Miracle-dz/UniFAR-FTUs huggingface dataset:
Systematic Analysis of Machine Learning and Feature Selection Techniques for Prediction of the Kp Index

The Kp index is a measure of the midlatitude global geomagnetic activity and represents short‐term magnetic variations driven by solar wind plasma and interplanetary magnetic field. The Kp index is one of the most widely used indicators for space weather alerts and serves as input to various models, such as for the thermosphere and the radiation belts. It is therefore crucial to predict the Kp index accurately. Previous work in this area has mostly employed artificial neural networks to nowcast Kp, based their inferences on the recent history of Kp and on solar wind measurements at L1. In this study, we systematically test how different machine learning techniques perform on the task of nowcasting and forecasting Kp for prediction horizons of up to 12 hr. Additionally, we investigate different methods of machine learning and information theory for selecting the optimal inputs to a predictive model. We illustrate how these methods can be applied to select the most important inputs to a predictive model of Kp and to significantly reduce input dimensionality. We compare our best performing models based on a reduced set of optimal inputs with the existing models of Kp, using different test intervals, and show how this selection can affect model performance.
Clinical Audit in Palliative Care

In this age of modern era, the use of internet must be maximized. Yeah, internet will help us very much not only for important thing but also for daily activities. Many people now, from any level can use internet. The sources of internet connection can also be enjoyed in many places. As one of the benefits is to get the on-line clinical audit in palliative care book, as the world window, as many people suggest.
Investigation of Harmonic Losses in a Two-Pole Slotless Permanent-Magnet Motor Due to Wide Bandgap Inverter Supply

The recent emergence of wide bandgap power devices enables higher switching frequencies in electric motor drives. The subsequent possibility for higher efficiency and smaller size requires accurate prediction of harmonic losses in motors. Therefore, in this article, an original analysis of harmonic losses arising in inverter-fed two-pole slotless permanent-magnet machines with axially segmented ring magnets is presented. The developed three-dimensional time-efficient numerical model is successfully validated under high-speed no-load operation using a silicon carbide based three-phase inverter and rotors carrying a broad range of magnet segment thicknesses (3–12.6 mm). The model enables harmonic loss prediction capability (including loss separation) with an accuracy of 15% over a wide frequency range (8–120 kHz), which is a unique contribution. The sensitivity analysis primarily emphasizes the importance of taking into account the axial segmentation, and secondarily the rotor-shaft magnetoelasticity effects for accurate modeling of harmonic losses. The conducted case study demonstrates that wide bandgap transistors effectively can contribute to eliminating the need for inductive filters in motor drives.
Using deep learning to understand patterns of player movement in basketball

National Basketball Association (NBA) coaches spend a great deal of time analyzing the effectiveness of various strategies. Typically, this entails countless hours pouring over videos of games, and trying to derive generalizable conclusions from hundreds of thousands of examples. In this thesis, we present a methodology for quantitatively approaching this task. We start from player tracking data that records the position on the court of each player 25 times per second. We use an unsupervised machine learning pipeline to learn a low-dimensional encoding for each player’s movement, over one possession on offense. Each encoding captures the semantics of a single player’s movement, such as locations of the endpoints, screen actions, court coverage, and other spatial features. We generate 3 million such trajectory-embeddings from 3 seasons of data. These can be clustered to reveal trends in player movement between sets of games. Our framework can be used to answer such questions as “How did Klay Thompson’s movements change between wins and losses during the 2016 NBA Finals? ” (18% of his trajectories in wins were movements between the sidelines and corners, compared to 3.5% in losses) and “How much more frequently did Andre Drummond establish position on the right block than the left block during the 2015-2016 regular season? ” (Almost 40% of his trajectories from 2015-2016 were right of the basket, compared to less than 15% to the left). Thesis Supervisor: John Guttag Title: Professor, Electrical Engineering and Computer Science
An SDE model for surface roughness progression

Abstract A stochastic differential equation (SDE) is derived for modeling the evolution of root mean square surface roughness, , for various deterioration, deposition, or smoothing processes. The model indicates, for deterioration, deposition, or smoothing, that where a and b are nonnegative constants. For small time, approximately changes linearly with time t but approaches a limiting (saturated) value as time increases. Roughness data for eight different physical processes support the model results.
A Two-Dimensional Multibeam Lens Antenna for Hydrologic Radar Application

