Miracle-dz/UniFAR-FTUs huggingface dataset:
Coherent nonlinear electromagnetic drift-mode structures

The nonlinear dynamics of an inhomogeneous plasma with hot electrons and cold ions, in the frequency range below the ion cyclotron and magnetosonic frequencies, is studied in the presence of magnetic shear. Both the finite electron mass and electron stress-tensor effects are accounted for, permiting arbitrary parallel phase velocities. A class of nonlinear travelling solutions is found, which are fully determined by the boundary conditions in the infinity, even on closed nonlinear characteristics. For the typical tokamak scaling β < (Ln/Ls)2, two different regimes are distinguished. In the shear Alfven regime, β me/mi, the solution has the form of a complex vortex chain, possessing both the magnetic and flow components, supported by a self-organized, localized plasma flow and poloidal field. In the drift-wave regime, me/mi β 1, the solution is a nonlinear electromagnetic drift wave, whose amplitude is determined by its wavelength and the angle of propagation.
Spherical resonators coated by glass and glass-ceramic films

Coating of spherical microresonators is a very promising technique for optimizing their optical properties. Optical coatings are constituted by glasses, polymer, and glass ceramics, passive or activated by luminescent species, Glass ceramic activated by rare earth ions are nanocomposite systems that exhibit specific morphologic, structural and spectroscopic properties allowing to develop interesting new physical concepts, for instance the mechanism related to the transparency, as well as novel photonic devices based on the enhancement of the luminescence. At the state of art the fabrication techniques based on bottom-up and top-down approaches appear to be viable although a specific effort is required to achieve the necessary reliability and reproducibility of the preparation protocols. In particular, the dependence of the final product on the specific parent glass and on the employed synthesis still remain an important task of the research in material science. Looking to application, the enhanced spectroscopic properties typical of glass ceramic in respect to those of the amorphous structures constitute an important point for the development of integrated optics devices, including coating of spherical microresonators. Here we present a review regarding spherical microresonators coated by glass and glass-ceramic film activated by Er3+ ions. Er3+ ions appear to be embedded in a crystalline or amorphous environment and the lifetime dynamic is influenced by the geometry and by the morphology of the system. Photoluminescence results and morphologic properties are discussed for both amorphous and glass ceramic films.
Nonlinear Oscillations of a Suspended Gyrostat

In this paper, the nonlinear dynamics of the disturbed Hamiltonian systems of a suspended gyrostat with five degrees of freedom are investigated in detail. The periodic motions of the torque-free symmetrical gyrostat are derived in terms of elliptic functions. The necessary conditions for the occurrence of chaotic oscillations of the disturbed, suspended gyrostat, either dissipative or conservative, are obtained via the Melnikov-Holmes-Marsden integrals. The MHM integrals built on the homoclinic orbits of the torquefree gyrostat and excitation-free spherical pendulum are utilized to establish the transversal homoclinic intersections between the stable and unstable manifolds of the associated Poincare map of the investigated system with perturbations. The results of the theoretical analyses are cross-checked with numerical simulation.
Ultra-short pulse generation by a topological insulator based saturable absorber

Under strong laser radiation, a Dirac material, the topological insulator (TI) Bi2Te3, exhibits an optical transmittance increase as a result of saturable absorption. Based on an open-aperture Z-scan measurement at 1550 nm, we clearly show that the TI, Bi2Te3 under our investigation, is indeed a very-high-modulation-depth (up to 95%) saturable absorber. Furthermore, a TI based saturable absorber device was fabricated and used as a passive mode locker for ultrafast pulse formation at the telecommunication band. This contribution unambiguously shows that apart from its fantastic electronic property, a TI (Bi2Te3) may also possess attractive optoelectronic property for ultrafast photonics.
SU-FF-I-160: SpekCalc: A Free and User-Friendly Software Program for Calculating X-Ray Tube Spectra

