Miracle-dz/UniFAR-FTUs huggingface dataset:
Co-operative sensor fusion using time warping in multimodal tomometry for process control

Recent studies in process tomography have mostly focused on image processing and enhancement of images obtained from Electrical Capacitance, Electrical Resistance, Electrical Impedance, Gamma- and X-ray- tomographic modalities. In the process industries, there is a growing need for fast acting measurement and control procedures, architectures and their implementation within existing sensor and control suites. With this industrial relevance, a multimodal tomometric sensor fusion is studied involving pressure and capacitance measurements in a two phase flow rig. Pressure is measured using standard pressure sensors, whereas the capacitance are measured using arrays of capacitance electrodes placed on the periphery of a section of the pipe in the multiphase flow rig. These capacitance measurements are performed by using ECT-modules. In this paper, the focus is on early slug detection and timely characterization of these slugs formed in the two phase flow. To associate simultaneous occurrence of slug based phenomena in the time series of the pressure and ECT-signals, dynamic time warping (DTW) algorithms are used. The usage of DTW and the multimodal tomometric sensor suite with pressure and ECT-modules leads to a co-operative sensor data fusion, which can help to identify characteristic features of slugs in two phase flows, which can be significant inputs to the process control unit in the assessment/implementation of necessary actions, such as activating choke valves, reducing pump outputs of one or more of the phases flowing in the rig. Time series of pressure and ECT-signal are studied using DTW and results are compared and fused with some discussions on how these could be used in process control.
Ultraviolet Colors and Extinctions of H II Regions in the Whirlpool Galaxy (M51)

Far-UV (wavelength 1520 Å), U, Hα, and R images of the interacting Sbc spiral galaxy M51 were obtained by the Ultraviolet Imaging Telescope (UIT) during the Astro-2 Spacelab mission of 1995 March and at Mount Laguna Observatory. The μ152 - μU radial gradient of over 1 mag, becoming bluer with increasing radius, is attributed primarily to a corresponding radial extinction gradient. Magnitudes in both UV bands and Hα fluxes are reported for 28 H II regions. Optical extinctions for the 28 corresponding UV sources are computed from the measured m152 - U colors by fitting to the optical extinctions of Nakai & Kuno. The estimated normalized far-UV extinction A152/E(B-V) increases with increasing Galactocentric distance (decreasing metallicity), from 5.99 to 6.54, compared with the Galactic value 8.33. The best-fit m152 - U color for no extinction, -3.07, is the color of a model solar metallicity starburst of age ~2.5 Myr with IMF slope -1.0. H II regions show decreasing observed Hα fluxes with decreasing radius, relative to the Hα fluxes predicted from the observed f152 for age 2.5 Myr, after the Hα and f152 are corrected for extinction. We attribute the increasing fraction of “missing” Hα flux with decreasing radius to increasing extinction in the Lyman continuum. The increasing extinction-corrected far-UV flux of the H II regions with decreasing distance to the nucleus is probably a result of the corresponding increasing column density of the interstellar gas resulting in larger mass OB associations. The estimated dust-absorbed Lyman continuum energy flux is ~0.6 times the far-infrared energy flux of M51 observed by IRAS.
Extended bit-filling and LDPC code design

Campello, Modha and Rajagopalan (see Proc. Int. Conf. Communications (ICC), Helsinki, Finland, 2001) proposed a simple-to-implement heuristic, namely, bit-filling, for constructing high rate and high girth LDPC codes. In the present work, we extend bit-filling, and demonstrate that the extended algorithm produces better codes, that is, codes with higher rate/girth and good bit error rate performance. We demonstrate the positive effect of girth on bit error rate performance.
Cell Lung Cancer Cells Maintenance of Elevated Cyclooxygenase-2 in Non-Small Expression Contributes to the α Abnormal Interleukin 10 R Updated

