Miracle-dz/UniFAR-FTUs huggingface dataset:
Reversible control of doping in graphene-on-SiO2 by cooling under gate-voltage

The electronic properties of graphene can be modulated by various doping techniques other than back-gate, but most such methods are not easily reversible and also lead to mobility reduction. Here, we report on the reversible control of doping in graphene by cooling under back-gate-voltage. The observed variation in hysteresis in our devices with the temperature and interface preparation method is attributed to the variation in the density of redox species, namely, H2O and O2, at the graphene/SiO2 interface, and their diffusion. With careful interface preparation, we have been able to make devices with negligible hysteresis at room temperature and by exploiting hysteresis at high temperatures, we get a wide, but reversible tunability of interface charge density and graphene doping, by cooling to room temperature under gate-voltage. Such reversible control of graphene doping by manipulating the interface defect charge density can help in making new data storage devices using graphene.
Resonance Scattering Effects in Wet Hail Observed with a Dual-X-Band-Frequency, Dual-Polarization Doppler on Wheels Radar

Two of the “Doppler on Wheels” facility radars (DOW6 and DOW7) have been upgraded to dual-polarization capabilities and operate at two closely spaced X-band frequencies. For particles with sizes that are large relative to the wavelength, resonance scattering effects may lead to differences in the backscattered radiation between these two frequencies. This study investigates the utility of dual-frequency, dual-polarization DOW radars for hail detection and sizing. T-matrix scattering calculations at the two X-band DOW7 frequencies reveal that dual-frequency differences in the radar reflectivity factors at horizontal polarization (ΔλZH) and differential reflectivities (ΔλZDR) exist for hailstones, whereas negligible differences exist for raindrops. These differences are enhanced for wet or melting hailstones. Further, these dual-frequency differences may be positive or negative, thereby defining four distinct quadrants in the ΔλZH–ΔλZDR parameter space that occur for narrow bands of hail sizes. DOW7 data from two hail-bearing storms are analyzed: one produced only small hail, and the other produced severe hail up to ~3.8 cm in diameter. The analysis reveals dual-frequency signals that are consistent with the scattering calculations for those sizes, including consistent changes in the signatures below the melting layer in the first storm as hailstones acquire more liquid meltwater and a shift in the ΔλZH–ΔλZDR parameter space over time as the second storm grew upscale and hail sizes decreased. Implications for further applications and suggestions about closely spaced dual-frequency observations at other wavelengths are discussed.
The development of entrepreneurial behavioral characteristics in higher education students: empirical reflections

This study aimed to test how entrepreneurial behavioural characteristics (EBC) develop in university students as described by McClelland (1963;1987). The methodological procedures tested McClelland’s perspective (1963;1987) with a sample of 137 university students. Data collection was carried out through a closed questionnaire with fifty-five questions using the 10-point Likert scale, applied by sending an email with the link to the form to respondents. As a result, it was verified that the entrepreneurial behavioural characteristics of the realization and planning categories are well developed and the entrepreneurial behavioural characteristics of the power category are still in development.
Vibration Isolation Characteristics of Impedance-balanced Ship Equipment Foundation under Unbalanced Excitation

A new type of impedance-balanced ship equipment foundation structure based on the principle of impedance balancing using a “discontinuous panel-vibration isolation liquid layer-foundation structure” is proposed to solve the problem of poor low-frequency vibration isolation of the foundation under unbalanced excitation of shipboard equipment. Based on the finite element method, the influence of characteristic parameters of the foundation panel structure on its vibration reduction characteristics under unbalanced excitation is explored. The results show that the vibration isolation level of the impedance-balanced foundation is 10 dB higher than the traditional foundation in the low-frequency band of 10-500 Hz when subjected to combined excitation of concentrated force and moment. Increasing the thickness of the impedance-balanced foundation panel can enhance the isolation effect. Increasing the number of sub-panels can effectively reduce the vibration response of the foundation panel and enhance the isolation performance of the foundation. The connection stiffness between sub-panels has a small effect on the isolation performance of the foundation.
The Impact of Table Tennis on Public Health

In the 21st century, as the society get into the scientific and information era, people do less heavy manual labour than before, and the working time is gradually shortened so they pay more and more attention to sports. In China, table tennis has become a sport that can make the body and mind healthier and more interesting. It can make people have many time to enjoy their lives and many people try to make their rest time full of interests and healthy by means of colorful sport activities. The purpose of this paper is to introduce the impact of table tennis practice on the human body systematically and scientifically, including physiology, body form and psychology. The result of the research indicate that table tennis can have a profound impact on the physical quality of the human body, often participate in table tennis can improve the physical quality of the human body.
A Physically Based Autoconversion Parameterization

