Miracle-dz/UniFAR-FTUs huggingface dataset:
The Best Approximation of the Field E ects in Electric Circuit

Problems Daniel Ioan, Irina Munteanu (IEEE members) and Cristian-George Constantin "POLITEHNICA" University of Bucharest, Numerical Methods Laboratory Electrical Engineering Dept. Spl. Independentei 313, 77206 Bucharest, Romania Abstract| The paper presents a new e cient technique to solve electromagnetic eld problems coupled with electric or electronic circuits. It is based on a post-processing algorithm which extracts from the numerical eld solution a lumped parameters circuit with imposed complexity, ensuring minimal approximation error. In order to evaluate the algorithm's accuracy a general theory regarding equivalent circuits for quasistationary eld e ects was developed. The new technique was applied and errors were evaluated in two simple but relevant cases. A practical application (the FLUXSET sensor modeling) is also presented. Index terms|Eddy currents, distributed parameter circuits, approximation methods, identi cation, magnetic circuits, magnetic eld detector, electromagnetic circuit element.
Characterization of an ntrX Mutant of Neisseria gonorrhoeae Reveals a Response Regulator That Controls Expression of Respiratory Enzymes in Oxidase-Positive Proteobacteria

ABSTRACT NtrYX is a sensor-histidine kinase/response regulator two-component system that has had limited characterization in a small number of Alphaproteobacteria. Phylogenetic analysis of the response regulator NtrX showed that this two-component system is extensively distributed across the bacterial domain, and it is present in a variety of Betaproteobacteria, including the human pathogen Neisseria gonorrhoeae. Microarray analysis revealed that the expression of several components of the respiratory chain was reduced in an N. gonorrhoeae ntrX mutant compared to that in the isogenic wild-type (WT) strain 1291. These included the cytochrome c oxidase subunit (ccoP), nitrite reductase (aniA), and nitric oxide reductase (norB). Enzyme activity assays showed decreased cytochrome oxidase and nitrite reductase activities in the ntrX mutant, consistent with microarray data. N. gonorrhoeae ntrX mutants had reduced capacity to survive inside primary cervical cells compared to the wild type, and although they retained the ability to form a biofilm, they exhibited reduced survival within the biofilm compared to wild-type cells, as indicated by LIVE/DEAD staining. Analyses of an ntrX mutant in a representative alphaproteobacterium, Rhodobacter capsulatus, showed that cytochrome oxidase activity was also reduced compared to that in the wild-type strain SB1003. Taken together, these data provide evidence that the NtrYX two-component system may be a key regulator in the expression of respiratory enzymes and, in particular, cytochrome c oxidase, across a wide range of proteobacteria, including a variety of bacterial pathogens.
A simple congestion pricing in wireless communication

Charging to users under severe high interference and making congestion may constitute a main concern of future wireless systems. In this paper, we would like to find a simple congestion pricing scheme using the shadow price concept about a utility maximization problem in microeconomics, where users consume high SIR using limited resource, transmission power. We proposed a distributed pricing method that each user is charged differently based on their transmission environment and a distributed algorithm to achieve optimal price. In this paper, we begin with simple utility function and derive an optimal pricing for users generating high interference. Finally, we will show how this pricing scheme is related to operator's profits.
Comparison of microbial community structures in intensive and extensive shrimp culture ponds and a mangrove area in Thailand

A pelagic bacterial community structure was examined in experimental intensive shrimp culture ponds that have a shrimp-mangrove complex aquaculture system, and extensive shrimp culture pond and a mangrove area in Thailand by denaturant gradient gel electrophoresis analysis of polymerase chain reaction amplified partial 16S rRNA genes. Bacterial community structure in the intensive shrimp culture ponds was distinguishable from that of the mangrove area. In the extensive shrimp culture pond, the bacterial community structure resembled that in the mangrove area, but bacterial abundance was as great as that in the intensive shrimp culture ponds. Among the intensive shrimp culture ponds, the bacterial community structure was different between a closed culture system and a shrimp-mangrove complex culture system. Moreover, the bacterial community structure in mangrove planted ponds was close to those in the intensive shrimp culture ponds when shrimp culture was conducted, but it was close to those in the mangrove areas without shrimp culture. These results suggest that intensive shrimp culture with shrimp feed input affects the bacterial community structures in pond water.
An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs

We study optimization for collaborative multi-agent planning in factored Markov decision processes (MDPs) with shared resource constraints. Following past research, we derive a distributed planning algorithm for this setting based on Lagrangian relaxation: we optimize a convex dual function which maps a vector of resource prices to a bound on the achievable utility. Since the dual function is not differentiable, the most common method for optimizing it is subgradient descent. This method is appealing, since we can compute the subgradient by asking each agent to plan independently of the others using the current resource prices; however, subgradient descent unfortunately requires O( −2) iterations to achieve accuracy , and therefore the overall Lagrangian relaxation algorithm can have trouble scaling to realistic domains. So, instead, we propose to optimize a smoothed version of the dual function via a fast proximal gradient algorithm. By trading the error caused by smoothing against the faster convergence of the proximal gradient method, we demonstrate that we can obtain faster (O( −1)) convergence of the overall Lagrangian relaxation. Furthermore, we propose a particular smoothing method, based on maximum causal entropy, for which the subgradient calculation remains simple and efficient.
N-H...N and C-H...pi interactions in 4-amino-3-methyl-5-(p-tolyl)-4H-1,2,4-triazole and 4-amino-3-methyl-5-phenyl-4H-1,2,4-triazole.

The title compounds, C10H12N4, (I), and C9H10N4, (II), have been synthesized and characterized both spectroscopically and structurally. The dihedral angles between the triazole and benzene ring planes are 26.59 (9) and 42.34 (2) degrees, respectively. In (I), molecules are linked principally by N-H.N hydrogen bonds involving the amino NH2 group and a triazole N atom, forming R(4)4(20) and R(2)4(10) rings which link to give a three-dimensional network of molecules. The hydrogen bonding is supported by two different C-H.pi interactions from the tolyl ring to either a triazole ring or a tolyl ring in neighboring molecules. In (II), intermolecular hydrogen bonds and C-H.pi interactions produce R(3)4(15) and R(4)4(21) rings.
Individual and Joint Acute Toxicities of Selected Insecticides Against Bombyx mori (Lepidoptera: Bombycidae)

Abstract As widely used pesticides, organophosphate, pyrethroid, and neonicotinoid insecticides have different modes of action. In the present study, we evaluated individual and joint acute toxicities of two organophosphates, two pyrethroids, and two neonicotinoids against the second-instar silkworm by feeding silkworm with the insecticide-treated mulberry leaves. The 96-h lethal concentration 50 (LC50) values of chlorpyrifos, acephate, imidacloprid, thiamethoxam, cypermethrin, and deltamethrin against silkworm were 3.45 (2.95–4.31), 44.45 (39.34–48.56), 1.27 (1.19–1.35), 2.38 (2.19–2.54), 0.36 (0.30–0.43), and 0.037 (0.033–0.041) mg/liter, respectively. Moreover, the 96-h LC50 values of 50:50 binary mixtures of insecticides against silkworm ranged from 0.048 (0.043–0.054) to 3.52 (2.09–4.51) mg/liter. In addition, the combination coefficient (Q) values of all tested mixtures ranged from 0.36 to 3.37. According to the obtained Q values, the binary mixture of deltamethrin–chlorpyrifos showed antagonistic effects at 96-h interval, while the other binary mixtures had additive effects. Taken together, our results provided valuable guidelines in assessing the ecological risk of these insecticide mixtures against silkworm.
Serialized Asynchronous Links for NoC

This paper proposes an asynchronous serialized link for NoC that can achieve the same levels of performance in terms of flits per second as a synchronous link but with a reduced number of wires in the point to point switch links and reduced power consumption. This is achieved by employing serialization in the asynchronous domain as opposed to synchronous to facilitate the removal of global clocking on the serial links. Based on transistor level simulations using 0.12 mum foundry models it has been shown that it is possible to achieve the same level of performance as synchronous but with 75% reduction in wires and 65% reduction in power for a 300 MFlit/s link with 8 buffers with a switch clock speed of 300 MHz. Furthermore the paper presents the design requirements arising from interfacing switches of synchronous NoC and asynchronous serial links.
Independent signaling by Drosophila insulin receptor for axon guidance and growth

The Drosophila insulin receptor (DInR) regulates a diverse array of biological processes including growth, axon guidance, and sugar homeostasis. Growth regulation by DInR is mediated by Chico, the Drosophila homolog of vertebrate insulin receptor substrate proteins IRS1–4. In contrast, DInR regulation of photoreceptor axon guidance in the developing visual system is mediated by the SH2-SH3 domain adaptor protein Dreadlocks (Dock). In vitro studies by others identified five NPXY motifs, one in the juxtamembrane region and four in the signaling C-terminal tail (C-tail), important for interaction with Chico. Here we used yeast two-hybrid assays to identify regions in the DInR C-tail that interact with Dock. These Dock binding sites were in separate portions of the C-tail from the previously identified Chico binding sites. To test whether these sites are required for growth or axon guidance in whole animals, a panel of DInR proteins, in which the putative Chico and Dock interaction sites had been mutated individually or in combination, were tested for their ability to rescue viability, growth and axon guidance defects of dinr mutant flies. Sites required for viability were identified. Unexpectedly, mutation of both putative Dock binding sites, either individually or in combination, did not lead to defects in photoreceptor axon guidance. Thus, either sites also required for viability are necessary for DInR function in axon guidance and/or there is redundancy built into the DInR/Dock interaction such that Dock is able to interact with multiple regions of DInR. We also found that simultaneous mutation of all five NPXY motifs implicated in Chico interaction drastically decreased growth in both male and female adult flies. These animals resembled chico mutants, supporting the notion that DInR interacts directly with Chico in vivo to control body size. Mutation of these five NPXY motifs did not affect photoreceptor axon guidance, segregating the roles of DInR in the processes of growth and axon guidance.
Rate-Invariant User Preselection for Complexity Reduction in Multiuser MIMO Systems

