Miracle-dz/UniFAR-FTUs huggingface dataset:
Observable scattered light features from inclined and non-inclined planets embedded in protoplanetary discs

Over the last few years instruments such as VLT/SPHERE and Subaru/HiCIAO have been able to take detailed scattered light images of protoplanetary discs. Many of the features observed in these discs are generally suspected to be caused by an embedded planet, and understanding the cause of these features requires detailed theoretical models. In this work we investigate disc–planet interactions using the pluto code to run 2D and 3D hydrodynamic simulations of protoplanetary discs with embedded 30 and 300 M⊕ planets on both an inclined (i = 2.86°) and non-inclined orbit, using an α-viscosity of 4 × 10−3. We produce synthetic scattered light images of these discs at H-band wavelengths using the radiative transfer code radmc3d. We find that while the surface density evolution in 2D and 3D simulations of inclined and non-inclined planets remain fairly similar, their observational appearance is remarkably different. Most of the features seen in the synthetic H-band images are connected to density variations of the disc at around 3.3 scale heights above and below the mid-plane, which emphasizes the need for 3D simulations. Planets on sustained orbital inclinations disrupt the disc’s upper atmosphere and produce radically different observable features and intensity profiles, including shadowing effects and intensity variation of the order of 10–20 times the surrounding background. The vertical optical depth to the disc mid-plane for H-band wavelengths is τ ≈ 20 in the disc gap created by the high-mass planet. We conclude that direct imaging of planets embedded in the disc remains difficult to observe, even for massive planets in the gap.
12 Two-parameter families of reciprocal sums of products of the sine and cosine functions

In this paper, we give closed forms for 12 two-parameter families of ﬁnite sums. In each of the aforementioned 12 families of ﬁnite sums, the denominator of the summand consists of a product of the sine or cosine functions, and the length of this product can be made as large as we please.
Preference Handling in Decision-Making Problems

Intelligent `services’ are increasingly used on e-commerce platforms to provide assistance to customers. In this context, preferences have gained rapid interest for their utility in solving problems related with decision making. Research on preferences in artificial intelligence (AI) has shed light on various ways of tackling this problem, ranging from the acquisition of preferences to their formal representation and eventually their proper manipulation. Following a recent trend of stepping back and looking at decision-support systems from the user’s point of view, i.e. designing them on the basis of psychological, linguistic and personal considerations, we take up the task of developing an``intelligent” tool which uses comparative preference statements for personalised decision support. We tackle and contribute to different branches of research on preferences in AI: (1) their acquisition (2) their formal representation and (3) their implementation. We first address a bottleneck in preference acquisition by proposing a method of acquiring user preferences, expressed in natural language (NL), which favours their formal representation and further manipulation. We then focus on the theoretical aspects of handling comparative preference statements for decision support. We finally describe our tool for product recommendation that uses: (1) a review-based analysis to generate a product database, (2) an interactive preference elicitation unit to guide users to express their preferences, and (3) a reasoning engine that manipulates comparative preference statements to generate a preference-based ordering on outcomes as recommendations.
A comparison of methods for longitudinal data with nonignorable dropout with an application in systemic sclerosis

