Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra low power low noise amplifier design for 2.4 GHz applications

Requirements of Wireless Sensor Network application which are limited power, required energy and moderate performance has been forced the Wireless Sensor Network transceiver designers toward an adaptive transceiver structures. To address the above mentioned concerns, a low-noise amplifier integrated in 2.4 GHz, in 0.18 μm CMOS technology is developed. The proposed LNA can operate at 1.8 V supply voltage. The LNA provides a good gain of 17 dB, a noise figure of 0.01 dB, reverse isolation (S12) of -3 dB, input return loss (S11) of -15 dB and output return loss (S22) of -7 dB, while consuming only 7.2 Mw DC power.
Daily Seasonality in Lme Base Metal Returns 1989-2002: A Robust Analysis

The existence of daily seasonal patterns in the returns to 5 base metals traded on the London Metal Exchange (Aluminium, Copper, Zinc, Lead and Nickel) is examined, using robust methods, over the 1989-2002 period. The paper begins by examining the extent of daily seasonality in asset returns, the majority of papers on this area dealing with equities. However, there is some evidence of daily seasonality in areas other than corporate liabilities, particularly in gold. No papers have to date been published that have examined the issue in base metals. The paper then describes the operations of the London Metal Exchange, the exchange on which the metal contracts analysed here are traded. The data are cash market data on a daily frequency from January 1989 to the end of August 2002. The paper then proceeds to discuss methodological issues, pointing out the need to adjust for large sample sizes and for the distributional characteristics of the data prior to making any inferences regarding the existence or otherwise of seasonality. The roles of resampling methods, robust regressions (Least Trimmed of Squares, M-Class Estimators and Least Absolute Deviation Regression) are also discussed, as are non-parametric methods. The results indicate that daily seasonality does appear to exist in the metal markets, particularly important days being Monday and Thursday. Monday is the lowest return of the week and also negative, with Thursday being the highest (Friday being the second highest). Thus the metal market appears to show the stereotypical pattern of daily seasonality that was commonly described in the literature on the equity markets.
Accuracy of the serological ELISA test compared with the polymerase chain reaction for the diagnosis of cytomegalovirus infection in pregnancy.

CONTEXT The most frequently used methods for detecting antibodies are the indirect immunofluorescence test and the enzymatic immunoassay (ELISA). The polymerase chain reaction is a molecular biology technique in which the production of large amounts of specific DNA fragments is induced from very low concentrations of complex substrates aloowing the detection of very low amounts of viral particles. OBJECTIVE To assess the accuracy of serological/ELISA tests in comparison with the polymerase chain reaction in maternal blood to diagnose cytomegalovirus infection. DESIGN A descriptive study was performed. SETTING High-risk outpatient clinic of Campinas University (Unicamp). PARTICIPANTS We selected 243 pregnant women. All of them had been indicated for blood sampling because of suspicions of cytomegalovirus infection and also because of other infections. MAIN MEASUREMENTS The group was tested for cytomegalovirus. Serological tests were run and compared to the polymerase chain reaction, which was considered to be the gold standard. Status analyses were done using Fisher's exact test, via the SAS software. RESULTS The previous cytomegalovirus infection rate was 94.6%. The main reasons for inclusion in the study were fetal nervous system malformation (25.5%), maternal toxoplasmosis (25.5%) and Rh isoimmunization (14.8%). Only two women were included because of positive serological immunoglobulin M test for cytomegalovirus. The sensitivity and specificity of the serological tests were 94% and 6% for immunoglobulin G. CONCLUSION Serological tests had lower sensitivity in comparison with the polymerase chain reaction test when diagnosing cytomegalovirus infection. The consequences of positive polymerase chain reaction and negative immunoglobulin M in women remain unknown.
Annotating web tables through ontology matching

