Miracle-dz/UniFAR-FTUs huggingface dataset:
System Identification in the Short-Time Fourier Transform Domain With Crossband Filtering

In this paper, we investigate the influence of crossband filters on a system identifier implemented in the short-time Fourier transform (STFT) domain. We derive analytical relations between the number of crossband filters, which are useful for system identification in the STFT domain, and the power and length of the input signal. We show that increasing the number of crossband filters not necessarily implies a lower steady-state mean-square error (mse) in subbands. The number of useful crossband filters depends on the power ratio between the input signal and the additive noise signal. Furthermore, it depends on the effective length of input signal employed for system identification, which is restricted to enable tracking capability of the algorithm during time variations in the system. As the power of input signal increases or as the time variations in the system become slower, a larger number of crossband filters may be utilized. The proposed subband approach is compared to the conventional fullband approach and to the commonly used subband approach that relies on multiplicative transfer function (MTF) approximation. The comparison is carried out in terms of mse performance and computational complexity. Experimental results verify the theoretical derivations and demonstrate the relations between the number of useful crossband filters and the power and length of the input signal
BASIC TWIST QUANTIZATION OF osp(1|2) AND κ-DEFORMATION OF D = 1 SUPERCONFORMAL MECHANICS

The twisting function describing a nonstandard (super-Jordanian) quantum deformation of osp(1|2) is given in explicit closed form. The quantum coproducts and universal R-matrix are presented. The non-uniqueness of the twisting function as well as two real forms of the deformed osp(1|2) superalgebras are considered. One real quantum osp(1|2) superalgebra is interpreted as describing the κ-deformation of D = 1, N = 1 superconformal algebra, which can be applied as a symmetry algebra of N = 1 superconformal mechanics.
Karakteristik ibu (usia, paritas, pendidikan) dan dukungan keluarga dengan kecemasan ibu hamil trimester III

Latar Belakang: Kehamilan dapat menjadi sumber stressor kecemasan, terutama pada kehamilan trimester III. Berdasarkan penelitian menunjukkan sebagian besar (70,3%) ibu hamil trimester III mengalami kecemasan Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan usia, paritas, pendidikan, dan dukungan keluarga atau suami dengan kecemasan pada ibu hamil trimester III. Metode: Desain penelitian ini survei analitik dengan pendekatan cross sectional, populasinya seluruh ibu hamil trimester III, sampelnya seluruh ibu hamil trimester III yang memenuhi kriteria yaitu berjumlah 56 ibu, pengambilan sampel dengan teknik non probability sampling secara accidental sampling menggunakan kuesioner. Pengukuran tingkat kecemasan menggunakan skala HARS (Hamilton Anxiety Rating Scale) . Hasil: Hasil penelitian menunjukkan sebagian besar ibu hamil memiliki usia tidak beresiko, paritas multigravida, berpendidikan SMA/SMK, mendapatkan dukungan dari keluarga, dan tidak mengalami kecemasan. Ada hubungan usia dengan kecemasan ( p<0,01) , ada hubungan paritas dengan kecemasan ( p<0,01) , ada hubungan pendidikan dengan kecemasan ( p<0,01) , ada hubungan dukungan keluarga dengan kecemasan ( p<0,01) . Kesimpulan: Ada hubungan antara usia, paritas, pendidikan, dan dukungan keluarga dengan kecemasan ibu hamil trimester III.
Domain Tuning of Bilingual Lexicons for MT Necip

Our overall objective is to translate a domain-specific document in a foreign language (in this case, Chinese) to English. Using automatically induced domain-specific, comparable documents and language-independent clustering, we apply domain-tuning techniques to a bilingual lexicon for downstream translation of the input document to English. We will describe our domain-tuning technique and demonstrate its effectiveness by comparing our results to manually constructed domain-specific vocabulary. Our coverage/accuracy experiments indicate that domain-tuned lexicons achieve 88% precision and 66% recall. We also ran a Bleu experiment to compare our domain-tuned version to its un-tuned counterpart in an IBM-style MT system. Our domain-tuned lexicons brought about an improvement in the Bleu scores: 9.4% higher than a system trained on a uniformly-weighted dictionary and 275% higher than a system trained on no dictionary at all.
What factors best explain national identification among Muslim adolescents? Evidence from four European countries

