Miracle-dz/UniFAR-FTUs huggingface dataset:
Wearable Healthcare Monitoring Based on a Microfluidic Electrochemical Integrated Device for Sensing Glucose in Natural Sweat

Wearable sweat sensors offer the possibility of continuous real-time health monitoring of an individual at a low cost without invasion. A variety of sweat glucose sensors have been developed thus far to help diabetes patients frequently monitor blood glucose levels through sweat glucose as a surrogate marker. The present study demonstrates the development and characterization of a three-dimensional paper-based microfluidic electrochemical integrated device (3D PMED) for measuring glucose concentration in sweat in real-time via simple, non-invasive, capillary-action-based sample collection. The device was selective for glucose, and it detected glucose accurately in the clinically relevant range (0~2 mM) in an off-body setup. To the best of our knowledge, this is the first time NEXAR™ has been used for biosensing applications. Further, the developed glucose sensor has acceptable sensitivity of 16.8 µA/mM/cm2. Importantly, in an on-body setup, the device achieved a significant amperometric response to sweat glucose in a very short amount of time (a few seconds). With detailed investigations, this proof-of-concept study could help further the development of sensitive and selective sweat-based glucose sensing devices for real-time glucose monitoring in diabetes patients.
Design, Simulation, and Experimental Study on the Hydraulic Drive System of an AUV Docking Device with Multi-Degree Freedom

AUV docking devices have the ability to achieve homing of the AUV, supply the AUV with energy, and exchange data with it, thus improving the endurance and ensuring the continuous long-term and large-scale operation of the AUV. To improve the successful docking rate of the AUV, a funnel-shaped underwater docking device with multi-degree freedom based on a deep-sea platform was designed in this paper. The heading angle, pitch angle, and roller angle of the docking device could be adjusted in a timely manner according to the current flow direction and the position of the AUV. In order to realize the timely adjustment of the heading angle, pitch angle, and roll angle of the docking device, a set of underwater hydraulic systems was developed as the power source to drive the corresponding hydraulic cylinders, hydraulic motors, and other executive components. The model of the heading angle adjustment circuit of the hydraulic system was established and the open-loop transfer function of the heading angle adjustment circuit was derived. The dynamic response performance of the hydraulic circuit was simulated and the optimized PID algorithm was used to improve the dynamic response performance. Finally, the accuracy of the heading angle adjustment circuit model and the effectiveness of the control algorithm were validated by experiment of the docking device in a water pool.
A CATALOG OF QUASAR PROPERTIES FROM SLOAN DIGITAL SKY SURVEY DATA RELEASE 7

We present a compilation of properties of the 105,783 quasars in the Sloan Digital Sky Survey Data Release 7 (DR7) quasar catalog. In this product, we compile continuum and emission line measurements around the Hα, Hβ, Mg ii, and C iv regions, as well as other quantities such as radio properties, and flags indicating broad absorption line quasars, disk emitters, etc. We also compile virial black hole mass estimates based on various calibrations. For the fiducial virial mass estimates we use the Vestergaard & Peterson (VP06) calibrations for Hβ and C iv, and our own calibration for Mg ii which matches the VP06 Hβ masses on average. We describe the construction of this catalog and discuss its limitations. The catalog and its future updates will be made publicly available online.
Interacting multiple model particle filter

A new method for multiple model particle filtering for Markovian switching systems is presented. This new method is a combination of the interacting multiple model (IMM) filter and a (regularised) particle filter. The mixing and interaction is similar to that in a conventional IMM filter. However, in every mode a regularised particle filter is running. The regularised particle filter probability density is a mixture of Gaussian probability densities. The proposed method is able to deal with nonlinearities and non-Gaussian noise. Furthermore, the new method keeps a fixed number of particles in each mode, and therefore it does not suffer from the potential drawbacks of existing multiple model particle filters for Markovian switching systems.
Evaluation of Rice Degree of Milling Based on Bayesian Optimization and Multi-Scale Residual Model

