Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and design of OFDM/OQAM systems based on filterbank theory

A discrete-time analysis of the orthogonal frequency division multiplex/offset QAM (OFDM/OQAM) multicarrier modulation technique, leading to a modulated transmultiplexer, is presented. The conditions of discrete orthogonality are established with respect to the polyphase components of the OFDM/OQAM prototype filter, which is assumed to be symmetrical and with arbitrary length. Fast implementation schemes of the OFDM/OQAM modulator and demodulator are provided, which are based on the inverse fast Fourier transform. Non-orthogonal prototypes create intersymbol and interchannel interferences (ISI and ICI) that, in the case of a distortion-free transmission, are expressed by a closed-form expression. A large set of design examples is presented for OFDM/OQAM systems with the number of subcarriers going from four up to 2048, which also allows a comparison between different approaches to get well-localized prototypes.
Killing–Yano equations and G structures

We solve the Killing–Yano equation on manifolds with a G structure for G = SO(n), U(n), SU(n), Sp(n) ⋅ Sp(1), Sp(n), G2 and Spin(7). Solutions include nearly-Kähler, weak holonomy G2, balanced SU(n) and holonomy G manifolds. As an application, we find that particle probes on AdS4 × X compactifications of type IIA and 11-dimensional supergravity admit a type of symmetry generated by the fundamental forms. We also explore the symmetries of string and particle actions in heterotic and common sector supersymmetric backgrounds. In the heterotic case, the generators of the symmetries completely characterize the solutions of the gravitino Killing spinor equation, and the structure constants of the symmetry algebra depend on the solution of the dilatino Killing spinor equation.
Neural bases of semantic-memory deficits for events

This study investigated the neural bases of event-related semantic-memory deficits among people with aphasia due to left-hemisphere (LH) stroke. A novel task using naturalistic photographic stimuli and patient-friendly procedures was used to test event-related semantic knowledge. In the task, participants decided whether depicted events were normal (represented in semantic memory) or were abnormal (not represented in semantic memory). Performance on this Event task was correlated with deficits in actionand object-concept processing and on standardized language measures, especially actionand verb-processing deficits. Logistic regression analyses examined lesion correlates of patient performance on the Event task. Surprisingly, increasing LH lesion size in action ROIs was associated with improved performance on the event-knowledge task. These findings suggest that action processing may play a special role in event-related semantic memory representations. Furthermore, they are consistent with recent claims that the right hemisphere may be especially important for activation of event-related knowledge.
Facial age affects emotional expression decoding

Facial expressions convey important information on emotional states of our interaction partners. However, in interactions between younger and older adults, there is evidence for a reduced ability to accurately decode emotional facial expressions. Previous studies have often followed up this phenomenon by examining the effect of the observers' age. However, decoding emotional faces is also likely to be influenced by stimulus features, and age-related changes in the face such as wrinkles and folds may render facial expressions of older adults harder to decode. In this paper, we review theoretical frameworks and empirical findings on age effects on decoding emotional expressions, with an emphasis on age-of-face effects. We conclude that the age of the face plays an important role for facial expression decoding. Lower expressivity, age-related changes in the face, less elaborated emotion schemas for older faces, negative attitudes toward older adults, and different visual scan patterns and neural processing of older than younger faces may lower decoding accuracy for older faces. Furthermore, age-related stereotypes and age-related changes in the face may bias the attribution of specific emotions such as sadness to older faces.
Advisory System for Student Enrollment in University Based on Variety of Machine Learning Algorithms

