Miracle-dz/UniFAR-FTUs huggingface dataset:
Welfare-Maximizing Interest Rate Rules, Asset Prices and Credit Frictions

The present invention provides a cellular telephone with an auxiliary circuit board having a light source and a volume control module and comprising a horizontal main circuit board, an LCD (liquid crystal display) panel, a supporting frame, an auxiliary circuit board with a light source, a light guiding panel, and a zebra connector. In the production of the cellular telephone, no complicated soldering is required. In addition, the number of components are reduced and the general structure is improved and simplified.
Identifying False Alarm Rates for Intrusion Detection System with Data Mining

Intrusion Detection Systems (IDS) are very important in determining how secure a system is, and to discover several types of attack such as Denial of Service (DOS), Probes and User to Root (U2R) attacks. However, recently false alarm rates and accuracy of detection are happens to be the most important issues and challenges in designing effective IDS. Therefore, this study is aimed at detecting denial of services attack and normal traffic using Knowledge Discovery and Data Mining Cup 99(KDD CUP 99) dataset to reduce the false alarm rates. Data mining is used to extract the useful information from large databases. The results have shown that the data mining technique reduces the false alarm rates and increase the accuracy of the system.
A Distributed Framework for Relaying Stereo Vision for Telerobotics

Stereo vision is one critical tool in minimally invasive surgery (MIS) for enhancing perception of depth of organs which greatly improves the operation efficiency. Augmented stereo views results from superimposing 3D anatomical models with real organ views. A reliable distributed framework for relaying stereoscopic visual feedbacks between a telerobotic server and a client station is proposed. The distributed components are based on DirectX, Visual C#, and Window sockets. We used a multi-threaded execution to promote concurrency in grabbing, transmitting, receiving, processing, and displaying image data using head-mounted display (HMD) technology. The client station provides components that support augmented reality (AR), i.e. super-imposing animated graphic model with real views from the operating site. Design and performance issues of proposed multi-threaded execution for streaming of stereo data in a distributed and modular framework is presented.
Améliorer la compréhension de textes narratifs chez les élèves dyslexiques de CM2 : le rôle des modalités de présentation

L’acquisition de la lecture, au-dela du decodage, necessite la maitrise d’un ensemble complexe de processus qui conduisent a la comprehension. Pour certains enfants, l’etape du decodage est imparfaitement franchie a cause d’un trouble specifique de la lecture, communement nomme dyslexie. Les sujets dyslexiques representeraient 5% de la population. Si la recherche a permis de mieux comprendre l’etiologie du trouble, la question de la prise en charge des eleves dyslexiques n’a pas donne lieu a beaucoup de travaux. L’objectif de cette these est de mesurer si d’une part, la modalite a un effet significatif sur les performances en comprehension de textes narratifs pour des eleves de CM2, d’autre part si la mise en relief de morphemes peut avoir aussi un effet significatif. Trois experiences ont ete menees sur la modalite de presentation des textes (presentation orale/ecrite). Les resultats montrent que la modalite orale n’ameliore pas les performances en comprehension des eleves dyslexiques. De plus, dans les trois experiences, les dyslexiques ont des performances inferieures aux normo-lecteurs, quelle que soit la modalite de presentation utilisee. Une experience concernant la morphologie et manipulant le format de presentation des lettres ecrites a donne les memes resultats non significatifs : la mise en relief des elements saillants des mots n’ameliore pas la comprehension. Le resultat principal de ces etudes est de mettre en evidence l’importance du parametre temporel dans la realisation des tâches de comprehension pour les enfants dyslexiques. Ces resultats corroborent certaines donnees issues des recherches menees dans le cadre de la theorie de la charge cognitive et sur la memoire de travail, notamment le modele TBRS (Time-Based Resource Sharing, modele de partage temporel des ressources) de Barrouillet, Bernardin et Camos (2004). Des pistes de recommandations pedagogiques sont envisagees.
Hybrid Active/Passive Control of Sound Radiation From Panels With Constrained Layer Damping and Model Predictive Feedback Control

Feedback control of aircraft sidewall panels has been studied for reducing interior noise due to turbulent boundary layer excitation of the fuselage. Online adaptation of the feedback controller parameters can be used to track pressure, temperature, and structural variations, but the associated computational burden can be overwhelming. This work describes a hybrid active/passive control approach, where the passive components reduce the complexity of the active system. Constrained layer damping provides damping at high frequencies, and a generalized predictive controller is used at low frequencies. Experiments were conducted on a panel subjected to broadband speaker excitation in a transmission loss facility. A piezoelectric actuator provided control input to the panel, accelerometers provided error feedback. Two sensing configurations were studied: one used full-state feedback to control radiated sound power, estimated from 15 accelerometers on the panel; the other used dynamic output feedback to control the summed responses of 4 accelerometers. Active noise reduction from different locations of constrained layer damping is discussed. The addition of the constrained layer damping makes it possible to achieve good noise reduction with the simpler 4-accelerometer sensing configuration.
Prediction of Railway Freight Volumes Based on AdaBoost_BP Neural Network

