Miracle-dz/UniFAR-FTUs huggingface dataset:
A Lexicon-based Method to Determine Subjectivity of Unstructured Data

Twitter has become a popular micro-blogging platform for people from academicians to politicians, business-oriented people to celebrities. Business companies perform analysis for public opinions about their products and services. Likewise, politicians do it for understanding their popularity among people for their policies. Twitter provides platform to online users for sharing their opinions about certain events, news, and trends around the world. Thus, leading to generation of massive unstructured data (i.e., textual data). This paper presents determination of subjectivity (i.e., opinions) embedded in unstructured data by means of lexicon-based method. The study considered three different datasets: 1) Dataset1 â crawled from Twitter based on certain topics, 2) Dataset2 â user reviews about three websites (imdb.com, amazon.com, yelp.com) and 3) Dataset3 - review comments about research articles reviewed by experts. The Dataset2 and Dataset3 also contained expert opinions; therefore, subjectivity of these datasets has been compared with expert opinions to validate the applied method. The outcomes showed significant potential and effectiveness of the lexicon-based method.
A Twin Prediction Method Using Facial Recognition Feature

The high similarity between identical twin is known to be a great challenge for Face Recognition Technology. As Face Recognition Technology handles identification and the verification of identity claim of a person, it is really important to have a method which can overcome identical twin problem. In this research, we try to demonstrate a model which can predict and compare identical twin. In this method, we used histogram, RGB colors to find the best criteria for matching for initial stage. Later, we used GLCM method, which measures the texture of the images that are used for twin prediction. In the experimental part, we tested our proposed model with different twin dataset and experimental results show very good performance in twin prediction.
Integrated Dual-Output L-Z Source Inverter for Hybrid Electric Vehicle

A single-stage converter simultaneously supplying the power to dc and ac load is an interesting solution. Cost saving, better efficiency, and independent control of both outputs (in a restricted range) are the key features achieved in a single-stage converter. Switched boost, boost, and L-Z source inverter (LZSI)-derived hybrid converters are the potential solutions reported in the literature. These converters have a restricted range of controlling the output voltage independently. To widen the range of independent control, this paper presents a three-winding mutually coupled inductor-based LZSI. Initially, this topology is developed as a dc–dc converter, which is further extended for hybrid output applications. Though the duty cycle is varied in the range of 0 < D < 1, the gain achieved using this topology is higher than its counterparts. The gain of the proposed inverter is derived analytically and validated experimentally. To investigate the characteristics of the inverter, the open-loop transfer function is derived, which is further utilized to design the closed-loop control. The theoretical design of closed loop is validated experimentally.
Variation of Transmission Characteristics with Ring Geometry in Plasmonic Add-Drop Ring Resonators

Plasmonic add-drop ring resonator configurations in the nanometer scale with different geometric shapes for the ring are proposed. Using known material modelling techniques, a simulation model is developed using the finite-difference time-domain (FDTD) method to calculate the transmission efficiency of these structures at different wavelengths. The effect of increasing coupling distance between the input waveguide and ring on the transmission efficiency is also simulated and analyzed. It has been observed that the add-drop ring resonators with round-edge square ring and elliptical ring both show higher transmission efficiency than the common circular ring design. Moreover, increasing the coupling distance causes a significant reduction in transmission efficiency for each design. Analysis of the transmission characteristics of the different geometric configurations will allow us to compare their suitability for use as filters, biosensors and other optical applications.
A Hybrid Ray and Graph Model for Simulating Vehicle-to-Vehicle Channels in Tunnels

Wave propagation in tunnels for vehicle-to-vehicle (V2V) communications scenarios is characterized by multiple diffuse reflections on tunnel surfaces as well as specular reflections on other objects inside the tunnel, leading to a nonstationary fading process. Such a fading process is difficult to model by ray tracing (RT), requiring a prohibitively high computational complexity due to the large number of diffuse reflections. In this paper, we propose two new ideas for modeling diffuse reflections in nonstationary scenarios: 1) We partition the nonstationary fading process into multiple stationarity regions with a given extent in time and frequency for which approximate wide-sense stationarity can be assumed; 2) we propose a hybrid model, tightly interlinking RT with a propagation graph, such that vertices for the propagation graph are obtained from interaction points calculated by RT for each stationarity region. We compare our hybrid model with measurement data in terms of the time-variant power-delay and the Doppler-power spectral-density as well as the root-mean square delay- and Doppler-spread. This analysis shows, that our hybrid model is the first numerical simulation model that is able to model diffuse reflections inside a tunnel with correct nonstationary (i.e., time-variant) temporal correlation for a nonstationary V2V communication link.
A Strategy for Flexible Frequency Operation of Stand-Alone Multimicrogrids

