Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of MAO Process Parameters and Effect of Subsequent Sealing Treatment on Corrosion Resistance of Aluminum Alloy

Micro-arc oxidation (MAO) coatings were obtained on the substrate of AlSi12Cu aluminum alloy in Na2SiO3 electrolyte. Then, the MAO coatings were sealed in stearic acid and sodium silicate solution, respectively. Experiments were conducted by varying current density, oxidation time and the frequency. L9 (33) of orthogonal experiments were chosen to optimize the processing parameters in the process of MAO technique. Through the above orthogonal experiments, the optimal process conditions were determined: the current density of 30 A/dm2, the oxidation time of 20 min, and the frequency of 600 Hz. The results showed that the MAO coating consisted of α-Al2O3 and γ-Al2O3. There were lots of pores and micro-cracks on the coating surface. The corrosion current of the aluminum alloy after MAO combination with stearic acid sealing treatments was significantly reduced, decreased 100 times more than the substrate and the corrosion potential increased 272 mV, signifying enhanced corrosion resistance. The corrosion rate of the aluminum alloy after MAO treatment in the washing powder solution decreased 25 times more than that of the substrate.
A 12-bit 3.125 MHz Bandwidth 0–3 MASH Delta-Sigma Modulator

We demonstrate a 12-bit 0-3 MASH delta-sigma modulator with a 3.125 MHz bandwidth in a 0.18 mum CMOS technology. The modulator has an oversampling ratio of 8 (clock frequency of 50 MHz) and achieves a peak SNDR of 73.9 dB (77.2 & dB peak SNR) and consumes 24 mW from a 1.8 V supply. For comparison purposes, the modulator can be re-configured as a single-loop topology where a peak SNDR of 64.5 dB (66.3 dB peak SNR) is obtained with 22 mW power consumption. The energy required per conversion step for the 0-3 MASH architecture (0.95 pJ/step) is less than half of that required by the feedback topology (2.57 pJ/step).
The Computational Modern Greek Morphological Lexicon - An Efficient and Comprehensive System for Morphological Analysis and Synthesis

In this paper, we present a system performing morphological analysis and synthesis for the Greek language. Its main features are the use of a single framework to describe and classify morphological data into well-defined classes characterized by their own set of properties and mechanisms and the structuring of the database into distinct levels corresponding to the different levels of morphological information present in the above framework. The resulting system is characterized by simple and flexible algorithms with 100% success in the recognition and generation of morphological forms of the language independently of the complexity of the data they are handling.
Regional accents affect speech intelligibility in a multitalker environment

The current understanding of listener sensitivity to regional accents comes from examination of speech processing in quiet and in noise. This study had two aims: 1) to examine the intelligibility of regional accents in a multitalker environment, and 2) to explore a methodological question of whether systematic regional features can be detected in the productions of only one representative talker or whether several talkers are necessary to provide the suitable sample. Two American English dialects, General American English and Southern American English, were systematically varied both in the target speech and in the masking babble at three sound-tonoise ratios. The results showed that regional accents did influence listeners’ performance in a multitalker environment. Intelligibility was hampered when the target and the masker shared common dialect features or when listeners’ heard their own dialect in the masking babble. Southern American was a more intelligible variety than General American, which can be attributable to a set of specific acoustic phonetic features. The study found that systematic regional features can be reliably detected in the production of only one representative talker.
Load-tolerant differentiation with active queue management

Current work in the IETF aims at providing service differentiation on the Internet. One proposal is to provide loss differentiation by assigning levels of drop procedence to IP packets. In this paper, we evaluate the active queue management (AQM) mechanisms RED In and Out (RIO) and Weighted RED (WRED) in providing levels of drop precedence under different loads. For low drop precedence traffic, FIO and WRED can be configured to offer sheltering (i.e., low drop precedence traffic is protected from losses caused by higher drop precedence traffic). However, if traffic control fails or is inaccurate, such configurations can cause starvation of traffic at high drop precedence levels. Configuring WRED to instead offer relative differentiation can eliminate the risk of starvation. However, WRED cannot, without reconfiguration, both offer sheltering when low drop precedence traffic is properly controlled and avoid starvation at overload of low drop precedence traffic. To achieve this, we propose a new AQM mechanism, WRED with Thresholds (WRT). The benefit of WRT is that, without reconfiguration, it offers sheltering when low drop precedence traffic is properly controlled and relative differentiation otherwise. We present simulations showing that WRT has these properties.
LoLo: A System based on Terminology for Multilingual Extraction

