Miracle-dz/UniFAR-FTUs huggingface dataset:
Query by Humming Music Information Retrieval using DNN-LSTM based Melody Extraction and Noise Filtration

Search engine technology has become a daily necessity. In terms of music search, the most effective and natural way to perform music search is to hum the song or so-called query by humming. In an experiment to improve the performance of a query by humming system, there are two things that can be done, namely using better melody extraction technique and noise filtration. Better melody extraction technique is needed so that the representation of the melody obtained from the query reflects more on the change of pitch while noise filtration is needed so that this system can work well in the real world where the queries tend to have natural noise. This research will try to implement the technique of DNN-LSTM based melody extraction and noise filtration with Fourier series decomposition and spectral subtraction in query by humming system. The system built will be compared with a query by humming system that uses melody extraction with PRAAT and without noise filtration. The results of this study indicate that the performance of the system that uses melody extraction with PRAAT and without noise filtration is still better in terms of the mean reciprocal rank value, top 1/3/5/10 hit ratio, and the required processing time.
A one-dimensional model for the transport of a sediment mixture in non-equilibrium conditions

The non-stationary one-dimensional continuity equations of each granulometric class of sediments are written for the waterstream (suspended transport), the bottom layer (bedload transport) and the mixing layer below the bottom surface. Proper closure equations have been introduced to express the transversal sediment (luxes between these three layers, accounting for the different adaptation-length of each grainsize class. A number of examples are given, showing the importance of non-equilibrium for non-uniform particles in erosion-deposition processes at short time-scale.
Removal of Cationic Dyes by Iron Modified Silica/Polyurethane Composite: Kinetic, Isotherm and Thermodynamic Analyses, and Regeneration via Advanced Oxidation Process

Emerging dye pollution from textile industrial effluents is becoming more challenging for researchers worldwide. The contamination of water by dye effluents affects the living organisms in an ecosystem. Methylene blue (MB) and malachite green (MG) are soluble dyes with a high colour intensity even at low concentration and are hazardous to living organisms. The adsorption method is used in most wastewater plants for the removal of organic pollutants as it is cost-effective, has a high adsorption capacity, and good mechanical stabilities. In this study, a composite adsorbent was prepared by impregnating iron modified silica (FMS) onto polyurethane (PU) foam to produce an iron modified silica/polyurethane (FMS/PU) composite. The composite adsorbent was utilised in batch adsorption of the cationic dyes MB and MG. The effect of adsorption parameters such as the adsorbent load, pH, initial dye concentration, and contact time were discussed. Adsorption kinetics and isotherm were implemented to understand the adsorption mechanism for both dyes. It was found that the adsorption of MB and MG followed the pseudo-second order model. The Langmuir model showed a better fit than the Freundlich model for the adsorption of MB and MG, indicating that the adsorption occurred via the monolayer adsorption system. The maximum adsorption capacity of the FMS/PU obtained for MB was 31.7 mg/g, while for MG, it was 34.3 mg/g. The thermodynamic study revealed that the adsorption of MB and MG were exothermic and spontaneous at room temperature. In addition, the regeneration of FMS/PU was conducted to investigate the composite efficiency in adsorbing dyes for several cycles. The results showed that the FMS/PU composite could be regenerated up to four times when the regeneration efficiency dropped drastically to less than 20.0%. The impregnation of FMS onto PU foam also minimised the adsorbent loss into the environment.
Three-Dimensional Automated, Machine-Learning-Based Left Heart Chamber Metrics: Associations with Prevalent Vascular Risk Factors and Cardiovascular Diseases

