Miracle-dz/UniFAR-FTUs huggingface dataset:
A note on the Joint Spectral Radius

Last two decades have been characterized by an increasing interest in theanalysis of the maximal growth rate of long products generated by matricesbelonging to a speci c set/family. The maximal growth rate can be evaluatedconsidering a generalization of the spectral radius of a single matrix to thecase of a set of matrices.This generalization can be formulated in many di erent ways, never-theless in the commonly studied cases of bounded or nite families all thepossible generalizations coincide in a unique value that is usually called jointspectral radius or simply spectral radius. The joint spectral radius, however,can prove to be hard to compute and can lead even to undecidable prob-lems. We present in this paper all the possible generalizations of the spectralradius, their properties and the associated theoretical challenges.From an historical point of view the rst two generalizations of spectralradius, the so{called joint and common spectral radius, were introducedby Rota and Strang in the three pages paper \A note on the joint spectralradius" published in 1960 [62]. After that more than thirty years had topass before a second paper was issued on this topic: in 1992 Daubechiesand Lagarias [21] published \Sets of matrices all in nite products of whichconverge" introducing the generalized spectral radius, conjecturing it wasequal to the joint spectral radius (this was proven immediately after by
The Effect of Self-Efficacy on Student's Work Readiness in the Tourism Study Program in Java-Bali

Work Readiness is becoming a prioritizing factor for students who graduated in the era of Society 5.0, especially in the tourism industry. One of the determinant elements is Higher Order Thinking Skills and Digital Dexterity. This study is intended to analyze the factors that affect student work readiness; these factors include the ability to think at a high level in the stages of thinking according to Taxonomy Bloom, having a Proactive Personality and mastering digital agility. Proactive Personality in this research was tested as the dominant factor of work readiness. The influence of these factors is strengthened by strong Self-Efficacy, which will help students to prepare for working in the industry. This study put focuses on Hospitality Self Efficacy and Using a descriptive quantitative method, analysis by SmartPLS 3.0, the data from 431 respondents of university students who are members of HILDIKTIPARI (Association of Indonesian Tourism Higher Education Institutions) in Java and Bali have been analyzed, and the results proved that Self-Efficacy as mediation, is able to play a full-mediation role in influencing the relationship between digital agility and student work readiness.
A NEW SOLAR FLUORINE ABUNDANCE AND A FLUORINE DETERMINATION IN THE TWO OPEN CLUSTERS M67 AND NGC 6404

We present a new determination of the solar fluorine abundance together with abundance measurements of fluorine in two Galactic open clusters. We analyzed a sunspot spectrum, observed by L. Wallace and W. Livingston with the Fourier Transform Spectrometer at the McMath/Pierce Solar Telescope situated on Kitt Peak, and spectra of four giants in the old cluster M67 (∼4.5 Gyr) and three giants in the young cluster NGC 6404 (∼0.5 Gyr), obtained with the CRIRES spectrograph at the Very Large Telescope. Fluorine was measured through the synthesis of the available HF lines. We adopted the recent set of experimental molecular parameters of HF delivered by the HITRAN database, and found a new solar fluorine abundance of A(F) = 4.40 ± 0.25, in good agreement with the M67 average fluorine abundance of A(F) = 4.49 ± 0.20. The new solar abundance is in a very good agreement with the meteoritic value. The modern spectrosynthesis tools used and the agreement with the meteoritic value and with the results in open cluster M67, known to be a solar analogue, make our solar determination very robust. At the same time, the fluorine measurement in the above-mentioned open clusters is the first step toward understanding its evolution during the last ∼10 Gyr in the Galactic disk. In order to develop this project, a larger sample of open clusters is required, in order to allow us to trace the evolution of fluorine as a function of time and, in turn, to better understand its origin.
Comparing the usability of the World Health Organization’s conventional tuberculosis guidelines to the eTB recommendations map: A two-arm superiority randomised controlled trial

