Miracle-dz/UniFAR-FTUs huggingface dataset:
Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance

The subthreshold membrane voltage of a neuron in active cortical tissue is a fluctuating quantity with a distribution that reflects the firing statistics of the presynaptic population. It was recently found that conductance-based synaptic drive can lead to distributions with a significant skew. Here it is demonstrated that the underlying shot noise caused by Poissonian spike arrival also skews the membrane distribution, but in the opposite sense. Using a perturbative method, we analyze the effects of shot noise on the distribution of synaptic conductances and calculate the consequent voltage distribution. To first order in the perturbation theory, the voltage distribution is a gaussian modulated by a prefactor that captures the skew. The gaussian component is identical to distributions derived using current-based models with an effective membrane time constant. The well-known effective-time-constant approximation can therefore be identified as the leading-order solution to the full conductance-based model. The higher-order modulatory prefactor containing the skew comprises terms due to both shot noise and conductance fluctuations. The diffusion approximation misses these shot-noise effects implying that analytical approaches such as the Fokker-Planck equation or simulation with filtered white noise cannot be used to improve on the gaussian approximation. It is further demonstrated that quantities used for fitting theory to experiment, such as the voltage mean and variance, are robust against these non-Gaussian effects. The effective-time-constant approximation is therefore relevant to experiment and provides a simple analytic base on which other pertinent biological details may be added.
Bridging the Relevance Gap in Political Science – A Response to Matthew Wood

Matthew Wood’s ‘Bridging the Relevance Gap in Political Science’ argues that the current pluralistic approach in political science reduces its impact on public policy in comparison to disciplines such as behavioural economics. The article explores why policy makers err towards positivist quantitative evidence and how political science can address this to increase its relevance to policy makers. Wood is insightful about the challenges facing political scientists – both in undertaking their research and the impact they achieve – highlighting in particular the amount of analysis provided in most studies compared to the practical action points for policy makers. In making these observations, Wood has benefitted from his experience working in the UK Cabinet Office alongside current policy makers.
Unifying the Video and Question Attentions for Open-Ended Video Question Answering

Video question answering is an important task toward scene understanding and visual data retrieval. However, current visual question answering works mainly focus on a single static image, which is distinct from the dynamic and sequential visual data in the real world. Their approaches cannot utilize the temporal information in videos. In this paper, we introduce the task of free-form open-ended video question answering. The open-ended answers enable wider applications compared with the common multiple-choice tasks in Visual-QA. We first propose a data set for open-ended Video-QA with the automatic question generation approaches. Then, we propose our sequential video attention and temporal question attention models. These two models apply the attention mechanism on videos and questions, while preserving the sequential and temporal structures of the guides. The two models are integrated into the model of unified attention. After the video and the question are encoded, the answers are generated wordwisely from our models by a decoder. In the end, we evaluate our models on the proposed data set. The experimental results demonstrate the effectiveness of our proposed model.
Delaunay refinement mesh generation

Abstract : Delaunay refinement is a technique for generating unstructured meshes of triangles or tetrahedral suitable for use in the finite element method or other numerical methods for solving partial differential equations. Popularized by the engineering community in the mid-1980s, Delaunay refinement operates by maintaining a Delaunay triangulation or Delaunay tetrahedralization, which is refined by the insertion of additional vertices. The placement of these vertices is chosen to enforce boundary conformity and to improve the quality of the mesh. Pioneering papers by L. Paul Chew and Jim Ruppert have placed Delaunay refinement on firm theoretical ground. The purpose of this thesis is to further this progress by cementing the foundations of two-dimensional Delaunay refinement, and by extending the technique and its analysis to three dimensions.
Myocardium defects and ventricular hypoplasia in mice homozygous null for the Forkhead Box m1 transcription factor

