Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduction of guard interval by impulse compression for DMT modulation on twisted pair cables

In multicarrier modulation schemes like orthogonal frequency division multiplexing (OFDM) or discrete multi tone (DMT) a guard interval represented by a cyclic prefix is inserted between successive multicarrier symbols in order to reduce intersymbol interference (ISI). The length of the guard interval is determined by the length of the channel impulse response (CIR). For a fixed guard interval, the longer the CIR, the higher the ISI is. In this paper, we have designed a time domain equalizer (TEQ) to compress the impulse response of several twisted pair lines with and without bridged taps. The reduction of ISI is shown as well as the resulting signal to noise ratio (SNR) in the presence of white Gaussian noise, near and far end crosstalk (NEXT, FEXT) for various equalizer designs.
Optimizing Power Consumption for Mobile Stations with Multiple Uplink and Downlink Connections in a Mobile WiMAX Network

For providing multimedia streaming services in a mobile WiMAX network, it is important to not only optimize the power consumption of mobile stations (MSs) but also satisfy the QoS requirements of the streams. This paper studies the problem of optimizing the power consumption of the mobile stations (MSs) in the cell of a base station (BS) where each MS has several uplink and downlink connections of real-time ser-vices. In order to adapt to heterogeneous delay and jitter requirements of different real-time services, the concept of a periodic scheduling in [5] is adopted in this paper. In this approach, the MSs wake up by following the pre-allocated transmission schedule given by the BS. The goal of the studied problem is to find an optimal transmission schedule such that the total power consumption can be minimized while the delay and jitter constraints of all connections are still satisfied. In this paper, the integer programming model of the problem is formulated and a lower bound of total power consumption is also derived. Because of its NP-hardness, a heuristic algorithm is proposed to obtain near-optimal solutions. By the numerical results, it is shown that the achieved power consumption of the proposed algorithm is only about 2% higher than the lower bound in the cases where each MS has two UGS and two RT-VR connections.
Multiplex Analysis of Cytokines in the Serum and Cerebrospinal Fluid of Patients With Alzheimer's Disease by Color-Coded Bead Technology

Background and purpose The availability and promise of effective treatments for neurodegenerative disorders are increasing the importance of early diagnosis. Having molecular and biochemical markers of Alzheimer's disease (AD) would complement clinical approaches, and further the goals of early and accurate diagnosis. Combining multiple biomarkers in evaluations significantly increases the sensitivity and specificity of the biochemical tests. Methods In this study, we used color-coded bead-based Luminex technology to test the potential of using chemokines and cytokines as biochemical markers of AD. We measured the levels of 22 chemokines and cytokines in the serum and cerebrospinal fluid (CSF) of 32 de novo patients (13 controls, 11 AD, and 8 Parkinson's disease [PD]). Results MCP-1 was the only cytokine detectable in CSF, and its levels did not differ between control and disease groups. However, the serum concentration of eotaxin was significantly higher in AD patients than in the control group. Conclusions The analysis of multiple inflammatory mediators revealed marginal differences in their CSF and serum concentrations for the differential diagnosis of AD and PD. These results provide evidence that immunological responses are not major contributors to the pathogenesis of AD and PD.
FLEXIBLE JOB SUBMISSION USING WEB SERVICES : THE GLITE WMPROXY EXPERIENCE

Contemporary Grids are characterized by a middleware that provides the necessary virtualization of computation and data resources for the shared working environment of the Grid. In a large-scale view, different middleware technologies and implementations have to coexist. The SOA approach provides the needed architectural backbone for interoperable environments, where different providers can offer their solutions without restricting users to just one specific implementation. The WMProxy (Workload Manager Proxy) is a new service providing access to the gLite Workload Management System (WMS) functionality through a simple Web Services-based interface. The WMProxy was designed to efficiently handle a large number of requests for job submission and control to the WMS and the service interface addresses the Web Services and SOA architecture standards, in particular adhering to the WSInteroperability basic profile. In this paper we describe the WMProxy service: from its architecture, independent from the used Web Services container, up to the provided functionality, all together with the rationale behind the decisions made during both the design and implementation phases. In particular, we provide a description of how the WMProxy is integrated with the gLite Workload Management System; the used technologies, focusing on the Web Services features; the mechanisms adopted to improve performances still keeping high reliability and fault-tolerance; the changes in the job submission operation chain with respect to the previous generation of Workload Management Systems and the new operations provided in order to support bulksubmission and improve Client-Server interaction capabilities.
Mining frequent patterns across multiple data streams