Aiming at the disadvantages of prediction model of single BP neural network, a prediction model was presented by combining AdaBoost algorithm and BP neural network for improving the forecasting accuracy of single BP neural network. A new updating method is proposed for the characters of ensemble BP neural network based on AdaBoost. The new method can update the model effectively and overcome the disadvantage of traditional updating methods. The efficiency of the proposed prediction model was tested by simulation of the railway freight volume statistical data from the 1999 to 2009 years in China. The simulation results have shown that the higher accuracy is expressed in this proposed model, and it is applicable to practice.
Figurative and literal ripples spreading across the social landscape: A qualitative study on the community response to a disaster

A weakness of disaster research is the tendency to focus on only the severely affected. This study interviewed a range of disaster victims in order to gain a full understanding of a community’s recovery process. Specifically this study aimed to develop an Bailey, Mort et al.’s (2004) understanding of the insider vs. outsider binary that is often created through disaster scenarios, to discover the role storytelling plays in recovery (Bailey, Convery et al., 2004) and focus on the shared sense of community produced (Convery & Bailey, 2008). This study hopes to improve on previous literature by taking in a much wider sense of community to gain a bigger picture of a community response. Thematic analysis of interview transcripts revealed that community members initiate their recovery process through sharing their disaster experiences with those they trust thus revealing the binary of insiders vs. outsiders. Ultimately this process was found to result in an increased solidarity and mutual supportiveness within the community. This process helps build on disaster response predictability.
Thermostability of Probiotics and Their α-Galactosidases and the Potential for Bean Products

Soybeans and other pulses contain oligosaccharides which may cause intestinal disturbances such as flatulence. This study was undertaken to investigate α-galactosidase-producing probiotics added to frozen foods which can survive warming treatments used in thawing and consumption of the pulses. The maximum α-galactosidase activity (1.26 U/mg protein) was found in Bifidobacterium breve S46. Lactobacillus casei had the highest α-galactosidase thermostability among the various strains, with D values of 35, 29, and 9.3 minutes at 50°C, 55°C, and 60°C, respectively. The enzyme activity was less affected than viable cells by heating. However, the D values of two bacterial enzymes were lower than those of three commercial α-galactosidase-containing products. Freshly grown cells and their enzymes were more stable than the rehydrated cultures and their enzymes. Practical Application. Enzymes and cultures can be added to foods in order to enhance the digestibility of carbohydrates in the gastrointestinal tract. However since many foods are warmed, it is important that the thermostability of the enzymes be assessed. This paper provides data on the stability of α-galactosidase, which could potentially be added to food matrices containing stachyose or raffinose, such as beans.
Atomic interface between microwave and optical photons

A complete physical approach to quantum information requires a robust interface among flying qubits, long-lifetime memory and computational qubits. Here we present a unified interface for microwave and optical photons, potentially connecting engineerable quantum devices such as superconducting qubits at long distances through optical photons. Our approach uses an ultracold ensemble of atoms for two purposes: quantum memory and to transduce excitations between the two frequency domains. Using coherent control techniques, we examine an approach for converting and storing quantum information between microwave photons in superconducting resonators, ensembles of ultracold atoms, and optical photons as well as a method for transferring information between two resonators.
Global POC concentrations from in-situ and satellite data

During the last three decades significant contributions have been made to understanding regional and global distribution of chlorophyll in the ocean by developing algorithms from ocean-color products. Analogously, in this work empirical algorithms are developed to derive concentrations of particulate organic carbon (POC) from ocean-color products. We combined vertical profiles of particulate beam attenuation coefficient at 660 nm (cp) collected on numerous cruises during World Ocean Circulation Experiment (WOCE), Joint Global Ocean Flux Study (JGOFS), South Atlantic Ventilation Experiment (SAVE), and other programs since the 1980s to create a global database. Discrete samples of POC and synchronously measured cp data collected in the Atlantic, Pacific, Indian and Southern oceans during JGOFS and other programs were used to make cp:POC regressions to convert cp data to POC values. During the two programs, satellite data were available when synchronous POC samples and cp profiles were obtained over several seasons. cp averaged over one attenuation depth in the South Pacific and northeast Gulf of Mexico was correlated with four synchronous ocean-color products. A good correlation was obtained with both normalized water-leaving radiance at 555 nm (LWN(555)) and diffuse attenuation coefficient at 490 nm (K490). Using a combined K490:cp regression from the two areas, global maps of the estimated mean cp were created and converted to mean POC concentration down to one attenuation depth for summer and winter seasons. Seasonal cp, POC and chlorophyll distributions were used to map %CHL and cp:CHL ratios within one attenuation depth as a possible index of phytoplankton physiology. r 2006 Elsevier Ltd. All rights reserved.
TINA-based environment for mobile multimedia services

