Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation for Specialized Document-Element Search Engines

Scientists often want to search for document-elements like tables and figures in digital documents. Using a documentelement search engine helps them to retrieve a set of documentelements using keyword queries. Consequently, they need to decide whether the returned document-element is useful and then determine what information is contained in it. The last step is typically done by downloading the paper and reading it. In this paper, we investigate how to extract information (synopsis) related to document-elements from documents automatically. The extracted information can be indexed and provided along with the search results, enabling the end-user to quickly find the related information. Thus, this work has significant potential to facilitate easeof-use for a document-element search engine, consequently increasing the productivity of the end-user. We propose a novel method to extract synopses, investigate the optimum synopsis-size and demonstrate the utility of our extracted synopsis in document-element understanding with a user study.
OF DYNAMIC THERMAL EFFECTS WITH NON-PARAMETRIC AND ‘ PARAMETRIC ’ DEFORMATION MODELS

The Viennese theatre ‘Etablissement Ronacher’ was f ounded in 1871 and is one of the oldest theatres in Vienna. Since 1987 the liste d building is integrated in the ‘Vereinigte Bühnen Wien’ cooperation and serves for the present atio of musicals. Increasing numbers of spectators and the necessity for modernisation of t he infrastructure require a complete rehabilitation which started in 2006 and is finishe d in spring 2008. The stability control of the theatre demands a permanent geodetic monitoring for the whole construction process. Especially the theatre ceiling is affected by signi f cant mechanical and thermal loads. The first part of the paper contains a short descri ption of construction process, permanent monitoring system for the ceiling (based on tacheom ter measurements) and the principal strategy for automated alerting via e-mail or SMS. The second part of the paper deals with the investi gation of the displacements in selected material points. A special focus is set on the quan tification of thermal effects caused by changes of the temperature gradient between roof tr uss and auditorium. It is shown that ‘black box’ models (e.g. Artificial Neural Networks, Fuzzy Methods etc.) as well as ‘grey box’ models (e.g. analogous spring-damp-systems identifi d by Kalman-filtering) are suitable to quantify and predict the deformation behaviour. Adv antages and disadvantages of the different applications are discussed. 1. MONITORING THE ‘RONACHER’ THEATRE As a result of new safety aspects in connection wit h the development of early warning and alarm systems, geomonitoring has a gaining signific ance. The basic concept is to collect repeated ( ∆t = days to years) or ‘continuous’ ( ∆t = msec to hours) measuring data from the observed objects (e.g. natural objects like regional and local earth crust, geological and geotechnical structures and artificial objects like da ms, buildings, machineries during their construction and / or operating phase). Mostly, geodet ical, geotechnical and geophysical measuring methods are used and implemented in an integ rated online warning / alarm concept. For the years 2006-2008, our institute was authoris ed to install a geodetic monitoring system in the Viennese theatre ‘Etablissement Ronacher’ (s e Figure 1). One of the main tasks was to
Electronic Reprint Biological Crystallography Current State and Prospects of Macromolecular Crystallography Biological Crystallography Current State and Prospects of Macromolecular Crystallography

Author(s) of this paper may load this reprint on their own web site provided that this cover page is retained. Republication of this article or its storage in electronic databases or the like is not permitted without prior permission in writing from the IUCr. The current situation and possible future development of macromolecular crystallography are reviewed. The rapid progress and maturation of this field in recent years have to a large extent been made possible by the inspiration and generous support of several active structural genomics initiatives. Two tendencies can be currently observed: one which treats protein crystallography as a highly automatic tool for investigating various biological problems without the need to engage in the intricacies of the technique and a second approach where this method is applied to crystals of difficult, large and complex biological systems, requiring a deeper knowledge of various aspects of crystallography. In the near future it is expected that these two trends will coexist, developing in a parallel fashion.
An improved ER scheduling algorithm based spatial reuse scheme for mmWave WPANs

