Miracle-dz/UniFAR-FTUs huggingface dataset:
An Acoustic Echo Cancellation Technique Based on Kurtosis Subgradient Projection Algorithm

Based on the technique of projection onto convex sets (POCS), a kurtosis subgradient projection (KSP) algorithm is proposed in this paper which is applied in the scheme of the acoustic echo cancellation successfully. KSP algorithm utilizes the kurtosis of error signal after adaptive filtering as the projection area and expands this projection area to half space by using the definition of subgradient. Finally a simply projection expression can be got by projecting onto this half space. Experiments indicate that not only the convergence speed is increased but also the robustness to noise is enhanced compared to traditional method. Additionally, system performance gets promoted evaluated either by mean square error (MSE) or by echo path misalignment.
Music Genre Classification Using Temporal Information and Support Vector Machine

This paper proposes a novel content-based music genre classification method using temporal information and support vector machine. By processing of texture window statistics and delta computation, temporal information is incorporated to capture the time-varying behavior of music. 7 different temporal evolution descriptors applied in texture window are introduced in this paper, i.e., mean, standard deviation, maximum, minimum, temporal centroid, temporal skewness and temporal kurtosis. 4 different ways of representing a music clip are proposed and compared. The experimental results show that temporal information modeled by delta computation and texture window statistics is very effective and efficient in music genre classification. This paper uses a dataset consisting of 1000 30-sec music clips equally divided into 10 music genres, namely classical, blues, jazz, country, rock, metal, reggae, hiphop, disco and pop. The best classification accuracy achieved is 78.6% for this 10-class music genre classification.
Detecting and Correlating Video-Based Event Patterns: An Ontology Driven Approach

With increasing amount of information (video, text) being available today, it has become non-trivial to develop techniques to categorize documents into contextually meaningful classes. The information as available in the documents is composed of sequence of events termed as patterns. It is evident to know the important trends as observed from patterns that are emerging over a specific time period and space. For identifying the patterns, we must focus on semantic meaning of documents. Tracing such patterns in videos or texts manually is a time-consuming, cumbersome or an impossible task. So, in this paper we have devised an unsupervised trend discovery approach that detects and correlates event patterns from videos temporally as well as spatially. We begin by building our own document collection on the basis of contextual meaning of documents. This helps in associating an input video with another video or text documents on the basis of their semantic meaning. This approach helps in accumulating variety of information that is scattered over the web thus providing relatively complete information about the video. The highly correlated words are grouped in a topic using Latent Dirichlet Allocation (LDA). To identify topics an E-MOWL based ontology is used. This event ontology helps in discovering associations and relations between the various events. With this kind of representation, the users can infer different concepts as emerged over time. For identifying the various spatial patterns that exist corresponding to an event in a document, we have utilized geographic ontology (Geoontology). We establish validity of our approach using experimental results.
Visibility maintenance of a moving segment observer inside polygons with holes

We analyze how to efficiently maintain and update the visibility polygons for a segment observer moving in a polygonal domain. The space and time requirements for preprocessing are O(n 2 ) and after preprocessing, visibility change events for weak and strong visibility can be handled in O(log |VP |) and O(log( |VP 1| + |VP 2|)) respectively, or O(log n) in which |VP | is the size of the line segment’s visibility polygon and |VP 1| and |VP 2| represent the number of vertices in the visibility polygons of the line segment endpoints.
Multilingual Off-Line Handwriting Recognition in Real-World Images

We propose a state-of-the-art system for recognizing real-world handwritten images exposing a huge degree of noise and a high out-of-vocabulary rate. We describe methods for successful image demising, line removal, deskewing, deslanting, and text line segmentation. We demonstrate how to use a HMM-based recognition system to obtain competitive results, and how to further improve it using LSTM neural networks in the tandem approach. The final system outperforms other approaches on a new dataset for English and French handwriting. The presented framework scales well across other standard datasets.
PRIME SIMPLE KNOTS IN HIGHER DIMENSIONS