An unsupervised learning method, based on corpus linguistics and special language terminology, is described that can extract time-varying information from text streams. The method is shown to be 'language-independent' in that its use leads to sets of regular-expressions that can be used to extract the information in typologically distinct languages like English and Arabic. The method uses the information related to the distribution of N-grams, for automatically extracting 'meaning bearing' patterns of usage in a training corpus. The analysis of an English news wire corpus (1,720,142 tokens) and Arabic news wire corpus (1,720,154 tokens) show encouraging results.
Nonvolcanic seafloor spreading and corner‐flow rotation accommodated by extensional faulting at 15°N on the Mid‐Atlantic Ridge: A structural synthesis of ODP Leg 209

Drilling during ODP Leg 209, dredging, and submersible dives have delineated an anomalous stretch of the Mid‐Atlantic Ridge north and south of the 15°20′N Fracture Zone. The seafloor here consists dominantly of mantle peridotite with gabbroic intrusions that in places is covered by a thin, discontinuous extrusive volcanic layer. Thick lithosphere (10–20 km) in this region inhibits magma from reaching shallow levels beneath the ridge axis, thereby causing plate accretion to be accommodated by extensional faulting rather than magmatism. The bathymetry and complex fault relations in the drill‐core suggest that mantle denudation and spreading are accommodated by a combination of high‐displacement, rolling‐hinge normal faults and secondary lower‐displacement normal faults. These extensional faults must also accommodate corner flow rotation (up to 90°) of the upwelling mantle within the shallow lithosphere, consistent with remnant magnetic inclinations in denuded peridotite and gabbro from Leg 209 core that indicate up to 90° of sub‐Curie‐temperature rotation.
Revisiting Ultraproducts in Fuzzy Predicate Logics

In this paper we examine different possibilities of defining reduced products and ultraproducts in fuzzy predicate logics. We present analogues to the $\L$os Theorem for these notions and discuss the advantages and drawbacks of each definition introduced. Following the work in \cite{De09}, we show that these constructions are adequate for working in a reduced semantics
Simulation-based optimization for integrated production planning and capacity expansion decisions

In this paper, we consider a simplified semiconductor supply chain that consists of a single front-end facility and back-end facility. We present a production planning formulation that is based on clearing functions. A cost-based objective function is considered. The minimum utilization of expensive bottleneck machines in the front-end facility is a parameter of the model. At the same time, the less expensive capacity of the back-end facility can be increased to reduce the cycle time in the back-end facility. The release schedules obtained from the planning formulations are assessed using discrete-event simulation. An overall cycle time larger than a given maximum value is penalized. Simulated annealing is used to determine appropriate minimum utilization levels for the front-end bottleneck machines and appropriate capacity expansion levels for the back-end. The results of the computational experiments demonstrate that the profit can be increased while the maximum possible overall cycle time is not violated.
Finding the Change-Point in a Binary Stream with Two Unknown, but Distant, Distributions

Security systems depend more and more on large numbers of constrained wireless devices that pervade large regions for gathering and filtering information. These systems of pervasive constrained devices may produce a flood of information due to the scale and scope of monitoring applications driving their deployment. Thus, it is natrual to expect these constrained devices to do some local processing to cut down on transmission costs and data flooding. In particular, our objective is to have each of these devices report only when the binary streams of independent bits they are monitoring changes. This is the change-point problem: at what point in a device’s bit stream can we announce the underlying distribution of bits has likely changed? This paper gives some results on implementation of algorithms for detecting change-points in binomial distributions when the underlying distributions change ex-
Berkovich nanoindentation study of monocrystalline tungsten: a crystal plasticity study of surface pile-up deformation

