Miracle-dz/UniFAR-FTUs huggingface dataset:
Equivalent Circuit Models for Propagation Analysis of In-Building Power line Communications Systems

─ In-building power line transmission measurements show potential for low attenuation propagation above 30 MHz. These measurements show that frequency bands can exist having low or minimum attenuation above 100 MHz. A simple high-frequency propagation model for analysis of in-building communications up to 900 MHz, which can be implemented using a commercial circuit simulator, is described. This physics-based model is extracted using broadband data from both timeand frequency-domain network transmission (S21) measurements. The novelty of this modeling approach is that different propagation modes such as electromagnetic coupling, waveguide propagation through the wiring conduit, and fading are included. An RF circuit model in a simulator environment is useful for analyzing a wide range of communication problems at the circuit, subsystem, and system levels. Index Terms Frequency response, modeling, power line communications, propagation, transmission line, and waveguide.
Effects of Three Calcium Silicate Cements on Inflammatory Response and Mineralization-Inducing Potentials in a Dog Pulpotomy Model

This beagle pulpotomy study compared the inflammatory response and mineralization-inducing potential of three calcium silicate cements: ProRoot mineral trioxide aggregate (MTA) (Dentsply, Tulsa, OK, USA), OrthoMTA (BioMTA, Seoul, Korea), and Endocem MTA (Maruchi, Wonju, Korea). Exposed pulp tissues were capped with ProRoot MTA, OrthoMTA, or Endocem MTA. After 8 weeks, we extracted the teeth, then performed hematoxylin-eosin and immunohistochemical staining with osteocalcin and dentin sialoprotein. Histological evaluation comprised a scoring system with eight broad categories and analysis of calcific barrier areas. We evaluated 44 teeth capped with ProRoot MTA (n = 15), OrthoMTA (n = 18), or Endocem MTA (n = 11). Most ProRoot MTA specimens formed continuous calcific barriers; these pulps contained inflammation-free palisading patterns in the odontoblastic layer. Areas of the newly formed calcific barrier were greater with ProRoot MTA than with Endocem MTA (p = 0.006). Although dentin sialoprotein was highly expressed in all three groups, the osteocalcin expression was reduced in the OrthoMTA and Endocem MTA groups. ProRoot MTA was superior to OrthoMTA and Endocem MTA in all histological analyses. ProRoot MTA and OrthoMTA resulted in reduced pulpal inflammation and more complete calcific barrier formation, whereas Endocem MTA caused a lower level of calcific barrier continuity with tunnel defects.
Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset

Data mining techniques play an increasing role in the intrusion detection by analyzing network data and classifying it as 'normal' or 'intrusion'. In recent years, several data mining techniques such as supervised, semi-supervised and unsupervised learning are widely used to enhance the intrusion detection. This work proposes a hybrid intrusion detection (kM-RF) which outperforms in overall, according to our experimentation, the alternative methods through the accuracy, detection rate and false alarm rate. A benchmark intrusion detection dataset (ISCX) is used to evaluate the efficiency of the kM-RF, and a deep analysis is conducted to study the impact of the importance of each feature defined in the pre-processing step.
Kir2.1 & Nav1.5 in Sickness and in Health: Who Needs a Chaperone When They Have an Alpha Partner?

The ventricular action potential is sculpted by the orchestrated activity of multiple depolarizing and repolarizing ion currents, exchangers, and pumps. Owing to the time and voltage dependency of these ion transport mechanisms, even a subtle change in one will influence the activity of the others. This, in turn, will profoundly impact the electrophysiological properties of the myocyte and the heart as a whole. Indeed, altered ion channel activity in response to pharmacological agents, acquired diseases, or congenital disorders is a major cause of malignant ventricular arrhythmias leading to sudden cardiac death.1 Article, see p 1501 Chief among the many cardiac ion currents that generate the action potential are the inward rectifier K current ( I K1) and the voltage-gated fast inward Na current ( I Na), along with their pore-forming α subunits, Kir2.1 and Nav1.5. 2 The relative importance of these 2 channels is underscored by the tight control that they exert on myocyte excitability. Whereas I K1 establishes the resting membrane potential, I Na is responsible for generating the action potential upstroke (or phase 0). Because the driving force for I Na is fueled by the difference in voltage between the resting membrane potential and the reversal potential for Na, I K1 exerts primary control over myocyte excitability and secondary control over action potential formation and propagation. The relevance of the functional interplay between I K1 and I Na extends beyond the regulation of normal excitability because it plays a particularly important role in pathophysiological situations, such as hyperkalemia and ischemia. In both settings, membrane depolarization reduces I Na and promotes its partial inactivation. In addition to the indirect …
Association between Serum 25-Hydroxy Vitamin D Levels and the Prevalence of Adult-Onset Asthma