Finding the matrix with the maximum singular value amongst a set of matrices is a common problem occurring in transmit signal processing algorithms for multiuser multiple-input multiple-output (MIMO) systems. However, computing the principal singular value of a matrix is a rather numerically complex task. Furthermore, in many practical scenarios, the number of users is large and for each user this task has to be conducted. In this paper we therefore propose a novel user preselection method which reduces the computational complexity at no performance loss. This is achieved by deselecting some users based on a simple criterion and thus avoiding explicit computations of the singular values of those users. This criterion is based on easily computable bounds for the principal singular values. Finally, a statistical analysis is provided and the application to the Successive Encoding Successive Allocation Method (SESAM) is shown.
How does linguistic competence enhance cognitive functions in children? A study in multilingual children with different linguistic competences

The aim of the present study was to investigate the attentional mechanisms of multilingual children with differential degrees of language competence. For this purpose, 118 children (61 female/57 male; mean age 10.9 years (SD = 0.29); early acquisition multilinguals) from the Ladin valleys in South Tyrol, Italy, performed the Attentional Network Test (ANT). Our results proved that proficiency levels in early multilingual children may play a crucial role in the development and enhancement of the alerting component of the attentional system. Interestingly enough, we were able to deduce that linguistic competence rather than competence in other skill domains may have a decisive role in the alerting component. We suggest that the peculiarity of highly competent multilinguals relies on their ability to better detect, and consequently react faster to, the target stimulus than their less competent multilingual peers.
Small Vessels-Big Problems : Novel Insights into Microvascular Mechanisms of Diseases The role of perfusion in the oxygen extraction capability of skin and skeletal muscle

Thorn CE, Shore AC. The role of perfusion in the oxygen extraction capability of skin and skeletal muscle. Am J Physiol Heart Circ Physiol 310: H1277–H1284, 2016. First published March 25, 2016; doi:10.1152/ajpheart.00047. 2016. —Oxygen extraction (OE) by all cells is dependent on an adequate supply of oxygen in proximal blood vessels and the cell’s need and ability to uptake that oxygen. Here the role of blood flow in regulating OE in skin and skeletal muscle was investigated in lean and obese men. OE was derived by two optical reflectance spectroscopy techniques: 1) from the rate of fall in mean blood saturation during a 4 min below knee arterial occlusion, and thus no blood flow, in calf skin and skeletal muscle and 2) in perfused, unperturbed skin, using the spontaneous falls in mean blood saturation induced by vasomotion in calf and forearm skin of 24 subjects, 12 lean and 12 obese. OE in perfused skin was significantly higher in lean compared with obese subjects in forearm (MannWhitney, P 0.004) and calf (P 0.001) and did not correlate with OE in unperfused skin ( 0.01, P 0.48). With arterial occlusion and thus no blood flow, skin OE in lean and obese subjects no longer differed (P 0.23, not significant). In contrast in skeletal muscle with arterial occlusion and no blood flow, the difference in OE between lean and obese subjects occurred, with obese subjects exhibiting significantly higher OE (P 0.012). The classic model of metabolic blood flow regulation to support oxygen extraction is evident in perfused skin; OE is perturbed without blood flow and reduced in obesity. In resting skeletal muscle other mechanism(s), independent of blood flow, are implicated in oxygen extraction.
Transcription of multi-genre media archives using out-of-domain data

We describe our work on developing a speech recognition system for multi-genre media archives. The high diversity of the data makes this a challenging recognition task, which may benefit from systems trained on a combination of in-domain and out-of-domain data. Working with tandem HMMs, we present Multi-level Adaptive Networks (MLAN), a novel technique for incorporating information from out-of-domain posterior features using deep neural networks. We show that it provides a substantial reduction in WER over other systems, with relative WER reductions of 15% over a PLP baseline, 9% over in-domain tandem features and 8% over the best out-of-domain tandem features.
Refining the measurement of mood: The UWIST Mood Adjective Checklist