Best practices for the dissemination of global health guidelines has not undergone rigorous research. We used a new approach to digitizing World Health Organization (WHO) global tuberculosis guideline recommendations (eTB RecMap) and compared its usability to the conventional method of accessing TB recommendations using the WHO website. We conducted a two-arm superiority randomised controlled trial using a survey among global stakeholders who were past or planned future users of TB guidelines, recommendations, or policy advice. We assigned participants randomly (1:1) to complete an activity using the WHO eTB RecMap or the conventional website. The primary outcome was the accessibility of information and secondary outcomes understanding, satisfaction, and preference for one of the two formats. Between February 26 and August 29, 2021, we received 478 responses from stakeholders, of whom 244 (122 per group) were eligible and provided analysable results. Participants rated the eTB RecMap as more accessible, on average, when compared to the conventional website (on a seven-point scale, the mean difference {MD} was 0.9; 95% confidence interval {CI}: 0.6, 1.2; p < 0.001) and were more likely to correctly answer understanding questions. This is the first trial comparing digitized dissemination formats of health guideline recommendations. Stakeholders rated the WHO eTB RecMap as more accessible than the conventional WHO website for the tested recommendations. They also understood presented information better. The findings support better usability of TB information through the eTB RecMap and contribute to the effort to end the TB epidemic. Trial registration: This trial was registered with ClinicalTrials.gov (NCT04745897) on February 9, 2021.
SIKAP PNS TERHADAP NIAT MENGGUNAKAN SIMDA KEUANGAN DALAM PROSES PENGELOLAAN KEUANGAN DAERAH DI LINGKUNGAN PEMERINTAH BENGKULU TENGAH

Information technology systems in establishing effective financial management includes budgeting, implementation / Business Management, and reporting and accountability are fast, accurate, and appropriate and in accordance with the regulations, it is necessary efforts to carry out financial management as expected above. Attempts to run the financial management to be effective so as to achieve results quickly, accurately, and proper and in accordance with the regulations can be achieved by the issuance of Regional Management Information System (SIMDA) made by the Financial Supervisory Agency of Finance and Development. This study aims to demonstrate empirically the effect of perceived usefulness on intention to use SIMDA Treasury civil servant in the Government Bengkulu Tengah and to demonstrate empirically the effect of perceived ease of use on intention PNS SIMDA Finance in the Government of Bengkulu Tengah. The research uses primary with in the form of questionnaires. Analyzed using multiple linear regression analysis.From the results of multiple linear regression testing can be concluded that the influence of perception Usefulness (H1) is positive and significant impact on intention to use SIMDA Finance so that the first hypothesis (H1) is accepted and the perceived ease result (H2) significant positive effect on intention to use SIMDA Finance, so The second hypothesis (H2)is accepted.
Androgen-Responsive Oncogenic lncRNA RP11-1023L17.1 Enhances c-Myc Protein Stability in Prostate Cancer

Long noncoding RNAs (lncRNAs) have been found as novel participants in the pathophysiology of prostate cancer (PCa), which is predominantly regulated by androgen and its receptor. The biological function of androgen-responsive lncRNAs remains poorly understood. Here, we identified that lncRNA RP11-1023L17.1, which is highly expressed in PCa. RP11-1023L17.1 expression, can be directly repressed by the androgen receptor in PCa cells. RP11-1023L17.1 depletion inhibited the proliferation, migration, and cell cycle progression, and promoted the apoptosis of PCa cells, indicating that RP11-1023L17.1 acts as an oncogene in PCa cells. Microarray results revealed that RP11-1023L17.1 depletion downregulated the c-Myc transcription signature in PCa cells. RP11-1023L17.1 depletion-induced cellular phenotypes can be overcome by ectopically overexpressed c-Myc. Mechanistically, RP11-1023L17.1 represses FBXO32 mRNA expression, thereby enhancing c-Myc protein stability by blocking FBXO32-mediated c-Myc degradation. Our findings reveal the previously unrecognized roles of RP11-1023L17.1 in c-Myc-dependent PCa tumorigenesis.
UNIVERSAL CONSTRAINTS ON 2D CFTS AND 3D GRAVITY

