Miracle-dz/UniFAR-FTUs huggingface dataset:
Event-triggered based distributed H∞ consensus filtering for discrete-time delayed systems over lossy sensor network

This paper investigates the issue of event-triggered distributed H∞ consensus filtering for discrete time-varying delay systems over lossy sensor networks with stochastic switching topologies. For each sensor node, the event-triggering mechanism is given by an event detector, which determines whether to transmit the output measurement or not. The communication links between the event detector and the distributed filter are assumed to be over a lossy network, and the missing probability is governed by a set of random variables. Through available output measurements from not only the individual sensor but also its neighbouring sensors, according to the interconnection topology to estimate the system states, a sufficient condition is established for the desired distributed filter to ensure that the overall filtering dynamics are stochastically stable and achieve a prescribed distributed H∞ average performance. Meanwhile, the corresponding solvability conditions for the desired distributed filter gains are characterized in terms of feasibility linear matrix inequalities. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed approaches.
Translation of Cultural Words in Folk Tale “The Origin of the Word Babah” on the Google Translate Service

Background: Folk tale contains words that are bound to a certain cultural context. Globalization and technological developments have made wider access to the folk tales. Google Translate is a translation service that can help translate folk tales with a wide range of users. Purpose: The focus of this research is limited to how the Google Translate service translates the cultural words in the folk tale of The Origin of the Word Babah. Design and methods: This research method is descriptive qualitative with research data on the cultural words in the folk tale The Origins of the word Babah which is published by the Ministry of Education and Culture in 1978. This study used analysis of translation strategies and Newmark’s Cultural Words categories as referred classification. Results: The result of the study shows that the 10 (ten) research data are all in the category of social customs. The translation strategies used are Loan with 5 (five) data and Literal Translation with 5 (five) data. This research shows that Google Translate has not been able to detect cultural contexts, hence it is not accurate in translating cultural addresses and special terms.
Switching controller design for linear time-invariant plant with H2 performance criterion

This paper deals with the problem of designing a switching controller, which includes several linear time-invariant (LTI) controllers designed beforehand and independently for a specific LTI plant with corresponding H2 control performance criteria. It is possible to find suitable state space realizations for any given family of controller transfer matrices, which guarantee not only certain H2 performance of the overall closed-loop system under arbitrary switching but also the corresponding H2 performance of local subsystems at each switching point. The effectiveness of the proposed method is demonstrated with a numerical example.
Laplace-domain waveform inversion using the l-BFGS method

ABSTRACT We examine the performance of the limited-memory Broyden–Fletcher–Goldfarb–Shanno (l-BFGS) optimization method for full waveform inversions in the Laplace domain. Full waveform inversion methods generally adopt gradient-based optimization schemes for efficiency. Most Laplace-domain full waveform inversion methods published to date use the preconditioned steepest descent (PSD) method with the diagonal elements of the pseudo-Hessian as the preconditioner. These methods use a small fixed step length for stable convergence. The l-BFGS method is a quasi-Newton optimization method that efficiently approximates the inverse of the Hessian. We compare Laplace-domain inversion results from the PSD method with those from the l-BFGS method. Numerical examples using the SEG/EAGE salt model and the Pluto model demonstrate that the l-BFGS method with the Wolfe line search yields smaller cost function values than the PSD method.
Quantitative flow visualization of a turboprop aircraft by robotic volumetric velocimetry

The flow field around a turboprop aircraft scaled model is investigated with attention to the propeller slipstream and the wing near wake. The experiments are conducted in the Low-Speed Tunnel (LST) of the German-Dutch Wind Tunnels (DNW) as part of a collaboration among DNW, Delft University of Technology and Airbus. Quantitative flow visualization in a three-dimensional measurement domain of 150 liters is made possible by the use of the recently developed Robotic Volumetric Velocimetry technique. Time averaged velocity and vorticity fields are obtained for experiments carried out at 8 m/s and 50 m/s, respectively. The measurements are conducted with high-speed acquisition in multi-frame mode at 8 m/s, and require double-frame mode at 50 m/s. The presence of three coherent streamwise vortices is revealed, emanating from the wing tip, the flap side edge and the engine nacelle, respectively. A comparison between the two measurement conditions shows limited Reynolds number effects on the wing tip vortex, and that the multi-frame measurements are superior in terms of spatial resolution and measurement accuracy.
Application of Circulating Tumor Cells and Interleukin-6 in Preoperative Prediction of Peritoneal Metastasis of Advanced Gastric Cancer