An n-knot k is an oriented smooth or locally-flat PL pair ( S, S ) . Let K denote the closed complement of a regular neighbourhood of S in S. If K has the [(n− 1)/2]-homotopy-type of a circle, then k is simple. The following facts are well-known in knot theory. By the result of Hurewicz, π1(K) abelianises to H1(K), which by Alexander duality is isomorphic to (t :), the infinite cyclic group written multiplicatively with a preferred generator t determined by the orientations and the duality isomorphisms. Let K̃ be the infinite cyclic cover of K corresponding to the commutator subgroup of π1(K); then (t :) acts on K̃ as the group of covering transformations, and H∗ ( K̃ ) is a Z [ t, t−1 ] -module. For a
Statistical analysis of multilayer perceptrons performances

The paper is based on a series of studies on the learning capabilities of multilayered perceptrons (MLP). The complexity of these nonlinear systems can be varied, acting for instance on the number of hidden units, but we will be confronted with a choice dilemma, concerning the optimal complexity of the system for a given problem. By the mean of statistical methods, we have found that the effective number of hidden units is smaller than the potential size; some units have a "binary" activation level or a time constant activation. We also prove that weight initialization to small values is recommended and reduce the effective size of the hidden layer.
Transition-based testability analysis for reactive systems

Reactive systems are often designed as two parts: computation part and control part. The computation part is modeled by operator diagrams, while the control part is modeled by transition-based models. In this paper, we concentrate on analyzing testability of control part by basing upon transition-based models. We first transform transition-based models into Markov chains by augmenting probability information. Then, testability measures are proposed from Markov chains as an estimate of testing effort for reaching state coverage and path coverage. The approach is applied to a case study and the obtained measures are compared to the testing effort required by a test generation tool. The results shows some interesting perspectives.
Survey of DCA for Abnormal Detection

As a latest immune algorithm, dendritic cell algorithm (DCA) has been successfully applied into the abnormal detection. First, this paper reviewed the research progress of DCA from the following aspects: signal extraction technology, DCA signal processing technology, the decision method for load anomaly judgment, and the application research of DCA. Next, the corresponding solving thoughts for the main problems existing in the DCA were proposed in this paper. Finally, the future research trends of DCA were presented in this paper.
Exacerbation of murine listeriosis by a monoclonal antibody specific for the type 3 complement receptor of myelomonocytic cells. Absence of monocytes at infective foci allows Listeria to multiply in nonphagocytic cells

Treatment of mice with a rat mAb (5C6) specific for an epitope of the type 3 complement receptor of myelomonocytic cells severely interfered with the ability of the mice to resist infection with Listeria monocytogenes. Consequently, a sublethal infection was rapidly converted to a lethal one that resulted in death in 5 d. However, infection was only exacerbated if 5C6 was given earlier in infection, before mononuclear phagocytes populated sites of Listeria implantation in the liver and spleen. If given after day 3 of infection, 5C6 caused only a temporary increase in bacterial multiplication. The infection- enhancing effect of 5C6 was associated with failure of mice to focus mononuclear phagocytes at sites of bacterial multiplication of Listeria in liver hepatocytes and extracellulary in the spleen. This resulted in unrestricted multiplication of Listeria in hepatocytes and extracellularly in the spleen. The results are in keeping with the ability of 5C6 to inhibit the accumulation of myelomonocytic cells in peritoneal inflammatory exudates, as revealed by a previous study.
Effects of total sleep deprivation on executive function in young men

