Miracle-dz/UniFAR-FTUs huggingface dataset:
Common sport activity recognition using inertial sensor

This paper aims to identify common sport activity recognition by using inertial sensor. Various classifiers from the Classification Learner App in MATLAB is used to recognize the common sport activity. In data collection, 10 subjects are asked to perform several common sport activities which is stationary, walking, jogging, sprinting, and jumping. The data is collected by using Physilog® 4 Silver which is an inertial sensor from Gait Up that is attached to the chest of the subject using strap. 3D accelerometer and gyroscope data from inertial sensor is observed and processed in this study. To recognize the common sport activity from the data, time-domain features such as mean, standard deviation, maximum and minimum value is extracted from the signal produced by inertial sensor. After that, the data is trained using the selected features and 10-fold cross validation is applied to set the training and testing data. The confusion matrix and accuracy result from each classifier is observed. In conclusion, Support Vector Machine with Cubic SVM is selected as the best model in recognizing common sport activity as it produced the highest accuracy, 91.2% in the confusion matrix. This classifier performance outperforms other classifiers in detecting five types of common sport activity from the data collected.
A stochastic resource planning scheme for PHEV charging station considering energy portfolio optimization and price-responsive demand

PHEV charging station is playing a critical role in the rapid development of plug-in hybrid electric vehicles (PHEV). The unique characteristics of charging demands provide flexibility for the resource planning of PHEV charging station while its internal generation resources and procurement decisions from utility grid offer various options to meet the charging demand. To achieve the maximum benefits while managing the associated risk, the operator of PHEV charging station should optimally schedule those resources on both supply and demand sides. In this paper, a stochastic resources planning scheme for PHEV charging stations are proposed while two types of PHEV charging loads, including price-responsive commercial charging customers and the contracted controllable charging fleets, are taken into account. Energy supply decisions on energy procurement in multiple markets and internal generation scheduling are co-optimized with demand side decisions on charging service pricing and controllable demands allocation. The uncertainties from spot market price and availability of renewable generations are considered in the proposed model. Numerical case study is also provided to illustrate the effectiveness of the proposed scheme.
Selective dwell frequency hopping using quasigroups

In this paper we mathematically consider a different concept of communication to that traditionally found in past frequency hopping research. We consider a multi-user communication system that operates over a fixed set of frequency channels with a large population of recipients in which we have binary trust. Specifically, a subset of recipients are deemed untrustworthy but with whom we maintain a self-interest in communicating. We therefore do not wish to share our frequency hopping sequence with those recipients but instead share a single frequency channel over which all subsequent communication with a recipient is maintained. To achieve this objective, we consider the case where the transmitter needs to selectively dwell on a channel for multiple, sequential time slots of a frequency hopping sequence, interleaved with traditional channel hopping of other users. We assume an adversary is present in the environment, intent on jamming the communication channels. We propose a novel solution that exploits permutation group properties within isotopy classes of quasigroups. Through the exponential growth of isotopy class enumeration with increasing, modest orders of quasigroups, the solution offers security through a proposed oneway function. The solution also achieves optimality with respect to theoretical bounds.
Diffusion in randomly perturbed dissipative dynamics

Dynamical systems having many coexisting attractors present interesting properties from both fundamental theoretical and modelling points of view. When such dynamics is under bounded random perturbations, the basins of attraction are no longer invariant and there is the possibility of transport among them. Here we introduce a basic theoretical setting which enables us to study this hopping process from the perspective of anomalous transport using the concept of a random dynamical system with holes. We apply it to a simple model by investigating the role of hyperbolicity for the transport among basins. We show numerically that our system exhibits non-Gaussian position distributions, power-law escape times, and subdiffusion. Our simulation results are reproduced consistently from stochastic continuous time random walk theory.
reporter assay Use of transcriptional synergy to augment sensitivity of a splicing

A primary limitation in the development and use of screens to identify factors that regulate mammalian pre-mRNA splicing has been the development of sensitive reporter assays. Alternative splicing typically involves relatively small (< 10-fold) changes in isoform ratios. Therefore, reporter constructs designed to allow direct analysis of isoform expression historically have at most a 10-fold window of discrimination between a positive signal and background. Here we describe the design and application of a reporter cell line that makes use of the phenomenon of transcriptional synergy to amplify the detection of changes in splicing, such that a threeto five-fold change in splicing pattern is observed as a 30to 50-fold change in GFP expression. Using this cell line we have identified two small molecules, from a library of approximately 300 synthetic compounds, that can induce partial repression of a variable exon from the CD45 gene. We propose that the concept of transcription-based amplification of signal will allow the development of true high-throughput screening approaches to identify effectors of mammalian alternative splicing.
Active and Passive Vegetated Surface Models With Rough Surface Boundary Conditions From NMM3D