Purpose: To develop a free and easy‐to‐use software program to model the x‐ray spectra emitted from x‐ray tubes. Such a program is useful for the education of physicists, technicians and technologists working in radiation physics but also as a research tool. Method and Materials: A Graphical User Interface (GUI) was created using REALbasic (REAL software, Inc.). This GUI, designated the name SpekCalc, allows the user to calculate and display the x‐ray spectra emitted from tungsten‐anode x‐ray tubes. The underlying theoretical description for the bremsstrahlung and characteristic x‐ray production is taken from a recent published model. Results: The user selects the tube potential in kVp, the take‐off angle and the amount of filtration. At a click of a button the resulting spectrum is calculated, displayed and can be saved for later use. Beam quality parameters such as the half‐value‐layer, in mm of aluminum and copper, and the mean beam energy, in keV, are also presented to the user. The range of potentials that can be modeled is wide (40–300 kVp) making Spekcalc useful to both the diagnostic imaging and keV photonradiotherapy fields. Filtration can be selected in mm, for 7 materials: aluminium,copper, tungsten, tin, beryllium, water and air. This allows an in‐depth exploration of the filtration effects of materials of differing atomic number. Over 300 individuals have downloaded this program thus‐far, for reasons as diverse as teaching in universities, to learn interactively about x‐ray tubes, for research in radiology and radiotherapy.Conclusion: A useful educational tool for physicists, technicians and technologists has been created, in the form of freely‐available software utility to calculate x‐ray tube spectra.
The architecture of a high performance mass store with GMR memory cells

A high output, GMR, sub-micron memory cell has been designed for a 16 Megabit die with an area of 0.9 square cm. Using die parameters, a study was made of a wafer scale, high performance memory system with on board cache units. The study shows that gigabyte per second throughputs can be achieved while using modest power.
Magnetic resonance imaging gradient coil design by combining optimization techniques with the finite element method

In this paper, the optimization techniques of complex method, steepest descent, and conjugate gradient are investigated in terms of their convergence behaviors. The conjugate gradient method is then combined with finite element analysis techniques to develop a magnetic resonance imaging (MRI) G/sub z/ gradient coil design strategy which maximizes the field linearity within a specified region of interest. It is found that conjugate gradient optimization in conjunction with the finite element method is a powerful and flexible coil design approach with the potential to incorporate complex coil geometries, inhomogeneous media, and transient current excitation.
Magnetic anisotropy and domain structure in carrier-controlled ferromagnetic semiconductors

A review is given of the experimental situation and theoretical modelling of micromagnetic properties of zinc-blende ferromagnetic semiconductors, such as (Ga, Mn)As and p-(Cd, Mn)Te. It is emphasized that the Zener p–d model explains quantitatively the effect of strain on the easy axis direction as well as predicting correctly the presence of the reorientation transition, observed as a function of hole concentration and temperature. Possible suggestions put forward to explain the existence of in-plane uniaxial magnetocrystalline anisotropy are then quoted. Finally, magnetic stiffness computed within the same model of ferromagnetism is presented, and is shown to explain the domain width in perpendicular films. It is emphasized that a rather large magnitude of the stiffness accounts for both the excellent micromagnetic properties of ferromagnetic (III, Mn)V films and the quantitative applicability of the mean-field approximation to these materials.
Neural Identification of 3D Distributed Parameter Systems

Abstract Differential Neural Networks (DNN) state identification of 3D Distributed Parameters Systems is studied in this paper. A lot of examples in science and engineering of systems described mathematically by partial differential equations (PDE's), posses the disadvantage of having many sources of uncertainties around their mathematical representation. Moreover to find the exact solutions of those PDE's is not a trivial task especially if the PDE is described in two or more dimensions. It is well known that neural networks can approximate a large set of continuous functions defined on a compact set to an arbitrary accuracy. A strategy based on DNN for the non parametric identification of a mathematical model described by a class of three dimensional (3D) PDE is proposed. The adaptive laws for weights ensure the “practical stability” of the DNN trajectories to the parabolic 3D-PDE states. To verify the qualitative behavior of the suggested methodology, here a non parametric modeling problem for a distributed parameter plant is analyzed.
Quantum oblivious transfer is secure against all individual measurements

Shows that the BBCS-protocol (Bennett, Brassard, Cre/spl acute/peau and Skubiszewska, CRYPTO'91, 1992) implementing one of the most important cryptographic primitives-'oblivious transfer'-is secure against any individual measurement allowed by quantum mechanics. We analyze the common situation where successive measurements on the same photon could be used to cheat in the protocol. We model this situation by using a single inner-product-preserving (IPP) operator, followed by a complete composite-outcome Von Neumann measurement. A lower bound on the residual collision entropy is then obtained under the assumption that only individual measurements can be performed. This bound is used to apply privacy amplification techniques in order to conclude the security of the BBCS-protocol. <<ETX>>
Cross-Validation and Validation Set Methods for Choosing K in KNN Algorithm for Healthcare Case Study

