Miracle-dz/UniFAR-FTUs huggingface dataset:
Geocoding textual documents through the usage of hierarchical classifiers

In this paper, we evaluate automated techniques, based on a hierarchical representation for the Earth's surface and leveraging SVM classifiers, for assigning geospatial coordinates to previously unseen documents, using only the raw text as input evidence. We report on experiments with Wikipedia documents in four different languages, and with two Twitter datasets from previous studies. We obtained state-of-the-art results, showing that document geocoding can be handled effectively with appropriate bag-of-words representations and with out-of-the-box supervised learning methods.
A Novel Crossed Resonator and Its Applications to Bandpass Filters

A novel open and short stubs loaded crossed resonator and its applications to cross-coupling filter and tri-band bandpass filters are presented in this paper. Based on the lossless transmission line model analysis, it is found that the first three resonance frequencies of the crossed resonator can be conveniently controlled. Benefiting from this feature, the resonator can be utilized to design not only a cascaded triplet (CT) filter, but also a tri-band bandpass filter. The tri-band filter offers two tunable passbands and one fixed passband. The first and third passband frequencies can be tuned effectively by changing the lengths of the stubs. To demonstrate these applications, a CT filter and two tri-band bandpass filters using a crossed resonator are implemented. The experiments verify the theoretical predictions and simulations.
Suggestive linkage on chromosome 1 for a quantitative alcohol-related phenotype.

BACKGROUND Alcohol dependence is a clinically and etiologically heterogeneous disorder. Accordingly, a variety of subtypes of alcohol-dependent individuals have been proposed, and multiple operational definitions of alcohol use, abuse, and dependence have been used in linkage analyses directed toward detecting genes involved in alcohol use and problems. Here, we develop quantitative phenotypes that characterize drinking patterns among both alcoholic and nonalcoholic subjects, and use these phenotypes in subsequent linkage analyses. METHODS More than 9000 individuals from alcoholic and control families were administered a semistructured interview and personality questionnaire as part of the initial stage of the Collaborative Study on the Genetics of Alcoholism (COGA). A principal component analysis was conducted on items that captured many of the dimensions of drinking and related behaviors, including aspects of alcohol use, antisocial behavior and affective disturbance when drinking, and personality. Factor scores were computed for all individuals. Nonparametric linkage analyses were conducted on these factor scores, in the initial COGA sample consisting of 987 individuals from 105 extended families, and in a replication sample consisting of 1295 individuals from 157 extended families. RESULTS Three factors were identified, accounting for 68% of the total variance. The most promising regions of linkage appeared for factor 2, on which higher scores indicate a later age of onset of regular drinking and higher harm avoidance. Chromosome 1 yielded consistent evidence of linkage in both samples, with a maximum lod score of 3.3 when the samples were combined for analysis. Consistent suggestion of linkage also was found to chromosome 15. CONCLUSIONS Developing novel phenotypes that more accurately model the effect of influential genes may help efforts to detect genes involved in complex disorders. Applying principal component analysis in the COGA sample provided support for some regions of linkage previously reported in COGA, and identified other new, promising regions of linkage.
An Other Globalization: Toward a Critical Cosmopolitanism

With this issueNepantla begins a reorientation pointing toward the formation of a truly transdisciplinary and transnational forum open to reflections and debates on current sociopolitical issues and the ethical responsibility that all research and teaching carry with them. Underlying this endeavor is the urgency of reexamining the meaning and feasibility of utopian thinking at a time when dominant macronarratives have proven painfully insufficient, if not recklessly erroneous. Expressions such as “participatory democracy,” “participatory budget,” and the like circulate not only in conversation and in writing but especially in social practices. They allude to the more radical forms of democracy that become possible when multiple avenues for negotiation and dissent, ones that lead vertically and horizontally, are simultaneously opened. Political representation has become increasingly controversial. “Being represented” is less and less a conviction, a belief in democracy that people cherish. Faced with the reality that the state often is not defending their interests but rather siphoning off their rights, their savings, and their dreams, people are becoming less likely to endow their “representatives” with unconditional trust (Krugman 2002; Lewis 2002). One of the questions we have begun to ask is whether we can envision our work in institutions of higher education as “participatory intellectual work,” looking for roads to connect education and training in the social sciences and the humanities with social and political projects aimed at
On fast integration to steady state and earlier times