Non-small cell lung cancer (NSCLC) cells are known to constitutively overexpress cyclooxygenase (COX)-2. Tumor COX-2-dependent production of PGE2 triggers the synthesis of lymphocyte and macrophage interleukin (IL)-10 that, in turn, is known to potently suppress COX-2 in normal cells. Thus, we investigated the capacity of IL-10 to down-regulate COX-2 expression in NSCLC cells. Western blotting and ELISA analyses revealed that IL-10 did not affect COX-2 expression and subsequent PGE2 production in NSCLC cells. Although normal human bronchial epithelial cells expressed both intracellular and membrane IL-10R , NSCLC cells only expressed intracellular but not cell surface membrane IL-10R . Unresponsiveness of COX-2 to IL-10 is due to the deficiency of IL-10R on the surface of NSCLC cells. Our findings highlight a novel mechanism contributing to maintenance of elevated COX-2 and PGE2 in the lung tumor environment.
Arterivirus Nsp1 Modulates the Accumulation of Minus-Strand Templates to Control the Relative Abundance of Viral mRNAs

The gene expression of plus-strand RNA viruses with a polycistronic genome depends on translation and replication of the genomic mRNA, as well as synthesis of subgenomic (sg) mRNAs. Arteriviruses and coronaviruses, distantly related members of the nidovirus order, employ a unique mechanism of discontinuous minus-strand RNA synthesis to generate subgenome-length templates for the synthesis of a nested set of sg mRNAs. Non-structural protein 1 (nsp1) of the arterivirus equine arteritis virus (EAV), a multifunctional regulator of viral RNA synthesis and virion biogenesis, was previously implicated in controlling the balance between genome replication and sg mRNA synthesis. Here, we employed reverse and forward genetics to gain insight into the multiple regulatory roles of nsp1. Our analysis revealed that the relative abundance of viral mRNAs is tightly controlled by an intricate network of interactions involving all nsp1 subdomains. Distinct nsp1 mutations affected the quantitative balance among viral mRNA species, and our data implicate nsp1 in controlling the accumulation of full-length and subgenome-length minus-strand templates for viral mRNA synthesis. The moderate differential changes in viral mRNA abundance of nsp1 mutants resulted in similarly altered viral protein levels, but progeny virus yields were greatly reduced. Pseudorevertant analysis provided compelling genetic evidence that balanced EAV mRNA accumulation is critical for efficient virus production. This first report on protein-mediated, mRNA-specific control of nidovirus RNA synthesis reveals the existence of an integral control mechanism to fine-tune replication, sg mRNA synthesis, and virus production, and establishes a major role for nsp1 in coordinating the arterivirus replicative cycle.
A Multi Cue Discriminative Approach to Semantic Place Classification

This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple cues. Specically, we used an SVM and combined up to four different histogram-based features with the kernel averaging method. We considered as output of the classifier, for each frame, the label and its associated margin, which we took as a measure of the confidence of the decision. If the margin value is below a threshold, determined via cross-validation during training, the classier abstains from assigning a label to the incoming frame. This method was submitted to the obligatory task, obtaining a maximum score of up to 662, which ranked second in the overall competition. We then extended this algorithm for the optional task, where it is possible to exploit the temporal continuity of the sequence. We implemented a door detector so to infer when the robot has entered a new room. Then, we designed a stability estimation algorithm for determining the label of the room where the robot has entered, and we used this knowledge as a prior for the upcoming frames. Our approach obtained a score of up to 2052 in the obligatory task, ranking first.
Towards more accurate prediction of ubiquitination sites: a comprehensive review of current methods, tools and features

