Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Perceived Usefulness and Perceived Ease of Use through Actual Usage of E-Filing on Tax Compliance of Individual Taxpayers in East Medan Tax Service Office

Original Research Article East Medan Tax Service Office is one of the Kanwil DGT North Sumatra I units which target of e-filing has not been reached (the individual taxpayer e-filing achievement target of 2017 is 84.57%). The factors that affect the e-filing target include achieving the e-filing target. Therefore, this study aims to look at perceived ease of use of e-filing and its implications for the individual taxpayer of compliance at the East Medan Tax Service Office. The data collection is done by distributing questionnaires. The population research was the individual taxpayer listed on the East Medan Tax Service Office that had reported their annual tax return in 2018 through an e-filing system, using Form 1770 as many as 4,775 people. The research sample is amounted to 370 people who were calculated using the Slovin formula. The data analysis method is based on the analysis of Structural Equation Modeling-Partial Least Squares (SEM-PLS) with Smart PLS 3.0 analysis tools. The results showed that perceived usefulness has a significant effect on the use of efiling, perceived ease of use has a significant effect on the use of e-filing, perceived usefulness has a positive and significant effect on tax compliance, perceived ease of use has a significant effect on tax compliance, the use of efiling has a positive and significant effect on tax compliance, perceived usefulness has a positive and significant effect on tax compliance. Taxpayer compliance through the use of e-filing and perceived ease of use of e-filing has a positive and significant effect on taxpayer compliance through the use of e-filing.
EVALUATION OF G. HIRSUTUM EXOTIC ACCESSIONS FROM UZBEK COTTON GERMPLASM COLLECTION FOR FURTHER MOLECULAR MAPPING PURPOSES

GERMPLASM COLLECTION FOR FURTHER MOLECULAR MAPPING PURPOSES Ibrokhim Y. Abdurakhmonov, Abdumalyan A. Abdullaev, Sofiya M. Rizaeva, Zabardast T. Buriev, Azoda T. Adylova, and Abdusattor A. Abdukarimov Institute of Genetics and Plant Experimental Biology Academy of Sciences of Uzbekistan Tashkent, Uzbekistan Sukumar Saha USDA-ARS, Crop Science Research Laboratory Mississippi State, MS Russell Kohel USDA-ARS, Crop Germplasm Research Unit College Station, TX Alan E. Pepper Biology Department, Texas A&M University College Station, TX
Our Healthy Block: Evaluation of a Community-Based Healthy Eating and Physical Activity Intervention

Overnutrition, unhealthy food choices, and physical inactivity contribute to increasing rates of obesity, and related morbidity and premature death from cardiovascular disease, diabetes, cancer, and other causes in the U.S [1]. Neighborhood environments may be particularly important to food choice behaviors and physical activity or inactivity [2] and to successful health-enhancing lifestyle changes [3]. Research about the impact of the nutrition environment on eating behavior indicates that local availability of healthy foods influences what people eat and may help explain racial and economic disparities in healthy food access, consumption, obesity rates, and chronic disease [2]. For example, using data from an urban food environment audit and a survey of residents’ food shopping behaviors, Cannuscio and colleagues found that, based on objective measures, less diverse and less healthful foods are available at supermarkets where lower-income residents shop. They also found that raceand income-based disparities played an important role in food purchasing behaviors [3,4]. In addition, neighborhood characteristics such as the availability of sidewalks, accessible routes to local destinations, and safe pedestrian infrastructure influence residents’ engagement in physical activity [2].
Review of Muffler Performance by changing design parameters

This study has been undertaken to review the design parameters of muffler, so that new proposed design attributes can be undertaken for enhancing the performance index thereby leading to reduction of transmission losses and acoustic noise for better environmental control. The design analyses have been carried out by meteorological estimation by using measurement gauges. The proposed design will configure the muffler chambers in such a way that adequate acoustic noise reduction can be carried out efficiently leading to the next generation muffler design. The new muffler design can be easily incorporated in present automobiles with less cost but leading to better environmental control. Index Terms muffler, design parameters, transmission losses, acoustic noise, measurement gauges.
A New Cyproheptadine PVC Ion Selective Electrode and their Applications in Pharmaceutical Preparations and Human Fluids