Objective:To explore the effect of total sleep deprivation(TSD)on executive function using event related potential(ERP)technology.Methods:Fourteen healthy male college students participated in two trials.In the first trial they had a normal sleep and the results were taken as control.In the second trail they experienced 36 hours of sleep deprivation.In each trial the subjects were tested by five Go/Nogo tasks before Nogo-N2,Nogo-P3 amplitude and latency of ERP,and behavioral data were recorded.Results:As time points were concerned,the amplitude of Nogo-N2 on Fz electrode decreased after 12 h when compared to the baseline[(-5.21±2.62)μV vs.(-6.66±3.19)μV]. The amplitude and latency of Nogo-P3 on Fz electrode changed after 24h.The amplitude decreased while the latency was extended when compared to the baseline[(8.51±7.34)μV vs.(11.80± 6.70)μV;(376.36±38.68)ms vs.(364.10± 39.97)ms]. In terms of sleep,the subjects experienced sleep deprivation had lower amplitude of Nogo-N2 and Nogo-P3 than their normal sleep situation[(-4.91±3.27)μV vs.(-6.06±2.96)μV;(8.43±6.65)μV vs.(9.97±6.36)μV]. The latency of Nogo-P3 on Cz electrode was longer than the normal value[(375.40±39.55)ms vs.(364.96± 39.17)ms]. Conclusion:With the prolonging of sleep deprivation,the amplitudes of Nogo-N2 and Nogo-P3 tend to decrease while the latencies are extended gradually.This indicates that the executive function may be impaired after 36 hours of total sleep deprivation.
Taxol-dependent mutants of Chinese hamster ovary cells with alterations in alpha- and beta-tubulin

Chinese hamster ovary cell mutants resistant to the microtubule stabilizing drug taxol were isolated in a single step. Of these 139 drug-resistant mutants, 59 exhibit an absolute requirement for taxol for normal growth and division, 13 have a partial requirement, and 69 grow normally without the drug. Two-dimensional gel analysis of whole cell proteins reveal "extra" spots representing altered tubulins in 13 of the mutants. Six of these have an altered alpha-tubulin and seven have an altered beta-tubulin. Cells with an absolute dependence on taxol become large and multinucleated when deprived of the drug. In contrast, partially dependent cells exhibit some multinucleation, but most cells appear normal. In one mutant that has an absolute dependence on taxol, the cells appear to die more quickly and their nuclei do not increase in size or number. As previously found for another taxol- dependent mutant (Cabral, F., 1983, J. Cell. Biol., 97:22-29), the taxol dependence of the mutants described in this paper behaves recessively in somatic cell hybrids, and the cells are more susceptible to being killed by colcemid than are the wild-type parental cells. When compared with wild-type cells, taxol-dependent mutants have normal arrays of cytoplasmic microtubules but form much smaller mitotic spindles in the presence of taxol. When deprived of the drug, however, these mutants cannot complete assembly of the mitotic spindle apparatus, as judged by tubulin immunofluorescence. Thus, the defects leading to taxol dependence in these mutants with defined alterations in alpha- and beta-tubulin appear to result from the cell's inability to form a functional mitotic spindle. Reversion analysis indicates that the properties of at least one alpha-tubulin mutant are conferred by the altered tubulin seen on two-dimensional gels.
Surgery of pulmonary aspergillomas in immunocompromised patients

Introduction: Pulmonary aspergillosis is a devastating complication in immunocompromised patients. Timing of surgery is controversial and depends on the patients' general condition. Methods: From 2000 to 2007, 16 patients (mean age 47 years, range 20–64) underwent surgery for pulmonary aspergillosis. All patients were receiving immunosuppressive drugs due to chemotherapy of hematological malignancies, ten with additional bone marrow or stem cell transplantation. Perioperatively, aspergillosis was treated with antifungal agents. If granulocyte numbers in the peripheral blood was below 1.0x109/l, granulocyte stimulating factor and granulocyte transfusions were administered perioperatively. Results: Four patients underwent lobectomy and wedge resections of the same lung, one patient bilobectomy, two patients lobectomy, eight patients wedge resections of one lung, and one patient wedge resections of both lungs. All patients survived surgery without major complications. Five patients were bone marrow or stem cell transplanted 1, 2, 3, 7 and 10 months after surgery. Three of them died due to recurrence of the underlying malignancy. All other patients are alive and free of fungal disease. Conclusions: Timing of surgery in the context of antifungal therapy and adequate numbers of granulocytes and platelets in the peripheral blood appear essential for successful surgical therapy and avoidance of major complications.
Differential Involvement of Brain-Derived Neurotrophic Factor in Reconsolidation and Consolidation of Conditioned Taste Aversion Memory

