Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Scheduling for SDMG CIOQ Switches

Combined input and output queuing (CIOQ) switches are being considered as high-performance switch architectures due to their ability to achieve 100% throughput and perfectly emulate output queuing (OQ) switch performance with a small speedup factor S. To realize a speedup factor S, a conventional CIOQ switch requires the switching fabric and memories to operate S times faster than the line rate. In this paper, we propose to use a CIOQ switch with space-division multiplexing expansion and grouped input/output ports (SDMG CIOQ switch for short) to realize speedup while only requiring the switching fabric and memories to operate at the line rate. The cell scheduling problem for the SDMG CIOQ switch is abstracted as a bipartite k-matching problem. Using fluid model techniques, we prove that any maximal size k-matching algorithm on an SDMG CIOQ switch with an expansion factor 2 can achieve 100% throughput assuming input line arrivals satisfy the strong law of large numbers (SLLN) and no input/output line is oversubscribed. We further propose an efficient and starvation-free maximal size k-matching scheduling algorithm, kFRR, for the SDMG CIOQ switch. Simulation results show that kFRR achieves 100% throughput for SDMG CIOQ switches with an expansion factor 2 under two SLLN traffic models, uniform traffic and polarized traffic, confirming our analysis.
Media access mechanisms for integrated services in wireless networks

In the paper, we propose a media access framework for supporting integrated service including the real-time service, the controlled load service, and the best effort service in wireless networks. Three medium access mechanisms, the "Multi-classes fair scheduling", the "Single-class fair scheduling + DCF", and the "Single-class fair scheduling + DCF with threshold for controlled load service" are proposed in the paper to manage the traffic within a piconet. Moreover, a measurement based admission control algorithm is proposed to guarantee the QoS requirements for the requests. We compare the performance of the proposed access mechanisms by conducting simulations. The simulation results show that the "Multi-classes fair scheduling " mechanism is the best choice for the networks occupied by the real-time service; the "Single-class fair scheduling + DCF with threshold for controlled service" mechanism is the best for controlled service in general case.
Using Compressive Sensing With Low Latency

We propose a method for analysis of surveillance video by using low rank and sparse decomposition (LRSD) with low latency combined with compressive sensing to segment the background and extract moving objects in a surveillance video. Video is acquired by compressive measurements, and the measurements are used to analyze the video by a low rank and sparse decomposition of a matrix. The low rank component represents the background, and the sparse component, which is obtained in a tight wavelet frame domain, is used to identify moving objects in the surveillance video. An important feature of the proposed low latency method is that the decomposition can be performed with a small number of video frames, which reduces latency in the reconstruction and makes it possible for real time processing of surveillance video. The low latency method is both justifi ed theoretically and validated experimentally. © 2014 Alcatel-Lucent.
From thresholding dimension reduction to informative component extraction

Generally, pattern recognition systems is designed with a relatively small amount of training data on parameter estimates; moreover, during test, finite sample size of testing data might bring trouble for the expected bias and variance of the models. Plug-in test statistics suffer from large estimation errors, often causing the performance to degrade as the measurement vector dimension increases. Thresholding dimensionality reduction method is briefly introduced first. An extension of this idea as informative component extraction is discussed for recognition system, especially in biometrics. A novel nominal model as the population distribution is introduced to reduce the dimension. Two different kind of benefits are obtained from this method are discussed. The modified test statistic is evaluated with a set of processed physical signals. Authentication testing for the exponential distribution is examined first. Special attention is paid to a high dimension Gaussian model with unknown mean and variances. Moreover, the performance is examined with different sample size.
Facial recognition and brain asymmetries: Clues to underlying mechanisms

A series of similar faces was presented to either the left or right visual field of three adults with brains surgically split along the corpus callosum. The left hemisphere displayed a marked and persistent deficit in performing a match‐to‐sample task, whereas the right hemisphere performed the task well. Additional test results suggest that the superiority is not specific to faces and is also not caused by specialized differences in sensory processes, but rather is related to differences in each hemisphere's ability to encode stimuli that cannot be adequately differentiated with a verbal description.
The Prognostic Value of SOX2 Expression in Non-Small Cell Lung Cancer: A Meta-Analysis

Objective To investigate the association of SOX2 expression in tumor with clinicopathological features and survival of non-small-cell lung carcinoma (NSCLC) patients. Methods Publications assessing the clinicopathological characteristics and prognostic significance of SOX2 in NSCLC were identified up to May 2013. A meta-analysis of eligible studies was performed using standard statistical methods to clarify the association between SOX2 expression and these clinical parameters. Results A total of eight studies met the inclusion criteria. Analysis of these data showed that SOX2 expression was positively associated with squamous histology, (pooled OR = 5.26, 95% CI: 1.08–25.6, P = 0.040). Simultaneously, we also found that SOX2 expression was positively associated with overall survival (pooled HR = 0.65, 95% CI: 0.47–0.89, P = 0.007, random-effect). Conclusions SOX2 expression in tumor is a candidate positive prognostic biomarker for NSCLC patients.
Knockdown of Bcl-xL Enhances Growth-Inhibiting and Apoptosis-Inducing Effects of Resveratrol and Clofarabine in Malignant Mesothelioma H-2452 Cells

