Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF WEBSITE QUALITY, PERCEIVED BENEFITS, E-WOM, SECURITY TOWARDS ONLINE REPURCHASE INTEREST WITH TRUST AS THE MEDIATING VARIABLE

This study aims to find out whether: 1) trust mediates the influence of website quality toward repurchase interest, 2) trust mediates the influence of the perceived benefits toward repurchase interest, 3) trust mediates E-WOM's influence toward repurchase interest, 4) trust mediates security influence toward repurchase interest, in Lazada consumers in Yogyakarta. The population in this study are the locals of Yogyakarta community who had made an online purchase at Lazada. The sampling technique used purposive sampling, data was obtained by distributing online questionnaires by using google form to 116 respondents. The data analysis technique in this study is Partial Least Square using the WarpPLS 6.0 application. The results showed that: 1) trust mediated the influence of website quality toward repurchase interest, 2) trust mediated the influence of perceived benefits toward repurchase interest, 3) trust mediated E-WOM influence toward repurchase interest, 4) trust does not mediate the influence of security toward repurchase interest
Tight-Binding Photonic Molecule Modes of Resonant Bispheres

We observe coherent resonant coupling of optical whispering-gallery modes in fluorescence from dye doped polymer bispheres with diameters ranging from 2 to $5\ensuremath{\mu}\mathrm{m}$. By monitoring the frequencies of fluorescence peaks of individual spheres, we sort out two spheres with appropriate size matching and bring them into contact. Wave optics calculation also gives good agreement with the experiment. By taking into account harmonic coupling of the whispering-gallery modes, the obtained features of normal mode splitting are well explained by the tight-binding photon picture.
A novel predictive analytics score reflecting accumulating disease burden—an investigation of the cumulative CoMET score

Objective. Predictive analytics tools variably take into account data from the electronic medical record, lab tests, nursing charted vital signs and continuous cardiorespiratory monitoring to deliver an instantaneous prediction of patient risk or instability. Few, if any, of these tools reflect the risk to a patient accumulated over the course of an entire hospital stay. Approach. We have expanded on our instantaneous CoMET predictive analytics score to generate the cumulative CoMET score (cCoMET), which sums all of the instantaneous CoMET scores throughout a hospital admission relative to a baseline expected risk unique to that patient. Main results. We have shown that higher cCoMET scores predict mortality, but not length of stay, and that higher baseline CoMET scores predict higher cCoMET scores at discharge/death. cCoMET scores were higher in males in our cohort, and added information to the final CoMET when it came to the prediction of death. Significance. We have shown that the inclusion of all repeated measures of risk estimation performed throughout a patients hospital stay adds information to instantaneous predictive analytics, and could improve the ability of clinicians to predict deterioration, and improve patient outcomes in so doing.
Quantitative Assessment of Serine-8 Phosphorylated β-Amyloid Using MALDI-TOF Mass Spectrometry

The study of the molecular mechanisms of the pathogenesis of Alzheimer’s disease (AD) is extremely important for identifying potential therapeutic targets as well as early markers. In this regard, the study of the role of post-translational modifications (PTMs) of β-amyloid (Aβ) peptides is of particular relevance. Serine-8 phosphorylated forms (pSer8-Aβ) have been shown to have an increased aggregation capacity and may reflect the severity of amyloidosis. Here, an approach for quantitative assessment of pSer8-Aβ based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is proposed. The relative fraction of pSer8-Aβ was estimated in the total Aβ-pool with a detection limit of 1 fmol for pSer8-Aβ (1–16) and an accuracy of 2% for measurements in the reflectron mode. The sensitivity of the developed method is suitable for determining the proportion of phosphorylated peptides in biological samples.
On solutions of differential equations tending to zero.

(1) x' = f(t, x) (' = djdt) where f : [0, oo) χ R->R is continuous and has the property that Solutions of (1) depend continuously on initial conditions. Often we will ask that f (i, 0) == 0 so that x(t) = 0 is a solution of (1) on [0, oo). In the classical theory of Liapunov's direct method, for a continuously differentiable function F: [0, oo) χ [0, oo), where S is a neighborhood of the origin in /? , one definesF' = grad F · f H—^—, so that if x(t) is a solution d of (1) then-^F(f,z(0)= V'(t,x(t)). If V is positive definite and V <£ 0, then the
A Diffusion Equation with Exponential Nonlinearity Recant Developments

The purpose of this paper is to analyze in detail a special nonlinear partial differential equation (nPDE) of the second order which is important in physical, chemical and technical applications. The present nPDE describes nonlinear diffusion and is of interest in several parts of physics, chemistry and engineering problems alike. Since nature is not linear intrinsically the nonlinear case is therefore the general. We determine the classical Lie point symmetries including algebraic properties whereas similarity solutions are given as well as nonlinear transformations could derived. In addition, we discuss the nonclassical case which seems to be not solvable. Moreover we show how one can deduce approximate symmetries modeling the nonlinear part and we deduce new generalized symmetries of lower symmetry. The analysis allows one to deduce wider classes of solutions either of practical and theoretical usage in different domains of science and engineering.
How Many IID Samples does it Take to See all the Balls in a Box