OF DISSERTATION UNIVERSAL CONSTRAINTS ON 2D CFTS AND 3D GRAVITY We study constraints imposed on a general unitary two-dimensional conformal eld theory by modular invariance. We begin with a review of previous bounds on the conformal dimension 1 of the lowest primary operator assuming unitarity, a discrete spectrum, modular invariance, c; c > 1, and no extended chiral algebra. We then obtain bounds on the conformal dimensions 2, 3 using no additional assumptions. We also show that in order to nd a bound for 4 or higher n, we need to assume a larger minimum value for ctot that grows logarithmically with n. We next extend the previous results to remove the requirement that our two-dimensional conformal eld theories have no extended chiral algebra. We then show that modular invariance also implies an upper bound on the total number of states of positive energy less than ctot=24 (or equivalently, states of conformal dimension between ctot=24 and ctot=12), in terms of the number of negative energy states. Finally, we consider the case where the CFT has a gravitational dual and investigate the gravitational interpretation of our results. Using the AdS3/CFT2 correspondence, we obtain an upper bound on the lightest few massive excitations (both with and without the constraint of no chiral primary operators) in a theory of 3D matter and gravity with < 0. We show our results are consistent with facts and expectations about the spectrum of BTZ black holes in 2+1 gravity. We then discuss the upper and lower bounds on number of states and primary operators in the dual gravitational theory, focusing on the case of AdS3 pure gravity.
Algorithms for Large-Scale Local Causal Discovery and Feature Selection In the Presence Of Limited Sample Or Large Causal Neighbourhoods

Summary Inducing the local causal neighbourhood (LCN) around one or more target variables of interest T provides a solution to the problem of efficient causal discovery when the total number of variables is large (i.e., in the hundreds or thousands) and the generating graph is dense. The LCN can be defined in a number of useful ways: as the set of direct causes of T; as the set of direct effects of T; as the set of direct causes and direct effects of T ; as the set of direct causes and/or direct effects, and/or direct causes-and-direct-effects up to depth k ; and as the Markov Blanket of T. Induction of the local causal neighbourhood answers fundamental causal questions about T; induction of the Markov Blanket in particular also provides the minimal set of predictors for T (i.e., provides a solution to the Feature Selection Problem for Classification ). Previously we had introduced sound and efficient algorithms for inducing the local neighbourhood, primarily by first inducing the Markov Blanket. In the present report we introduced several new algorithms that induce the Markov Blanket or directly the direct causes and direct effects. Most importantly, the new algorithms are practical when the sample size is small relative to the size of the local neighbourhood. The new algorithms are very efficient in practical experiments with more that a hundred thousand 8
Searching for New Physics through LFV Processes

Muon lepton flavor processes are reviewed in connection with search for physics beyond the standard model. Several methods to distinguish different theoretical models are discussed for $\mu \to e \gamma$, $\mu \to 3 e$, and $\mu - e$ conversion processes. New calculation of the $\mu - e$ conversion rate is presented including a Higgs boson mediated effect in the supersymmetric seesaw model.
Suppression of Pulse Intensity Dependent Dispersion during Nonlinear Spectral Broadening with Intermediate Compression for Passive CEP Stable Pulse Generation

The intensity fluctuation induced spectral phase-change of the laser pulse during nonlinear spectral broadening is theoretically investigated. The oscillation of the phase-change curves at the central part of the spectra is explained by the two-wave interference model, while the bending of the phase-change curves at the wings is considered to originate from the intensity dependent dispersion caused by the self-steepening (SST) effect. Both of them can degrade carrier envelop phase (CEP) stability after an intra-pulse difference frequency generation (IP-DFG) setup. We propose an effective approach to suppress the intensity dependent dispersion with intermediate compression. Verified by numerically simulations, well-phased spectral components at the wings can be obtained, which is highly beneficial for CEP stable pulse generation with noisy input.
The challenges of designing learning games: Interviewing professional learning game designers

