Miracle-dz/UniFAR-FTUs huggingface dataset:
Low cost error monitoring for improved maintainability of IoT applications

Electronic systems with power-constrained embedded devices are used for a variety of IoT applications, such as geomonitoring, parking sensors and surveillance. Such applications may tolerate few errors. However, with the increasing occurrence of faults in-the-field, devices that exhibit systematic erroneous behaviour must be eventually identified and replaced. In this paper, we propose a novel low cost error monitoring technique to assist the maintainability planning of low power IoT applications by ranking devices based on the systematic erroneous behaviour they exhibit. Small on-chip monitors are used to collect the signal probability information at the outputs of each device which is then transmitted to the system software via the communications channel of the system to rank them accordingly. To evaluate the error monitoring capabilities of the proposed technique, we injected multiple bit-flips and stuck-at faults on a set of the EPFL and the ISCAS benchmarks. Results demonstrate an average error coverage of 84.4% and 73.1% of errors induced by bit-flips and stuck-at faults, respectively, with an average area cost of 1.52%. A maintainability planning simulation shows that the proposed technique achieves a reduction of 26x to 263x in area cost and static power, and consumes over 625x less power for communications when compared against duplication and comparison.
The StepOne real-time polymerase chain reaction detection of Salmonella sp., Salmonella enterica ser. typhimurium and enteritidis in milk and meat

The aim of this study was to follow contamination of ready to eat milk and meat products with Salmonella spp. by using the StepOne real-time polymerase chain reaction (PCR). Classical microbiological methods for detection of foodborne bacteria involve the use of pre-enrichment and/or specific enrichment, following isolation of bacteria in solid media and the final confirmation by biochemical and/or serological tests. We used the PrepSEQ Rapid Spin Sample Preparation Kit for isolation of DNA and MicroSEQ® Salmonella spp. Detection Kit for pursuance of the real-time PCR (Applied Biosystems). In samples without incubation we detected strain of Salmonella sp. in 5 out of 25 samples (swabs), as well as in the internal positive control (IPC), which was positive in all samples. This StepOne real-time PCR assay is extremely useful for any laboratory equipped by real-time PCR. It is a fast, reproducible, simple, specific and sensitive way to detect nucleic acids, which could be used in clinical diagnostic tests in the future. Our results indicated that real-time PCR assay developed in this study could sensitively detect Salmonella spp. in ready-to-eat food. This could prevent infection caused by Salmonella, and also could benefit food manufacturing companies by extending their product's shelf-life as well as saving the cost of warehousing their food products while awaiting pathogen testing results.
The Luminescence Properties of ZnO:Al Nanopowders Obtained by Sol-gel, Plasma and Vaporization-Condensation Methods

ZnO nanocrystals were synthesized and characterized by XRD and SEM methods. The luminescence spectra and decay kinetics were studied under pulsed laser excitation (266 nm, 8 ns). ZnO and ZnO:Al powders were prepared by sol-gel and plasma chemical synthesis. These powders were used as a raw material for the SPVD (Solar Physical Vapour Deposition) process. In this way, the vaporisation-condensation phenomenon (VC) led to the formation of ZnO whiskers and nanopowders. The luminescence properties of the VC nanopowders were studied and compared to those displayed by the raw material. The Al dopant, present in the raw powders as a solid solution and ZnAl2O4 precipitates, was only present as Al ions in the nanopowders after the SPVD. The blue luminescence intensity increased considerably after SPVD. The whiskers type microstructures showed nonlinear blue luminescence dependent on the excitation pulse density.
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments

We consider the problem of identifying a good option out of finite set of options under combinatorially structured, noisy feedback about the quality of the options in a sequential process: In each round, a subset of the options, from an available set of subsets, can be selected to receive noisy information about the quality of the options in the chosen subset. The goal is to identify the highest quality option, or a group of options of the highest quality, with a small error probability, while using the smallest number of measurements. The problem generalizes best-arm identification problems. By extending previous work, we design new algorithms that are shown to be able to exploit the combinatorial structure of the problem in a nontrivial fashion, while being unimprovable in special cases. The algorithms call a set multicovering oracle, hence their performance and efficiency is strongly tied to whether the associated set multicovering problem can be efficiently solved.
Hybrid TOA-TDOA Positioning Algorithm in AIS