Mcl-1 and Bcl-xL, key anti-apoptotic proteins of the Bcl-2 family, have attracted attention as important molecules in the cell survival and drug resistance. In this study, we investigated whether inhibition of Bcl-xL influences cell growth and apoptosis against simultaneous treatment of resveratrol and clofarabine in the human malignant mesothelioma H-2452 cells. Resveratrol and clofarabine decreased Mcl-1 protein levels but had little effect on Bcl-xL levels. In the presence of two compounds, any detectable change in the Mcl-1 mRNA levels was not observed in RT-PCR analysis, whereas pretreatment with the proteasome inhibitor MG132 led to its accumulation to levels far above basal levels. The knockdown of Bcl-xL inhibited cell proliferation with cell accumulation at G2/M phase and the appearance of sub-G0/G1 peak in DNA flow cytometric assay. The suppression of cell growth was accompanied by an increase in the caspase-3/7 activity with the resultant cleavages of procaspase-3 and its substrate poly (ADP-ribose) polymerase, and increased percentage of apoptotic propensities in annexin V binding assay. Collectively, our data represent that the efficacy of resveratrol and clofarabine for apoptosis induction was substantially enhanced by Bcl-xL-lowering strategy in which the simultaneous targeting of Mcl-1 and Bcl-xL could be a more effective strategy for treating malignant mesothelioma. Graphical Abstract
Various artifacts reduction algorithms for EEG recorded in continuous fMRI scan environment

The EEG recorded in fMRI scanner are totally submerged in gradient, ballistocardiogram and ocular artifacts. Traditional ways to reduce these artifacts have many limitations. AAS has a high requirement on recording and calculating and ICA denoising can be hardly done objectively without extra references. In this paper, we try to simplify and improve the AAS to lower its requirements on calculating. PCA dimension reduction is also introduced to overcome the problem of ICA denoising. A various artifacts removal method is developed based on improved AAS called Re-seg AAS and ICA&PCA. Comparisons before and after each processing step in both time and frequency domain shows that proposed method reduce gradient, ballistocardiogram and ocular artifacts effectively.
On the Construction of an Antidictionary of a Binary String with Linear Complexity

An antidictionary of a binary string is a set of words of minimal length that never appear in this string. Antidictionaries are in particular useful for source coding. We present a fast and memory-efficient algorithm to construct an antidictionary for a binary string using a suffix tree. It is proved that the complexity of this algorithm is linear in space and time, and its effectiveness is demonstrated by simulation results
A Distributed Intelligent Agent Architecture for Simulating Aggregate-Level Behavior and Interactions on the Battlefield

Combat simulations are playing an increasing role in training in the military. This is especially true for training staff officers in tactical operations centers (TOCs) at intermediate echelons. In the University XXI project at Texas A&M University, we are developing a digital battle-staff trainer (DBST) system. For implementing the DBST, a multi-agent architecture called TaskableAgents has been designed for simulating the internal operations, decision-making, and interactions of battalion TOC staffs. The core of the TaskableAgents Architecture is a knowledge representation language called TRL. The application of knowledge in TRL to select actions for an agent is carried out by an algorithm called APTE. By communicating and sharing information based on reasoning about each other’s roles, the TaskableAgents Architecture allows multiple agents to work together as teams to accomplish collective goals. This general approach could be used to simulate the intelligent behaviors of a wide variety of tactical decision-making units in military combat simulations.
Evaluation of different approaches in 3 D curved kernel for arrangements of quadrics

Within the context of the ACS project we have investigated two approaches towards the arrangements of quadrics. The first approach, which is presented in ACS-TR-241402-01, computes the adjacency graph of the arrangement and is based on an exact parameterization of the appearing intersection curves. The second approach, which is presented in ACS-TR-241402-02, computes the arrangement on each quadric and is base on the computation of the planar arrangement of the projected intersection curves. This report provides a dedicated empirical comparison of both approaches towards the arrangement of quadrics.
Web newspaper layout optimization using simulated annealing

The Web newspaper pagination problem consists of optimizing the layout of a set of articles extracted from several Web newspapers and sending it to the user as the result of a previous query. This layout should be organized in columns, as in real newspapers, and should be adapted to the client Web browser configuration in real time. This paper presents an approach to the problem based on simulated annealing (SA) that solves the problem on-line, adapts itself to the client's computer configuration, and supports articles with different widths.
On design rule correct maze routing

