Miracle-dz/UniFAR-FTUs huggingface dataset:
EEG feature extraction for classification of sleep stages

Automated sleep staging based on EEG signal analysis provides an important quantitative tool to assist neurologists and sleep specialists in the diagnosis and monitoring of sleep disorders as well as evaluation of treatment efficacy. A complete visual inspection of the EEG recordings acquired during nocturnal polysomnography is time consuming, expensive, and often subjective. Therefore, feature extraction is implemented as an essential preprocessing step to achieve significant data reduction and to determine informative measures for automatic sleep staging. However, the analysis of the EEG signal and extraction of sensitive measures from it has been a challenging task due to the complexity and variability of this signal. We present three different schemes to extract features from the EEG signal: relative spectral band energy, harmonic parameters, and Itakura distance. Spectral estimation is performed by using autoregressive (AR) modeling. We then compare the performance of these schemes with the view to select an optimal set of features for specific, sensitive, and accurate neuro-fuzzy classification of sleep stages.
A New Model for Rating Users' Profiles in Online Social Networks

Profiling users in Online Social Networks (OSNs) is of great benefit in multiple domains (e.g., marketing, sociology, and forensics). In this paper, we propose a new model for rating user’s profile (i.e., low, medium, high, and advanced) in an OSN community by embedding it into clusters located at predefined range of radius in a low-dimensional Cartesian space. The orthogonal coordinates of the profile are estimated using Principle Component Analysis (PCA) applied on a vector of metrics formulated as a set of attributes of interest (i.e., qualitative and quantitative) mined from the user’s profile to characterize his/her level of participation and behavior in the community. The experimentations are conducted on 3000 simulated profiles of three OSNs (Facebook, Twitter and Instagram) by embedding them in three cartesian spaces of three corresponding communities (Religion, Political and Lifestyle). The results show that we are able to estimate accurately the profile rates by reducing the vector of metrics to a low-dimensional space whittle down to 3-D space.
Automatic breast segmentation and cancer detection via SVM in mammograms

Automatic detection of breast cancer in mammograms is a challenging task in Computer Aided Diagnosis (CAD) techniques. This paper presents a simple methodology for breast cancer detection in digital mammograms. Proposed methodology consists of three major steps, i.e. segmentation of breast region, removal of pectoral muscle and classification of breast muscle into normal and abnormal tissues. Segmentation of breast muscle was performed by employing Otsus segmentation technique, afterwards removal of pectoral muscle is carried out by canny edge detection and straight line approximation technique. In next step, Gray Level Co-occurrence Matrices (GLCM) was created form which several features were extracted. At the end, SVM classifier was trained to classify breast region into normal and abnormal tissues. Proposed methodology was validated on Mini-MIAS database and results were compared with previously proposed techniques, which shows that proposed technique can be reliably apply for breast cancer detection.
Capacity of mobile ad hoc network with infrastructure support

We investigate the scaling law of throughput capacity of hybrid networks with non-trivial node mobility. By non-trivial mobility, we mean it is strong enough to improve capacity. A general model with heterogeneous nodes and spatial inhomogeneities is adopted. We show in a network, whose physical extension grows at f(n), with n users and k base stations, the per-node capacity is Θ(1/f(n)) + Θ(k/n). We also propose optimal schedule policy and routing scheme to achieve capacity.
Faster Recovery from Operating System Failure and File Cache Missing

Rebooting a computer is one method to fix operating system (OS) failures. However this method causes two problems. First, the computer will not be available until the rebooting is finished. Second, the user data on the volatile main memory will be erased. To address these problems, we propose a system that can fix failures within one second without losing file caches by replacing the OS encountering a fatal error by another OS that is running on the same machine. Our proposed system is constructed on one machine in which two OSes are simultaneously operating. One OS is dedicated to the backup of the other OS. Using the backup OS, we can instantly conduct a failover. During the failover, the backup OS migrates the remaining file caches in the main memory to protect the changes in them before the OS failure. Our proposed system was implemented on a Linux kernel and can run on commodity x86 machines without any modifications to the applications. Therefore, it can be adapted for a variety of applications and platforms.
A Survey and Classification of 3D Pointing Techniques

This paper introduces a survey and a classification of 3D pointing techniques. The survey presents a chronological view on the study of 3D pointing techniques. The classification is based on a proposed definition of 3D cursor. The paper shows that existing 3D pointing techniques can be either 3D pointer-based cursor or 3D line-based cursor. Based on recent results of 3D Fitts' law study and the definition of two types of 3D cursor, the paper discusses different virtual enhancements for improving existing 3D pointing techniques and for creating and evaluating new 3D pointing techniques which focus on decreasing the average target acquisition time.
Parallel Jacobi-Davidson method for multichannel blind equalization criterium