Traditional machine learning-based methods for the detection of rice degree of milling (DOM) that are not comprehensive in feature extraction and have low recognition rates fail to meet the demand for fast, non-destructive, and accurate detection. This paper presents a digital image processing technology combined with deep learning to implement the classification of DOM of rice. An improved multi-scale information fusion model of the InceptionResNet–Bayesian optimization algorithm (IRBOA) was constructed based on the Inception-v3 structure and residual network (ResNet) model. It enables to automatically extract more comprehensive features of rice and determine the DOM of rice. Additionally, the important hyperparameters in the model were tuned by the BOA to optimize the recognition rate of rice DOM. The results show the hyperparameters optimized using the BOA are those that would not be chosen in manual tuning. The classification precision of the IRBOA model reached 99.22%, 94.92%, and 96.55% for well-milled, reasonably well-milled, and substandard rice, respectively, with an average accuracy of no less than 96.90%. This model improved 7.41% over the traditional machine learning model and at least 1.35% over the fashionable CNN model with strong generalization performance. This method effectively completes rapid, non-destructive, and accurate intelligent detection of rice DOM, which can supply a reliable and accurate technical mean for rice processing enterprises to guide the rice processing process.
A new method for super-resolution reconstruction using wavelet transform

In this paper, a super-resolution reconstruction algorithm based on Projection onto Convex Sets (POCS) and wavelets transform is proposed. A high resolution image, after wavelet transform, can be decomposed into two parts: approximate subband and detail subbands. Under some special conditions, the blurred low-resolution images can be thought as the wavelets transform approximate subbands of a high resolution image. Based on the above relationship, we can construct a series of convex sets and then apply the POCS method to recovering high resolution image based on the convex sets. After finite iterative computation, the desired high solution image can be obtained. The experimental results show that the algorithm has good performance in super-resolution reconstruction when the magnification is large enough.
Direct measurement of increased light intensity in optical waveguides coupled to a surface plasmon spectroscopy setup

The local increase of light intensity in waveguide structures was monitored by a combination of conventional surface plasmon spectroscopy and a dye-sensitized solar cell (DSSC). The sensitized nanoporous TiO2 layer of the DSSC served both as waveguide structure and light absorber in the DSSC. If the conditions for the excitation of guided modes in the TiO2 waveguide structure were fulfilled, increased light intensity in the porous layer was monitored by an increase of short circuit current in the DSSC. Comparison with direct illumination yields an increase of intensity by a factor of 19±6, in good agreement with transfer matrix calculations.
Hidden quantum gravity in 4D Feynman diagrams: emergence of spin foams

We show how Feynman amplitudes of standard quantum field theory on flat and homogeneous space can naturally be recast as the evaluation of observables for a specific spin foam model, which provides the dynamics for the background geometry. We identify the symmetries of this Feynman graph spin foam model and give the gauge-fixing prescriptions. We also show that the gauge-fixed partition function is invariant under Pachner moves of the triangulation, and thus defines an invariant of four-dimensional manifolds. Finally, we investigate the algebraic structure of the model, and discuss its relation with a quantization of 4D gravity in the limit GN → 0.
Substantiation and Development of Comprehensive Measures to Improve the Activities of Construction Companies

The article presents the efficiency of construction production and discusses the methods, existing approaches and improvement of management decisions to assess the level of efficiency of the resource potential of the construction company. Methodological approaches to the analysis of the processes of construction organization in market conditions to determine the interdependence of the elements of the construction organization and the hierarchy of its strategy. The economic and mathematical model of optimum use of resources by the building organization taking into account risks for a derivation of a formula of calculation of variance of profit from variances of use of resources is offered. In order to obtain an optimal plan for the use of resources, it is proposed to form an economic-mathematical model in the form of a linear programming problem and its dual problem. The solution to these problems provides an optimal resource allocation plan and dual estimates for resources. Since risks take place in market conditions, a formula for calculating the variance of profit of used resources is derived on the basis of dual valuations. The work also developed econometric models of the dependence of the values of the main economic indicators on the factors for a specific construction organization and calculated the coefficients of elasticity, which show the magnitude of each factor's impact on the indicator. Accounting records from several years and quarters were used for this purpose. The analysis of particular results has been carried out and the degrees of influence of each factor have been found, which show the directions of the factors' changes at the expense of regulation of the environment in which the building organization operates. The volume of construction product sales of a particular construction enterprise was compared with the volume of construction product sales of an average Ukrainian construction enterprise. The advantage was in favor of a particular company. The following primary factors (resources) were defined: Investments, number of employees and cost of materials.
Detecting Anomalies in Network Communities Based on Structural and Attribute Deviation