The Forkhead Box m1 (Foxm1) transcription factor is expressed in cardiomyocytes and cardiac endothelial cells during heart development. In this study, we used a novel Foxm1 −/− mouse line to demonstrate that Foxm1‐deletion causes ventricular hypoplasia and diminished DNA replication and mitosis in developing cardiomyocytes. Proliferation defects in Foxm1 −/− hearts were associated with a reduced expression of Cdk1‐activator Cdc25B phosphatase and NFATc3 transcription factor, and with abnormal nuclear accumulation of the Cdk‐inhibitor p21Cip1 protein. Depletion of Foxm1 levels by siRNA caused altered expression of these genes in cultured HL‐1 cardiomyocytes. Endothelial‐specific deletion of the Foxm1 fl/fl allele in Tie2‐Cre Foxm1 fl/fl embryos did not influence heart development and cardiomyocyte proliferation. Foxm1 protein binds to the −9,259/−9,288‐bp region of the endogenous mouse NFATc3 promoter, indicating that Foxm1 is a transcriptional activator of the NFATc3 gene. Foxm1 regulates expression of genes essential for the proliferation of cardiomyocytes during heart development. Developmental Dynamics 236:1000–1013, 2007. © 2007 Wiley‐Liss, Inc.
Survey on Credit Card Fraud Detection Methods

Due to a rapid advancement in the electronic commerce technology, the use of credit cards has increased. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of credit card fraud also rising. Financial fraud is increasing significantly with the development of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. The fraudulent transactions are scattered with genuine transactions and simple pattern matching techniques are not often sufficient to detect those frauds accurately. Implementation of efficient fraud detection systems has thus become imperative for all credit card issuing banks to minimize their losses. Many modern techniques based on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector Machine, Decision Tree, Fuzzy Logic Based System, Machine learning, Sequence Alignment, Genetic Programming etc., has evolved in detecting various credit card fraudulent transactions. This paper presents a survey of various techniques used in credit card fraud detection mechanisms.
Role of N-terminal brain natriuretic peptide (N-TproBNP) in scleroderma-associated pulmonary arterial hypertension.

AIMS The aims of this study were to evaluate the diagnostic value and to explore the prognostic value of N-terminal brain natriuretic peptide (N-TproBNP) in patients with systemic sclerosis (SSc) both with and without pulmonary arterial hypertension (PAH). METHODS AND RESULTS N-TproBNP, six-minute walk distance (SMWD), haemodynamics (at right heart catheterization) or tricuspid gradient (by echocardiography), and survival were assessed in 109 patients with SSc. The study population included 68 individuals with PAH [mean pulmonary artery pressure (PAP) >25 mmHg and pulmonary capillary wedge pressure <15 mmHg] and 41 individuals without PAH. In patients with PAH, the prognostic value of baseline and change in WHO functional class, N-TproBNP levels, and SMWD were compared using Kaplan-Meier survival curves and Cox proportional hazard analysis. The mean duration of follow-up was 10 months (range 1-18 months). One year survival in patients with normal PAP was 100% when compared with 83.5% in those with SSc-PAH (P < 0.05). The patients without PAH had a mean N-TproBNP level of 139 pg/mL (SD 151); those with SSc-PAH had a significantly higher mean N-TproBNP level of 1474 pg/mL (SD 2642) (P = 0.0002). Among patients with PAH for every order of magnitude increase in N-TproBNP level there was a four-fold increased risk of death (P = 0.002 for baseline level and P = 0.006 for follow-up level). Baseline N-TproBNP levels were correlated positively with mean PAP (r = 0.62; P < 0.0001), pulmonary vascular resistance (PVR) (r = 0.81; P < 0.0001), and inversely with SMWD (r = -0.46; P < 0.0001). Among patients with SSc-PAH, 13 patients (19%) were in WHO functional classes II and had mean N-TproBNP levels of 325 pg/mL (SD 388). Fifty-three patients (78%) were in WHO classes III and IV and had significantly higher mean N-TproBNP levels of 1677 pg/mL (SD 2835) (P = 0.02). At an N-TproBNP level of 395 pg/mL, the sensitivity and specificity for predicting the presence of SSc-PAH were 56 and 95% respectively. CONCLUSION Raised N-TproBNP levels are directly related to the severity of PAH. In screening programs, SSc patients with an N-TproBNP in excess of 395 pg/mL have a very high probability of having pulmonary hypertension. Baseline and serial changes in N-TproBNP levels are highly predictive of survival. A 10-fold increase in N-TproBNP level on therapy is associated with a greater than three-fold increase in mortality, and may indicate therapeutic failure.
Stabilization of a mini-rotorcraft having four rotors