Some recent works have represented novel techniques that exploit cyclostationarity for channel identification in data communication systems using only second order statistics. In particular, work has shown the feasibility of blind identification based on the forward shift structure of the correlation matrices of the source. We propose an alternative high performance algorithm based on the above property but with an improved choice of the autocorrelation of the equalization matrices to be considered. The new representation of the equalization problem provides a cost function formulated as a large generalized eigenvalue problem, which can be efficiently solved by the Jacobi-Davidson method. We mainly focus on the parallel aspects of the Jacobi-Davidson method on massively distributed memory computers. The performance of this method on this kind of architecture is always limited because of the global communication required for the inner products due to the Modified Gram-Schmidt (MGS) process. We use Given rotations which require only local communications avoiding the global communication of inner products since this represents the bottleneck of the parallel performance on distributed memory computers. The corresponding data distribution and communication scheme is presented as well. Several simulation experiments over different data transmission constellations carried out on Parsytec systems are presented as well.
An Efficient Adaptive Power and Bit Allocation Algorithm for MIMO OFDM System Operating in a Multi User Environment

This paper describes an adaptive power and bit allocation algorithm for a multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) system operating in a frequency selective fading channel. The proposed algorithm is based on the use of a Lagrange multiplier method. It is realized as a one step procedure and hence does not require an iterative implementation process. The presented simulation results show that the algorithm operates successfully in multiple user access scenarios without scarifying power and diversity gain
The Forward Contract Model of Interruptible Load in Power Market

Interruptible load management (ILM) is an important part of demand side management (DSM), especially in power market. It has deep influences on reliability and economical operation of power system. How to use a rational model to analyze the ILM becomes a hot topic in China. This paper gives the optimal purchase model of interruptible contract and sets a reasonable selected rule, i.e. the interruptible load should be priorly scheduled in the period with maximal shortage capacity. Based on the rule, the heuristic method is employed to solve the problem. Simulation results of real power system demonstrate the usefulness of the proposed model
DNA probes for identification of enteroinvasive Escherichia coli

Eighty-one Escherichia coli strains belonging to all known invasive O serogroups were tested with two distinct invasiveness probes (pMR17 and pSF55). All 54 Sereny test-positive strains and 5 strains that lost Sereny positivity during storage hybridized with both probes. Probe-positive strains carried a 120- to 140-megadalton plasmid, did not produce lysine decarboxylase, and, with the exception of certain serotypes, were nonmotile. Motile strains of serotype O144:H25 were for the first time characterized as invasive by hybridization with the probes.
A novel color constancy algorithm based on gray-curve regulation

Color constancy performs an important role in computer vision and digital color image processing. The traditional color regulation algorithms which are based on the gray world assumption neglect the correlation between the three stimulus color components and the nonlinear effect between the different gray levels. In this paper, we propose a novel color constancy algorithm which is based on gray-curve regulation. The proposed algorithm first divides the luminance interval into several parts and then regulates the gray-curves of RGB three channels in each subinterval which can solve the correlation and nonlinear problems simultaneously. The experiment results show the effectiveness of the proposed algorithm.
RF front-end system gain and linearity built-in test

This work addresses the concurrent on-chip measurement of the gain, the input 1-dB compression point (ICP1-dB), and the input-referred third-order interference point (IIP3) of individual RF building blocks in RF front-end systems, using introduced high speed CMOS RF on-chip amplitude detectors, which work up to 20 GHz with high accuracy, small area, and low power consumption
A PPLICATIONS : N ANOPHOTONICS AND P LASMONICS

Both nanophotonics and plasmonics concern investigations into building, manipulating, and characterizing optically active nanostructures with a view to creating new capabilities in instrumentation for the nanoscale, chemical and biomedical sensing, information and communications technologies, enhanced solar cells and lighting, disease treatment, environmental remediation, and many other applications. Photonics and plasmonics share the characteristic that at least some of their basic concepts have been known for 40–50 years, but they have come into their own only in the last ten years, based on recent discoveries in nanoscience. Photonic materials and devices have played a pervasive role in communications, energy conversion, and sensing since the 1960s and 1970s. Photonics at the nanoscale, or nanophotonics might be defined as “the science and engineering of light-matter interactions that take place on wavelength and subwavelength scales where the physical, chemical, or structural nature of natural or artificial nanostructure matter controls the interactions” (NRC 2008). Broadly speaking, over the next ten years nanophotonic structures and devices promise dramatic reductions in energies of device operation, densely integrated information systems with lower power dissipation, enhanced spatial resolution for imaging and patterning, and new sensors of increased sensitivity and specificity.
Switching dynamics in titanium dioxide memristive devices

