Miracle-dz/UniFAR-FTUs huggingface dataset:
A simplex-cut method for nearest facets in Minkowski polytopes

The Support Vector Machine algorithms are well known machine learning algorithms focused on classification and regression. The main idea of an SVM problem is to find a function to separate two data sets with a maximum margin. In this thesis, we focus on solving the linear SVM problem where the training sets cannot be separated by a linear function. We follow Cui’s thesis [6] which converts the problem into a Minkowski Norm Minimization problem. We first introduce the basic formulation of SVM problem and some theory. We also briefly introduce Cui’s geometric framework and show how the SVM problem can be view geometrically. In order to solve the Minkowski Norm Minimization problem, we propose to algorithms two trim the polytope. The implementation uses lrs [1] for enumeration and cdd [8] for linear programming; gmplib [7] is used for multi-precision calculation. The results of the experiments show that our methods have better performance than brute-force enumeration and that the cutting polytope method has better performance than cutting planes.
Study of Compressive Force Effect on Biocomposite

The aim of this paper is to study the influence of compressive force on mechanical (i.e. tensile strength and bulk density) and thermal properties of rice straw reinforced composites. The composite was prepared by Hand lay-up method. Different Compressive force were tried; namely, 15 kg, 20 kg, 25 kg and 30 Kg. The results revealed that 25 kg of compressive force exhibited the best tensile strength and thermal properties while increase in properties with increase of compressive force after a certain content it starts decreasing. It was found that rice straw fibre can be a good candidate for the reinforcement fibre of high performance biodegradable composites.
Optimal synthesis of a planar four-bar function generator based on imderect measure of structural error

OPTIMAL SYNTHESIS OF A PLANAR FOUR-BAR FUNCTION GENERATOR BASED ON INDIRECT MEASURE OF STRUCTURAL ERROR by Robert A, Ellis III A novel technique for optimal synthesis of a planar four-bar function generator is presented. An indirect measure of structural error is used to formulate an objective function which, along with its derivatives, is straightforward to evaluate and results in an elegant and robust algorithm. Lagrange multipliers are used to incorporate the loop closure constraint into the objective function. In this thesis, the formulation of the objective function and the minimization algorithm are described, examples are presented, and the virtues and shortcomings of the algorithm are discussed. OPTIMAL SYNTHESIS OF A PLANAR FOUR-BAR FUNCTION GENERATOR BASED ON INDIRECT MEASURE OF STRUCTURAL ERROR by Robert A. Ellis III A Thesis Submitted to the Faculty of New Jersey Institute of Technology in Partial Fulfillment of the Requirements for the Degree of Master of Science in Mechanical Engineering Department of Mechanical Engineering January 1998
Optical properties of one-dimensional defective photonic crystal containing nanocomposite material

We have obtained the optical properties of one-dimensional defective photonic crystals containing nanocomposite materials of Ag as a defect layer in UV region; the permittivity of nanocomposite materials depends on plasmon frequency of metal nanoparticles. Our analysis is based on the fundamentals of the transfer matrix method. We have investigated the effect of many parameters such as metal thickness, volume fraction, and defected dielectric materials on the intensity of a defect layer.
Oscillation Mode Variability in Evolved Compact Pulsators from Kepler Photometry. I. The Hot B Subdwarf Star KIC 3527751