AbstractA physically based parameterization for the autoconversion is derived by solving the stochastic collection equation (SCE) with an approximated collection kernel. The collection kernel is constructed using the terminal velocity of cloud droplets and the collision efficiency between cloud droplets that is obtained using a particle trajectory model. The new parameterization proposed in this study is validated through comparison with results obtained by a bin-based direct SCE solver and other autoconversion parameterizations using a box model. The autoconversion-related time scale and drop number concentration are employed for the validation. The results of the new parameterization are shown to most closely match those of the direct SCE solver. It is also shown that the dependency of the autoconversion rate on drop number concentration in the new parameterization is similar to that in the direct SCE solver, which is partially caused by the shape of drop size distribution. The new parameterization and .
The Importance of The Chief Executive Officer (CEO) Characteristics in relation to Firm Value

The purpose of this article is to clarify the relation between CEO characteristics and firm value in the banking industry sector on Indonesia Stock Exchange. This study used 183 data collected from 37 banking companies from 2015 to 2020. The results show that CEO characteristics (gender, MBA degree, tenure) have no effect on firm value as measured using Market to Book Value (MBV). Meanwhile, ROA, Leverage, and financial condition as control variables have an effect on firm value. This result indicates that company policies do not depend on an individual (CEO), but company policies are based on all members board of directors or the top management team. This study has implications for upper echelon theory that CEO is not the only powerful actor who can determine the firm value. Keywords: Firm Value; CEO Characteristic; Upper Echelon; Market to Book Value; IDX Tujuan dari penelitian ini adalah untuk menguji pengaruh karakteristik CEO terhadap nilai perusahaan pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia. Dengan menggunakan sampel sebanyak 37 perusahaan perbankan dari tahun 2015 sampai dengan tahun 2022 terkumpul data sebanyak 193 observasi. Pengujian dilakukan dengan menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa karakteristik CEO (Jenis kelamin, gelar MBA, tenur) tidak berpengaruh terhadap Market to Book Value (MBV) sebagai proksi nilai perusahaan. Leverage dan kondisi keuangan sebagai variable control berpengaruh terhadap nilai perusahaan. Hasil penelitian memberikan indikasi bahwa kebijakan perusahaan tidak hanya tergantung pada seorang individu (CEO) saja namun kebijakan perusahaan didasarkan pada seluruh anggota dalam jajaran dewan direksi atau top management team. Penelitian ini memberikan implikasi terhadap teori upper echelon bahwa CEO bukanlah satu-satunya powerful actor yang dapat menentukan nilai perusahaan. Kata Kunci: Nilai perusahaan; Karakteristik CEO; Eselon Atas; Pasar Nilai Buku; BEI
Influence of recruitment practices on employee turnover in hotels and resorts in Kilifi County, Kenya

The hotel industry is a labour intensive industry with high labour costs on goods and servicesproduced. In order to ensure quality of goods and services at a reasonable price, and compete inthe market, hotels’ and resorts’ management in Kilifi County must have control over theirrecruitment practices, satisfy employees and decrease undesired employee turnover. This paperestablishes the influence of recruitment practices on employee turnover among hotels and resortsin Kilifi County. Employee turnover has been found to be a big challenge for managers andemployees in Kilifi County hotels and resorts and, therefore the most effective way to manage it isthrough adoption of effective recruitment and selection practices. The study adopted bothexplanatory and descriptive research design employing stratified random sampling technique toselect respondents working in the different levels of the hotels. From a target population of 602employees in twenty four (24) hotels, a sample size of 180 respondents was drawn. For datacollection, questionnaire guide was used. Both inferential and descriptive statistics were used indata analysis which thence is presented in tables. The authors recommend making the workforceof employees not majorly composed youth category and hiring professional employees withcollege certificate or diploma for vacant positions. All hotels and resorts should have a humanresource office that handles all human resource related matters and which will spearhead therecruitment and selection function; with an annual budget allocation, a recruitment and selectionpanel, and performance of job analysis before filling of vacancies. Having accurate jobdescriptions and person specifications is a pre-requisite to the process.
Stabilization of One-Dimensional Wave Equation With Nonlinear Boundary Condition Subject to Boundary Control Matched Disturbance

In this paper, we consider the stabilization of a one-dimensional wave equation with nonlinear van der Pol type boundary condition that covers the antistable boundary, and subject to boundary control matched disturbance on the other side. Due to the nonlinear boundary condition and disturbance, the uncontrolled system may present spatiotemporal chaotic, period-doubling bifurcation, and some other dynamical behaviors. We will deal with this disturbance, which is supposed to be bounded only, by the integral sliding mode control. The well-posedness of the system for the closed-loop system is proved and the “reaching condition” is obtained. Finally, we provide some numerical simulations to illustrate the theoretical outcomes.
Development of N N SMRT for N a power of 2 and its Applications in Image Enhancement