Protein ubiquitination is one of the most important reversible post-translational modifications (PTMs). In many biochemical, pathological and pharmaceutical studies on understanding the function of proteins in biological processes, identification of ubiquitination sites is an important first step. However, experimental approaches for identifying ubiquitination sites are often expensive, labor-intensive and time-consuming, partly due to the dynamics and reversibility of ubiquitination. In silico prediction of ubiquitination sites is potentially a useful strategy for whole proteome annotation. A number of bioinformatics approaches and tools have recently been developed for predicting protein ubiquitination sites. However, these tools have different methodologies, prediction algorithms, functionality and features, which complicate their utility and application. The purpose of this review is to aid users in selecting appropriate tools for specific analyses and circumstances. We first compared five popular webservers and standalone software options, assessing their performance on four up-to-date ubiquitination benchmark datasets from Saccharomyces cerevisiae, Homo sapiens, Mus musculus and Arabidopsis thaliana. We then discussed and summarized these tools to guide users in choosing among the tools efficiently and rapidly. Finally, we assessed the importance of features of existing tools for ubiquitination site prediction, ranking them by performance. We also discussed the features that make noticeable contributions to species-specific ubiquitination site prediction.
Cellular and network mechanisms of slow oscillatory activity ( < 1 Hz ) in a cortical network model

Slow oscillatory activity (< 1 Hz) is observed in vivo in the cortex during slowwave sleep or under anesthesia, and in vitro when the bath solution is chosen to more closely mimic cerebrospinal fluid. Here, we present a biophysical network model for the slow oscillations observed in vitro that reproduces the single neuron behaviors and collective network firing patterns in control as well as under pharmacological manipulations. The membrane potential of a neuron oscillates slowly (at < 1 Hz) between a Down state and an Up state; the Up state is maintained by strong recurrent excitation balanced by inhibition, and the transition to the Down state is due to a slow adaptation current (Na-dependent K current). Consistent with in vivo data, the input resistance of a model neuron, on average, is the largest at the end of the Down state and the smallest during the initial phase of the Up state. An activity wave is initiated by spontaneous spike discharges in a minority of neurons, and propagates across the network at a speed of 3-8 mm/sec in control and 20-50 mm/sec with inhibition block. Our work suggests that long-range excitatory patchy connections contribute significantly to this wave propagation. Finally, we show with this model that various known physiological effects of neuromodulation can switch the network to tonic firing, thus simulating a transition to the waking state.
Analisis Filosufis Pemikiran Ibnu Miskawaih (Sketsa Biografi, Konsep Pemikiran Pendidikan, Dan Relevansinya Di Era Modern)

This study aims to determine the philosophical analysis of Ibn Miskawaih thoughts (biographical sketches, concepts of educational thought, and their relevance in the modern era). Education is an effort made by someone to make a change towards a better one. In Indonesia education is more interpreted as a formal institution that has the aim to develop the academic potential of students in order to realize educational goals. One of the leaders of Islamic education, Ibn Miskawaih. Ibn Miskawaih is one of the leaders of Islamic education who contributed ideas to education. The focus of this study on the philosophical analysis of Ibn Miskawaih's thoughts (biographical sketches, concepts of educational thought, and their relevance to modern diera). This study uses the method of literature and analytical studies to build a theoretical framework in this article. In conclusion, Ibn Maskawaih considered the significance of education and the environment for humans in relation to moral formation. Thus human beings with their minds can choose and distinguish which ones should be done and which ones should be left behind. Ibn Maskawaih's thinking in education cannot be separated from his concept of man and morals. Ibn Maskawaih views human beings as having three powers, from those three types of power which are two from the material element and one from the spirit of God.
The Wage Premium to a University Education in Canada, 1971-1991

Using micro data from the Canadian Survey of Consumer Finances, 1971-91, we investigate the return to a university education. Our conclusions are that while there appears to have been some decline in the return to a university degree during the 1970s in Canada (similar to the United States), the return did not rebound much during the 1980s except among the youngest experience (age) group. There is, however, considerable noise in the ratios from year to year so that one is likely to draw misleading inferences if only a few years of data are used.
Dynamically stabilized indirect current controlled SPWM boost type 3-phase rectifier