KNN categorization is simple and successful in healthcare. In this research's example case study, the KNN algorithm classified the new record as "Abnormal. " The classification method began with choosing K, then calculating the Euclidean distance between the new record and the training set, finding the K nearest neighbors, then classifying the new record based on those K neighbors. The findings show that the KNN algorithm is effective in healthcare and highlight several shortcomings that should be addressed in future study. Weighting variables, choosing the best K value, and handling non-uniform data are these restrictions. The findings show the KNN algorithm's medical potential.
The Influence of Active Learning on the Development of Learner Capabilities in the College of Applied Medical Sciences: Mixed-Methods Study

Background The learning process and the development of learning capabilities depend heavily on students’ active participation in their education. However, no study from the Gulf region has previously evaluated the effects of active participation in the capability development of students studying in the College of Applied Medical Sciences (COAMS). Objectives The study’s objectives were twofold: to assess the undergraduate students’ active participation in the development of their abilities at COAMS, and then to evaluate the teachers’ viewpoints on how active participation affects the general capabilities of COAMS students were examined. Methods This mixed-methods study employed an explanatory sequential design with quantitative (survey) data collected before qualitative data (face-to-face interviews). All final year students and faculty members from four programs were included. Eligible students were invited to complete the self-administered “Student Engagement Questionnaire (SEQ)” along with a questionnaire eliciting demographic information between January and April 2022. We further conducted open-ended ethnographic interviews with 12 faculty members. The programs and their effects on the students” abilities were assessed using ANOVA. The contribution of categorical variables to student active engagement was analysed using the Chi-square test. The responses from faculty members were analyzed thematically. Responses from the faculty members were analyzed using a thematic approach. Results Total of 145 eligible students (100%) completed the questionnaires. With regard to most of the questions regarding active engagement in the development of abilities, students expressed a high level of satisfaction. Therefore, modifying the curriculum to include critical thinking that addresses community issues, providing real-world experience, collaborative learning, and peer learning would improve students’ cognitive, learning, and skills while also improving engagement. Conclusion This study provides first-hand information on the effects of active participation in the development of capabilities. It suggests that these effects are related to the interactions between students and teachers as well as the learning environment, which are essential for improving academic performance.
Incorporating motion error in multi-frame structure from motion

Recovering structure from motion even using information from multiple image frames is difficult, in part because motion error can introduce large, correlated errors in the structure estimate. They propose a method for recursively recovering structure from motion that can deal with this problem. Encouraging results on real images and synthetic data are reported. <<ETX>>
Teaching and Learning in Communication Sciences Teaching and Learning in Communication Sciences & Disorders & Disorders

Abstract McKinney (2018) has argued that for the scholarship of teaching and learning (SoTL) to advance within a discipline, the integration of SoTL must be closely examined and opportunities for growth in SoTL must be recognized and discussed. To that end, this paper reflects on the degree to which SoTL is integrated into communication sciences and disorders (CSD) by examining a variety of topics: perspectives and theories historically valued by our discipline, existing supports for SoTL at various levels (i
Sufficient Dimension Reduction via Distance Covariance

We introduce a novel approach to sufficient dimension-reduction problems using distance covariance. Our method requires very mild conditions on the predictors. It estimates the central subspace effectively even when many predictors are categorical or discrete. Our method keeps the model-free advantage without estimating link function. Under regularity conditions, root-n consistency and asymptotic normality are established for our estimator. We compare the performance of our method with some existing dimension-reduction methods by simulations and find that our method is very competitive and robust across a number of models. We also analyze the Auto MPG data to demonstrate the efficacy of our method. Supplemental materials for this article are available online.
Foundry verification of IP and incoming designs for manufacturing variability

With process technologies advancing to 65nm, 45nm, and below, device timing uncertainty due to lithography and other process variations has easily exceeded 50% and is still growing. In this paper, we present the development of a variability methodology, its correlation with silicon and application to cell and full-chip design verification and optimization. We describe both a methodology for variability analysis of standard cells and a full-chip screening methodology to identify potential chip variability excursions. This methodology relies on model-based analysis and integrates with our existing design-to-manufacturing flow. Based on silicon measurement data of one of our 65nm cell libraries, this methodology has achieved significant improvement in accuracy of estimating timing variations compared to a traditional rule-based method.
Statistical Inference for Zero-Inflated Poisson Regression Models with Excess Zeros

In this paper, we deal with a class of zero-inflated Poisson regression models and propose a score test procedure for assessing whether there exists zero-inflation or not. The sampling distribution and the power of the score test statistic are investigated by a limited simulation study. Furthermore, a Bayesian inference procedure is also presented for comparison. Finally, a data set of fire accident is used to illustrate our methodology and our numerical results show that our approach is useful and appealing for the analysis of count data with zero-inflation.
Mean pulse polarization of southern pulsars at 1560 MHz