Anomaly detection in online social networks (OSNs) is an important data mining task that aims to detect unexpected and suspicious users. To enhance anomaly exploration, anomaly ranking is used to assess the degree of user anomaly rather than applying binary detection methods, which depend on identifying users as either anomalous users or normal users. In this paper, we propose a community-based anomaly detection approach called Community ANOMaly detection (CAnom). Our approach aims to detect anomalous users in an OSN community and rank them based on their degree of deviation from normal users. Our approach measures the level of deviation in both the network structure and a subset of the attributes, which is defined by the context selection. The approach consists of two phases. First, we partition the network into communities. Then, we compute the anomaly ranking score, which is composed of a community-structure-based score and an attribute-based score. Experiments on real-world benchmark datasets show that CAnom detects ground-truth groups and outperforms baseline algorithms on accuracy. On synthetic datasets, the results show that CAnom has high AUC and ROC curves even when the attribute number increases; therefore, our model is suitable for today’s applications, where the number of attributes is rising.
GENERALIZED PROPORTIONAL REDUCTION IN VARIATION MEASURE FOR TWO-WAY CONTINGENCY TABLES

For a two-way contingency table with nominal explanatory and response variables, Goodman and Kruskal (1954), and Theil (1970) proposed the measures which describe the proportional reduction in variation from the marginal distribution to the conditional distributions of the response. This paper proposes a generalization of those measures. The measure is expressed by using the Patil and Taillie’s (1982) diversity index. Special cases of the proposed measure include the Goodman and Kruskal’s and the Theil’s measures.
Varying Wave-Shape Component Decomposition: Algorithm and Applications

The decomposition problem for multiple sinusoidal component signals has been developed in the past decades. However, many complex time series are made up of wave-shape components, which invalidates signal decomposition methods based on sinusoidal components. Since wave-shape components are time-varying from one cycle to the other and often contaminated by strong noise, robustly decomposing a signal into wave-shape components is still a challenging task. In this article, a varying wave-shape component decomposition (VWCD) method is proposed to extract time-varying and weak characteristics of wave-shape components from a multicomponent signal. Specifically, instantaneous frequencies (IFs) of varying wave-shape components are no longer inter multiples of a fundamental IF allowing the VWCD method more flexible in practical applications. We propose an instantaneous amplitudes and fundamental component phases estimation method based on an intrinsic chirp signal model and a regression coefficients initialization method by a fixed wave-shape signal model. The potential and effectiveness of the proposed VWCD method are verified by some simulated signals with different signal-to-noise ratios, a real-world electroencephalography seizure signal, and an experimental chest wall vibration signal from a microwave vital sign monitoring system.
Unusual locations of Earth's bow shock on September 24–25, 1987: Mach number effects