The major circulating metabolite of vitamin D (25(OH)D) has been implicated in the pathogenesis for atopic dermatitis, asthma and other allergic diseases due to downstream immunomodulatory effects. However, a consistent association between 25(OH)D and asthma during adulthood has yet to be found in observational studies. We aimed to test the association between 25(OH)D and asthma during adulthood and hypothesised that this association would be stronger in non-atopic participants. Using information collected on the participants of the 1958 birth cohort, we developed a novel measure of atopic status using total and specific IgE values and reported history of eczema and allergic rhinitis. We designed a nested case-control analysis, stratified by atopic status, and using logistic regression models investigated the association between 25(OH)D measured at age 46 years with the prevalence of asthma and wheezy bronchitis at age 50 years, excluding participants who reported ever having asthma or wheezy bronchitis before the age of 42. In the fully adjusted models, a 10 nmol/L increase in serum 25(OH)D prevalence had a significant association with asthma (aOR 0.94; 95% CI 0.88–1.00). There was some evidence of an atopic dependent trend in the association between 25(OH)D levels and asthma. Further analytical work on the operationalisation of atopy status would prove useful to uncover whether there is a role for 25(OH)D and other risk factors for asthma.
Modelo para dispersão de poluentes na atmosfera com condições de contorno parcialmente reflexivas

A equacao de adveccao-difusao modela o fenomeno de dispersao de poluentes na camada limite atmosferica. Tal equacao com fechamento Fickiano para turbulencia e coeficientes de difusao Kx, Ky e Kz constantes [. ]
Sentiments Analysis in GitHub Repositories: An Empirical Study

There have been more than 12 million open source software in GitHub so far, but the existing studies about sentiments analysis in open source software are not sufcient for the sentiments analysis in GitHub. This paper proposes an approach to analyze the correlation of comment sentiments and bug fixing speed. It's proved the existence of certain factors among some relevance after experiments. The experimental results also give some suggestions on GitHub open source software development process.
Exploring the autoinhibitory domain of the electrogenic Na+/HCO3− transporter NBCe1‐B, from residues 28 to 62

Slc4a4 (mouse) encodes at least five variants of the electrogenic sodium/bicarbonate transporter NBCe1. The initial 41 cytosolic amino acids of NBCe1‐A and ‐D are unique; NBCe1‐A has high activity. The initial 85 amino acids of NBCe1‐B, ‐C and ‐E are unique; NBCe1‐B and ‐C have low activity. Previous work showed that deleting residues 1–85 or 40–62 of NBCe1‐B, or 1–87 of NBCe1‐C, eliminates autoinhibition. These regions also include binding determinants for IRBIT (inositol trisphosphate (IP3)‐receptor binding protein released with IP3), which relieves autoinhibition. Here, systematically replacing/deleting residues 28–62, we find that only the nine amino acid cationic cluster (residues 40–48) of NBCe1‐B is essential for autoinhibition. IRBIT stimulates all but one low‐activity construct. We suggest that electrostatic interactions – which IRBIT presumably interrupts – between the cationic cluster and the membrane or other domains of NBCe1 play a central role in tempering the activity of NBCe1‐B in the pancreas, brain and other organs.
A Melody-Conditioned Lyrics Language Model

This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody. Previously proposed models for lyrics generation suffer from the inability of capturing the relationship between lyrics and melody partly due to the unavailability of lyrics-melody aligned data. In this study, we first propose a new practical method for creating a large collection of lyrics-melody aligned data and then create a collection of 1,000 lyrics-melody pairs augmented with precise syllable-note alignments and word/sentence/paragraph boundaries. We then provide a quantitative analysis of the correlation between word/sentence/paragraph boundaries in lyrics and melodies. We then propose an RNN-based lyrics language model conditioned on a featurized melody. Experimental results show that the proposed model generates fluent lyrics while maintaining the compatibility between boundaries of lyrics and melody structures.
Dialogue Act Classification Model Based on Deep Neural Networks for a Natural Language Interface to Databases in Korean

Dialogue act classification is an essential task for implementing a natural language interface to databases because speakers' intentions can be represented by dialogue acts (domain-independent speech act and domain-dependent predicator pairs). To resolve ambiguities in dialogue act classification, various machine learning models have been proposed over past 20 years. In this paper, we propose a dialogue act classification model using a convolutional neural network and a long short-term memory network. The proposed model generalizes an input utterance into an embedding vector by using the convolutional neural network. Then, it annotates utterance sequences with dialogue act labels by using contextual information based on the long short-term memory network. In the experiments with a Korean goal-oriented dialogue corpus, the proposed model showed better performances than the previous models.
Detection and prevention of Black Hole Attacks in IOT & WSN

