Miracle-dz/UniFAR-FTUs huggingface dataset:
On Multiuser Power Region of Fading Multiple-Access Channel with Multiple Antennas

This paper is concerned with the fading MIMO-MAC with multiple receive antennas at the base station (BS) and multiple transmit antennas at each mobile terminal (MT). Two multiple-access techniques are considered for scheduling transmissions from each MT to the BS at the same frequency, which are space-division multiple-access (SDMA) and time-division multiple-access (TDMA). For SDMA, all MTs transmit simultaneously to the BS and their individual signals are resolved at the BS via multiple receive antennas while for TDMA, each MT transmits independently to the BS during mutually orthogonal time slots. It is assumed that the channel-state information (CSI) of the fading channel from each MT to the BS is unknown at each MT transmitter, but is perfectly known at the BS receiver. Thereby, the BS can acquire the long-term channel-distribution information (CDI) for each MT. This paper extends the well-known transmit-covariance feedback scheme for the point-to-point fading MIMO channel to the fading MIMO-MAC, whereby the BS jointly optimizes the transmit signal covariance matrices for all MTs based on their CDI, and then sends each transmit covariance matrix back to the corresponding MT via a feedback channel. The main goal of this paper is to characterize the so-called multiuser power region under the multiuser transmit-covariance feedback scheme for both SDMA and TDMA. The power region is defined as the constitution of all user transmit power-tuples that can achieve reliable transmissions for a given set of user target rates. Simulation results show that SDMA can achieve substantial power savings over TDMA for the fading MIMO-MAC. Moreover, this paper demonstrates the usefulness of the multiuser power region for maintaining proportionally-fair power consumption among the MTs.
Using Description Logics for Network Vulnerability Analysis

The distributed nature and complexity of computer networks and various services provided via them, makes the networks vulnerable to numerous attacks. The TCP/IP presumptions which are based on using this protocol to provide a simple, open communication infrastructure in an academic and collaborative environment, causes this protocol lack of built-in mechanisms for authentication, integrity and privacy. Even though in the last few years a more systematic approach to TCP/IP network security problem has been followed, a formal approach to this problem is lacking. In this paper, we propose using Description Logics as a formal model which could be used to analyze TCP/IP networks against attacks. Moreover we have presented a case study which models one of famous attack categories, i.e. Man in the Middle (MITM). This model lets automatically verify and proof network safety or vulnerability against this attack.
RED CELLS, IRON, AND ERYTHROPOIESIS Ontogeny of erythroid gene expression

Erythroid ontogeny is characterized by overlapping waves of primitive and definitive erythroid lineages that share many morphologic features during terminal maturation but have marked differences in cell size and globin expression. In the present study, we compared global gene expression in primitive, fetal definitive, and adult definitive erythroid cells at morphologically equivalent stages of maturation purified from embryonic, fetal, and adult mice. Surprisingly, most transcriptional complexity in erythroid precursors is already present by the proerythroblast stage. Transcript levels are markedly modulated during terminal erythroid maturation, but housekeeping genes are not preferentially lost. Although primitive and definitive erythroid lineages share a large set of nonhousekeeping genes, annotation of lineage-restricted genes shows that alternate gene usage occurs within shared functional categories, as exemplified by the selective expression of aquaporins 3 and 8 in primitive erythroblasts and aquaporins 1 and 9 in adult definitive erythroblasts. Consistent with the known functions of Aqp3 and Aqp8 as H2O2 transporters, primitive, but not definitive, erythroblasts preferentially accumulate reactive oxygen species after exogenous H2O2 exposure. We have created a user-friendly Web site (http:// www.cbil.upenn.edu/ErythronDB) to make these global expression data readily accessible and amenable to complex search strategies by the scientific community. (Blood. 2013;121(6):e5-e13)
Concurrent error detection using monitoring machines

In circuits implementing system level functions, the correctness of the overall operation is critically dependent on the correctness of the control part. Therefore, concurrent error detection techniques for controllers implemented in integrated circuits have previously received wide attention. This paper presents a new technique for concurrent error detection in finite state machine (FSM) controllers. It is based on the use of monitoring machines. In a monitored FSM controller, an auxiliary monitoring machine operates in lock-step with the main FSM, such that any fault in either of the two machines is immediately detected. It is shown how the monitoring machine provides a uniform mechanism for the detection of stuck-at faults as well as delay faults. Besides being less costly than the main machine, it is also not identical to it. These features yield designs which compare very favourably with previous implementations. Not only is the fault coverage higher, also the hardware cost of the monitored sequential circuit is significantly lower.
Exorcism and Possession in Psychotherapy Practice *