ISEE 1 and IMP 8 data are used to identify 19 crossings of Earth's bow shock during a 30-hour period following 0000 UT on September 24, 1987. Apparent standoff distances for the shock are calculated for each crossing using two methods and the spacecraft location; one method assumes the average shock shape, while the other assumes a ram pressure-dependent shock shape. The shock's apparent standoff distance, normally ∼ 14 RE, is shown to increase from near 10 RE initially to near 19 RE during an 8-hour period, followed by an excursion to near 35 RE (where two IMP 8 shock crossings occur) and an eventual return to values smaller than 19 RE. The Alfven MA and fast magnetosonic Mms Mach numbers remain above 2 and the number density above 4 cm−3 for almost the entire period. Ram pressure effects produce the initial near-Earth shock location, whereas expansions and contractions of the bow shock due to low Mach number effects account, qualitatively and semiquantitatively, for the timing and existence of almost all the remaining ISEE crossings and both IMP 8 crossings. Significant quantitative differences exist between the apparent standoff distances for the shock crossings and those predicted using the observed plasma parameters and the standard model based on Spreiter et al.'s (1966) gasdynamic equation. These differences can be explained in terms of either a different dependence of the standoff distance on Mach number at low MA and Mms, or variations in shock shape with MA and Mms (becoming increasingly “puffed up” with decreasing MA and Mms, as expected theoretically), or by a combination of both effects. Global MHD simulations, to be presented elsewhere, confirm that both effects occur and are significant. Ram pressure-induced changes in the shock's shape are discussed but found to be quantitatively unimportant for the shock crossings analyzed. Approximate estimates of both the deviation of the shock's standoff distance from the standard model and of the shock's shape are determined independently (but not consistently) for Mms ∼ 2.4. The estimates imply substantial changes in standoff distance and/or shock shape at low MA and Mms. Mach number effects can therefore be quantitativwely important in determining and predicting the shape and location of the bow shock, even when MA and Mms remain above 2. This study confirms and generalizes previous studies of Mach number effects on Earth's bow shock. Statistical studies and simulations of the bow shock's shape and location should be performed as a function of Mach number, magnetic field orientation, and ram pressure.
Detection and Characterization of a Novel Picornavirus in European Badger (Meles meles)

Simple Summary A molecular survey was performed to investigate the gut virome of wild mustelids and sciurids found dead in Northwestern Italy. Using pan-picornavirus primer pair, we discovered a new picornavirus (PV) in the intestinal content of a European badger (Meles meles). The full-length genome of this novel strain was obtained by a sequence-independent single-primer amplification procedure in combination with Oxford Nanopore Technologies sequencing platform. On sequence analysis, the badger PV could be considered the prototype of a new species, proposed as Sakobuvirus B, classified within the still poorly characterized genus Sakobuvirus. The finding of this study poses interesting questions about the genetic diversity of these viruses, suggesting that the PV host range could be wider than expected. Abstract The recent development of unbiased metagenomic next-generation sequencing has provided a richer view of the wild animal virome making it necessary to expand the knowledge about virus diversity in wildlife, as well as to monitor their potential transmission to domestic animals or humans. In the present study, by screening collections of enteric specimens from wild animals, a novel picornavirus was identified in the intestinal content of a badger (Meles meles). By enrichment with a sequence-independent single-primer amplification (SISPA) approach and deep sequencing with Oxford Nanopore Technologies (ONT) platform, the genome sequence of a novel picornavirus strain, Badger/3A-2019/ITA, was reconstructed. On comparison based on the polyprotein sequences, the virus was distantly related (58.7% and 59.7% sequence identity at the nucleotide and amino acid level, respectively) to the feline picornavirus strain FFUP1, identified in 2012 in Portugal and classified into genus Sakobovirus within the species Sakobuvirus A. Upon phylogenetic, pairwise homology, and distance analyses performed on the P1, 2Chel, 3Cpro, and 3Dpol proteins and the complete genomic sequence, the badger picornavirus may be considered a member of a new sakobuvirus species, which we propose as Sakobuvirus B.
Sunflower Oil Flavored by Spearmint through Conventional and Ultrasound-Assisted Maceration: Differences in Oxidative Stability, Microbial Contamination and Sensory Properties

