network theory and the application of complex network theory in the modeling of power system topological structure,research of cascaded failure model,analysis of grid vulnerability and identification of key branches and nodes in power grid are expounded;finally,the future research direction of complex network theory is prospected.
PERFORMANCE AND EMISSION CHARACTERISTICS OF A DIESEL ENGINE FUELLED WITH EMULSIFIED BIODIESEL-DIESEL FUEL BLENDS

In this study, effects of emulsified fuels on the performance and emissions of a diesel engine were investigated experimentally. Effective power, specific fuel consumption and thermal efficiency as well as emissions of carbon monoxide, hydrocarbon, nitrogen oxide and carbon were considered as parameters for the investigation. Two emulsified fuels, namely B20W10 and B20W15, containing 10 and 15% water by volume, respectively, were prepared by using diesel fuel-biodiesel blend (B20). The emulsified fuels were tested in a naturally aspirated, direct injection diesel engine at partial load conditions. The test results obtained from the emulsified fuels were compared with those of neat diesel fuel and B20. It was found that the emulsified fuels yield higher specific fuel consumptions, while they cause only slight changes in thermal efficiency. The emulsified fuels are very capable of reducing NOx emission at all engine loads. On the other hand, the use of emulsified fuels brings about significant increase in CO and HC emissions at low engine loads, while they cause moderate CO and HC emissions at high engine loads.
Pengembangan Lembar Kerja Siswa Materi Perkalian Matriks Bercirikan Penemuan Terbimbing untuk Siswa Smk Kelas X

This development research aims to develop student's worksheet matrix multiplication-based guided discovery in class X SMK valid, practical, and effective. The development of this student worksheets using the 4-D model of development that consists of four stages, but in the development of the student worksheet is only going to be done until the third stage only. The subject of trials on the research development of this student worksheets are grade X SMK Putra Indonesia Malang. Based on the results of the validation of worksheets students validated by the three validator experts and practitioners, the student worksheet developed meet the category is valid. Based on the results of observation of its student worksheet demonstrates that levels of student worksheet demonstrates reach the high category, so the student worksheet developed meet the practical category. Average rating based on mastery of the whole class learning materials namely 76, guided discovery that include categories and student response against the student worksheet include positive categories, so the student worksheet developed meet the category effectively. Thus the student worksheets multiplication matrix-based discovery of social interactions in class X generated already meet the category is valid, practical, and effective. Penelitian pengembangan ini bertujuan untuk mengembangkan LKS materi perkalian matriks bercirikan penemuan terbimbing di kelas X SMK yang valid, praktis, dan efektif. Pengembangan LKS ini menggunakan model pengembangan 4-D yang terdiri atas empat tahap, tetapi dalam pengembangan LKS ini hanya akan dilakukan sampai tahap ketiga saja. Subjek uji coba pada penelitian pengembangan LKS ini adalah siswa kelas X SMK Putra Indonesia Malang. Berdasarkan hasil validasi LKS yang divalidasi oleh dua orang validator ahli dan satu orang praktisi, LKS yang dikembangkan memenuhi kategori valid. Berdasarkan hasil observasi terlaksananya LKS menunjukkan bahwa tingkat keterlaksanaan LKS mencapai kategori tinggi, sehingga LKS yang dikembangkan memenuhi kategori praktis. Berdasarkan nilai rata-rata penguasaan bahan ajar seluruh kelas yaitu 76, aktivitas penemuan terbimbing yang termasuk kategori baik, dan respon siswa terhadap LKS termasuk kategori positif, sehingga LKS yang dikembangkan memenuhi kategori efektif. Dengan demikian, LKS materi perkalian matriks bercirikan penemuan terbimbing di kelas X yang dihasilkan sudah memenuhi kategori valid, praktis, dan efektif.
Design analysis and dynamic modelling of a high-speed 3T1R parallel robot for pick-and-place application

This paper introduces a four degree-of-freedom parallel robot producing Schonflies motion, namely, three translations and one rotation around the vertical axis. Differing from the existing four-leg parallel robots, the orientations of the four motors of this robot are not coplanar, which can generate a rectangular workspace that is close to the applicable work envelope and suitable for pick-and-place operations. In the paper, both the kinematic and dynamic models of the novel robot are developed. The kinematics of the robot is studied to analyse the workspace through which the isocontours of the local dexterity over the representative regular workspace is visualised. The simplified dynamics of the robot is modelled and validated.
Resolution and Functionality Enhancements in Optical Metrology

