Miracle-dz/UniFAR-FTUs huggingface dataset:
Quasi-Operational Testing of Real-Time Storm-Longevity Prediction via Machine Learning

Real-time prediction of storm longevity is a critical challenge for National Weather Service (NWS) forecasters. These predictions can guide forecasters when they issue warnings and implicitly inform them about the potential severity of a storm. This paper presents a machine-learning (ML) system that was used for real-time prediction of storm longevity in the Probabilistic Hazard Information (PHI) tool, making it a Research-to-Operations (R2O) project. Currently, PHI provides forecasters with real-time storm variables and severity predictions from the ProbSevere system, but these predictions do not include storm longevity. We specifically designed our system to be tested in PHI during the 2016 and 2017 Hazardous Weather Testbed (HWT) experiments, which are a quasi-operational naturalistic environment. We considered three ML methods that have proven in prior work to be strong predictors for many weather prediction tasks: elastic nets, random forests, and gradient-boosted regression trees. We present experiments comparing the three ML methods with different types of input data, discuss trade-offs between forecast quality and requirements for real-time deployment, and present both subjective (human-based) and objective evaluation of real-time deployment in the HWT. Results demonstrate that the ML system has lower error than human forecasters, which suggests that it could be used to guide future storm-based warnings, enabling forecasters to focus on other aspects of the warning system.
Non-stationary Sparse System Identification over Adaptive Sensor Networks with Diffusion and Incremental Strategies

In this paper we studied the performance of several distributed adaptive algorithms for non-stationary sparse system identification. Non-stationarity is a feature that is introduced to adaptive networks recently and makes the performance of them degraded. We analyzed the performance of both incremental and diffusion cooperation strategies in this newly presented case. The performance analyses are carried out with the steady-state mean square deviation (MSD) criterion of adaptive algorithms. Some sparsity aware algorithms are considered in this paper which tested in non-stationary systems for the first time. It is presented that for incremental cooperation, the performance of incremental least means square/forth (ILMS/F) algorithm surpasses all other algorithms as non-stationarity grows and for diffusion cooperation, the performance of adapt-then-combine (ATC) diffusion prevails reweighted zero attracting (RZA) ATC diffusion algorithm in non-stationary system identification. We hope that this work will inspire researchers to look for other advanced algorithms against systems that are both non-stationary and sparse.
Detailed photometric analysis of young star groups in the galaxy NGC 300

Aims. The purpose of this work is to understand the global characteristics of the stellar populations in NGC 300. In particular, we focused our attention on searching young star groups and study their hierarchical organization. The proximity and orientation of this Sculptor Group galaxy make it an ideal candidate for this study. Methods. The research was conducted using archival point spread function (PSF) fitting photometry measured from images in multiple bands obtained with the Advanced Camera for Surveys of the Hubble Space Telescope (ACS/HST). Using the path linkage criterion (PLC), we cataloged young star groups and analyzed them from the observation of individual stars in the galaxy NGC 300. We also built stellar density maps from the bluest stars and applied the SExtractor code to identify overdensities. This method provided an additional tool for the detection of young stellar structures. By plotting isocontours over the density maps and comparing the two methods, we could infer and delineate the hierarchical structure of the blue population in the galaxy. For each region of a detected young star group, we estimated the size and derived the radial surface density profiles for stellar populations of different color (blue and red). A statistical decontamination of field stars was performed for each region. In this way it was possible to build the color–magnitude diagrams (CMD) and compare them with theoretical evolutionary models. We also constrained the present-day mass function (PDMF) per group by estimating a value for its slope. Results. The blue population distribution in NGC 300 clearly follows the spiral arms of the galaxy, showing a hierarchical behavior in which the larger and loosely distributed structures split into more compact and denser ones over several density levels. We created a catalog of 1147 young star groups in six fields of the galaxy NGC 300, in which we present their fundamental characteristics. The mean and the mode radius values obtained from the size distribution are both 25 pc, in agreement with the value for the Local Group and nearby galaxies. Additionally, we found an average PDMF slope that is compatible with the Salpeter value.
I-invertebrata as an android-based learning media for molluscs, arthropods, and echinoderms identification and its influence on students' motivation

