Miracle-dz/UniFAR-FTUs huggingface dataset:
Competition Relation Extraction based on Combining Machine Learning and Filtering

This study was directed at the design of a hybrid algorithm for competition relation extraction. Previous works on relation extraction have relied on various lexical and deep parsing indicators and mostly utilize only the machine learning method. We present a new algorithm integrating machine learning with various filtering methods. Some simple but useful features for competition relation extraction are also introduced, and an optimum feature set is proposed. The goal of this paper was to increase the precision of competition relation extraction by combining supervised learning with various filtering methods. Filtering methods were employed for classifying compete relation occurrence, using distance restriction for the filtering of feature pairs, and classifying whether or not the candidate entity pair is spam. For evaluation, a test set consisting of 2,565 sentences was examined. The proposed method was compared with the rule-based method and general relation extraction method. As a result, the rule-based method achieved positive precision of 0.812 and accuracy of 0.568, while the general relation extraction method achieved 0.612 and 0.563, respectively. The proposed system obtained positive precision of 0.922 and accuracy of 0.713. These results demonstrate that the developed method is effective for competition relation extraction.
Pay for Performance: Do Higher Expense Ratios of Levered and Inverse ETFs Lead to Lower Tracking Error?

Levered and inverse Exchange Traded Funds (LETFs) are a recent and controversial innovation in financial engineering. These ETFs set out to achieve daily returns that are a multiple (2x, 3x) or negative multiple (-1x, -2x, -3x) of an underlying index. Since their inception in 2006, research has overwhelmingly concluded that these ETFs fail to meet their stated objectives over long holding periods. However, there has been debate over the causes of this error, and the holding period at which the tracking begins to break down. This thesis sets out to analyze the relationship between the expense ratios of LETFs and their tracking error. Influenced by the methods of Bansal and Marshall (2015) as well as Lu, Wang, and Zang (2012), I calculate tracking error of LETFs and use regression analysis to estimate changes in tracking error attributable to changes in expense ratio. The sample is analyzed by each target multiple, and analysis is performed for holding periods of 1, 5, 10, 21, 63, and 126-days. Through the research process, I find that for -1x, -3x (HP: 126 days) and 2x LETFs, paying a higher expense ratio can produce lower levels of tracking error. The data also supports previous research claiming LETFs tracking error increases as holding period increases. Results did vary for some holding periods and target multiples. Varying results are likely due to the effects of compounding on LETF returns and market conditions like volatility and direction of returns.
THESIS FOR THE DEGREE OF LICENTIATE OF ENGINEERING Phase Dependent Heat Transport in Superconducting Junctions with Scattering Theory

The operation of nanoscale devices at low temperatures is highly sensitive to heating effects. This motivates current research on controlling heat currents in these devices. A particularly important class of setups are hybrid superconducting devices, since (1) there exist a variety of sensitive applications such as qubits, in which heating is an issue, and (2) because the superconducting energy gap as well as the controllable phase-difference across junctions allow for cooling and heat control. This thesis deals with phase-controllable heat currents through superconductingnormal conducting-superconducting (SNS) Josephson junctions. Elaborate devices containing junctions of this type have in recent years been proposed and partly even experimentally been implemented in heat interferometers, heat switches and heat diodes. These complex structures motivate our study on how the properties of an extended, diffusive junction affect the phase-dependent heat conductance of SNS Josephson junctions. In order to analyse the heat conductance of such junctions, in which heat is carried by quasiparticle excitations of the superconducting condensate, we use a scattering matrix formalism for hybrid superconducting systems. The transmission of quasiparticles through the diffusive region takes place via a large number of transmission channels with transmission probabilities characterized by a statistical distribution. We implement these statistical properties using previously obtained results from random-matrix theory. Our main findings are that the channel average of the diffusive conductor leads to a full suppression of the phase-dependence of the heat conductance. In contrast, the weak-localization correction to the heat conductance, as well as the heat conductance fluctuations are still sensitive to the phase. We also find that these heat conductance fluctuations have a similarly universal behavior as the well-known conductance fluctuations of charge currents in normal conductors. However, we identify an additional non-trivial temperature dependence, which is due to the superconducting phase difference.
Simulation of a Novel Phase-Shift Operated Interleaved Snubberless Current-Fed Half-Bridge Dc/Dc Converter

This paper proposes a phase-shift operated interleaved snubberless current-fed half-bridge dc/dc converter with single-phase unfolding inverter. It is suitable for gridtied/utility interface as well as off-grid/standalone application based on the mode of control. Two snubberless current-fed halfbridge isolated dc/dc converters are interleaved in parallel input and series output configuration. The proposed converter attains clamping of the device voltage by secondary modulation, thus eliminating the need of snubber or active-clamp. Phase-shift operation is proposed to control these two converter cells, which generate a rectified sinusoidal pattern at the dc link. A simple H-bridge unfolding inverter with line frequency switching square-wave control is used to produce single-phase sine voltage. This not only simplifies the inversion stage in terms of modulation but also reduces the switching losses. Steady-state operation, analysis and design procedure are presented. Simulation results using PSIM 9.3 are obtained to verify the proposed analysis and design.
The Heterogeneous Effects of Early Track Assignment on Cognitive and Non-cognitive Skills

