Miracle-dz/UniFAR-FTUs huggingface dataset:
Harmonic Analysis and Mitigation for Modern Home Appliances

Power electronic devices has improved efficiency of the home appliances. It has also incorporated energy saving at domestic level. In this paper, various home appliances are considered for harmonic analysis-voltage and current. LED(Light Emitting Diode),CPU(Central Processing Unit),EV(Electric Vehicle), laptop chargers, mobile chargers, electronic ballast, etc. are considered for harmonics analysis using Yokogawa WT-230 digital power meter. Based on this analysis, simulations of conventional rectifiers, high power factor converter and isolated resonant rectifier are done. FFT analysis of all simulations are presented with mitigation of harmonics topology.
Automatic Topic Clustering Using Latent Dirichlet Allocation with Skip-Gram Model on Final Project Abstracts

Topic model has been an elegant method to discover hidden structures in knowledge collections, such as news archives, blogs, web pages, scientific articles, books, images, voices, videos, and social media. The basic model of topic model is Latent Dirichlet Allocation (LDA) and this paper utilizes LDA to automatically cluster topics from final project abstract collection. We compare two methods, that are LDA as a unigram model and LDA with Skip-gram model. Our results are evaluated by an expert on readily available categories. Overall, words from each topic are indeed keywords describing each topic; moreover, the combination of LDA and skip-gram model are capable to capture key phrases from each topic.
N400 Repetition Effects on Olfactory Memory Learning

The present work aims at classifying the 3 different learning levels of a subject during olfactory memory learning task based on the N400 repetition effects. The paper proposes a simple feature extraction technique to detect the N400 signal from the captured electroencephalographic waveform and an Interval type-2 Fuzzy Classifier is then designed to classify the learning levels using the extracted features. The paper also proposes a way to detect the early Alzheimer and schizophrenic patients using an event-related potential named N400. Here it is shown that the repetition effect of the N400 signal is different for the Alzheimer patients and healthy person. An N400 peak is noticed for both the Alzheimer patients and the healthy person but the amplitude of the curve is different for two different cases. The other aspect of this present work reveals that the increased latency of N400 signal can help us to detect a schizophrenic patient.
EpiNet study of incidence of status epilepticus in Auckland, New Zealand: Methods and preliminary results

The EpiNet project has been commenced to facilitate investigator‐led collaborative research in epilepsy. A new Web‐based data collection tool has been developed within EpiNet to record comprehensive data regarding status epilepticus and has been used for a study of status epilepticus in Auckland, New Zealand. All patients aged >4 weeks who presented to any of the five public hospitals and the major private hospital within Auckland city (population = 1.61 million) with an episode of status epilepticus between April 6, 2015 and April 5, 2016 were identified using multiple overlapping sources of information. For this study, status epilepticus was defined as any seizure exceeding 10 minutes in duration, or repeated seizures lasting >10 minutes without recovery between seizures. Patients who had either convulsive or nonconvulsive status epilepticus were included. Episodes of status epilepticus were classified according to the 2015 International League Against Epilepsy ILAE status epilepticus classification. A total of 477 episodes in 367 patients were considered as definite or probable status epilepticus; 285 episodes (62%) lasted >30 minutes, which is the duration that has previously been used for epidemiological studies of status epilepticus.
A Radial Microfluidic Array for Studying Single-cell Ca2+ Dynamics Stimulated by Dynamic ATP Signals

A radial microfluidic array is proposed to analyze intracellular calcium dynamics in response to dynamic extracellular adenosine triphosphate (ATP) stimulation at single cell level. The microfluidic array consists of multiple single cell trapping units in radial distribution with same angle, each unit is designed by a combination of stagnation point flow and physical barrier. Cellular experimental results verified that the effectiveness of the single cell trapping and intracellular calcium dynamic behaviors in response to static or dynamic extracellular ATP stimulation.
Prevalence of low birth weight and its association with maternal body weight status in selected countries in Africa: a cross-sectional study

Objectives The present study aimed to estimate the prevalence of low birth weight (LBW), and to investigate the association between maternal body weight measured in terms of body mass index (BMI) and birth weight in selected countries in Africa. Setting Urban and rural household in Burkina Faso, Ghana, Malawi, Senegal and Uganda. Participants Mothers (n=11 418) aged between 15 and 49 years with a history of childbirth in the last 5 years. Results The prevalence of LBW in Burkina Faso, Ghana, Malawi, Senegal and Uganda was, respectively, 13.4%, 10.2%, 12.1%, 15.7% and 10%. Compared with women who are of normal weight, underweight mothers had a higher likelihood of giving birth to LBW babies in all countries except Ghana. However, the association between maternal BMI and birth weight was found to be statistically significant for Senegal only (OR=1.961 (95% CI 1.259 to 3.055)). Conclusion Underweight mothers in Senegal share a greater risk of having LBW babies compared with their normal-weight counterparts. Programmes targeting to address infant mortality should focus on promoting nutritional status among women of childbearing age. Longitudinal studies are required to better elucidate the causal nature of the relationship between maternal underweight and LBW.
Bilaterally Open Electricity Markets with High Penetration of Renewables

