Miracle-dz/UniFAR-FTUs huggingface dataset:
Existence of Negative Gravity Material Identification of Dark Energy Dark Matter Isothermal Gravitational Equilibrium and Galactic Rotation Theory

A solution to Einstein's field equations via the Friedman equations is shown to produce a cosmological model that is in exact agreement with the measurements made by the dark energy astronomers. All the essential physical parameters are obtained as epoch dependent functions all in closed form. The equations of state are obtained for total density, non-dark energy density and dark energy density. An interpretation of the structure involving a dark energy mass distribution that is twice the usual value is shown to clarify greatly the physical significance of the mathematics. It is asserted that the astronomer's measurements together with the mathematical model proves that the universe is permeated uniformly with a positive mass density that caries a negative gravitational constant, -G, characteristic. This mass component is identified with the dark energy content of the universe that has been postulated to explain the observed acceleration. Another result implied by the model is that there is twice the amount of dark energy that is usually considered to be present. This last point is analysed in more detail in appendix 1 using Einstein's field equations. Five additional appendices, 2, 3, 4, 5 and 6 in which isothermal gravitational dark matter equilibrium and the galactic rotations curve flatness problem are examined in detail. Appendix 5 is concerned with mass clumping and expressing gravitational isothermal equilibrium constraints using a cosmological Schrodinger equation to demonstrate the existence of a new quantum force involved with galactic stability. Appendix 6 is concerned with gravitational quantization. Each appendix has its own abstract.
UXWN: analysis and improvement of a logical form resource for NLP

Logical Form is an exceptionally important linguistic representation for highly demanding semantically related tasks like Question Answering. In this work I present different types of Logical Form and in particular I investigate those resources that provide a Logical Form of the WordNet Glosses. I take a closer look to one of them, eXtended WordNet, and I analyse its weaknesses and strengths. After classifying the most common errors of this resource, I semi automatically correct them and the result is a new resource: United eXtended WordNet.
Bi-objective Approach for Power Quality Monitors Allocation Problem

This paper aims to choose power quality monitors optimum locations for monitoring short-duration voltage variations. Besides reduce the monitoring system cost and ensure the coverage of the whole system, this research explores the potential of the monitors arrangement for fault location purpose. It proposes a multiobjective approach with two objectives: minimization of power quality monitors quantity and maximization of identified events. The Algorithm for Bicriteria Discrete Optimization finds all non-dominated solutions for the optimization model applied to the IEEE 13 bus test feeder. The results analysis showed the method functionality and proved its applicability to power distribution systems.
A New Sliding Mode-based Power Sharing Control Method for Multiple Energy Sources in the Microgrid under Different Conditions

A single-phase distributed generation (DG) sources embedded in three-phase microgrids develop with a fast-paced trend, it is important to make use of suitable power sharing strategies among multiple DGs and utilizing the power generation of these units to the full capacity. This paper presents an innovative sliding mode-based power control strategy for microgrids. The multi-bus microgrid consists of three-phase DG units that are two photovoltaic (PV) array, and three single-phase DG units including PV, battery and fuel cell (FC). The dynamic modeling of all DGs is based on voltage source inverter (VSI). One of the three-phase DGs is responsible for frequency and voltage control, and the other one for current control. The single-phase DGs are controlled based on the three-phase DGs. Finally, the voltage and power control operations are implemented in a per-unit system. The proposed control strategy has a fast response and the ability to trace a reference signal with a low steady-state error compared with the PI controller; moreover, it provides the accurate active and reactive power sharing among energy units under various loading and fault conditions along with robustness against the microgrid parameters. Additionally, the ability to maintain the dc-link voltage and frequency constant is another feature of this controller.
Intelligent Operation and Maintenance Technology of Converter Valve Based on Augmented Reality and Model Layering Technology

According to the DC converter valve and other large power equipment, the research model of hierarchical reconstruction technology based on traditional panoramic 3D model, construction of converter valve panoramic hierarchical model, the structural layer, the operation of the equipment electrical layers show more accurately show the relationship between assembly of internal layers between the components of the operation. Innovative use of direct slicing of 3D model, without intermediary file conversion, the geometric features of large power equipment of 3D model forming slice spire deviation of different distribution forms of lower slice contour, accurate extraction of 3D model in the section contour data specified at the height, while the physical layer, electrical layer the different internal structure of real-time hierarchical display, in order to solve the geometric model data format conversion caused by the loss of precision problem description. The monitoring data of the operation of the equipment and the virtual model integration superimposed by augmented reality show, the staff is more intuitive understanding of the inside and outside of the equipment structure, quickly get parts corresponding to the operation state, field operations personnel more accurate operation of auxiliary comprehensive judgment of equipment and parts of the overall view. Improve the efficiency of on-site inspection of large-scale power equipment and the accuracy of field equipment diagnosis.
Quantile Estimation of Non-Stationary Panel Data Censored Regression Models