In this paper, we derive an expression of the brightness temperatures of a vegetated surface based on the tau-omega model with the rough surface boundary condition that replaces the conventional exp(-h) model by NMM3D (Numerical Simulations of 3D Maxwell equations). A purpose of the paper is that the same physical rough surface scattering model based on NMM3D and the same physical parameters of rms heights and correlation lengths can be used for both passive and active remote sensing of the same scene of vegetated surfaces. The bistatic scattering of rough surfaces are decomposed into the coherent wave and the co-polarization and the cross-polarization of the incoherent waves to quantify the contribution of each of these components. Numerical results are illustrated for a variety of roughness conditions. Comparisons are made with the exp(-h) model. Results are compared with the experimental passive measurements of PORTOS 1993 for bare soil cases. Data cubes for grassland are calculated for both active and passive signatures at L band. Comparisons are then made with the L band PALS data for the grassland of SGP99 using these data cubes.
Using empirical covariance matrix in enhancing prediction accuracy of linear models with Missing Information

Inference and Estimation in Missing Information (MI) scenarios are important topics in Statistical Learning Theory and Machine Learning (ML). In ML literature, attempts have been made to enhance prediction through precise feature selection methods. In sparse linear models, LASSO is well-known in extracting the desired support of the signal and resisting against noisy systems. When sparse models are also suffering from MI, the sparse recovery and inference of the missing models are taken into account simultaneously. In this paper, we will introduce an approach which enjoys sparse regression and covariance matrix estimation to improve matrix completion accuracy, and as a result enhancing feature selection preciseness which leads to reduction in prediction Mean Squared Error (MSE). We will compare the effect of employing covariance matrix in enhancing estimation accuracy to the case it is not used in feature selection. Simulations show the improvement in the performance as compared to the case where the covariance matrix estimation is not used.
Food fights in house crickets, Acheta domesticus, and the effects of body size and hunger level

Animals often compete directly with conspecifics for food resources, and fighting success can be positively related to relative resource-holding power (RHP) and relative resource value (i.e., motivation to fight). Despite the ease of manipulating resource value during fights over food (by manipulating hunger levels), most studies have focused on male fighting in relation to gaining access to mates. In this study, pairwise contests over single food items were used to examine the effects of being the first to acquire a resource, relative body mass, relative body size (femur length), and relative level of food deprivation (i.e., hunger) on competitive feeding ability in male and female house crickets, Acheta domesticus. Only when the food pellet was movable did acquiring the resource first improve fighting success. When the pellet was fastened to the test arena, increased relative hunger level and high relative body mass both increased the likelihood of a takeover. However, the effects of body mass disappear.
Rivaroxaban for secondary stroke prevention in patients with embolic strokes of undetermined source: Design of the NAVIGATE ESUS randomized trial

Background Embolic strokes of undetermined source comprise up to 20% of ischemic strokes. The stroke recurrence rate is substantial with aspirin, widely used for secondary prevention. The New Approach riVaroxaban Inhibition of Factor Xa in a Global trial versus ASA to prevenT Embolism in Embolic Stroke of Undetermined Source international trial will compare the efficacy and safety of rivaroxaban, an oral factor Xa inhibitor, versus aspirin for secondary prevention in patients with recent embolic strokes of undetermined source. Main hypothesis In patients with recent embolic strokes of undetermined source, rivaroxaban 15 mg once daily will reduce the risk of recurrent stroke (both ischemic and hemorrhagic) and systemic embolism (primary efficacy outcome) compared with aspirin 100 mg once daily. Design Double-blind, randomized trial in patients with embolic strokes of undetermined source, defined as nonlacunar cryptogenic ischemic stroke, enrolled between seven days and six months from the qualifying stroke. The planned sample size of 7000 participants will be recruited from approximately 480 sites in 31 countries between 2014 and 2017 and followed for a mean of about two years until at least 450 primary efficacy outcome events have occurred. The primary safety outcome is major bleeding. Two substudies assess (1) the relative effect of treatments on MRI-determined covert brain infarcts and (2) the biological underpinnings of embolic strokes of undetermined source using genomic and biomarker approaches. Summary The New Approach riVaroxaban Inhibition of Factor Xa in a Global trial versus ASA to prevenT Embolism in Embolic Stroke of Undetermined Source trial is evaluating the benefits and risks of rivaroxaban for secondary stroke prevention in embolic strokes of undetermined source patients. Main results are anticipated in 2018.
Impedance Measurement and Characterization of Ag-Ge30Se70-Based Programmable Metallization Cells