This article focuses on improving the system capacity of 60GHz wireless personal area networks (WPANs) and puts forward an effective spatial reuse scheme which combines the existing exclusive region (ER) based scheduling algorithm with simple power control. In the study, the concept of ER for concurrent transmissions is introduced first. Considering the large path loss in the millimeter-wave (mmWave) band and the characteristics of typical indoor multipath channels, we modify the signal propagation model as well as ER radius for 60GHz WPANs. Then we propose an improved ER based scheduling algorithm which adopts power control instead of constant transmitting power. In the algorithm, devices are assumed to receive data at the receiver sensitivity, which refers to the minimum receiving power to ensure the reliability for communications. Computer simulations evaluate an excellent performance of the proposed spatial reuse scheme at channel capacity. In addition, the impact of the receiver sensitivity on the system is discussed.
A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression

In recent studies on sparse modeling, $l_q$ ($0<q<1$) regularized least squares regression ($l_q$LS) has received considerable attention due to its superiorities on sparsity-inducing and bias-reduction over the convex counterparts. In this paper, we propose a Gauss-Seidel iterative thresholding algorithm (called GAITA) for solution to this problem. Different from the classical iterative thresholding algorithms using the Jacobi updating rule, GAITA takes advantage of the Gauss-Seidel rule to update the coordinate coefficients. Under a mild condition, we can justify that the support set and sign of an arbitrary sequence generated by GAITA will converge within finite iterations. This convergence property together with the Kurdyka-{\L}ojasiewicz property of ($l_q$LS) naturally yields the strong convergence of GAITA under the same condition as above, which is generally weaker than the condition for the convergence of the classical iterative thresholding algorithms. Furthermore, we demonstrate that GAITA converges to a local minimizer under certain additional conditions. A set of numerical experiments are provided to show the effectiveness, particularly, much faster convergence of GAITA as compared with the classical iterative thresholding algorithms.
RQMA-CDMA: scheduling scheme for multimedia traffic with QoS guarantees in mobile cellular networks

In this paper, a scheduling scheme called remote queueing multiple access-code division multiple access (RQMA-CDMA) is proposed. This scheduling scheme provides flexibility in bandwidth allocation and QoS. In addition, admission control guarantees the required E/sub b//N/sub o/ for multimedia traffic. When comparing the proposed RQMA-CDMA scheme to the existing CDMA-GPS, the results show an improvement in system performance in terms of dropped packets, delay and increased operational throughputs.
Risk analysis in the mining industry

South Africai? ½s Mining Industry operates in an uncertain world. The industry is buffeted by problems regarding retrenchments, unemployment, low productivity, rising costs, volatile exchange rates, commodity prices and government regulations. With these uncertainties facing the decision makers, what does applied technology offer the industryi? ½s management? Modelling languages with risk analysis have been available for decades, but in the past their use has been very expensive, requiring large mainframe computers and lots of computer time. Today, PCs and laptops have incredible power, which makes interactive risk analysis affordable and viable for all enterprises, whether small or large. * What is risk analysis? * What is Monte Carlo simulation? * What kinds of computer models need to be created to use risk analysis and Monte Carlo simulation effectively? This paper addresses these questions and illustrates, with a practical example in the mining industry, how risk analysis techniques can be used to support decisions in the climate of uncertainty.
Optimal controller for doubly fed induction generator (DFIG) using Differential Evolutionary Algorithm (DE)