Abstract : Suppose a box contains m balls, numbered from 1 to m. A random number of balls are drawn from the box, their numbers are noted, and the balls are then returned to the box. This is done repeatedly, with the sample sizes being iid. Let X be the number of samples needed to see all the balls. This paper derives a simple but typically very accurate approximation for EX in terms of the sample size distribution. The justification of the approximation formula uses Wald's identity and Markov-chain coupling.
Weighted vector quantization of harmonic spectral magnitudes for very low-bit-rate speech coding

Harmonic coding is a very powerful technique for the coding of speech at very low bit rates; and the efficient coding of spectral magnitudes sampled at harmonic frequencies is the key to obtaining good coded-speech quality. This paper presents a weighted vector quantization method for spectral vectors composed of a variable number of harmonic magnitudes. It is based on simple, efficient linear dimension conversion and employs a weighted distortion measure that exploits the human auditory sense. A codebook training algorithm using the weighting matrix is also presented. Finally, a low-complexity VQ codebook search technique based on pre-selection is described that reduces the computational complexity to less than 10% of that of an exhaustive search, without perceptible loss of quality. The proposed quantization scheme is used in Harmonic Vector eXcitation Coding (HVXC), which is a very low-bit-rate speech coding algorithm that combines harmonic and stochastic vector representations of LPC residual signals. Due to the high efficiency of this VQ scheme, HVXC provides good communication-quality speech at bit rates as low as 2–4 kbit/s, and was adopted as the ISO/IEC International Standard for MPEG-4 Audio.
Hearing‐related quality of life in children and adolescents in rural Alaska

This study evaluated the Hearing Environments and Reflection on Quality of Life (HEAR‐QL) questionnaire in rural Alaska, including an addendum crafted through community feedback to reflect the local context. The objectives were to assess whether HEAR‐QL score was inversely correlated with hearing loss and middle ear disease in an Alaska Native population.
The interplay between cardiac dyads and mitochondria regulated the calcium handling in cardiomyocytes

Calcium mishandling and mitochondrial dysfunction have been increasingly recognized as significant factors involved in the progression procedure of cardiomyopathy. Ca2+ mishandling could cause calcium-triggered arrhythmias, which could enhance force development and ATP consumption. Mitochondrial disorganization and dysfunction in cardiomyopathy could disturb the balance of energy catabolic and anabolic procedure. Close spatial localization and arrangement of structural among T-tubule, sarcoplasmic reticulum, mitochondria are important for Ca2+ handling. So that, we illustrate the regulating network between calcium handling and mitochondrial homeostasis, as well as its intracellular mechanisms in this review, which would be worthy to develop novel therapeutic strategy and restore the function of injured cardiomyocytes.
A differentiable exact penalty function for bound constrained quadratic programming problems

In this paper we define a continuously differentiable exact penalty function for the solution of bound constrained quadratic programming problems. We prove that there exists a computable value of the penalty parameter such that global and local minimizers of the penalty function yield global and local solutions to the original problem. This permits the construction of Newton-type algorithms based on consistents approximations of the Newton's direction of the penalty function, Conditions that ensure finite termination are established.
Polarization insensitive tunable terahertz coding metasurface based on vanadium dioxide

Coding metasurface has attracted much attention due to its flexible design of coding sequences and powerful control ability of light beams. However, the traditional coding metasurfaces with pin-diode switches between two metallic patches are usually used in the microwave band. Few studies have been carried out in the terahertz (THz) region with tunable metastructures. In order to realize the dynamic modulation of terahertz metasurface, in this paper we use the phase change material vanadium dioxide (VO2) to activate modulation coding metasurface in the terahertz band. We designed a VO2 embedded hybrid structure with metallic patches as the metasurface unit, which can produce a 180- degree phase change near 0.69 THz during the phase transition of VO2 from an insulating state to the metallic state. Meanwhile, we have constructed a metasurface array with the above designed tunable VO2 components and non-tunable metallic units to realize the dynamic switching of the far-field beam at that frequency. Our simulated results indicate that when the VO2 conductivity increases from 200 to 200000 S/m, the far-field reflected beams of the metasurface array can change from the separation of about 41° apart to close together. Notably, this coding metasurface will remain the reflectivity higher than 0.76 at the working frequency and exhibit polarization insensitive feature to the incident light. The active coding metasurface we designed provides a new idea for flexible beam control and has broad application prospects in terahertz functional devices.
Homogenization of a non‐linear degenerate parabolic problem in a highly heterogeneous periodic medium