Web tables have been proven to constitute valuable sources of information for applications, ranging from Web search, to data discovery in spreadsheet software and KB augmentation [1]. A requirement for those applications is to understand the semantics of Web tables and potentially match their contents with existing URIs in the Web of Data, a process known as Web table annotation [4]. Recent works on Web table annotation follow an iterative approach between instanceand schema-level refinements, until convergence [6, 7]. In this work, we annotate Web tables using ontology matching. As this field has solid tools and benchmarks, we design a framework that provides the required input to any ontology matching tool, resulting in Web table annotations. Moreover, our blocking enables even the less scalable ontology matching tools provide annotations to large-scale KBs, such as DBpedia. The contributions of our work are: – We introduce a generic and scalable framework for Web table annotation using existing ontology alignment systems. – We evaluate our framework and compare the results against state-of-the-art Web table annotation tools, with promising results. – Our framework can be extended as a benchmark for ontology matching tools.
A Recursive Formulation for Repeated Agency with History Dependence

There is now an extensive literature regarding the efficient design of incentive mechanisms in dynamic environments. In this literature, there are no exogenous links across time periods because either privately observed shocks are assumed time independent or past private actions have no influence on the realizations of current variables. The absence of exogenous links across time periods ensures that preferences over continuation contracts are common knowledge, making the definition of incentive compatible contracts at a point in time a simple matter. In this paper, we present general recursive methods to handle environments where privately observed variables are linked over time. We show that incentive compatible contracts are implemented recursively with a threat keeping constraint in addition to the usual temporary incentive compatibility conditions.
On Using a priori Knowledge in Space-Time Adaptive Processing

In space-time adaptive processing (STAP), the clutter covariance matrix is routinely estimated from secondary ldquotarget-freerdquo data. Because this type of data is, more often than not, rather scarce, the so-obtained estimates of the clutter covariance matrix are typically rather poor. In knowledge-aided (KA) STAP, an a priori guess of the clutter covariance matrix (e.g., derived from knowledge of the terrain probed by the radar) is available. In this note, we describe a computationally simple and fully automatic method for combining this prior guess with secondary data to obtain a theoretically optimal (in the mean-squared error sense) estimate of the clutter covariance matrix. The authors apply the proposed method to the KASSPER data set to illustrate the type of achievable performance.
EXPRESSION OF CYTOCHROMES P450, CONJUGATING ENZYMES AND NUCLEAR RECEPTORS IN HUMAN HEPATOMA HepaRG CELLS

Most human hepatocyte cell lines lack a substantial set of liver-specific functions, especially major cytochrome P450 (P450)-related enzyme activities, making them unrepresentative of in vivo hepatocytes. We have used the HepaRG cells, derived from a human hepatocellular carcinoma, which exhibit a high differentiation pattern after 2 weeks at confluency to determine whether they could mimic human hepatocytes for drug metabolism and toxicity studies. We show that when passaged at low density, these cells reversed to an undifferentiated morphology, actively divided, and, after having reached confluency, formed typical hepatocyte-like colonies surrounded by biliary epithelial-like cells. By contrast, when seeded at high density, hepatocyte-like clusters retained their typical differentiated morphology. Transcripts of various nuclear receptors (aryl hydrocarbon receptor, pregnane X receptor, constitutive androstane receptor, peroxisome proliferator-activated receptor α), P450s (CYP1A2, 2C9, 2D6, 2E1, 3A4), phase 2 enzymes (UGT1A1, GSTA1, GSTA4, GSTM1), and other liver-specific functions were estimated by reverse transcriptase-quantitative polymerase chain reaction and were found to be expressed, for most of them, at comparable levels in both confluent differentiated and high-density differentiated HepaRG cells and in cultured primary human hepatocytes. For several transcripts, the levels were strongly increased in the presence of 2% dimethyl sulfoxide. Measurement of basal activities of several P450s and their response to prototypical inducers as well as analysis of metabolic profiles and cytotoxicity of several compounds confirmed the functional resemblance of HepaRG cells to primary cultured human hepatocytes. In conclusion, HepaRG cells constitute the first human hepatoma cell line expressing high levels of the major P450s involved in xenobiotic metabolism and represent a reliable surrogate to human hepatocytes for drug metabolism and toxicity studies.
An MPSoC for energy-efficient database query processing