There has been an evolution in the layman's concept of mental disorder. Medieval belief in possession by demons and witches gave way to a 19th century medical model and more recently classical psychoanalytic formulations. Concurrently professional helping endeavour has moved increasingly from a more traditionally medical to psychotherapeutic process, and from a classical psychotherapeutic process wherein the therapist remained to a degree unresponsive and detached to a more modern emphasis on such qualities as empathy, sensitivity, reliability, and optimism as ingredients of successful psychotherapeutic practice. Freud's account of Haizmann's demonological neurosis usefully formulates the possession concept in psychological terms. However, recent developments in psychotherapeutic practice argue for a validity in the possession model of psychological distress. The possessing forces of object relations psychology are of course not the possessing demons and witches of medieval times but the possessing good and bad objects of early intrapsychic life set up through processes of introjection and incorporation in response to frustration in the early infant-mother relationship. Points of similarity in this comparison should not obscure features of contrast — there is no place for histrionic manipulation nor for a moralistic attitude in the practice of psychotherapy. A case is described to illustrate these points.
N. meningitidis and TLR Polymorphisms: A Fascinating Immunomodulatory Network

N. meningitidis infections represent a global health problem that can lead to the development of serious permanent sequelae. Although the use of antibiotics and prevention via vaccination have reduced the incidence of meningococcal disease, our understanding regarding N. meningitidis pathogenesis is still limited, especially of those mechanisms responsible for IMD and fulminant or deadly septic shock. These severe clinical presentations occur in a limited number of subjects, whereas about 10% of healthy individuals are estimated to carry the bacteria as a commensal. Since TLR activation is involved in the defense against N. meningitidis, several studies have highlighted the association between host TLR SNPs and a higher susceptibility and severity of N. meningitidis infections. Moreover, TLR SNPs induced variations in immunological responses and in their persistence upon vaccination against meningococcal disease. In the absence of mass vaccination programs, the early identification of risk factors for meningococcal disease would be recommended in order to start immunization strategies and antibiotic treatment in those subjects carrying the risk variants. In addition, it could allow us to identify individuals with a higher risk for severe disease and sequelae in order to develop a personalized healthcare of high-risk subjects based on their genomic profile. In this review, we have illustrated important preliminary correlations between TLR variants and meningococcal susceptibility/severity and with vaccine-induced immune responses.
On e-Biased Generators in NC0

Cryan and Miltersen [7] recently considered the question of whether there can be a pseudorandom generator in NC0, that is, a pseudorandom generator that maps n bits strings to m bits strings and such that every bit of the output depends on a constant number k of bits of the seed.They show that for k = 3, if m ? 4n + 1, there is a distinguisher; in fact, they show that in this case it is possible to break the generator with a linear test, that is, there is a subset of bits of the output whose XOR has a noticeable bias.They leave the question open for k ? 4. In fact they ask whether every NC0 generator can be broken by a statistical test that simply XORs some bits of the input. Equivalently, is it the case that no NC0 generator can sample an ? -biased space with negligible ? We give a generator for k = 5 that maps n bits into cn bits, so that every bit of the output depends on 5 bits of the seed, and the XOR of every subset of the bits of the output has bias 2^{ - \Omega ({n \mathord{\left/ {\vphantom {n {c^4 )}}} \right. \kern-\nulldelimiterspace} {c^4 )}}} . For large values of k, we construct generators that map n bits to n^{\Omega (\sqrt {k)} } bits and such that every XOR of outputs has bias 2^{ - n^{\frac{1}{{2\sqrt k }}} }. We also present a polynomial-time distinguisher for k = 4,m ? 24n having constant distinguishing probability. For large values of k we show that a linear distinguisher with a constant distinguishing probability exists once m \geqslant \Omega (2^k n^{\left\lceil {{k \mathord{\left/{\vphantom {k 2}} \right.\kern-\nulldelimiterspace} 2}} \right\rceil } ). Finally, we consider a variant of the problem where each of the output bits is a degree k polynomial in the inputs. We show there exists a degree k = 2 pseudo random generator for which the XOR of every subset of the outputs has bias 2^{ - \Omega (n)} and which map n bits to \Omega (n^2 ) bits.
Estimating Heritability of Prostate Cancer‐Specific Survival Using Population‐Based Registers

There is a strong genetic component in prostate cancer development with an estimated heritability of 58%. In addition, recent epidemiological assessments show a familial component in prostate cancer‐specific survival, which could be due to either common genetics or environment. In this study we sought to estimate the heritability of prostate cancer‐specific survival by studying brothers and father–son pairs in Sweden.
Interaction of Phosphorylated Tryptophan Hydroxylase with 14-3-3 Proteins*