Positioning algorithm in automatic identification system (AIS) is being investigated in the literature due to the importance in safety and national security services. Nowadays, position information in AIS originates from the navigational sensors in extern system. In this paper, we introduce a novel algorithm for ship positioning using both time and time difference estimates, which lead to enhanced versions of the time of arrivals and time difference of arrivals positioning method. Moreover, the accuracy of the proposed hybrid positioning algorithm is evaluated. Finally the simulation results have shown the validity of this novel positioning algorithm.
Non-linear optical properties of matter : from molecules to condensed phases

Microscopic Theory of Nonlinear Optics. - Accurate Nonlinear Optical Properties for Small Molecules. - Determination of Vibrational Contributions to Linear and Nonlinear Optical Properties. - SOS Methods in Calculations of Electronic NLO Properties. - Kohn-Sham Time-Dependent Density Functional Theory with Applications to Linear and Nonlinear Properties. - Non-Linear Pulse Propagation in Many-Photon Active Isotropic Media. - Collective and Cooperative Phenomena in Molecular Functional Materials. - Multiconfigurational Self-Consistent Field-Molecular Mechanics Response Methods. - Solvatochromism and Nonlinear Optical Properties of Donor-acceptor ? -Conjugated Molecules. - Symmetry Based Approach to the Evaluation of Second Order NLO Properties of Carbon Nanotubes. - Atomistic Molecular Modeling of Electric Field Poling of Nonlinear Optical Polymers. - Nonlinear Optical Properties of Chiral Liquids. - Recent Progress in Molecular Design of Ionic Second-order Nonlinear Optical Materials. - Characterization Techniques of Nonlinear Optical Materials. - Third-Order Nonlinear Optical Response of Metal Nanoparticles. - From Dipolar to Octupolar Phthalocyanine Derivatives: The Example of Subphthalocyanines. - NLO Properties of Metal Alkynyl and Related Complexes. - Ruthenium Complexes as Versatile Chromophores with Large, Switchable Hyperpolarizabilities. - Linear and Nonlinear Optical Properties of Selected Rotaxanes and Catenanes. - Second Harmonic Generation from Gold and Silver Nanoparticles in Liquid Suspensions.
The clustering of galaxies in the sdss-iii baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data release 9 spectroscopic galaxy sample

We present a one per cent measurement of the cosmic distance scale from the detections of the baryon acoustic oscillations in the clustering of galaxies from the Baryon Oscillation Spectroscopic Survey (BOSS), which is part of the Sloan Digital Sky Survey III (SDSS-III). Our results come from the Data Release 11 (DR11) sample, containing nearly one million galaxies and covering approximately $8\,500$ square degrees and the redshift range $0.2<z<0.7$. We also compare these results with those from the publicly released DR9 and DR10 samples. Assuming a concordance $\Lambda$CDM cosmological model, the DR11 sample covers a volume of 13\,Gpc${}^3$ and is the largest region of the Universe ever surveyed at this density. We measure the correlation function and power spectrum, including density-field reconstruction of the baryon acoustic oscillation (BAO) feature. The acoustic features are detected at a significance of over $7\,\sigma$ in both the correlation function and power spectrum. Fitting for the position of the acoustic features measures the distance relative to the sound horizon at the drag epoch, $r_d$, which has a value of $r_{d,{\rm fid}}=149.28\,$Mpc in our fiducial cosmology. We find $D_V=(1264\pm25\,{\rm Mpc})(r_d/r_{d,{\rm fid}})$ at $z=0.32$ and $D_V=(2056\pm20\,{\rm Mpc})(r_d/r_{d,{\rm fid}})$ at $z=0.57$. At 1.0 per cent, this latter measure is the most precise distance constraint ever obtained from a galaxy survey. Separating the clustering along and transverse to the line-of-sight yields measurements at $z=0.57$ of $D_A=(1421\pm20\,{\rm Mpc})(r_d/r_{d,{\rm fid}})$ and $H=(96.8\pm3.4\,{\rm km/s/Mpc})(r_{d,{\rm fid}}/r_d)$. Our measurements of the distance scale are in good agreement with previous BAO measurements and with the predictions from cosmic microwave background data for a spatially flat cold dark matter model with a cosmological constant.
Ciliary neurotrophic factor (CNTF) delivery to retina: an overview of current research advancements