The enrollment process of students in the Egyptian universities is mainly based on student final grades in high school. The high school final grade doesn’t reflect promising student to admit in specific faculty such as engineering and science, which requires specific student skills and knowledge. In this paper, we present a predictive model for student to help him select the best suitable faculty based on his grades for different subjects in high school. Moreover, the model takes into consideration the country state, in which the student is located, and the gender of the student. The proposed model acts as an advisory and recommendation system for the student, helping him make a mature decision. The model is applied on selective case study, namely, the student enrollment process in faculty of Engineering, Al-Azhar University in Egypt. The enrollment process in the aforementioned university only accepts students graduated from Al-Azhar high schools, which employs different courses, beside the Islamic and Arabic subjects. The experimental results showed that, the model will effectively help faculty management in identifying the key success features in each student, and thus, can filter applicants based on intelligent predictive criteria. The model was intensively tested, and promising results were obtained.
Dynamically reconfigurable hybrid cache: An energy-efficient last-level cache design

The recent development of non-volatile memory (NVM), such as spin-torque transfer magnetoresistive RAM (STT-RAM) and phase-change RAM (PRAM), with the advantage of low leakage and high density, provides an energy-efficient alternative to traditional SRAM in cache systems. We propose a novel reconfigurable hybrid cache architecture (RHC), in which NVM is incorporated in the last-level cache together with SRAM. RHC can be reconfigured by powering on/off SRAM/NVM arrays in a way-based manner. In this work, we discuss both the architecture and circuit design issues for RHC. Furthermore, we provide hardware-based mechanisms to dynamically reconfigure RHC on-the-fly based on the cache demand. Experimental results on a wide range of benchmarks show that the proposed RHC achieves an average 63%, 48% and 25% energy saving over non-reconfigurable SRAM-based cache, non-reconfigurable hybrid cache, and reconfigurable SRAM-based cache, while maintaining the system performance (at most 4% performance overhead).
Power plants with CO2 capture

There is disclosed a method for separating CO2 from combustion gas from a natural gas fired gas turbine where the partially expanded combustion gas is discharged from the gas turbine at an intermediate stage and used as the oxygen-containing gas into a second combustion where additional gas is supplied. The exhaust gas from the second combustion is separated into a CO2 rich stream which is exported for deposition and a CO2 poor stream that is heated and then expanded over the gas turbine for production of electric power. Also disclosed is a plant wherein the method used.
Worldwide distribution of glomerular diseases: the role of renal biopsy registries.

Many published papers describe the frequency of histological findings from different biopsy databases all over the world. Ranging in number from hundreds to thousands, these collections sometimes report not only the frequency of the disease but the clinical and demographic correlations, too. However, the data provided are not always comparable mainly because of the lack of a common national renal biopsy registry. Polito et al. [1], in their paper, evaluated 9617 native renal biopsies from Brazil during the period 1993–2007 and reported the frequencies of the different histological findings. They also take into account demographic and clinical features, present several analysis and compare the results with patterns of glomerular disease distribution all over the world. It is interesting to notice that Brazil encompasses both the features of developed and developing countries and this paper allows us to better.
An interoperable GMPLS/OBS Control Plane: RSVP and OSPF extensions proposal

The GMPLS/OBS Control Plane is a bold research topic. Optical Burst Switching (OBS) networks need to be capable to be rapidly reconfigured with the aim of achieving an efficient use of bandwidth, low latency and high degree of transparency. The OBS Control Plane is just a packet switched network requiring a high control complexity. The demands are clear but a well-defined control plane is still an open issue. As one of excellent candidate control plane for most of network scenarios, Generalized Multi-Protocol Label Switching (GMPLS) is being taken as a reference to design such OBS Control Plane. In this paper we first describe the proposal for the interoperable GMPLS/OBS Control Plane and then based on such architecture we propose and analyze some GMPLS protocol extensions that must be done to integrate it properly into OBS networks.
Heart rate variability discovery: Algorithm for detection of heart rate from noisy, multimodal recordings

Starting point for the heart rate variability analysis is the ECG signal, which ensures the most precise way of detecting heartbeats. However, very often devices used to record ECG also record at the same time many other physiological signals containing useful information about heart rate. In the case of the poor ECG quality or its absence information about beats is lost. This raises the need for robust algorithms which could locate heartbeats in continuous long-term data from bedside monitors, allowing reliable, automatic analysis.
The Kinematic Connection between absorbing Gas toward QSOs and Galaxies at Intermediate Redshift

