Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Communication Technologies for the Low Voltage Distribution Segment in a Smart Grid

This paper presents a survey of technologies for data transmission in an electricity distribution network between the controllers at the electrical secondary substations and the home equipment. The selected technologies can be used for implementation of advanced monitoring and control functionalities in the Low Voltage (LV) network of the electricity distribution system within the smart grid paradigm. Keywords—Smart Grid, PLC, RF Mesh,Wireless.
Computational analysis of whole body CT documents a bone structure alteration in adult advanced chronic lymphocytic leukemia

Advances in Knowledge: 1. Advanced chronic lymphocytic leukemia (ACLL) causes structural skeletal alterations, quantifiable by computational analysis of CT images, characterized by a mean 8% increase of trabecular bone prevalence (22% in the appendicular skeleton) with concomitant compact bone loss. 2. In ACLL, degree of bone erosion seems to predict a significantly lower two-year survival (18%) when compared to the one of the remaining patients (82%). 3. Radiological risk stratification has shown a better performance with respect to biological markers both at univariate (p=0.005 vs 0.073) and multivariate (p=0.027 vs 0.092) analysis.
Personality Development in the Course of Professional Activity

The actuality of the work is presupposed by the fact that psychological research of interconnection between a person and a profession is of great demand now. It has become an important field of study due to several reasons. First of all it is necessary to have a clear vision of psychological rules of the subject of the activity when he is developing. It is important to specify the role of individual and psychological peculiarities of the person involved in this process. The field of study also concerns the problem of adaptation of the person to the professional activity. The article is aimed at the generalizing of results conducted during long term research of the personality in the process of professional activity with the target of revealing development prospects. The main method used was psychognosis of psychodiagnostics of individual psychological peculiarities of the personality. On the basis of professiographic research and results of psychodiagnostics we conclude in the article that psychological peculiarities of the personality are different either in the level of intensity or structure at the different levels of professional activity. If we look at the professional development from two angles—as the development and as the destruction at the same time then diagnostics and evaluation of the individual psychological peculiarities of the personality at different stages of professional activity could be corrected to avoid destruction. The article could be useful for practitioners psychologists, those who work in the HR sphere.
Shiny Happy People: A study of the effects income relative to a reference group exerts on life satisfaction

This study aims to causally evaluate the following hypotheses: i) that income, when evaluated relatively to a reference, is a significant determinant of life satisfaction; and ii) whether this effect changes in strength or direction depending on the reference group used for comparison and (or) the starting wealth levels. Aided by a fixed effects regression analysis on a large panel data sample from Peru and an income-framed life satisfaction question fundamental for a causal identification strategy, this investigation finds significant results for both. The findings suggest the importance of relative comparisons for regulatory and redistributional purposes, as well for other non income-related topics. 1 I would like to thank Roberto Asmat for his invaluable help. Page 3 of 47 DV 41
Vorinostat Combined with DNA Methyltransferase Inhibitors Epigenetically Controls the Proliferation of Lung Cancer Cells A549

Cancer is being considered one of the fatal diseases in the global population. Lung cancer is one of the most common malignancies in males and in several countries also in females. In the present study, we aimed at evaluating the role of different chemotherapeutic drugs belonging to three groups [Histone Deacetylase Inhibitors (HDACi), DNA Methyltransferase Inhibitors (DNMTi), and Alkylating Agents)]. Vorinostat, Carboplatin, Cyclophosphamide, Temozolomide, and Procaine were applied to A549 lung cancer cells in final concentrations of 3μM and 5μM. Drugs were incubated with the cells for 96 h. Cell viability was measured using Trypan blue exclusion test, and the obtained results showed a significant decrease in the cells' viability after being treated. Global methylation, as an essential epigenetic mark, was quantified in the control and treated cells. The results showed a variation in the methylation patterns, since different combination yielded different methylation profiles. Vorinostat combined with Carboplatin hypomethylated the cells under study, while Vorinostat combined with Cyclophosphamide resulted in hypermethylation of the cells. We concluded that reactivating the hypermethylated genes in the A549 lung cancer cells by combining more than one drug was significantly better than that induced by only one chemotherapeutic agent. However, these results need more confirmatory experiments.
New Development in Aflatoxin Research: From Aquafeed to Marine Cells