In this paper we present a controller design and implementation on a mini-rotorcraft having four rotors. A Lagrangian model of the helicopter was used for the controller synthesis. The proposed controller is based on Lyapunov analysis. Experimental results show that the controller is able to perform autonomously the tasks of taking-off, hovering and landing.
A Monte Carlo Algorithm for Multi-Robot Localization

Abstract : This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mobile robots in an any-time fashion. When teams of robots localize themselves in the same environment, probabilistic methods are employed to synchronize each robot's belief whenever one robot detects another. As a result, the robots localize themselves faster, maintain higher accuracy, and high-cost sensors are amortized across multiple robot platforms. The paper also describes experimental results obtained using two mobile robots, using computer vision and laser range finding for detecting each other and estimating each other's relative location. The results, obtained in an indoor office environment, illustrate drastic improvements in localization speed and accuracy when compared to conventional single-robot localization.
A Novel Family of Adhesion-Like Molecules That Interacts with the NMDA Receptor

We have identified a novel family of synaptic adhesion-like molecules (SALMs). The family members, SALM1–SALM4, have a single transmembrane (TM) domain and contain extracellular leucine-rich repeats, an Ig C2 type domain, a fibronectin type III domain, and an intracellular postsynaptic density-95 (PSD-95)/Discs large/zona occludens-1 (PDZ) binding domain, which is present on all members except SALM4. SALM1 interacts with PSD-95, synapse-associated protein 102 (SAP102), and SAP97 based on coimmunoprecipitation of detergent-solubilized brain. Distribution studies show that SALM1 is present in synaptic membrane and postsynaptic density fractions but is also distributed in axons and dendrites. Transfection of hippocampal neurons for 4 d in vitro (DIV) with SALM1 more than doubles the dendritic lengths of neurons after 48 h, whereas transfection of neurons 14 DIV has no significant effect on neurite outgrowth. Overexpression of SALM1 in 14 DIV neurons recruits NMDA receptors (NR) and PSD-95 to dendritic puncta. This effect is dependent on the PDZ-binding domain of SALM1. SALM1 also enhances surface expression of transfected NR2A subunit. Immunoprecipitation of detergent-solubilized brain membranes with anti-SALM1 antibodies shows coimmunoprecipitation of NR1 and NR2 subunits. After transfection of heterologous cells with NR1 and NR2 cDNAs, through coimmunoprecipitation analyses, we find that SALM1 also interacts with the NMDA receptor NR1 subunit through its extracellular or TM1 domains.
Real and Complex Monotone Communication Games

Noncooperative game-theoretic tools have been increasingly used to study many important resource allocation problems in communications, networking, smart grids, and portfolio optimization. In this paper, we consider a general class of convex Nash equilibrium problems (NEPs), where each player aims at solving an arbitrary smooth convex optimization problem. Differently from most of current works, we do not assume any specific structure for the players' problems, and we allow the optimization variables of the players to be matrices in the complex domain. Our main contribution is the design of a novel class of distributed (asynchronous) best-response-algorithms suitable for solving the proposed NEPs, even in the presence of multiple solutions. The new methods, whose convergence analysis is based on variational inequality (VI) techniques, can select, among all the equilibria of a game, those that optimize a given performance criterion, at the cost of limited signaling among the players. This is a major departure from existing best-response algorithms, whose convergence conditions imply the uniqueness of the NE. Some of our results hinge on the use of VI problems directly in the complex domain; the study of these new kind of VIs also represents a noteworthy innovative contribution. We then apply the developed methods to solve some new generalizations of Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) games in cognitive radio systems, showing a considerable performance improvement over classical pure noncooperative schemes.
Localization in Multi-Modal Sensor Networks