This paper presents a heterogeneous database hardware accelerator MPSoC manufactured in 28 nm SLP CMOS. The 18 mm2 chip integrates a runtime task scheduling unit for energy-efficient query processing and hierarchical power management supported by an ultra-fast dynamic voltage and frequency scaling. Four processing elements, connected by a star-mesh network-on-chip, are accelerated by an instruction set extension tailored to fundamental dataintensive applications. We evaluate the MPSoC with typical database benchmarks focusing on scans and bitmap operations. When the processing elements operate on data stored in local memories, the chip consumes 250 mW and shows a 96x energy efficiency improvement compared to state-of-the-art platforms.
Obesity decreases both whole muscle and fascicle strength in young females but only exacerbates the aging‐related whole muscle level asthenia

Obesity has previously been associated with greater muscle strength. Aging, on the other hand, reduces muscle specific force (the force per unit physiological cross‐sectional area [PCSA] of muscle). However, neither the effect of obesity on skeletal muscle specific force nor the combined effects of aging and obesity on this parameter are known. This study aimed to describe the interplay between body mass index (BMI)/adiposity, aging, and skeletal muscle specific force. Ninety‐four untrained healthy women categorized by age into young (Y; mean ± SD: 25.5 ± 9.0 years) versus old (O; 64.8 ± 7.2 years) were assessed for body composition, gastrocnemius medialis (GM) muscle volume (V), net maximum voluntary contraction (nMVC), and specific force (SF). The young obese, while demonstrating 71% and 29% (P < 0.001) higher V and nMVC compared to normal BMI individuals, were in fact 26% (P = 0.007) weaker than these, where V was used to scale nMVC (i.e., nMVC/V). The weakness associated with obesity was further exemplified in the 34% (P < 0.001) lower SF relative to normal BMI individuals. Similarly, ≥40% body fat was associated with 60% and 27% (P < 0.001) higher V and nMVC, but 11% and 25% (P < 0.01) lower nMVC/V and SF than <40% body fat. The aging‐related rates of decline in V (−2 cm3/year P < 0.05) and nMVC (−1.2 cm3/year P < 0.05) were highest in obesity defined by BMI. This effect was also seen when segregating by >40% adiposity. Interestingly, however, obesity appeared advantageous to the aging‐related changes in nMVC/V (P < 0.001) and SF (P < 0.001). Unlike previous reports of greater strength in the obese compared with leaner age‐matched counterparts, we in fact demonstrate that the young sedentary obese, are substantially weaker, where the volume of skeletal muscle is used to scale the maximal torque output, or forces are quantified at the fascicular level. The seemingly positive impact of obesity on rate of aging, however, is complex and warrants further investigations.
Comparison of String Similarity Measures for Obscenity Filtering

In this paper we address the problem of filtering obscene lexis in Russian texts. We use string similarity measures to find words similar or identical to words from a stop list and establish both a test collection and a baseline for the task. Our experiments show that a novel string similarity measure based on the notion of an annotated suffix tree outperforms some of the other well known measures.
Chandra measurements of 3C 220.1's X-ray core and cluster

We report results of an 18 ks exposure with the ACIS instrument on Chandra of the powerful z = 0.62 radio galaxy 3C 220.1. The X-ray emission separates into cluster gas of emission-weighted kT ~ 5 keV and 0.7-12 keV luminosity (to a radius of 45 arcsec) 5.6 x 10^44 ergs s^-1, and unresolved emission (coincident with the radio core). While the extended X-ray emission is clearly thermal in nature, a straightforward cooling-flow model, even in conjunction with a point-source component, is a poor fit to the radial profile of the X-ray emission. This is despite the fact that the measured properties of the gas suggest a massive cooling flow of ~ 130 M_\odot yr^-1, and the data show weak evidence for a temperature gradient. The central unresolved X-ray emission has a power-law spectral energy index \alpha ~ 0.7 and 0.7-12 keV luminosity 10^45 ergs s^-1, and any intrinsic absorption is relatively small. The two-point spectrum of the core emission between radio and X-ray energies has \alpha_rx = 0.75. Since this is a flatter spectrum than seen in other sources where the X-ray emission is presumed to be radio-related, regions close to the AGN in this source may dominate the central X-ray output, as is believed to be the case for lobe-dominated quasars. Simple unification models would be challenged if this were found to be the case for a large fraction of high-power radio galaxies.
Musical instrument recognition using reflection coefficients