Previous findings on (fleeting) relative age effects in school suggest that, given innate ability, too few younger and too many older students attend academic tracks. Using a regression discontinuity design around school-specific admission thresholds, we estimate the cognitive and non-cognitive effects of track assignment at the achievement margin, across relative age. We find that attending the higher track does not affect cognitive outcomes at any relative age. For older students, attending the higher track increases perseverance, need for achievement, and emotional stability. The results suggest that older students compensate lower ability (given high track attendance) with higher effort.
A 4.84 mm 2 847–955 Mb/s 397 mW dual-path fully-overlapped QC-LDPC decoder for the WiMAX system in 0.13 µm CMOS

This paper presents a dual-path fully-overlapped QC-LDPC decoder for the WiMAX system. Each phase scans nonzero sub-matrices two by two in block row-wise order, and two phases are fully overlapped. It reduces memory accesses by 24.3–48.8%, and takes only 48–54 clock cycles per iteration. It is fabricated in SMIC 0.13 µm 1P8M CMOS process, which occupies 4.84 mm2, attains 847–955 Mb/s, and consumes 397 mW with power efficiency of 42 pJ per bit per iteration.
A high quality voice coder with integrated echo canceller and voice activity detector for VSAT systems

Low bit rate speech coding research has received much attention resulting in newly developed good quality speech coders operating at as low as 4.8 kb/s. Although speech quality at around 8 kb/s is acceptable for a wide variety of applications, at 4.8 kb/s more improvements in quality are necessary to make it acceptable to the majority of applications and users. In addition to the required low bit rate with acceptable speech quality, other facilities such as integrated digital echo cancellation and voice activity detection are now becoming necessary to provide a cost effective and compact solution. The authors describe a pulsed residual excited linear prediction (PRELP) speech coder with integrated echo canceller and a voice activity detector all of which have been implemented on a single DSP32C with 32 kBytes of SRAM. The quality of coded speech has ben improved significantly by a new excitation implementation which also simplifies the encoder/decoder complexity making room for the integration of a 64-tap echo canceller together with a voice activity detector. >
The Basic Application of Digital Online Technology in Design Teaching

The software practice teaching now takes up a lot of class time in professional design courses, thus both reducing the teaching contents with respect to design creativity and limiting the students in classes. It is also difficult for the students to master all knowledge learned with the help of a traditional teaching method, even with the software technology teaching. Through nearly four years of teaching practice, in this paper, the digital media technology has been introduced in the design class to achieve online and offline teaching method, and some practical and effective methods are also summarized, therefore improving the teaching experience and effect of design classroom and increasing the students in the classes. So that, a “studentoriented” education concept can be truly achieved. Keywords—Design teaching; Software-based teaching; Digital technology; Digital media
Empirical Software Evaluation: Minitrack Introduction

In all areas of software technology, competing products battle to gain market share and dominance. While this situation promotes innovation in technologies and products, it creates a confusing landscape for IT organizations faced with selecting an appropriate technology that satisfies their requirements. It is well documented that the evaluation phase of software product procurement is typically expensive and time-consuming for organizations. It is also fraught with danger, as the selection of an inappropriate tool or technology will be at best a waste of money (shelfware), and in many cases it will lead to ultimate project and even business failure. The co-chairs of this minitrack have been working for 5 years to develop methods and techniques for empirically evaluating the strengths and weaknesses of various middleware and software infrastructure technologies. The work has had significant impact both in research and practice [1-3]. It has demonstrated that by applying scientific approaches to designing repeatable experiments, significant insights in to the technologies can be obtained. The results are of even greater value to potential adopters as they are repeatable and indisputable, rendering marketing messages ineffective in the face of cold hard facts. This minitrack focuses on bringing together the research work from various R&D groups around the world on empirical software evaluation. Devising empirical methods that can meaningfully differentiate between competing products in a wide range of technology classes is a new and growing research area, and one which has the potential to be of great importance to the IT industry as a whole.
Kids make their own robots: good practices from the eCraft2Learn project