Supply and demand balance is required to assure normal operation in microgrids. Especially, in stand-alone microgrid operation, load shedding is inevitable to meet the balance. In order to enhance the reliability of stand-alone microgrids, deployment of suitable sized controllable distributed generators is required, which results in an increase of investment cost. Therefore, a tradeoff between economical investment and reliable operation is required. In stand-alone multimicrogrid (MMG) system, the reliability can be improved by cooperative operation. However, solving the tradeoff is still a challenging problem. In this paper, an operation strategy is proposed for MMG systems where each microgrid has different frequency requirement according to load configurations to improve reliability from the economical viewpoint. A hierarchical energy management system is developed to implement the proposed strategy for MMGs operation. The validity of the proposed method is evaluated by using hardware-in-the-loop simulation. Test results showed the effectiveness for reducing load shedding and operation cost of MMG systems.
The effects of following celebrities’ lives via SNSs on life satisfaction: The palliative function of system justification and the moderating role of materialism

Social media increases opportunities to glimpse celebrities’ glamorous lifestyles and to interact with celebrities. This study examines how the use of social networking sites (SNSs) for celebrity-related information and interactions influences users’ life satisfaction. Data analysis demonstrates that celebrity-related SNS activities decrease users’ life satisfaction by increasing relative deprivation through comparison with celebrities. However, the comparison also leads to system justification, serving a palliative function to cope with the potentially negative consequences of such comparisons, which in turn increases life satisfaction. Interestingly, materialism moderates the relationship such that the effects of comparison with celebrities on system justification are observed only among SNS users who hold high materialism values. Also, the direct positive effects of celebrity-related SNS use on life satisfaction are stronger for those with high materialistic values than for those with low materialistic values. The multifaceted functions of celebrity-related SNS activities for life satisfaction are discussed.
Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks

We consider a multi-agent system where each agent has its own estimate of a given quantity and the goal is to reach consensus on the average. To this purpose, we propose a distributed consensus algorithm that guarantees convergence to the average in a finite number of communication rounds. The algorithm is tailored to ring networks subject to a gossip constraint. If the number of agents <inline-formula><tex-math notation="LaTeX">$m$</tex-math></inline-formula> is even, say <inline-formula><tex-math notation="LaTeX">$m=2n$</tex-math></inline-formula>, then, the number of communication rounds needed is equal to <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula>, which in this case is the diameter of the network, whereas it grows to <inline-formula><tex-math notation="LaTeX">$3n$ </tex-math></inline-formula> if the number of agents is odd and equal to <inline-formula><tex-math notation="LaTeX"> $m=2n+1$</tex-math></inline-formula>.
Online Submodular Maximization with Free Disposal

We study the online submodular maximization problem with free disposal under a matroid constraint. Elements from some ground set arrive one by one in rounds, and the algorithm maintains a feasible set that is independent in the underlying matroid. In each round when a new element arrives, the algorithm may accept the new element into its feasible set and possibly remove elements from it, provided that the resulting set is still independent. The goal is to maximize the value of the final feasible set under some monotone submodular function, to which the algorithm has oracle access. For k-uniform matroids, we give a deterministic algorithm with competitive ratio at least 0.2959, and the ratio approaches 1/α∞≈ 0.3178 as k approaches infinity, improving the previous best ratio of 0.25 by Chakrabarti and Kale (IPCO 2014), Buchbinder et al. (SODA 2015), and Chekuri et al. (ICALP 2015). We also show that our algorithm is optimal among a class of deterministic monotone algorithms that accept a new arriving element only if the objective is strictly increased. Further, we prove that no deterministic monotone algorithm can be strictly better than 0.25-competitive even for partition matroids, the most modest generalization of k-uniform matroids, matching the competitive ratio by Chakrabarti and Kale (IPCO 2014) and Chekuri et al. (ICALP 2015). Interestingly, we show that randomized algorithms are strictly more powerful by giving a (non-monotone) randomized algorithm for partition matroids with ratio 1/α∞≈ 0.3178.
Evaluation of Modern Laser Based Indoor SLAM Algorithms

One of the key issues that prevents creation of a truly autonomous mobile robot is the simultaneous localization and mapping (SLAM) problem. A solution is supposed to estimate a robot pose and to build a map of an unknown environment simultaneously. Despite existence of different algorithms that try to solve the problem, the universal one has not been proposed yet [1]. A laser rangefinder is a widespread sensor for mobile platforms and it was decided to evaluate actual 2D laser scan based SLAM algorithms on real world indoor environments. The following algorithms were considered: Google Cartographer [2], GMapping [3], tinySLAM [4]. According to their evaluation, Cartographer and GMapping are more accurate than tinySLAM and Cartographer is the most robust of the algorithms.
Density-Uniformity-Aware Analog Layout Retargeting