We propose an estimation procedure for (semiparametric) panel data censored regression models in which the error terms may be subject to general forms of non-stationarity, thus permitting heteroscedasticity over time. The proposed estimator exploits a weak structural form imposed on the individual speci c e®ect. This is in contrast to the estimators introduced in Honor¶e(1992) where the individual e®ect was left completely unspeci ed, but a stationarity assumption was imposed on the error terms. We adopt a two-stage procedure based on nonparametric quantile regression, similar to that used in Khan(1997a,b) and Chen and Khan(1998). An attractive feature about this approach is that it allows for very general forms of cross sectional conditional heteroscedasticity as well. Furthermore, the proposed procedure can be easily extended to estimate a more general class of censored panel data models which allow for time varying loading factors on the individual speci c e®ects. The proposed estimators are shown to be p n-consistent and asymptotically normal under regularity conditions which are common in the literature. A small scale simulation study is conducted to illustrate both the nite sample properties of these estimators as well as the sensitivity of Honor¶e's estimator to non-stationary errors. JEL Classi cation: C14,C23,C24
Quasiparticle light elements and quantum condensates in nuclear matter

Nuclei in dense matter are influenced by the medium. In the cluster mean field approximation, an effective Schrodinger equation for the A-particle cluster is obtained accounting for the effects of the surrounding medium, such as self-energy and Pauli blocking. Similar to the single-baryon states (free neutrons and protons), the light elements (2 ≤ A ≤ 4, internal quantum state ν) are treated as quasiparticles with energies EA,ν(P; T, nn, np) that depend on the center of mass momentum P⃗, the temperature T, and the total densities nn, np of neutrons and protons, respectively. We consider the composition and thermodynamic properties of nuclear matter at low densities. At low temperatures, quartetting is expected to occur. Consequences for different physical properties of nuclear matter and finite nuclei are discussed.
Strain Imaging of Coronary Arteries with Intraluminal Ultrasound: Experiments on an Inhomogeneous Phantom

In coronary arteries, knowing the relative stiffness of atherosclerotic lesions can help physicians select the most appropriate therapeutic modality. Because soft material supports larger strains than hard, measurements of this quantity can distinguish tissue of differing stiffness. In a previous paper, we described techniques for computing displacements and strains in coronary arteries using an integrated angioplasty and imaging catheter. Here, we demonstrate that hard and soft materials in a tissue-mimicking phantom can be differentiated with this device. Because tissue motion cannot be distinguished from catheter motion a priori, we perform all computations in the coordinate system centered at the balloon's geometric center. This reference frame depends only on balloon shape and is independent of catheter motion. A specialized correlation-based, phase-sensitive speckle tracking algorithm has been developed to compute strain. Maximum phantom displacement was about 25 μm, and the maximum radial, normal strain was about 1.5 percent.
Scientometric Indicators and Machine Learning-Based Models for Predicting Rising Stars in Academia

Newly recruited researchers who are expected to outstandingly surpass their peers in the quality of their work, are often considered as substantial assets in universities and research & development entities. Foreseeably identifying such Rising Stars is vital for highly competitive and profitable institutes and organizations. In this paper, we propose models based on a set of Scientometric Indicators to predict rising stars in academia. In addition, we define the rising stars problem in a comprehensive and methodological manner. Machine learning techniques are applied on actual data subsets collected from the Web of Science (WoS) data source. Our experimental results show that the proposed models and indicators can be used effectively in predicting future rising stars.
MEMBANGUN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA PONDOK PESANTREN SALAFIYAH AL-BAQIYATUSSA’DIYYAH TEMBILAHAN

Information system are running at the Islamic School Salafiyah Al-Baqiyatussa’diyyah Tembilahan, that the academic data processing still using a simple computerized system. Althought it is supported by the computer but only use standard office (Microsoft Office Excel and Word) that allows a lot of errors in the processing of academic data, and the cause of academic services providedby the Islamic school Salafiyah Al-Baqiyatussa’diyyah Tembilahan to be less efficient, and the resulting difficulty in data search and seize a relatively long time in the making of the report. To assist in solving these problem is need fr a new academic information system so that any work involving the processing of data can be reduced and the error rate can provide satisfactory services of the user the system. On the design of academic information system is ilustrated in the diagram Unified Modelling Language (UML). Keyword : Akademik, Sistem Informasi, SDLC, UML.
Loss Quantization of Reflectarray Antenna Based on Organic Substrate Materials

