Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Optimization of a Novel Flux Reversal Machine with Auxiliary Teeth

As a typical representative of the stator permanent magnet (PM) machines, the flux reversal machines (FRMs) have a simple structure, high availability of PMs, and high efficiency, making them suitable for direct drive applications. However, the PMs of the FRMs are mounted on the surface of the stator tooth, and its equivalent length of air gap is relatively large, which limits the torque increase. To improve the torque density, a novel FRM with auxiliary teeth is proposed in this paper. Half of the stator teeth are replaced by auxiliary teeth without PMs to reduce magnetic flux leakage, the number of PMs on each stator tooth is also changed. To improve the torque, the genetic algorithm is used to optimize the key design parameters to determine the optimal parameters of the machine. Finally, a finite element model is established to verify the analysis results. Compared with the conventional FRM, the torque of the proposed FRM is increased by 25.1%, the torque ripple is reduced by 24.1%, and the consumption of PMs is reduced by 24.1%. Therefore, the proposed FRM has a broader application prospect.
ZnO nanowire arrays grown on Al:ZnO buffer layers and their enhanced electron field emission

Arrays of highly ordered ZnO nanowires have been synthesized on polycrystalline Al-doped ZnO (AZO) buffer layers prepared on p-Si substrates (7–13 Ω cm) with assistance of a thermal deposition method. The diameter and interspacing of the nanowires have been controlled by the growth conditions and properties of AZO films. The optimized array of ZnO nanowires shows low turn-on and threshold fields (∼1.1 and ∼3.0 V/μm, respectively) and displays exceptional time stability of electron field emission. The time-fluctuation instability was found to be less than 0.6% at a current density of 10 mA/cm2, as measured for 500 min. The low turn-on and threshold fields as well as the stable electron emission current suggest that the arrays of ZnO nanowires could be considered in some electron field emission applications.
A Probabilistic Analysis of the Brittle Fracture Loci under Bi-axial Stress State : 1st Report, in the case of tension being dominant

Most of the previous theories about brittle fracture, based on the weakest link theory, ignore the effects of shear stresses. In this paper, on the contrary, more general multiaxial distribution functions are formulated taking into consideration both the normal and shear stresses and assuming straight surface cracks and penny-shaped cracks. Using new multiaxial distribution functions, the brittle fracture loci under bi-axial stress state are analysed.
Optimization techniques and inverse problems: Reconstruction of conductivity profiles in the time domain

The iterative probing of an inhomogeneous lossy dielectric slab, whose conductivity is unknown, is discussed. The probing is done in the time domain from the measurements of the field on the interface when this slab is illuminated by a known field. An exact integral formulation is used. Minimization of a cost function, characteristic of the discrepancy between the measured field and the field which would be scattered by a known slab, is specified by the optimization theory. The notion of the adjoint state of the field is introduced. The influence of some parameters of this minimization is studied. Great importance is given to the sensitivity of the probing as function of the amplitude of errors in the data. Such an iterative probing appears fast, accurate, and efficient, even in the case of large errors.
Guided Censored Regression

Parametrically guided non‐parametric regression is an appealing method that can reduce the bias of a non‐parametric regression function estimator without increasing the variance. In this paper, we adapt this method to the censored data case using an unbiased transformation of the data and a local linear fit. The asymptotic properties of the proposed estimator are established, and its performance is evaluated via finite sample simulations.
Antidiabetic and Toxicological Effects of the Tea Infusion of Summer Collection from Annona cherimola Miller Leaves

Annona cherimola Miller (Ac) is a plant used in Mexican traditional medicine for the treatment of diabetes. In this work, the tea infusion extracts obtained from 1.5 g of leaf powder from Ac collected in May (AcMa), June (AcJun), July (AcJul), and August (AcAu) were evaluated on streptozocin-induced diabetic (STID) mice and for subchronic toxicity in STID and non-diabetic (ND) mice. In addition, extracts were subjected to high-performance liquid chromatography with diode array detection (HPLC-DAD). Results showed that the tea infusion extract of the sample collected in August (AcAu) exhibited the most significant antihyperglycemic activity during all acute assays. The analysis of the extracts (AcMa, AcJu, AcJul, and AcAu) by HPLC-DAD revealed that flavonoid glycosides, rutin, narcissin, and nicotiflorin were the major components. In addition, the sample AcAu contained the best concentration of flavonoids. In the case of subchronic oral toxicity, the AcAu sample did not cause mortality in STID mice, and histopathological analysis revealed significant improvement in the changes associated with diabetes in the liver and kidneys. These findings suggest that the Ac leaves collected in August may be a source of flavonoids such as rutin, with antidiabetic potential. In addition, these findings support the use of Ac to treat diabetes in traditional medicine.
Schumann resonances: Interpretation of local diurnal intensity modulations