This paper discusses how mobility can be incorporated into TINA services. Mobility in this context is the ability to transfer a session from one terminal to another without disrupting the service. The design, implementation and example of use of a "mobility-aware" TINA distributed processing environment (DPE) is detailed in the paper. The DPE is built over commercial software products and offers two basic facilities from which TINA services can be built: life-cycle and stream facilities. Life-cycle facilities allow distributed objects to be deployed and managed transparently while stream facilities allow multimedia channels to be established among service components. Life-cycle facilities are implemented according to the reference model for open distributed processing (RM-ODP). Stream facilities are based on the Object Management Group's media streaming framework "control and management of audio/video streams (A/V streams)". Mobility in our DPE is implemented at the cluster level as prescribed by RM-ODP. An extension of the A/V streams framework is proposed in order to re-establish the media flows after cluster migration. Finally, a TINA-based mobile multimedia service is built over life-cycle and stream facilities using TINA service architecture concepts and guidelines.
Fusion of Multiple Pyroelectric Characteristics for Human Body Identification

Due to instability and poor identification ability of single pyroelectric infrared (PIR) detector for human target identification, this paper proposes a new approach to fuse the information collected from multiple PIR sensors for human identification. Firstly, Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT), Wavelet Transform (WT) and Wavelet Packet Transform (WPT) are adopted to extract features of the human body, which can be achieved by single PIR sensor. Then, we apply Principal Component Analysis (PCA) and Support Vector Machine (SVM) to reduce the characteristic dimensions and to classify the human targets, respectively. Finally, Fuzzy Comprehensive Evaluation (FCE) is utilized to fuse recognition results from multiple PIR sensors to finalize human identification. The pyroelectric characteristics under scenarios with different people and/or different paths are analyzed by various experiments, and the recognition results with/without fusion procedure are also shown and compared. The experimental results demonstrate our scheme has improved efficiency for human identification.
Hierarchical Featureless Tracking for Position-Based 6-DoF Visual Servoing

Classical position-based visual servoing approaches rely on the presence of distinctive features in the image such as corners and edges. In this contribution we exploit a hierarchical approach for object detection, initial-pose estimation, and real-time tracking based first on colour distribution and subsequently on the shape and texture information. The shape model of the object is not limited to surface primitives but allow for any free-form surface not subject to self-occlusion. We evaluate the approach as part of a handshake scenario where a 7-DoF robot takes a free moving object over from a human
Single molecule analysis of DNA wrapping and looping by a circular 14mer wheel of the bacteriophage 186 CI repressor

The lytic–lysogenic decision in bacteriophage 186 is governed by the 186 CI repressor protein in a unique way. The 186 CI is proposed to form a wheel-like oligomer that can mediate either wrapped or looped nucleoprotein complexes to provide the cooperative and competitive interactions needed for regulation. Although consistent with structural, biochemical and gene expression data, many aspects of this model are based on inference. Here, we use atomic force microscopy (AFM) to reveal the various predicted wrapped and looped species, and new ones, for CI regulation of lytic and lysogenic transcription. Automated AFM analysis showed CI particles of the predicted dimensions on the DNA, with CI multimerization favoured by DNA binding. Measurement of the length of the wrapped DNA segments indicated that CI may move on the DNA, wrapping or releasing DNA on either side of the wheel. Tethered particle motion experiments were consistent with wrapping and looping of DNA by CI in solution, where in contrast to λ repressor, the looped species were exceptionally stable. The CI regulatory system provides an intriguing comparison with that of nucleosomes, which share the ability to wrap and release similar sized segments of DNA.
Remote node reconfiguration in opportunistic data collection wireless sensor networks

Traditionally, wireless sensor networks collect readings from distributed embedded sensing systems and forward them to one or more sink nodes. While many energy-efficient data collection protocols have emerged as a result, the transmission of control commands from a sink to individual nodes in the network is generally unsupported by these solutions. We present how the receiver-initiated opportunistic ORiNoCo data collection protocol can be extended to allow for the reconfiguration of nodes at minimal additional energy overhead. When our solution is being applied, adaptations of the sensor sampling rates or node sleep cycles can be easily controlled by the base station during runtime.
Resistance is futile: but it is slowing the pace of EHR adoption nonetheless.