A simple, sensitive and rapid method for the determination of Cyproheptadine in the pharmaceutical preparations and human fluids. The construction and electrochemical response characteristics of a poly vinyl chloride (PVC) membrane selective electrode for the determination of CPH are described. The proposed sensor was composed of cyproheptadine-Bromophenol blue as ion-exchanger and Di-butylphthalate (DBPH) (electrode A), Tris (2-ethylhexyl) phosphate (TEHP) (electrode B) and Ortho-nitrophenyloctylether (ONPOE) (electrode C) as plasticizers. The slopes were 53.10, 58.72 and57.44 mV/decade for electrode A, B and C. The linear ranges were 1×10-5 - 1×10-2, 5×10-5 -1×10-2 and 5×10-5 -1×10-2 M and the detection limits were 9×10-6,4.5×10-5 and 4×10-5 M for Electrode A,B and C respectively. The electrode B based on TEHP showed the best results. Electrodes were successfully applied to the determination of the cyproheptadine in tablets and human fluids by direct and standard addition potentiometry.
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling

Recent evaluation protocols for Cross-document (CD) coreference resolution have often been inconsistent or lenient, leading to incomparable results across works and overestimation of performance. To facilitate proper future research on this task, our primary contribution is proposing a pragmatic evaluation methodology which assumes access to only raw text -- rather than assuming gold mentions, disregards singleton prediction, and addresses typical targeted settings in CD coreference resolution. Aiming to set baseline results for future research that would follow our evaluation methodology, we build the first end-to-end model for this task. Our model adapts and extends recent neural models for within-document coreference resolution to address the CD coreference setting, which outperforms state-of-the-art results by a significant margin.
Cost of inner amenable groupoids

Kida and Tucker-Drob recently extended the notion of inner amenability from countable groups to discrete p.m. p. groupoids. In this article, we show that inner amenable groupoids have “fixed priced 1” in the sense that every principal extension of an inner amenable groupoid has cost 1. This simultaneously generalizes and unifies two well known results on cost from the literature, namely, (1) a theorem of Kechris stating that every ergodic p.m. p. equivalence relation admitting a nontrivial asymptotically central sequence in its full group has cost 1, and (2) a theorem of Tucker-Drob stating that inner amenable groups have fixed price 1.
Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration

This study addresses incident handling during an adverse event for dynamical networked control systems. Incident handling can be divided into five steps: detection, analysis, containment, eradication, and recovery. For networked control systems, the containment step can be conducted through physical disconnection of an attacked subsystem. In accordance with the disconnection, the equipped attack detection unit should be reconfigured to maintain its detection capability. In particular, separating the detection subunit associated with the disconnected subsystem is considered as a specific reconfiguration scheme in this study. This article poses the problem of disconnection-aware attack detection and isolation with the separation-based detector reconfiguration. The objective is to design an attack detection unit that preserves its detection and isolation capability even under any possible disconnection and separation. The difficulty arises from network topology variation caused by disconnection that can possibly lead to stability loss of the distributed observer inside the attack detection unit. A solution is proposed based on an existing controller design technique referred to as retrofit control. Furthermore, an application to low-voltage power distribution networks with distributed generation is exhibited. Numerical examples evidence the practical use of the proposed method through a benchmark distribution network.
Perceptual Video Quality Prediction Emphasizing Chroma Distortions