A technique suggested by Sentman and Fraser (1991) for separating the global and the local contributions to the observed Schumann resonance (SR) field power variations is applied to simulated SR field power calculated in a uniform cavity. The spatial/temporal distribution of lighting strokes included in the computations is based on satellite lightning data. It is shown that the local intensity modulation function calculated with a uniform model is similar to the function obtained by Sentman and Fraser with experimental data. Since the local modulation function computed from a uniform model simulation cannot be induced by ionosphere day‐night asymmetry, the local modulation function cannot represent diurnal ionosphere height variation. It is shown that the local modulation function depends primarily on the source‐receiver distance geometry and that Sentman and Fraser have developed an efficient technique of removing source‐receiver distance effects from SR records.
Time-Synchronized Microwave Cavity Resonance Spectroscopy and Laser Light Extinction Measurements as a Diagnostic for Dust Particle Size and Dust Density in a Low-Pressure Radio-Frequency Driven Nanodusty Plasma

In a typical laboratory nanodusty plasma, nanometer-sized solid dust particles can be generated from the polymerization of reactive plasma species. The interplay between the plasma and the dust gives rise to behavior that is vastly different from that of pristine plasmas. Two of the key parameters in nanodusty plasma physics are, among other things, the dust particle size and the dust density. In this work, we introduce a novel method for the determination of these two quantities from the measurement of the free electron density using microwave cavity resonance spectroscopy and laser light extinction measurements. When comparing these two measurements to theory, one can determine the best-fitting dust particle size and dust density. Generally, cyclic behavior of the dust particle size and dust density was observed, of which the trends were relatively insensitive to varying the most stringent input assumptions. Finally, this method has been used to explore the behavior of the dust particle size and dust density for varying plasma powers.
The constrained shortest path problem

The shortest path problem between two specified nodes in a general network possesses the unimodularity property and, therefore, can be solved by efficient labelling algorithms. However, the introduction of an additional linear constraint would, in general, destroy this property and the existing algorithms are not applicable in this case. This paper presents a parametric approach for solving this problem. The algorithm presented would require, on the average, a number of iterations which is polynomially bounded. The similarity of this approach to that of the generalized Lagrange multiplier technique is demonstrated and a numerical example is presented.
Ecological Sustainability and Households’ Wellbeing: Linking Households’ Non-Traditional Fuel Choices with Reduced Depression in Rural China

A sustainable and pleasant environment is deemed to offer various positive externalities such as scenic, visual and behavioral archetypes and patterns exhibiting in various forms. Such a scenario can significantly relieve households from many psychological and personal complications such as depression. Depression has aroused great concerns in recent years due to its personal and social burdens and unforeseeable damage. Many studies have explored the effects of air pollution caused by traditional fuel consumption on depression. However, limited evidence is available on how household non-traditional fuel choices affect depression. Based on a nationally representative dataset collected from China Family Panel Studies (CFPS) in 2012, this paper employs an endogenous switching regression (ESR) model and an endogenous switching probit (ESP) model to address the endogenous issue and to estimate the treatment effects of non-traditional fuel choices on depression in rural China. The empirical results show that non-traditional fuel users have significantly lower Epidemiologic Studies Depression Scale (CES-D) scores, indicating non-traditional fuel users face a lower risk of depression. Compared to solid fuels, employing non-traditional fuels will lead to a 3.659 reduction in depression score or decrease the probability of depression by 8.2%. In addition, the results of the mechanism analysis show that household non-traditional fuel choices affect depression by reducing the probability of physical discomfort and chronic disease. This study provides new insight into understanding the impact of air pollution in the house on depression and how to avoid the risk of depression in rural China effectively.
Improved Particle Swarm Optimization Based on the Geometric Analysis of Single Particle

To enhance the ability of the standard Particle Swarm Optimization (PSO) on solving the complex nonlinear problems, an improved algorithm with independent inertia weight for each particle was proposed in this paper. Firstly, a single particle of the particle swarm was studied. The law of the instantaneous movement of single particle at each iteration was analyzed in a novel geometric view. Two importance conclusions were drawn: 1) The introduction of the two random numbers makes the particle search in a broad parallelogram area, while the product of the inertia weight and the particles present speed is the parallel shift of the aforementioned parallelogram area; 2) The search ability will be greatly reduced as soon as a particle becomes the Global Optimal Particle (GOP). Then, on the ground of the significant conclusions, the improvement plan of the standard PSO was put forward. Experiments show that the proposed algorithm has obvious superiority on the convergence ratio, the convergence speed and the convergence stability.
Radio-frequency heating of a plasma