We consider the homogenization of a time‐dependent heat transfer problem in a highly heterogeneous periodic medium made of two connected components having comparable heat capacities and conductivities, separated by a third material with thickness of the same order ε as the basic periodicity cell but having a much lower conductivity such that the resulting interstitial heat flow is scaled by a factor λ tending to zero with a rate λ=λ(ε). The heat flux vectors aj, j=1,2,3 are non‐linear, monotone functions of the temperature gradient. The heat capacities cj(x) are positive, but may vanish at some subsets such that the problem can be degenerate (parabolic–elliptic). We show that the critical value of the problem is δ=limε→0εp/λ and identify the homogenized problem depending on whether δ is zero, strictly positive finite or infinite. Copyright © 2005 John Wiley & Sons, Ltd.
Infrared observations of dust cloud structure in young R associations - NGC 1333, S68, and NGC 7129

Infrared photometry is presented from 1 to 100 microns of the major sources of luminosity in three regions of star formation which contain young B and A, but not O, stars. The reflection nebulae in all three regions are sources of 100-micron emission similar to previously observed optical reflection nebulae. All three regions also contain highly obscured sources which are often associated with radio maser activity, high-velocity gas outflows, and unusual radio continuum emission. There is a strong correlation between the occurrence of these radio phenomena and the presence of dust close enough to the central objects to radiate strongly in the 3-20 micron spectral region. These obscured sources are likely to be the pre-main-sequence counterparts to the nearby visible main-sequence stars; the obscured objects may still be undergoing mass accretion.
Monolithic integration of plasmonic waveguides into a complimentary metal-oxide-semiconductor- and photonic-compatible platform

A silicon-based plasmonic waveguide was designed and fabricated for use at telecommunications wavelengths. This waveguide is interfaced to the silicon photonics platform by use of a tapered silicon-on-insulator waveguide. Simulations indicate that this scheme excites the transverse magnetic plasmonic mode and that the electric fields are confined to the silicon-gold interface. Transmitted power is measured for several device lengths and the propagation distance and coupling efficiency are found to be 2.00 μm and 38.0%, respectively. These results demonstrate the potential for integration between silicon photonics and silicon plasmonic devices and demonstrate the ability to incorporate silicon-based plasmonic devices into complimentary metal-oxide-semiconductor electronic and photonic circuitry.
Linearization and reconstruction of nonlinear diffuse optical tomographic image

Diffuse optical tomography (DOT) is one of the ways to probe highly scattering media such as tissue using low-energy near infra-red light (NIR) to reconstruct a map of the optical property distribution. The interaction of the photons in biological tissue is a non-linear process and the phton transport through the tissue is modelled using diffusion theory. The inversion problem is often solved through iterative methods based on nonlinear optimization for the minimization of a data-model misfit function. The solution of the non-linear problem can be improved by modeling and optimizing the cost functional. The cost functional is f(x) = xTAx - bT x + c and after minimization, the cost functional reduces to Ax = b. The spatial distribution of optical parameter can be obtained by solving the above equation iteratively for x. As the problem is non-linear, ill-posed and illconditioned, there will be an error or correction term for x at each iteration. A linearization strategy is proposed for the solution of the nonlinear ill-posed inverse problem by linear combination of system matrix and error in solution. By propagating the error (e) information (obtained from previous iteration) to the minimization function f(x), we can rewrite the minimization function as f(x; e) = (x + e)TA(x + e) - bT (x + e) + c. The revised cost functional is f(x; e) = f(x) + eT Ae. The self guided spatial weighted prior (eT Ae) error (e, error in estimating x) information along the principal nodes facilitates a well resolved dominant solution over the region of interest. The local minimization reduces the spreading of inclusion and removes the side lobes, thereby improving the contrast, localization and resolution of reconstructed image which has not been possible with conventional linear and regularization algorithm.
Bibliometric review and recent advances in total scattering pair distribution function analysis: 21 years in retrospect

Abstract Global research activities have been driven by the quest to develop and characterize novel materials for technological advancements. The total scattering pair distribution function (TSPDF) is a powerful and versatile characterization technique for examining the structural details of diverse complex materials including liquid, amorphous, disordered crystalline, and nanostructured materials. Thus, it is critical to keep track of research progress, identify research gaps, and future research directions of the application of the TSPDF technique in materials development and discovery. In this work, a bibliometric analysis of literature regarding the TSPDF technique between 2000 and 2021 was conducted using datasets retrieved from the Web of Science database. The research trends based on publication outputs, research subject distribution, co-authorships among institutions, countries/regions, co-citation of referenced sources, and keyword co-occurrence are evaluated and discussed herein. The impact of the TSPDF technique is projected to increase due to its importance in probing emerging functional materials, and the advances in specialized facilities and instrumentation among the scientific communities engaged with it. Finally, current and emerging research hotspots related to TSPDF technique such as catalysis, computer modeling and simulation, pharmaceutics, machine learning, hydrogen storage, battery materials, and layered structured materials are also identified and discussed.
Statistical Analysis for Shielding Effectiveness Measurement of Materials Using Reverberation Chambers