Wireless Sensor Network is the combination of small devices called sensor nodes, gateways and software. These nodes use wireless medium for transmission and are capable to sense and transmit the data to other nodes. Generally, WSN composed of two types of nodes i.e. generic nodes and gateway nodes. Generic nodes having the ability to sense while gateway nodes are used to route that information. IoT now extended to IoET (internet of Everything) to cover all electronics exist around, like a body sensor networks, VANET's, smart grid stations, smartphone, PDA's, autonomous cars, refrigerators and smart toasters that can communicate and share information using existing network technologies. The sensor nodes in WSN have very limited transmission range as well as limited processing speed, storage capacities and low battery power. Despite a wide range of applications using WSN, its resource constrained nature given birth to a number severe security attacks e.g. Selective Forwarding attack, Jamming-attack, Sinkhole attack, Wormhole attack, Sybil attack, hello Flood attacks, Grey Hole, and the most dangerous BlackHole Attacks. Attackers can easily exploit these vulnerabilities to compromise the WSN network.
Cannibalism in temporary waters: Simulations and laboratory experiments revealed the role of spatial shape in the mosquito Aedes albopictus

Cannibalism is a commonly observed phenomenon in arthropod species having relevant consequences for population dynamics and individual fitness. It is a context-dependent behaviour and an understanding of the factors affecting cannibalism rate is crucial to highlight its ecological relevance. In mosquitoes, cannibalism between larval stages has been widely documented, and the role of density, food availability and length of contact between individuals also ascertained. However, although mosquitoes can develop in temporary water habitats with very heterogeneous topologies, the role of the site shape where cannibals and victims co-occur has been instead overlooked. In this paper, we investigated this issue by using a simulation approach and laboratory cannibalism experiments between old (third- and fourth-instars) and young (first-instar) larvae of the tiger mosquito Aedes albopictus. Three virtual spaces with different shapes were simulated and the number of larval encounters was estimated in each one to assess whether the spatial shape affected the number of encounters between cannibal and victims. Then, experimental trials in containers with similar shapes to those used in the simulations were performed, and the cannibalism rate was estimated at 24 and 48h. Our results showed that the spatial shape plays a role on cannibalism interactions, affecting the number of encounters between individuals. Indeed, in the experimental trials performed, we observed the highest cannibalism rate in the container with the highest number of encounters predicted by the simulations. Interestingly, we found also that spatial shape can affect cannibalism not only by affecting the number of encounters, but also the number of encounters “favorable” for cannibalistic events. Temporary waters are inhabited by several species other than mosquitoes. Our results, showing an influence of the spatial shape on cannibalism in Ae. albopictus larvae, add a new critical factor to those affecting ecological interactions in these habitats.
Direct current control method for three-phase motor drives

The requirements of three-phase motor drives in terms of reliability, efficiency, robustness, dynamic as well as cost efficiency are continuously increasing within the last years. To meet this demand the hardware components and motor drives are used in non-linear and special operating points leading to increased requirements for the control method. This paper presents a new direct current control method that is able to work at these operating points. It is robust, able to deal with non-linear loads and that overcomes some disadvantages of existing direct current control methods. The generic approach would even allow to use inverter systems with more than two levels.
Immunological and microbiological periodontal profiles in isolated growth hormone deficiency.

BACKGROUND Growth hormone (GH) has been identified as an important regulator of the immune response. We have previously shown that adults with isolated GH deficiency (IGHD) due to a mutation in the GH releasing hormone receptor (GHRHR) gene, have a greater chance of having periodontitis. However, the interaction of GH with periodontal tissues is still unknown, and this population has emerged as a unique model to investigate this issue. Therefore, we evaluated the microbiological and immunological periodontal profiles of such individuals. METHODS Nineteen IGHD and 19 controls matched by age, sex, diabetes, and smoking status, were enrolled in this case-control study. Periodontal clinical parameters (probing depth [PD] and clinical attachment loss [AL]) were measured at six sites per tooth. Immune mediators (C-reactive protein, matrix metalloproteinase [MMP]-8, MMP-9, interleukin [IL]-1α, IL-6, IL-8, tumor necrosis factor [TNF]-α, adiponectin, and leptin) were analyzed by enzyme-linked immunosorbent assay (ELISA) in the gingival crevicular fluid (GCF) in four non-adjacent sites for each participant (two with PD ≤3 mm [shallow sites] and two with PD ≥7 mm or the worst PD found in the mouth [deep sites]). Bacterial quantification (Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia) of subgingival biofilm samples collected from these same sites was performed by quantitative real-time polymerase chain reaction (qPCR). RESULTS IGHD individuals presented higher values of PD and AL, and increased levels of CRP, IL-8, MMP-8, and adiponectin in the GCF. Bacterial quantification did not identify differences between the two groups. CONCLUSION IGHD alters the local immune response in periodontal pockets leading to greater attachment loss, and GH stands out as an important hormone to be evaluated in the pathogenesis of periodontitis.
Markers of the HIV-1 reservoir: facts and controversies