Rabbit brain tryptophan hydroxylase (TPH) has been expressed in insect cells (Spodoptera frugiperda) as a histidine-tagged enzyme. The specific activity of the purified fusion enzyme is 80 nmol of 5-hydroxytryptophan/min/mg. Multifunctional regulatory 14-3-3 proteins were purified from fresh bovine brain. Phosphorylation and 14-3-3 proteins play important roles in the regulation of TPH activity. We have found that phosphorylation of TPH by cAMP-dependent protein kinase increased the activity of the hydroxylase by 25–30% and that 14-3-3 proteins increased the hydroxylase activity of phosphorylated TPH by ∼45%. Under these conditions, the 14-3-3 proteins were not phosphorylated, and unphosphorylated TPH was not activated by 14-3-3 proteins. Surface plasmon resonance analysis demonstrated that 14-3-3 proteins bind to phosphorylated TPH with an affinity constant (K a ) of 4.5 × 107 m −1. Binding studies using affinity chromatography also showed that 14-3-3 proteins interact with phosphorylated TPH. The dephosphorylation of TPH by protein phosphatase-1 was inhibited by 14-3-3 proteins. Our results demonstrate that 14-3-3 proteins form a complex with phosphorylated brain TPH, thereby increasing its enzymatic activity and inhibiting its dephosphorylation.
D RA FT A Second-order Finite Difference Scheme For The Wave Equation on a Reduced Polar Grid

This paper presents a second-order numerical scheme, based on finite differences, for solving the wave equation in polar and cylindrical domains. This method is defined on a reduced polar grid with nodes that are a subset of a uniform polar grid and are chosen so that the distance between nodes is near constant. This method is capable of computing the wave equation at a fraction of the computational cost of common second-order finite difference schemes defined on uniform polar grids but still maintains a comparable level of accuracy.
Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence

We derive sharp thresholds for exact recovery of communities in a weighted stochastic block model, where observations are collected in the form of a weighted adjacency matrix, and the weight of each edge is generated independently from a distribution determined by the community membership of its endpoints. Our main result, characterizing the precise boundary between success and failure of maximum likelihood estimation when edge weights are drawn from discrete distributions, involves the Renyi divergence of order $\frac{1}{2}$ between the distributions of within-community and between-community edges. When the Renyi divergence is above a certain threshold, meaning the edge distributions are sufficiently separated, maximum likelihood succeeds with probability tending to 1; when the Renyi divergence is below the threshold, maximum likelihood fails with probability bounded away from 0. In the language of graphical channels, the Renyi divergence pinpoints the information-theoretic capacity of discrete graphical channels with binary inputs. Our results generalize previously established thresholds derived specifically for unweighted block models, and support an important natural intuition relating the intrinsic hardness of community estimation to the problem of edge classification. Along the way, we establish a general relationship between the Renyi divergence and the probability of success of the maximum likelihood estimator for arbitrary edge weight distributions. Finally, we discuss consequences of our bounds for the related problems of censored block models and submatrix localization, which may be seen as special cases of the framework developed in our paper.
Coding the Beams: Improving Beamforming Training in mmWave Communication System

The mmWave communication system is operating at a regime with high number of antennas and very limited number of RF analog chains. Large number of antennas are used to extend the communication range for recovering the high path loss while fewer RF analog chains are designed to reduce transmit and processing power and hardware complexity. In this regime, typical MIMO algorithms are not applicable. Before any communication starts, devices are needed to align their beam pointing angles towards each other. An efficient searching protocol to obtain the best beam angle pair is therefore needed. It is called BeamForming (BF) training protocol. This paper presents a new BF training technique called beam coding. Each beam angle is assigned unique signature code. By coding multiple beam angles and steering at their angles simultaneously in a training packet, the best beam angle pair can be obtained in a few packets. The proposed BF training technique not only shows the robustness in non-line- of-sight environment, but also provides very flat power variation within a packet in contrast to the IEEE 802.11ad standard whose scheme may lead to large dynamic range of signals due to beam angles varying across a training packet.
Multiple inverted array structure for similar image retrieval

The retrieval functionality of a multimedia database system is important to provide users with comfortable access to the stored data. Similarity retrieval (also called content-based retrieval) is a promising technique for multimedia retrieval. We have therefore been carrying out research on an image retrieval system that makes use of similarity retrieval. This kind of retrieval is based on nearest neighbour searching in a multi-dimensional space. To make the retrieval fast and flexible we have developed a novel access method that uses an index structure consisting of multiple inverted arrays. Experimental evaluation of this method showed that it is potentially useful for shape similarity retrieval. The search speed is significantly faster than that of brute-force searching, and the accuracy is good enough.
Automatic Ransomware Detection and Analysis Based on Dynamic API Calls Flow Graph