Longitudinal studies in the medical field often experience data loss resulting from subject dropout. The general practice is still dominated by the use of unproven ad-hoc techniques. Modeling methods for longitudinal data with absent values exist and are valid under different missingness assumptions. A simulation study was performed that compared the linear mixed model, a pattern-mixture model using multiple imputations, Schafer's multiple imputation PAN model, and two fully Bayesian selection models. The models were contrasted in terms of their ability to estimate the slope of the response over time, and variability of the slope estimates and confidence bounds they produced. The success of each of these models varied under different missing data mechanisms, with the mixed model and the selection model (with a low amount of dependence between the probability of missingness and response values) outstanding in the MCAR and MAR cases, and the selection model (with a higher amount of probability of missingness/response dependence) alone doing very well for NMAR data. The pattern-mixture model also had good coverage for MCAR and MAR cases, but the PAN model did the poorest under all three missing data conditions. The modeling methods were then applied to longitudinal disability scores from the Canadian Scleroderma Research Group registry. Almost all were able to identify an increase in disability over time for patients, but with varying magnitudes. This example allowed for insight into the benefits of the models that were simpler to implement (the mixed model and PAN) and the pitfalls of using the pattern-mixture model in certain irregular settings. %%%%Lors d'etudes statistiques dans le domaine medical ou l'on mesure les variables au fil du temps, il arrive souvent que certains participants abandonnent l'etude. En general, on neglige l'importance de traiter ces manques de donnees avec des methodes statistiques valides. Neanmoins, plusieurs methodes existent pour traiter ces lacunes, sous differentes hypotheses de manque de donnees. Une etude de simulation a ete effectuee afin de comparer differents modeles : mixte lineaire, melange de configurations a redressements repetes, PAN a redressements repetes (introduit par Schafer), et deux modeles de selection de Bayes. Les modeles ont ete compares en fonction de leur capacite a estimer la pente de la reaction au fil du temps, ainsi que la variabilite de l'approximation de la pente et des intervalles de confiance. En fait, la performance des modeles differe en fonction de la facon dont les donnees manquantes ont ete produites : MCAR, MAR, et NMAR. Le modele mixte et un des modeles de selection (celui avec le moins de dependance entre la probabilite d'obtenir une donne manquante et la valeur de la reaction) ont bien performe dans les cas MCAR et MAR, tandis que le second modele de selection a mieux performe dans le cas NMAR. De plus, le modele a melange de configurations a produit des…
A circular cylinder in the main-channel/floodplain interface of a compound channel: effect of the shear flow on drag and lift

The interface between the main channel and the floodplain of a compound channel is often populated by trees or buildings that normally remain emergent during floods. This study investigates how drag on an emergent cylinder is affected by the shear flow that develops at the interface. The experimental set-up features a circular cylinder at the interface of a straight compound channel under uniform flow conditions. The integral form of the equation of conservation of momentum was used to calculate the magnitude and direction of the time-averaged drag force per unit submerged-length of the cylinder. All terms were experimentally determined, except for those associated with fluid interaction with the cylinder. The same method was also applied to a cylinder under symmetrical flow conditions. It is concluded that the existence of the shear layer leads to an asymmetrical drag force and to a reduced drag coefficient.
Effect of Operation Variables of Potato Digger with Double Chain Conveyors on Crop Handling and Machine Performance

The experiments were conducted at Al- Gimma Agricultural Scheme in the Tragma area- Shendi locality, River Nile State during April – 2017, to study the effect of some operational factors related to harvesting machine such as tractor forward speed (4.4, 5.6 and 6.7km/hr, harvesting depth (16, 18 and 21cm) and the conveyer inclination (15° and 20°) on some of potato crop handling such as lifting potatoes, cut of potatoes, Bruised and Total bruised (Damage) index potato and some of machine performance such as travel reduction (wheel slippage), effective field capacity and fuel consumption. The results showed that, there were significant influences of forward speed, harvesting depth and conveyer inclination on tubers lifting, cut of potatoes while the effect of different forward speed showed no significant effect on potatoes damage, further no significant on the percentage of scuffed damage tubers, peeler damage tubers, severe damage tubers, total damage index as effecting by conveyer inclination. As the digging depth of digger increased from 16 to 18, the lifting potatoes increased from 93.42 to 94.42%, while decreased from 94.42% to 87.72% when the digging depth decreased from 21cm to 18cm. Significant and consistent increase in tubers lifting percentage was recorded due to increase in conveyer inclination. Less percentage of scuffed, peeler, severe damage tubers and total damage index of 0.2%, 0.0%, 1.6% and 21.9, respectively were recorded at speed of 6.7km/hr, while the highest percentage of scuffed, peeler and severe damage tubers of 2.1%, 0.3% and 2.7% respectively were recorded at Speed of 4.3km/hr.
A Survey of Characteristics and Signatures of A Few Low-Temperature Phases of Quantum Matter

Author(s): Ish, Daniel | Advisor(s): Srednicki, Mark | Abstract: We study two distinct systems along a similar theme. In one, we present new theoretical studies of the optical properties of the $J_2$-$\lambda$ model for the materieal FeSc$_2$S$_4$, which places it close to a quantum critical point on the disordered side of a quantum phase transition between a N #x27;{e}el ordered phase and a ``Spin-Orbital Liquid" in which spins and orbitals are entangled, quenching the magnetization. We compute the dispersion relation for the quasiparticle excitations and the form of the collective response to electric field. We argue that the latter directly probes a low energy excitation continuum characteristic of quantum criticality, and that our results reinforce the consistency of this model with experiment. In the other, through a mixture of analytic and numerical techniques, we explore the optimal approximation by a free Majorana state to individual disorder realizations of the Sachdev-Ye-Kitaev model, along with a generalization of it. We elucidate the properties of the known time-reversal symmetry breaking phase in the generalized model, finding strong evidence of "spin glass" order. For the Sachdev-Ye-Kitaev model itself, our results are inconclusive but suggest a similar order may be present at $T = 0$.
Asymptotic behaviors of ground states for a modified Gross-Pitaevskii equation