We describe the design and implementation of solutions for localization problems in multi-modal wireless sensor networks. The problem of network self-localization, namely determining the positions of the nodes that comprise the network, is addressed optically using a set of pan-tilt-zoom (PTZ) cameras to search for a small light-source attached to each of the sensor nodes. Once the locations and headings of the network's nodes are estimated by the cameras, the network can be used to detect and estimate the location of objects traveling through it. Target localization is performed within the network, using information from magnetometers connected to the sensor nodes. We evaluate the performance of the proposed target localization algorithms through simulations and an implementation running on MicaZ motes. Simulation results show that the localization error for a 100-node network whose nodes are randomly deployed over an area of 100 x 100 m, can be less than 10 cm. Moreover, our initial implementation results show that the median of the localization error for magnetic targets in a 1m x 1m field is 7.1 cm.
Explorations of National Culture and Word-of-Mouth Referral Behavior in the Purchase of Industrial Services in the United States and Japan

In this study, the authors examine how national culture affects referral behavior for industrial services such as advertising, banking, and accounting. The authors collected data using interviews with managers of small- and medium-sized companies in the United States and Japan. The results show that national culture has a strong effect on the number of referral sources consulted and that Japanese companies use more than comparable American companies do.
Immunomagnetic-electrochemiluminescent detection of Escherichia coli O157 and Salmonella typhimurium in foods and environmental water samples

Hemorrhagic Escherichia coli O157:H7 strains and other virulent enteric pathogens can pose a serious health threat in tainted meats, poultry, and even drinking water. Traditional culture-based methods for assay of enteric pathogens in foods and water sources are relatively slow, and results can be ambiguous. Immunomagnetic separation (IMS) and detection methods have been investigated and appear promising for rapid bacterial assay of foods and environmental samples. In this work, a commercial sensor which combines IMS with electrochemiluminescence (ECL) detection is evaluated for detection of E. coli O157 and Salmonella typhimurium in foods and fomites. Results indicate that detection limits are in the range of 100 to 1,000 bacteria per ml in pristine buffer for E. coli O157 and S. typhimurium, respectively, or 1,000 to 2,000 bacteria per ml in food samples (depending on the sample) and that total processing and assay time is rapid (< 1 h) even in food samples. An immunologic "hook" or high-antigen-concentration prozone effect was observed above 10(4) and 10(5) bacteria per ml for E. coli O157 and S. typhimurium, respectively. IMS was accomplished in milk, juices, serum, supernatant fluids from ground beef, finely minced chicken, and fish suspensions as well as several freshwater sources and followed by ECL assay. Some samples, especially fish, gave unexpectedly high background ECL. Conversely, low ECL intensity was observed in nonfat and 2% fat milk samples, which appeared to be related to binding or entrapment of the antibody-coated magnetic beads by particulates in the milk, as revealed by microscopy. Results of this evaluation suggest the feasibility of immunomagnetic-ECL methodology for rapid, sensitive, and facile preliminary screening of various foods and fomites for the presence of virulent enteric pathogens.
Navigating vehicles through an unstructured environment with sonar