Research using a refinement of existing measures of mood, the UWIST Mood Adjective Checklist (UMACL), is reviewed. A factor analysis (N = 388), using a validated criterion for assessing the number of factors to be extracted, confirmed that the UMACL measures dimensions of energetic arousal, tense arousal and hedonic tone. Psychometric properties of UMACL scales were satisfactory. Discriminant validity was established by showing that correlations between UMACL scales and demographic and personality variables were small in magnitude, though of theoretical importance. Significant correlations between the arousal scales and psychophysiological measures of autonomic arousal demonstrate concurrent validity. A series of studies shows that the UMACL scales are sensitive to external ‘stressors’. Specific influences on each of the three principal scales have been found. Certain stressors appear to evoke a more general stress syndrome associated with reduced energetic arousal and hedonic tone, and increased tense arousal.
Improvement of thermal properties of micro head engine electroplated by graphene: experimental and thermal simulation

ABSTRACT The present work deals with to improve knowledge of the mechanism of deposition of graphene on a complex geometry. The component of this study is an aluminum micro head engine that represents an interesting study case for its application in the field of heat dissipation. It has been coated with copper and graphene nanoplatelets by an electrodeposition process. The tests are conducted by realizing a system heat source similar to engine thermal behavior. The analysis has been developed on a micro head engine with a comparison between thermography results and finite element method (FEM) thermal analysis by commercial software Ansys. A three-dimensional heat conduction model in the coating structure was built, based on which FEM simulation was done. The influence of convection conditions has been evaluated by a comparison with FEM analysis without computational fluid dynamics simulations. The increase of thermal conductivity of coated specimen has been evaluated with the original one. Data analysis was performed by a comparison with 2-norm of fitting curves between the laboratory tests and simulations.
Autonomous Chemical Vapour Detection by Micro UAV

The ability to remotely detect and map chemical vapour clouds in open air environments is a topic of significant interest to both defence and civilian communities. In this study, we integrate a prototype miniature colorimetric chemical sensor developed for methyl salicylate (MeS), as a model chemical vapour, into a micro unmanned aerial vehicle (UAV), and perform flights through a raised MeS vapour cloud. Our results show that that the system is capable of detecting MeS vapours at low ppm concentration in real-time flight and rapidly sending this information to users by on-board telemetry. Further, the results also indicate that the sensor is capable of distinguishing “clean” air from “dirty”, multiple times per flight, allowing us to look towards autonomous cloud mapping and source localization applications. Further development will focus on a broader range of integrated sensors, increased autonomy of detection and improved engineering of the system.
Using Fuzzy Logic For Multi-Domain Sentiment Analysis

Recent advances in the Sentiment Analysis field focus on the investigation about the polarities that concepts describing the same sentiment have when they are used in different domains. In this paper, we investigated on the use of fuzzy logic representation for modeling knowledge concerning the relationships between sentiment concepts and different domains. The developed system is built on top of a knowledge base defined by integrating WordNet and SenticNet, and it implements an algorithm used for learning the use of sentiment concepts from multi-domain datasets and for propagating such information to each concept of the knowledge base. The system has been validated on the Blitzer dataset, a multi-domain sentiment dataset built by using reviews of Amazon products, by demonstrating the effectiveness of the proposed approach.
Resilient Control of Networked Control System Under DoS Attacks: A Unified Game Approach

We consider the problem of resilient control of networked control system (NCS) under denial-of-service (DoS) attack via a unified game approach. The DoS attacks lead to extra constraints in the NCS, where the packets may be jammed by a malicious adversary. Considering the attack-induced packet dropout, optimal control strategies with multitasking and central-tasking structures are developed using game theory in the delta domain, respectively. Based on the optimal control structures, we propose optimality criteria and algorithms for both cyber defenders and DoS attackers. Both simulation and experimental results are provided to illustrate the effectiveness of the proposed design procedure.
A Framework for Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Accelerometer Signals

As an essential branch of context awareness, activity awareness, especially daily activity monitoring and fall detection, is important to healthcare for the elderly and patients with chronic diseases. In this paper, a framework for activity awareness using surface electromyography and accelerometer (ACC) signals is proposed. First, histogram negative entropy was employed to determine the start- and end-points of static and dynamic active segments. Then, the angle of each ACC axis was calculated to indicate body postures, which assisted with sorting dynamic activities into two categories: dynamic gait activities and dynamic transition ones, by judging whether the pre- and post-postures are both standing. Next, the dynamic gait activities were identified by the double-stream hidden Markov models. Besides, the dynamic transition activities were distinguished into normal transition activities and falls by resultant ACC amplitude. Finally, a continuous daily activity monitoring and fall detection scheme was performed with the recognition accuracy over 98%, demonstrating the excellent fall detection performance and the great feasibility of the proposed method in daily activities awareness.