The integration to steady state of many initial value ODEs and PDEs using the forward Euler method can alternatively be considered as gradient descent for an associated minimization problem. Greedy algorithms such as steepest descent for determining the step size are as slow to reach steady state as is forward Euler integration with the best uniform step size. But other, much faster methods using bolder step size selection exist. Various alternatives are investigated from both theoretical and practical points of view. The steepest descent method is also known for the regularizing or smoothing effect that the first few steps have for certain inverse problems, amounting to a finite time regularization. We further investigate the retention of this property using the faster gradient descent variants in the context of two applications. When the combination of regularization and accuracy demands more than a dozen or so steepest descent steps, the alternatives offer an advantage, even though (indeed because) the absolute stability limit of forward Euler is carefully yet severely violated.
Temporal Disorientation Base Rates in Alzheimers Disease and ParkinsonsDisease

Base rates of impairment on the Temporal Orientation Scale (TOS; Benton et al.,) were reported for normal elderly (n=210) and patients with either Alzheimer’s disease (AD; n=112) or Parkinson’s disease (PD; n=189). The study hypothesis was that disorientation would be more frequent in ADs than in controls and PDs. Base rates for controls, PDs, and ADs were 1.00%, 22.22%, and 78.60% when disorientation was defined as ≥3 errors and 1.00%, 18.52%, and 72.30% when impairment was suggested by ≥4 errors. Receiver operating characteristic (ROC) analyses indicated excellent discrimination between controls and AD (AUC=0.919, 95% CI=0.879-0.958) along with good Sn and excellent Sp. Conversely, discrimination between control and PD groups was poor (AUC=0.642, 95% CI=0.587- 0.697) with low Sn and excellent specificity.
Simulation and Measurement of Ultrasonic Waves in Elastic Plates Using Laser Vibrometry

The propagation of Lamb waves in elastic plates is analyzed both numerically and experimentally. A Scanning Laser Doppler Vibrometer (SLDV) is here used to detect and visualize transient waveforms propagating in an elastic plate at low ultrasonic frequencies. The waves are excited by a piezoelectric crystal glued to the plate surface and actuated by sinusoidal pulses of varying frequency. The pulse sequence is triggered by the SLDV internal controller so that phase and delay information are preserved. Such information allows visualization of the waveform pattern as it propagates over the plate surface. The experiment produces animated displacement maps where the interaction with discontinuities in the plate such as defects becomes apparent. This capability suggests application of the SLDV technique as part of an overall damage detection methodology which combines the recognized sensitivity of ultrasonic waves with the localization of damage via wavefield visualization. The interpretation of the experiment.
Visual Analytics for Enabling Extreme-Scale Scienti ﬁ c Discovery

The growing power of supercomputers has substantially enhanced our capability to simulate complex problems at greater ﬁ delity, leading to high-impact scienti ﬁ c and engineering breakthroughs. Over the years, visualization has become instrumental for analyzing data generated from numerical simulations in many science disciplines. To fully understand such vast amounts of data, scientists need scalable solutions that can perform detailed data analysis at different levels of detail. In this paper, we present techniques that address two dif ﬁ culties faced by computational scientists. The ﬁ rst is deciding what data are the most essential for analysis, given that only a small fraction can be retained. The second is transforming these data into visual representations that rapidly convey the most insight to the viewer. The techniques presented in the paper utilize information theory, fractal analysis, and time-varying data analysis to facilitate effective data summarization.
Score Tests for the Single Index Model

The single index model is a generalization of the linear regression model with E(y|x) = g(x′β), where g is an unknown function. The model provides a flexible alternative to the linear regression model while providing more structure than a fully nonparametric approach. Although the fitting of single index models does not require distributional assumptions on the error term, the properties of the estimates depend on such assumptions, as does practical application of the model. In this article score tests are derived for three potential misspecifications of the single index model: heteroscedasticity in the errors, autocorrelation in the errors, and the omission of an important variable in the linear index. These tests have a similar structure to corresponding tests for nonlinear regression models. Monte Carlo simulations demonstrate that the first two tests hold their nominal size well and have good power properties in identifying model violations, often outperforming other tests. Testing for the need for additional covariates can be effective, but is more difficult. The score tests are applied to three real datasets, demonstrating that the tests can identify important model violations that affect inference, and that approaches that do not take model misspecifications into account can lead to very different results.
Application of RFID and RTLS Technology in Supply Chain Enterprise

Abstract-Radio Frequency Identification (RFID) and Real-Time Location Systems (RTLS), are technologies that have evolved considerably in the past few years. This paper discuss the application perspective of these technologies used in the supply chain, also it analyzes in details that how to use these technologies to bring the significant benefit in every enterprises in the supply chain.
Mesenchymal stem cell–derived molecules directly modulate hepatocellular death and regeneration in vitro and in vivo

