Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling professional similarity by mining professional career trajectories

For decades large corporations as well as labor placement services have maintained extensive yet static resume databanks. Online professional networks like LinkedIn have taken these resume databanks to a dynamic, constantly updated and massive scale professional profile dataset spanning career records from hundreds of industries, millions of companies and hundreds of millions of people worldwide. Using this professional profile dataset, this paper attempts to model profiles of individuals as a sequence of positions held by them as a time-series of nodes, each of which represents one particular position or job experience in the individual's career trajectory. These career trajectory models can be employed in various utility applications including career trajectory planning for students in schools & universities using knowledge inferred from real world career outcomes. They can also be employed for decoding sequences to uncover paths leading to certain professional milestones from a user's current professional status. We deploy the proposed technique to ascertain professional similarity between two individuals by developing a similarity measure SimCareers (Similar Career Paths). The measure employs sequence alignment between two career trajectories to quantify professional similarity between career paths. To the best of our knowledge, SimCareers is the first framework to model professional similarity between two people taking account their career trajectory information. We posit, that using the temporal and structural features of a career trajectory for modeling profile similarity is a far more superior approach than using similarity measures on semi-structured attribute representation of a profile for this application. We validate our hypothesis by extensive quantitative evaluations on a gold dataset of similar profiles generated from recruiting activity logs from actual recruiters using LinkedIn. In addition, we show significant improvements in engagement by running an A/B test on a real-world application called Similar Profiles on LinkedIn, world's largest online professional network.
Exploring Self-Efficacy as a Predictor of Disease Management

Self-efficacy is posited in social cognitive theory as fundamental to behavior change. Few health behavior studies have examined self-efficacy prospectively, viewed it as part of a reciprocal behavioral process, or compared self-efficacy beliefs in the same population across different behaviors. This article first discusses self efficacy in its theoretical context and reviews the available prospective studies. Second, it explores self-efficacy as a predictor of disease management behaviors in 570 older women with heart disease. Although the R 2 statistics in each case were modest, the construct is shown to be a statistically significant (p < .05) predictor at both 4 and 12 months postbaseline of several disease management behaviors: using medicine as prescribed, getting adequate exercise, managing stress, and following a recommended diet. Building self-efficacy is likely a reasonable starting point for interventions aiming to enhance heart disease management behaviors of mature female patients.
Application of Neural Network in Design of Digital Filters

5.1 INTRODUCTION Any action on a signal that modifies the spectral content of the signal is called filtering. This includes the enhancement or suppression of certain features of the signal and is usually achieved by the use of linear time invariant systems. There are situations where the system may change with time in a particular manner; such systems are called adaptive filters. In this section, we describe fixed filters only. There are two broad classes of digital filters. The first class is called finite impulse response (FIR) filters, since their response to an impulse dies away in a finite number of samples. FIR filters are developed as non-recursive structures and are inherently simpler to design. The second class of digital filters is recursive filters. The impulse responses of recursive filters are composed of sinusoids that exponentially decay in amplitude. This makes their impulse responses infinitely long. Because of this characteristic, recursive filters are called infinite impulse response (IIR) filters. An IIR filter can be represented by either difference equation or state space form. The state space form in general involves more numbers of coefficients than a transfer function unless it is represented as one of the canonical forms. Howev er, there are many benef its from using a state space model in the analysis, design, and implementation of digital filters. First, the state space model, with the exception of canonical structures, is more robust than a transfer function representation. In other words, it exhibits less coefficient sensitivity. Second, various forms of state space models possess distinctive properties that are desirable in different applications. For instance, the balanced realization exhibits superior performance in the context of minimizing scaling and round-off noise. Third, the major part of modern control theory is based on the state space model. Furthermore, the difference function representation could be uniquely determined by the state space form representation. The reverse is not necessarily true. In this chapter, the state space model will be utilized for the IIR filter design. In the above filter representations, all inputs, outputs or states are function of a single variable, which is time in most cases. We call these types of filters one-dimensional (1-D) filters. There are other types of filters in which the inputs, outputs and states are the function of more than one variable. One example is
Research on Recognition Methods of Bus Front Road Condition Based on Video

Among safe driving systems of intelligent transportation, the road recognition for bus driving, Especially for front road driving condition, becomes more and more important. Moreover, improving the road recognition of public transport vehicles can greatly improve safe driving performance as well as safety and comfort of passenger. Road before driving generally includes vehicle, pedestrians and suspected obstacles, which can be detected based on image technology intuitively and quickly. Based on video image processing technology, using imaging principles, this paper predicts the bus driving route of next moment, and calculates the minimum safe distance after making Canny edge improved algorithm. Coupling radar real-time detects for speed and distance of obstacles in front, the real-time monitoring of road front driving for bus is realized. Finally, the collision avoidance simulation verifies the correctness of this method, which has very broad application areas.
On the Compensation of Magnitude Response Mismatches in M-channel Time-interleaved ADCs