Consolidated memory can re-enter states of transient instability following reactivation, which is referred to as reconsolidation, and the exact molecular mechanisms underlying this process remain unexplored. Brain-derived neurotrophic factor (BDNF) plays a critical role in synaptic plasticity and memory processes. We have recently observed that BDNF signaling in the central nuclei of the amygdala (CeA) and insular cortex (IC) was involved in the consolidation of conditioned taste aversion (CTA) memory. However, whether BDNF in the CeA or IC is required for memory reconsolidation is still unclear. In the present study, using a CTA memory paradigm, we observed increased BDNF expression in the IC but not in the CeA during CTA reconsolidation. We further determined that BDNF synthesis and signaling in the IC but not in the CeA was required for memory reconsolidation. The differential, spatial-specific roles of BDNF in memory consolidation and reconsolidation suggest that dissociative molecular mechanisms underlie reconsolidation and consolidation, which might provide novel targets for manipulating newly encoded and reactivated memories without causing universal amnesia.
Effect of Facilitation on Practice Outcomes in the National Demonstration Project Model of the Patient-Centered Medical Home

PURPOSE The objective of this study was to elucidate the effect of facilitation on practice outcomes in the 2-year patient-centered medical home (PCMH) National Demonstration Project (NDP) intervention, and to describe practices’ experience in implementing different components of the NDP model of the PCMH. METHODS Thirty-six family practices were randomized to a facilitated intervention group or a self-directed intervention group. We measured 3 practice-level outcomes: (1) the proportion of 39 components of the NDP model that practices implemented, (2) the aggregate patient rating of the practices’ PCMH attributes, and (3) the practices’ ability to make and sustain change, which we term adaptive reserve. We used a repeated-measures analysis of variance to test the intervention effects. RESULTS By the end of the 2 years of the NDP, practices in both facilitated and self-directed groups had at least 70% of the NDP model components in place. Implementation was relatively harder if the model component affected multiple roles and processes, required coordination across work units, necessitated additional resources and expertise, or challenged the traditional model of primary care. Electronic visits, group visits, team-based care, wellness promotion, and proactive population management presented the greatest challenges. Controlling for baseline differences and practice size, facilitated practices had greater increases in adaptive reserve (group difference by time, P = .005) and the proportion of NDP model components implemented (group difference by time, P=.02); the latter increased from 42% to 72% in the facilitated group and from 54% to 70% in the self-directed group. Patient ratings of the practices’ PCMH attributes did not differ between groups and, in fact, diminished in both of them. CONCLUSIONS Highly motivated practices can implement many components of the PCMH in 2 years, but apparently at a cost of diminishing the patient’s experience of care. Intense facilitation increases the number of components implemented and improves practices’ adaptive reserve. Longer follow-up is needed to assess the sustained and evolving effects of moving independent practices toward PCMHs
Protein grafting of an HIV-1-inhibiting epitope

Protein grafting, the transfer of a binding epitope of one ligand onto the surface of another protein, is a potentially powerful technique for presenting peptides in preformed and active three-dimensional conformations. Its utility, however, has been limited by low biological activity of the designed ligands and low tolerance of the protein scaffolds to surface substitutions. Here, we graft the complete binding epitope (19 nonconsecutive amino acids with a solvent-accessible surface area of >2,000 Å2) of an HIV-1 C-peptide, which is derived from the C-terminal region of HIV-1 gp41 and potently inhibits HIV-1 entry into cells, onto the surface of a GCN4 leucine zipper. The designed peptide, named C34coil, displays a potent antiviral activity approaching that of the native ligand. Moreover, whereas the linear C-peptide is unstructured and sensitive to degradation by proteases, C34coil is well structured, conformationally stable, and exhibits increased resistance to proteolytic degradation compared with the linear peptide. In addition to being a structured antiviral inhibitor, C34coil may also serve as the basis for the development of an alternative class of immunogens. This study demonstrates that “one-shot” protein grafting, without subsequent rounds of optimization, can be used to create ligands with structural conformations and improved biomedical properties.
A transformer based 1 . 8-GHz low-IF receiver for 1 V in 0 . 13-μ m CMOS