A K-band multibeam lens antenna is reported for hydrological radar applications. It is designed with a shared aperture and drifted feeds on elevation and azimuth. The feeds shift off the focal point of the lens onto a planar plane, which generates multibeam by refraction, meanwhile easing the mounting of the lens on a smooth surface. A conical horn array is designed as the feed for increased gain and better power capacity. Both dielectric and metallic three-dimensional printing technologies are adopted for fabrication. Measurement results agree with simulation, showing an impedance bandwidth of 18–25 GHz. The boresight gain lies in the range of 24–29 dBi. It radiates seven beams ±34° symmetrically on elevation and azimuth. Mutual coupling between adjacent ports is below −30 dB. The proposed multibeam lens enriches the choices for hydrological radar applications, in which a large area or multiple targets shall be looked upon from distance away.
Consensus and $H_{\infty }$ Consensus of Nonlinear Second-Order Multi-Agent Systems

This paper investigates the consensus problem for a class of nonlinear second-order multi-agent system with and without external disturbances. First, by making use of some inequality techniques and the designed state feedback controller, a consensus criterion is presented for the multi-agent system. In addition, an adaptive control scheme is also developed to ensure the consensus of the multi-agent system. Moreover, we further discuss the <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> consensus problem for the multi-agent system, and some <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> consensus criteria are acquired by using the designed state feedback controller and adaptive state feedback controller. Finally, we propose two numerical examples to verify the effectiveness of these obtained results.
Civic engagement, social capital, and ideological extremity: Exploring online political engagement and political expression on Facebook

Using a method incorporating both survey and trace data measures, this study presented and tested a theoretical model for understanding political expression on Facebook. The data suggested that self-reported measures of offline civic engagement, bonded social capital, and ideological extremity were predictive of a self-reported measure of general online political engagement. For its part, self-reported levels of online political engagement were positively and significantly associated with observed political expression on Facebook. These results are discussed in the context of both on and offline political connection and communication.
Taste masking pharmaceutical composition

本発明は、クラリスロマイシンなどの不快な味および／または苦味を有する活性物質を含む被覆粒子と、およびすぐ使用できる懸濁液剤内の水性懸濁媒体と懸濁液剤主成分との混合物が高い浸透圧重量モル濃度を得ることを可能にする浸透圧活性物質を含む懸濁液剤主成分とを含む、すぐ使用できる懸濁液剤の調製に適した経口投与のための医薬組成物に関する。 前記すぐ使用できる懸濁液剤は、規定された浸透圧条件により長時間にわたってその嗜好性を維持する。
DIFFERENTIALLY-FED, MULTI-BAND DUAL-POLARIZED FILTERING PATCH ANTENNA WITHOUT EXTRA CIRCUITS

In this paper, a multi-band patch antenna with bandpass filtering response is proposed. The antenna consists of two pairs of crossed dipoles, four Γ-shaped feedlines, and four steeped-impedance microstrip lines. With the introduction of Γ-shaped feedlines and U-shaped slots on the radiating patch, extra radiation nulls are induced, and four operation bands with band-pass filtering response are obtained. More importantly, the filtering response of the antenna is generated without any filtering circuits, which is easy to design for antenna engineers. Measured results of the prototype show that the proposed antenna has stable radiation patterns with low cross-polarization level of better than −26 dBi over the four operation bands. Good filtering response with deep roll-off can also be observed between different operation bands. Excellent radiating performances make it a promising candidate for 5G wireless communication systems.
Initial conditions of dynamic panel data models: on within and between equations

This paper investigates the quasi-maximum likelihood estimation of short dynamic panel data models. We consider their estimation on both fixed effects and random effects specifications and propose a Hausman test when exogenous variables are present. For a dynamic panel model, initial conditions play important roles in model structure and estimation, and they give rise to a between equation under the random effects framework. With the between equation properly defined, we show that the random effects model can be decomposed into a within equation and a between equation; hence, the random effects estimate is a pooling of the within and between estimates. Thus, our paper extends the pooling in the static panel data model (Maddala, 1971a) to the setting of dynamic panel data. This decomposition of a dynamic panel data model is revealing and valuable for estimation and the formulation of a Hausman test to test the possible correlation of individual effects with included regressors. Monte Carlo experiments are conducted to investigate the finite sample performance of estimators and the Hausman test. An empirical application of growth convergence in OECD countries is provided.
Voice Conversion without Explicit Separation of Source and Filter Components Based on Non-negative Matrix Factorization

This paper introduces a new voice conversion (VC) technique which performs spectrogram-to-spectrogram conversion. Conventional studies on VC focus on spectral envelopes, which represent vocal tract information. While vocoders have enabled light-weight and high-quality synthesis from the features, ﬂex-ibility and quality is still limited by parameterization. To overcome the limitation, this paper aims to model and convert spec-trograms themselves. In general, spectrograms are too complicated to be modeled because they contain not only spectral envelopes but also source structures. This paper adopts source-ﬁlter non-negative matrix factorization (SF-NMF) as a conversion model of spectrograms. SF-NMF is an extended model of non-negative matrix factorization (NMF), and models source and ﬁlter components jointly without explicit separation. The proposed method generates waveforms by reconstructing phase information from amplitude spectrograms. Since SF-NMF requests log-frequency spectrograms, the method utilizes scalograms, which are obtained by continuous wavelet transform (CWT). Experimental results showed the proposed method achieved spectrogram-to-spectrogram speaker conversion.
THE PHONOLOGICAL SYSTEM OF BALINESE LANGUAGE ON TEGALLINGGAH SPOKEN BY MOSLEM PEOPLE: A DESCRIPTIVE QUALITATIVE STUDY