Parallel time-interleaved analog-to-digital converters (TI-ADCs) are an attractive architecture to realize low-power and high-speed data conversion. As a drawback of such converters, mismatches between the channels impair their performance, e.g., the spurious free dynamic range (SFDR). One characteristic that varies among all channels is the magnitude response. The authors proposed a method to compensate magnitude response mismatches in two-channel TI-ADCs. In this paper the authors extend this method to an arbitrary number of channels, discuss a possible implementation, and evaluate its performance. For an M-channel TI-ADC the compensation method requires (M-1) linear-phase FIR filters with relatively short tap sizes and (M-1) multipliers to modulate the filter output. Simulations confirm the effectiveness of the proposed method.
BioIDMapper: A cross-referencing and managing platform for biological IDs in R

Many new databases aiming at genes and proteins are developed as more and more species are sequenced. It becomes tedious job to navigate among different data resources, map various IDs, and collect and analyze separate biological knowledge. Current popular databases include Entrez Gene, UniProt, Gene Ontology, EMBL, OMIM, PubMed, KEGG, etc. Based on NCBI and UniProt, BioIDMapper can facilitate cross-referencing between different databases, integrate various ID systems and provide a full practical view from the gene, mRNA and functional level regarding one list of specific IDs. It also provides a graphical managing platform to subset biological IDs, connect to external resources, and summarize mapping results. The package and user documentation are free available at CRAN, the R project's repository of packages, at http://cran.r-project.org/web/packages/BioIDMapper or http: //sourceforge.net/projects/bioidmapper/files.
Coordinate Regulation of Stem Cell Competition by Slit-Robo and JAK-STAT Signaling in the Drosophila Testis

Stem cells in tissues reside in and receive signals from local microenvironments called niches. Understanding how multiple signals within niches integrate to control stem cell function is challenging. The Drosophila testis stem cell niche consists of somatic hub cells that maintain both germline stem cells and somatic cyst stem cells (CySCs). Here, we show a role for the axon guidance pathway Slit-Roundabout (Robo) in the testis niche. The ligand Slit is expressed specifically in hub cells while its receptor, Roundabout 2 (Robo2), is required in CySCs in order for them to compete for occupancy in the niche. CySCs also require the Slit-Robo effector Abelson tyrosine kinase (Abl) to prevent over-adhesion of CySCs to the niche, and CySCs mutant for Abl outcompete wild type CySCs for niche occupancy. Both Robo2 and Abl phenotypes can be rescued through modulation of adherens junction components, suggesting that the two work together to balance CySC adhesion levels. Interestingly, expression of Robo2 requires JAK-STAT signaling, an important maintenance pathway for both germline and cyst stem cells in the testis. Our work indicates that Slit-Robo signaling affects stem cell function downstream of the JAK-STAT pathway by controlling the ability of stem cells to compete for occupancy in their niche.
Digital Coherent Receiver Technology for 100-Gb/s Optical Transport Systems

Digital coherent receivers are expected to be the most important building block of 100-Gb/s optical transport systems. As a platform for evaluating their real-time operational stability and thus helping to realize product-level reliability, Fujitsu Laboratories and Fujitsu have fabricated a test circuit to implement basic algorithms such as carrier phase recovery and optical frequency offset compensation. The experimental results showed an excellent bit error ratio performance that is only 1 dB away from the theoretical limit.
A fast placement and global routing integrated algorithm for hierarchical FPGAs

Traditional physical design of FPGAs is usually divided into 2 phases, placement and routing. While it simplifies design modelling and algorithm implementation, some problems such as mismatches between the two will also occur when a valid placed circuit can't be globally routed. The mismatches can significant increase the overall runtime of the physical design. A new placement and global routing integrated algorithm is proposed in order to reduce these mismatches. By immediately applying a global routing feedback to each placement step, the invalid placement step can be found and re-placed. Finally, a valid placed, globally routed circuit is obtained ready for the following detailed routing. This algorithm also takes advantages of the architectural features of the new hierarchical FPGAs and employs clustering at each placement step. As the clustering algorithm is hierarchical in its essence, it is very similar with the FPGA in structure. As a result, the proposed algorithm is very fast in runtime due to all these facts. The experimental results show that a very large circuit can be placed and globally routed very quickly in just a few seconds.
La campaña electoral en Internet: planificación, repercusión y viralización en Twitter durante las elecciones españolas de 2015