A fully integrated low-IF receiver for 1.8GHz in 0.13-μm CMOS is presented. The receiver consists of a VCO, an IQ-divider, an LNA, and a double balanced IQ-mixer. The RF input stage and the commutating stage of the IQ-mixer are current coupled via an on-chip transformer which is operating in resonant mode and is performing a current gain. A design method is presented to reduce the input impedance of the mixer’s commutating stage in order to improve the current gain of the on-chip transformer. The receiver takes 25.7mA from a 1-V supply to give an input IP3 of -20.3dBm, an input referred 1-dB compression point of -30.7dBm, a conversion gain of 29.2dB and a noise figure of 3.0dB.
Space shuttle UHF communications performance evaluation

An extension boom is to be installed on the starboard side of the Space Shuttle orbiter (SSO) payload bay for thermal tile inspection and repairing. As a result, the Space Shuttle payload bay ultra high frequency (UHF) antenna has been under the boom. This study is to evaluate the space shuttle UHF communication performance for antenna at a suitable new location. To ensure the communication coverage performance at the proposed new locations, the link margin between the UHF payload bay antenna and extravehicular activity (EVA) astronauts (SSO-EVA) in the upper hemisphere at a range distance of 160 meters from the payload bay antenna was analyzed. The communication performance between Space Shuttle orbiter and International Space Station (SSO-ISS) during rendezvous was also investigated. The multipath effects from payload bay structures surrounding the payload bay antenna were analyzed. The computer simulation tool based on the geometrical theory of diffraction method (GTD) was used to compute the signal strengths. The total field strength was obtained by summing the direct fields from the antennas and the reflected and diffracted fields from the surrounding structures. The computed signal strengths were compared to the signal strength corresponding to the 0 dB link margin. Based on the results obtained in this study, communication coverage for SSO-EVA and SSO-ISS communication links was determined for the proposed payload bay antenna UHF locations. The radio frequency (RF) radiation to the orbiter docking system (ODS) pyros, the payload bay avionics, and the shuttle remote manipulator system (SRMS) from the new proposed UHF antenna location was also investigated to ensure the EMC/EMI compliances.
A Method for User Behavior Modeling Based on Web Page Metadata

The current behavior models of Web user are difficult to describe the semantic information of behavior. Most of them are only used to improve the performance of Web sites. To resolve the issue, a hierarchy metamodel of user behavior and a method for user behavior modeling are proposed in this paper. Based on the metadata of pages, the method can build a behavior model of Web user from three layers, i.e., URL access, activity and session. The behavior models generated by the method lay the foundation for acquiring the semantic characteristics of user behaviors. The method has been tested in our Web-based distance learning system, and it has been proved effective in describing the semantics of Web user's behavior
Registration of Multi Time Images Using SIFT ( Scale Invariant Feature Transformation )

In image registration, the point-to-point correspondences between two images of the same scene, which are acquired by different sensors or by the same sensor at different times or with different parameters, are determined. The crucial point of feature-based methods is to adopt discriminative and robust feature descriptors that are invariant to the assumed differences between the two input images, and therefore the extraction of invariant features is very important to registration results. This paper presents a method for image feature generation called SIFT (scale invariant feature transformation). In the study smoothening of the images was carried out using MatLab 7 software by application of the Gaussian function. Local maxima and minima of the difference of the Gaussian image were detected and a detailed fit to nearby data for location, scale and ratio of principal curvature was carried out. Several points tests were carried out using a variety of decision techniques to label a key point as a match or otherwise. The result obtained revealed that the scale invariant feature transformed an image into a large collection of local feature vectors, each of which is invariant to image translation, scaling and rotation.