We present the first results of an ensemble and systematic survey of oscillation mode variability in pulsating hot B subdwarf (sdB) and white dwarf stars observed with the original Kepler mission. The satellite provides uninterrupted high-quality photometric data with a time baseline that can reach up to 4 yr collected on pulsating stars. This is a unique opportunity to characterize long-term behaviors of oscillation modes. A mode modulation in amplitude and frequency can be independently inferred by its fine structure in the Fourier spectrum, from the sLSP, or with prewhitening methods applied to various parts of the light curve. We apply all these techniques to the sdB star KIC 3527751, a long-period-dominated hybrid pulsator. We find that all the detected modes with sufficiently large amplitudes to be thoroughly studied show amplitude and/or frequency variations. Components of three identified quintuplets around 92, 114, and 253 μHz show signatures that can be linked to nonlinear interactions according to the resonant mode coupling theory. This interpretation is further supported by the fact that many oscillation modes are found to have amplitudes and frequencies showing correlated or anticorrelated variations, a behavior that can be linked to the amplitude equation formalism, where nonlinear frequency corrections are determined by their amplitude variations. Our results suggest that oscillation modes varying with diverse patterns are a very common phenomenon in pulsating sdB stars. Close structures around main frequencies therefore need to be carefully interpreted in light of this finding to secure a robust identification of real eigenfrequencies, which is crucial for seismic modeling. The various modulation patterns uncovered should encourage further developments in the field of nonlinear stellar oscillation theory. It also raises a warning to any long-term project aiming at measuring the rate of period change of pulsations caused by stellar evolution, or at discovering stellar (planetary) companions around pulsating stars using timing methods, as both require very stable pulsation modes.
Substrate integrated low‐profile dual‐band magneto‐electric dipole antenna

In this article, a novel substrate integrated low‐profile dual‐band magneto‐electric (ME) dipole antenna is proposed. The entire antenna is constructed by four‐layer printed circuit boards (PCBs). Consequently, the height of the proposed antenna is decreased from 0. 25λ0 to 0. 11λ0 (λ0 is the free‐space wavelength at 5.5 GHz). By introducing rectangular patches with different sizes as electric dipoles, dual operating bands are achieved. Meanwhile, for the purpose of improving the impedance matching at the lower frequency band, a pair of complementary split‐ring resonators (CSRRs) is etched on the larger rectangular patches. Moreover, the short walls composed of plated through holes operate as a magnetic dipole. The antenna is fed by an equivalent wideband microstrip‐to‐parallel stripline balun. The results show that the antenna obtains dual bandwidths of 4.31‐4.71 GHz (8.8%) and 5.07‐5.89 GHz (14.9%) with VSWR <2, which can be applied for C‐band and 5G WiFi. Over the dual operating bands, stable gain and unidirectional radiation patterns with low polarization and low back lobe are also obtained.
PENGARUH TUNJANGAN KERJA DAN KE PUASAN KERJA TERHADAP MOTIVASI BERPRESTASI GURU SMK SWASTA DI KECAMATAN BATANG

Hasil penelitian (1) ada pengaruh tunjangan kerja terhadap motivasi berprestasi guru swasta SMK Swasta SeKecamatanBatang, berdasarkan nilai Fhitung 149,289 > Ftabel 3,93 dan nilai Sig 0,000 < 0,05 yang berarti H0 ditolak dan Ha diterima. Hasil analisis tersebut dapat disimpulkan bahwa tunjangan kerja berpengaruh signifikan terhadap motivasi berprestasi guru. (2) ada pengaruh Kepuasan Kerja Terhadap Motivasi Berprestasi Guru SMK Swasta SeKecamatanBatang, Berdasarkan nilai Fhitung 104,957 > Ftabel 3,93 dan nilai Sig 0,000 < 0,05 yang berarti H0 ditolak dan Ha diterima. Hasil analisis tersebut dapat disimpulkan bahwa kepuasan kerja berpengaruh signifikan terhadap motivasi berprestasi guru. (3) ada pengaruh Tunjangan Kerja dan Kepuasan Kerja Terhadap Motivasi Berprestasi Guru SMK Swasta Swasta di Kecamatan Batang, Berdasarkan nilai Fhitung 108,191 > Ftabel 3,08 dan nilai Sig sebesar 0,000 < 0,05 yang berarti H0 ditolak dan Ha diterima. Hasil analisis tersebut dapat disimpulkan bahwa tunjangan kerja dan kepuasan kerja berpengaruh signifikan terhadap motivasi berprestasi guru. Saran: kepala sekolah perlu memperhatikan tunjangan profesi guru dan meningkatkan motivasi untuk meningkatkan kualitas kerja.Kata Kunci: tunjangan kerja;kepuasan kerja; dan motivasi berprestasi
Precision study of the minimal B − L model using the SUSY-Toolbox