To enhance yield of fabricated chips, foundries normally insert dummy features to tape-out-ready layouts in order to improve pattern density uniformity. This process may unfortunately degrade the performance of analog/radio-frequency and high-speed digital integrated circuits. In this paper, we investigate the ways how to control pattern density distribution on different layers in analog layouts during the process of layout migration from an old technology to a new one or for design specification update in the same technology. We develop a new set of schemes for smartly modifying layout elements to improve pattern density uniformity besides the traditional dummy-insertion operation. The experimental results show that our proposed approach can account for up to 80% improvement toward the ideal density uniformity in the regular analog layouts. This promising option can significantly decrease the coupling-capacitance-induced parasitic effects due to the traditional sole dummy-insertion operation.
Towards Sparse and Multiplexed Acquisition of Material BTFs

We present preliminary results on our effort to combine sparse and illumination-multiplexed acquisition of bidirectional texture functions (BTFs) for material appearance. Both existing acquisition paradigms deal with a single speciﬁc problem: the desire to reduce either the number of images to be obtained while maintaining artifact-free renderings, or the shutter times required to capture the full dynamic range of a material’s appearance. These problems have so far been solved by means of data-driven models. We demonstrate that the way these models are derived prevents combined sparse and multiplexed acquisition, and introduce a novel model that circumvents this obstruction. As a result, we achieve acquisition times on the order of minutes in comparison to the few hours required with sparse acquisition or multiplexed illumination.
A Multi-Band Frequency and Pattern Reconfigurable Antenna for Wi-Fi/WiMAX and WLAN Applications : Frequency and Pattern Reconfigurable Antenna

This paper reports design and investigations on a planar multi-band frequency- and pattern- reconfigurable antenna by use of PIN diodes. The reconfiguration mechanism is achieved by changing the controlled activation of the slots placed on a circular disk which is fed by Coplanar Waveguide feed. The antenna is symmetrical along the longitudinal axis and consists of seven PIN diodes on each half of the circle cutting the longitudinal axis. A total of 15 PIN diodes are used to make the antenna operate in 7 different modes. A beam shape pattern reconfigurability is achieved by operating the antenna in all the modes. The basic antenna is a circular disk without slots and is designed to operate at 2.4GHz. Frequency reconfigurability is achieved by changing the electrical length of the slot by activating the switches in appropriate positions in different operating modes. Pattern reconfigurability is achieved by maintaining the same overall electrical length in each operating mode but changing the switch positions orient in a particular direction in each half of the circle. The investigative simulations were carried out using Ansys HFSS. The proposed antenna resonates is applicable to WiMAX, Wi-Fi, WLAN wireless services.
Energy expenditure of household activities and cardiorespiratory fitness in women with obesity

Patients with obesity experience difficulties in executing household activities. Our purpose was to compare the energy expenditure and exercise intensity of daily household activities and cardiorespiratory fitness (CRF) in women with obesity and normal weight women. Twenty‐eight non‐obese women (NO, 44.6 ± 7.2 years; body mass index [BMI] 22.1 ± 1.7 kg m−2) and 20 women with obesity (OB, 44.0 ± 7.7 years; BMI 33.4 ± 2.7 kg.m−2). Peak oxygen uptake (⩒O2peak), maximal heart rate (HR) and maximal cycling power output were measured during a maximal incremental cycling test to assess CRF. Oxygen uptake (⩒O2) used to assess CRF was measured during a standardized protocol that included ironing, cleaning floor and walking and climbing stairs. The intensity of the three household activities was expressed by the ratio between ⩒O2 during household activity (⩒O2‐activity) and resting ⩒O2, and between ⩒O2 during household activity and ⩒O2peak. ⩒O2 peak was higher in OB (1845.2 ± 290.5 mL min−1) than in NO women (1612.6 ± 250.9 mL min−1, P < 0.01). There were no significant differences for the ratio between ⩒O2‐activity and resting ⩒O2 between NO and OB women for any of the three household activities. No differences were observed either between the two groups for the ratio of ⩒O2‐activity to ⩒O2peak. In healthy women with obesity and normal CRF, physical activity (PA) may not be affected by energy need and intensity of household activities. In this way, these women can be motivated to maintain a high PA level contributing to lessen the cardiovascular risk.
Genome-Wide Identification, Molecular Evolution, and Expression Divergence of Aluminum-Activated Malate Transporters in Apples