Mining frequent patterns from data streams has drawn increasing attention in recent years. However, previous mining algorithms were all focused on a single data stream. In many emerging applications, it is of critical importance to combine multiple data streams for analysis. For example, in real-time news topic analysis, it is necessary to combine multiple news report streams from dierent media sources to discover collaborative frequent patterns which are reported frequently in all media, and comparative frequent patterns which are reported more frequently in a media than others. To address this problem, we propose a novel frequent pattern mining algorithm Hybrid-Streaming, H-Stream for short. H-Stream builds a new Hybrid-Frequent tree to maintain historical frequent and potential frequent itemsets from all data streams, and incrementally updates these itemsets for efficient collaborative and comparative pattern mining. Theoretical and empirical studies demonstrate the utility of the proposed method.
Automatic Synthesis of a Global Behavior from Multiple Distributed Behaviors

We consider the problem of synthesizing a team of local behavior controllers to realize a fully controllable target behavior from a set of available partially controllable behaviors that execute distributively within a shared partially predictable, but fully observable, environment. Available behaviors stand for existing distributed components and are represented with (finite) nondeterministic transition systems. The target behavior is assumed to be fully deterministic and stands for the collective behavior that the system as a whole needs to guarantee. We formally define the problem within a general framework, characterize its computational complexity, and propose techniques to actually generate a solution. Also, we investigate the relationship between the distributed solutions and the centralized ones, in which a single global controller is conceivable.
Designing a virtual keyboard with multi-modal access for people with disabilities

Virtual keyboards or on-screen keyboards are commonly used as a means of augmentative communication by people with severe speech and motion disability. Any such virtual keyboard is characterized by keys' layout design and method of access. In this paper we present a virtual keyboard that can support multiple modes of access and has an optimum layout based on the frequency of occurrence of alphabet in English text. We have compared our proposed layout against commonly used alphabetical layout, which demonstrates a superior performance of our design.
Lifelogging : New Challenges for Information Visualization on Mobile Platforms

Lifelogging offers a lot of promise in the realm of self-monitoring and reflection. The advent of personal devices with the potential for supporting self-tracking, such as smartphones, has resulted in large amount and multi-faceted data being created. Meanwhile, the consumption of collected lifelog data takes place within a wider mobile environment. These diversifying devices opened up new challenges for designers to create rich interactive visualizations under such context. In this workshop paper, we introduce SenseSeer, a web-based lifelogging application that passively tracking individual daily experience through built-in sensors from users' smartphones. We present our approaches from the stage of data collection to visualization of personal lifelogs on different mobile platforms.
The Analytic Hierarchy Process: A Methodology For Win- Win Management

Conflict resolution is the search for an outcome that represents for some participants as improvement from, and for no- participants a worsening of, their present situation. Group decision making sessions often leads to conflict and loss of sight in particular when the problem is hard to structure and involves qualitative and quantitative criteria. Most executive managers face on daily basis problems that contain one or more of the above elements. They need scientific, but practical tools to help them in making rational decisions. This paper presents the analytic hierarchy process (AHP), a scientific methodology was developed. The AHP can be described as an effective tool for decision making at the executive level of management. It addresses three aspects of decision making problems multi criteria, group decision- making, and conflict resolution. The AHP concept will be reviewed. How does it work? Practical examples of its applications are surveyed. The advantages of implementing the AHP are highlighted.
Single-point cardiac troponin T at coronary care unit discharge after myocardial infarction correlates with infarct size and ejection fraction.