A procedure to navigate a vehicle from a source to a destination through an unstructured environment using only a sonar sensor is described. The environment considered is a two-dimensional floor plan, consisting of line segments of arbitrary size that is extended into the third dimension. To ensure that a sonar-guided vehicle does not collide with an obstacle, it is necessary to consider an obstacle that produce the weakest echoes and determine the conditions under which these obstacles can be detected. In this environment, the smallest echo is produced by the line that defines the boundary between the two planes, or the edge; and distant edges become invisible. This physical principle then becomes the basis for the navigation strategy, indicating the necessary scanning pattern and maximum step size that guarantee that no collision will occur. The approach is illustrated with results produced by a vehicular robot equipped with a Polaroid sensor. A representative floor plan and the automatically determined path are shown; a blind alley was included to observe the behavior of the algorithm. <<ETX>>
Development Of An Integrated Solution For Multi Scroll Compressors With Wet Vapor Injection

Extensive use of Heat Pumps is essential to meet European 20-20-20. Reversible air-to-water heat pump systems have to operate at high efficiency levels on a wide operating range to be an economical alternative to the traditional heating and cooling systems. This paper presents the advantages, the control and the implementation of multi vapor injected scroll compressors systems in commercial heat pump water heater application. Enhanced Vapor Injection (EVI) technology allows both performance and reliability improvement across the compressors operating area, especially at low ambient temperatures. Wet Vapor Injection allows extending compressors operating range at very low ambient and high condensing temperatures. The development of a solution integrating injection capable scroll compressors, expansion valves and wet/vapor injection control system is presented in this paper.
Operator and Workflow Optimization for High-Performance Analytics

We make a case for studying the impact of intra-node parallelism on the performance of data analytics. We identify four performance optimizations that are enabled by an increasing number of processing cores on a chip. We discuss the performance impact of these opimizations on two analytics operators and we identify how these optimizations affect each another.
Cancer Genes and Genomics Autocrine Endothelin-3 / Endothelin Receptor B Signaling Maintains Cellular and Molecular Properties of Glioblastoma Stem Cells

Glioblastoma stem cells (GSC) express both radial glial cell and neural crest cell (NCC)-associated genes. We report that endothelin 3 (EDN3), an essential mitogen forNCCdevelopment andmigration, is highly produced by GSCs. Serum-induced proliferative differentiation rapidly decreased EDN3 production and downregulated the expression of stemness-associated genes, and reciprocally, two glioblastoma markers, EDN1 and YKL-40 transcripts, were induced. Correspondingly, patient glioblastoma tissues express low levels of EDN3 mRNA and high levels of EDN1 and YKL-40 mRNA. Blocking EDN3/EDN receptor B (EDNRB) signaling by an EDNRB antagonist (BQ788), or EDN3 RNA interference (siRNA), leads to cell apoptosis and functional impairment of tumor sphere formation and cell spreading/migration in culture and loss of tumorigenic capacity in animals. Using exogenous EDN3 as the sole mitogen in culture does not support GSC propagation, but it can rescue GSCs from undergoing cell apoptosis. Molecular analysis by gene expression profiling revealed that most genes downregulated byEDN3/EDNRBblockadewere those involved in cytoskeleton organization, pause of growth and differentiation, and DNA damage response, implicating the involvement of EDN3/EDNRB signaling in maintaining GSC migration, undifferentiation, and survival. These data suggest that autocrine EDN3/EDNRB signaling is essential for maintaining GSCs. Incorporating END3/EDNRB-targeted therapies into conventional cancer treatments may have clinical implication for the prevention of tumor recurrence.Mol Cancer Res; 9(12); 1668–85. 2011 AACR.
Complex networks: small-world, scale-free and beyond

In the past few years, the discovery of small-world and scale-free properties of many natural and artificial complex networks has stimulated a great deal of interest in studying the underlying organizing principles of various complex networks, which has led to dramatic advances in this emerging and active field of research. The present article reviews some basic concepts, important progress, and significant results in the current studies of various complex networks, with emphasis on the relationship between the topology and the dynamics of such complex networks. Some fundamental properties and typical complex network models are described; and, as an example, epidemic dynamics are analyzed and discussed in some detail. Finally, the important issue of robustness versus fragility of dynamical synchronization in complex networks is introduced and discussed.