Measuring the quality of digital videos viewed by human observers has become a common practice in numerous multimedia applications, such as adaptive video streaming, quality monitoring, and other digital TV applications. Here we explore a significant, yet relatively unexplored problem: measuring perceptual quality on videos arising from both luma and chroma distortions from compression. Toward investigating this problem, it is important to understand the kinds of chroma distortions that arise, how they relate to luma compression distortions, and how they can affect perceived quality. We designed and carried out a subjective experiment to measure subjective video quality on both luma and chroma distortions, introduced both in isolation as well as together. Specifically, the new subjective dataset comprises a total of 210 videos afflicted by distortions caused by varying levels of luma quantization commingled with different amounts of chroma quantization. The subjective scores were evaluated by 34 subjects in a controlled environmental setting. Using the newly collected subjective data, we were able to demonstrate important shortcomings of existing video quality models, especially in regards to chroma distortions. Further, we designed an objective video quality model which builds on existing video quality algorithms, by considering the fidelity of chroma channels in a principled way. We also found that this quality analysis implies that there is room for reducing bitrate consumption in modern video codecs by creatively increasing the compression factor on chroma channels. We believe that this work will both encourage further research in this direction, as well as advance progress on the ultimate goal of jointly optimizing luma and chroma compression in modern video encoders.
Entropic Compressibility of Lévy Processes

In contrast to their seemingly simple and shared structure of independence and stationarity, Lévy processes exhibit a wide variety of behaviors, from the self-similar Wiener process to piecewise-constant compound Poisson processes. Inspired by the recent paper of Ghourchian, Amini, and Gohari, we characterize their compressibility by studying the entropy of their double discretization (both in time and amplitude) in the regime of vanishing discretization steps. For a Lévy process with absolutely continuous marginals, this reduces to understanding the asymptotics of the differential entropy of its marginals at small times, for which we obtain a new local central limit theorem. We generalize known results for stable processes to the non-stable case, with a special focus on Lévy processes that are locally self-similar, and conceptualize a new compressibility hierarchy of Lévy processes, captured by their Blumenthal–Getoor index.
Local Higher-Order Fixpoint Iteration

Local fixpoint iteration describes a technique that restricts fixpoint iteration in function spaces to needed arguments only. It has been studied well for first-order functions in abstract interpretation and also in model checking. Here we consider the problem for least and greatest fixpoints of arbitrary type order. We define an abstract algebra of simply typed higher-order functions with fixpoints that can express fixpoint evaluation problems as they occur routinely in various applications, including program verification. We present an algorithm that realises local fixpoint iteration for such higher-order fixpoints, prove its correctness and study its optimisation potential in the context of several applications.
Optimization Model of Adaptive Decision Taking Support System for Distributed Systems Cyber Security Facilities Placement

Abstract — An article herein presents an optimization model, designated for computational core of decision-taking support system (DTSS). DTSS is necessary for system analysis and search of optimal versions for cybersecurity facilities placement and information protection of an enterprise or organization distributed computational network (DCN). DTSS and a model allow automize the analysis of information protection and cybersecurity systems in different versions. It is possible to consider, how separate elements, influence at DCN protection factors and their combinations. Offered model, in distinction from existing, has allowed implementing both the principles of information protection equivalency to a concrete threat and a system complex approach to forming a highly effective protection system for DCN. Hereby we have presented the outcomes of computational experiments on selecting the rational program algorithm of implementing the developed optimization model. It has been offered to use genetic algorithm modification (GAM). Based on the offered model, there has been implemented the module for adaptive DTSS. DTSS module might be applied upon designing protected DCN, based on preset architecture and available sets of information protection and cybersecurity systems in the network.
Inter-firms relationships and supply chain strategy mechanism in Indonesian family SMEs

Abstract — In an emerging economy such as Indonesia, family firms represent the most common form of business organization. This study discussed the supply chain strategy mechanism for inter-firms relationships in context of family small medium enterprises (SMEs). This study investigated in what situation family SMEs should apply relational or and formal supply chain strategy mechanism. This study used multiple regression analysis to examine hypothesis. In the data collection, questionnaires were distributed to 350 owners and managers of small-medium enterprises, around seven cities in Java Island in Indonesia. Results indicated two factors asset specificity and uncertainty – influenced both formal and relational supply chain strategy. Through the investigation of supply chain strategy mechanism in family SMEs this study contributes to answer the appropriateness of the application supply chain strategy mechanism in Family SME
Nontrivial retardation effects in dispersion forces: From anomalous distance dependence to novel traps