ABSTRACT An important public debate in contemporary Europe is whether immigrant-origin Muslims will successfully integrate into mainstream society. We engage those debates by analysing national identification among immigrant-origin Muslim adolescents in England, Germany, the Netherlands, and Sweden. A common argument is that the Islamic religion prevents Muslims from integrating because its practices are incompatible with mainstream European culture. However, we find that religiosity is not the most important predictor of Muslim identification. Instead, citizenship, contact with the native majority, and perceived discrimination are all as important as religiosity for predicting Muslim national identification. In addition, we find the same relationships between these variables and national identification among Muslim and non-Muslim immigrant-origin adolescents. Country of birth, host language proficiency, and socio-economic status, by contrast, are less important predictors of national identification of both groups. In sum, our findings suggest that Muslims are not necessarily a uniquely problematic population, as their national identification is best understood through dynamics that affect immigrants more broadly rather than Muslims specifically, though more research is necessary to identify specific causal pathways.
How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes?

We apply genetic algorithms to the Hop eld's neural network model of associative memory. Previously, we observed that random synaptic weights of a network evolved to create the xed point attractors in pattern space exactly at the locations corresponding to a set of given patterns to be stored. In that simulation, a weight con guration was represented as a sequence of genes which might be called a haploid chromosome. Then, a population of these haploid chromosomes underwent evolution. In this paper, we employ diploid chromosomes, a pair of chromosomes. We have reported elsewhere two di erent versions of this evolution. One is the evolution of the Hebbian synapses in which some of the synapses are adaptively pruned according to information in diploid chromosomes. The other is the evolution of random synaptic weights whose values are restricted to 1, and are encoded directly into diploid chromosomes. Here, we describe the evolution of real-valued random synaptic weights. keywords Hop eld model of associative memory, genetic algorithm, diploid chromosome.
Monophyly, Divergence Times, and Evolution of Host Plant Use Inferred from a Revised Phylogeny of the Drosophila Repleta Species Group

Keywords: Drosophila repleta species group Host plants Molecular phylogeny Molecular clock Cactus Biogeography a b s t r a c t We present a revised molecular phylogeny of the Drosophila repleta group including 62 repleta group taxa and nine outgroup species based on four mitochondrial and six nuclear DNA sequence fragments. With ca. 100 species endemic to the New World, the repleta species group represents one of the major species radiations in the genus Drosophila. Most repleta group species are associated with cacti in arid or semiarid regions. Contrary to previous results, maximum likelihood and Bayesian phylogenies of the 10-gene data-set strongly support the monophyly of the repleta group. Several previously described subdivisions in the group were also recovered, despite poorly resolved relationships between these clades. Divergence time estimates suggested that the repleta group split from its sister group about 21 million years ago (Mya), although diversification of the crown group began ca. 16 Mya. Character mapping of patterns of host plant use showed that flat leaf Opuntia use is common throughout the phylogeny and that shifts in host use from Opuntia to the more chemically complex columnar cacti occurred several times independently during the history of this group. Although some species retained the use of Opuntia after acquiring the use of columnar cacti, there were multiple, phylogenetically independent instances of columnar cactus specialization with loss of Opuntia as a host. Concordant with our proposed timing of host use shifts, these dates are consistent with the suggested times when the Opuntioideae originated in South America. We discuss the generally accepted South American origin of the repleta group.
PreImplantation factor promotes neuroprotection by targeting microRNA let-7