Abstract In this paper, it was investigated whether Berkovich indentation test with a triangular-based pyramidal imprint would exhibit the same surface pile-up deformation behaviour as in Vickers or spherical indentation tests. The characteristic correlation between the pile-up patterns of monocrystalline tungsten and the geometry of slip systems was examined both experimentally and computationally. Surface pile-up patterns for three different crystallographic orientations of specimens with corresponding rotational crystal symmetry were characterised. In addition, the effect of the varying azimuthal orientation of the indenter on the pile-up patterns was also discussed. Predictions from finite element simulation based on the crystal plasticity theory are also presented and compared with the measured results. It was found that the surface pile-up patterns of Berkovich indentation did not necessarily reflect the rotational crystal symmetry of tungsten single crystal specimens. The pile-up patterns were affected by the variation of the indenter’s azimuthal orientation. The height of the pile-up hillocks was often highly non-uniform even on the same surface plane indicating strong influence of slip geometry leading to the plastic anisotropy.
Helicobacter pylori Induces AGS Cell Motility and Elongation via Independent Signaling Pathways

ABSTRACT Helicobacter pylori induces motogenic and cytoskeletal responses in gastric epithelial cells. We demonstrate that these responses can be induced via independent signaling pathways that often occur in parallel. The cag pathogenicity island appears to be nonessential for induction of motility, whereas the elongation phenotype depends on translocation and phosphorylation of CagA.
Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability

Therapies involving new technologies such as brain-computer interfaces (BCI) are being studied to determine their potential for interventional rehabilitation after acute events such as stroke produce lasting impairments. While studies have examined the use of BCI devices by individuals with disabilities, many such devices are intended to address a specific limitation and have been studied when this limitation or disability is present in isolation. Little is known about the therapeutic potential of these devices for individuals with multiple disabilities with an acquired impairment overlaid on a secondary long-standing disability. We describe a case in which a male patient with congenital deafness suffered a right pontine ischemic stroke, resulting in persistent weakness of his left hand and arm. This patient volunteer completed four baseline assessments beginning at 4 months after stroke onset and subsequently underwent 6 weeks of interventional rehabilitation therapy using a closed-loop neurofeedback BCI device with visual, functional electrical stimulation, and tongue stimulation feedback modalities. Additional assessments were conducted at the midpoint of therapy, upon completion of therapy, and 1 month after completing all BCI therapy. Anatomical and functional MRI scans were obtained at each assessment, along with behavioral measures including the Stroke Impact Scale (SIS) and the Action Research Arm Test (ARAT). Clinically significant improvements in behavioral measures were noted over the course of BCI therapy, with more than 10 point gains in both the ARAT scores and scores for the SIS hand function domain. Neuroimaging during finger tapping of the impaired hand also showed changes in brain activation patterns associated with BCI therapy. This case study demonstrates the potential for individuals who have preexisting disability or possible atypical brain organization to learn to use a BCI system that may confer some rehabilitative benefit.
A mutation defining ultrainduction of the Escherichia coli gal operon

Tn10 insertion in the galS (ultrainduction factor) gene of Escherichia coli allows the gal operon to be constitutively expressed at a very high level, equal to that seen in a delta galR strain in the presence of an inducer. The insertion has been mapped by criss-cross Hfr matings and by marker rescue into Kohara phages at 46 min on the E. coli chromosome.
Preparation of chitosan–silica/PCL composite membrane as wound dressing with enhanced cell attachment