OBJECTIVE The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. (1) The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. DESIGN Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a "Universal EHR Adoption" by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. MEASUREMENT EHR adoption parameters--external and internal coefficients of influence--are estimated using bass diffusion models and future adoption rates are projected. RESULTS Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). CONCLUSIONS The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.
Bloat control in genetic programming with a histogram-based accept-reject method

Recent bloat control methods such as dynamic depth limit (DynLimit) and Dynamic Operator Equalization (DynOpEq) aim at modifying the tree size distribution in a population of genetic programs. Although they are quite efficient for that purpose, these techniques have the disadvantage of evaluating the fitness of many bloated Genetic Programming (GP) trees, and then rejecting most of them, leading to an important waste of computational resources. We are proposing a method that makes a histogram-based model of current GP tree size distribution, and uses the so-called accept-reject method for generating a population with the desired target size distribution, in order to make a stochastic control of bloat in the course of the evolution. Experimental results show that the method is able to control bloat as well as other state-of-the-art methods, with minimal additionnal computational efforts compared to standard tree-based GP.
Online Construction of Search-Friendly Persistent Suffix-tree Layouts

Sequence databases enjoy widespread use in modern life scie nce applications and querying sequences is a common and critical operation in many of those ap plic tions. The suffix tree is a well known data structure that can be used to evaluate a wide v ari ty of queries on sequence data sets. suffix trees are well-known to be not easily amenab l to persistent implementation and usage, since the search procedures used in various appli cations exhibit complex traversal patterns since suffix links are also involved and hence induc es severe disk thrashing. Stellar is a recently proposed mechanism for creating an efficient disk layout for searching on sequence databases. The generation of stellar layout is done post fac to i.e., after building the suffix tree using other algorithms. This is not only time consuming, but also involves lot of additional disk I/O. In this thesis we propose a new algorithm which we ca ll GULP that directly produces an approximate stellar layout. Many construction algorith m construct suffix trees without suffix links to avoid skew problem. Unlike these approaches GULP constructs suffix trees with suffix links and does not exhibit skew problems. Our experime ntal results on different real genomic sequences indicate that GULP beats the ukkonen cons truction algorithm by orders of magnitude. The suffix tree construction and layout algorithm uses fixed n o e structures. However the layout produced by GULP/Stellar is amenable to node comp ression which can reduce the amount of disk space used by suffix tree. We propose a compress ion scheme that exploits the localities of the layout, which not only reduces the amount o f disk space required for storing the tree but also improves the search performance over existing layout. we show that the combined effect of these optimizations results in substantially imp roved index construction and search times.
Experimental analysis of human control characteristics on driving tasks based on gaze measurement data

This paper reports experimental analyses of human characteristic in machine operation. We build a hovercraft simulator, designed the giant slalom task, and measured the operator's line-of sight to know switching-timing of human control property. By combining the identification with ARX model and statistic analysis, the process and factors for the operation skill were investigated. As the results, common factors for the skill in all participants could be found. And, it could be shown quantitatively that enhancement of immersion sense into virtual 3D work space has significant relation to the skill.
Wisdom of the Crowds: Decentralized Knowledge Construction in Wikipedia

Recently, Nature published an article comparing the quality of Wikipedia articles to those of Encyclopedia Britannica (Giles 2005). The article, which gained much public attention, provides evidence for Wikipedia quality, but does not provide an explanation of the underlying source of that quality. Wikipedia, and wikis in general, aggregate information from a large and diverse author-base, where authors are free to modify any article. Building upon Surowiecki's (2005) Wisdom of Crowds, we develop a model of the factors that determine wiki content quality. In an empirical study of Wikipedia, we find strong support for our model. Our results indicate that increasing size and diversity of the author-base improves content quality. We conclude by highlighting implications for system design and suggesting avenues for future research.
A high capacity reversible watermarking scheme

Many reversible watermarking solutions have been proposed since 1996: spread-spectrum approaches, circular interpretation on histogram approaches, lossless compression approaches, expansion approaches and histogram approaches. In this paper, we propose a solution whose embedding capacity goes beyond all those reversible schemes. For certain images, the reach payload of the proposed method is over 2 bpp. This solution is an improvement of the Coltuc reversible watermarking approach published in ICIP'2007.