Chalcogenide glass-based programmable metallization cell (PMC) devices undergo Ag+-ion transport and controlled resistance change under the application of electrical bias. In this paper, photo-doped PMC devices are characterized with impedance spectroscopy. Photo doping is an important step in PMC fabrication as it introduces the mobile Ag into the electrolyte and, therefore, has a significant effect on device characteristics. Data obtained from measurements on devices with different areas in both their high resistance state (HRS) and low resistance state (LRS) are used to parameterize equivalent circuit models. The models elucidate the differences in the HRS and LRS electrical properties.
A new system of alternate current motors and transformers

In this classic paper presented at an AlEE meeting on May 16, 1888, Nikola Tesla outlined some of the potential advantages of a revolutionary alternating-current power system that would largely supplant the older direct-current system developed by Thomas Edison following a short struggle known as the “battle of the systems. ” Additional details of the new system were contained in a group of US. patents that were issued to Tesla approximately two weeks before he gave this paper. Thomas C. Martin, chairman of the AlEE committee on papers, later wrote that he had experienced great difficulty in persuading Tesla to present the paper and that it had been written in haste the night before the meeting. The Tesla system was exhibited at the Columbian Exposition held in Chicago in 1893 and was used in the historic hydroelectric power project at Niagara Falls that provided a convincing demonstration of the advantages of a universal polyphase power system. The Tesla alternating-current motor became a versatile work horse of industry and household appliances.
Serological markers for monitoring disease progression in noncirrhotic primary biliary cirrhosis on ursodeoxycholic acid therapy

Background/Aim: Liver biopsy has so far been the only method to accurately follow the progression of primary biliary cirrhosis (PBC). The stage and the severity of lymphocytic piecemeal necrosis (LPN) have been shown to be an independent factor for the development of cirrhosis. In this 3‐year prospective study, we evaluated the diagnostic value of several liver function tests, surrogate markers of fibrogenesis, hyaluronic acid (HA), procollagen III N‐terminal peptide (S‐PIIINP), cholestanol and plant sterols in noncirrhotic PBC patients treated with ursodeoxycholic acid (UDCA) or with UDCA and budesonide to assess the stage, inflammation and fibrosis.
On Nonuniform Transient Electromagnetic Field Coupling to Overhead Transmission Lines

Transient electromagnetic fields can couple to overhead power transmission and distribution lines, causing damage to the connected equipment. In real cases, incident electromagnetic fields exhibit different spatial and temporal waveform distributions along the line. Normally, to ensure the accuracy of the simulation results, a large number of observation points are needed along the line, which is difficult to obtain. This paper proposes a new approach to address this problem. The proposed approach is based on Agrawal et al.’s coupling model, in which the amplitude and phase distributions of the horizontal exciting electric field along the line are, respectively, represented by the Fourier series and polynomial functions in the frequency domain using two kinds of least squares methods. As a result, the source terms along the line can be accurately evaluated starting from a limited number of observation points. The proposed approach has been validated experimentally.
An Improved Transmission Rate Achievement in Cooperative Communication System Based on OFDM

Recently, cooperative system is an interesting issue in com- munication systems. Single mobile antenna can have transmission diver- sity gain by the cooperative system as multiple input multiple output (MIMO) system. However, the most of the cooperative systems have a problem about the transmission rate loss. In this paper, hierarchical modulation is proposed in order to solve the transmission rate-loss in the cooperative system.
Design of a 2.4-GHz 2.2-mW CMOS RF receiver front-end for BLE applications

A sliding-IF RF receiver front-end is designed in 65 nm CMOS general process for Bluetooth low-energy applications. For low power consumption, the receiver front-end circuits are designed with a 1-V supply voltage. Simulations show that the receiver has a 55.5 dB full-path maximum gain, and −43.5 dBm input-referred P1dB while dissipating only 2.2 mW. At the maximum gain, the noise figure is 3.2 dB, which corresponds to the sensitivity of −98.8 dBm when the minimum required SNR of a demodulator is 12 dB.
A study on conference system with 3DCG using digital pen and dot screen

A conference system with three-dimensional computer graphics using a digital pen and a dot screen is proposed. Our digital pen reads extremely tiny dots printed on a whiteboard and it is possible to input our handwriting into computers. Three-dimensional computer graphics is projected on the screen with a projector, and handwriting in the graphics model can be perform in our system. We also discuss how to fill in texts to the models by annotation; multimedia information addition; measurement of distance and area. For example, our system is useful for medical conference with some doctors.
Molecular corridors and kinetic regimes in the multiphase chemical evolution of secondary organic aerosol