In the present study, the asymmetrical polycaprolactone membranes were synthesized using phase inversion method and modified by addition of Pluronic (F-127) and sodium hydroxide treatment to improve the cell attachment. The chemical structure, physical properties and mechanical behavior of the membranes as well as cell attachment and proliferation on them were characterized and compared to determine the appropriate membrane used in wound dressing fabrication. Then, a composite membrane as wound dressing capable of drug controlled-release was prepared composed of two merged layers: an asymmetrical poly(e-caprolactone) layer coated with a drug-loaded chitosan–silica matrix. Drug release behavior and biocompatibility of the final system were evaluated. The results showed that the polycaprolactone modified membrane provides appropriate properties to expand fibroblast cell adhesion and proliferation. This in-vitro study also showed that the controlled-release composite wound dressing was developed with approximately 70% cumulative release rate, which provided a porous substrate to support skin cells. Copyright © 2017 John Wiley & Sons, Ltd.
Operation analysis of digital control based MHz totem-pole PFC with GaN device

This paper presents an accurate analytical model to calculate the control switch on-time of voltage mode gallium nitride (GaN) devices based MHz critical conduction mode (CRM) power factor correction (PFC) rectifier. The purpose of this model is for digital control implementation of the GaN-based MHz PFC. By making the average input current equal to the sinusoidal reference current in the whole line cycle, the calculated on-time can be applied in voltage-mode-based CRM PFC, to achieve low input current distortion and high power factor. The model considers the resonance between inductor and switch parasitic capacitor, which improves its accuracy at MHz switching frequency range. In addition, this model is applicable when zero-voltage-switching (ZVS) extension is applied.
Science Graph for characterizing the recent scientific landscape using Paragraph Vectors

Maps of science representing the structure of science can help us understand science and technology (S&T) development. Thus, research in scientometrics has developed techniques for analyzing research activities and for measuring their relationships; however, navigating the recent scientific landscape is still challenging, since conventional inter-citation and co-citation analysis has difficulty in applying to ongoing projects and recently published papers. Therefore, in order to characterize what is being attempted in the current scientific landscape, this paper proposes a content-based method of locating research projects in a multi-dimensional space using word/paragraph embedding techniques. Specifically, for addressing an unclustered problem associated with paragraph vectors, we introduce cluster vectors based on the information entropies of concepts in an S&T thesaurus. In addition, we propose three approaches to find the semantics of project relationships. The experimental results show that the proposed method successfully formed a clustered graph from 25,607 project descriptions from the 7th Framework Programme of EU from 2006 to 2016. Finally, we evaluated the distances and semantics of the project relationships and identified significant relationships from the graph.
Bat fl ight height monitored from wind masts predicts mortality risk at wind farms

Bat fatalities by collision or barotrauma at wind farms currently raise high conservation concerns. In many countries, pre-installation acoustic surveys are mandatory in order to assess the impacts of wind farm projects. In this purpose, the use of wind masts to estimate bat activity and hence predict collision risk is highly recommended by conservation committees worldwide. Yet, the degree to which collisions may be predicted from acoustic monitoring at wind masts has been strongly debated. To assess this relationship, microphone arrays were installed on 23 wind masts in order to record and locate bat activity on the vertical axis during 3260 nights. For each species, we also calculated a collision susceptibility index, based on fatality data gathered in the literature and corrected for species abundance. We demonstrate that the collision susceptibility index is correlated with the percentage of bat passes at blade height. The acoustic recordings allowed us to establish a reference for the ratios of flight activity above heights of 20–45 m high for more than 16 European bat species. The correlation we demonstrate here between the percentage of bat passes at height – recorded from acoustic surveys on wind masts – and bat fatalities strongly supports that activity estimates from wind masts are appropriate for wind turbine impact assessments.
MULTI-DOCUMENT SUMMARIZATION SYSTEM: USING FUZZY LOGIC AND GENETIC ALGORITHM

