Miracle-dz/UniFAR-FTUs huggingface dataset:
P.115: Micropyramid Array with Antireflective Nanostructure Surfaces for Light Extraction Efficiency Enhancement of Organic Light Emitting Devices

A novel and efficient light extraction technique of OLEDs by attaching hierarchical micro‐pyramid array with antireflective nanostructures was demonstrated. The hierarchical micropyramid arrays were nanoimprinted on polycarbonate films by using silicon concave mold incorporated with micropyramid and nanoporous surface, which were made by alkaline texturing and nanoparticle‐catalyzed etching processes respectively. The additional antireflective nanostructures can effectively reduce the loss for the light normally incident at the inclined surface. After applying the subwavelength antireflective surface at the conventional micropyramids, the luminous efficiency enhancement was improved from 37.7% to 84.2%.
KINEMATICS OF THE HAND AND KEY ROTATION IN A TENNIS FOREHAND DRIVE OF TENNIS PLAYERS

The purpose of the present study was to quantify kinematic variables of the hand of dominant arm and the main responsible rotation of the upper limb to the racket head velocity in an attack tennis forehand drive. Three elite tennis players and three highperformance tennis players were recorded with inertial measurement units (IMUs) with a frequency of 120 Hz during a cross-court (CC) and an inside-out (IO) forehand drive. The six fastest strokes in both directions were selected for analyses. Differences between two directions were shown in the follow through with a higher wrist abduction when playing in the inside-out direction (cross-court: 13.9 ± 17.2°; inside-out: 16.9 ± 18.6°). Results demonstrated that the horizontal flexion of the upper arm were the main responsible for the racket head velocity (48.1% CC and 45.2% IO).
Independently Tunable Concurrent Dual-Band VCO Using Square Open-Loop Resonator

A concurrent dual-band voltage-controlled oscillator (VCO) with independently tunable dual oscillation frequencies is proposed. A shared square open-loop dual-mode resonator and two varactor diodes are the basic units offering flexible tuning for the dual-band operation. A back-to-back varactor diode between the split of the resonator controls the odd-mode resonant frequency, and a single varactor diode is placed at the center of the resonator to adjust the even-mode resonant frequency. By combining the other four resonators with the shared dual-mode resonator, two distinct three-pole tunable bandpass filters (BPF) are designed as two frequency selective elements. Based on the two elements, a parallel-feedback concurrent dual-band VCO is fabricated with independently-tuned dual oscillation frequencies. Moreover, the mathematical deductions are analyzed to optimize the tuning ranges of the dual-oscillation frequencies and the circuit sizes. The measured results show that the two oscillation frequencies cover a tuning range of 5.114–5.28 GHz and 7.61–7.97 GHz, respectively.
Voltage regulation of STATCOM using flexible PI control

Static Synchronous compensator is a voltage source inverter that converts a dc voltage at its input terminals into 3-phase set of ac voltages at fundamental frequency with controllable magnitude and phase angle. In Flexible Alternating Current Transmission system, STATCOM is important as well as necessary device for reactive compensation. Reactive power compensation is an important issue in the control of electric power systems. Facts system is new technology for reactive power control as well as controlling various parameters like voltage, current, phase angle and impedance. In electrical transmission line, static synchronous compensator acts as source or sink of reactive ac power to an electricity network. Static Var generators used in power system to following main objective is that increase power transmission capability from generating station to load station. In this paper a new control model is implemented that i.e. voltage regulation of STATCOM using improved adaptable PI controller. In during disturbance this improved Adaptable PI controller spontaneously and effectively adjust the proportional — integral gains and performance of various parameters match the proposed control system.
Distributed Base Station Association and Power Control for Heterogeneous Cellular Networks