We present complementary data on five intermediate-redshift (0.44 ≤ z ≤ 0.66) Mg II-absorbing galaxies, combining high spatial resolution imaging from the Hubble Space Telescope, high-resolution quasi-stellar object (QSO) spectroscopy from the Keck High Resolution Echelle Spectrometer, and galaxy kinematics from intermediate-resolution spectroscopy using the Keck Low-Resolution Imaging Spectrometer. These data allow a direct comparison of the kinematics of gas at large galactocentric impact parameters with the galaxy kinematics obtained from the faint galaxy spectroscopy. All five galaxies appear to be relatively normal spirals, with measured rotation curves yielding circular velocities in the range 100 ≤ vc ≤ 260 km s-1. The QSO sight lines have projected impact parameters to the absorbing galaxies in the range 14.5 h-1 kpc ≤ d ≤ 75 h-1 kpc; the galaxies have inclination angles with respect to the line of sight ranging from 40° to 75°. We find that in four of the five cases examined, the velocities of all of the Mg II-absorption components lie entirely to one side of the galaxy systemic redshift. The fifth case, for which the galaxy is much less luminous than the other four, has narrow absorption centered at zero velocity with respect to systemic, despite having the largest disk inclination angle in the sample. These observations are consistent with rotation being dominant for the absorbing-gas kinematics; however, the total range of velocities observed is inconsistent with simple disk rotation in every case. Simple kinematic models that simultaneously explain both the systemic offset of the absorbing material relative to the galaxy redshifts and the total velocity width spanned by the absorption require either extremely thick rotating gas layers, rotation velocities that vary with z-height above the extrapolation of the galactic plane, or both. In any case, our small sample suggests that rotating "halo" gas is a common feature of intermediate-redshift spiral galaxies and that the kinematic signature of rotation dominates over radial infall or outflow even for gas well away from the galactic plane. We discuss possible explanations for this behavior and compare our observations with possible local analogs.
Matrix eigenproblems are at the heart of polynomial system solving

This note aims at illuminating the fact that matr ix eigenproblems are not just some tool in the solution of polynomial systems of equations (cf. [7]) but t ha t i n a sense to be shownthey represent the weakly nonlinear nucleus to which the original, strongly nonlinear task may be reduced. While parts of the following exposition are meaningful also for other coefficient fields and/or for ideals of positive dimension, we will restrict our attention here to O-dimensional ideals in C [ x l , . , x s ] =: ~s. To keep the presentation expository, we have not fornmlated our rather straightforward observations in the form of theorems; but a reader with a modera te background in linear algebra and in commutat ive algebra will be able to supplement any missing formal arguments.
Artificial bacterial flagella: Fabrication and magnetic control

Inspired by the natural design of bacterial flagella, we report artificial bacterial flagella (ABF) that have a comparable shape and size to their organic counterparts and can swim in a controllable fashion using weak applied magnetic fields. The helical swimmer consists of a helical tail resembling the dimensions of a natural flagellum and a thin soft-magnetic “head” on one end. The swimming locomotion of ABF is precisely controlled by three orthogonal electromagnetic coil pairs. Microsphere manipulation is performed, and the thrust force generated by an ABF is analyzed. ABF swimmers represent the first demonstration of microscopic artificial swimmers that use helical propulsion. Self-propelled devices such as these are of interest in fundamental research and for biomedical applications.
Roles of intracellular cAMP and protein kinase A in the actions of dopamine and neurotensin on midbrain dopamine neurons