Abstract The intraocular administration of the ciliary neurotrophic factor (CNTF) has been found to attenuate the photoreceptor degeneration and preserve retinal functions in the animal research models of the inherited or induced retinal disease. Studies with the aim of CNTF transfer to the posterior segment inside the eye have been directed to determine the best method for its administration. An ideal delivery method would overcome the eye drug elimination mechanisms or barriers and provide the sustained release of the CNTF into retina in the safest fashion with the minimum harm to the quality of life. This review focuses on the present state of CNTF delivery to retina, also provides an overview of available technologies and their challenges.
Representing higher-order dependencies in networks

A general method to discover and embed variable orders of dependencies in a network representation. To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representing sequential data from complex systems, such as global shipping traffic or Web clickstream traffic as networks, conventional network representations that implicitly assume the Markov property (first-order dependency) can quickly become limiting. This assumption holds that, when movements are simulated on the network, the next movement depends only on the current node, discounting the fact that the movement may depend on several previous steps. However, we show that data derived from many complex systems can show up to fifth-order dependencies. In these cases, the oversimplifying assumption of the first-order network representation can lead to inaccurate network analysis results. To address this problem, we propose the higher-order network (HON) representation that can discover and embed variable orders of dependencies in a network representation. Through a comprehensive empirical evaluation and analysis, we establish several desirable characteristics of HON, including accuracy, scalability, and direct compatibility with the existing suite of network analysis methods. We illustrate how HON can be applied to a broad variety of tasks, such as random walking, clustering, and ranking, and we demonstrate that, by using it as input, HON yields more accurate results without any modification to these tasks.
Approximate Triangle Counting

Triangle counting is an important problem in graph mining. Clustering coefficients of vertices and the transitivity ratio of the graph are two metrics often used in complex network analysis. Furthermore, triangles have been used successfully in several real-world applications. However, exact triangle counting is an expensive computation. In this paper we present the analysis of a practical sampling algorithm for counting triangles in graphs. Our analysis yields optimal values for the sampling rate, thus resulting in tremendous speedups ranging from \emph{2800}x to \emph{70000}x when applied to real-world networks. At the same time the accuracy of the estimation is excellent. Our contributions include experimentation on graphs with several millions of nodes and edges, where we show how practical our proposed method is. Finally, our algorithm's implementation is a part of the \pegasus library (Code and datasets are available at (this http URL). ) a Peta-Graph Mining library implemented in Hadoop, the open source version of Mapreduce.
A Two-Factor Model Better Explains Heterogeneity in Negative Symptoms: Evidence from the Positive and Negative Syndrome Scale