Background. Three-dimensional transthoracic echocardiography (3DE) powered by artificial intelligence provides accurate left chamber quantification in good accordance with cardiac magnetic resonance and has the potential to revolutionize our clinical practice. Aims. To evaluate the association and the independent value of dynamic heart model (DHM)-derived left atrial (LA) and left ventricular (LV) metrics with prevalent vascular risk factors (VRFs) and cardiovascular diseases (CVDs) in a large, unselected population. Materials and Methods. We estimated the association of DHM metrics with VRFs (hypertension, diabetes) and CVDs (atrial fibrillation, stroke, ischemic heart disease, cardiomyopathies, >moderate valvular heart disease/prosthesis), stratified by prevalent disease status: participants without VRFs or CVDs (healthy), with at least one VRFs but without CVDs, and with at least one CVDs. Results. We retrospectively included 1069 subjects (median age 62 [IQR 49–74]; 50.6% women). When comparing VRFs with the healthy, significant difference in maximum and minimum indexed atrial volume (LAVi max and LAVi min), left atrial ejection fraction (LAEF), left ventricular mass/left ventricular end-diastolic volume ratio, and left ventricular global function index (LVGFI) were recorded (p < 0.05). In the adjusted logistic regression, LAVi min, LAEF, LV ejection fraction, and LVGFI showed the most robust association (OR 3.03 [95% CI 2.48–3.70], 0.45 [95% CI 0.39–0.51], 0.28 [95% CI 0.22–0.35], and 0.22 [95% CI 0.16–0.28], respectively, with CVDs. Conclusions. The present data suggested that novel 3DE left heart chamber metrics by DHM such as LAEF, LAVi min, and LVGFI can refine our echocardiographic disease discrimination capacity.
A nonperturbative solution of the nonlinear BBGKY hierarchy for marginal correlation operators

We consider the problem of the rigorous description of nonequilibrium quantum correlations. Within the framework of an alternative approach to the description of the evolution of states of finitely many particles in terms of correlation operators governed by the von Neumann hierarchy, we derive the nonlinear quantum Bogoliubov–Born–Green–Kirkwood–Yvon (BBGKY) hierarchy for marginal correlation operators that is adopted to the description of quantum infinite‐particle systems as well. A nonperturbative solution of the Cauchy problem of the nonlinear quantum BBGKY hierarchy for marginal correlation operators is constructed. Copyright © 2013 John Wiley & Sons, Ltd.
Variance reduction in Monte Carlo simulation of electric power production costs

SYNOPTIC ABSTRACTProduction simulation models are extensively used by the electric power industry to estimate the cost of generating power. The paper proposes a Monte Carlo approach for estimating the mean and variance of electric power generation production costs. A variance reduction method for estimating the expected production cost is developed based on the observation that the mean cost does not change if the repair and failure rates of the generating units are increased by the same multiple so that their steady state unavailabilities remain unchanged. A variance reduction method using the control variate technique for estimating the standard deviation of production costs is also proposed.
Pulse width modulated control of robotic manipulators

A robust discontinuous feedback control scheme of the pulse width modulation (PWM) type is proposed for the regulation of angular positions of links in robotic manipulators. The discontinuous PWM controller design is carried out on the basis of the expected linearization approach for a suitably defined average PWM-controlled continuous model. <<ETX>>
Fullerene-doped hole transport molecular films for organic light-emitting diodes

C60-doped N,N′-bis(l-naphthyl)-N, N′-diphenyl-1, 1′-biphenyl-4, 4′-diamine(NPB) film is studied as hole injection layer between indium tin oxide (ITO) and NPB. The doped films on ITO substrates were found to be thermally stable after being annealed at temperatures up to 120°C. This was attributed to a strong interaction between NPB and C60 providing a dipole force crosslinking NPB molecules, similar to a crosslinked thermoset polymer networks. Furthermore, the C60-doped NPB p-type hole injection layers yield devices having better efficiency and low driving voltage as compared with standard devices with CuPc as the hole injection layers.
Nucleated Red Blood Cells as a Prognostic Marker in Neonatal Intensive Care Unit