If a uniform plasma is surrounded by a heating coil in the presence of a steady axial magnetic field, it is shown that a considerable increase in power absorption may be expected if the operating frequency is chosen to be close to a magneto-acoustic resonance of the plasma column. This effect is due to a very large increase in the oscillating field at the center of the plasma column. For an initially cool plasma, heating is due to a combination of ohmic and collisional heating, while at higher temperatures, collisional heating by magnetic pumping is the dominant heating mechanism.
Some logical and syntactical observations concerning the first-order dependent type system λP

We look at two different ways of interpreting logic in the dependent type system λP. The first is by a direct formulas-as-types interpretation à la Howard where the logical derivation rules are mapped to derivation rules in the type system. The second is by viewing λP as a Logical Framework, following Harper et al. (1987) and Harper et al. (1993). The type system is then used as the meta-language in which various logics can be coded. We give a (brief) overview of known (syntactical) results about λP. Then we discuss two issues in some more detail. The first is the completeness of the formulas-as-types embedding of minimal first-order predicate logic into λP. This is a remarkably complicated issue, a first proof of which appeared in Geuvers (1993), following ideas in Barendsen and Geuvers (1989) and Swaen (1989). The second issue is the minimality of λP as a logical framework. We will show that some of the rules are actually superfluous (even though they contribute nicely to the generality of the presentation of λP). At the same time we will attempt to provide a gentle introduction to λP and its various aspects and we will try to use little inside knowledge.
Development and validation of headteachers' leadership behavior questionnaire (HLBQ)

The leadership behavior of the headteachers is associated with institutional worth. This study intended to develop and validate a headteachers’ leadership behavior questionnaire (HLBQ) to measure the leadership behavior of headteachers. The questionnaire encompassed two sub-dimensions viz: people-oriented leadership behavior and task-oriented leadership behavior as per Blake and Mouton’s Managerial Grid. After a rigorous literature review followed by focus group discussions, the preliminary draft of the tool encompassed forty-three (43) items on the five (5) points Likert Scale. Based on the content and face validity, the items with CVR values less than 0.42 were dropped. The revised questionnaire was pilot tested on three hundred and ten (310) public secondary school teachers employed in the school education department. The data were processed through Smart PLS version 4, which provided the questionnaire’s validity, reliability, and model fit. After deleting the unfit items, the questionnaire was further reduced to thirty-one (31) items. AVE values of the items related to people-oriented leadership behavior were 0.658 > 0.5, and for task-oriented were 0.686 > 0.5. Fornell-Lacker criterion value (0.828) was more than the correlations with other latent constructs, i.e., 0.811 and 0.831. The Heterotrait-Monotrait ratio (HTMT) value was 0.859 < 0.9, which is acceptable. Cronbach alpha for people-oriented leadership behavior was 0.967 > 0.7, and task-oriented leadership behavior was 0.658 > 0.7. Similarly, the composite reliability (CR) values for people-oriented leadership behavior were 0.970 > 0.7, and task-oriented leadership behavior was 0.963 > 0.7. Thus, the headteachers’ leadership behavior questionnaire (HTLB) was internally consistent, valid, and reliable. The findings of the entire study supported using the headteachers’ leadership behavior questionnaire (HLBQ) to explore and measure the leadership behavior of the headteachers.
On superconvergence results and negative norm estimates for a unidimensional single phase stefan problem

Based on Landau-type transformation, a unidimensional single phase Stefan problem is transformed into a system consisting of parabolic equation with a quadratic nonlinear term and two ordinary differential equations. An Hl-Galerkin method is then applied to estimate the quadratic nonlinear term effectively and optimal estimates in L∞, L2, H1 and H2 norms are obtained without quasiuniformity condition on the finite element mesh. Further using quasiprojection technique, negative norm estimates and superconvergence results are derived. As a result, Galerkin approximation for the free boundary exhibits a superconvergence phenomenon. Since the superconvergence results for the Hl– Galerkin approximations to nonlinear parabolic equations are not available in the literature, the present study has an added significance.
Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis

Background In health care research, patient-reported opinions are a critical element of personalized medicine and contribute to optimal health care delivery. The importance of integrating natural language processing (NLP) methods to extract patient-reported opinions has been gradually acknowledged over the past years. One form of NLP is sentiment analysis, which extracts and analyses information by detecting feelings (thoughts, emotions, attitudes, etc) behind words. Sentiment analysis has become particularly popular following the rise of digital interactions. However, NLP and sentiment analysis in the context of intrafamilial communication for genetic cancer risk is still unexplored. Due to privacy laws, intrafamilial communication is the main avenue to inform at-risk relatives about the pathogenic variant and the possibility of increased cancer risk. Objective The study examined the role of sentiment in predicting openness of intrafamilial communication about genetic cancer risk associated with hereditary breast and ovarian cancer (HBOC) syndrome. Methods We used narratives derived from 53 in-depth interviews with individuals from families that harbor pathogenic variants associated with HBOC: first, to quantify openness of communication about cancer risk, and second, to examine the role of sentiment in predicting openness of communication. The interviews were conducted between 2019 and 2021 in Switzerland and South Korea using the same interview guide. We used NLP to extract and quantify textual features to construct a handcrafted lexicon about interpersonal communication of genetic testing results and cancer risk associated with HBOC. Moreover, we examined the role of sentiment in predicting openness of communication using a stepwise linear regression model. To test model accuracy, we used a split-validation set. We measured the performance of the training and testing model using area under the curve, sensitivity, specificity, and root mean square error. Results Higher “openness of communication” scores were associated with higher overall net sentiment score of the narrative, higher fear, being single, having nonacademic education, and higher informational support within the family. Our results demonstrate that NLP was highly effective in analyzing unstructured texts from individuals of different cultural and linguistic backgrounds and could also reliably predict a measure of “openness of communication” (area under the curve=0.72) in the context of genetic cancer risk associated with HBOC. Conclusions Our study showed that NLP can facilitate assessment of openness of communication in individuals carrying a pathogenic variant associated with HBOC. Findings provided promising evidence that various features from narratives such as sentiment and fear are important predictors of interpersonal communication and self-disclosure in this context. Our approach is promising and can be expanded in the field of personalized medicine and technology-mediated communication.
Magnetic bubbles and magnetic towers – I. General properties and simple analytical models

We consider magnetostatic equilibria in which a bounded region D containing a magnetized plasma is either fully confined by a field-free external medium – magnetic bubble equilibria (MBEqs) – or is confined by both such a medium and line-tying in a dense plasma region – magnetic tower equilibria (MTEqs). We first establish some of their general properties. In particular, we derive a series of useful integral equalities relating the magnetic field and the thermal pressures inside and outside D, respectively. We use them to prove the non-existence of an axisymmetric MBEq with a purely poloidal field, and to discuss some recent results of Braithwaite on MBEq formation by relaxation from an initial non-equilibrium state. We next present two families of exact analytical axisymmetric MBEqs with, respectively, spherical and toroidal shapes. The first family is extracted from Prendergast’s model of a self-gravitating magnetized body, while the second one is constructed by using Palumbo’s theory of isodynamic equilibria, for which both magnetic and thermal pressures take constant values on any flux surface. MTEqs with a large variety of structures are thus obtained in a simple way: we start from an arbitrary MBEq and just consider the part of it above a given plane cutting the bubble D. For MBEqs and MTEqs in either family, we compute in closed form most of the interesting physical quantities (such as energy, magnetic helicity and twist). Our results are expected to be useful for building up simple models of several astrophysical objects (such as X-ray cavities in the intracluster medium, jets emitted by disc accreting compact objects, eruptive events in stellar coronae and their ejecta).
Binding structure, breaking forces and conductance of Au-Octanedithiol-Au molecular junction under stretching processes: a DFT-NEGF study

Au-n-octanedithiol-Au molecular junction (Au-SC8S-Au) has been investigated using density functional theory combined with the nonequilibrium Green’s function approach. Theoretically calculated results are used to build the relationship between the interface binding structures and single-molecule quantum conductance of n-octanedithiol (SC8S) embodied in a gold nanogap with or without stretching forces. To understand the electron transport mechanism in the single molecular nanojunction, we designed three types of Au-SC8S-Au nanogaps, including flat electrode through an Au atom connecting (Model I), top-pyramidal or flat electrodes with the molecule adsorbing directly (Model II), and top-pyramidal Au electrodes with Au atomic chains (Model III). We first determined the optimized structures of different Au-SC8S-Au nanogaps, and then predicted the distance-dependent stretching force and conductance in each case. Our calculated results show that in the Model I with an Au atom bridging the flat Au (111) gold electrodes and the SC8S molecule, the conductance decreases exponentially before the fracture of Au–Au bond, in a good agreement with the experimental conductance in the literature. For the top-pyramidal electrode Models II and III, the magnitudes of molecular conductance are larger than that in Model I. Our theoretical calculations also show that the Au–Au bond fracture takes place in Models I and III, while the Au–S bond fracture appears in Model II. This is explained due to the total strength of three synergetic Au–Au bonds stronger than an Au–S bond in Model II. This is supported from the broken force about 2 nN for the Au–Au bond and 3 nN for the Au–S bond.