The effective implementation of optical metrology and its associated instrumentation involves a multi-disciplinary approach. This dissertation will draw from mechanical, electrical, and optical engineering subject areas in order to implement the proposed resolution and functionality enhancements. The discussion will focus on three forms of optical metrology: optical displacement sensing, scatterometry, and interferometric weak measurements. A variety of novel concepts and experiments will be presented within these fields of research. First, in optical displacement sensing, increased degree-of-freedom measurements will be explored. The development of a three degree-of-freedom displacement measuring interferometer will serve as the foundation for a six degree-of-freedom optical measurement system. In the pursuit of simultaneous six axis measurement, novel straightness and roll angle sensors will develop. Second, a novel form of scatterometry that uses a spatially varying polarization applied to a focused beam will be presented. The principles of precision control and optical holography are necessary in the system development of the instrument. It will be shown that lateral scanning applied to the inspected sample greatly enhances sensitivity to changes in process parameters.
Étude des conditions d'acceptabilité de la collaboration homme-robot en utilisant la réalité virtuelle

Que ce soit dans un contexte industriel ou quotidien, les robots deviennent de plus en plus presents dans notre environnement et sont desormais capables d'interagir avec des humains. Dans les milieux industriels, des robots viennent notamment assister les operateurs des chaines d'assemblage pour des tâches fatigantes et dangereuses. Robots et operateurs sont alors amenes a partager le meme espace physique (copresence) et a effectuer des tâches en commun (collaboration). Alors que la securite des humains a proximite des robots doit etre garantie a tout instant, il convient egalement de determiner si le travail collaboratif est accepte par les operateurs, en termes d'utilisabilite et d'utilite.La premiere problematique de la these consiste a determiner quelles sont les composantes importantes rentrant en jeu dans l'acceptabilite de la collaboration homme-robot, du point de vue des operateurs. Differents facteurs peuvent influencer cette acceptabilite : l'apparence des robots et leurs mouvements, la distance de securite ou encore le mode d'interaction avec le robot.Afin d'etudier le maximum de facteurs, nous proposons d'utiliser la realite virtuelle pour mener des tests utilisateurs en environnement virtuel. Nous utilisons des questionnaires pour recueillir les impressions subjectives des operateurs et des mesures physiologiques pour estimer leur etat affectif (stress, effort). La deuxieme problematique de la these consiste a determiner si une methodologie utilisant la realite virtuelle est pertinente pour cette evaluation : les resultats issus des tests en environnement virtuel rendent-ils bien compte de la situation reelle ? Pour repondre aux problematiques de la these, trois cas d'etude ont ete mis en place et quatre experimentations ont ete menees. Deux de ces experimentations ont ete reproduites a la fois en environnements reel et virtuel afin d'evaluer la pertinence des resultats issus de la situation virtuelle par rapport a la situation reelle.
Research on Technology of Intrusion Detection Based on Linear Prediction and Markov Model

Intrusion detection has emerged as an important approach of computer security technique. A new kind of method for anomaly intrusion detection is proposed based on linear prediction and Markov model. At first, linear prediction technique is employed to extract features from system call sequences of the privileged processes which are used to make up of the character database of those processes, and then the Markov model is founded based on the features; and Markov information source entropy and condition entropy are used to select parameter and optimize the model. The merits of the model are simple and exact to predict. The experiments show this method is effective and efficient in real time and light load, and can be used to in practice to monitor the computer system in real time.
Fast Pattern Selection for Support Vector Classifiers

Training SVM requires large memory and long CPU time when the pattern set is large.To alleviate the computational burden in SVM training,we propose a fast preprocessing algorithm which selects only the patterns near the optimization hyperplane.The experimental results indicate that training time reduction was achieved including the preprocessing,without any loss in classification accuracies when the training set is magnitude.
Teacher's Predictive Capacity and Empathy in Relation to Children's Self-Concept.

The decoding ability of thirty-four teachers of moral education was found to correlate highly with their capacity to anticipate pupils' responses on a self-concept test. Empathic teachers tended to overestimate their pupils' self-concept, and less empathic teachers tended to underestimate them. We did not conclude that empathic teachers, as identified by decoding and predictive tests, consistently behave with empathy. Classroom climate does not always encourage empathic behaviours, and we do not know what empathy means in school. Research is needed to find a more satisfactory operational definition of empathy in education.