Available data on the real impact of aflatoxins on farm aquatic species are very limited. Since long time, aflatoxin B1 (AFB1) has been considered the most potent food-born hepatotoxicant, frequently found in animal feedstuff. At present, it has been reported as responsible agent in unforeseen outbreaks of fish mortality due to acute or chronic aflatoxicosis, mainly well documented in freshwater species. The lack of information on the incidence of aflatoxicosis in marine reared teleosts may be partially due to the difficulty in accurately diagnosing the disease in fish, as well as to the lack of specie-specific in vitro models for toxicity studies. In this work: 1) we have verified that pelletted fish feed might be considered as sources of AFB1 contamination in aquaculture due to the isolation and identification of blue eye fungi (Aspergillus spp., Penicillium spp.) in feed samples, as well as other several genera (Fusarium, Cladosporium, Alternaria, Geotrichum, Mucor, Rizophus, Acremonium); 2) we have performed an in vitro evaluation of AFB1 potential cytotoxic on Sparus aurata hepatocyte primary cultures (SaHePs), using a multiple endpoint screening. Our results demonstrate that seabream hepatocytes are highly sensitive to AFB1 exposure and especially indicate three distinct pathways of cytotoxic response: necrotic cell death, apoptotic cell death and uncontrolled cell proliferation; 3) we have compared the dose response curves obtained by measuring the bioluminescence of Vibrio fischeri upon AFB1 exposure to those obtained from in vitro cell culture system. Results show equivalent and overlapping toxic responses with those from seabream hepatocytes.
Lectures on holographic superfluidity and superconductivity

Four lectures on holography and the AdS/CFT correspondence applied to condensed matter systemsThese lectures were given at the Spring School on Superstring Theory and Related Topics (ICTP, Miramare, Trieste, Italy, 23–31 March, 2009). The first lecture introduces the concept of a quantum phase transition. The second lecture discusses linear response theory and Ward identities. The third lecture presents transport coefficients derived from AdS/CFT that should be applicable in the quantum critical region associated with a quantum phase transition. The fourth lecture builds in the physics of a superconducting or superfluid phase transition to the simple holographic model of the third lecture.
Relationship between Cleavage Rate and Porcine Semen Fertility

The aim of the present investigation was to establish the value of the rate of cleaved zygotes (RCZ) as an in vitro reference test to evaluate the fertilizing capacity in commercial semen samples for those cases in which it is impossible to perform a field fertility evaluation with an enough number of sows under strictly controlled conditions. Fifteen boars were ejaculated every 7 days in three consecutive times, and the sperm-rich fraction was diluted and cooled to 17 °C to perform seminal analysis. Friedman test and Spearman correlation were performed. Boars were grouped according to two groups of RCZ (<23 % and >23 %) and Kruskal-Wallis test was performed to detect differences between groups. All boars averaging <23% of RCZ had low seminal quality and all boars with an average above this value had high seminal quality. There was no significative difference in RCZ within boars. Progressive motility (PM), total motility (TM) and normal morphology (NM) were different between two RCZ groups. A high and significative correlation of RCZ with PM and NM was observed. The results found in this research allow to establish the RCZ (threshold of 23%) as an in vitro reference test because its consistence and repeatability to evaluate fertilizing capacity in commercial semen samples.
Respiratory Rate Estimation Based on Spectrum Decomposition

We propose an electrocardiogram (ECG) signal-based algorithm to estimate the respiratory 1 rate is a significant informative indicator of physiological state of a patient. The consecutive 2 ECG signals reflect the information about the respiration because inhalation and exhalation make 3 transthoracic impedance vary. The proposed algorithm extracts the respiration-related signal by 4 finding out the commonality between the frequency and amplitude features in the ECG pulse train. 5 The respiration rate can be calculated from the principle components after the procedure of the 6 singular spectrum analysis. We achieved 1.7569 breaths per min of root-mean-squared error and 7 1.7517 of standard deviation with a 32-seconds signal window of the Capnobase dataset, which 8 gives notable improvement compared with the conventional Autoregressive model based estimation 9 methods. 10
Compositional Analysis of the WATERS Industrial Challenge 2017

With the introduction of multicore processors for real-time embedded systems, the influences of the memory subsystem got in focus for timing analysis. Therefore, the 2017th FMTV challenge extends the previous one with additional information on the memory subsystem. We show how Compositional Performance Analysis (CPA), as introduced in [1] and [2], can be used to compute worst-case timing guarantees for a given processor system with focus on implicit communication or LET. Further we discuss the different implementation options that are not clarified by the given Amalthea model and their influences on our analysis. Particularly, we utilize the nonpreemptive FIFO behavior of the memory arbitration to limit the amount of possible interference.
The Hunt for Red Quasars: Luminous Obscured Black Hole Growth Unveiled in the Stripe 82 X-Ray Survey