In Zoology course, students often have difficulty to identify several invertebrates. Android-based learning media is currently an alternative way of solving some problems during the learning process. Therefore, android-based learning media that assist students to identify invertebrates was developed in this study. This research method used to research and development model (RD planning the educational product; developing the product's preliminary form; initial field testing; the first revision of main product; main field testing; operational product revision; operational field testing; final product revision; and dissemination. The validation results from the material expert I, material expert II, and media experts were 96.6%; 94.3%; and 94.7%, respectively. That results concluded I-Invertebrata was feasible for use in learning but requires minor revision. Furthermore, the results of quasi-experimental research that was analyzed by using analysis of covariance test showed the learning motivation of students who use I-Invertebrata is significantly higher than students who do not use I-Invertebrata.
Equilibrium states for partially hyperbolic horseshoes

Abstract We study ergodic properties of invariant measures for the partially hyperbolic horseshoes, introduced in Díaz et al [Destroying horseshoes via heterodimensional cycles: generating bifurcations inside homoclinic classes. Ergod. Th. & Dynam. Sys. 29 (2009), 433–474]. These maps have a one-dimensional center direction Ec, and are at the boundary of the (uniformly) hyperbolic diffeomorphisms (they are constructed bifurcating hyperbolic horseshoes via heterodimensional cycles). We prove that every ergodic measure is hyperbolic, but the set of Lyapunov exponents in the central direction has gap: all ergodic invariant measures have negative exponent, with the exception of one ergodic measure with positive exponent. As a consequence, we obtain the existence of equilibrium states for any continuous potential. We also prove that there exists a phase transition for the smooth family of potentials given by ϕt=t log ∣DF∣Ec∣.
Stueckelberg-Horwitz-Piron Canonical Quantum Theory in General Relativity and Bekenstein-Sanders Gauge Fields for TeVeS

A consistent (off-shell) canonical classical and quantum dynamics in the framework of special relativity was formulated by Stueckelberg in 1941 and generalized to many-body theory by Horwitz and Piron in 1973 (SHP). This theory has been embedded into the framework of general relativity (GR), here denoted by SHPGR. The canonical Poisson brackets of the SHP theory remain valid (invariant under local coordinate transformations) on the manifold of GR and provide the basis for formulating a canonical quantum theory. The relation between representations based on coordinates and momenta is given by Fourier transform; a proof is given here for this functional relation on a manifold. The potential which may occur in the SHP theory emerges as a spacetime scalar mass distribution in GR. Gauge fields, both Abelian and non-Abelian on the quantum mechanical SHPGR Hilbert space in both the single particle and many-body theory, may be generated by phase transformations. Application to the construction of Bekenstein and Sanders in their solution to the lensing problem in TeVeS is discussed.
The Interacting Head Motif Structure does not Explain the X-Ray Diffraction Patterns from Relaxed Vertebrate Skeletal and Insect Flight Muscles

Unlike electron microscopy, which can achieve very high resolutions, but to date can only be used to study static structures, time-resolved X-ray diffraction from contracting muscles can, in principle, be used to follow the molecular movements involved in force generation on a millisecond timescale albeit at moderate resolution. However, previous X-ray diffraction studies of resting muscles have come up with structures for the head arrangements in resting myosin filaments that are different from the apparently ubiquitous interacting heads motif (IHM) found by single particle analysis of electron micrographs of isolated myosin filaments from a variety of muscle types. This head organization is supposed to represent the super-relaxed state of the myosin filaments where ATP usage is minimized. Here we have tested whether the interacting heads motif structures will satisfactorily explain the observed low-angle X-ray diffraction patterns from resting vertebrate (bony fish) and invertebrate (insect flight) muscles. We find that the interacting heads motif does not, in fact, explain what is observed. Previous X-ray models fit the observations much better. We conclude that the X-ray diffraction evidence has been well interpreted in the past and that there is more than one ordered myosin head state in resting muscle. There is, therefore, no reason to question some of the previous X-ray diffraction results on myosin filaments; time-resolved X-ray diffraction should be a reliable way to follow crossbridge action in active muscle and may be one of the few ways to follow molecular changes in myosin heads on a millisecond timescale as force is actually produced.
Distributed fault detection for non‐linear multi‐agent systems: an adjustable dimension observer design method