In this paper, we propose a universal joint base station (BS) association (BSA) and power control (PC) algorithm for heterogeneous cellular networks. Specifically, the proposed algorithm iteratively updates the BSA solution and the transmit power of each user. Here, the new transmit power level is expressed as a function of the power in the previous iteration, and this function is called the power update function (puf). We prove the convergence of this algorithm when the puf of the PC strategy satisfies the so-called “two-sided scalable (2.s.s.) function” property. Then, we develop a novel hybrid PC (HPC) scheme by using noncooperative game theory and prove that its corresponding puf is 2.s. s. Therefore, this HPC scheme can be employed in the proposed joint BSA and PC algorithm. We then devise an adaptation mechanism for the HPC algorithm so that it can support the signal-tointerference-plus-noise ratio (SINR) requirements of all users whenever possible while exploiting multiuser diversity to improve the system throughput. We show that the proposed HPC adaptation algorithm outperforms the well-known Foschini-Miljianic PC algorithm in both feasible and infeasible systems. In addition, we present the application of the developed framework to design a hybrid access scheme for two-tier macrocell-femtocell networks. Numerical results are then presented to illustrate the convergence of the proposed algorithms and their superior performance, compared with existing algorithms in the literature.
Xoc, an extension-oriented compiler for systems programming

Today's system programmers go to great lengths to extend the languages in which they program. For instance, system-specific compilers find errors in Linux and other systems, and add support for specialized control flow to Qt and event-based programs. These compilers are difficult to build and cannot always understand each other's language changes. However, they can greatly improve code understandability and correctness, advantages that should be accessible to all programmers. We describe an extension-oriented compiler for C called xoc. An extension-oriented compiler, unlike a conventional extensible compiler, implements new features via many small extensions that are loaded together as needed. Xoc gives extension writers full control over program syntax and semantics while hiding many compiler internals. Xoc programmers concisely define powerful compiler extensions that, by construction, can be combined; even some parts of the base compiler, such as GNU C compatibility, are structured as extensions. Xoc is based on two key interfaces. Syntax patterns allow extension writers to manipulate language fragments using concrete syntax. Lazy computation of attributes allows extension writers to use the results of analyses by other extensions or the core without needing to worry about pass scheduling. Extensions built using xoc include xsparse, a 345-line extension that mimics Sparse, Linux's C front end, and xlambda, a 170-line extension that adds function expressions to C. An evaluation of xoc using these and 13 other extensions shows that xoc extensions are typically more concise than equivalent extensions written for conventional extensible compilers and that it is possible to compose extensions.
Adaptive Motion Estimation Processor for Autonomous Video Devices

Motion estimation is the most demanding operation of a video encoder, corresponding to at least 80% of the overall computational cost. As a consequence, with the proliferation of autonomous and portable handheld devices that support digital video coding, data-adaptive motion estimation algorithms have been required to dynamically configure the search pattern not only to avoid unnecessary computations and memory accesses but also to save energy. This paper proposes an application-specific instruction set processor (ASIP) to implement data-adaptive motion estimation algorithms that is characterized by a specialized datapath and a minimum and optimized instruction set. Due to its low-power nature, this architecture is highly suitable to develop motion estimators for portable, mobile, and battery-supplied devices. Based on the proposed architecture and the considered adaptive algorithms, several motion estimators were synthesized both for a Virtex-II Pro XC2VP30 FPGA from Xilinx, integrated within an ML310 development platform, and using a StdCell library based on a 0.18 μ m CMOS process. Experimental results show that the proposed architecture is able to estimate motion vectors in real time for QCIF and CIF video sequences with a very low-power consumption. Moreover, it is also able to adapt the operation to the available energy level in runtime. By adjusting the search pattern and setting up a more convenient operating frequency, it can change the power consumption in the interval between 1.6 mW and 15 mW.
A Support Vector Machine Based Approach for Code Smell Detection