Purpose of review The HIV-1 reservoir is composed of infected cells poised to replicate and spread the virus upon treatment interruption. It constitutes the main obstacle toward an HIV-1 cure. Whether marker(s) may allow the detection of cells that form the reservoir is an outstanding question. Here, we present and discuss recent advances and controversies in the identification and characterization of markers of the HIV-1 reservoir. Recent findings Latently infected T cells that persist under successful therapy do not express viral antigens, making their identification challenging. HIV is not equally distributed across T cells subsets. For instance, central memory, Th17, and T follicular helper cells largely contribute to viral persistence. Recently, novel markers of the reservoir have been identified. Using various strategies, different teams have reported that surface molecules such as immune checkpoints inhibitors, CD30, or CD32a may be enriched in latently infected cells or in cells harboring viral RNA. Summary Understanding the mechanisms underlying the presence of markers of HIV-1 infected cells will provide new insights into the formation and maintenance of the viral reservoir. These markers should also facilitate the detection of persistently infected cells in patients’ samples and in animal models, and represent potential targets for elimination of these cells.
The dimple in Gneiting's spatial-temporal covariance model

Gneiting (2002) proposed a nonseparable covariance model for spatial-temporal data. In the present paper we show that in certain circumstances his model possesses a counterintuitive dimple. In some cases, the magnitude of the dimple can be nontrivial. Copyright 2011, Oxford University Press.
Gerando possibilidades concretas de uso da proposta curricular do Estado com metodologias investigativas

One of the biggest challenges in education, especially in mathematics, is to provide students the production of significant knowledge. In that sense, this paper seeks to show, with a qualitative action-research, how investigative activities open paths to the search for knowledge in a critical and reflective way, to enable personal development, and integrate content from disciplines with the students’ everyday experiences. The application of this methodology to seventh grade students in a public school showed that the partnership between teacher and pupils builds and strengthens this construction of knowledge, and that the existence of a negotiated didactic contract was essential to this process.
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance

Applications of optimal transport have recently gained remarkable attention as a result of the computational advantages of entropic regularization. However, in most situations the Sinkhorn approximation to the Wasserstein distance is replaced by a regularized version that is less accurate but easy to differentiate. In this work we characterize the differential properties of the original Sinkhorn approximation, proving that it enjoys the same smoothness as its regularized version and we explicitly provide an efficient algorithm to compute its gradient. We show that this result benefits both theory and applications: on one hand, high order smoothness confers statistical guarantees to learning with Wasserstein approximations. On the other hand, the gradient formula allows to efficiently solve learning and optimization problems in practice. Promising preliminary experiments complement our analysis.
Novel triple-positive markers identified in human non-small cell lung cancer cell line with chemotherapy-resistant and putative cancer stem cell characteristics

Through the specific identification and direct targeting of cancer stem cells (CSCs), it is believed that a better treatment efficacy of cancer may be achieved. Hence, the present study aimed to identify a CSC subpopulation from adenocarcinoma cells (A549) as a model of non-small cell lung cancer (NSCLC). Initially, we sorted two subpopulations known as the triple-positive (EpCAM+/CD166+/CD44+) and triple-negative (EpCAM−/CD166−/CD44−) subpopulation using fluorescence-activated cell sorting (FACS). Sorted cells were subsequently evaluated for proliferation and chemotherapy-resistance using a viability assay and were further characterized for their clonal heterogeneity, self-renewal characteristics, cellular migration, alkaline dehydrogenase (ALDH) activity and the expression of stemness-related genes. According to our findings the triple-positive subpopulation revealed significantly higher (P<0.01) proliferation activity, exhibited better clonogenicity, was mostly comprised of holoclones and had markedly bigger (P<0.001) spheroid formation indicating a better self-renewal capacity. A relatively higher resistance to both 5-fluouracil and cisplatin with 80% expression of ALDH was observed in the triple-positive subpopulation, compared to only 67% detected in the triple-negative subpopulation indicated that high ALDH activity contributed to greater chemotherapy-resistance characteristics. Higher percentage of migrated cells was observed in the triple-positive subpopulation with 56% cellular migration being detected, compared to only 19% in the triple-negative subpopulation on day 2. This was similarly observed on day 3 in the triple-positive subpopulation with 36% higher cellular migration compared to the triple-negative subpopulation. Consistently, elevated levels of the stem cell genes such as REX1 and SSEA4 were also found in the triple-positive subpopulation indicating that the subpopulation displayed a strong characteristic of pluripotency. In conclusion, our study revealed that the triple-positive subpopulation demonstrated similar characteristics to CSCs compared to the triple-negative subpopulation. It also confirmed the feasibility of using the triple-positive (EpCAM+/CD166+/CD44+) marker as a novel candidate marker that may lead to the development of novel therapies targeting CSCs of NSCLC.