We present results of a ground-based near-infrared campaign with Palomar TripleSpec, Keck NIRSPEC, and Gemini GNIRS to target two samples of reddened active galactic nucleus (AGN) candidates from the 31 deg2 Stripe 82 X-ray survey. One sample, which is ∼89% complete to (Vega), consists of eight confirmed AGNs, four of which were identified with our follow-up program, and is selected to have red R − K colors ( , Vega). The fainter sample ( , Vega) represents a pilot program to follow-up four sources from a parent sample of 34 that are not detected in the single-epoch SDSS catalog and have WISE quasar colors. All 12 sources are broad-line AGNs (at least one permitted emission line has an FWHM exceeding 1300 km s−1) and span a redshift range . Half the (R − K)-selected AGNs have features in their spectra suggestive of outflows. When comparing these sources to a matched sample of blue Type 1 AGNs, we find that the reddened AGNs are more distant ( ), and a greater percentage have high X-ray luminosities ( erg s−1). Such outflows and high luminosities may be consistent with the paradigm that reddened broad-line AGNs represent a transitory phase in AGN evolution as described by the major merger model for black hole growth. Results from our pilot program demonstrate proof of concept that our selection technique is successful in discovering reddened quasars at missed by optical surveys.
Real Time Traffic Sign Detection Recognition using Adaptive Neuro Fuzzy Inference System

Traffic Sign Recognition (TSR) framework is a significant part of Intelligent Transport System (ITS) as traffic signs help the drivers to drive all the more securely and proficiently. This paper speaks to another approach for TSR framework where location of traffic sign is done utilizing fuzzy rules based shading division strategy and recognition is refined utilizing Speeded Up Robust Features (SURF) descriptor, prepared by artificial neural network (ANN) classifier. In the identification step, the locale of intrigue (sign region) is divided utilizing an arrangement of fuzzy rules relying upon the tint and immersion estimations of every pixel in the HSV shading space, present prepared on channel undesirable area. At long last the recognition of the traffic sign is executed utilizing ANN classifier upon the preparation of SURF features descriptor. The proposed framework mimicked on disconnected street scene pictures caught under various brightening conditions. The discovery calculation demonstrates a high robustness and the recognition rate is very palatable. The execution of the ANN display is delineated as far as cross entropy, confusion matrix and receiver operating characteristic (ROC) curves. Likewise, exhibitions of some classifier, for example, Support Vector Machine (SVM), Decision Trees, Ensembles Learners (Adaboost) and K Nearest Neighbor (KNN) classifier are surveyed with ANN approach. The recreation comes about represent that recognition utilizing ANN demonstrate is higher than classifiers expressed previously.
Detecting shipping fraud in global supply chains using probabilistic trajectory classification

The globalization of trade puts significant pressure on effective customs compliance and supply chain intelligence by freight forwarders. Containerization and the asymmetric information provisioning of cargo negatively impact the ability to track goods in transit. Freight forwarders seek ways to improve their intelligence by applying data mining techniques to detect potential fraudulent declarations. This paper proposes a research project on the use of trajectory classification to analyze how goods are being transported between the consignor and consignee. The trajectory of cargo is expected to reflect patterns of fraud that are mainly ignored by modern fraud detection systems. Expected outcomes of the project are twofold. A framework will be built for freight forwarders to set up classifiers for the purpose of predicting fraudulent shipment trajectories. These classifiers are expected to improve the effectiveness by which customs compliance is enforced. In addition, supply chain data has the characteristics of big data and is therefore difficult to analyze. The framework is expected to contribute a new application of trajectory classification to the data mining literature and show how cargo trajectories can be efficiently classified.
A Thin Slice of Science Communication: Are People’s Evaluations of TED Talks Predicted by Superficial Impressions of the Speakers?

First impressions based on physical characteristics and superficial information predict a wide variety of social judgments and outcomes. We build on recent work examining the effects of such impressions on the communication of scientific research and ideas to the general public. A large diverse sample viewed and evaluated scientific TED talks, while a separate group viewed short, silent excerpts of each video and judged the speakers on three core sociocognitive traits: competence, morality, and sociability. Neither the perceived scientific quality nor the entertainment value of the talks was meaningfully predicted by the thin-slice judgments; likewise, they were independent of the speakers’ age, gender, ethnicity, and attractiveness. We propose that these null results arise because the influence of superficial visual cues was overwhelmed by the wealth of more diagnostic information and by our participants’ attentiveness to this information. Our results suggest limits to the predictive power of superficial impressions.
Design and Implementation of Vehicle Tracking System Based on Depth Learning