Code smells may be introduced in software due to market rivalry, work pressure deadline, improper functioning, skills or inexperience of software developers. Code smells indicate problems in design or code which makes software hard to change and maintain. Detecting code smells could reduce the effort of developers, resources and cost of the software. Many researchers have proposed different techniques like DETEX for detecting code smells which have limited precision and recall. To overcome these limitations, a new technique named as SVMCSD has been proposed for the detection of code smells, based on support vector machine learning technique. Four code smells are specified namely God Class, Feature Envy, Data Class and Long Method and the proposed technique is validated on two open source systems namely ArgoUML and Xerces. The accuracy of SVMCSD is found to be better than DETEX in terms of two metrics, precision and recall, when applied on a subset of a system. While considering the entire system, SVMCSD detect more occurrences of code smells than DETEX.
Can the digital divide be contained

Rapid technological change typically occurs in an uneven fashion. Certainly, there is no doubt about the unprecedented speed of progress in the use of the new information and communication technologies (ICTs) ae but patterns of diffusion are less clear and change fast. Given the pervasive impact of ICTs on society, there is grave concern about whether the rapid and uneven spread of ICTs will further widen the “digital divide” that has already emerged between industrialized and developing countries. For, since the conditions enabling the spread of ICTs vary ae or are simply unmet ae in many parts of the developing world, differing speeds of diffusion will inevitably mean a widening digital divide. Then, if ICT use proves to be associated with economic gains, that widening digital divide can only reinforce and deepen the existing socio-economic divide between industrialized and developing countries. Concern over the uneven diffusion of ICTs is therefore well placed and is at the heart of this article. This article is based on several findings of the ILO’s World Employment Report 2001: Life at work in the information economy. It begins by summarizing the extent of the digital divide between industrialized and developing countries. There follows an analysis of the economic effects of ICT use, for example, as a result of the commercial applications of the Internet, or the productivity gains of the application of ICTs to business processes. The policy fundamentals underlying the successful entry into the information economy of certain developing countries are then discussed. Finally, an outline is provided of initiatives at international level to put ICTs at the service of development.
Superhydrophobic Textiles: Review of Theoretical Definitions, Fabrication and Functional Evaluation

Engineering of superhydrophobic textile surfaces has gained significant scientific and industrial interest for its potential applications in outdoor wear and protective textiles, resulting in many publications especially on theoretical models and fabrication methods. In this review, progress in theoretical definitions to explain the wetting behavior and realization techniques for superhydrophobic textile surfaces is discussed. Firstly, theoretical models from Young, Wenzel, and Cassie-Baxter to the more recent re-entrant angle model are overviewed to understand the design strategy for superhydrophobic surfaces. Secondly, major surface manipulation techniques to produce superhydrophobic textiles were reviewed for: modification of surface energy, addition of surface roughness by depositing or growing nanoparticles either in spherical form or in high aspect ratio, etching by plasma or caustic chemicals. Particular attention is paid to evaluation methods to measure the level of hydrophobicity for superhydrophobic textile surfaces, as a limitation of static water contact angle (WCA) on differentiating superhydrophobic surfaces has been reported elsewhere. The challenges in application of superhydrophobic textiles to clothing materials in terms of comfort properties and durability are discussed with the suggestion of further research opportunities to expand the application.
A Graph Degeneracy-based Approach to Keyword Extraction

We operate a change of paradigm and hypothesize that keywords are more likely to be found among inﬂuential nodes of a graph-of-words rather than among its nodes high on eigenvector -related centrality measures. To test this hypothesis, we introduce unsupervised techniques that capitalize on graph de-generacy . Our methods strongly and sig-niﬁcantly outperform all baselines on two datasets (short and medium size documents), and reach best performance on the third one (long documents).
Breaking the laws of action in the user interface