This paper presents novel loss quantization of reflectarray elements based on organic substrate materials. Three differently composed substrate materials derived from recycled materials have been characterized for their dielectric properties using a broadband analysis technique. The materials show low dielectric permittivity values of 1.81, 1.62 and 1.84 for X-band frequency range. In order to estimate the reflection loss of for the three substrates a mathematical relation has been established using empirical data generated by computer simulated models. The reliability of the proposed model has been established by simulation and fabrication of unit reflectarray rectangular patch elements on three proposed substrate substrates. A broadband frequency response has been depicted by scattering parameter analysis of unit elements with 10% fractional bandwidth of 312, 340 and 207 MHz for RCP50, RCR75 and RNP50 substrate respectively.
How Organizational Culture Affects Information System Success: The Case of an Indonesia IT-Based Company

This research aims at exploring the effect of organizational culture, especially clan culture, toward the success of information system implementation. A conceptual model of information system success had been developed by integrating DeLone-McLean model, technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT). Competing values model (CVM) is being used for organizational model, as such the assessment for organizational culture is using organizational culture assessment instrument (OCAI). To test the proposed conceptual model, empirical study was conducted at a IT-based company using questionnaire and gave the total of 319 usable data samples. The data analysis is using SmartPLS3 due to the abnormality of data distribution. The OCAI assessment shows that the company has a tendency toward clan culture which is quite unexpected for an IT-based company. However, further analysis shows that the company has successfully mixed clan culture with the less-dominant types of culture to create a conducive culture for the success of information system implementation. This study sheds light on IT implementation for business organizations especially the ones which have clan culture as a dominant culture embedded in their organizations.
Deformed Matrix Models, Supersymmetric Lattice Twists and N=1/4 Supersymmetry

A manifestly supersymmetric nonperturbative matrix regularization for a twisted version of N = (8, 8) theory on a curved background (a two-sphere) is constructed. Both continuum and the matrix regularization respect four exact scalar supersymmetries under a twisted version of the supersymmetry algebra. We then discuss a succinct Q = 1 deformed matrix model regularization of N = 4 SYM in d = 4, which is equivalent to a non-commutative A*{sub 4} orbifold lattice formulation. Motivated by recent progress in supersymmetric lattices, we also propose a N = 1/4 supersymmetry preserving deformation of N = 4 SYM theory on R{sup 4}. In this class of N = 1/4 theories, both the regularized and continuum theory respect the same set of (scalar) supersymmetry. By using the equivalence of the deformed matrix models with the lattice formulations, we give a very simple physical argument on why the exact lattice supersymmetry must be a subset of scalar subalgebra. This argument disagrees with the recent claims of the link approach, for which we give a new interpretation.
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning

The current paper proposes how model risk management in operationalizing machine learning for algorithm deployment can be applied in national C4I and Cyber projects such as Project Maven. It builds upon recent leadership of global Management and Leadership industry executives for AI and Machine Learning Executive Education for MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and invited presentations at Princeton University. After building understanding about why model risk management is most crucial to robust AI, Machine Learning, Deep Learning, and, Neural Networks deployment, it introduces a Knowledge Management Framework for Model Risk Management to advance beyond ‘AI Automation’ to ‘AI Augmentation. ’
Behaviour Of Coupling Beams Having VerticalSlits At The Ends

Architectural considerations and functional use result in door openings on the shear walls of tunnel form buildings, which cause coupled shear walls to be connected by short, deep and thin coupling beams. These coupling beams are subjected to higher shear forces and their thickness becomes generally less than 250mm for the tunnel form buildings, and much less than their counterparts in conventional reinforced concrete structures. It is simply not possible to design practically constructible coupling beams in the tunnel form buildings. In a coupled shear wall system, shear forces acting on the coupling beams can be reduced simply by the application of vertical separation joints (slits) at the ends of the coupling beams. As a design alternative, the use of slit connections at the ends of the coupling beams to be able to decrease the shear stiffness and shear forces was analytically investigated. Shear stiffness terms of common slit connected coupling beams (SCCBs) were derived by using plane stress finite elements. To be specific, extensive parametric study with respect to the geometry of a SCCB was carried out. Coupling beam heights, coupling beam lengths, slit heights and slit lengths were varied in an extensive parametric study to demonstrate their influences on the shear stiffness terms.
Comparison of approximately isothermal gravitational potentials of elliptical galaxies based on X-ray and optical data