In recent cyber incidents, Ransom software (ransomware) causes a major threat to the security of computer systems. Consequently, ransomware detection has become a hot topic in computer security. Unfortunately, current signature-based and static detection model is often easily evadable by obfuscation, polymorphism, compress, and encryption. For overcoming the lack of signature-based and static ransomware detection approach, we have proposed the dynamic ransomware detection system using data mining techniques such as Random Forest (RF), Support Vector Machine (SVM), Simple Logistic (SL) and Naive Bayes (NB) algorithms for detecting known and unknown ransomware. We monitor the actual (dynamic) behaviors of software to generate API calls flow graphs (CFG) and transfer it in a feature space. Thereafter, data normalization and feature selection were applied to select informative features which are the best for discriminating between various categories of software and benign software. Finally, the data mining algorithms were used for building the detection model for judging whether the software is benign software or ransomware. Our experimental results show that our proposed system can be more effective to improve the performance for ransomware detection. Especially, the accuracy and detection rate of our proposed system with Simple Logistic (SL) algorithm can achieve to 98.2% and 97.6%, respectively. Meanwhile, the false positive rate also can be reduced to 1.2%.
Quick recovery of orientation after magnetic seizure therapy for major depressive disorder

Background Magnetic seizure therapy, in which seizures are elicited with a high-frequency magnetic field, is under development as a new treatment for major depressive disorder. Its use may be justified if it produces the antidepressant effects of electroconvulsive therapy (ECT), coupled with limited cognitive side-effects. Aims To evaluate the usefulness of a new 100 Hz magnetic seizure therapy device. Method We induced seizures with 100 Hz magnetic transcranial stimulation in 11 patients with major depressive disorder during one session of a regular course of ECT. Recovery times after seizures induced by magnetic seizure therapy and ECT were compared. Results Seizures could be elicited in 10 of the 11 patients. Stimulation over the vertex produced tonic-clonic activity on 9 out of 11 occasions. Stimulation over the prefrontal midpoint elicited seizures on 3 out of 7 occasions. The mean duration of magnetically induced seizures was 31.3s, ranging from 10 to 86s. All patients had an exceptionally quick recovery of orientation: mean of 7 min 12s (s.d.=2 min 7 s, range 4 min 20s to 9 min 41 s). The recovery times were on average 15 min 35s shorter with magnetic seizure therapy than with ECT in the same patients (paired-samples t-test: P<0.0001). Patients reported feeling less confused after magnetic seizure therapy. Side-effects were confined to myoclonic movements, associated with the use of etomidate. Conclusions The new 100Hz magnetic stimulator elicits seizures in the majority of patients when administered over the vertex. Magnetic seizure therapy was associated with shorter recovery times and less confusion following treatment. Subsequent work will be required to assess the safety and effectiveness of magnetic seizure therapy in the treatment of depression.
Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

We consider the estimation of an independent and identically distributed (i.i.d.) (possibly non-Gaussian) vector x ∈ Rn from measurements y ∈ Rm obtained by a general cascade model consisting of a known linear transform followed by a probabilistic componentwise (possibly nonlinear) measurement channel. A novel method, called adaptive generalized approximate message passing (adaptive GAMP) is presented. It enables the joint learning of the statistics of the prior and measurement channel along with estimation of the unknown vector x. We prove that, for large i.i. d. Gaussian transform matrices, the asymptotic componentwise behavior of the adaptive GAMP is predicted by a simple set of scalar state evolution equations. In addition, we show that the adaptive GAMP yields asymptotically consistent parameter estimates, when a certain maximum-likelihood estimation can be performed in each step. This implies that the algorithm achieves a reconstruction quality equivalent to the oracle algorithm that knows the correct parameter values. Remarkably, this result applies to essentially arbitrary parametrizations of the unknown distributions, including nonlinear and non-Gaussian ones. The adaptive GAMP methodology thus provides a systematic, general and computationally efficient method applicable to a large range of linear-nonlinear models with provable guarantees.
Sol-gel derived antireflective structures for applications in silicon solar cells

This work presents theoretical and experimental results of antireflective coatings (ARCs) obtained for applications in silicon solar cells. ARCs were derived from sol-gel process and dip-coated using silica (SiO2) and titania (TiO2). Theoretical results were obtained using 2×2 transfer matrix calculation method. Technological process of SiO2 and TiO2 thin film fabrication as well as measurement techniques are described in this paper. Strong correlation between theoretical and experimental data is demonstrated. It is shown, that weighted average reflection from a substrate can be reduced ten times with the use of SiO2/TiO2/Si double layer ARCs, when compared to a bare silica substrate.
The Roles and Responsibilities of Management Accountants in the Era of Globalization

The accounting profession has witnessed another severe criticism in the light of the recent global economic turmoil. Many questions were raised about the role of accountants in the era of globalization. As a result, there has been a greater research interest opportunities touching the role of the accountants with a special focus in its metamorphosis spanning from the past till the present, keeping in mind the future direction of accountants in the private and public enterprises. This paper therefore seeks to explore the role of accountants, their challenges and the perception of the public toward accountants in the era of globalization.