The problem of musical instrument recognition is an emerging field of study in the context of multimedia content identification. That kind of instrumental classification is very important in some commercial applications, such as database search mechanisms, automated multimedia indexing and smart internet browsers. In this study, we propose a system that picks up the musical instruments playing in a particular song. The system builds vector quantization based classifiers using reflection coefficients coming from each training instrumental data. Later, the recognizing ability of these models is tested with midi synthesized and real musical recordings. Finally, the performance of line spectral frequencies is compared with the proposed reflection coefficient based system.
Design and FPGA Implementation of a simple time efficient KOM

Multipliers are key components of many high performance systems such as FIR filters, microprocessors, digital signal processors, etc. A system’s performance is generally determined by the performance of the multiplier. In most of the cases, the multiplier is the slowest element which affects the performance of the system. Hence, optimizing the speed of the multiplier is a major design issue. KaratsubaOfman Multipliers (KOM Multipliers) have less delay compared to other conventional multipliers which greatly increase the performance of a system. In this work we have designed and implemented ‘n’ bit KOM Multiplier by using FPGA. Using VHDL as the language we have implemented the hardware design and simulated using Xilinx ISE System edition.
Intracellular trafficking of vitamin E in hepatocytes: the role of tocopherol transfer protein Published, JLR Papers in Press, July 16, 2005. DOI 10.1194/jlr.M500143-JLR200

The term vitamin E denotes a family of tocopherols and tocotrienols, plant lipids that are essential for vertebrate fertility and health. The principal form of vitamin E found in humans, RRR-α-tocopherol (TOH), is thought to protect cells by virtue of its ability to quench free radicals, and functions as the main lipid-soluble antioxidant. Regulation of vitamin E homeostasis occurs in the liver, where TOH is selectively retained while other forms of vitamin E are degraded. Through the action of tocopherol transfer protein (TTP), TOH is then secreted from the liver into circulating lipoproteins that deliver the vitamin to target tissues. Presently, very little is known regarding the intracellular transport of vitamin E. We utilized biochemical, pharmacological, and microscopic approaches to study this process in cultured hepatocytes. We observe that tocopherol-HDL complexes are efficiently internalized through scavenger receptor class B type I. Once internalized, tocopherol arrives within ∼30 min at intracellular vesicular organelles, where it colocalizes with TTP, and with a marker of the lysosomal compartment (LAMP1), before being transported to the plasma membrane in a TTP-dependent manner. We further show that intracellular processing of tocopherol involves a functional interaction between TTP and an ABC-type transporter.
Object Detection with Vocabularies of Space-time Descriptors

This paper presents a novel framework for objects detection in security and broadcast videos. Our method assumes that object classes are unknown in advance and exploit the temporal-space properties of the videos for the creation of a vocabulary that describes these classes. Local space-time features have recently became a popular video representation for action recognition and object detection. Several methods for feature localization and description have been proposed in the literature and promising recognition results were demonstrated for a number of action classes. In this work we propose the use of different kinds of descriptors for the creation of vocabularies for different detection object task. For a better description of the videos we carry out a background model, tryring to clean up and follow the areas where there are objects. The points of interest in the videos to characterize the objects are calculated with a temporary variant of the famous Harris corner detector. With the descriptors obtained from the points of interest, a vocabulary is realized usingthe kinds of videos we want to train. Then we obtained the frequency histograms between the videos for training and the vocabulary so, with a binary classifier obtain the trained classes and following the same procedure without the vocabulary realized the detection and monitoring of the objects. The new method presented is also compared with a state of the art method, obtaining better results in both accuracy and false object rejection.
Synchrony Makes Neurons Fire in Sequence, and Stimulus Properties Determine Who Is Ahead