Near-sinusoidal-waveform currents of unity power factor can be obtained from the sinusoidal PWM (pulsewidth-modulated) rectifier using indirect current control. It is shown that the indirect current control must compensate dynamically for LdI/dt or else the stability region is very restricted. When correctly compensated, the dynamic indirect current controller can operate arrays of identical bridge rectifier modules in parallel and/or in series to augment the power ratings. By evenly staggering the phase shifts of the triangular carrier to each module in the arrays, switching harmonics can be eliminated. High-quality waveforms can be synthesized with slow switching devices such as GTOs (gate-turn-offs) and even force-commutated thyristors. Switching losses are also reduced. <<ETX>>
A Constructive Approach to Problem Frame Semantics

The Problem Frame approach (PF) is an effective requirements engineering tool for analysing and structuring software development problems. PF has a graphical notation that is easy to use and understand. PF imposes only loose constraints on the features of the language used to describe its components and, with only slight restrictions, Hoare’s CSP can be used. Although not generally applicable, in this paper we show that CSP can provide a constructive way to arrive at a solution to a PF expressed problem. The work is situated in the Problem Frame Semantics for Software Development of Hall, Rapanotti and Jackson.
Real-Time Estimate of Velocity and Acceleration of Quasi-Periodic Signals Using Adaptive Oscillators

Estimation of the temporal derivatives of a noisy position signal is a ubiquitous problem in industrial and robotics engineering. Here, we propose a new approach to get velocity and acceleration estimates of cyclical/periodic signals near to steady-state regime, by using adaptive oscillators. Our method combines the advantages of introducing no delay, and filtering out the high-frequency noise. We expect this method to be useful in control applications requiring undelayed but smooth estimates of velocity and acceleration (e.g., velocity control and inverse dynamics) of quasi-periodic tasks (e.g., active vibration compensation, robot locomotion, and lower-limb movement assistance).
An optimized LDPC product network coding scheme in multiple access relay system

An optimized LDPC-product network coding scheme is proposed for a multiple-access relay system with two users, one relay station (RS) and one base station (BS). In the first stage, these two users broadcast their LDPC-coded data packets in turn to the RS and the BS. In the second stage, the RS uses LDPC product code to combine the decoded packets from these two users and generate extra redundancy instead of employing XOR-based network coding, and then the RS forwards the redundancy packet to the BS. In the third stage, the BS decodes the packets from the users and the RS jointly by the iterative decoding (ID) manner. In this scheme, based on the extrinsic information transfer (EXIT) charts, an optimization algorithm of irregular LDPC product code is also put forward in order to further improve the performance of the system. Simulation results confirm that the proposed scheme significantly outperforms the regular LDPC-product networking coding scheme and the conventional XOR-based network coding scheme on both AWGN and fading channels.
Object oriented Bayesian network for industrial process operation

We present an application, where extensions of existing methods for decision-theoretic troubleshooting are used for industrial process operation and asset management. The extension includes expected average cost of asset management actions, prediction of signals’ level-trend development, risk assessment for disturbance analysis and predictive maintenance on demand. By the use of a distributed control system (DCS), it incorporates requirements from the user and the industrial process operation. First level diagnostic packages serve as agents in the system architecture and provide evidence for automated reasoning on abnormality in process operation. The system collects userand DCS-feedback for sequential learning to reflect changing process characteristics. The methodology has been applied on a screening process in a Pulp Mil.
Peer-to-peer between browsers: cyclon protocol over WebRTC

The web application paradigm has become a dominant choice due to the ubiquity of web browsers across PCs and mobile devices, and the layer of abstraction that they provide. However, browsers have traditionally communicated only with servers, never from one browser to another. The WebRTC API overcomes this limitation, providing further avenues for the web application paradigm to evolve. In this paper we present Cyclon.p2p an implementation of the Cyclon peer sampling protocol using the WebRTC API. We provide a detailed overview of our system, and conduct a thorough evaluation of the implementation in real-world and simulated experiments. Our results strongly suggest that our implementation is feasible for large scale deployment in real world Web applications.
Retrieving the potential field response from cross-correlations