Significance Secreted from viable embryos into the maternal circulation, PreImplantation factor (PIF) has long been implicated in modulating maternal immune tolerance and promoting embryo implantation. Recent evidence also suggests its possible therapeutic use in CNS disorders. However, the molecular signal-transduction pathways driving PIF-mediated effects are unclear. Using murine cell culture combined with a rat hypoxic-ischemic brain injury model, we show that synthetic PIF (sPIF) inhibits microRNA let-7 biogenesis by destabilizing the key microRNA-processing protein, KH-type splicing regulatory protein, in a Toll-like receptor 4–dependent manner. This regulation, together with its induced upregulation of the anti-inflammatory cytokine IL-10, may contribute to sPIF-mediated neuroprotection in vivo and also may underlie PIF's physiological role in maternal immune modulation and embryo implantation. Dysfunction and loss of neurons are the major characteristics of CNS disorders that include stroke, multiple sclerosis, and Alzheimer’s disease. Activation of the Toll-like receptor 7 by extracellular microRNA let-7, a highly expressed microRNA in the CNS, induces neuronal cell death. Let-7 released from injured neurons and immune cells acts on neighboring cells, exacerbating CNS damage. Here we show that a synthetic peptide analogous to the mammalian PreImplantation factor (PIF) secreted by developing embryos and which is present in the maternal circulation during pregnancy inhibits the biogenesis of let-7 in both neuronal and immune cells of the mouse. The synthetic peptide, sPIF, destabilizes KH-type splicing regulatory protein (KSRP), a key microRNA-processing protein, in a Toll-like receptor 4 (TLR4)–dependent manner, leading to decreased production of let-7. Furthermore, s.c. administration of sPIF into neonatal rats following hypoxic-ischemic brain injury robustly rescued cortical volume and number of neurons and decreased the detrimental glial response, as is consistent with diminished levels of KSRP and let-7 in sPIF-treated brains. Our results reveal a previously unexpected mechanism of action of PIF and underscore the potential clinical utility of sPIF in treating hypoxic-ischemic brain damage. The newly identified PIF/TLR4/KSRP/let-7 regulatory axis also may operate during embryo implantation and development.
Unlocking Biomarker Discovery: Large Scale Application of Aptamer Proteomic Technology for Early Detection of Lung Cancer

Background Lung cancer is the leading cause of cancer deaths worldwide. New diagnostics are needed to detect early stage lung cancer because it may be cured with surgery. However, most cases are diagnosed too late for curative surgery. Here we present a comprehensive clinical biomarker study of lung cancer and the first large-scale clinical application of a new aptamer-based proteomic technology to discover blood protein biomarkers in disease. Methodology/Principal Findings We conducted a multi-center case-control study in archived serum samples from 1,326 subjects from four independent studies of non-small cell lung cancer (NSCLC) in long-term tobacco-exposed populations. Sera were collected and processed under uniform protocols. Case sera were collected from 291 patients within 8 weeks of the first biopsy-proven lung cancer and prior to tumor removal by surgery. Control sera were collected from 1,035 asymptomatic study participants with ≥10 pack-years of cigarette smoking. We measured 813 proteins in each sample with a new aptamer-based proteomic technology, identified 44 candidate biomarkers, and developed a 12-protein panel (cadherin-1, CD30 ligand, endostatin, HSP90α, LRIG3, MIP-4, pleiotrophin, PRKCI, RGM-C, SCF-sR, sL-selectin, and YES) that discriminates NSCLC from controls with 91% sensitivity and 84% specificity in cross-validated training and 89% sensitivity and 83% specificity in a separate verification set, with similar performance for early and late stage NSCLC. Conclusions/Significance This study is a significant advance in clinical proteomics in an area of high unmet clinical need. Our analysis exceeds the breadth and dynamic range of proteome interrogated of previously published clinical studies of broad serum proteome profiling platforms including mass spectrometry, antibody arrays, and autoantibody arrays. The sensitivity and specificity of our 12-biomarker panel improves upon published protein and gene expression panels. Separate verification of classifier performance provides evidence against over-fitting and is encouraging for the next development phase, independent validation. This careful study provides a solid foundation to develop tests sorely needed to identify early stage lung cancer.
Kinematic and dynamic modeling of Nanostructured Origami