BACKGROUND One of the major concerns in replacing creatine kinase MB (CK-MB) with cardiac troponins is the lack of evidence of the ability of troponins to estimate the size of acute myocardial infarction (AMI). We investigated the ability of a single measurement of cardiac troponin T (cTnT) at coronary care unit (CCU) discharge to estimate infarct size and assess left ventricular (LV) function in AMI patients. METHODS We studied 65 AMI patients in whom infarct size was estimated by CK-MB peak concentrations and gated single-photon emission computed tomography (SPECT) myocardial perfusion using technetium-99m sestamibi and LV function by SPECT imaging. Measurements of cTnT and SPECT were performed 72 h (median) after admission (range, 40-160 h). SPECT was also repeated 3 months later. RESULTS We found a significant correlation between cTnT and both the peak CK-MB concentrations (r = 0.76; P <0.001) and the perfusion defect size at SPECT (r = 0.62; P <0.001). cTnT was inversely related to LV ejection fraction (LVEF) assessed both early (r = -0.56; P <0.001) and 3 months after AMI (r = -0.70; P <0.001). cTnT >2.98 micro g/L predicted a LVEF <40% at 3 months with a sensitivity of 86.7%, specificity of 81.4%, and a likelihood ratio for a positive test of 4.7 (95% confidence interval, 4.0-5.4). CONCLUSIONS A single cTnT measurement at CCU discharge after AMI is useful as a noninvasive estimate of infarct size and for the assessment of LV function in routine clinical setting.
Soft X-Ray Properties of Seyfert Galaxies in the ROSAT All-Sky Survey

We present the results of ROSAT All-Sky Survey observations of Seyfert and IR luminous galaxies from the extended 12 μm galaxy sample and the optically selected CfA sample. Detections are available for 80% (44/55) of the Seyfert 1's and 34% (23/67) of the Seyfert 2's in the 12 μm sample, and for 76% (26/34) of the Seyfert 1's and 38% (6/16) of the Seyfert 2's in the CfA Sample. Roughly half of the Seyfert galaxies (mostly Seyfert 1's) have been fitted to an absorbed power-law model, yielding an average photon index of Γ = 2.26 ± 0.11 for 43 Seyfert 1's and Γ = 2.45 ± 0.18 for 10 Seyfert 2's, with both types having a median value of 2.3. The soft X-ray luminosity corelates with the 12 μm luminosity, with Seyfert 1's, having relatively more soft X-ray emission than Seyfert 2's of similar mid-IR luminosities by factor of 1.6 ± 0.3. Several physical interpretaions of these results are discused, including the standard unified model for Seyfert galaxies. Infrared luminous non-Seyferts are shown to have similar disributions of soft X-ray luminosity and X-ray-to-IR slope as Seyfert 2's suggesting that some of them may harbor obscured active nuclei (as has already ben shown to be true for several objects) and/or that the soft X-rays from some Seyfert 2's may be nonnuclear. A soft X-ray luminosity function (XLF) is calculated for the 12 μm sample, which is described well by a single power law with a slope of −1.75. The normalization of this XLF agrees well with that of a hard X-ray selected sample. Several of our results, related to the XLF and the X-ray-to-IR relation, are shown to be consistent with the hard x-ray observations of the 12 μm sample by barcons et al.
ADAPTASI KOMUNIKASI GURU ASING MENGHADAPI PERBEDAAN BUDAYA DI SEKOLAH INTERNASIONAL