This synchronous study was designed in a descriptive qualitative form. This study was designed to describe the number of phonemes needed in the Tegallinggah dialect and its distribution. This study only supports segmental phonemes. Three informants from Tegallinggah Dialek were selected based on a set of predetermined standard requirements and criteria. Data was collected using two word lists namely: Swadesh and Nothofer. The data obtained were analyzed and collected descriptively. Tegallinggah Dialect has 44 phonemes and not all phonemes have a complete distribution (initial, middle and end positions). Phonemes can be played into: six vowels, nineteen consonants, five cluster consonants and 4 geminate, eight diphthongs.
Comparison and research of group refractivity models and atmospheric delay to LiDAR

Satellite laser range system measures the distance between the satellite and the surface of the earth by figuring out the transit time of laser pulse. The beam is refracted when it goes through the atmosphere. The atmosphere refraction effect causes laser propagation delay and path bending, which is one of the key factors to restrict the accuracy of laser ranging. In order to improve the accuracy of atmospheric refraction delay correction, it is necessary to strengthen the study of atmospheric group refractivity models and atmospheric refraction delay correction method. According to the datum of Xuzhou upper air meteorological station, which are the monthly values of upper limit layers for 30 years (1981-2010) in China, three atmospheric group refractivity models were analyzed and compared. The atmospheric refraction delays to LiDAR were calculated by ray tracing method. The differences among the group refractivity models as a function of month and angle of direction were given, which lay the foundation for the practical application and precision evaluation of LiDAR.
ANGER IN PROTEST NETWORKS ON TWITTER

We examine the influence relationships in online social networks and the distribution of anger during protests in Charlotte, North Carolina (2016) and Charlottesville, Virginia (2017). We extracted mention and retweet networks of users tweeting during these protests, and conducted emotion analysis on tweets to determine anger level of the users. We found that users with most followers receive most mentions and retweets. Anger levels peaked early on and then tapered off during both protests. The angriest users received few mentions and retweets. Our research has a potential to help understand influence dynamics in protest communication networks and provides insights for public policy implications.
Structural damage detection using Bayesian inference and seismic interferometry

We present a computational methodology for structural identification and damage detection via linking the concepts of seismic interferometry and Bayesian inference. A deconvolution‐based seismic interferometry approach is employed to obtain the waveforms that represent the impulse response functions with respect to a reference excitation source. Using the deconvolved waveforms, we study the following two different damage detection methods that utilize shear wave velocity variations: the arrival picking method and the stretching method. We show that variations in the shear wave velocities can be used for qualitative damage detection and that velocity reduction is more evident for more severely damaged states. Second, a hierarchical Bayesian inference framework is used to update a finite element model by minimizing the gap between the predicted and the extracted time histories of the impulse response functions. Through comparison of the model parameter distributions of the damaged structure with the updated baseline model, we demonstrate that damage localization and quantification are possible. The performance of the proposed approach is verified through two shake table test structures. Results indicate that the proposed framework is promising for monitoring structural systems, which allows for noninvasive determination of structural parameters.
The Uniform Validity of Impulse Response Inference in Autoregressions

Existing proofs of the asymptotic validity of conventional methods of impulse response inference based on higher-order autoregressions are pointwise only. In this paper, we establish the uniform asymptotic validity of conventional asymptotic and bootstrap inference about individual impulse responses and vectors of impulse responses when the horizon is fixed with respect to the sample size. For inference about vectors of impulse responses based on Wald test statistics to be uniformly valid, lag-augmented autoregressions are required, whereas inference about individual impulse responses is uniformly valid under weak conditions even without lag augmentation. We introduce a new rank condition that ensures the uniform validity of inference on impulse responses and show that this condition holds under weak conditions. Simulations show that the highest finite-sample accuracy is achieved when bootstrapping the lag-augmented autoregression using the bias adjustments of Kilian (1999). The conventional bootstrap percentile interval for impulse responses based on this approach remains accurate even at long horizons. We provide a formal asymptotic justification for this result.
The Effect of Core Offset on the Mode Converting Characteristics in Twisted Single Mode Fibers