In the study of dispersion forces, nonretarded, retarded and thermal asymptotes with their distinct scaling laws are regarded as cornerstone results governing interactions at different separations. Here, we show that when particles interact in a medium, the influence of retardation is qualitatively different, making it necessary to consider the non-monotonous potential in full. We discuss different regimes for several cases and find an anomalous behaviour of the retarded asymptote. It can change sign, and lead to a trapping potential.
Els\"asser formulation of the ideal MHD and improved lifespan in two space dimensions.

In the present paper, we show an improved lower bound for the lifespan of the solutions to the ideal MHD equations in the case of space dimension $d=2$. In particular, for small initial magnetic fields $b_0$ of size (say) $\varepsilon>0$, the lifespan $T_\varepsilon>0$ of the corresponding solution goes to $+\infty$ in the limit $\varepsilon\rightarrow0^+$. Such a result does not follow from standard quasi-linear hyperbolic theory. For proving it, three are the crucial ingredients: first of all, to work in endpoint Besov spaces $B^s_{\infty,r}$, under the condition $s>1$ and $r\in[1,+\infty]$ or $s=r=1$; moreover, to use the Elsasser formulation of the ideal MHD, recasted in its vorticity formulation; finally, to take advantage of the special structure of the non-linear terms. We also rigorously establish the equivalence between the original formulation of the ideal MHD and its Elsasser formulation for a large class of weak solutions. The construction of explicit counterexamples shows the sharpness of our assumptions. Related non-uniqueness issues are discussed as well.
The ALMA Spectroscopic Survey in the Hubble Ultra Deep Field: Constraining the Molecular Content at log(M*/M⊙) ∼ 9.5 with CO Stacking of MUSE-detected z ∼ 1.5 Galaxies

We report molecular gas mass estimates obtained from a stacking analysis of CO line emission in the ALMA Spectroscopic Survey (ASPECS) using the spectroscopic redshifts from the optical integral field spectroscopic survey by the Multi Unit Spectroscopic Explorer (MUSE) of the Hubble Ultra Deep Field (HUDF). Stacking was performed on subsets of the sample of galaxies classified by their stellar mass and position relative to the main-sequence relation (on, above, below). Among all the CO emission lines, from CO(2–1) to CO(6–5), with redshifts accessible via the ASPECS Band 3 and the MUSE data, CO(2–1) provides the strongest constraints on the molecular gas content. We detect CO(2–1) emission in galaxies down to stellar masses of . Below this stellar mass, we present a new constraint on the molecular gas content of main-sequence galaxies by stacking based on the MUSE detections. We find that the molecular gas mass of main-sequence galaxies continuously decreases with stellar mass down to . Assuming a metallicity-based CO–to–H2 conversion factor, the molecular gas-to-stellar mass ratio from to ∼10.0 does not seem to decrease as fast as for , which is in line with simulations and studies at lower redshift. The inferred molecular gas density of MUSE-selected galaxies at is comparable with the one derived in the HUDF with a different CO selection. Using the MUSE data we recover most of the CO emission in our deep ALMA observations through stacking, demonstrating the synergy between volumetric surveys obtained at different wave bands.
The ALMA Spectroscopic Survey Large Program: The Infrared Excess of z = 1.5–10 UV-selected Galaxies and the Implied High-redshift Star Formation History