This paper focuses on the small-scale pilots with learners that were carried out in Greece in the frame of the eCraft2Learn project including activities that aim at reinforcing learning by making in STEAM education. In the context of the pilots, 13-17 years-old students worked with digital fabrication and making technologies for creating robotic artefacts. In the framework of an appropriate pedagogical model that supports different steps highly interlinked, the teachers and students were invited to work together and explore the fun and the challenges of the making process using the eCraft2Learn learning ecosystem. In this line, a number of good practices were identified related to the facilitation of the learning process, the support of the ideation, the boosting of the can-do attitude, the embracement of failure and the encouragement towards sharing projects, experiences and ideas. Most of these practices are reflected in video-recorded episodes accessible through this paper. I bambini creano i propri robot: buone pratiche dal progetto eCraft2Learn Il presente lavoro documenta le prime applicazioni realizzate in Grecia, nell’ambito del progetto eCraft2Learn, dedicato a rafforzare la formazione nell’area STEAM con il learning by making. Studenti tra i 13 e i 17 anni hanno applicato tecnologie digitali e tecniche artigianali per creare artefatti robotici. Nell’ambito di un modello pedagogico appropriato, in grado di supportare diversi passi altamente interconnessi tra loro, i docenti e gli studenti sono stati invitati a lavorare insieme e ad esplorare gli aspetti di divertimento e di sfida relativi al processo creativo utilizzando l’ecosistema di apprendimento eCraft2Learn. Nel progetto sono state identificate una serie di buone pratiche relative alla facilitazione del processo di apprendimento, al supporto all’ideazione, al rinforzo di un atteggiamento positivo, all’accettazione del fallimento e all’incentivazione della condivisione di progetti, esperienze, idee. La maggior parte di queste pratiche sono state video registrate e sono rese accessibili attraverso il presente articolo.
The Work of the League of Nations

The inauguration of the League of Nations took place at Paris in the Ministry of Foreign Affairs on January 16, 1920. Representatives of the eight members of the Council, exclusive of the United States, namely, Belgium, Brazil, the British Empire, France,Greece, Italy, Japan and Spain, formally met, elected M. Leon Bourgeois, of France, the first chairman of the Council, and proceeded to organize the machinery for the practical execution of the clauses of the Treaty of Peace, the urgent necessity of which, the chairman explained, made it impossible further to postpone the meeting of the Council.
Linear Statistical Analysis of Multi-dividing Ontology Algorithm ⋆

As a concept structured model, ontology has been widely used in various fields such as query expansion and image retrieval. The core trick of ontology applications is to calculate the similarity between the vertices in the ontology graph. Multi-dividing technology has been proved to be an effective approach, which maps the ontology graph into real line and determines the similarity between the different vertices according to the difference of real numbers they correspond to. In this paper, we study the multi-dividing ontology algorithm from a theoretical view. It is highlighted that empirical multi-dividing ontology model can be expressed as conditional linear statistical, and an approximation result is achieved based on projection method. Moreover, we determine the bound of algorithm error for W -ontology performance criteria, which we propose for multi-dividing ontology setting.
The Effect of Outliers in Independent Component Analysis

SYNOPTIC ABSTRACT Independent Component Analysis (ICA) is a statistical and computational technique for decomposing a complex multivariate data into independent components. Several methods have been proposed to find the independent components and they all assume the homogeneity (free of outliers) of the data, which is almost never true in practice. In this study, we propose an algorithm to improve ICA performance in the presence of outliers by introducing an additional step in the data pre-processing. We also show, by using the simulated and real mixed data sets, that the proposed algorithm provides a significant improvement in finding more accurate independent components in the presence of outliers.
Telerobotic response requirements

The bandwidth and response characteristics required for effective telerobotic control are investigated. The definition of these requirements is based on surveying existing literature on teleoperation, robotics, and human factors to determine if sufficient knowledge in this area is available to adequately specify appropriate requirements. An idealized design goal based on the concept of telepresence is presented. To further clarify the response requirements, the control problem is divided into the two major components of teleoperation: the human operator and the telerobot. The literature survey showed that humans have asymmetrical input/output capabilities. It was also found that a human does not have one single relevant bandwidth, but rather that bandwidth is a function of the human's mode of operation. A survey was conducted in which 12 experts were queried to find a consensus based on experience. These results are presented and recommendations are derived. <<ETX>>
Mitigating Iris-Based Replay Attacks

In this paper, we present an iris-based access control protocol that is resistant to iris-based replay attacks. This new style of biometric-based access control protocol is similar to the so called, 'one time password' approach used by some conventional username/password access protocols. Our results show that not only is this new type of iris-based access protocol effective, it can also distinguish between when a user attempting to gain access has supplied a poor sample of their iris and when the access control system is experiencing an iris-based replay attack.
Abfraction : rôle de l'occlusion dans les LCNC