The effect of core offset on the mode converting characteristics in twisted single mode fiber (SMF) is investigated. If the core position of SMF is slightly shifted from its rotation center, multiple spectral dips appear in the transmission spectra due to the coupling between core and cladding modes. Guided mode solver and beam propagation method (BPM) based on finite-element method (FEM) specially formulated for helicoidal waveguides are used for the analysis. It is shown that a submicron offset of the core, which may not be seen in the microscope with 100-μm scale, causes strong modal coupling. Calculated positions of the dips for the submicron offset are in good agreement with the recently reported measured results, showing the slight core displacement may be one of the dominant mechanisms of the mode coupling in twisted SMF. Also, it is confirmed in the BPM analysis that the field in the twisted SMF carry an orbital angular momentum (OAM) at the spectral dip wavelength.
Recommendations for quality maintenance in echocardiography

Echocardiography is one of the most frequently performed examinations in cardiology, both in ambulatory care and in hospitals. The present recommendations are an update of the 1999 Guidelines for quality maintenance in echocardiography published by the Working Group of Echocardiography of the Swiss Society of Cardiology [1]. The following recommendations focus on transthoracic echocardiography in adults (table 1). Transoesophageal echocardiography and stress echocardiography require additional training and proof of competence which is summarised in the last paragraph. Echocardiography in paediatric cardiology and perioperative transoesophageal echocardiography require special training which are not detailed in this document.
Simulated Evolution and Severe Wind Production by the 25–26 June 2015 Nocturnal MCS from PECAN

The 25–26 June 2015 nocturnal mesoscale convective system (MCS) from the Plains Elevated Convection at Night (PECAN) field project produced severe winds within an environment that might customarily be associated with elevated convection. This work incorporates both a full-physics real-world simulation and an idealized single-sounding simulation to explore the MCS’s evolution. Initially, the simulated convective systems were elevated, being maintained by wavelike disturbances and lacking surface cold pools. As the systems matured, surface outflows began to appear, particularly where heavy precipitation was occurring, with air in the surface cold pools originating from up to 4–5 km AGL. Via this progression, the MCSs exhibited a degree of self-organization (i.e., structures that are dependent upon an MCS’s particular history). The cold pools eventually became 1.5–3.5 km deep, by which point passive tracers revealed that the convection was at least partly surface based. Soon after becoming surface based, both simulations produced severe surface winds, the strongest of which were associated with embedded low-level mesovortices and their attendant outflow surges and bowing segments. The origin of the simulated mesovortices was likely the downward tilting of system-generated horizontal vorticity (from baroclinity, but also possibly friction) within the simulated MCSs’ outflow, as has been argued in a number of previous studies. Taken altogether, it appears that severe nocturnal MCSs may often resemble their cold pool-driven, surface-based afternoon counterparts.
Lessons from Feminist Foremothers: The Imagining of the Post-Patriarch

This article explores the imaginings of the post-patriarch through the lens of both liberal and radical feminism and the extent to which these differing strands of feminism can challenge the ontological masculine standard of the liberal citizen. From this discussion, central ideas from feminist theorists, including Germaine Greer and Catharine MacKinnon, conceptualise the patriarchal state, how oppression is embedded within the structure and the extent to which contemporary forms of resistance, such as the #MeToo movement, can challenge this understanding. This article ultimately concludes that the state as an apparatus of inequality is redeemably masculinist in the sense that when the root cause of inequality is addressed and overturned only then will women and men engage in reciprocal relationships. This indeed is the imagining of the post-patriarch.
Motivation and experience in symbiotic events: an illustrative example grounded in culture and business events

ABSTRACT This article explores the relation between motivation and experience in attendees at different types of events. There has been relatively little research into the experience dimensions of event attendees, or to what extent different motivations affect the experience, even in the events literature, motivation has been a central topic. Both academia and industry recognise event attendees’ motivations as an important factor that helps us to understand developments in a broader framework. However, further research in this area is needed to understand how motivations and experience are related and how this relationship develops in different types of events. We used the Event Experience Scale in a survey conducted at two different events. This paper concludes with some critical observations identifying similarities and differences in motivations and experience at two different types of events, suggesting new pathways for further research.
Conceptualizing the world as ‘female’ or ‘male’: Further remarks on grammatical gender and speakers’ cognition

Experimental research on grammatical gender and cognition provides evidence for grammatical gender effects on various aspects of speakers’ cognition. Some researchers argue that such effects are limited to languages with a two-gender system. Other studies, however, find that the grammatical category of gender impacts on cognition also in languages with a three-gender system. Based on a sex attribution task, the present paper examines the relationship between grammatical gender and cognition in two languages with a three-gender system, Greek and German, and aligns with the second group of studies. The overall results are discussed in the light of previous research from a critical perspective.