This paper investigates a multi-generator-multiconsumer scenario in a day-ahead electricity market with high penetration of renewable energy and price-sensitive consumers. The electricity generated by renewables will also be traded in the market. To take care of both the supply and demand sides as well as achieve a balance in between, we propose a twofolded clearing mechanism. Specifically, at the demand side, we adopt an evolutionary game to model the selection behavior of the population of consumers, while at the supply side, a distributed optimization approach is employed to maximize the profit of generators. Finally, simulation results show that the proposed mechanism converges fast to clear the market. In addition, sensitivity analyses are carried out to assess the impact from the risk tolerance of consumers.
Cyber Security of Smart Grid Infrastructure

This paper discusses the cyber security of smart grid infrastructures and substations. Understanding the impact of attacks on a smart grid communication depends on understanding the concept of cyber incident. The smart grid proposal is not only to create an energy network that works efficiently, but also contributes to the movement of clean energy use, meeting expectations when it comes to sustainability. The main goal of this article is to see how vulnerable can be a smart grid or a substation when is connected through the internet, the tests and simulation will be shown in the experimental results.
Carapace repair in the green crab, Carcinus maenas (L.)

Formation of a circular hole 8–10 mm in diameter in the calcified layers of the carapace from crabs in stage C4 of the molt cycle stimulates the tissue under and adjacent to the injury to deposit a unique calcified cuticular material below the intact membranous layer. Deposition was followed for 69 days using light microscopic histology, histochemistry, and scanning electron microscopy. Quantitative analyses of CaCO3 were conducted using atomic absorption spectrophotometry and Gran titration. Spatial distribution of CaCO3 was determined with X‐radiography. A scab is formed by day two under the injury. At four days the epithelium changes from squamous to columnar and deposits a PAS‐positive layer with an irregular lamellar fine structure, followed by highly organized lamellae structurally similar to normal exocuticle. Histochemically, however, these lamellae resemble normal endocuticle. CaCO3 is evident external to the outermost lamellae by day eleven as a fused mass of aragonite granules. The lamellar region calcifies proximally from the outer surface and is amorphous CaCO3. Repair cuticle is approximately 20%CaCO3 by weight.
loop - A Trace-based Emulator for Vehicular Ad Hoc Networks

In this paper we present loop (loop over orderly phases), a trace-based emulator for Vehicular ad hoc networks (VANETs). This is an alternative and novel method to evaluate improvements on VANET protocols, which relies and takes advantage of real data samples collected from an existing network. Those samples are vehicles’ geographical locations and radio reception events, which represent mobility and communication patterns of the VANET. From those samples, loop creates a synthetic environment to simulate and evaluate communication protocols on the target VANET. loop also includes an interactive mode to manage the emulation process and a visualization mode that shows different time and geographical-dependent aspects. The development of loop was motivated by the need of an non-intrusive methodology to intensively analyse and deterministically compare the impact of several strategies for communication protocols and all their possible variations in a realistic scenario, both in terms of mobility and radio communication opportunities. Namely, we created loop to evaluate the impact of adding security features to the routing control plane of an VANET. Since the VANET includes hundreds of vehicles, the computational performance is critical to speed-up evaluations. With loop we were able to perform complex, multi-variable performance evaluations of 24 hour periods in durations ranging from 6 up to 30 minutes.
LSU Digital Commons LSU Digital Commons An overview of extant conifer evolution from the perspective of An overview of extant conifer evolution from the perspective of the fossil record the fossil record

and conflict between dated molecular phylogenies and the fossil record. METHODS : We surveyed the current state of knowledge in conifer phylogenetics to present a new time- calibrated molecular tree that samples ~90% of extant species diversity. We compared phylogenetic relationships and estimated divergence ages in this new phylogeny with the paleobotanical record, focusing on clades that are species- rich and well known from fossils. KEY RESULTS : Molecular topologies and estimated divergence ages largely agree with the fossil record in Cupressaceae, conflict with it in Araucariaceae, and are ambiguous in Pinaceae and Podocarpaceae. Molecular phylogenies provide insights into some fundamental questions in conifer evolution, such as the origin of their seed cones, but using them to reconstruct the evolutionary history of specific traits can be challenging. CONCLUSIONS : Molecular phylogenies are useful for answering deep questions in conifer evolution if they depend on understanding relationships among extant lineages. Because of extinction, however, molecular datasets poorly sample diversity from periods much earlier than the Late Cretaceous. This fundamentally limits their utility for understanding deep patterns of character evolution and resolving the overall pattern of conifer phylogeny.
A Fully Integrated Low-Power 30 GHz Complex Dielectric Sensor in a 0.25- $\mu$m BiCMOS Technology