The role of intracellular cAMP and protein kinase A in dopamine-induced inhibition of dopamine neurons and the attenuation of this inhibition by neurotensin were studied in rat midbrain slices. Spontaneous activity of dopamine cells was recorded extracellularly from both the ventral tegmental area and the substantia nigra. Perfusion of the slices with 8-bromo-cAMP and forskolin significantly attenuated dopamine-induced inhibition, but neither blocked the inhibition completely. Neither SQ22536, an inhibitor of adenylate cyclase, nor H8, an inhibitor of protein kinase A, mimicked the inhibitory effect of dopamine on dopamine neurons, although they potentiated dopamine's effect. These results indicate that dopamine-induced inhibition of dopamine neurons can be affected by intracellular cAMP levels, but is unlikely to be mediated solely by inhibition of adenylate cyclase. The similarities between the effects of neurotensin and those of 8-bromo- cAMP and forskolin suggest that intracellular cAMP may be involved in the actions of neurotensin. This suggestion is supported by our findings that isobutyl-methylxanthine (an inhibitor of phosphodiesterases) potentiated the effect of neurotensin and SQ22536 and H8 antagonized it. Phorbol-12,13-dibutyrate (an activator of protein kinase C) did not mimic the effect of neurotensin, and H7 (an inhibitor of protein kinase C) did not reduce the effect, suggesting that protein kinase C is unlikely to be involved in the modulatory effect of neurotensin.
Monocular SLAM: Using trapezoids to model landmark uncertainties

In this paper we develop a new method to address the monocular SLAM problem based on particle filters. We already offered an approach to use line pieces attached to particles to model uncertainties of landmarks in case the measurement noise is ignorable. However, when using a consumer camera on a mobile robot, the noise resulting especially from the unavoidable vibration of the camera cannot be neglected. In this paper we present a modification demonstrating how the noise can be handled. The high performance of the algorithm is demonstrated at the end of this paper through simulations and by presenting the result of the implementation of this method on a real robot.
‘Jesus, take the wheel’: the appeal of spiritual products in satiating concerns about randomness

ABSTRACT Why are consumers drawn to spiritual products? Leveraging theorising regarding the psychological need to perceive the world as orderly and non-random, we posit that products imbued with religious/spiritual significance help manage concerns about randomness and uncontrollability (e.g. when a product is unreliable or exposes the consumer to random uncontrollable processes). When randomness concerns were salient, religious consumers showed increased desire to attach religious significance to secular objects (e.g. having item blessed, physically attaching a religious symbol). For spiritual consumers, spiritual products (vs. non-spiritual physically equivalent products) were seen as having (i) non-material efficacy (i.e. efficacy not bound to the purely material world) and (ii) unfalsifiable efficacy (i.e. efficacy that is immune to contrary evidence). Evidence is found across a variety of religious and spiritual contexts.
A single system image server cluster using duplicated MAC and IP addresses

Clusters of PCs are increasingly being used to build high-capacity Web sites. We develop and evaluate a method of building a single system image (SSI) cluster that does not require a central dispatcher. In our clone cluster method, which builds on the existing ONE-IP method, a group of mirrored server machines with identical MAC and IP addresses are configured on a shared-medium LAN. Each machine filters incoming IP packets based on a hash of IP source addresses. Unlike ONE-IP, our method does not require router configuration changes. We build and evaluate a Linux-based, two-PC cluster that uses an odd/even filter. Simulation results show that the effect of server selection method on mean response time is less significant for heavy-tailed interarrival times than for exponential interarrival times. Simulation results show that response time performance from a Clone Cluster can be very close to that of a centrally dispatched least-loaded cluster.
Frequent Down Regulation of the Tumor Suppressor Gene A20 in Multiple Myeloma