This study focuses on the partisan use of Twitter in the Spanish general election, 2015. The aim is to asses whether the strategy designed by the parties is equivalent to the result in terms of viralization. The methods used to study this social media were interviews to campaign managers and content analysis of messages published on the Internet. The results show that the strategy on Twitter is not successful when traditional media impact is not considered.
Mitochondrial Membrane Potential and Nuclear Changes in Apoptosis Caused by Serum and Nerve Growth Factor Withdrawal: Time Course and Modification by (−)-Deprenyl

Studies in non-neural cells have suggested that a fall in mitochondrial membrane potential (ΔΨM) is one of the earliest events in apoptosis. It is not known whether neural apoptosis caused by nerve growth factor (NGF) and serum withdrawal involves a decrease in ΔΨM. We used epifluorescence and laser confocal microscopy with the mitochondrial potentiometric dyes chloromethyl-tetramethylrosamine methyl ester and 5,5′,6,6′-tetrachloro-1,1′,3,3′-tetraethybenzimidazol carbocyanine iodide to estimate ΔΨM. PC12 cells were differentiated in media containing serum and NGF for 6 d before withdrawal of trophic support. After washing, the cells were incubated with media containing serum and NGF (M/S+N), media without serum and NGF, or media with the “trophic-like” monoamine oxidase B inhibitor, (−)-deprenyl. Mitochondria in cells without trophic support underwent a progressive shift to lower ΔΨM values that was significant by 3 hr after washing. The percentages of cells with nuclear chromatin condensation or nuclear DNA fragmentation were not significantly increased above those for cells in M/S+N until 6 hr after washing. Replacement of cells into M/S+N or treatment with (−)-deprenyl markedly reduced the proportion of mitochondria with decreased ΔΨM. Measurements of cytoplasmic peroxyl radical levels with 2′,7′-dihydrodichlorofluorescein fluorescence and intramitochondrial Ca2+ with dihydro-rhodamine-2-acetylmethyl ester indicated that cytoplasmic peroxyl radical levels were not increased until after 6 hr, whereas increases in intramitochondrial Ca2+ paralleled the decreases in ΔΨM. (−)-Deprenyl appeared to alter the relationship between intramitochondrial Ca2+ levels and ΔΨM, possibly through its reported capacity to increase the synthesis of proteins such as BCL-2.
Robust map generation for fixed-wing UAVs with low-cost highly-oblique monocular cameras

Accurate and robust real-time map generation onboard of a fixed-wing UAV is essential for obstacle avoidance, path planning, and critical maneuvers such as autonomous take-off and landing. Due to the computational constraints, the required robustness and reliability, it remains a challenge to deploy a fixed-wing UAV with an online-capable, accurate and robust map generation framework. While photogrammetric approaches have underlying assumptions on the structure and the view of the camera, generic simultaneous localization and mapping (SLAM) approaches are computationally demanding. This paper presents a framework that uses the autopilot's state estimate as a prior for sliding window bundle adjustment and map generation. Our approach outputs an accurate geo-referenced dense point-cloud which was validated in simulation on a synthetic dataset and on two real-world scenarios based on ground control points.
Signal-regulatory protein α from the NOD mouse binds human CD47 with an exceptionally high affinity – implications for engraftment of human cells

One common way to study human leucocytes and cancer cells in an experimental in vivo situation is to use mice that have been genetically engineered to lack an immune system and prevent human cell rejection. These mice lack CD132 and either RAG2 or the catalytic subunit of the DNA‐dependent protein kinase, to make the mice deficient in lymphocytes and natural killer cells. The NOD mouse strain provides a better background for engraftment than other strains due to stronger engagement of the signal‐regulatory protein‐α (SIRPα) inhibitory receptor with human CD47 (hCD47) resulting in a ‘don't‐eat‐me’ signal. To determine the molecular parameters that determine this major functional effect in the NOD mouse we measured the affinity of hCD47 for SIRPα from various mouse strains. Human CD47 bound SIRPα from the NOD mouse with an affinity 65 times greater than SIRPα from other mouse strains. This is due mainly to the NOD SIRPα lacking two amino acids in domain 1 compared with other mouse strains. Remarkably the SIRPα(NOD) binds hCD47 with 10 times the affinity of the syngeneic hCD47/hSIRPα interaction. This affinity is outside the normal range for affinities for leucocyte surface protein interactions and raises questions as to what is the optimal affinity of this interaction for engraftment and what other xenogeneic interactions involved in homeostasis may also not be optimal.
Dynamic subgraph connectivity with geometric applications