Statistical analysis for material shielding effectiveness (SE) measurement in a nested reverberation chamber (RC) and a contiguous RC is given in this article. By using Mellin transform and the associated statistical methods, the corresponding analytical expressions of the SE are derived, respectively, for the sample material under test with good and poor electromagnetic shielding performance. Moreover, the probability density function, the expected value, and the standard deviation of SE in different scenarios using nested and contiguous RCs are obtained analytically. Monte Carlo simulation and measurements in nested and contiguous RCs are performed to verify the analytical expressions.
Facial Attributes Recognition Combined with Feature Decoupling and Static-Dynamic Joint Graph Convolutional Network

: The existing facial attributes recognition methods either use attributes grouping to extract features or calculate the attributes co-occurrence probability to construct static attributes relational graph. The former learns insufficient complementary information and it cannot determine the correlation of attributes between groups and the correlation degree between attributes. The latter may reduce the generality of the model due to the bias of occasional co-occurrence attributes pairs in face images. In order to solve the above problems, a facial attributes recognition method combined with feature decoupling and static-dynamic graph convolutional neural network is proposed. Firstly, deep convolutional neural network ResNet-50 is used to extract features containing attributes representation information. Then, a feature decoupling module is designed to learn the specific features corresponding to each attribute. Finally, the static graph and dynamic graph are combined to learn the correlation between attributes, and the one-dimensional convolution layer is used to recognize facial attributes. The average accuracy on CelebA and LFWA datasets reach 91.85% and 88.17%, respectively, which are superior to other state-of-the-art methods
NUMERICAL SIMULATIONS OF LIGHT BULLETS, USING THE FULL VECTOR, TIME DEPENDENT, NONLINEAR MAXWELL EQUATIONS

From the exact Maxwell’s equations, solutions have been obtained that are similar to light bullets [1], i.e. optical pulses that are self-supporting under the effects of diffraction, anomalous dispersion and nonlinear refraction. These pulses propagate stably, without any essential changes in shape or spectral content. For comparison, standard theory, which uses the nonlinear Schrodinger equation (NLSE), (an approximation to Maxwell’s equations), predicts [1] that under the effects of nonlinear refraction, self-focusing will lead to the collapse of optical pulses. Also, additional calculations show that when two of these pulses are counter-propagating, upon interacting, they change each others’ trajectories. These pulses are extremely small, approximately 25 fs in duration and contain about 5 wavelengths.
Pro- and Anti-Tumoral Factors Involved in Total Body Irradiation and Interleukin-2 Conditioning in Adoptive T Cell Therapy of Melanoma-Bearing Rag1 Knock-Out Mice

In adoptive T cell therapy (ACT), the transfer of tumor-specific T cells is paralleled by the conditioning regimen to increase therapeutic efficacy. Pre-conditioning depletes immune-suppressive cells and post-conditioning increases homeostatic signals to improve the persistence of administered T cells. Identifying the favorable immunological factors involved in a conditioning regimen is important to design effective strategies in ACT. Here, by using an ACT model of murine melanoma, we evaluate the effect of the total body irradiation (TBI) and interleukin-2 (IL-2) treatment combination. The use of a Rag1 knock-out strain, which lacks endogenous T cells, enables the identification of factors in a way that focuses more on transferred T cells. We demonstrate that the TBI/IL-2 combination has no additive effect in ACT, although each conditioning improves the therapeutic outcome. While the combination increases the frequency of transferred T cells in lymphoid and tumor tissues, the activation intensity of the cells is reduced compared to that of the sole TBI treatment. Notably, we show that in the presence of TBI, the IL-2 treatment reduces the frequency of intra-tumoral dendritic cells, which are crucial for T cell activation. The current study provides insights into the immunological events involved in the TBI/IL-2 combination in ACT.
Research on attack behaviour detection based on dynamic graph neural network in power IoT system

The network attacks targeted at the power system become much more complex and covert. However, traditional security protection methods cannot well detect such unknown attacks or multi-step attacks, which leads to a constant threat. How to use the massive log and warning data generated from various types of traditional security equipment to effectively detect and trace the advanced network threats becomes more and more important. "Graph" is a data structure that can better represent the power network system and thus enforcing correlation analysis on the network graph is an important detection method. This paper first reviews the graph construction methods and graph representation learning method. Furthermore Dynamic-Graph Neural Network (DGNN) based method to detect attack behavior is proposed. The experimental evaluation shows that DGNN based method can achieve better performance compared with both shallow embedding method and static-GNN method.