Nanostructured Origami is a manufacturing process that folds nanopatterned thin films into a desired 3D shape. This process extends the properties of 3D design and connectivity found in origami artwork to the bulk fabrication of 3D nanostructures. Our technique is a two-step procedure that first patterns the devices in 2D and then folds the membranes to the final 3D shape along pre-defined creases. This thesis describes theoretical methods that have been developed to model the actuation of origami devices. The background of origami mathematics and advances in robotics are presented in the context of modeling Nanostructured Origami. Unfolding of single-vertex origami is discussed, and an algorithm is implemented to calculate the unfolding trajectories of several devices. Another contribution of this thesis is the presentation of a methodology for modeling the dynamics of two classes of origami: accordion origamis and single-vertex origamis. The forward dynamics and equilibrium analysis of a useful bridge structure and the corner cube origami are simulated. The response of a model of an experimental actuation technique is wellbehaved, and it is shown that the final folded state of these devices is at a stable equilibrium. Research Head: Prof. George Barbastathis Title: Associate Professor of Mechanical Engineering
Potential and limitations of forward-looking bistatic SAR

Bistatic synthetic aperture radar (SAR) operateswith spatially separated transmit and receive antennas that are mounted on separated platforms. Provided that there is an overlap of both antenna footprints, the platforms can move with different velocities in arbitrary directions. A special configuration is given, when the receive antenna looks in forward direction, which is called bistatic forward-looking SAR. Besides the well known advantages of bistatic SAR like the increased information content of the data because of different RCS and scattering characteristics, such a configuration enables high resolution imaging in forward direction, which is not possible with conventional monostatic SAR systems. This paper analyzes a bistatic forward-looking configuration and demonstrates the capability and feasibility of imaging in forward or backward direction using the radar satellite TerraSAR-X as transmitter and the airborne SAR system PAMIR as receiver.
Automatically verifying reachability and well-formedness in P4 Networks

P4 allows a new level of dynamism for routers beyond OpenFlow 1.4 by allowing headers and tables to be modified by software in the field. Without care, P4 can unleash a new wave of software bugs. Existing tools (e.g., VeriFlow, NetPlumber, Hassel, NoD) cannot model changes to forwarding behaviors without reprogramming tool internals or having users manually add new forwarding models. Further, a P4 network can introduce a new class of bugs (not tested for by existing tools) wherein the P4 network creates malformed packets. To attack these two problems, we provide an operational semantics for P4 constructs and use it to compile P4 to Datalog so that the verification model can be automatically updated as the network changes. We demonstrate this vision by compiling the mTag example in the P4 specification (and a new sTag security example) on a sample network and by automatically detecting forwarding bugs. Efficiently verifying (across all table entries and packet headers) that a P4 network only delivers well-formed packets takes a few seconds.
Producing African-descent: afro-peruvian music, intangible heritage, authenticity and bureaucracy in a Latin American music compilation

ABSTRACT Policy and actions for the safeguarding of Intangible Cultural Heritage (ICH) are laced with politics of representation and meaning-making of expressive culture within and outside communities. This article explores how ICH experts, practitioners, activists, and other actors negotiate and re-construct ideas of racial identity and authenticity in one such initiative. Sponsored by CRESPIAL in 2012, the album Cantos y Música Afrodescendientes de América Latina is a compilation of music of Afro-descendant communities in Latin America. Conceived as a project for safeguarding the musical ICH of these communities, it involved participation from thirteen Latin American governments. This paper, centered on the Peruvian participation in this project, studies the bureaucratic intricacies of this project, exploring how ideas on racial identity and authenticity overlap with political agendas and administrative requirements in order to produce a unified representation of ‘Afro-Latin American’ music. My analysis highlights 1) the local knowledge systems that inform the ideas of racial identity and authenticity advanced by the project’s actors; 2) their adopted strategies within Peru’s bureaucratic network of heritage management; and 3) the positionality, capacity and agency of each actor for achieving their particular goals in this collaborative project.
Board gender diversity and firm performance : The impact of information environment