Les Lesions Cervicales Non Carieuses (LCNC) sont des pathologies, d’origine multifactorielle, de plus en plus presentes dans notre exercice quotidien. Leur prise en charge est articulee autour du concept majeur du diagnostic etiologique, qui necessite de connaitre les facteurs de risque et leurs mecanismes afin de mettre en place des mesures prophylactiques adaptees. L’introduction recente du concept d’abfraction, principalement issu de la biomecanique, suscite des controverses et demeure enigmatique. Une recherche bibliographique montre que la litterature actuelle ne permet pas d’affirmer avec certitude que l’occlusion est un facteur de risque concourant au developpement des LCNC. Toutefois, le facteur occlusal n’est pas un facteur a negliger et sera le garant de la perennite de nos therapeutiques restauratrices. De futurs essais cliniques randomises sont necessaires pour mettre en evidence plus precisement l’influence de l’occlusion sur les LCNC.
A Modified Selective-Repeat Type-II Hybrid ARQ System and Its Performance Analysis

The hybrid ARQ scheme with parity retransmission for error control, recently proposed by Lin and Yu [1], [2], is quite robust. This scheme provides both high system throughput and high system reliability. In this paper, a modified Lin-Yu hybrid ARQ scheme is presented. The modified scheme provides a slightly better throughput performance than the original Lin-Yu scheme; however, it is more flexible in utilizing the error-correction power of a code. The modified scheme can be incorporated with a rate 1/2 convolutional code using Viterbi decoding. Furthermore, the pure selectiverepeat ARQ is a degenerated case of the modified scheme in selective mode. Lin and Yu analyzed their scheme only for a receiver buffer of size N where N is the number of data blocks that can be transmitted in a round-trip delay interval. No analysis for other buffer sizes was given. In this paper, the throughput performance of the modified Lin-Yu scheme is analyzed for any size of receiver buffer. Consequently, the throughput efficiency of the pure selective-repeat ARQ for any receiver buffer size can be obtained. We also show that the modified scheme achieves the same order of reliability as a pure ARQ scheme.
Towards a time-lapse prediction system for cricket matches

Cricket is a popular sport played in over a hundred countries, is the second most watched sport in the world after soccer, and enjoys a multi-million dollar industry. There is tremendous interest in simulating cricket and more importantly in predicting the outcome of games, particularly in their one-day international format. The complex rules governing the game, along with the numerous natural phenomena affecting the outcome of a cricket match present significant challenges for accurate prediction. Multiple diverse parameters, including but not limited to cricketing skills and performances, match venues and even weather conditions can significantly affect the outcome of a game. The sheer number of parameters, along with their interdependence and variance create a non-trivial challenge to create an accurate quantitative model of a game. Unlike other sports such as basketball and baseball which are well researched from a sports analytics perspective, for cricket, these tasks have yet to be investigated in depth. The goal of this work is to predict the game progression and winner of a yet-to-begin or an ongoing game. The game is modeled using a subset of match parameters, using a combination of linear regression and nearest-neighbor classification-aided attribute bagging algorithm. The prediction system takes in historical match data as well as the instantaneous state of a match, and predicts the score at key points in the future, culminating in a prediction of victory or loss. Runs scored at the end of an innings, the key factor in determining the winner, are predicted at various points in the game. Our experiments based on actual cricket game data, shows that our method predicts the winner with an accuracy of approximately 70%.
The Quantum-Chemistry Calculations of Electronic Structure of Boron Nitride Nanocrystals with Density Functional Theory Realization

Within the framework of the density functional theory (DFT), a theoretical study of the structural features of nanocrystals doped by an atom of foreign elements was carried out. Nanotubes of boron nitride (BN (3.3)) and carbon nanotubes (CNT (3.3)) were chosen as the objects of a current comparative study. Based on quantum chemical calculations using the WIEN2k code, the band gap theory and density of states for BN (3.3) and CNT (3.3) are determined according to the theory of DFT. Further, with the substitution of one Zr atom in the BN (3.3) and CNT (3.3) lattice, the band structure of the BN (3.3) + Zr and CNT (3.3) + Zr systems as well as the changes occurring in them are investigated.
An Agile Method, a Contractual Relationship, and Distance: A Triad of Challenging Conditions for a Successful System Development Project

Abstract This study explores how a thoughtful tailoring of an agile method contributed to the successful development of a complex and unique information system in a context where teams work across organizational and geographical boundaries. More specifically, the findings show how a large consulting firm managed to overcome the ever-elusive business requirement and distance challenges in a contractual relationship with a global client. The tailoring efforts addressed the challenges of working under a fixed-price contractual agreement by managing a total effort umbrella and by continuously aligning the functionalities to be delivered in the overall project with the work to be realized in each sprint; the challenges of working at a distance were met by adding time to the typical one-month sprint, and by developing a rich portfolio of communication tools and practices; and finally, the challenges of working with a global client were mainly dealt with by adopting a “just enough” strategy where a smart communication-oriented documentation was introduced. The findings show that the tailoring efforts addressed the agility needs of the project and resulted in a successful endeavor for all parties.