Penelitian ini bertujuan untuk mengungkap pengalaman adaptasi komunikasi tenaga pengajarasing selama menjalankan tugas pembelajaran di Indonesia. Fokusnya adalah eksplorasi ataspengalaman adaptasi komunikasi guru asing di sekolah Internasional Menengah Atas Jakarta.Dinamika interaksi yang melibatkan negosiasi, percakapan tatap muka, situasi dan kontekspercakapan, kiat-kiat adaptasi komunikasi yang di dalamya terdapat tantangan, kesulitan-kesulitan bahkan mungkin terjadi kegagalan komunikasi yang berujung pada penolakan secarasosial sampai dengan dapat diterimanya guru asing. Untuk memahami pengalaman adaptasikomunikasi guru asing peneliti menggunakan pendekatan kualitatif dengan menggunakanfenomenologi deskritif. Fenomena tersebut dianalisi dengan menggunakan penggabungan duametode analisis antara lain analisis yang dikembangkan oleh Rossman dan Marshall (2006) danIntepretive Phenomenological Analysis (IPA) oleh Smith. Terdapat 10 guru asing yang dipilihsecara purposeful sampling dengan kriteria: guru asing yang mengajar minimal satu tahun disekolah Internasional Menengah Atas Jakarta. Hasil penelitian ini memperlihatkan sejumlah guruasing menjelaskan terdapat “culture problem” saat bertemu dengan perbedaan budaya.
"Mining events from the literature for bioinformatics applications" by S. Ananiadou, P. Thompson, and R. Nawaz; with Martin Vesely as coordinator

The ever-increasing rate at which scientific articles are being published means that text mining (TM) is becoming a necessary technology to allow information relevant to a user's search to be isolated from the potential mountain of irrelevant information. Whilst the extraction of named entities, such as genes, proteins and phenotypes, is a well-studied topic, researchers are usually interested in discovering information about specific types of biomedical reactions in which these entities are involved. In order to facilitate efficient searching for such reactions, TM systems need to account for the fact that various types of relationships and links exist between entities in texts. In this article, we describe how the identification of such relationships, together with interpretative information from their textual contexts, can help to create structured representations of biomedical reactions (called events) from unstructured text. We detail the various challenges of extracting events from text, and explain how various tools, resources and infrastructures can help in the development of event extraction systems. Finally, we describe some concrete applications that make use of event extraction technology, i.e., semantic search systems and linking biological pathways with textual evidence.
Low noise CMOS voltage-control oscillator design methodology with emphasis on non-linear effect contributions, 2.4 GHz CMOS design example

This Paper demonstrates an attempt to link nonlinear (transient) oscillator behavior with phase noise. Phase noise generation is first studies, starting with examining Groszkowski's equation. After studying the mechanism, it is found that phase noise is determined by the transfer function and harmonics and based on which, a VCO design guideline is proposed to aid low phase noise VCO design. Then a novel VCO topology is proposed based on this guideline, aiming to reduce the harmonics and decrease the magnitude and the bandwidth of the transfer function. The circuit was designed and implemented in 0.13um IBM CMOS technology. The simulated performance at 2.4GHz was -133dBc/Hz at 1MHz offset with supply current of 3.07mA at 1V supply.
Domain Adaptation with L2 constraints for classifying images from different endoscope systems

This paper proposes a method for domain adaptation that extends the maximum margin domain transfer (MMDT) proposed by Hoffman et al., by introducing L2 distance constraints between samples of different domains; thus, our method is denoted as MMDTL2. Motivated by the differences between the images taken by narrow band imaging (NBI) endoscopic devices, we utilize different NBI devices as different domains and estimate the transformations between samples of different domains, i.e., image samples taken by different NBI endoscope systems. We first formulate the problem in the primal form, and then derive the dual form with much lesser computational costs as compared to the naive approach. From our experimental results using NBI image datasets from two different NBI endoscopic devices, we find that MMDTL2 is better than MMDT and also support vector machines without adaptation, especially when NBI image features are high-dimensional and the per-class training samples are greater than 20.
Effective Mining Sequential Pattern by Last Position Induction