ABSTRACT We analyze six X-ray bright elliptical galaxies, observed with Chandra and XMM-Newton, and approximate their gravitational potentials by isothermal spheres ϕ =v 2c logr over a range of radii from ∼0.5 to ∼ 25 kpc. We then compare the circularspeed v c derived from X-ray data with the estimators available from optical data. Inparticular we discuss two simple and robust procedures for evaluating the circularspeed of the galaxy using the observed optical surface brightness and the line-of-sight velocity dispersion proﬁles. The best ﬁtting relation between the circular speedsderived from optical observations of stars and X-ray observations of hot gas is v c,opt ≃η v c,X , where η = 1.10 − 1.15 (depending on the method), suggesting, albeit withlarge statistical and systematic uncertainties, that non-thermal pressure on averagecontributes ∼20-30% of the gas thermal pressure.Key words: Galaxies: Kinematics and Dynamics, X-Rays: Galaxies: Clusters 1 INTRODUCTIONIn spiral galaxies, disk rotation curves oﬀer an accurateand robust way of measuring total gravitational potentialsto distances as large as 10–30 kpc. To a ﬁrst approxi-mation the rotation curves are ﬂat over a broad rangeof radii, suggesting an isothermal (logarithmic) potentialcharacterized by ϕ(r) = v
SECOND ORDER DERIVATIVE SUPERSYMMETRY, q DEFORMATIONS AND THE SCATTERING PROBLEM

In a search for pairs of quantum systems linked by dynamical symmetries, we give a systematic analysis of novel extensions of standard one-dimensional supersymmetric quantum mechanics. The most general supercharges involving higher order derivatives are introduced, leading to an algebra which incorporates a higher order polynomial of the Hamiltonian. We investigate the condition for irreducibility of such a higher order generator to a product of standard first derivative Darboux transformations. As a new example of application of this approach we study the quantum-mechanical radial problem including the scattering amplitudes. We also investigate the links between this higher derivative SUSY and a q-deformed supersymmetric quantum mechanics and introduce the notion of self-similarity in momentum space. An explicit model for the scattering amplitude is constructed in terms of a hypergeometric function which corresponds to a reflectionless potential with infinitely many bound states.
Further study of the E+ E- --> F anti-F process with the aid of CalcPHEP system

In this paper we complete a description of calculation of the one-loop amplitude for e+e- -->f fbar process started in CERN-TH/2001-308. This study is performed within the framework of the project CalcPHEP. Here we add QED subsets of the one-loop diagrams and the soft-photon contribution. The formulae we derived are realized in two independent FORTRAN codes,eeffLib, which was written in an old fashioned way, i.e. manually, and another one, created automatically with an aid of s2n_f (symbols to numbers) software -- a part of CalcPHEP system. We present a comprehensive comparison between the two our codes as well as with the results existing in the world literature.
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification

In this paper, we propose a noise robust bottleneck feature representation which is generated by an adversarial network (AN). The AN includes two cascade connected networks, an encoding network (EN) and a discriminative network (DN). Mel-frequency cepstral coefficients (MFCCs) of clean and noisy speech are used as input to the EN and the output of the EN is used as the noise robust feature. The EN and DN are trained in turn, namely, when training the DN, noise types are selected as the training labels and when training the EN, all labels are set as the same, i.e., the clean speech label, which aims to make the AN features invariant to noise and thus achieve noise robustness. We evaluate the performance of the proposed feature on a Gaussian Mixture Model-Universal Background Model based speaker verification system, and make comparison to MFCC features of speech enhanced by short-time spectral amplitude minimum mean square error (STSA-MMSE) and deep neural network-based speech enhancement (DNN-SE) methods. Experimental results on the RSR2015 database show that the proposed AN bottleneck feature (AN-BN) dramatically outperforms the STSA-MMSE and DNN-SE based MFCCs for different noise types and signal-to-noise ratios. Furthermore, the AN-BN feature is able to improve the speaker verification performance under the clean condition.
Automated scoring for short answering subjective test in Thai’s language

Natural language processing is widely used in the real life. Natural language understanding is an important part of it to make a machine understands a language. This paper proposes an automated scoring system for a short answering subjective test in Thai’s language. A finite state machine and word2vec are used to create a scoring machine. Many challenge issues to be solved such as problems of Thai’s language, problems of a small number of words appeared in an answer, and problems about flexible of grading. The proposed method able to create an automated scoring machine after there is an exam question. With the proposed technique, there is no need to wait student’s answers for creating a model as many previous works. The experimental result shows that the proposed method gives a score nearly scoring by humans.
“These are my camera glasses”: Wearable Digital Video Glasses for Recording and Examining Young Children’s Social Interactions

As new technologies emerge and evolve, possibilities open up for their use in research. In this article, we consider wearable digital video glasses as a data collection tool in qualitative research involving child participants. We draw on data from a recording made during our pilot study of the ways young children’s social interactions produced learning opportunities during family shopping experiences. The recording was produced when the digital video glasses were worn by one six-year old boy when shopping with his family. Four extracts from the recording are analysed briefly to demonstrate how data collected through use of the digital video glasses informed transcription and the analysis. Issues and implications for use of the wearable technology are discussed focusing on methodology and methods, implications for transcription, benefits and limitations as a data collection tool, ethical considerations and applicability for researching young children’s social interactions.