Orthotopic liver transplantation is the only proven effective treatment for fulminant hepatic failure (FHF), but its use is limited because of organ donor shortage, associated high costs, and the requirement for lifelong immunosuppression. FHF is usually accompanied by massive hepatocellular death with compensatory liver regeneration that fails to meet the cellular losses. Therefore, therapy aimed at inhibiting cell death and stimulating endogenous repair pathways could offer major benefits in the treatment of FHF. Recent studies have demonstrated that mesenchymal stem cell (MSC) therapy can prevent parenchymal cell loss and promote tissue repair in models of myocardial infarction, acute kidney failure, and stroke through the action of trophic secreted molecules. In this study, we investigated whether MSC therapy can protect the acutely injured liver and stimulate regeneration. In a D‐galactosamine–induced rat model of acute liver injury, we show that systemic infusion of MSC‐conditioned medium (MSC‐CM) provides a significant survival benefit and prevents the release of liver injury biomarkers. Furthermore, MSC‐CM therapy resulted in a 90% reduction of apoptotic hepatocellular death and a three‐fold increment in the number of proliferating hepatocytes. This was accompanied by a dramatic increase in the expression levels of 10 genes known to be up‐regulated during hepatocyte replication. Direct antiapoptotic and promitotic effects of MSC‐CM on hepatocytes were demonstrated using in vitro assays. Conclusion: These data provide the first clear evidence that MSC‐CM therapy provides trophic support to the injured liver by inhibiting hepatocellular death and stimulating regeneration, potentially creating new avenues for the treatment of FHF. (HEPATOLOGY 2008.)
SHOOT FOR THE STARS? PREDICTING THE RECRUITMENT OF PRESTIGIOUS DIRECTORS AT NEWLY PUBLIC FIRMS (SUMMARY)

This study explores how CEOs' and outside directors' desires for the benefits of signaling and "homophily" intertwine with their concerns over maintaining power and preserving local status hierarchies to affect the likelihood a firm recruits prestigious outside directors to its board. Using pooled cross-sectional data on the five years following the initial public offerings (IPOs) of 210 firms that went public between 2001 and 2004, we found that prestigious CEOs and directors viewed the recruitment of prestigious new directors differently and that these perceptions were moderated by factors that increase the salience of risk of potential losses to CEOs and existing board members. [ABSTRACT FROM AUTHOR]
Reformulation of Disturbance Observer design in the frequency domain

This paper presents a simple controller design methodology in the frequency domain for disturbance rejection specifications. It captures the main characteristics at low and high frequencies of a Disturbance Observer Based Control, and solves some of their principal drawbacks in terms of stability and performance specifications, quantifying the inherent limitations for disturbance rejection by means of the available phase. The new technique is applied in the control system of two applications: a hard disk drive and a servo-system position control.
Outage analysis of OFDM AF relaying systems over Nakagami-m fading channels with non-linear power amplifier

This paper presents analysis of outage probability of an amplify-and-forward (AF) orthogonal frequency division multiplexing (OFDM) based relay network with maximal ratio combining (MRC) technique at the receiver. In this paper, a closed-form expression for a tight lower-bound of outage probability is derived under the frequency selective Nakagami-m fading channels, where m is an integer. A non-linear power amplifier (PA) is considered at the relay node which introduces the non-linear distortion. This analysis describes the effect of non-linear PA parameters over outage probability at various signal-to-noise ratio (SNR) levels. The numerical values of outage probability expression is compared with computer simulations to verify the accuracy of the derivation.
Power Provisioning and Relay Positioning for Two-Way Relay Channel With Analog Network Coding

We consider two end users which have asymmetric traffic requirements in terms of both data rate and outage probability. They exchange information in Rayleigh flat-fading channels, and a half-duplex relay node is employed to assist the bidirectional communication between them, using the analog network coding (ANC) protocol. The provision of power levels for each node is investigated so as to minimize the total energy consumed to satisfy the asymmetric traffic requirements. By comparing energy consumptions between ANC strategy and direct transmission strategy, the relay operating region is also identified in which relay-assisted transmission can yield higher energy efficiency than direct transmission. It also indicates that the relay node is best positioned at the middle point of the two end nodes for any asymmetric traffic requirements from the perspective of energy consumption minimization.
Critical Race Theory and Proposition 187: The Racial Politics of Immigration Law

In mid-1993, a group of concerned California residents were fed up. They were tired of the "illegal aliens" 1 whom they blamed for sapping the state's resources. These "aliens" were everywhere: crowding their children out of public schools, crowding welfare offices, and crowding the emergency rooms of hospitals. To attack these problems, these angry residents formed a political movement. They saw themselves as the last hope for California, economically battered and bleeding from tax revolts, race revolts, natural disasters, and the crash of the defense industry. Accordingly, they gave their group a bold name: the "Save Our State" (SOS) movement. Their movement placed Proposition 187 on the November 1994 California ballot a proposal to deny undocumented immigrants the few public benefits to which they are legally entitled. 2 The central question of this Comment is whether Proposition 187 is an attempt to save state resources
A Method of Measuring Dissipative Four-Poles Based on a Modified Wheeler Network