Multiple myeloma (MM) is a malignant clonal expansion of plasma cells in the bone marrow and belongs to the mature B-cell neoplams. The pathogenesis of MM is associated with constitutive NF-κB activation. However, genetic alterations causing constitutive NF-κB activation are still incompletely understood. Since A20 (TNFAIP3) is a suppressor of the NF-κB pathway and is frequently inactivated in various lymphoid malignancies, we investigated the genetic and epigenetic properties of A20 in MM. In total, of 46 patient specimens analyzed, 3 single base pair exchanges, 2 synonymous mutations and one missense mutation were detected by direct sequencing. Gene copy number analysis revealed a reduced A20 gene copy number in 8 of 45 (17.7%) patients. Furthermore, immunohistochemical staining confirmed that A20 expression correlates with the reduction of A20 gene copy number. These data suggest that A20 contributes to tumor formation in a significant fraction of myeloma patients.
Investigation of Stress in MEMS Sensor Device Due to Hygroscopic and Viscoelastic Behavior of Molding Compound

The stresses due to moisture saturation on microelectromechanical systems (MEMS) sensor devices after exposure to temperature cycling have been addressed. Moisture-, temperature-, and time-dependent material property of molding compounds for the MEMS devices were characterized. To determine the coefficient of hygroscopic swelling of a molding compound and diffusivity (D) of water in the molding compound, dimensional change and weight loss of moisture saturated samples at various temperatures were monitored by the digital image correlation method combined with a weight scale. To obtain the viscoelastic property of the molding compound, a series of stress relaxation tests was performed using dynamic mechanical analysis (DMA). To explain the moisture-induced viscoelastic behavior, a simple assumption was introduced based on the temperature of glass transition point (Tg) shift from the DMA result. The experimental data were utilized in numerical simulations to estimate the temperature- and moisture-induced stress on MEMS sensor devices subjected to temperature cycles.
A Report Generation Method for Defending False Negative Attacks in Ubiquitous Sensor Networks

Summary Ye et al. proposed the statistical en-route filtering scheme to address false data injection attacks in which an adversary uses compromised nodes to inject forged reports into the network with the goal of deceiving the base station or depleting the resources of the relaying nodes. This scheme can detect such forged reports but is vulnerable to false negative attacks during the report generation process. Thus, a legitimate event may not be reported properly. In this paper, we propose a report generation method to achieve resilience in terms of false negative attacks against the report generation process of the statistical en-route filtering scheme in ubiquitous sensor networks. In the proposed method, one of the detecting nodes randomly selects several nodes to generate sensing reports and key indices to generate message authentication codes (MACs). Each of the nodes selected to produce reports generates a sensing report which contains only the matched MACs, collected from different nodes, using the keys indicated by the key indices. We analyze the security level of the proposed method under various false negative attacks against the report generation process at the end of this paper.
Ii. Case Report

distribution and affects all races and ethnic groups equally. It occurs both in adults and children, with a slight female predominance 2. Due to this vast array of characteristics, the le-sion is most often not included in the differential diagnosis of soft to firm lumps present on the head or neck. A systematic approach to the workup and diagnosis of such distinct lesions is discussed in this article. A 20-year-old Asian Indian female presented to our Oral and Maxillofacial unit with a lump on the left side of her forehead. The lump has been present for 1 month, and she had developed a psychological complex due to the unaes-thetic appearance. The lesion was initially 1×1 cm 2 and had eventually progressed to the presentation size over the month. There was no history of associated fever, previous treatments, unexplained weight loss, or malaise. The patient had no del-eterious habits, and the family history was inconclusive for any hereditary or genetic correlation. General examination did not reveal any significant findings such as similar lesions on the extremities, chest, or abdomen. On further local examination, a 2.5-cm-long and 3-cm
A Comparative Study on Different Types of Approaches to Bengali document Categorization

Document categorization is a technique where the category of a document is determined. In this paper three well-known supervised learning techniques which are Support Vector Machine(SVM), Na\"ive Bayes(NB) and Stochastic Gradient Descent(SGD) compared for Bengali document categorization. Besides classifier, classification also depends on how feature is selected from dataset. For analyzing those classifier performances on predicting a document against twelve categories several feature selection techniques are also applied in this article namely Chi square distribution, normalized TFIDF (term frequency-inverse document frequency) with word analyzer. So, we attempt to explore the efficiency of those three-classification algorithms by using two different feature selection techniques in this article.