We discuss a CMSSM variant of the minimal, supersymmetric B − L extension of the minimal supersymmetric standard model. This model provides many new, phenomenological aspects because it extends not only the gauge, but also the Higgs, the neutralino, the neutrino and the sneutrino sector. We demonstrate how the SUSY-Toolbox can be used to perform a comprehensive study of this model with a precision needed for a linear collider. This includes a calculation of the mass spectrum based on two-loop RGEs and a complete one-loop renormalization using SPheno and the possibility performing exhaustive collider studies due to a full-ﬂedged implementation in well-tested Monte-Carlo tools like WHIZARD or CalcHep . In addition, checks of Higgs and dark matter constraints can be applied using HiggsBounds and MicrOmegas . This tool-chain is based on the easy implementation of new models in the SARAH .
Higgs interaction with scalar singlet via Yukawa coupling using Dyson-Schwinger equations

Higgs, being the first discovery of a fundamental scalar field in the standard model (SM), opens the possibility of existence of other scalar or pseudo scalar particles. Though it does not conclusively fulfill the role of inflaton, it does provide motivation for experimental searches involving interactions of scalar (or pseudo scalar) particles as well as implications of such particles' existence from the perspective of theoretical understanding. Yukawa interactions are among the possible interactions. The considered model addresses Yukawa interaction among the Higgs (and Higgs bar) and a real singlet scalar field using Dyson Schwinger equations (DSEs) over a range of bare coupling values relevant to inflation-related physics, for several scalar and Higgs' masses, without involving any DSEs but those for field propagators. It is found that Higgs mass does not receive considerable contributions while scalar propagators do not degenerate over the whole parametric space. The interaction vertices show significant deviations from tree level expression for a number of parameters and exhibit a two-scaled behavior. Furthermore, the theory does not show any conclusive sign of triviality over the explored parametric space.
Crowdsensing: Assessment of Cognitive Fitness Using Machine Learning

—The expanded use of smartphones and the Internet of Things have enabled the usage of mobile crowdsensing technologies to improve public health care in clinical sciences. Mobile crowdsensing enlightens a new sensing pattern that can reliably differentiate individuals based on their cognitive fitness. In previous studies on this domain, the visual correlation has not been illustrated between physiological functions and the mental fitness of human beings. Therefore, there exists potential gaps in providing mathematical evidence of correlation between physical activities & cognitive health. Moreover, empirical analysis of autonomous smartphone sensing to assess mental health is yet to be researched on a large scale, showing the correspondence between ubiquitous mobile sensors data and Patient Health Questionnaire-9 (PHQ-9) depression scales. This research systematically collects mobile sensors’ data along with standard PHQ-9 questionnaire data and utilizes traditional machine learning techniques (Supervised and Unsupervised) for performing necessary analysis. Moreover, we have conducted statistical t-tests to find similarities or to differentiate between people of distinct cognitive fitness levels. This research has successfully demonstrated the numerical evidence of correlations between physiological activities and the cognitive fitness of human beings. The Fine-tuned regression models built for the purpose of predicting users’ cognitive fitness score, perform accurately to a certain extent. In this analysis, crowdsensing is perceived to differentiate several people’s cognitive fitness levels comprehensively. Furthermore, our study has addressed a significant insights to assessing people’s mental fitness by relying upon their smartphone usage.
The Foundations of Statistical Inference.

The concept of conditional experimental frames of reference has a significance for the general theory of statistical inference which has been emphasized by R. A. Fisher, D. R. Cox, J. W. Tukey, and others. This concept is formulated as a principle of conditionality, from which some general consequences are deduced mathematically. These include the likelihood principle, which has not hitherto been very widely accepted, in contrast with the conditionality concept which many statisticians are inclined to accept for purposes of "informative inference. " The likelihood principle states that the "evidential meaning" of experimental results is characterized fully by the likelihood function, without other reference to the structure of an experiment, in contrast with standard methods in which significance and confidence levels are based on the complete experimental model. The principal writers up. porting the likelihood principle have been Fisher and G. A. Barnard, in addition to Bayesian writers for whom it represents the "directly empirical" part of their standpoint. The likelihood principle suggests certain systematic reinterpretations and revisions of standard methods, including "intrinsic significance and confidence levels" and "intrinsic standard errors," which are developed and illustrated. The close relations between non-Bayesian likelihood methods and Bayesian methods are discussed.
On the self-similar solutions of the crystalline mean curvature flow in three dimensions