Background: Nucleated red blood cells (NRBCs) are normally present in the circulation of the fetus during the intrauterine life but they disappear early in the first 10 postnatal days in healthy neonates. We aimed to assess the relations between NRBCs and the prognosis in neonatal intensive care unit (NICU). Patients and Methods: This prospective cohort study was carried out on 120 neonates admitted to Tanta University NICU from January 2021 to January 2022. Full maternal history taking, detailed history of resuscitation and complete systemic examination were done. Three samples for complete blood picture analysis & NRBCs count were taken in 1st 24 hours of admission, between 2nd -10th day, and after 10th day of admission. Results: 32 cases out of 120 cases had NRBCs beyond normal range (>10/100WBCs) in the 1st 24 hours of admission; 28 of them died (87.5%). 19 cases had NRBCs beyond normal range between the 2nd and 10th day; 17 of them died (89.5%). 31 cases had detectable NRBCs after 10th day; NRBCs 30 of them died (96.8%). There was a statistically significant positive correlation between the presence of NRBCs count above normal range and the number of deceased cases (P = 0.001). Conclusions: Nucleated red blood cells monitoring is a promising affordable marker that can predict poor prognosis in NICU.
From photonic crystals (via homogenization) to metamaterials

A very general mean-field theory is presented for a photonic crystal (either dielectric or metallo-dielectric) with arbitrary 3D Bravais lattice and arbitrary shape of the inclusions within the unit cell. The material properties are described by using a generalized conductivity at every point in the unit cell. After averaging over many unit cells for small Bloch wave vectors in comparison with the inverse of the lattice constant, we have derived the macroscopic response for the artificially structured material. In the most general case, such a response turns out to be bi-anisotropic, having terms associated with the permittivity, and permeability, and magnetoelectric tensors. We have derived explicit expressions for the four tensors in terms of the geometry and material parameters of the inclusions. Nevertheless, for a photonic crystal with inversion symmetry the magnetoelectric tensors in the bi-anisotropic constitutive relation vanish. In addition, we have verified that for cubic symmetry the system becomes bi-isotropic, being characterized by two frequency-dependent scalars, namely the permittivity and permeability. It is very important that, in general, the permittivity and permeability tensors are diagonal in different reference systems. The principal axes of the permeability tensor (unlike those of the permittivity tensor) depend on the direction of the wave vector. This necessitates the development of a new Crystal Optics for anisotropic photonic metamaterials.
The eigenvalue problem for structural systems with statistical properties.

The treatment of matrix eigenvalue problems with statistical properties is presented in a general form including correlation between matrix elements. Linear equations are formulated for the statistics of the eigenvectors as well as eigenvalues. Results are applied to dynamic systems and verified by an independent Monte Carlo simulation. Although the applications in this study are all structural systems, the theory as developed is applicable to any problem leading to similar eigenvalue equations.
An assessment by a commercial software of the accuracy of electromagnetic finite element simulators in the presence of metamaterials

Purpose – The paper's purpose is to deduce additional information on the accuracy of finite element simulators for electromagnetic problems involving effective models of metamaterials.Design/methodology/approach – The objective is achieved by solving, with a well known commercial simulator, many different configurations of two types of electromagnetic problems: a free‐space scattering by a sphere and a waveguide discontinuity problem. Such problems are known to be able to point out the difficulties of numerical simulators. On the other hand, they are representative of two important classes of problems and can provide indications on what can happen in other cases.Findings – This analysis confirms that the numerical errors can be important just in close proximity of the interface between metamaterials and standard media. Small values of loss tangents can be sufficient to obtain very accurate results. Adaptive mesh generators should not be used in the presence of negligible values of the loss tangents. For m.
Hábitos de juego y síntomas de adicción a los videojuegos en adolescentes españoles