Prior literature documents higher level of board functioning when women directors are on boards but the impact on firm performance is unclear. Yet, corporate governance proponents, social activists and governments are seeking greater representation of women on corporate boards. The performance impact of greater monitoring has been shown to depend on firms’ information environments. We hypothesize and find that the performance impact of women directors depends on firms’ information environments as well as their prior experience. Specifically, women directors appear to be more beneficial in less opaque firms. Women directors with senior corporate experience are associated with higher firm performance relative to women directors with lower level corporate and non-corporate experience. Consistent with these valuation effects, we find that firms appear to take into account their information environment while deciding on appointing women directors.
Rank-Deficient Nonlinear Least Squares Problems and Subset Selection

We examine the local convergence of the Levenberg-Marquardt method for the solution of nonlinear least squares problems that are rank-deficient and have nonzero residual. We show that replacing the Jacobian by a truncated singular value decomposition can be numerically unstable. We recommend instead the use of subset selection. We corroborate our recommendations by perturbation analyses and numerical experiments.
Morphology of the Virgo cluster: Gas versus galaxies

We draw a quantitative comparison of the distribu- tion of the galaxies and the intra-cluster gas in the Virgo clus- ter by extending the morphological analysis by Binggeli et al. (1987) to the intra-cluster gas. We use the Virgo Cluster Catalog in combination with data from the ROSAT All-Sky Survey. The galaxy distribution and the gas distribution are relatively sim- ilar. The steep density gradient southwest of M87 previously observed in the optical is also seen in the X-ray emission. In both wavebands the irregular structure of Virgo can be decom- posed into three major subclusters centred on M87, M49, and M86. A new statistical method of subcluster decomposition is applied. Radial galaxy and X-ray density profiles of the three subclusters are fitted with -models, allowing analytic depro- jection. Comparison of these profiles reveals no significant dif- ference between the galaxy number density and the smoothed galaxy luminosity density if the inner part is excluded ( r< 60 0 , dominated by the central giant galaxy), i.e. there is no general luminosity segregation in the cluster. The gas density profile is steeper than the galaxy density profile in the inner part (again excluding the central galaxy), while this trend is reversed in the outer part. The turning point is around 300 kpc. A compari- son among the subclusters shows the poorer the subcluster the steeper its radial profile, i.e. the more compact it is, both in the optical and the X-rays. This is in general agreement with recent N-body simulations by Navarro et al. (1997). The subcluster pro- files for different Hubble types confirm the well-known result that the distribution of the late-type galaxies is more extended than the early types. Differential and integrated mass density profiles of the different components in the M87 and M49 sub- clusters are presented. The total, gravitating mass (dominated by dark matter) is inferred from the distribution of the X-ray gas assuming hydrostatic equilibrium. In the M87 subcluster the gas mass is about three times the mass in galaxies (assum- ing a constant M=L = 20 for the single galaxies), while it ac- counts only for 8% to 14% of the total mass at 0.4 and 1 Mpc, respectively. In the M49 subcluster there is more mass in the galaxies than in the gas and the gas-to-total mass fraction is only 1%, which is unusually low for a cluster. The profiles of the projected mass-to-light ratio show relatively constant values around 500M=L;B.
An Energy-Efficient Clustering Using a Round-Robin Method in a Wireless Sensor Network

The routing algorithm used in the wireless sensor network features the clustering method to reduce the amount of data transmission from the energy efficiency perspective. However, the clustering method results in high energy consumption at the cluster head node. Dynamic clustering is a method used to resolve such a problem by distributing energy consumption through the re-selection of the cluster head node. Still, dynamic clustering modifies the cluster structure every time the cluster head node is re-selected, which causes energy consumption. In other words, the dynamic clustering approaches examined in previous studies involve the repetitive processes of cluster head node selection. This consumes a high amount of energy during the set-up process of cluster generation. In order to resolve the energy consumption problem associated with the repetitive set-up, this paper proposes the round-robin cluster header (RRCH) method that fixes the cluster and selects the head node in a round-robin method The RRCH approach is an energy-efficient method that realizes consistent and balanced energy consumption in each node of a generated cluster to prevent repetitious set-up processes as in the LEACH method. The propriety of the proposed method is substantiated with a simulation experiment.