We show that the two-point cross-correlation of potential-field recordings is equal to the Green’s function between the two points. This holds under the condition that spatially and temporally uncorrelated noise sources exist throughout the volume. They should have a known amplitude spectrum and their correlated strengths should be equal to the real part of the dissipative medium property function. Natural fluctuations, such as thermal noise, may occur that satisfy the necessary conditions. When these fluctuations are random deviations from a state of thermal equilibrium the fluctuation-dissipation theorem determines these external sources. This allows for Green’s function retrieval for all types of fields that satisfy a similar quasi-static field equation. Under equilibrium conditions, possible downhole reservoir applications include virtual source DC electric resistivity measurements, fluid flow measurements and local temperature estimations.
Detecting communities in time-evolving proximity networks

The pattern of interactions between individuals in a population contains implicitly within them a remarkable amount of information. This information, if extracted, could be of significant importance in several realms such as containing the spread of disease, understanding information flow in social systems and predicting likely future interactions. A popular method of discovering structure in networks is through community detection which attempts to capture the extent to which that network is different from a random network. However, communities are not very well defined for time-varying networks. In this paper, we introduce the notion of spatio-temporal communities that attempts to capture the structure in spatial connections as well as temporal changes in a network. We illustrate the notion via several examples and list the challenges in effectively discovering spatio-temporal communities. For example, such communities are lost if the temporal interactions are aggregated in a single weighted network since the concurrency information is lost. We present an approach that first extracts concurrency information via node-clustering on each snapshot. Each node is then assigned a vector of community memberships over time, which is then used to group nodes into overlapping communities via recently introduced link clustering techniques. However we measure similarity (of nodes and edges) based on concurrence, i.e. when they existed, if they existed together. We call our approach the co-community algorithm. We validate our approach using several real-world data sets spanning multiple contexts.
Node-level Representation and System Support for Network Programming

One problem of the current network programming implementation in TinyOS 1.1 is that it takes much longer than the tranditional in-sytem-programming due to the slow radio connection. We extended the implementation so that it uses the history of the previous version to reduce the transmission time. For a small amount of change in the source code, we achieved around 3.5 times of the speed-up. And for the case where no code blocks were shared, our implementation worked as much as the current implementation.
Extending CRAFT Data-Distributions for Sparse Matrices

The existing methods for distributing data across the processors are not very useful for irregular problems. However, there are some new distribution techniques for this kind of problems, as MRD (Multiple Recursive Decomposition) and BRS (Block Row Scatter), which could be applicated by a data-parallel compiler. In this paper we present a performance comparison of regular (BLOCK and CYCLIC) versus pseudo-regular (BRS) data distribution for sparse matrices on the Cray T3D. We will show results for one of the most useful nonstationary iterative methods for solving symmetric positive de(cid:12)nite systems, the Sparse Conjugate Gradient algorithm, using CRAFT with its data-distributions and using two parallelized by-hand codes written in C and Fortran with the BRS sparse distribution
Identify Keywords for Stack Exchange Questions

We leveraged a wide range of knowledge in machine learning and information retrieval to develop a robust keywords identification system. In particular, we adapted the Tf-Idf heuristic for feature selection, investigated linear regression, logistic regression, and SVM for predicting number of keywords (tags), and also implemented NaiveBayes, Labeled Latent Dirichlet Allocation(L-LDA) algorithms for identifying keywords. After varies experiments, we analysed the results and derived conclusions.
Maximum likelihood estimation of the multivariate fractional cointegrating model

Departures from an economic equilibrium should be mean reverting. The deviations are often assumed to be integrated of order zero but this is too restrictive. It is sufficient that the shocks are integrated of an order less than one, i.e. they may be fractionally integrated. A fractionally cointegrated system is developed. Further, estimation and testing are discussed, analytically and by Monte Carlo simulations. The Monte Carlo simulations shows that it is much more severe to ignore fractional cointegration than incorporating it when it is not present.