Digital Image Processing is a rapidly evolving field with growing applications in Science and Engineering. It involves changing the nature of an image in order to either improve its pictorial information for human interpretation or render it more suitable for autonomous machine perception. One of the major areas of image processing for human vision applications is image enhancement. The principal goal of image enhancement is to improve visual quality of an image, typically by taking advantage of the response of human visual system. Image enhancement methods are carried out usually in the pixel domain. Transform domain methods can often provide another way to interpret and understand image contents. A suitable transform, thus selected, should have less computational complexity. Sequency ordered arrangement of unique MRT (Mapped Real Transform) coefficients can give rise to an integer-to-integer transform, named Sequency based unique MRT (SMRT), suitable for image processing applications. The development of the SMRT from UMRT (Unique MRT), forward & inverse SMRT algorithms and the basis functions are introduced. A few properties of the SMRT are explored and its scope in lossless text compression is presented. The capability of SMRT in image enhancement is considered next. Linear and nonlinear algorithms based on global and block level processing are investigated. The theory of fuzzy logic offers an extensive mathematical framework to capture the uncertainties associated with human cognitive processes. So the advantages of fuzzy techniques are also examined in developing image enhancement algorithms. Traditionally, quality of an image has been evaluated by humans. This method, though reliable, is time consuming and impractical for real-world applications that involve the use of computers for image quality assessment. So, it is important that identification of objective quality assessment metrics, that can automatically measure image quality, are to be obtained. Analysis of existing and proposed metrics for measurement of image quality with respect to brightness, sharpness, contrast and their combination has been carried out in this work. The important contributions of this work are listed below. • Two dimensional Sequency ordered transform called SMRT and its inverse for a data size that is a power of 2. • Development of Image Quality Assessment (IQA) metrics in the pixel domain and SMRT domain for measuring enhancement of images. • Analysis of existing and proposed metrics to measure brightness, contrast, sharpness and their combination for general and medical images. • Linear and nonlinear global image enhancement techniques in the SMRT domain for general, mammogram, fingerprint images and scanned text documents. • Fuzzy intensification operator based and fuzzy rule based block level enhancement methods in the SMRT domain. • Scope of SMRT for text compression is explored.
Extreme-Value Statistics for Testing Dark Energy

Abstract The integrated Sachs-Wolfe effect was recently detected at a level of 4. 4σ by [Granett et al. (2008)], by stacking compensated CMB temperature patches corresponding to superstructures in the universe. We test the reported signal using realistic gaussian random realizations of the CMB sky, based on the temperature power spectrum predicted by the concordance ΛCDM model. Such simulations provide a complementary approach to the largely used N-body simulations and allow to include the contaminant effects due to small-scale temperature fluctuations. We also apply our pipeline to foreground-cleaned CMB sky maps using the [Granett et al. (2008)] voids/clusters catalog. We confirm the detection of a signal, which depart from the null hypothesis by 3. 5σ, and we report a tension with our theoretical estimates at a significance of about 2. 5σ.
Improved Recognition Accuracy of Myrrh Decoction Pieces by Electronic Nose Technology Using GC-MS Analysis and Sensor Selection

The quality of myrrh decoction pieces can be influenced by factors such as origin, source, and processing methods. The quality of myrrh in the market varies greatly, and adulteration is a serious issue, highlighting the urgent need for improved quality control measures. This study explores the integration of GC–MS analysis and sensor selection in electronic nose technology for the improved classification of myrrh decoction pieces. GC–MS analysis revealed the presence of 130 volatile compounds in the six myrrh samples, primarily composed of alkene compounds, and each sample exhibited variations in composition. An electronic nose system was designed using a sensor array consisting of six sensors selected from twelve sensors capable of detecting volatile compounds consistent with myrrh composition, including WO3 quantum dots, Fe2O3 hollow nanorods, ZnFe2O4 nanorods, SnO2 nanowires, and two commercially available sensors. The sensors exhibited distinct response patterns to the myrrh samples, indicating their suitability for myrrh analysis. Various sensor parameters, including response, response and recovery time, integral area, and slope, were computed to characterize the sensors’ performance. These parameters provided valuable insight into the sensor–gas interactions and the unique chemical profiles of the myrrh samples. The LDA model demonstrated high accuracy in differentiating between the myrrh types, utilizing the discriminative features captured by the sensor array, with a classification accuracy of 90% on the testing set. This research provides a comprehensive evaluation method for the quality control of myrrh pieces and a scientific basis for the development and utilization of myrrh.
Sensitivity functions and numerical analysis of the repeated median slope