Vehicle tracking is one of the most challenging tasks in the field of visual tracking. A vehicle tracking algorithm based on CNN is constructed to solve the problem of rapid movement, scale change and occlusion of vehicles in outdoor environment. The CNN is used to extract feature sets containing positive and negative samples. The output of the CNN is used as the input of the Logistics classifier to obtain the vehicle classifier, and the particle filter is used to track the target online. The experimental results show that the depth characteristics of CNN extraction can effectively distinguish between the target and the background, and combined with particle filtering algorithm for online tracking, it has high tracking accuracy and strong robustness. Compared with the existing tracking algorithms, the vehicle can be better tracked when faced with changes in lighting, vehicle occlusion, and scale changes.
Nanobioprobe for the determination of pork adulteration in burger formulations

We report the development of a swine-specific hybrid nanobioprobe through a covalent integration of a fluorophore-labeled 27- nucleotide AluI-fragment of swine cytochrome b gene to a 3 nm gold nanoparticle for the determination of pork adulteration in processed meat products. We tested the probe to estimate adulterated pork in ready-to-eat pork-spiked beef burgers. The probe quantitatively detected 1-100% spiked pork in burger formulations with ≥90% accuracy. A plot of observed fluorescence against the known concentration of AluI-digested pork DNA targets generated a concave curve, demonstrating a power relationship (y = 2.956x0.509) with a regression coefficient (R2) of 0.986. No cross-species detection was found in a standard set of pork, beef, chicken, mutton, and chevon burgers. The method is suitable for the determination of very short-length nucleic acid targets which cannot be estimated by conventional and real-time PCR but are essential for the determination of microRNA in biodiagnostics and degraded DNA in forensic testing and food analysis.
A comparative Study of the Abrasive Effects of Different Toothpastes on Enamel 1

Objective: Tooth-brushing with toothpaste is the most common and also the most important method for maintaining oral hygiene. However, it may be associated with a side effect, namely tooth abrasion. Considering the wide variety of toothpastes available in the Iranian market and lack of comprehensive studies about their characteristics in our country, the present study was conducted to evaluate and compare two Iranian made whitening and anti-sensitivity toothpastes with two similar foreign-made products. Methods: In this in-vitro experimental study, enamel samples were prepared and embedded in acrylic blocks. Initial surface profile of samples was measured by a profilometer. Samples were then subjected to a wear test in V8 cross brushing machine by the forward and backward strokes of toothbrushes in the machine in presence of a toothpaste solution. After washing and drying of samples, their secondary surface profile was measured by a profilometer. The difference between the obtained values before and after the abrasion was indicative of the abrasiveness of toothpastes in micron. Obtained data were entered SPSS software and analyzed using one-way ANOVA and Repeated Measures ANOVA. Results: The abrasiveness of four understudy toothpastes was significantly different from one another (P=0.039). However, pair-wise comparison of toothpastes did not reveal a significant difference between Pooneh Whitening toothpaste and Crest 3D White or between Pooneh Antisensitivity toothpaste and Sensodyne (P>0.05). The only significant difference detected was between the two Iranian made toothpastes (P=0.005). Conclusion: Based on the present study findings, no statistically significant difference exists between the abrasiveness of Iranian and foreign made toothpastes. However, similar studies are required in our country on the effects of toothpastes especially those simulating a clinical setting with the use of other measuring devices.
A Cooperative Approach to Loop Invariant Discovery for Pointer Programs

We prose a cooperative approach to reasoning about the correctness of pointer programs within the context of separation logic. A key hurdle to scalable program proof is the burden imposed by the need for loop invariants. Our proposed approach involves an integration of two complementary techniques. Firstly, a technique developed at CMU for discovering invariants based upon symbolic evaluation. Secondly, middleout proof planning, a technique which has had significant success is automating the discovery of inductive lemmas and invariants. We believe that the complementary nature of these techniques will deliver significant advantages in terms of scalable pointer program proof.
Silicon-nitride waveguides for on-chip Raman spectroscopy

The evanescent tail of the guided modes can efficiently excite Raman active molecules located in the cladding of a waveguide. Similarly, a significant fraction of the total emitted Stokes power is evanescently coupled to the same mode. Further, the enhancement effects inherent to the waveguide, alongside with the long interaction length, lead to an increased light-matter interaction, resulting in a higher sensitivity as required by spectroscopic applications, especially in the context of Raman spectroscopy. We calculate the spontaneous Raman scattering efficiency as a function of silicon-nitride strip waveguide dimensions and show that under typical conditions, the overall efficiency is approximately two orders of magnitude higher than in confocal configuration in the free space. We also report the experimental demonstration of the use of silicon-nitride based photonic waveguides in a lab-on-a-chip context for Raman spectroscopy. To the best of our knowledge, this is the first demonstration of Raman spectroscopy using photonic waveguides.