The professional practice of designing digital learning games has existed for more than four decades. Even though considerable work has been done on research and development projects that include learning games (e.g., through Design-Based Research projects), there is relatively limited research on how professional learning game designers work, and what design challenges they face when trying to develop learning games for K-12 educational contexts. In this explorative interview study, we take a closer look at the design challenges that experienced learning game designers face during the design process, and what complexities and dilemmas they need to balance in doing so. The interview study is based on extended semi-structured interviews with five experienced learning game designers from five different learning game companies from Europe and the US. Having transcribed and coded the interview data, we conducted a thematic analysis to address the following research question: How do learning game designers experience and manage the different knowledge forms and design challenges that emerge when developing games for K-12 educational contexts? To answer this question, we draw on insights from design theory and domain theory, which allows us to map and analyse how the learning game designers try to establish links between different forms of knowledge across three domains: the pedagogical domain, the disciplinary domain, and the game design domain. Based on the thematic analysis, we identify three design principles across these domains, which are central to the learning game design process: 1) creating a shared language and repertoire for the involved actors (e.g., game designers, subject matter experts, and educational practitioners) across the three domains, 2) establishing meaningful links between educational aims and game elements, and 3) considering the educational context of the learning game. Addressing these design principles are all crucial, when engaging in the highly complex task of designing games for educational purposes.
Iterative Dynamic Programming—An Efficient Method for the Validation of Power Flow Control Strategies

The operation of electrical networks, microgrids, or heterogeneous battery systems, especially the dispatch of single units within the system, requires sophisticated power flow control strategies. If objectives such as efficiency are demanded for the operation of the energy system, typical control strategies lack the ability to verify the optimality of the operation. Dynamic programming is a widely used method for determining the global optima of trajectory problems. In the context of energy systems and power flow optimization, it is restricted to applications with a low number of states and decisions. The reason for this is the rapid growth of computational effort with increasing dimensionality of the state and decision space. The approach of iterative dynamic programming (iDP) makes dynamic programming applicable to the planning and benchmarking of complex power flow optimization problems. To illustrate this, a heterogeneous battery energy storage system is introduced for which the iDP optimizes the power split at the point of common coupling to minimize the total cumulative loss of energy. The method can be adopted for a broad range of energy systems such as microgrids, utility grids, or electric vehicles. The applicability is limited only by the computation time, which depends on the model complexity and the length of the time series. To verify the functionality of the iterative dynamic programming, its results are directly compared to those of the standard dynamic programming. The total computation time can be reduced by 98% in the tested scenario. As relevant use cases, static and dynamic methods of power sharing are validated and benchmarked. The iDP offers a novel and computationally efficient method for the design and validation of power flow control strategies.
The effect of lexical predictability on word processing in fast and slow readers during Chinese reading

According to the lexical quality hypothesis, high proficient (fast) readers have well-specified lexical representations which enable automatic word identification and less context decoding (Andrews, 2015; Perfetti, 2007), while low proficient (slow) readers rely on context for word identification during reading due to their imprecise lexical quality. In contrast, the predictive coding framework assumes that high proficient readers rely more on their reading experience to predict the upcoming context compared to low proficient readers (Hawelka et al., 2015). However, it is still unclear how skilled readers with different levels of reading proficiency rely on context information (e.g., predictability) for word processing during Chinese reading. In two experiments, the present study aimed to investigate individual differences in the use of predictability for word identification by using the eye-tracking technique.
Radio galaxy populations and the multitracer technique: pushing the limits on primordial non-Gaussianity