Acknowledging separable factors underlying negative symptoms may lead to better understanding and treatment of negative symptoms in individuals with schizophrenia. The current study aimed to test whether the negative symptoms factor (NSF) of the Positive and Negative Syndrome Scale (PANSS) would be better represented by expressive and experiential deficit factors, rather than by a single factor model, using confirmatory factor analysis (CFA). Two hundred and twenty individuals with schizophrenia spectrum disorders completed the PANSS; subsamples additionally completed the Brief Negative Symptom Scale (BNSS) and the Motivation and Pleasure Scale—Self-Report (MAP-SR). CFA results indicated that the two-factor model fit the data better than the one-factor model; however, latent variables were closely correlated. The two-factor model’s fit was significantly improved by accounting for correlated residuals between N2 (emotional withdrawal) and N6 (lack of spontaneity and flow of conversation), and between N4 (passive social withdrawal) and G16 (active social avoidance), possibly reflecting common method variance. The two NSF factors exhibited differential patterns of correlation with subdomains of the BNSS and MAP-SR. These results suggest that the PANSS NSF would be better represented by a two-factor model than by a single-factor one, and support the two-factor model’s adequate criterion-related validity. Common method variance among several items may be a potential source of measurement error under a two-factor model of the PANSS NSF.
Rural–urban differences in accessing mental health treatment in patients with psychosis

Background: Delay in accessing psychiatric treatment has considerable influence on the outcome of psychoses. Systematic studies examining the source of the delay are lacking in India. In this article, we examine rural–urban differences regarding delay in accessing psychiatric care in patients with psychosis, an issue which was hitherto not studied. Aims: To evaluate the rural–urban differences in treatment seeking among patients with psychosis. Methods: Patients with psychotic disorders who presented to the outpatient department of an academic psychiatric institute for the first time (n = 551) were interviewed using a semi-structured interview tool to assess the date of onset of illness. Results: Families in urban areas had significantly higher level of education and greater income than their rural counterparts. However, there was no difference in urban and rural patients in the duration of untreated illness (DUI). There was no correlation between average years of education of the family members and DUI (spearman’s rho = −0.01; p = .77). Conclusions: Despite the proximity to psychiatric centers, better education and greater income, patients in urban areas do not access psychiatric care earlier than patients in rural areas. So, mere presence of services would not make patients access them early.
Creative Destruction and Asset Prices

We relate Schumpeter’s notion of creative destruction to asset pricing, thereby offering a novel explanation of size and value premia. We argue that small-value firms must offer higher expected returns to compensate for the risk posed by serendipitous invention activity, whereas large-growth stocks provide protection against creative destruction and receive expected return discounts. A 2-factor model that accounts for creative-destruction risk effectively explains the cross-sectional return variation of size- and book-to-market-sorted portfolios. The estimated risk compensations associated with creative destruction are substantial and statistically significant, indicating their relevance for asset pricing.
The Service-Bond Paradigm - Potentials for a Sustainable, ICT-enabled Future

The service paradigm as we know it has gone through a long journey of evolution and improvement, and it seems that a service-oriented vision to activities in general could serve as a potential platform for the global transition to a sustainable future. However, it is also apparent that the services themselves are required to move beyond their traditional definition in order to prevent any secondary side effect. Here, a new paradigm is proposed based on bonding between entities involved in a service interaction, service chaining, or service orchestration. It is purposed to serve as a vehicle to approach sustainability at the global level in a manner that is thoughtful, collaborative, and incremental. Time-modulated implementation of the proposed service-bond paradigm is considered in order to reduce the associated risks and liabilities. The service bonds are then simply generalized toward representing bonding among more than two entities. Finally, a practical application of ICT agents in enabling the service bonds is presented in a use case related to smart houses. In this use case, some ICT-based agents (federal regulars, among other ICT agents) are considered to represent and govern services and service bonds of a household with external entities such as utilities.
Effect of postweld heat treatment on development of interfacial structures in nickel-based transition joints