Aluminum-activated malate transporters (ALMTs) play an important role in aluminum tolerance, stomatal opening, and fruit acidity in plants. However, the evolutionary pattern of the ALMT gene family in apples remains relatively unknown. In this study, a total of 25 MdALMT genes were identified from the apple reference genome of the “Golden Delicious” doubled-haploid tree (GDDH13). The physiological and biochemical properties, gene structure, and conserved motifs of MdALMT genes were examined. Chromosome location and gene-duplication analysis indicated that whole-genome duplication/segmental duplication played an important role in the expansion of the MdALMT gene family. The Ka/Ks ratio of duplicated MdALMT genes showed that members of this family have undergone strong purifying selection. Through exploration of the phylogenetic relationships, seven subgroups were classified, and higher old gene duplication frequency and significantly different evolutionary rates of the ALMT gene families were detected. In addition, the functional divergence of ALMT genes occurred during the evolutionary process of Rosaceae species. Furthermore, the functional divergence of MdALMT genes was confirmed by expression discrepancy and different subcellular localizations. This study provides the foundation to better understand the molecular evolution of MdALMT genes and further facilitate functional analysis to unravel their exact role in apples.
Suomi NPP VIIRS DNB and RSB M bands detector-to-detector and HAM side calibration differences assessment using a homogenous ground target

Near-nadir observations of the Libya 4 site from the S-NPP VIIRS Day-Night Band (DNB) and Moderate resolution Bands (M bands) are used to assess the detector calibration stability and half-angle mirror (HAM) side differences. Almost seven years of Sensor Data Records products are extracted from the Libya 4 site center over an area of 32×32 pixels. The mean values of the radiance from individual detectors per HAM side are computed separately. The comparison of the normalized radiance between detectors indicates that the detector calibration differences are wavelength dependent and the differences have been slowly increasing with time for short wavelength bands, especially for M1-M4. The maximum annual average differences between DNB detectors are 0.77% in 2017 at HAM-A. For the M bands, the maximum detector differences in 2017 are 1.7% for M1, 1.8% for M2, 1.3% for M3, 1.2% for M4, 0.67% for M5, 0.75% for M7, 0.57% for M8, 13% for M9, 0.63% for M10, and 0.66% for M11. The average HAM side A to B difference in 2017 are 0.00% for DNB, 0.22% for M1, 0.17% for M2, 0.15% for M3, 0.09% for M4, -0.07% for M5, 0.02% for M7, 0.01% for M8, 1.4% for M9, 0.01% for M10, and 0.03% for M11. Results for M6 are not available due to the signal saturation and M9 results are not accurate because of the low reflectance from the desert site and the strong atmospheric absorption in this channel. The results in this study help scientists better understand each detector’s performance and HAM side characteristics. Additionally, they provide evidence and motivation for future VIIRS calibration improvements.
NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task

This paper presents the NICT’s participation in the WMT18 shared parallel corpus filtering task. The organizers provided 1 billion words German-English corpus crawled from the web as part of the Paracrawl project. This corpus is too noisy to build an acceptable neural machine translation (NMT) system. Using the clean data of the WMT18 shared news translation task, we designed several features and trained a classifier to score each sentence pairs in the noisy data. Finally, we sampled 100 million and 10 million words and built corresponding NMT systems. Empirical results show that our NMT systems trained on sampled data achieve promising performance.
Hydrogen Peroxide: Its Role in Plant Biology and Crosstalk with Signalling Networks

Hydrogen peroxide (H2O2) is steadily gaining more attention in the field of molecular biology research. It is a major REDOX (reduction–oxidation reaction) metabolite and at high concentrations induces oxidative damage to biomolecules, which can culminate in cell death. However, at concentrations in the low nanomolar range, H2O2 acts as a signalling molecule and in many aspects, resembles phytohormones. Though its signalling network in plants is much less well characterized than are those of its counterparts in yeast or mammals, accumulating evidence indicates that the role of H2O2-mediated signalling in plant cells is possibly even more indispensable. In this review, we summarize hydrogen peroxide metabolism in plants, the sources and sinks of this compound and its transport via peroxiporins. We outline H2O2 perception, its direct and indirect effects and known targets in the transcriptional machinery. We focus on the role of H2O2 in plant growth and development and discuss the crosstalk between it and phytohormones. In addition to a literature review, we performed a meta-analysis of available transcriptomics data which provided further evidence for crosstalk between H2O2 and light, nutrient signalling, temperature stress, drought stress and hormonal pathways.