Background The purpose of this study was to explore the clinical significance of circulating tumor cells (CTCs) and cytokines in peripheral blood in preoperative prediction of peritoneal metastasis (PM) in advanced gastric cancer (AGC). Methods The clinicopathological characteristics of 282 patients with AGC were retrospectively analyzed. The patients were divided into training and validation groups according to the time of receiving treatment. We used univariate analysis and multivariate logistic regression analysis to screen out the independent risk factors of PM in AGC. Then, we incorporated independent risk factors into the nomogram, and evaluated the discriminative ability. Results The levels of CTCs and interleukin-6 (IL-6) of AGC patients with PM were higher than those without PM (P<0.05). Moreover, the levels of CTCs and IL-6 in the occult peritoneal metastasis (OPM) group and the CT-positive PM group were higher than those in the negative PM (P<0.05). Multivariate logistic regression analysis showed that IL-6 > 12.22 pg/mL, CTCs > 4/5mL, CA724 > 6 IU/mL, CA125 > 35 U/mL and tumor size > 5 cm were independent risk factors for PM of AGC. The area under the ROC curve of the nomogram were 0.898 and 0.926 in the training and validation sets, respectively. The clinical decision curve showed that the nomogram had good clinical utility. Conclusion CTCs and IL-6 in peripheral blood are promising biomarkers for predicting the risk of PM in AGC. The nomogram constructed from five risk factors can effectively assess the risk of PM in AGC patients individually.
The Simons Observatory: Constraining inﬂationary gravitational waves with multi-tracer B -mode delensing

We introduce and validate a delensing framework for the Simons Observatory (SO), which will be used to improve constraints on inﬂationary gravitational waves (IGWs) by reducing the lensing noise in measurements of the B -modes in CMB polarization. SO will initially observe CMB by using three small aperture telescopes and one large-aperture telescope. While polarization maps from small-aperture telescopes will be used to constrain IGWs, the internal CMB lensing maps used to delens will be reconstructed from data from the large-aperture telescope. Since lensing maps
HAWC+, the Far-Infrared Camera and Polarimeter for SOFIA

High-resolution Airborne Wide-band Camera (HAWC[Formula: see text]) is the facility far-infrared imager and polarimeter for SOFIA, NASA’s Stratospheric Observatory for Infrared Astronomy. It is designed to cover the portion of the infrared spectrum that is completely inaccessible to ground-based observatories and which is essential for studies of astronomical sources with temperatures between tens and hundreds of degrees Kelvin. Its ability to make polarimetric measurements of aligned dust grains provides a unique new capability for studying interstellar magnetic fields. HAWC[Formula: see text] began commissioning flights in April 2016 and was accepted as a facility instrument in early 2018. In this paper, we describe the instrument, its operational procedures, and its performance on the observatory.
ANALYSIS OF FINANCIAL RATIOS TO ASSESS LOCAL GOVERNMENT FINANCIAL PERFORMANCE IN LABUHAN BATU DISTRICT, NORTH SUMATRA, INDONESIA

This study is to determine the performance of regional financial ratios in the Labuhan Batu District and whether there is transparency in financial statements managed by the local government. According to financial accounting standards, financial statements are part of financial reporting. Complete financial statements usually include balance sheets, income statements, and statements of changes in financial position, as well as explanatory materials that are an integral part of financial statements; the purpose of this study is to measure and analyze the degree of fiscal Decentralization in Labuhan Batu District during 2015 to 2020 as well as analyze the relationship of Gross Domestic Product (GDP) with the level of fiscal Decentralization during the same period. GDP is one of the methods for calculating national income. Documentation techniques carry out data collection. The data analysis technique used is a financial statement analysis technique based on the budget realization report from 2015 to 2020. The results of the study show that the level of regional authority and responsibility in implementing decentralization, which is related to regional development is at a moderate level, this is because the amount of original local government revenue is still relatively small compared to the total regional income, still very dependent on financial assistance from the central government/ external parties.
Identification of hidden Markov chains governing dependent credit-rating migrations

ABSTRACT Three models of dependent credit-rating migrations are considered. Each of them entails a coupling scheme and a discrete-time Markovian macroeconomic dynamics. Every credit-rating migration is modeled as a mixture of an idiosyncratic and a common component. The larger is the pool of debtors affected by the same common component, the stronger is the dependence among migrations. The distribution of the common component depends on macroeconomic conditions. At every time instant, the resulting allocation of debtors to credit classes and industries follows a mixture of multinomial distributions. Dealing with M non default credit classes, there are 2M theoretically possible macroeconomic outcomes. Only few of them occur with a positive probability. Restricting the macroeconomic dynamics to such outcomes simplifies estimation. A heuristics for identifying them is suggested. Using the maximum likelihood method, it was tested on a Standard and Poor's (S&P's) data set.
Mycobacterium tuberculosis Inhibitors Based on Arylated Quinoline Carboxylic Acid Backbones with Anti-Mtb Gyrase Activity