We explore the use of different radio galaxy populations as tracers of different mass halos and therefore, with different bias properties, to constrain primordial nonGaussianity of the local type. We perform a Fisher matrix analysis based on the predicted auto and cross angular power spectra of these populations, using simulated redshift distributions as a function of detection flux and the evolution of the bias for the different galaxy types (Star forming galaxies, Starburst galaxies, Radio-Quiet Quasars, FRI and FRII AGN galaxies). We show that such a multi-tracer analysis greatly improves the information on non-Gaussianity by drastically reducing the cosmic variance contribution to the overall error budget. By using this method applied to future surveys, we predict a constraint of σfnl = 3.6 on the local non-Gaussian parameter for a galaxy detection flux limit of 10µJy and σfnl = 2.2 for 1 µJy. We show that this significantly improves on the constraints obtained when using the whole undifferentiated populations (σfnl = 48 for 10 µJy and σfnl = 12 for 1 µJy). We conclude that continuum radio surveys alone have the potential to constrain primordial non-Gaussianity to an accuracy at least a factor of two better than the present constraints obtained with Planck data on the CMB bispectrum, opening a window to obtain σfnl � 1 with the Square Kilometer Array.
Hidden Quantum Markov Models and non-adaptive read-out of many-body states

Stochastic finite-state generators are compressed descriptions of infinite time series. Alternatively, compressed descriptions are given by quantum finite- state generators [K. Wiesner and J. P. Crutchfield, Physica D 237, 1173 (2008)]. These are based on repeated von Neumann measurements on a quantum dynamical system. Here we generalise the quantum finite-state generators by replacing the von Neumann pro jections by stochastic quantum operations. In this way we assure that any time series with a stochastic compressed description has a compressed quantum description. Moreover, we establish a link between our stochastic generators and the sequential readout of many-body states with translationally-invariant matrix product state representations. As an example, we consider the non-adaptive read-out of 1D cluster states. This is shown to be equivalent to a Hidden Quantum Model with two internal states, providing insight on the inherent complexity of the process. Finally, it is proven by example that the quantum description can have a higher degree of compression than the classical stochastic one.
Probabilistic modeling of wavelet coefficients for processing of image and video signals

Statistical estimation and detection techniques are widely used in signal processing including wavelet-based image and video processing. The probability density function (PDF) of the wavelet coefficients of image and video signals plays a key role in the development of techniques for such a processing. Due to the fixed number of parameters, the conventional PDFs for the estimators and detectors usually ignore higher-order moments. Consequently, estimators and detectors designed using such PDFs do not provide a satisfactory performance. This thesis is concerned with first developing a probabilistic model that is capable of incorporating an appropriate number of parameters that depend on higher-order moments of the wavelet coefficients. This model is then used as the prior to propose certain estimation and detection techniques for denoising and watermarking of image and video signals. Towards developing the probabilistic model, the Gauss-Hermite series expansion is chosen, since the wavelet coefficients have non-compact support and their empirical density function shows a resemblance to the standard Gaussian function. A modification is introduced in the series expansion so that only a finite number of terms can be used for modeling the wavelet coefficients with rendering the resulting PDF to become negative. The parameters of the resulting PDF, called the modified Gauss-Hermite (NIGH) PDF, are evaluated in terms of the higher-order sample-moments. It is shown that the MGH PDF fits the empirical density function better than the existing PDFs that use a limited number of parameters do. The proposed MGH PDF is used as the prior of image and video signals in designing maximum a posteriori and minimum mean squared error-based estimators for denoising of image and video signals and log-likelihood ratio-based detector for watermarking of image signals. The performance of the estimation and detection techniques are then evaluated in terms of the commonly used metrics. It is shown through extensive experimentations that the estimation and detection techniques developed utilizing the proposed MGH PDF perform substantially better than those that utilize the conventional PDFs. These results confirm that the superior fit of the MGH PDF to the empirical density function resulting from the flexibility of the MGH PDF in choosing the number of parameters, which are functions of higher-order moments of data, leads to the better performance. Thus, the proposed MGH PDF should play a significant role in wavelet-based image and video signal processing