El trastorno por uso de videojuegos ha recibido mayor atención desde su inclusión en la CIE-11. Sin embargo, apenas hay investigación en menores de edad en el contexto español. El presente trabajo tiene como objetivo de explorar los hábitos de uso de videojuegos y la sintomatología del trastorno por uso de videojuegos en esta población, así como analizar la relación entre ambos. Los hábitos fueron evaluados como la frecuencia y las horas semanales jugadas y la “Escala de adicción al juego para adolescentes” (GASA) fue aplicada a una muestra de 3748 estudiantes de entre 12 y 17 años. Los resultados mostraron que el 13,5% presentaba síntomas de juego problemático y el 3,3% una posible adicción a los videojuegos. También fue encontrada una relación entre los hábitos de juego y la presencia de síntomas de adicción. Estos resultados se comparan con los de otros estudios y se pone de manifiesto la heterogeneidad de datos disponibles en este ámbito. Además, se discuten las implicaciones de los resultados para posibles acciones preventivas llevadas a cabo por desarrolladores y familias.
FRICTION CONTROL FOR VIBRATION SUPPRESSION

Friction damping in bolted joint connections of large space structures turned out to be a major source of damping. For vibration suppression, the joints are designed such that the normal force in a frictional interface is controlled which improves the damping performance. The use of active control to vary the normal contact force in a joint by means of a piezoelectric element is explored. A model consisting of two elastic beams connected by a single active joint is considered. A friction model with velocity-dependent dynamics is used to describe the friction phenomena. A control law for friction dampers which maximises energy dissipation instantaneously by controlling the normal force at the friction interface is proposed. The effect of displacement- and velocity-induced friction dynamics is considered for the design of the control law. We arrive at a controller which prevents frictional energy stored as potential energy in a bristle model from being returned to the system.
14. Children and Adolescents: Standards of Care in Diabetes-2023.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes. org/SOC.
Mixed matrix composite PEM with super proton conductivity developed from ionic liquid modified silica nanoparticle and polybenzimidazole

Abstract Phosphoric acid (PA) leaching, low proton conductivity and weak mechanical strength of the polybenzimidazole (PBI) membrane need to be improved considerably for the development of proton exchange membrane (PEM). We have addressed these issues by preparing a mixed matrix composite (MMC) membrane comprising of oxy-polybenzimidazole (OPBI) and imidazole ionic liquid modified silica (ImILSi). Imidazolium based ionic liquid was synthesized and grafted to the surface of the silica nanoparticles (SiNP) to obtain ImILSi which further blended with OPBI to obtain OPBI@ImILSi. The uniform dispersion nature of the ImILSi in the OPBI matrix and the strong H-bonded interfacial interactions between nanofillers and polymers are found to be primary reason for significant improvement of various physical properties of the MMC. TGA, DMA and stress-strain studies exhibited significant enhancement in the thermal and mechanical properties of the MMC membranes. Most importantly, due to the loading of hydrophilic ImILSi, the MMC membranes resulted higher PA loading (∼3-fold increase) which enabled the formation of facial proton transport nanochannels for their superior proton conduction under anhydrous environment and elevated temperature. For example, the OPBI@ImILSi-3% membrane showed proton conductivity value of 0.219 S cm−1 at 160 °C which is a ∼4-fold increase compared to OPBI membrane. Graphical Abstract
A K-band Wide-Tuning-Range Low-Phase-Noise Digitally Controlled Oscillator in 22 nm FD-SOI for Automotive Radars

This paper presents a K-band differential LC digitally controlled oscillator (DCO) for long-range and short-range automotive radars. Wideband and low phase noise are therefore our main concerns. The novel back-gate-based fine-tuning structure has a fine frequency resolution of 2.1 MHz. The DCO covers the frequency band from 18.4 to 24.3 GHz, corresponding to a wide frequency tuning range (FTR) of 27.6 % The post-layout simulation results show that this DCO achieves a best-in-class phase noise (PN) lower than -110 dBc/Hz over the entire frequency range at 1 MHz frequency offset and a figure of merit considering FTR $(\mathbf{FoM}_{\mathbf{T}})$ of -196 dBc/Hz. It is implemented in an advanced 22 nm FD-SOI technology and consumes 14.4 mW from a 1.2 V supply voltage.
Quadrupole and dipole orders in URu2Si2