Fitts' law, Steering law and Law of crossing, collectively known as the laws of action, model the speed-accuracy trade-offs in common hci tasks. These laws impose a certain speed ceiling on precise actions in a user interface. My hypothesis is that for some interfaces, the constraints of these laws can be relaxed by using context information of the task. To support this thesis, I present two systems I have developed for pen-based text input on stylus keyboards. These systems break either Fitts' law or the Law of crossing by taking advantage of high-resolution information from the pen, and the fact that words can be seen as patterns traced on the keyboard. Using these systems users can potentially gain higher text entry speed than on a regular stylus keyboard that is limited by the laws of action. I conclude by discussing planned future research, primarily improved visual feedback and empirical evaluation.
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery

The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the best of human and machine capabilities. Following a bottom-up bibliographic research approach, the article categorizes the observed techniques in classes, highlighting current trends, gaps, and potential future directions for research. In particular it looks at strengths and weaknesses of information visualization and data mining, and for which purposes researchers in infovis use data mining techniques and reversely how researchers in data mining employ infovis techniques. The article further uses this information to analyze the discovery process by comparing the analysis steps from the perspective of information visualization and data mining. The comparison permits to bring to light new perspectives on how mining and visualization can best employ human and machine skills.
Extending features for multilabel classification with swarm biclustering

In some data mining applications the analyzed data can be classified as simultaneously belonging to more than one class, this characterizes the multi-label classification problem. Numerous methods for dealing with this problem are based on decomposition, which essentially treats labels (or some subsets of labels) independently and ignores interactions between them. This fact might be a problem, as some labels may be correlated to local patterns in the data. In this paper, we propose to enhance multi-label classifiers with the aid of biclusters, which are capable of finding the correlation between subsets of objects, features and labels. We then construct binary features from these patterns that can be interpreted as local correlations (in terms of subset of features and instances) in the data. These features are used as input for multi-label classifiers. We experimentally show that using such constructed features can improve the classification performance of some decompositive multi-label learning techniques.
he interest in eight new psychoactive substances before and after cheduling

Background: In recent years the recreational use of new psychoactive substances (NPS) has increased. NPS are considered a threat to public health and the main response to this threat is to make the selling and buying of these substances illegal. In Sweden, during the last 5 years, 62 new substances have been classified as narcotics but little is known of the effects of making a particular substance illegal. The aim of this work is to study how legal status influences the interest in NPS in Sweden. Methods: Forty-five thousand posts made in a Swedish Internet discussion forum (Flashback Forum) related to eight NPS (MDPV, Methylone, 4-MEC, 4-HO-MET, MXE, 6-APB, AH-7921, and 3-MMC) were used to derive time-dependent measures of interest in these substances. Intervention analyses were used to investigate the effects of legal status on the forum interest. Results: For all eight substances the activity on the forum (measured as number of posts per day) showed egislation a drastic decrease around the time of classification. The statistical analysis showed that in seven of eight cases, the drop in activity could be accounted for by the legal status of the substances. Conclusions: The legal status of the substances was shown to have a substantial effect on the interest in the substances. The novel measure used to trace the interest in particular NPS could be a useful tool to follow trends in substance use in almost real-time. © 2015 Elsevier Ireland Ltd. All rights reserved.
Diversity of Microbial Communities in Production and Injection Waters of Algerian Oilfields Revealed by 16S rRNA Gene Amplicon 454 Pyrosequencing