AbstractThe interfacial structures between 2·25Cr–1Mo steel and Inconel 182 weld metal have been studied after post-weld heat treatments (PWHTs) at 700°C and subsequent aging at 630°C. This aging temperature accelerates the changes in interfacial structure that occur during power-station operation, and thus provides a method of studying the effects of the initial PWHT. The paper shows that during PWHT for ≤8 h at 700°C, arrays of carbide particles develop in the ferritic steel, parallel and very close to the weld metal interface, and that these arrays continue to grow during aging at 630°C for 6000 h. However, the precipitate sizes after PWHT are small compared with those developed during the subsequent aging. For longer heat treatments, up to 100 h at 700°C, the I interfacial precipitates develop to significant sizes, but growth then ceases because of the limited carbon migration from the 2·25Cr–1Mo steel. Aging at 630°C then causes carbon redistribution in the heat-affected zone, resulting in an incubat.
Experimental Study of Droplet Motion and Thermocapillary Heat Transfer in a Closed Microchannel

permission. Abstract This paper presents an experimental study of thermocapillary pumping of a droplet in closed circular microchannels with cyclic heating. Theoretical predictions and experimental data are presented for transient temperature changes during the droplet acceleration in a circular microchannel. The spatial temperature change in the axial direction is measured for microchannels of 16  m diameter. The displacement of the droplet with respect to time is also predicted and measured. Close agreement is achieved between the theoretical and
Reliability and validity of the Strengths and Difficulties Questionnaire in Greek adolescents and their parents

The Strengths and Difficulties Questionnaire (SDQ) is a brief screening measure of emotional and behavioural difficulties in children and adolescents. The aim of this study was to assess reliability and validity of the Greek version of the SDQ. A representative Greek sample of 1194 adolescents (aged 11 to 17 years) and their parents completed the SDQ along with other measures. Internal consistency reliability was determined by calculation of the Cronbach α coefficient. Varimax Orthogonal Transformation was conducted to test the factor structure of the questionnaire. Validity was further examined by investigating the correlation of the SDQ with the KIDSCREEN questionnaire and its association with demographic factors. The inter-rater agreement between parent and self-reports was analyzed with Pearson’s correlation coefficient. Intra-class correlation coefficients (ICCs) were computed to determine test-retest stability. For both parent and the self-report SDQ versions, most items loaded onto their predicted factors in consistency with the originally proposed five-factor structure. Internal consistency reliability was acceptable with a Cronbach α above 0.70 for all SDQ scales except for conduct and peer problems. Inter-rater correlations ranged from 0.33 to 0.45. Test-retest stability was good (ICCs > 0.60). Correlation coefficients between the SDQ and KIDSCREEN questionnaire were significant. Small effect sizes (d > 0.5) of the socioeconomic status were found for all of the SDQ scale mean scores. In conclusion, the SDQ was found to have satisfying psychometric properties and could be suitable for assessing emotional and behavioural problems in Greek adolescents.
Delay discounting without decision-making: medial prefrontal cortex and amygdala activations reflect immediacy processing and correlate with impulsivity and anxious-depressive traits

Humans value rewards less when these are delivered in the future as opposed to immediately, a phenomenon referred to as delay discounting. While delay discounting has been studied during the anticipation of rewards and in the context of intertemporal decision-making, little is known about its neural correlates in the outcome phase (during reward delivery) and their relation to personality. Personality traits that have been associated with increased delay discounting include impulsivity and, potentially, anxious-depressive traits. Here we performed functional magnetic resonance imaging (fMRI) in 72 healthy participants while they carried out a monetary incentive delay (MID) task with a delay manipulation. In sixty percent of the experimental trials, participants won rewards that differed in magnitude (0.05€, 0.50€ or 1€) and delay until delivery (immediately, 10 days, or 100 days). A factor analysis on questionnaires yielded two factors reflecting Impulsivity and Anxiety/Depression, which we used to examine potential relationships between personality and delay discounting. When winning a reward, medial prefrontal cortex (mPFC) activation was higher for immediate compared to delayed rewards. Moreover, amygdala activation correlated with reward magnitude for immediate but not for delayed rewards. Amygdala activation to winning immediate rewards was higher in more impulsive participants, while mPFC activation to winning immediate rewards was higher in more anxious-depressed participants. Our results uncover neural correlates of delay discounting during reward delivery, and suggest that impulsivity and subclinical anxious-depressive traits are related to stronger neural responses for winning immediate relative to delayed rewards.