Variable-speed wind turbine (VST) with doubly-fed induction generator (DFIG) is one type of wind power that capable of producing electrical energy efficiently, capable of controlling real and reactive power generator, and improves the power quality. However, DFIG wind turbine has a variable-frequency AC / DC / AC converter (VFC) and IGBT switches that very sensitive to overcurrent which occur during transient disturbance. To protect the DFIG rotor circuit from excessive current, the rotor side converter will be blocked when VFC trip, so the DFIG detached from power system. Release of DFIG during disturbances can cause the production of electricity will be disrupted. By applying the proper control design, the quality of electricity supply during a disturbance can be corrected. In this research, the optimal design of PI controller in the rotor side converter (RSC) with DFIG wind turbine using the Differential Evolutionary Algorithm (DE) is proposed to improve the DFIG performance during disturbance. The simulation results indicate that the application of optimal design of PI controller on DFIG using DE can improve the performance of DFIG during disturbances. It shown by the significantly reducing of overshoot rotor current and voltage DC-link of DFIG with the optimized design when compared with the initial controller design system.
Published in Proceedings IEEE 2002 Workshop On Speech Synthesis, Santa Monica, CA. INTEGRATION OF RULE-BASED FORMANT SYNTHESIS AND WAVEFORM CONCATENATION: A HYBRID APPROACH TO TEXT-TO-SPEECH SYNTHESIS

This paper describes an approach to speech synthesis in which waveform fragments dynamically produced with a set of formant-based synthesis rules are concatenated with pre-stored natural speech waveform fragments to produce a synthetic utterance. While this hybrid approach was originally implemented as a tool for research into improved voice quality in formant-based synthesis, it has produced such good results that we now view it as a potentially viable and advantageous approach for a textto-speech product. Possible advantages of the approach include smaller speech databases for waveform concatenation, enhancement of certain speech cues for sub-optimal listening environments, and improved and more efficient unit selection/production. In addition, the approach has already proven its utility as a tool for research and development in both concatenative and formant-based synthesis.
Circulating MicroRNAs in Patients With Coronary Artery Disease

Rationale: MicroRNAs are small RNAs that control gene expression. Besides their cell intrinsic function, recent studies reported that microRNAs are released by cultured cells and can be detected in the blood. Objective: To address the regulation of circulating microRNAs in patients with stable coronary artery disease. Methods and Results: To determine the regulation of microRNAs, we performed a microRNA profile using RNA isolated from n=8 healthy volunteers and n=8 patients with stable coronary artery disease that received state-of-the-art pharmacological treatment. Interestingly, most of the highly expressed microRNAs that were lower in the blood of patients with coronary artery disease are known to be expressed in endothelial cells (eg, miR-126 and members of the miR-17∼92 cluster). To prospectively confirm these data, we detected selected microRNAs in plasma of 36 patients with coronary artery disease and 17 healthy volunteers by quantitative PCR. Consistent with the data obtained by the profile, circulating levels of miR-126, miR-17, miR-92a, and the inflammation-associated miR-155 were significantly reduced in patients with coronary artery disease compared with healthy controls. Likewise, the smooth muscle–enriched miR-145 was significantly reduced. In contrast, cardiac muscle–enriched microRNAs (miR-133a, miR-208a) tend to be higher in patients with coronary artery disease. These results were validated in a second cohort of 31 patients with documented coronary artery disease and 14 controls. Conclusions: Circulating levels of vascular and inflammation-associated microRNAs are significantly downregulated in patients with coronary artery disease.
Europa's Crust and Ocean: Origin, Composition, and the Prospects for Life