New antitubercular agents with either a novel mode of action or novel mode of inhibition are urgently needed to overcome the threat of drug-resistant tuberculosis (TB). The present study profiles new arylated quinoline carboxylic acids (QCAs) having activity against replicating and non-replicating Mycobacterium tuberculosis (Mtb), the causative agent of TB. Thus, the synthesis, characterization, and in vitro screening (MABA and LORA) of 48 QCAs modified with alkyl, aryl, alkoxy, halogens, and nitro groups in the quinoline ring led to the discovery of two QCA derivatives, 7i and 7m, adorned with C-2 2-(naphthalen-2-yl)/C-6 1-butyl and C-2 22-(phenanthren-3-yl)/C-6 isopropyl, respectively, as the best Mtb inhibitors. DNA gyrase inhibition was shown to be exhibited by both, with QCA 7m illustrating better activity up to a 1 μM test concentration. Finally, a docking model for both compounds with Mtb DNA gyrase was developed, and it showed a good correlation with in vitro results.
Interaction of Iron Homeostasis and Fatty Acid Metabolism in the Development of Glucose Intolerance in Women with Previous Gestational Diabetes Mellitus

A gestational diabetes mellitus (GDM) diagnosis during pregnancy means an increased risk of developing type 2 diabetes later in life. By following up with women after GDM we aimed to examine the relationship between iron parameters, individual fatty acids (FAs) and desaturases in the development of impaired glucose metabolism (IGM). Based on an oral glucose tolerance test (OGTT), six years after GDM, 157 women were grouped as having normal glucose tolerance (NGT) or IGM. Fasting serum FAs, activity of desaturases and iron parameters (ferritin, transferrin, iron, soluble transferrin receptor, total iron binding capacity, hepcidin) were measured, and clinical and anthropometric measurements taken. Soluble transferrin receptor was higher in the IGM group compared to the NGT group (3.87 vs. 3.29 mg/L, p-value = 0.023) and associated positively with saturated FAs and negatively with monounsaturated FAs in the IGM group (adjusted for BMI, age and high sensitivity C-reactive protein; p-value < 0.05). Iron, as well as transferrin saturation, showed a positive association with MUFAs and desaturase activity. These associations were not seen in the NGT group. These results suggest that iron homeostasis and FA metabolism interact in the development of glucose intolerance in women with previous GDM.
Numerical simulation study of fluid field based on a magnetohydrodynamics momentum ring

The magnetohydrodynamic momentum ring for satellite attitude adjustment is studied in this paper. The aim of this paper is to research the fluid field characteristic distribution in the magnetohydrodynamic momentum ring. The numerical calculation results indicate that liquid metal can produce effective rotational flow under the action of electromagnetic field. The numerical results show that the fluid ring design is effective and achieves the design expectation, and it can provide reference for the future experimental tests.
The Impact of System and Information Quality on User Satisfaction and Continuance Intention: An Analysis of Online Motorcycle Taxi (Ojek-Online) Applications

Purpose: The study’s goal was to analyze the adoption of online motorcycle taxi (in Indonesia it is called an ojek online) technology with the purpose to keep using the application.Methods: The study used the System Success Model to develop this research model. It was conducted based on the premise that information quality and system quality positively influence the ease and usefulness of the system application. The ease and usefulness of the system application have implications for user satisfaction and the intention to continue using the system. The study employed Structural Equation Modeling (SEM) using PLS (SEM) 4.0 to test and evaluate the measurement model and structural model. A sample of 235 respondents who are users of the online motorcycle taxi system in Semarang City was used in the study.Result: Out of 10 hypotheses tested, 9 hypotheses were accepted and 1 hypothesis was rejected. The usefulness of the system had a negative and insignificant influence on the intention to continue using the system. The intention to continue using the online motorcycle taxi application was strongly determined by the ease of the application system and user satisfaction. The discoveredings also showed that the quality of the system had the strongest influence on the ease of the system. Novelty: This study was unique in combining the Technology Acceptance Model and Mclean Delone approach to test the quality of the online motorcycle taxi application towards user satisfaction and intention to continue using the application.
Participial Relative Clauses