Abstract. The dominant component of atmospheric, organic aerosol is that derived from the oxidation of volatile organic compounds (VOCs), so-called secondary organic aerosol (SOA). SOA consists of a multitude of organic compounds, only a small fraction of which has historically been identified. Formation and evolution of SOA is a complex process involving coupled chemical reaction and mass transport in the gas and particle phases. Current SOA models do not embody the full spectrum of reaction and transport processes, nor do they identify the dominant rate-limiting steps in SOA formation. Based on molecular identification of SOA oxidation products, we show here that the chemical evolution of SOA from a variety of VOC precursors adheres to characteristic "molecular corridors" with a tight inverse correlation between volatility and molar mass. The slope of these corridors corresponds to the increase in molar mass required to decrease volatility by one order of magnitude (-dM / dlogC0). It varies in the range of 10–30 g mol−1, depending on the molecular size of the SOA precursor and the O : C ratio of the reaction products. Sequential and parallel reaction pathways of oxidation and dimerization or oligomerization progressing along these corridors pass through characteristic regimes of reaction-, diffusion-, or accommodation-limited multiphase chemical kinetics that can be classified according to reaction location, degree of saturation, and extent of heterogeneity of gas and particle phases. The molecular corridors and kinetic regimes help to constrain and describe the properties of the products, pathways, and rates of SOA evolution, thereby facilitating the further development of aerosol models for air quality and climate.
Carrageenan Safety

There is no confusion regarding the safety of carrageenan. Carrageenan is a safe and natural fiber extracted from seaweed [1]. It is an indigestible polysaccharide that is commonly used in foods as a natural thickening, gelling, and stabilizing agent. It is used as a gelling agent in our vegetarian softgels and On Guard Toothpaste. Carrageenan-containing softgel capsules are the only stable vegetarian alternatives to animal-sourced softgel capsules. Seaweed and seaweed fiber have a long history of safe use in foods, are used extensively throughout the world, and have well-established safety records supported by numerous clinical studies. Carrageenan is GRAS (Generally Recognized As Safe) in the United States and is approved for topical use and in foods. Carrageenan safety has been evaluated in numerous studies and it is considered safe for use as a food additive by regulatory agencies worldwide [1], including the Joint World Health Organization and Food and Agriculture Organization Expert Committee on Food Additives.
Research on Underwater Robot Recognition

The underwater robot fish needs to keep shaking the tail fin to move, but the wave of the water is very difficult to be predicted, in which the robot fish will show different shape. This paper proposes to use of Histogram of Oriented Gradient method for image feature extraction, and then use the genetic algorithm method to optimize the parameters of the support vector machine. We use the parameters optimized for the classification training of experimental images to recognition the robot fish.
Magnetic Recording in Patterned Media at 5–10 Tb/in$^{2}$

In this paper, the feasibility of patterned media systems able to support areal densities of 5-10 Tb/in2 is examined. The systems considered used only a conventional write head, without additional electromagnetic devices. Despite the use of a shielded head and contact recording it was impossible to discriminate reliably between bits at 10 Tb/in2 . Areal densities of around 5 Tb/in2 appear feasible, but only if geometrical and material parameter dispersions are minimized. Including such dispersions reduced the maximum areal density to around 4 Tb/in2.
Production of galactooligosaccharides and biosurfactants by Pseudozyma tsukubaensis using cassava wastewater as an alternative pre-inoculum medium

Yeasts from Pseudozyma genus are well known producers of important bioproducts, including biosurfactants and galactooligosaccharides. The objective of this study was to synthesize galactooligosaccharides, from lactose, by Pseudozyma tsukubaensis using cassava wastewater as the preinoculum medium to produce biosurfactants and β-galactosidase. P. tsukubaensis was able to grow and to produce biosurfactant on cassava wastewater, reducing the surface tension of medium to 26,09 mN/m after 36 hours in 30oC/150 rpm. Biomass production increase rapidly within 36 h of growth, and reached the maximum biomass weight in culture (2.55 g/L) at 48 h. The transgalactosylation activity of the yeast cells from 40% (w/w) lactose resulted in a maximum galactooligosaccharides production of 71,1 g/L and a yield of 17,78% (w/w) at pH 8,0 and 30oC in 24 hours. The results obtained in this study demonstrate for the first time the potential of P. tsukubaensis to produce galactooligosaccharides from lactose and its ability to growth in cassava wastewater producing biosurfactants in this medium. More research has been done to evaluate and optimize this process.
Road watch radar system development

Multi-mode road watch radar system has been designed and implemented using pulse Doppler and monopulse technique. This paper gives an overview of RWR system and shows the operation of the system as well as several results. The system operation modes are traffic monitoring and collision avoidance. The algorithms of traffic monitoring are MTI, CFAR, FFT, angle estimation, and tracking. IMTI, pulse integration, and change detection is applied to collision avoidance mode. The field campaign is successfully performed on test highway after validation of system performance. The performance of collision avoidance mode shows 99.9 % of detection probability and 10-3 of false alarm rate at a distance of 500 m using the reference RCS of 30×30 cm. The tests result of traffic monitoring mode show that RWR detect vehicles at 500 m and is possible to lane discrimination at about 350 m.