Mean pulse total intensity and polarization data at 1560 MHz are presented for 45 southern pulsars. The observations were made during 1988 at Parkes using a filter-bank polarimeter system. The results are discussed in terms of the rotating vector model for pulse polarization. Notable results include a highly polarized interpulse pulsar and several pulsars with very wide mean pulse profiles
Applications of Neural Network-Based Plan-Cancer Method for Primary Diagnosis of Mesothelioma Cancer

“Malignant mesothelioma (MM)” is an uncommon although fatal form of cancer. The proper MM diagnosis is crucial for efficient therapy and has significant medicolegal implications. Asbestos is a carcinogenic material that poses a health risk to humans. One of the most severe types of cancer induced by asbestos is “malignant mesothelioma. ” Prolonged shortness of breath and continuous pain are the most typical symptoms of the condition. The importance of early treatment and diagnosis cannot be overstated. The combination “epithelial/mesenchymal appearance of MM,” however, makes a definite diagnosis difficult. This study is aimed at developing a deep learning system for medical diagnosis MM automatically. Otherwise, the sickness might cause patients to succumb to death in a short amount of time. Various forms of artificial intelligence algorithms for successful “Malignant Mesothelioma illness” identification are explored in this research. In relation to the concept of traditional machine learning, the techniques support “Vector Machine, Neural Network, and Decision Tree” are chosen. SPSS has been used to analyze the result regarding the applications of Neural Network helps to diagnose MM.
Spatial subdivision for piecewise planar object reconstruction

An algorithm is presented for piecewise planar segmentation of 3D point clouds, which uses spatial subdivision into finite volume elements. For each volume element a local plane is fitted and these planes are grouped to detect bigger planar structures and construct a piecewise planar object model. The algorithm has a higher detection sensitivity for small object planes than a previous global plane detection methods based on RANSAC fitting and plane sweeping. Experimental results are presented for a synthetic dataset, which was used to evaluate the algorithms performance and for a real dataset, which was used to compare it to other methods.
Regional Spatial Changes in the Slovak Agriculture

This paper discusses the Slovak regional economy structural changes, development and factors of regional economic specialisation and geographic concentration of sectors with a focus on agriculture from 1995 to 2012. Specialization and sector geographic concentration were quantified by Herfindahl and Entropy indices. At the national level we found steadily growing share of crop production at the expense of animal production. Regional concentration of both, crop and animal production and animal production specialisation has been increasing. Spatial clusters of similar specialised regions were detected for crop production. Linear panel models were used to estimate the effect of selected factors on regional crop and animal production specialisation. The agricultural policy instruments, including the CAP had significant effect on regional crop and animal production specialisation patterns. Provision of the complementary national direct payments (CNDP) and investment support had positive effect on regional crop production diversification. Density of regional road network, average annual temperature in the growing season, average annual rainfall in the growing season and provision of the LFA payments had positive effect on both regional crop and animal production diversification.
An expanded mixed covolume method for sobolev equation with convection term on triangular grids

The expanded mixed covolume method for the two‐dimensional Sobolev equation with convection term is developed and studied. This method uses the lowest‐order Raviart‐Thomas mixed finite element space as the trial function space. By introducing a transfer operator γh which maps the trial function space into the test function space and combining expanded mixed finite element with mixed covolume method, the continuous‐in‐time, discrete‐in‐time expanded mixed covolume schemes are constructed, and optimal error estimates for these schemes are obtained. Numerical results are given to examine the validity and effectiveness of the proposed schemes. © 2012 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2013
H-R Diagrams Based on the HD Stars in the Michigan Spectral Catalogue and the Hipparcos Catalog

The systematic, spectroscopic two-dimensional classification of the HD stars by N. H. is approximately three-quarters complete. Over 161,000 stars have been classified visually using 10° objective-prism plates (2 Å resolution) taken at CTIO with the Michigan Curtis Schmidt telescope. The published portion of this large, homogeneous database, taken from volumes 1-5 of the Michigan Spectral Catalogue (declination -90° to +5°), has been used to create an H-R diagram. The Hipparcos parallax measurements provide a large homogenous database, too. H-R diagrams of the HD stars found in both catalogs are produced for distances to 20, 50, 100, and 200 pc.
New developments and applications of skin-friction measuring techniques

This survey covers recent developments and applications of four skin-friction measurement techniques (oil-film interferometry, wall hot wire, surface fence and wall pulsed wire). Comparisons of the techniques with each other and with other methods are presented. Applications in attached and separated fully turbulent boundary layers and in highly accelerated laminar-like flows will be shown to demonstrate the application range and the limits of the various techniques.