Relative clauses of which the predicate contains a present, past, or passive participle can be used in a reduced form. Although it has been shown that participial relative clauses cannot always be considered to be non-complete variants of full relative clauses, they are generally called reduced relative clauses in the literature. Since they differ from full relative clauses in containing a non-finite predicate, they are also called non-finite relative clauses. Another type of non-finite relative clause is the infinitival relative clause. In English, in participial relative clauses, the antecedent noun is interpreted as the subject of the predicate of the relative clause. Because of this restriction, the status of relative clause has been put into doubt for participial adnominal modifiers, especially, because in a language such as English, they can occur in pre-nominal position, whereas a full relative clause cannot. While some linguists analyze both pre-nominal and post-nominal participles as verbal, others have argued that participles are essentially adjectival categories. In a third type of analysis, participles are divided into verbal and adjectival ones. This also holds for adnominal participles. Besides the relation to full relative clauses and the category of the participle, participial relative clauses raise a number of other interesting questions, which have been discussed in the literature. These questions concern the similarity or difference in interpretation of the pre-nominal and the post-nominal participial clause, restrictions on the type of verb used in past participial relative clauses, and similarities and differences between the syntax and semantics of participial clauses in English and other languages. Besides syntactic and semantic issues, participial relative clauses have raised other questions, such as their use in texts. Participial relative clauses have been studied from a diachronic and a stylistic point of view. It has been shown that the use of reduced forms such as participial relative clauses has increased over time and that, because of their condensed form, they are used more in academic styles than in colloquial speech. Nonetheless, they have proven to be used already by very young children, although in second language acquisition they are used late, because their condensed form is associated with an academic style of writing. Since passive or past participles often have the same form as the past tense, it has been shown that sentences containing a subject noun modified by a post-nominal past or passive participle are difficult to process, although certain factors may facilitate the processing of the sentence.
Fault-Tolerant Control of Electric-Spring Enabled Solid-State Transformer Under Dual Active Bridge Failure

The electric-spring (ES) technology is recently integrated into a solid-state transformer (SST) to support the power grid at the distribution voltage level and provide an 800-V dc grid for large-scale electric vehicle (EV) charging infrastructure. The ES-enabled SST (ES-SST) studied here consists of a diode-clamped converter (DCC) and several dual active bridges (DABs). The failure of one DAB could pose a big challenge to the balance of the dc-link capacitors and threatens the operation of the whole system. Existing voltage-balancing methods are not suitable for the faulty ES-SST due to the highly uneven distribution of the capacitor output power. In this article, a fault-tolerant control method is proposed to keep the capacitor voltages balanced under the DAB failure and maintain the operation of the system. The proposed control features a modulation algorithm to maximize the balancing capability of the DCC, the insertion of a zero-sequence voltage offset in the ac voltages, and the deliberate generation of reactive power. A numerical tool is also developed to predict the operability of the faulty system and design the controller. Simulation and experiments are conducted to verify the proposed control.
Reed-Solomon Forward Error Correction (FEC) Schemes for FECFRAME

This document describes two fully-specified FEC schemes for Reed- Solomon codes that can be used to protect media streams along the lines defined by the FECFRAME framework. Reed-Solomon codes belong to the class of Maximum Distance Separable (MDS) codes which means they offer optimal protection against packet erasures. They are also systematic codes, which means that the source symbols are part of the encoding symbols. The price to pay is a limit on the maximum source block size, on the maximum number of encoding symbols, and a computational complexity higher than that of sparse parity check based FEC codes. However, this complexity remains compatible with software codecs. The first scheme is for Reed-Solomon codes over GF(2^^m), with m in {2.16}, a simple FEC encoding and arbitrary packet flows. The second scheme is similar to the first scheme, with the exception that it is for a single sequenced flow.
Designing an Intrusion Detection for an Adjustable Speed Drive System Controlling a Critical Process

In this article, we address the cyber-security problem of industrial control systems (ICSs) when their sensor measurements may be compromised due to an attacker who has intercepted those measurements via a network. We introduce a general-purpose method “Dynamic Watermarking (DW)” to detect potential cyber-intrusions on speed sensor measurements within industrial control systems, which deploy an adjustable speed drive (ASD) to control a critical process. The DW method is injecting a random private low-amplitude signal with a zero mean Gaussian distribution, “watermark”, into one of the input phase voltages powering the ASD system. The watermark signal propagates through the system including pulse width modulation (PWM) power conversion stage and motor, then ultimately appears in the speed sensor measurements. By deploying two statistical DW tests with two proper thresholds, the system can detect potential cyber-intrusions or unobservable cyber-attacks such as replay attacks and false data injection attacks (FDIA). The DW method tested on a laboratory-scale ASD system experimentally to protect the system against cyber-intrusions. This system, powered by a commercial PWM drive operating at 208 V, 3-phase, and 3.7 kW, served as our experimental platform.
Segmentation of the Synthetic Aperture Radar Image Using the Watershed Transformation and Region Merging Technique

This paper presents an efficient algorithm that segments the synthetic aperture radar (SAR) image into several homogeneous regions by combining edgeand region-based information. A multi-direction ratio edge detector is used to capture the locally directional variation information of a SAR image and construct the ratio edge strength map (RESM) of the SAR image. Watershed transformation is performed on the thresholded RESM to obtain an over-segmentation result. An efficient hierarchical region merging procedure based on the region adjacency graph representation of the image regions is proposed. A novel dissimilarity measurement between the two adjacent regions is derived from the multiplicative noise speckle model of the multi-look SAR image. Experimental results and the performance evaluation show that the proposed method outperforms two widely used SAR image segmentation approaches.