We present two types of self-similar shrinking solutions of positive genus for the crystalline mean curvature flow in three dimensions analogous to the solutions known for the standard mean curvature flow. We use them to test a numerical implementation of a level set algorithm for the crystalline mean curvature flow in three dimensions based on the minimizing movements scheme of A. ~Chambolle, \textit{Interfaces Free Bound. ~6}~(2004). We implement a finite element method discretization that seems to improve the handling of edges in three dimensions compared to the standard finite difference method and illustrate its behavior on a few examples.
Early Prediction of Ion Transport Properties in Solid Polymer Electrolytes Using Machine Learning and System Behavior-Based Descriptors of Molecular Dynamics Simulations

Molecular dynamics simulations are useful tools to screen solid polymer electrolytes with suitable properties applicable in Li-ion batteries. However, due to the vast de-sign space of polymers, it is highly desirable to accelerate the screening by reducing the computational time of ion transport properties from simulations. In this study, we show that with a judicious choice of descriptors, we can predict the equilibrium ion transport properties in LiTFSI-homopolymer systems within the first 0.5 ns of the production run of simulations. Specifically, we find that descriptors that include information about the behavior of the system, such as ion clustering and time evolution of ion transport properties, have several advantages over polymer structure-based descriptors, as they encode system (polymer and salt) behavior rather than just the class of polymers and can be computed at any time point during the simulations. These characteristics increase the applicability of our descriptors to a wide range of polymer systems (e.g., co-polymers, blend of polymers, salt concentrations, and temperatures) and can be impactful in significantly shortening the discovery pipeline for solid polymer electrolytes.
High performance p-type half-Heusler thermoelectric materials

Half-Heusler compounds, which possess robust mechanical strength, good high temperature thermal stability and multifaceted physical properties, have been verified as a class of promising thermoelectric materials. During the last two decades, great progress has been made in half-Heusler thermoelectrics. In this review, we summarize some representative work of p-type half-Heusler materials, the thermoelectric performance of which has been remarkably enhanced in recent years. We introduce the features of the crystal and electronic structures of half-Heusler compounds, and successful strategies for optimizing electrical and thermal transport in the p-type RFeSb (R = V, Nb, Ta) and MCoSb (M = Ti, Zr, Hf) based systems, including band engineering, the formation of solid solutions and hierarchical phonon scattering. The outlook for future research directions of half-Heusler thermoelectrics is also presented.
Drug Addiction Among The Male University Students: A Sociological Study of Shah Abdul Latif University Khairpur

Drug addiction among university students is one of the gravest issues it prevails in every part of the globe and disturbs the very fabric of society. Youth take drug due to socio-economic frustration or over-excitement. The aim of this study is to determine social, economic impact of drug addicts and to investigate motivational factors which lead students to use drugs in university. It explores the relationship between drug addiction and socio- economic impacts on the students. 200 male students from Shah Abdul Latif University Khairpur were selected and data was collected through purposive sampling. In present study, quantitative approach has been used. According to the findings, students' low socio-economic status is the major cause of drug usage, which also has an influence on their academic performance. The media, parents and university administration may all play critical roles in raising awareness about the risks of drug addiction.
Enhancing general physicians' awareness for prompt specialist referral in a treatable rare pathology