The microorganisms inhabiting many petroleum reservoirs are multi-extremophiles capable of surviving in environments with high temperature, pressure and salinity. Their activity influences oil quality and they are an important reservoir of enzymes of industrial interest. To study these microbial assemblages and to assess any modifications that may be caused by industrial practices, the bacterial and archaeal communities in waters from four Algerian oilfields were described and compared. Three different types of samples were analyzed: production waters from flooded wells, production waters from non-flooded wells and injection waters used for flooding (water-bearing formations). Microbial communities of production and injection waters appeared to be significantly different. From a quantitative point of view, injection waters harbored roughly ten times more microbial cells than production waters. Bacteria dominated in injection waters, while Archaea dominated in production waters. Statistical analysis based on the relative abundance and bacterial community composition (BCC) revealed significant differences between production and injection waters at both OTUs0.03 and phylum level. However, no significant difference was found between production waters from flooded and non-flooded wells, suggesting that most of the microorganisms introduced by the injection waters were unable to survive in the production waters. Furthermore, a Venn diagram generated to compare the BCC of production and injection waters of one flooded well revealed only 4% of shared bacterial OTUs. Phylogenetic analysis of bacterial sequences indicated that Alpha-, Beta- and Gammaproteobacteria were the main classes in most of the water samples. Archaeal sequences were only obtained from production wells and each well had a unique archaeal community composition, mainly belonging to Methanobacteria, Methanomicrobia, Thermoprotei and Halobacteria classes. Many of the bacterial genera retrieved had already been reported as degraders of complex organic molecules and pollutants. Nevertheless, a large number of unclassified bacterial and archaeal sequences were found in the analyzed samples, indicating that subsurface waters in oilfields could harbor new and still-non-described microbial species.
High efficiency nanostructured thin film solar cells for energy harvesting

Thin-film III-V materials are an attractive candidate material for solar energy harvesting devices capable of supplying portable and mobile power in both terrestrial and space environments. Nanostructured quantum well and quantum dot solar cells are being widely investigated as a means of extending infrared absorption and enhancing photovoltaic device performance. In this paper, we will review recent progress on realizing high-voltage InGaAs/GaAs quantum well solar cells that operate at or near the radiative limit of performance. These high-voltage nanostructured device designs provide a pathway to enhance the performance of existing device technologies, and can also be leveraged for next-generation solar cells.
A randomised double blind placebo controlled phase 2 trial of adjunctive aspirin for tuberculous meningitis in HIV-uninfected adults

Adjunctive dexamethasone reduces mortality from tuberculous meningitis (TBM) but not disability, which is associated with brain infarction. We hypothesised that aspirin prevents TBM-related brain infarction through its anti-thrombotic, anti-inflammatory, and pro-resolution properties. We conducted a randomised controlled trial in HIV-uninfected adults with TBM of daily aspirin 81 mg or 1000 mg, or placebo, added to the first 60 days of anti-tuberculosis drugs and dexamethasone (NCT02237365). The primary safety endpoint was gastro-intestinal or cerebral bleeding by 60 days; the primary efficacy endpoint was new brain infarction confirmed by magnetic resonance imaging or death by 60 days. Secondary endpoints included 8-month survival and neuro-disability; the number of grade 3 and 4 and serious adverse events; and cerebrospinal fluid (CSF) inflammatory lipid mediator profiles. 41 participants were randomised to placebo, 39 to aspirin 81 mg/day, and 40 to aspirin 1000 mg/day between October 2014 and May 2016. TBM was proven microbiologically in 92/120 (76.7%) and baseline brain imaging revealed ≥1 infarct in 40/114 (35.1%) participants. The primary safety outcome occurred in 5/36 (13.9%) given placebo, and in 8/35 (22.9%) and 8/40 (20.0%) given 81 mg and 1000 mg aspirin, respectively (p=0.59). The primary efficacy outcome occurred in 11/38 (28.9%) given placebo, 8/36 (22.2%) given aspirin 81 mg, and 6/38 (15.8%) given 1000 mg aspirin (p=0.40). Planned subgroup analysis showed a significant interaction between aspirin treatment effect and diagnostic category (Pheterogeneity = 0.01) and suggested a potential reduction in new infarcts and deaths by day 60 in the aspirin treated participants with microbiologically confirmed TBM (11/32 (34.4%) events in placebo vs. 4/27 (14.8%) in aspirin 81 mg vs. 3/28 (10.7%) in aspirin 1000 mg; p=0.06). CSF analysis demonstrated aspirin dose-dependent inhibition of thromboxane A2 and upregulation of pro-resolving CSF protectins. The addition of aspirin to dexamethasone may improve outcomes from TBM and warrants investigation in a large phase 3 trial.