The synchronized activity of cortical neurons often features spike delays of several milliseconds. Usually, these delays are considered too small to play a role in cortical computations. Here, we use simultaneous recordings of spiking activity from up to 12 neurons to show that, in the cat visual cortex, the pairwise delays between neurons form a preferred order of spiking, called firing sequence. This sequence spans up to ∼15 ms and is referenced not to external events but to the internal cortical activity (e.g., beta/gamma oscillations). Most importantly, the preferred sequence of firing changed consistently as a function of stimulus properties. During beta/gamma oscillations, the reliability of firing sequences increased and approached that of firing rates. This suggests that, in the visual system, short-lived spatiotemporal patterns of spiking defined by consistent delays in synchronized activity occur with sufficient reliability to complement firing rates as a neuronal code.
Reflecting Data : Formally Correct Results for Efficient ( and Dirty ) Algorithms

We describe an approach to writing efficient algorithms in fully formal proof systems by reflecting the data the algorithm uses, but not the algorithm itself. We illustrate the approach with an efficient algorithm for normalisation of arithmetic terms. Our approach ensures the correctness of the algorithm’s result without extending the trusted code of the proof system and without having to prove any properties about the algorithm itself, such as its termination. This approach allows correct results to be ensured even for ‘dirty’ algorithms such as those which lack a proof of termination.
Learning Grounded Relational Symbols from Continuous Data for Abstract Reasoning

Learning from experience how to manipulate an environment in a goal-directed manner is one of the central challenges in research on autonomous robots. In the case of object manipulation, efficient learning and planning should exploit the underlying relational structure of manipulation problems and combine geometric state descriptions with abstract symbolic representations. When appropriate symbols are not predefined they need to be learned from geometric data. In this paper we present an approach for learning symbolic relational abstractions of geometric features such that these symbols enable a robot to learn abstract transition models and to use them for goal-directed planning of motor primitive sequences. This is framed as an optimization problem, where a loss function evaluates how predictive the learned symbols are for the effects of given motor primitives as well as for reward. The approach is embedded in a full-fledged symbolic relational model-based reinforcement learning setting, where both the symbols as well as the abstract transition and reward models are learned from experience. We quantitatively compare the approach to simpler baselines in an object manipulation task and demonstrate it on a real-world robot.
Relations between language skills and problem behaviour in preschool children

ABSTRACT The purpose of the study was to explore whether gender or ethnicity moderated the links between language skills and teacher ratings of problem behaviour and between language and social skills in 386 English-speaking Hispanic and European American preschool children from low-income families. The Preschool Language Scale-4 was administered individually to each child participant. Teachers completed the Child Behavior Checklist/11/2–5 and the Social Skills Rating System for each participant. Results indicated that gender or ethnicity did not moderate the relationships between language skills and problem behaviours. However, the association between language skills and social skills was influenced by gender or ethnicity.
EstaVis: A Real-World Interactive Platform for Crowdsourced Visual Urban Analytics

Fueled by the increasing proliferation of citizen generated spatio-temporal data -- especially in participatory urban infrastructure monitoring -- municipal authorities are in need for ways to process and understand increasingly overwhelming amounts of data. However, duplicate issue reporting by citizens such as broken traffic lights, potholes or garbage can lead to bottlenecks in manual processing of such data. As contribution this paper examines which city issue report presentation methods are useful to support a human in analyzing and processing them. We compare presentation methods such as automatically clustered information, manual clustered information and mixes of both. Automatically clustering of information is performed by a data analytics algorithm which is also presented in this paper together with EstaVis, a prototype of an interactive visual urban analytics platform. Evaluation studies with 282 crowd-workers show how the platform can potentially help to speed-up report processing by detecting and aggregating duplicate reports by up to 3 orders of magnitude and discuss which lessons can be learned in terms of features and user experience pitfalls for this kind of system.