This paper presents an integrated low-power dielectric sensor in K-band frequencies implemented in a <inline-formula> <tex-math notation="LaTeX">$0.25\ \mu \mathrm{m}$</tex-math></inline-formula> SiGe BiCMOS process, including the sensing front-end and readout circuits. The sensor enables the measurement of both real and imaginary part of permittivity of the material under test (MUT). The MUT is exposed on the resonator component in a sensing oscillator, and the oscillator results in permittivity- and conductivity-dependent change in the output frequency and output power, respectively. The frequency information is translated into dc voltage using a frequency discriminator, and the output power is detected using a power detector. The sensor has been calibrated using iso-propanol, ethanediol, and acetone solutions. Methanol–ethanol mixture solutions, in steps of 25% of concentration change, have been used to demonstrate the functionality of the sensor. The selectivity is showed using methanol–ethanol mixtures with concentration differences of 5% around a mixture ratio of 50:50. The chip is <inline-formula> <tex-math notation="LaTeX">$2.3\ \text{mm}^{2}$</tex-math></inline-formula> in size and consumes 60 mW power. The sensor measures complex permittivity within 3.7% accuracy for the real part and 4.3% for the imaginary part. As a compact and low-power solution, the sensor is a potential candidate for minimal invasive investigations of chemicals and bio-materials at mm-wave frequencies.
Impact of Light Source Spectrum in Laboratory Test of Commercially Available Photovoltaic Panels

The output power measured during photovoltaic modules exposure to the artificial electric lighting sources significantly differs from the values that could be obtained by an equivalent exposure to solar light. The difference depends mainly on the type of photovoltaic cell used and light source. During the measurements, it should pay attention to that the spectra of individual light sources may differ from the spectral distribution of solar radiation. In this paper, the effects of the solar spectral on the photovoltaic modules performance have been presented. The results are based on indoor made measurements at different temperature of photovoltaic surface.
Vertical Use Cases in the Finnish 5G Test Network

The Finnish 5G test network (5GTN) supports development of new network technologies, and services and applications on top of these. It is developed and operated in collaboration with partners from different domains such as research, telecommunications, internet of things, software services, and data analytics. 5GTN is designed to support building products and services on top of latest and upcoming network technologies. A current example of this is exploring opportunities for new services, and impacts from 5G technologies, such as higher datarates, lower delays, and dense deployments. In this paper, we describe a set of use cases from different domain verticals, built on top of 5GTN, and the experiences so far from those use cases.
Regulation of the mitochondrial reactive oxygen species: Strategies to control mesenchymal stem cell fates ex vivo and in vivo

Mesenchymal stem cells (MSCs) are broadly used in cell‐based regenerative medicine because of their self‐renewal and multilineage potencies in vitro and in vivo. To ensure sufficient amounts of MSCs for therapeutic purposes, cells are generally cultured in vitro for long‐term expansion or specific terminal differentiation until cell transplantation. Although physiologically up‐regulated reactive oxygen species (ROS) production is essential for maintenance of stem cell activities, abnormally high levels of ROS can harm MSCs both in vitro and in vivo. Overall, additional elucidation of the mechanisms by which physiological and pathological ROS are generated is necessary to better direct MSC fates and improve their therapeutic effects by controlling external ROS levels. In this review, we focus on the currently revealed ROS generation mechanisms and the regulatory routes for controlling their rates of proliferation, survival, senescence, apoptosis, and differentiation. A promising strategy in future regenerative medicine involves regulating ROS generation via various means to augment the therapeutic efficacy of MSCs, thus improving the prognosis of patients with terminal diseases.
Masreliez-Equalized VOFDM in Non-Gaussian Channels: Power Line Communication Systems

In this paper, we derive a nonlinear equalizer for a fading channel with non-Gaussian noise. In particular, we look into the effects of non-Gaussian noise over power line channels that severely affect communication signals. Unlike most existing work based on orthogonal frequency-division multiplexing (OFDM) in the literature, we investigate the performance of vector OFDM (VOFDM) over multipath power line communication (PLC) channels contaminated with Middleton Class-A noise. To reduce the impact of impulsive noise, we propose a novel filter to equalize the output of the channel. The performance of the equalizer is evaluated in terms of bit error rate (BER), and the impact of several impulsive noise parameters are examined at the receiver. Results show that the proposed system can considerably improve the BER performance in comparison to the conventional OFDM scheme. In addition, it is shown that increasing the number of vector blocks of the VOFDM system will enhance the BER performance under the same condition. The proposed nonlinear equalizer improves the performance of VOFDM system successfully at low signal-to-noise ratios (SNRs), at some instances it nearly halved the probability of error with respect to linear filter.
Measurement of Static and Dynamic Bio- Parameters of a Person in Remote Systems for Current Psycho- Emotional and Functional State Monitoring