A method of abstracting the parameters of dissipative four-poles from measured data is presented here. This semi-precision method is applicable to symmetric four-poles and results directly in a conveniently symmetric network representation. It is based on the modified Wheeler representation, a new and completely general network, which is introduced in this paper. In addition to the derivation of the network and of the analysis, the relationship that the network bears to its dual, to the impedance Tee, and to the admittance Ri is presented.
Tactical communication systems based on civil standards: Modeling in the MiXiM framework

In this paper, new work is presented belonging to an ongoing study, which evaluates civil communication standards as potential candidates for the future military Wide Band Waveforms (WBWFs). After an evaluation process of possible candidates presented in [2], the selection process in [1] showed that the IEEE 802.11n OFDM could be a possible military WBWF candidate, but it should be further investigated first in order to enhance or even replace critical modules. According to this, some critical modules of the physical layer has been further analyzed in [3] regarding the susceptibility of the OFDM signal under jammer influences. However, the critical modules of the MAC layer (e.g., probabilistic medium access CSMA/CA) have not been analysed. In fact, it was only suggested in [2] to replace this medium access by the better suited Unified Slot Allocation Protocol - Multiple Access (USAP-MA) [4]. In this regard, the present contribution describes the design paradigms of the new MAC layer and explains how the proposed WBWF candidate has been modelled within the MiXiM Framework of the OMNeT++ simulator.
Optimized Neural Network for Improved Electrocardiogram Beat Classification

The performance of neural network as a classifier depends on several factors such as initialization of weights, its architecture, between class imbalance in the dataset, activation function etc. Though a three layered neural network is able to approximate any non-linear function, number of neurons in the hidden layer plays a significant roll in the performance of the classifier. In this study, the importance of the number of hidden layer neurons of neural network is analyzed for the classification of ECG signals. Five different arrhythmias and the normal beat are classified for different number of hidden layer neurons to examine the performance of the classifier. In this study we get the best number as 35. After the training of the neural network with the optimized number of neurons in the hidden layer, we have tested the performance with three different datasets. The average sensitivity, specificity and accuracy achieved is 94.91%,99.69% and 99.46% respectively.
An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework

This letter considers the multiplicative perturbation problem in compressive sensing, which has become an increasingly important issue on obtaining robust performance for practical applications. The problem is formulated in a probabilistic model and an auto-calibration sparse Bayesian learning algorithm is proposed. In this algorithm, signal and perturbation are iteratively estimated to achieve sparsity by leveraging a variational Bayesian expectation maximization technique. Results from numerical experiments have demonstrated that the proposed algorithm has achieved improvements on the accuracy of signal reconstruction.
Bilinear interpolation of geomagnetic field

The real-time attitude angles detection technology of conventional ammunition requires access to the intensity of geomagnetic field with high speed. Thus, bilinear interpolation was proposed and studied to calculate the intensity of geomagnetic field. This interpolation was premised on reducing the factors that may affect geomagnetic field. It only used longitude and latitude as parameters. In each strongest change area, three orthogonal components of geomagnetic field were computed with bilinear interpolation, errors of which were calculated and analyzed by magnetic isoline maps and statistic methods. Then the application of bilinear interpolation to attitude angles detection technology was specified. The results show that the bilinear interpolation, which has high accuracy and rapid calculation speed, could sufficiently meet the requirement of speediness and accuracy.
Adolescents' formal employment and school enrollment: Effects of state welfare policies

Variations in state welfare policies in the reform era may affect adolescents through two mechanisms: A competing labor market hypothesis posits that stringent state welfare policies may reduce adolescent employments and a signaling hypothesis posits that stringent welfare policies may promote enrollment. To test these hypotheses, we use a dynamic joint model of adolescents' school enrollment and formal employment, separating state welfare policies from non-welfare state policies, state labor market conditions, and unobserved state characteristics. Longitudinal data from the NLSY97 on adolescents aged 14 to 18 and various state data sources over the period 1994-1999 support the competing labor market effect but not the signaling effect. In particular, lower-income dropouts suffer more severely from fewer labor market opportunities when state welfare policies are more stringent, which indicates that welfare reform may compromise work opportunities for lower-income dropouts. © 2004 by the Association for Public Policy Analysis and Management.