Sequence pattern mining is an important research problem because it is the basis of many other applications. Yet how to efficiently implement the mining is difficult due to the inherent characteristic of the problem the large size of the data set. In this paper, by combining SPAM, we propose a new algorithm called LAst Position INduction Sequential PAttern Mining (abbreviated as LAPIN-SPAM), which can efficiently get all the frequent sequential patterns from a large database. The main difference between our strategy and the previous works is that when judging whether a sequence is a pattern or not, they use S-Matrix by scanning projected database (PrefixSpan) or count the number by joining (SPADE) or ANDing with the candidate item (SPAM). In contrast, LAPIN-SPAM can easily implement this process based on the following fact - if an item’s last position is smaller than the current prefix position, the item can not appear behind the current prefix in the same customer sequence. When scanning the database for the first time, LAPIN-SPAM will construct the ITEMIS EXIST TABLE. Then in every recursive, it only needs to check this table, avoid constructing S-Matrix, joining or ANDing. Because of the recursive characteristic in this research area, LAPIN-SPAM can save much time by improving efficiency for each recursive. The experimental results confirm that our algorithm outperforms previous algorithms.
Application of latent semantic analysis using different vocabularies

organic molecule, 11-cis retinal, a vitamin A derivative, readjusts its shape by changing a single bond on seeing light to form all-trans retinal. While this small change may not seem very significant, it makes a big difference for perception of light in human vision: this is the way by which the brain knows that a photon has landed on the eye. How? The retinal is embedded inside another molecule, called rhodopsin, that belongs to a family of molecules called proteins. Rhodopsin provides multiple molecular interactions to the retinal (Figure 1), and many of these interactions are perturbed by the small change in the retinal induced by light. These perturbations in the immediate neighborhood of the retinal induce other perturbations in more distant parts of rhodopsin, and these changes are recognized by other proteins that interact with rhodopsin, inducing a complex cascade of molecular changes. These molecular changes are ultimately converted into an electrical signal that is recognized by the neurons in the brain. Thus the initial information of light isomeriza-tion is the signal that is processed by the proteins so that the human body can understand and react to it. " Signal transduction, " as the transport of information is called, is only one of the many functions performed by proteins. Proteins are undoubtedly the most important functional units in living organisms, and there are tens of thousands of different proteins in the human body. Understanding how these proteins work is crucial to the understanding of the complex biological functions and malfunctions that occur in diseases. What do proteins look like? Proteins are composed of fundamental building blocks of chemical molecules called amino acids. When a protein is synthesized by the cells, initially it is just a string of amino acids. This string arranges itself in a process called protein folding into a complex three-dimensional structure capable of exerting the function of the specific protein. We will briefly review the fundamental building blocks of proteins, their primary and secondary structure (for references, see [1]). There are 20 different amino acids. The basic chemical composition common to all 20 amino acids is shown in Figure 2 (dark-green box). The central carbon atom, called Cα, forms four covalent bonds, one each with NH 3 + (amino group), COO − (carboxyl group), H (hydrogen), and R (side chain). The first three are common to all amino acids; the side-chain R is a chemical …
Calibration Methods of Hull-White Model

We describe several strategies for the calibration of one factor Hull-White model with constant or time-dependent mean reversion and volatility parameters to the interest rate vanillas. We propose an efficient approximation formula for the swaption implied volatility which enables us to estimate the mean reversion independently of the volatility.We give the closed-forms for exact pricing using explicit integrals of the model parameters and propose parametric forms for the mean reversion and volatility. We test their performance in terms of quality of fitting and stability w.r. t. market changes, and show that excellent fits can be obtained without suffering from instabilities. Furthermore, our calibration methods and parameter control techniques allow for an elegant interpretation of market moves, which we illustrate with an in-depth analysis of Lehman crisis in the fall of 2008.
Slow Evolution of rag1 and pomc Genes in Vertebrates with Large Genomes

Growing evidence suggests that many vertebrate lineages are evolving at significantly different rates. As a first approximation of evolutionary rates, we assessed the amount of neutral (dS) and non-neutral (dN) substitutions that have accumulated within and across sister clades since the time of their divergence. We found that in fish, tetraodontiformes (pufferfish) are evolving at faster rates than cypriniformes (fresh water teleosts), while cypriniformes are evolving faster than elasmobranchs (sharks, skates and rays). A similar rate variation was observed in salamanders: plethodontidae were found to evolve at a rate nearly two fold faster than the hydromantes lineage. We discuss possible explanations for this striking variation in substitution rates among different vertebrate lineages that occupy widely diverse habitats and niches.