Memristive devices are promising components for nanoelectronics with applications in nonvolatile memory and storage, defect-tolerant circuitry, and neuromorphic computing. Bipolar resistive switches based on metal oxides such as TiO2 have been identified as memristive devices primarily based on the “pinched hysteresis loop” that is observed in their current-voltage (i-v) characteristics. Here we show that the mathematical definition of a memristive device provides the framework for understanding the physical processes involved in bipolar switching and also yields formulas that can be used to compute and predict important electrical and dynamical properties of the device. We applied an electrical characterization and state-evolution procedure in order to capture the switching dynamics of a device and correlate the response with models for the drift diffusion of ionized dopants (vacancies) in the oxide film. The analysis revealed a notable property of nonlinear memristors: the energy required to switch a me.
Design and control of a wearable active knee orthosis for walking assistance

In the past decades, many wearable powered orthoses have been developed with the aim of augmenting or assisting motion activities in daily life. Among many applications, they are particularly used to provide lower-limb moving assistance in locomotion-related rehabilitation tasks. This paper presents a wearable active knee orthosis consisting of an active knee joint, a double-tendon-sheath transmission system and a control system. The active knee joint and the double-tendon-sheath transmission system are applied to reduce the weight of the orthosis and achieve preferable maneuverability. A PID controller is used to validate the feasibility of the orthosis, and a fuzzy controller is developed to perform the walking assistance experiments. Finally, two groups of EMG signal tests were conducted to verify the assisting effectiveness of the orthosis. The results obtained from the two EMG evaluation experiments demonstrate that the proposed orthosis can reduce muscular power consumption during walking and proved the usability of the whole system.
Recurrent acute suppurative thyroiditis in an adult due to a fourth branchial pouch fistula.

Acute suppurative thyroiditis is an uncommon infectious disease affecting mainly children and young adults (1). Recurrent acute suppurative thyroiditis due to persistent pyriform sinus-thyroid fistula is rare. There have been 109 cases of suppurative thyroiditis reported, mainly in the pediatric and otolaryngologic literature (2–40), since its first description in 1933 (2). Only 14 adult patients have been described (3–8).
In Situ Data Steering on Sedimentation Simulation with Provenance Data

Parallel adaptive mesh refinement and coarsening (AMR) are optimal strategies for tackling large-scale simulations. libMesh is an open-source finite-element library that supports parallel AMR and is used in multiphysics applications. In complex simulation runs, users have to track quantities of interest (residuals, errors estimates, etc.) to control as much as possible the execution. However, this tracking is typically done only after the simulation ends. This paper presents DfAnalyzer, a solution based on provenance data to extract and relate strategic simulation data for online queries. We integrate DfAnalyzer to libMesh and ParaView Catalyst, so that queries on quantities of interest are enhanced by in situ visualization.
The content of urokinase‐type plasminogen activator antigen as a prognostic factor in urinary bladder cancer

Urokinase‐type plasminogen activator (u‐PA) is thought to be implicated in cancer invasion and metastasis. The aim of this study was to determine whether the u‐PA content of cancer tissue is a prognostic factor in bladder cancer. Tissue samples from 46 patients with bladder cancer were assessed for u‐PA antigen by a highly sensitive enzyme immunoassay. The relationships between the u‐PA level in extracts of bladder cancer and the survival rates of the bladder‐cancer patients were examined. Patients with a high u‐PA level (8 ng/mg of protein and more) showed a statistically significantly higher rate of survival than those with a low u‐PA level (p < 0.005). The u‐PA antigen level in cancer tissue was significantly lower in low‐graded and non‐invasive cancers than in others (p < 0.01).
2-Methoxyestradiol, an Estradiol Metabolite, Inhibits Neointima Formation and Smooth Muscle Cell Growth via Double Blockade of the Cell Cycle