Exotic magnetism below TN17.5 K is studied within the level scheme where the lowest multiplet is a doublet within the 5f2 configuration. Effective g-factors of pseudo-spins with S = ½, which describe the degree of freedom of the doublet, are highly anisotropic: gx = gy = 0 for the xy-components and gz0 for the z-component. It is proposed that a recently discovered transition of first order at a critical pressure pc1.5 GPa is that between an ordered state of quadrupoles, with order parameter O(x2)-y2 or Oxy, below pc and an ordered state of dipoles, with order parameter Oz, above pc; pseudo-spins are ordered within the xy-plane below pc, and they are along the z-axis above pc. The proposal of this scenario is followed by many predictions. No static magnetic moments exist below pc. The anisotropy of Van Vleck's susceptibility within the xy-plane is of twofold symmetry corresponding to O(x2)-y2 or Oxy. What one observes by means of neutron diffraction and µSR (muon spin resonance) below pc are dynamically but slowly fluctuating magnetic moments. The softening of magnons occurs with pressures approaching pc below pc. Although static magnetic moments exist above pc, no magnon excitations can be observed there.
Ocular biometry measures and their correlation with refractive error in Aboriginal and Torres Strait Islander children

ABSTRACT Clinical relevance The ocular biometry measures of the eye determine the refractive status, and while most refractive error develops during childhood, the ocular biometry measures of Aboriginal and Torres Strait Islander children have not previously been reported. Background To investigate the ocular biometry of Aboriginal and Torres Strait Islander children, including measures important in determining refractive error and those which relate to the risk of ocular disease. Methods Participants included 252 primary and secondary school children (Aboriginal and Torres Strait Islander: 101; non-Indigenous: 151), aged between 4 and 18 years. Habitual monocular distance visual acuity, cycloplegic autorefraction, and ocular optical biometry were measured in all participants and intraocular pressure measured in secondary school children using rebound tonometry. Results The mean (±SD) spherical equivalent refractive error of Aboriginal and Torres Strait Islander children was significantly less hyperopic than non-Indigenous children (Aboriginal and Torres Strait Islander: +0.52 ± 0.80 D; non-Indigenous: +0.86 D ±0.58 D; p < 0.001). There were no differences in axial length or axial length/corneal radius ratio between the two groups, however the mean lens power of Aboriginal and Torres Strait Islander children was significantly greater than that of non-Indigenous children (Aboriginal and Torres Strait Islander: 23.62 D; non-Indigenous: 22.51 D; p < 0.001). Aboriginal and Torres Strait Islander children had a thinner central corneal thickness (Aboriginal and Torres Strait Islander: 534 ± 37 µm; non-Indigenous: 543 ± 35 µm; p = 0.04), and lower intraocular pressure compared with non-Indigenous children (Aboriginal and Torres Strait Islander: 14.7 ± 3.8 mmHg; non-Indigenous: 16.0 ± 3.7; p = 0.02). Conclusion Differences exist in the refractive error, lens power, central corneal thickness, and intraocular pressure of Aboriginal and Torres Strait Islander children compared to non-Indigenous Australian children which have potential implications for the development of refractive error and ocular disease later in life.
Radar Sea Clutter Feature Classification Based on Machine Learning

The Marine environment is complex and changeable. The classification of sea clutter and target detection are the most important parts in the signal processing of sea detection radar. A large number of researches have been carried out at home and abroad to identify radar clutter by extracting different features. Machine learning is a common method. In this paper, SVM algorithm and DNN algorithm were respectively used to classify the short-range and medium-range clutter. By taking the measured sea clutter data as the training input, three power spectral features were extracted, which achieved high detection accuracy. Considering the training sample number, operation efficiency and detection accuracy, the application scope of the two machine learning methods is compared, and it is pointed out that the machine learning is of great significance for advancing the intelligent classification and identification of sea clutter.