Background: This study aimed to assess the awareness of general physicians regarding treatable rare pathologies and their referral practices. Methods: A cross-sectional study design was employed in Combined Military Hospital (CMH), Peshawar, involving 100 general physicians practicing in various healthcare settings. Data was collected through surveys and interviews conducted between June 2022 and December 2022. Results: The survey results showed that only 45% of general physicians had adequate knowledge of treatable rare pathologies, while 35% had limited awareness and 20% were uncertain. Barriers to awareness included limited formal education, lack of updated guidelines and resources, time constraints, and heavy workloads. Conclusion: This study highlights the need for interventions to enhance general physicians' awareness of treatable rare pathologies and improve their referral practices. Collaboration between general physicians and specialists, provision of updated guidelines and resources, and patient education initiatives are crucial for optimizing patient outcomes in cases of treatable rare pathologies.
Numerical Investigation of Preconditioning for Iterative Methods in Linear Systems Obtained by Extended Element-Free Galerkin Method

In an extended element-free Galerkin method (X-EFG), the essential and natural boundary conditions can be imposed by the collocation based method. However, a coefficient matrix of linear systems obtained by X-EFG become asymmetric, although a symmetric structure exists in a part of the coefficient matrix. In fact, the structure of the coefficient matrices almost becomes symmetric when the size of linear systems is large. Hence, efficient effects may be obtained by using preconditioning for symmetric matrices. The purpose of the present study is to investigate effects of preconditioning for symmetric matrices to linear systems obtained by X-EFG. To this end, the incomplete Cholesky factorization (IC) is applied to the linear systems by regarding the coefficient matrix as symmetric one. In numerical experiments, it is found that the linear systems obtained by X-EFG can be efficiently solved by using IC as preconditioning for GMRES(m) and Bi-CGSTAB. In some cases, the efficiency of IC is superior than that of the incomplete LDU factorization as preconditioning for these iterative methods.
Self-similar solutions to nonlinear Dirac equations and an application to nonuniqueness

Self-similar solutions to nonlinear Dirac systems (1) and (2) are constructed. As an application, we obtain nonuniqueness of strong solution in super-critical space \begin{document} $C([0, T]; H^{s}(\Bbb{R}))$ \end{document} \begin{document} $(s to the system (1) which is \begin{document} $L^2(\Bbb{R})$ \end{document} scaling critical equations. Therefore the well-posedness theory breaks down in Sobolev spaces of negative order.
The plasma-wall transition layers in the presence of collisions with a magnetic field parallel to the wall

The plasma-wall transition is studied by means of a particle-in-cell (PIC) simulation in the configuration of a parallel to the wall magnetic field (B), with collisions between charged particles vs. neutral atoms taken into account. The investigated system consists of a plasma bounded by two absorbing walls separated by 200 electron Debye lengths (λd). The strength of the magnetic field is chosen such as the ratio λ d / r l, with rl being the electron Larmor radius, is smaller or larger than unity. Collisions are modelled with a simple operator that reorients randomly ion or electron velocity, keeping constant the total kinetic energy of both the neutral atom (target) and the incident charged particle. The PIC simulations show that the plasma-wall transition consists in a quasi-neutral region (pre-sheath), from the center of the plasma towards the walls, where the electric potential or electric field profiles are well described by an ambipolar diffusion model, and in a second region at the vicinity of the.
Design and Optimisation of Horizontal Axis Wind Turbine Blades Using Biomimicry of Whale Tubercles

Wind speed is the major factor in generating power in a wind turbine. However, due to the non-optimum and redundant design of wind turbine blades, not nearly enough wind is captured for utilization. In the present study, modifications were done on the leading edge of the HAWT blade using tubercles showing their effects on aerodynamic performances. From this research, the following results found concerning the performances of HAWT with leading-edge tubercles were that; blades with tubercles on the leading edge will have superior performance in the post-stall regime by 27%, tubercles with a smaller amplitude and lower wavelength will produce higher lift and lower drag in the low wind speed condition, and tubercle blade will have a stable and smooth performance in varying wind speed conditions, producing higher torque and power at low wind speed. Using a small wind turbine model, SolidWorks Motion Analysis Simulation was used for dynamic modeling to evaluate and determine the force and torque of the mechanical structure. These results were compared and examined using standard wind turbine blades which showed an improvement of 30% in efficiency.