We make use of sensitive (9.3 μJy beam−1 rms) 1.2 mm continuum observations from the Atacama Large Millimeter/submillimeter Array (ALMA) Spectroscopic Survey in the Hubble Ultra-Deep Field (ASPECS) large program to probe dust-enshrouded star formation from 1362 Lyman-break galaxies spanning the redshift range z = 1.5–10 (to ∼7–28 M ⊙ yr−1 at 4σ over the entire range). We find that the fraction of ALMA-detected galaxies in our z = 1.5–10 samples increases steeply with stellar mass, with the detection fraction rising from 0% at 109.0 M ⊙ to % at >1010 M ⊙. Moreover, on stacking all 1253 low-mass (<109.25 M ⊙) galaxies over the ASPECS footprint, we find a mean continuum flux of −0.1 ± 0.4 μJy beam−1, implying a hard upper limit on the obscured star formation rate of <0.6 M ⊙ yr−1 (4σ) in a typical low-mass galaxy. The correlation between the infrared excess (IRX) of UV-selected galaxies (L IR/L UV) and the UV-continuum slope is also seen in our ASPECS data and shows consistency with a Calzetti-like relation at > and an SMC-like relation at lower masses. Using stellar mass and β measurements for z ∼ 2 galaxies over the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey, we derive a new empirical relation between β and stellar mass and then use this correlation to show that our IRX–β and IRX–stellar mass relations are consistent with each other. We then use these constraints to express the IRX as a bivariate function of β and stellar mass. Finally, we present updated estimates of star formation rate density determinations at z > 3, leveraging present improvements in the measured IRX and recent probes of ultraluminous far-IR galaxies at z > 2.
AI assisted Malware Analysis: A Course for Next Generation Cybersecurity Workforce

The use of Artificial Intelligence (AI) and Machine Learning (ML) to solve cybersecurity problems has been gaining traction within industry and academia, in part as a response to widespread malware attacks on critical systems, such as cloud infrastructures, government offices or hospitals, and the vast amounts of data they generate. AI- and ML-assisted cybersecurity offers data-driven automation that could enable security systems to identify and respond to cyber threats in real time. However, there is currently a shortfall of professionals trained in AI and ML for cybersecurity. Here we address the shortfall by developing lab-intensive modules that enable undergraduate and graduate students to gain fundamental and advanced knowledge in applying AI and ML techniques to real-world datasets to learn about Cyber Threat Intelligence (CTI), malware analysis, and classification, among other important topics in cybersecurity. Here we describe six self-contained and adaptive modules in "AI-assisted Malware Analysis. " Topics include: (1) CTI and malware attack stages, (2) malware knowledge representation and CTI sharing, (3) malware data collection and feature identification, (4) AI-assisted malware detection, (5) malware classification and attribution, and (6) advanced malware research topics and case studies such as adversarial learning and Advanced Persistent Threat (APT) detection.
Combinatorial characterization of right-angled hyperbolicity of 3-orbifolds

We study the right-angled hyperbolicity of a class of $3$-handlebodies with simple facial structures, each of which possesses the property that its nerve is a triangulation of its boundary. We show that such a $3$-handlebody admits a right-angled hyperbolic structure if and only if it is flag and contains no $\square$-belts, which is a generalization of Pogorelov's theorem (resp. the right-angled case of Andreev's theorem). To make sure that this characterization of right-angled hyperbolicity is of combinatorial nature, we generalize the notions of flag and $\square$-belt in the setting of simple 3-polytopes to the setting of simple 3-handlebodies, with a quite difference. The basic idea of proof of our main result consists of two aspects. First, we construct the manifold double $M_Q$ of such a 3-handlebody $Q$ by using a basic construction method from Davis; Second, based upon the works of Thurston and Perelman, we reduce the problem to how to characterize the asphericality and atoroidality of $M_Q$ in terms of combinatorics of $Q$. Most of our arguments can actually perform in the case of dimension more than or equal to three. The key point of our arguments is to cut $Q$ into a simple polytope $P_Q$, so that we can give a right-angled Coxeter cellular decomposition of $Q$, and further we can obtain an explicit presentation of $\pi_1^{orb}(Q)$. In particular, this presentation of $\pi_1^{orb}(Q)$ is an iterative HNN-extension over some right-angled Coxeter group associated with $P_Q$.