The paper substantiates the need to measure both static and dynamic bio-parameters of a person in remote systems for the current psycho-emotional and functional state of a dangerous object managing operators monitoring. Classification of registered bio-parameters is given. It is shown that it is expedient to use the static bio-parameters primarily for solving the problems of searching for the person's face in the frame and identifying his personality. Dynamic bio-parameters are the most informative for determining the current level of stress, fatigue, as well as assessing the available resources of the person. For registration of static and dynamic bio-parameters of a person it is proposed to use passive non-contact optical and acoustic technologies. The complex registration and processing of static and dynamic bio-parameters makes it possible to implement reliable monitoring of the current state of a hazardous object control operators.
Secure Information Exchange in Defining the Location of the Vehicle

With the advent of the electric vehicle market, the problem of locating a vehicle is becoming more and more important. Smart roads are creating, where the car control system can work without a person - communicating with the elements on the road. The standard technologies, such as GPS, can't always accurately determine the location, and not all vehicles have a GPS-module. It is very important to build an effective secure communication protocol between the vehicle and the base stations on the road. In this paper we consider different methods of location determination, propose the improved communicating protocol between the vehicle and the base station.
A Smooth Torque Control Strategy for Brushless DC Motor in Braking Operation

In braking operation, when the unipolar modulation pattern is adopted by brushless DC motor (BLDCM), there exists not only the commutation torque ripple, but also a problem concerning controllability of braking torque. This paper conducts a research into eight unipolar modulation patterns and proposes a smooth braking torque control strategy for BLDCM. First, the controllability principle of braking torque is theoretically analyzed under different modulation patterns. Then, this paper derives and compares the speed ranges of each pattern where the braking torque is controllable and the commutation torque ripple can be reduced. On this basis, according to the torque control performance of each modulation pattern in different speed ranges, an optimized combination modulation method is developed in full-speed range. During the whole braking process, the proposed control strategy ensures that the braking torque is controllable, and meanwhile the commutation torque ripple can be reduced, thus obtaining good braking torque control performance. The effectiveness of the proposed strategy is verified by experimental results.
High expression of miR‐510 was associated with CGG expansion located at upstream of FMR1 into full mutation

MicroRNAs (miRNAs) have been found to play an important role in the regulation of gene expression in eukaryotic organisms at the posttranscriptional level. More than half of miRNA genes have been recognized to be located in different fragile sites. Among them, miR‐510 was located on chromosome X in the 27.3Xq region, flanking to a fragile X site. The CGG expansion and its methylation at the promoter of FMR1 located in this fragile site were associated with clinical symptoms of fragile X syndrome (FXS). The aim of the current study was to investigate whether the miR‐510 expression was correlated with the CGG expansion of FMR1 in female carriers of full mutation. For this purpose, mesenchymal stem cells were isolated from peripheral blood of FMR1 full mutation female carriers. After differentiation of these cells into neuronal cells, the expression of miR‐510 was analyzed by quantitative polymerase chain reaction. Furthermore, the target genes of miR‐510 in the nervous system were also predicted by in silico method. The obtained results indicated that the CGG expansion of FMR1 was associated with the enhanced expression of miR‐510. Furthermore, the bioinformatics analysis suggested that VHL and PPP2R5E genes could be considered as the most important target genes of miR‐510 in the nervous system. This study showed that miR‐510 and its target genes, specifically VHL and PPP2R5E, may represent the new targets for future therapy options of FXS.
Cross Keyboard Keystroke Dynamics

Keystroke Dynamics is a biometric modality that is used for recognition of a person based on the typing rhythm on a keyboard. Keystroke Dynamics is a behavioural biometric and it is known that behaviour of a person can change when external conditions change. In most research the focus is on performance of the Keystroke Dynamics system under fixed conditions, while change of conditions has not received a lot of attention. In this paper we will specifically consider what happens if the user changes keyboards. We will focus on the performance of a system if a user enrolls using one keyboard, but then later authenticates using another type of keyboard. Our findings show that the performance of the Keystroke Dynamics system under such circumstances, in a small scale experiment, can lead to some deteriorated (of up to 8.10%) but also to a small gain (of up to 0.24 %). We found that the optimal solution is actually to create a reference based on a mixture of typing on both keyboards. Index Terms-Behavioural biometrics, keystroke dynamics, performance analysis, keyboard