This paper addresses the problem of design rule correct routing, i.e. the avoidance of illegal wiring patterns during routing. These illegal wiring patterns are due to the set of design rules accompanying each specific technology. To avoid software tuning for different technologies, the routing space is modelled as a grid graph, and all design rules are described in terms of the grid graph, including rules that describe illegal wiring patterns. The problem of finding valid, (i.e. containing no illegal wiring patterns) minimum cost connections is shown to be NP-complete, even for single nets. Although this restriction occurs in most technologies, literature does not mention any routing algorithm capable of handling these situations correctly. Two heuristics are presented to solve the routing problem, both ensuring all paths found to be valid. <<ETX>>
Lessons from failure: re-conceiving blogging as personal change support

This paper reports on research-driven design of social technologies. It describes an exploratory field study evaluating and re-conceiving blogging technologies - a mobile phone, a mobile blog, a Weblog and synchronization software - to support personal change, in this case quitting smoking. We briefly describe the design of the blogging technologies and summarise the outcomes of their extended use by four people trying to quit smoking in terms of technology usage, domestication and acceptance and, smoking cessation. We then document some notable features of failure, both of the technology and the quit attempts, describing how understanding the nuances and subtleties of failure highlights important design considerations. Finally, we present some methodological and design recommendations emerging from: a design workshop involving the participants in the field study; and a desktop design exercise.
Design and performance of the 6 GHz waveform digitizing chip DRS4

The high demands of modern experiments in fast waveform digitizing led to the development of the DRS4 chip, which is a radiation hard switched capacitor array (SCA) fabricated in a 0.25 μm CMOS process. It is capable to digitize 8+1 input channels at sampling rates up to 6 Giga-samples per second (GSPS) with an individual channel depth of 1024 bins and a effective range of 11.5 bits. A novel cascading scheme allows the combination of several channels or even chips to deliver very deep sampling depths or interleaved sampling with up to 48 GSPS. An on-chip PLL ensures high timing accuracy over a wide temperature range. The high analog bandwidth of 850 MHz, low power consumption of 40 mW/channel and fast readout time make this chip attractive for many experiments, replacing traditional ADCs and TDCs.
SEASONALITY AND UNIPOLAR RECURRENT MANIA : PRELIMINARY FINDINGS FROM A RETROSPECTIVE STUDY

Fifty patients of recurrent mania were studied for seasonality of which 11 patients fulfilled our study criteria for Seasonal Affective Disorder (recurrent mania). The two groups of seasonal and nonseasonal recurrent mania were compared on clinical and socio-demographic variables. Results characterised recurrent seasonal mania with psychotic features and occurrence of episodes mainly in summer and winter instead of autumn and spring.
Sustainability assessment of biodiesel production in Colombia

Evaluation de la durabilite de la production de biodiesel est un sujet d'importance croissante en raison de l'interet des gouvernements a effectuer des strategies de souverainete, diversifier leur matrice energetique et mis en place l'impact de la production de biocarburants. Dans ce contexte, ce travail propose un modele dynamique du systeme pour evaluer la production de biodiesel dans un contexte specifique, base sur une structure hierarchique generale d'evaluation de la durabilite qui integre les dimensions du developpement durable avec les principes, criteres et indicateurs (PC & I). Le cadre de l'evaluation de la production de biodiesel a ete defini d'apres un ample etat de la technique, ce qui entraine une selection et analyse de 113 documents, y compris les lois, directives et autres documents normatifs, les documents de politique, les certificats et documents publies dans des revues. Pour definir le cadre final, une strategie de validation basee sur les consultations d'experts enquete et une analyse statistique descriptive a ete realisee. Ainsi, un cadre compose de cinq dimensions (sociales, economiques, environnementale, politiques et technologiques), 13 principes et 31 criteres a ete propose. Par la suite, un modele de dynamique de systeme (DS) a ete developpe et applique pour evaluer la durabilite de la production du biodiesel en Colombie. Au depart, le modele DS a ete utilise pour simuler la production du biodiesel, compte tenu des conditions actuelles en Colombie, ce qui permet de determiner le niveau de reference (annees 2008-2014). Par la suite, certains indicateurs exogenes du scenario de reference ont ete modifies afin de generer une analyse de sensibilite pour definir plusieurs conditions fondamentales vers la production de biodiesel durable dans le contexte colombien. Une fois l'analyse de sensibilite a ete realisee, on a determine les conditions qui favorisent ou decouragent la production de biodiesel et, par consequent, des scenarios optimistes et pessimistes ont ete proposees. Les resultats de l'analyse des scenarios peuvent aider les institutions, les decideurs et les autres parte prenants associes a etablir les conditions a realiser pour promouvoir une production durable du biodiesel
A feature selection based on deviation from feature centroid for text categorization