Abstract We have considered a wide array of scenarios for Europa's chemical evolution in an attempt to explain the presence of ice and hydrated materials on its surface and to understand the physical and chemical nature of any ocean that may lie below. We postulate that, following formation of the jovian system, the europan evolutionary sequence has as its major links: (a) initial carbonaceous chondrite rock, (b) global primordial aqueous differentiation and formation of an impure primordial hydrous crust, (c) brine evolution and intracrustal differentiation, (d) degassing of Europa's mantle and gas venting, (e) hydrothermal processes, and (f) chemical surface alteration. Our models were developed in the context of constraints provided by Galileo imaging, near infrared reflectance spectroscopy, and gravity and magnetometer data. Low-temperature aqueous differentiation from a carbonaceous CI or CM chondrite precursor, without further chemical processing, would result in a crust/ocean enriched in magnesium sulfate and sodium sulfate, consistent with Galileo spectroscopy. Within the bounds of this simple model, a wide range of possible layered structures may result; the final state depends on the details of intracrustal differentiation. Devolatilization of the rocky mantle and hydrothermal brine reactions could have produced very different ocean/crust compositions, e.g., an ocean/crust of sodium carbonate or sulfuric acid, or a crust containing abundant clathrate hydrates. Realistic chemical–physical evolution scenarios differ greatly in detailed predictions, but they generally call for a highly impure and chemically layered crust. Some of these models could lead also to lateral chemical heterogeneities by diapiric upwellings and/or cryovolcanism. We describe some plausible geological consequences of the physical–chemical structures predicted from these scenarios. These predicted consequences and observed aspects of Europa's geology may serve as a basis for further analys is and discrimination among several alternative scenarios. Most chemical pathways could support viable ecosystems based on analogy with the metabolic and physiological versatility of terrestrial microorganisms.
REAL TIME VIDEO FOREGROUND EXTRACTION BASED ON CONTEXT-AWARE BACKGROUND SUBTRACTION*

This paper describes a real-time approach for foreground segmentation in image sequences taken from a stationary camera, as a first preprocessing step for object extraction. The proposed method combines a background subtraction method with the extensible inclusion of context information. It currently considers bidirectional temporal change detection as the a priori context data (i.e., desired objects are moving). This combination has proven to improve the detection of the object boundaries, hence enhancing the reliability of the segmentation masks, with little extra computational load. The tested implementation of the proposed foreground detector shows a good trade-off between efficiency, segmentation accuracy and robustness, particularly compared with some other state-of-the-art methods.
Implementation of 1 . 5 GHz Current Reusing Low Noise Amplifier for Ultra Narrow Band Applications

n this paper the Low Noise Amplifier (LNA) operating with a centre frequency of 1.5 GHz is designed using 0. 25μm CMOS technology. The Designed FB-LNA uses a stagger-tuning technique. A current-reused architecture is employed to decrease the power consumption using an input common-gate stage, common-gate lownoise amplifier (CGLNA) exhibits a relatively high noise figure (NF) at low operating frequencies. The technique also enables a significant reduction in current consumption. Designed LNA can be used for narrow band receiver applications.
Cooperative ARQ With Relay Selection: An Analytical Framework Using Semi-Markov Processes

An important building block in cooperative diversity is relay selection, which has to ensure that a well-suited node is employed as a relay. The required coordination among nodes causes signaling overhead, which in turn can significantly devalue the performance benefits gained by cooperative diversity. A relay update policy defines when a new relay is selected; it can balance the tradeoff between performance and overhead. This tradeoff is studied using mathematical methods. We consider three relay selection schemes, i.e., permanent, reactive, and adaptive, which have different relay update rules. We develop an analytical framework using semi-Markov processes to evaluate the throughput and energy efficiency of cooperative automatic repeat request (ARQ) protocols in time-correlated multipath fading channels. Results reveal potential performance gains of different selection schemes under various conditions. The reactive and adaptive schemes make use of better suited relays due to frequent selections. If their selection overhead, however, is significant, a permanent relay can achieve higher throughput due to negligible overhead. The impact of temporal correlation of fading channels on throughput and energy efficiency is also shown. These insights can be applied for development of cooperative communication protocols.
An Improved Graph-Based Image Segmentation Algorithm and Its GPU Acceleration

The paper proposes an improved graph-based image segmentation algorithm. We introduce a new merging mechanism based on minimum region size. The mechanism not only limits the minimum region size but also avoids very large regions which may cause over-merging. We can obtain better segmentation results utilizing our method which highlights the characters of single object and is more applicable for image feature extraction. In addition, we accelerate the algorithm on GPU (Graphics Processing Unit), which achieves large speedup (about 3.52 times) and comparable performance. Moreover, the advantage in speed is more obvious with the image resolution increasing. It can meet the real-time requirements to a degree.
Multicarrier-Modulation for Process-Oriented Real-Time Communication Techniques in Industrial Environment