In the recent times, the requirement for generation of multi-document summary has gained a lot of attention among the researchers. Mostly, the text summarization technique uses the sentence extraction technique where the salient sentences in the multiple documents are extracted and presented as a summary. In our proposed system, we have developed a sentence extraction based automatic multi-document summarization system that employs fuzzy logic and Genetic Algorithm (GA). At first, the different features are used to identify the significance of sentences in such a way that, each sentence in the documents is specified with the feature score. The feature score is then fed to the fuzzy logic (an AI technique) in which the fuzzy inference engine decides the importance of the sentences based on the fuzzy rules. The fuzzy rules are optimized with the help of GA algorithm and the extraction of sentences can be done based on the fuzzy score of each sentences. A multi document summary is created from the extracted sentences after removing the redundant sentences. The experiments have been done using the DUC 2002 dataset and the summary is evaluated with the measures such as Precision, Recall and Fmeasure.
Charge Noise in Organic Electrochemical Transistors

Organic electrochemical transistors (OECTs) are increasingly studied for sensing applications. While analyzing and maximizing OECT signal has been emphasized, noise has been mostly ignored, even though it limits a sensor's resolution. The authors demonstrate that $1/f$ noise in OECTs is due to charge fluctuations near or within the channel material. The magnitude of this noise is similar to that observed in graphene transistors, and only slightly higher than in devices based on carbon nanotubes or silicon nanowires. For best results, design large-area channels.
Cytopathogenic and Noncytopathogenic RNA Replicons of Classical Swine Fever Virus

ABSTRACT To determine the minimal requirements for autonomous RNA replication of classical swine fever virus (CSFV), genomes having in-frame deletions within the genes for structural and flanking nonstructural proteins were constructed, based on an infectious cDNA clone of CSFV Alfort/187. RNA was transcribed in vitro from the respective plasmids and transfected into SK-6 swine kidney cells. The replication competence of the RNA was determined by immunostaining transfected cells for CSFV NS3 protein and by analysis of cell extracts for viral RNA, as well as protein synthesis at different times after transfection. The genes encoding Npro, C, Erns, E1, E2, p7, and NS2 proved to be dispensable for RNA replication, but the efficiency of replication varied strongly between individual constructs. RNA replicons containing the complete NS2-NS3 gene persisted in transfected cells and continued to replicate without causing any obvious morphological or functional damage to the cells, whereas genomes lacking the NS2 gene replicated more efficiently and induced a cytopathic effect. These findings suggest that NS2, although it is not essential for pestivirus RNA replication, has a regulatory function therein. Both cytopathogenic and noncytopathogenic replicons were packaged into virus particles provided in trans by a cotransfected full-length helper virus genome.
Determination of Vascular Dementia Brain in Distinct Frequency Bands with Whole Brain Functional Connectivity Patterns

Recent studies have shown that multivariate pattern analysis (MVPA) can be useful for distinguishing brain disorders into categories. Such analyses can substantially enrich and facilitate clinical diagnoses. Using MPVA methods, whole brain functional networks, especially those derived using different frequency windows, can be applied to detect brain states. We constructed whole brain functional networks for groups of vascular dementia (VaD) patients and controls using resting state BOLD-fMRI (rsfMRI) data from three frequency bands - slow-5 (0.01∼0.027 Hz), slow-4 (0.027∼0.073 Hz), and whole-band (0.01∼0.073 Hz). Then we used the support vector machine (SVM), a type of MVPA classifier, to determine the patterns of functional connectivity. Our results showed that the brain functional networks derived from rsfMRI data (19 VaD patients and 20 controls) in these three frequency bands appear to reflect neurobiological changes in VaD patients. Such differences could be used to differentiate the brain states of VaD patients from those of healthy individuals. We also found that the functional connectivity patterns of the human brain in the three frequency bands differed, as did their ability to differentiate brain states. Specifically, the ability of the functional connectivity pattern to differentiate VaD brains from healthy ones was more efficient in the slow-5 (0.01∼0.027 Hz) band than in the other two frequency bands. Our findings suggest that the MVPA approach could be used to detect abnormalities in the functional connectivity of VaD patients in distinct frequency bands. Identifying such abnormalities may contribute to our understanding of the pathogenesis of VaD.