2-Methoxyestradiol (2-ME), an endogenous metabolite of estradiol with no affinity for estrogen receptors, is a potent anticarcinogenic agent (in phase II clinical trials) and mediates the inhibitory effects of estradiol on smooth muscle cell (SMC) growth. Here we studied the intracellular mechanisms by which 2-ME inhibits SMC growth and whether 2-ME prevents injury-induced neointima formation. 2-ME concentrations that inhibit proliferation of cycling human aortic SMCs by ≥50% blocked cell-cycle progression in G0/G1 and in G2/M phase, as determined by flow cytometry. Consistent with the cell-cycle effects, at a molecular level (Western blots), 2-ME inhibited cyclin D1 and cyclin B1 expression; cyclin-dependent kinase (cdk)-1 and cdk-2 activity; and retinoblastoma protein (pRb), extracellular signal-regulated kinase (ERK) 1/2, and Akt phosphorylation. 2-ME also upregulated the Cdk inhibitor p27 and interfered with tubulin polymerization. Moreover, 2-ME augmented COX-2 expression, suggesting that it may also inhibit SMC growth via prostaglandin formation. In rats, treatment with 2-ME abrogated injury-induced neointima formation; decreased proliferating SMCs; downregulated expression of proliferating-cell nuclear antigen (PCNA), c-myc, cyclin D1, cyclin B1, phosphorylated Akt, phosphorylated ERK1/2, p21, and pRb; inhibited cdk-1 and cdk-4 activity; and upregulated expression of cyclooxygenase (COX)-2 and p27. Caspase-3 cleavage assay and fluorescence-activated cell-sorting (FACS) analysis showed no evidence of apoptosis in 2-ME–treated SMCs, and TUNEL staining in carotid segments showed no evidence of 2-ME–induced apoptosis in vivo. The antimitotic effects of 2-ME on SMCs are mediated by the inhibition of key cell-cycle regulatory proteins and effects on tubulin polymerization and COX-2 upregulation. These effects of 2-ME most likely contribute to the antivasoocclusive actions of this endogenous compound.
Preparations for AIDS vaccine trials. An automated version of the Risk Assessment Battery (RAB): enhancing the assessment of risk behaviors.

Our primary objective during this pilot work has been to determine if the computerized RAB can be used in place of the paper-and-pencil version with an IDU population. As stated, reliability estimates in the form of correlations of risk scores between the two versions ranged from . 82 to . 94, and percentages of exact agreement of the scoreable items ranged from 88% to 100%. These correlations indicate that the C-RAB is comparable to the RAB in its psychometric properties. Further, subjects' positive ratings of the computer program and perceptions that it would better protect confidentiality indicate that this population would participate in assessments involving computer interactions. While these self-reports may be biased on clients' desire to be cooperative and the novelty of the assessment approach, the high level of approval ratings suggest that a majority of participants do prefer completing assessments on the computer. Similarly, participants' demonstrated ability to use the computer and their rating of the program as easy to use suggest that the C-RAB has potential to be a reliable and efficient tool in assessing risk behaviors among IDUs enrolled in HIV vaccine trials.
A multimedia support system for collaborative assembly design

In collaboration, multimedia information/data act as very important tools to share product design and engineering knowledge between project participants. However, current multimedia in collaboration provide only communication protocols and have limitations on capturing any engineering information imposed on product design. Hence, this paper aims to introduce a new framework of multimedia support for assembly design (AsD). The multimedia are linked to remote and distributed engineering information/data, which are core sources of AsD decision making. In doing so, rather than directly interfacing and sharing engineering information/data, the new framework will provide design participants with a seamless way of collaboration. Attributed relational graphs (ARGs) are adopted to employ an efficient representation of image contents. An extended ARG is proposed to incorporate information about assembly relationships and mathematical decision-making models with ARG-formatted graphical information. This research employs a service-oriented architecture (SOA) remotely and transparently to exchange multimedia, assembly relationships and mathematical model information for multimedia support. MSS-AD (multimedia support system for collaborative AsD), a prototype system, has been implemented to show the feasibility of the idea proposed in this paper.
Nucleotide Sequence Requirements at the 5′ End of the Influenza A Virus M RNA Segment for Efficient Virus Replication

ABSTRACT The mechanism by which the influenza A virus genome is packaged into virions is not fully understood. The coding and noncoding regions necessary for packaging of the viral RNA segments, except for the M segment, have been identified. Here, we delineate the M segment regions by incorporating a reporter viral RNA into virions and by generating viruses possessing mutations in the regions. We found that, like the other segments, the M segment coding regions are essential for virion incorporation and that the nucleotide length rather than the nucleotide sequence of the 5′ end of the coding region is important.
Data quality and reliability aspects of ICT infrastructures for Wide Area Monitoring and Control systems

Synchronized phasor measurement based Wide Area Monitoring and Control (WAMC) system is becoming a reality within international research and development both in academia and industry. Timely and accurate data with high resolutions holds great promise for more responsible and advanced grid control and operation. Currently, most of the research focuses on the different control schemes and applications. A relatively less addressed aspect is the dependency of the WAMC system on the performance of the Information and Communication Technology (ICT) infrastructure, without whose support the projected functionalities of the WAMC systems will be not achieved. Possible delays brought by the complex data transfer and processing processes in WAMC systems are addressed in the first part of this paper. Thereafter, simulations where delayed Phasor measurements are fed to a typical WAMC application - Static Var Compensation (SVC) are conducted iteratively to detect its maximum tolerated delay. Furthermore, performance requirements to design a reliable SVC function are analyzed based on simulation results. In conjunction with the requirement discussion, a robust ICT architecture is proposed to mitigate the data latency and incompleteness issue. The paper is concluded by addressing data quality issues relating to the remote signal based SVC controller system reliability.