Recently it has been shown that the repeated median slope estimator converges at the n 1=2 rate, and is asymptotically normal with a gaussian e ciency of 40.5%. On the other hand, simulations indicate that its nite-sample e ciency converges extremely slowly to the limiting value. Our goal is to explain this unusual phenomenon by constructing nite-sample sensitivity functions, and by investigating key quantities with numerical analysis methods.
Research on Electric Load Identification Method of Integrated Energy System Based on Image Analysis

Aiming at the problem that the identification accuracy of traditional non-invasive load identification algorithm in low-frequency sampled data under the background of integrated energy system(IES) is low, a comprehensive energy load identification algorithm based on Markov transition field (MTF) and densely connected network (DenseNet) was proposed. The power information is converted into color image features by MTF coding to improve the identification. The image data is input into the DenseNet121 deep convolutional neural network to extract the feature information and finally realize the accurate identification of load types. The identification method is verified in many aspects on the public data set and compared with other classification algorithms. The results show that MTF images have clear and easily distinguishable feature information, which strengthens the feature expression of input network. DenseNet network's powerful deep feature capture ability can effectively solve the problem of information loss in the process of image coding, thus improving the identification accuracy of power load type under the background of IES.
Reduced cingulate gyrus volume in Cavalier King Charles Spaniels with syringomyelia and neuropathic pain revealed by voxel-based morphometry: a pilot study

Objective Pathomorphological alterations of the central nervous system in dogs, such as syringomyelia and Chiari-like malformation, can cause cranial and cervical hyperesthesia and neuropathic pain. The long-term activity of the pain network can induce functional alteration and eventually even morphological changes in the pain network. This may happen especially in the prefrontal and cingulate cortex, where atrophy of the gray matter (GM) was observed in humans with chronic pain, irrespective of the nature of the pain syndrome. We tested the hypothesis that Cavalier King Charles Spaniels (CKCS) with Chiari-like malformation and associated syringomyelia (SM) and pain show cerebral morphological differences compared to animals without signs of syringomyelia and pain. Methods Volumetric datasets of 28 different brain structures were analyzed in a retrospective manner, including voxel-based morphometry, using magnetic resonance imaging data obtained from 41 dogs. Results Volumetric analyses revealed a decrease in GM volumes in the cingulate gyrus (CG) in CKCS with SM and chronic pain when normalized to brain volume. This finding was supported by voxel-based morphometry, which showed a cluster of significance within the CG. Conclusion GM atrophy in the CG is associated with chronic pain and thus may serve as an objective readout parameter for the diagnosis or treatment of canine pain syndromes.
Magnetohydrodynamic Spectral Theory of Laboratory and Astrophysical Plasmas

Spectral theory of linear waves and instabilities of magnet ohydrodynamics (MHD) describes an enormous variety of plasma dynamics in the laboratory and in the Universe. The reason is the abundance of plasma: more than 90% of visible matter in the Un iverse is plasma, whereas dark matter may have a substantial plasma component as well. The t heoretical basis comes from the fact that the MHD equations are scale-independent and that M HD spectral theory can be cast in a completely analogous form to that of quantum mechanics: the MHD force operator is self-adjoint in the Hilbert space of plasma displacement vectors [1]. Nev ertheless, MHD spectral theory is still very incomplete at present. In particular, group theo retical investigation of symmetry properties has hardly been undertaken. Considering the central role plasmas are to play in a future model of the Universe, this calls for a major mathematical ef fort. Probably,thecomplicating factor is the omni-presence of large backgrou nd flows, which are often super‘sonic’ (surpassing one the three critical MHD speeds ), implying that the standard picture developed for static plasmas breaks down: Plasma dynamics i s to be described by non-selfadjoint operatorsand the necessary background states are frequently transonic. The mathematical problems associated with these two features are enormous, but re cently found monotonicity properties of the complex spectrum and singularities in the equilibriu m flows provide confidence that a meaningful structure will eventually emerge. This will be illustrated with recent results on the spectrum of accretion disks [2] and new instabilities driven by transonic transitions of the flow that inv ol e singulartransslow Alfvén modes with a continuous spectrum[3]. Except that these instabilities appear to have excitin g physical properties (facilitating accretion flows and jet formation ), they have quite interesting geometrical properties as well since they ‘live’ on the curved twodi mensional surfaces spanned by the plasma velocity and magnetic fields.