This study is devoted to observer-based fault detection for non-linear multi-agent systems. Utilising the output information of the neighbour nodes, an adjustable dimension observer is designed, in which the dimension of the observer can be adjusted within a certain range. Thus, the trade-off between the detection performance and the detection cost can be obtained. Based on the observers constructed on one node, the fault in its neighbouring nodes can be detected. The disturbance is removed from the residual, which implies that the fault detection result is robust to the disturbance. The region pole constraints are introduced to improve the transient performance of the residual dynamic. Finally, simulation results are provided to indicate the effectiveness of the proposed technique.
A PORTMANTEAU TEST FOR CORRELATION IN SHORT PANELS

Inoue and Solon (2006, Econometric Theory 22, 835–851) presented a test against serial correlation of arbitrary form in fixed-effect models for short panel data. Implementing the test requires choosing a regularization parameter that may severely affect power and for which no optimal selection rule is available. We present a modified version of their test that does not require any regularization parameter. Asymptotic power calculations illustrate the improvement of our procedure. An extension of the approach that accommodates dynamic models is also provided.
Additive Manufacturing of a High-Performance $Q$ -Band Circular TE01 Mode Flared-Type Transducer

This letter presents a <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-band mode transducer based on a slowly flared structure to convert the rectangular TE<sub>10</sub> mode into the circular TE<sub>01</sub> mode, with an excellent performance in return loss level and conversion purity, overcoming the main issues of this kind of structures: its manufacturing complexity and high cost. They have been tackled by means of the additive manufacturing technology using selective laser sintering, especially well-suited for this problem allowing a single part suitable for high-power applications. The prototype shows a minimum return loss level of 20 dB in the whole <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-band. Measurements have been carried out using four different angles to connect two equal transducers in a back-to-back configuration (0°, 45°, 90°, and 180°). Furthermore, in spite of the expected roughness of the laser sintering, a measured converting efficiency higher than 82% in a 41% relative frequency bandwidth has been achieved. Therefore, the experimental results validate both the proposed geometry and the technology used for its implementation.
DATA-DRIVEN STUDIES OF TRANSIENT EVENTS AND APERIODIC MOTIONS

Title of dissertation: DATA-DRIVEN STUDIES OF TRANSIENT EVENTS AND APERIODIC MOTIONS Rui Wang Doctor of Philosophy, 2019 Dissertation directed by: Professor Balakumar Balachandran Department of Mechanical Engineering The era of big data, high-performance computing, and machine learning has witnessed a paradigm shift from physics-based modeling to data-driven modeling across many scientific fields. In this dissertation work, transient events and aperiodic motions of complex nonlinear dynamical system are studied with the aid of a datadriven modeling approach. The goal of the work has been to further the ability for future behavior prediction, state estimation, and control of related behaviors. It is shown that data on extreme waves can be used to carry out stability analysis and ascertain the nature of the transient phenomenon. In addition, it is demonstrated that a low number of soliton elements can be used to realize a rogue wave on the basis of nonlinear interactions amongst the basic elements. The proposed nonlinear phase interference model provides an appealing explanation for the formation of ocean extreme wave and related statistics, and a superior reconstruction of the Draupner wave event than that obtained on the basis of linear superposition. Chaotic data, another manifestation of aperiodic motions, which are obtained from prototypical ordinary differential and partial differential systems are considered and a neural machine is realized to predict the corresponding responses based on a limited training set as well to forecast the system behavior. A specific neural architecture, called the inhibitor mechanism, has been designed to enable chaotic time series forecasting. Without this mechanism, even the short-term predictions would be intractable. Both autonomous and non-autonomous dynamical systems have been studied to demonstrate the long-term forecasting possibilities with the developed neural machine. For each dynamical system considered in this dissertation, a long forecasting horizon is achieved with a short historical data set. Furthermore, with the developed neural machine, one can relax the requirement of continuous historical data measurements, thus, providing for a more pragmatic approach than the previous approaches available in the literature. It is expected that the efforts of this dissertation work will lead to a better understanding of the underlying mechanism of transient and aperiodic events in complex systems and useful techniques for forecasting their future occurrences. DATA-DRIVEN STUDIES OF TRANSIENT EVENTS AND APERIODIC MOTIONS
Ratios of SEP/Suprathermal Intensities and Associated CME Speeds