The preparation of flavored vegetable oils using spice and herb plants is considered to be an indispensable opportunity for the application of these plants. In the present exploration, sunflower oil (SFO) samples flavored by Mentha spicata L. (spearmint) were prepared using the maceration method (MM) and ultrasound-assisted maceration (UM). The antioxidant effects, sensory evaluation and the oxidative stability during accelerated storage; the physicochemical properties including the levels for acid value (AV), peroxide value (PV) and p-anisidine value (AnV); and the specific extinction values at 232 nm (K232) and 268 nm (K268) of the SFO samples were measured. The contents of beneficial ingredients including chlorophylls, carotenoids, polyphenols and tocopherols, and the micro-organism colonies for yeasts, molds, Listeria monocytogenes and Enterobacteriaceae bacteria were determined. The results show that the physicochemical properties, beneficial ingredients, antioxidant effects, sensory attributes and the oxidative stability in accelerated storage were greater in the flavored SFO sample than the control. Therefore, the SFO flavored by spearmint can be developed as flavored vegetable oils, and the ultrasound-assisted maceration can be widely employed in the preparation of flavored vegetable oils in the future.
Local well-posedness of the fifth-order KdV-type equations on the half-line

This paper is a continuation of authors' previous work [ 6 ]. We extend the argument [ 6 ] to fifth-order KdV-type equations with different nonlinearities, in specific, where the scaling argument does not hold. We establish the \begin{document}$ X^{s,b} $\end{document} nonlinear estimates for \begin{document}$ b , which is almost optimal compared to the standard \begin{document}$ X^{s,b} $\end{document} nonlinear estimates for \begin{document}$ b > \frac12 $\end{document} [ 8 , 17 ]. As an immediate conclusion, we prove the local well-posedness of the initial-boundary value problem (IBVP) for fifth-order KdV-type equations on the right half-line and the left half-line.
Phytochemical characteristics and consumer acceptability of watermelon (Citrullus lanatus) wine

Wine, a fruit-based fermented and non-distilled product, containing most of the nutrients in the raw fruit. Wine production, particularly grape wine, is one of the oldest technologies in the history of man. Other fruits such as pineapple, have been used for wine production. The research was conducted to determine the phytochemical characteristics and consumer acceptability of watermelon wine produced using four commercial Saccharomyces cerevisiae strains (Lalvin EC 1118, Lalvin QA 23, Redstar star rouge and Redstar premier classique). The data obtained on the phytochemical and free radical scavenging activities were analyzed using Tukey Pair Wise comparison at 95% confidence level for statistical difference. Sensory data was translated into means and ranked. The average mean of total phenols ranged in the young wine samples from 93.36 to 105.33 GAEmg/g) and that of the matured samples wine from 156.08 to 275.99 GAEmg/g). Flavonoids was 35.29 to 52.48 and 34.72 to 58.38 in the young and mature wines, respectively. The mean antioxidant activity and antioxidant capacity ranged between 1.28 to 13.59; 79.14 to 246.72 in the young wine samples and that of the matured wine samples 1279.93 to 1914.02 and 808.62 to 2219.37, respectively. Any of the four commercial yeast strains used in this study was suitable for watermelon winemaking. However, it evinced that the Redstar premier classique produced the most desirable sensory attributes, followed by the Lalvin EC 1118 yeast strains
Trust Based IOT Routing Attacks Detection Using Recurrent Neural Networks

Along with the recent growth of IOT applications, related security issues have also received a great attention. Various IOT vulnerabilities have been investigated so far, among which, internal attacks are the most important challenge that are mostly aimed at destroying IOT standard routing protocol (RPL). Recent studies have introduced trust concept as a practical tool for timely diagnosis and prevention of such attacks. In this paper trust evaluation is performed based on investigating the traffic flow of devices and detecting their behavior deviations in case of RPL attack scenarios, which is formulated as a sequence prediction problem and a new Trust-based RPL Attacks Detection (TRAD) algorithm is proposed using Recurrent Neural Networks (RNNs). Traffic behavior prediction based on historical behavior and deviation analysis, provides the possibility of anomaly detection, which has an enormous effect on the accuracy and predictability of attack detection algorithms. According to the results, the proposed model is capable of detecting compromised IOT nodes in different black-hole and selective-forwarding attack scenarios, just at the beginning time of the first attack, which provides the possibility of early detection and isolation of malicious nodes from the routing process.