Text categorization is very vital in assisting people to process automatically the information which increases exponentially. But the high dimensionality of the vector space is a big hurdle in applying many sophisticated learning algorithms in text categorization. So feature selection has become a research focus in text categorization. In this paper, we proposed a new feature selection, named FCFS, which uses deviation from the feature centroid over all categories as the score of a feature. We compare the proposed method with four well known feature selections using two classification algorithms on three datasets. The experiments show that proposed method is significantly better than information gain, orthogonal centroid feature selection, mutual information and odds rate in terms of accuracy when Naïve Bayes classifier and Support Vector machines are used.
Program-operators to improve test data generation search

There has recently been a great deal of interest in search based test data generation, with many local and global search algorithms being proposed. In this paper, the program operations, in the form of the program-specific operations used to increase the performance in the generation of test data. The efficacy and performance of the proposed testing approach is assessed and validated using a variety of sample programs, and the empirical investigation is shown to give more than eightfold increase in performance.
Towards a Realistic Energy Model for Wireless Sensor Networks

Energy consumption is one of the most critical protocol properties in a wireless sensor network. Therefore, a precise energy model is required for the evaluation of protocols. In addition to evaluation, an energy model can also be used for on-line energy accounting. After processing user queries, nodes aware of the energy model can send an energy bill towards the network's data sink. This allows the user to adjust future queries to be more energy efficient. The contribution of this paper is twofold: First, a theoretical energy model based on simple finite automata is presented. This model can be used for online accounting, simulation and generation of a-priori knowledge. Second, the proposed theoretical model is backed up by practical measurements using a new measurement device called SNMD, which also offers management functions for sensor-net testbeds. Therewith, output of the theoretical model can be compared to and validated against by real-world measurements.
Outage , Local Throughput , and Achievable Transmission Rate of Narrowband Body Area Networks

Personal area networks and, more specifically, body area networks (BANs) are key building blocks of the future generation networks and the Internet of Things as well. In the last years, research has focused on the channel modeling and the definition of efficient medium access control (MAC) mechanisms. Less attention was paid to network-level performance. Thereby, this paper presents a novel analytical model for network performance analysis with centralized and mesh topologies. This model takes into account the channel statistics (i.e., the large-scale fading) and delivers several insights on the BAN implementation.
13C and 18O isotopic disequilibria in fish otoliths: metabolic and kinetic effects

Distnbution of oxygen and carbon stable isotopes in fish otoliths from a wide range of species was invesugated to determine if the isotopes were deposited in equilibnum with ambient seawater and the potential utihty of isotope data to studies of fish biology Companson of 6180 and 6 I3c data from otoliths w t h estimates of equilibnurn aragonite indicate that ''0, but not I3C was deposited near equdibnum and this confirms the utllity of otolith oxygen isotopes as an indicator of ambient temperature The departure of 613C from equilibrium was considered In light of several current theones on 13c isotope disequilibrium There was a strong correlalon between bI3C and temperature and, concomitantly a strong relationship between 6180 and 6I3C Evldence is presented to support the Importance of metabolic effects in media lng I3C disequdibna and a strong relationship between metabohc rate (VO? ) and 6I3c is hypothesized F~shes with low metabolic rates or those living at low temperatures had 13C deposited near to equilibnum whereas fishes living at higher temperatures showed extreme depletion in otolith I3C Trends were also evident in 613C values in luveniles and adults of a species with the juveniles presumably with a higher metabolic rate being more depleted in I3C than the adults The study shows that both oxygen and carbon stable isotopes have great potential in studies of fish biology and are worthy of further investigation
Stepwise Embryonic Toxicity of Silver Nanoparticles on Oryzias latipes

The developmental toxicity of silver nanoparticles (AgNPs) was investigated following exposure of Oryzias latipes (medaka) embryos to 0.1−1 mg/L of homogeneously dispersed AgNPs for 14 days. During this period, developmental endpoints, including lethality, heart rate, and hatching rate, were evaluated by microscopy for different stages of medaka embryonic development. To compare toxic sensitivity, acute adult toxicity was assessed. There was no difference in acute lethal toxicity between embryo and adult medaka. Interestingly, we found that the increase in stepwise toxicity was dependent on the developmental stage of the embryo. Lethal embryonic toxicity increased from exposure days 1 to 3 and exposure days 5 to 8, whereas there was no change from exposure days 3 to 5. In addition, 7 d exposure to 0.8 mg/L AgNPs resulted in significant heart beat retardation in medaka embryos. AgNPs also caused a dose-dependent decrease in the hatching rate and body length of larvae. These results indicate that AgNP exposure causes severe developmental toxicity to medaka embryos and that toxicity levels are enhanced at certain developmental stages, which should be taken into consideration in assessments of metallic NPs toxicity to embryos.