— For new ways of data transmission in industrial environments we are looking for new methods to transfer more information safely in less time. A special requirement represents the transfer of data and power supply via a simple unshielded medium. Previously conducted studies should investigate point to point, point to multipoint or multipoint to multipoint connectivity. When using a multi-carrier modulation scheme for industrial data communications, the highest requirements for signal generation, transmission and data logging are needed. For this purpose, we developed a prototype based on FPGA and ARM7 technology to perform relevant test cases under real industrial conditions. The results and experiences could be used for future industry protocols, and new generations of integrated circuits.
Collective Matrix Factorization Using Tag Embedding for Effective Recommender System

Many people communicate each other through online community, SNS as Instagram, Facebook, etc. Most of these services annotate on their clips or pictures by using tags, which contain some information and can describe their contents. In this paper, we propose a new recommender system using word embedding with tag information and collective matrix factorization technique. By vectorizing tags that users annotated, we make user-tag matrix by merging tag vectors and factorize it together with user-item matrix. We show that this method effectively works through experiments.
q-SYMMETRIES IN DNLS-AL CHAINS AND EXACT SOLUTIONS OF QUANTUM DIMERS

Dynamical symmetries of Hamiltonians quantized models of discrete nonlinear Schrodinger chain (DNLS) and of Ablowitz–Ladik chain (AL) are studied. It is shown that for n-sites the dynamical algebra of DNLS Hamilton operator is given by the su(n) algebra, while the respective symmetry for the AL case is the quantum algebra suq(n). The q-deformation of the dynamical symmetry in the AL model is due to the non-canonical oscillator-like structure of the raising and lowering operators at each site. Invariants of motions are found in terms of Casimir central elements of su(n) and suq(n) algebra generators, for the DNLS and QAL cases respectively. Utilizing the representation theory of the symmetry algebras we specialize to the n=2 quantum dimer case and formulate the eigenvalue problem of each dimer as a nonlinear (q)-spin model. Analytic investigations of the ensuing three-term nonlinear recurrence relations are carried out and the respective orthonormal and complete eigenvector bases are determined. The quantum manifestation of the classical self-trapping in the QDNLS-dimer and its absence in the QAL-dimer, is analysed by studying the asymptotic attraction and repulsion respectively, of the energy levels versus the strength of nonlinearity. Our treatment predicts for the QDNLS-dimer, a phase-transition like behaviour in the rate of change of the logarithm of eigenenergy differences, for values of the nonlinearity parameter near the classical bifurcation point.
Calcium, magnesium, and growth control in the WI-38 human fibroblast cell

WI-38 and SV40WI-38 cells have been synchronized using centrifugal elutriation. This technique allows for the rapid harvesting of early G1 phase cells from exponentially growing populations of both the normal and transformed cell. Using these cells, as well as WI-38 cells synchronized by serum deprivation, we have examined the effects of extracellular Ca and Mg levels on the progression of cells through G1 phase. A differential sensitivity to both Ca and Mg deprivation is observed between normal and transformed cells. The WI-38 cell requires higher levels of both ions for traversal of G1 phase and for continued proliferation as compared to the transformed cell. The temporal nature of the Ca and Mg requirements for the WI-38 cell has been examined during G1 phase. Ca is strictly required during early and late G1 phase, but not necessarily throughout mid-G1. An early as well as a late G1 Ca requirement is also found in serum-stimulated WI-38 cells. In contrast, the Mg requirement of WI-38 cells does not appear to be temporally well-defined. Mg appears to be a permissive factor, required throughout G1 phase rather than at certain prescribed intervals. On the basis of these data, it seems unlikely that these two cations exert their effects on cell growth entirely through a common competitive mechanism. Ca would appear to be involved in early serum or growth factor-mediated G1 events and later pre-S-phase events, as suggested in previous studies on other cell lines.