Recently [1] have found correlations between peak intensities Ip of E > 10 MeV SEP events and suprathermal H and He ion intensities observed in situ at 1 AU around the onsets of SEP events. The correlations depend on the solar source longitudes of the driver CMEs and the kind of solar wind (SW) (transient or normal) at the SEP event onset. How the 1 AU suprathermals are related to the solar coronal seed population of SEPs is not known. In a previous study [2] with a similar result, the ratio R of 20-MeV Ip to the 2-MeV H suprathermal backgrounds were plotted against CME speeds Vcme. In contrast to the usual strong correlations between Ip and Vcme, [2] found the dependence of R on Vcme to be very weak, suggesting that the primary factor determining Ip of SEP events may be the source seed population, rather than Vcme. We extend that work [1,2] by plotting both R and log Ip against log Vcme for various types of SW and different source longitudes to look for the dependences of R on Vcme. We confirm the lower correlations found for R and Vcme, but Vcme retains its role as an independent factor in SEP production. The better R correlation using 1.28-2.56 MeV H suggests a more significant role for lower energy 0.16-0.32 MeV H as shock seed particles. Conclusions of variations of R correlations among different SW types and solar longitudes are limited by the statistics of the SEP events.
PENGARUH STRUKTUR MODAL DAN LIKUIDITAS TERHADAP PROFITABILITAS

This object of this study is analyze the impact of capital structure and liquidity on profitability. The sample used in this study is the beverages, food, and tobacco sector companies listed in Indonesia Stock Exchange between 2009 and 2013. The independent variables are the capital structure and liquidity, while the dependent variable is profitability. Total sample is 19 companies. The results of this study indicate that the capital structure and liquidity together have significant effect on profitability. Based on these results, the expected managerial pay more attention to the structure of capital and liquidity in order to increase the profitability of the companies.
Real-time monitoring system for elderly people in detecting falling movement using accelerometer and gyroscope

Most of the elderly people is experiencing a decrease in physical quality, especially the weakness in the legs. This will cause elderly easy to fall and can have a serious impact on their health if not getting help very quickly. It is, therefore, necessary to take immediate action against the falling cases experienced by the elderly. One such action is by developing supervision and detecting of falling movements in real-time, which is then the connection to a member of the family. In this research, we used Arduino Uno as a microcontroller, sensor accelerometer, and gyroscope that serves to measure falling movement of the elderly person and supported by GPS technology Ublox Neo 6M to provide information about coordinates. The result was the high accuracy of delivering notification data to server and accuracy of data delivery to family notification equal to 93,75%. The system successfully detects the direction of falling: forward, backward, left or right and able to distinguish between unintentional falling and conscious falling like a bow or prostrate position.
PENGARUH CITRA MEREK DAN HARGA TERHADAP KEPUTUSAN PEMBELIAN PADA E-COMMERCE SHOPEE INDONESIA (Survei pada Mahasiswa S1 Fakultas Ilmu Administrasi Universitas Brawijaya Angkatan 2015/2016 dan 2016/2017 yang Membeli Barang Secara Online di E-commerce)