(MATH) Inspired by dynamic connectivity applications in computational geometry, we consider a problem we call dynamic subgraph connectivity: design a data structure for an undirected graph $G=(V,E)$ and a subset of vertices $S\on V$, to support insertions and deletions in~$S$ and connectivity queries (are two vertices connected\@? ) in the subgraph induced by~$S$. We develop the first sublinear, fully dynamic method for this problem for general sparse graphs, using an elegant combination of several simple ideas. Our method requires linear space, $\OO (|E|^{4\w/(3\w+3)})=O(|E|^{0.94})$ amortized update time, and $\OO(|E|^{1/3})$ query time, where $\w$ is the matrix multiplication exponent and $\OO$ hides polylogarithmic factors.
Architectural Sensitive Application Characterization: The Approach of High-Performance Index-Set (HP-Set)

shared memory multiprocessor architecture, performance evaluation Good simulation tools that provide architectural relevant insights play vital roles in building complex system such as shared-memory multiprocessors. In this report, we discuss HP-Set, a simulation tool that takes the core scheduling component of CIAT and integrates it with a set of statistic gathering probes that generate the corresponding index. HP-Set stands for High Performance index-Set. In a nutshell, HP-Set is a portfolio with its major indexes being the following: general statistics, coherent misses, data reuse and locality, granularity and the IO index.
IL-18 polymorphisms and tuberculosis susceptibility: a meta-analysis

Objective To investigate the association between IL-18 polymorphisms and Tuberculosis(TB). Materials and methods We searched PubMed and Embase databases, and conducted a meta-analysis using 4 models. Data were extracted from the studies by two independent reviewers. Statistical analysis was performed using STATA 12.0 software. Results Five qualified studies with a total of 1293 TB patients and 1724 controls were included. There was no significant association between the IL-18 -607C>A polymorphism and TB risk in the total population(AA vs CC: OR=1.27,95% CI=0.82–1.96;-CA vs CC:OR=1.06,95% CI=0.89–1.26; Dominant model: OR =1.09, 95% CI =0.83–1.43; Recessive model:OR=1.23, 95% CI=0.92–1.65). For IL-18 -137G>C polymorphism, lack of an association was also found(GG vs CC: OR=1.42,95% CI=0.78–2.58;GC vs CC:OR=1.16,95% CI=0.62–2.16; Dominant model: OR =1.34,95% CI=0.74–2.43;Recessive model:OR=0.96,95%-CI=0.26–3.56). Conclusion The present meta-analysis found no evidence for IL-18 -607C>A and -137G>C polymorphisms as risk factors for TB. Further large-scale and well-designed articles are still needed to validate this result.
Bacteria foraging optimization-based extremum seeking control

A bacteria foraging optimization-based extremum seeking control (ESC) scheme is proposed. In the scheme, the system states are guided to the optimal point by the controller based on the online measurement, and the explicit form of the performance function is not needed. By measuring the performance function value online, a sequence, generated by the bacteria foraging optimization algorithm, steers the regulator that drives the system states approaching to the set point that optimizes the performance. We also present an algorithm that first reshuffles the sequence, and then inserts intermediate states into the sequence, to reduce the regulator gain and oscillation induced by stochastic, population-based searching algorithms. Simulation examples demonstrate the effectiveness and robustness of the proposed scheme.
Charging and heating processes of dust particles in an electron cyclotron resonance plasma

Incandescent dust particles are observed with the naked eye in plasmas excited at the electron cyclotron resonance produced in pure acetylene. To investigate the heating mechanisms involved and their potential impact on the dust particle charge, as a first approach, a probe is used to measure the floating potential and to estimate the temperature reached by the material. Both highly depend on the position in the magnetic field and on the plasma conditions (pressure and gas, namely argon or helium). Numerical simulations based on the balance of the currents and of the heat fluxes on the probe emphasize a key role of primary electrons: they are responsible for the very negative floating potential as well as for the high probe temperature. Numerical simulations are also adapted to the case of a dust particle in a non-reactive plasma. However, even it can reach temperatures higher than 1600 K, the dust particle remains negatively charged.
Observations of Attenuation Due to Liquid-bearing Stratocumulus Clouds over Ottawa Using a Ground-Based Profiling Radiometer

—Statistics on the attenuation due to non-precipitating, liquid-bearing overcast stratocumulus (Sc) clouds over Ottawa during the daytime are presented in this paper. Time series of Sc cloud attenuation are extracted from the brightness temperature data and retrievals from a ground-based multifrequency profiling radiometer. Frequencies of interest are 30 and 51.25 GHz; four elevation angles between 15 and 90 degrees (zenith) are considered. Both the MPM '93 and Rosenkranz models are used to assess gaseous absorption using retrieved profiles " topped up " with the closest in time radiosonde data from a local station. Since most of the clouds in the data set contain some supercooled liquid, these extracted cloud attenuation data are compared to predictions from various dielectric constant models for pure liquid water using both the contemporaneously-retrieved liquid water path data and temperature at the cloud base as inputs.