Th e purpose of this study was to ( 1 ) partially explain the influence of Brand Image and Price partially on Purchase Decision. ( 2 ) explain the effect of simultaneous Brand Image and Price on Purchasing Decision . The type of research was used in this research is explanatory with a quantitative approach. The research variable s of this study were Brand Image , Price and Purchasing Decision. The population in this research were S1 Students of the Faculty Administration Sciences of Brawijaya University 2015/2016 and 2016/2017 who Buy Goods Online on E-commerce and have used Shopee Indonesia . The sample used in this study was 11 6 respondents taken using purposive sampling and the method of data collection using a questionnaire. The data analysis used was descriptive statistical analysis and multiple linear regression analysis. The data in this study were processed using SPSS 25 for Windows. The results of multiple linear regression analysis show that (1) Brand Image (X 1 ) and Price (X 2 ) variables each have a partially significant effect on Structure Purchase Decision (Y) , (2) Brand Image (X 1 ) and Price (X 2 ) have a simultaneous significant effect on Structure Purchasing Decision (Y) . Keywords: Brand Image , Price , Purchasing Decision АBSTRАK Penelitian ini bertujuan untuk (1) menjelaskan pengaruh Citra Merek secara parsial terhadap Keputusan Pembelian (2) menjelaskan pengaruh Harga secara parsial terhadap Keputusan Pembelian. (3) menjelaskan pengaruh Citra Merek dan Harga secara bersama-sama terhadap Keputusan Pembelian. Jenis penelitian yang digunakan adalah explanatory dengan pendekatan kuantitatif. Variabel penelitian ini meliputi Citra Merek, Harga dan Struktur Keputusan Pembelian. Populasi dalam penelitian ini adalah Mahasiswa S1 Fakultas Ilmu Administrasi Universitas Brawijaya Angkatan 2015/2016 dan 2016/2017 yang Membeli Barang Secara Online di E-Commerce . Sampel yang digunakan dalam penelitian ini sebanyak 116 responden yang diambil dengan menggunakan purposive sampling dan metode pengumpulan data menggunakan angket atau kuesioner. Analisis data yang digunakan adalah analisis statistik deskriptif dan analisis Regresi Linear Berganda. Data pada penelitian ini diolah menggunakan SPSS 25 for Windows. Hasil analisis regresi linear berganda menunjukkan bahwa variabel Citra Merek (X 1 ) dan Harga (X 2 ) masing-masing berpengaruh signifikan secara parsial terhadap Struktur Keputusan Pembelian (Y), variabel Citra Merek (X 1 ) dan Harga (X 2 ) berpengaruh signifikan secara bersama-sama terhadap Struktur Keputusan Pembelian (Y). Kata Kunci: Citra Merek , Harga , Keputusan Pembelian
Structure and Kinematics of the Stellar Halos and Thick Disks of the Milky Way Based on Calibration Stars from SDSS DR7

Abstract The structure and kinematics of the recognized stellar components of the Milky Way are explored, based on well-determined atmospheric parameters and kinematic quantities for 32360 “calibration stars” from the Sloan Digital Sky Survey (SDSS) and its first extension, (SDSS-II), which included the sub-survey SEGUE: Sloan Extension for Galactic Understanding and Exploration. Full space motions for a sub-sample of 16920 stars, exploring a local volume within 4 kpc of the Sun, are used to derive velocity ellipsoids for the inner- and outer-halo components of the Galaxy, as well as for the canonical thick-disk and proposed metal-weak thick-disk populations. This new sample of calibration stars represents an increase of 60% relative to the numbers used in a previous analysis. A Maximum Likelihood analysis of a local sub-sample of 16920 calibration stars has been developed in order to extract kinematic information for the major Galactic components (thick disk, inner halo, and outer halo), as well as for the elusive metal-weak thick disk (MWTD). We measure velocity ellipsoids for the thick disk, the MWTD, the inner halo, and the outer halo, demonstrate that the MWTD may be a component that is kinematically and chemically independent of the canonical thick disk (and put limits on the metallicity range of the MWTD), and derive the inferred spatial density profiles of the inner/outer halo components. We also present evidence for tilts in the velocity ellipsoids for stars in our sample as a function of height above the plane, for several ranges in metallicity, and confirm the shift of the observed metallicity distribution function (MDF) from the inner-halo to the outer-halo dominated sample.