In this paper, we consider \begin{document}$ L^2 $\end{document} constrained minimization problem for a modified Gross-Pitaevskii equation with higher order interactions in \begin{document}$ \mathbb{R}^2 $\end{document} . By using an auxiliary functional and some detailed energy estimates, the blow-up behavior of ground state for the modified Gross-Pitaevskii equation was obtained under different parameter regimes. Our conclusion extends some results of [ 3 ,Theorem 3.4].
Correlation and path coefficient analysis for yield and yield components in blackgram (Vigna mungo (L.) Hepper)

Genetic variability and correlations among 82 genotypes of blackgram was assessed for twelve quantitative traits. These genotypes along with two national checks ‘T-9’ and ‘Shekhar-2’ were evaluated Field Experimentation Centre of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh, India. Wide range of variability was observed for quantitative traits The variability study indicated high to moderate phenotypic and genotypic coefficient of variation accompanied by high heritability and genetic advance as percent of mean for traits like number of clusters/plant, number of pods/cluster, primary branches/plant, harvest index and seed yield/plant indicating their importance in selection for yield improvement. Seed yield/ plant showed strong positive correlation with number of clusters/plant, number of pods/cluster and harvest index, these traits has also showed positive direct effect on seed yield indicated scope for improvement through selection of these traits.
ANALISIS KINERJA KEUANGAN TERHADAP LAPORAN KEUANGAN SESUDAH PENERAPAN POLA PENGELOLAAN KEUANGAN BADAN LAYANAN UMUM DAERAH (PPK-BLUD) PADA RSUD IDAMAN BANJARBARU KOTA BANJARBARU

Abstract: The aims of this study is to analyze and describe the achievement of financial performance and the results obtained on the evaluation of financial performance at the RSUD Idaman Banjarbaru after the implementation of PPK-BLUD in the period 2013 until 2016. The method used is by calculating the financial ratio consisting of cash ratio, current ratio, receivable collection period, fixed asset turnover ratio, fixed asset turnover ratio, equity ratio, inventory turnover, PNBP ratio to operational cost, patient subsidy cost ratio and value financial performance by Per-34 / PB / 2014 from 2013 to 2016. The results showed that the financial performance of RSUD Idaman Banjarbaru obtained fluctuating results although tend to be almost the same during the year 2013-2016, and the value of financial performance obtained good criterion (A) with a value of 73.68%. Keywords: PPK-BLUD, Financial Performance, Hospital, Financial RatioAbstrak: Tujuan dari penelitian ini adalah untuk menganalisis dan mendeskripsikan capaian kinerja keuangan dan hasil yang didapat atas penilaian kinerja keuangan pada Rumah Sakit Umum Daerah (RSUD) Idaman Banjarbaru setelah penerapan PPK-BLUD periode tahun 2013 sampai dengan tahun 2016. Metode yang digunakan adalah dengan menghitung nilai rasio keuangan yang terdiri atas rasio kas, rasio lancar, periode penagihan piutang, rasio perputaran aktiva tetap, rasio perputaran aktiva tetap, rasio ekuitas, perputaran persediaan, rasio PNBP terhadap biaya operasional, rasio biaya subsidi pasien dan nilai kinerja keuangan menurut Per- 34 / PB / 2014 dari tahun 2013 sampai dengan tahun 2016. Hasil penelitian menunjukkan bahwa kinerja keuangan RSUD Idaman Banjarbaru memperoleh hasil yang fluktuatif meskipun cenderung hampir sama selama tahun 2013-2016, dan nilai kinerja keuangan memperoleh kriteria Baik (A) dengan nilai 73,68%. Kata Kunci : PPK-BLUD, Kinerja Keuangan, Rumah Sakit, Rasio Keuangan
Reliability assessment of telecommunications equipment

This thesis studies the reliability of telecommunications equipment, its components, and the systems made using those components. Special attention is paid to creating stronger links between the reliability analyses performed at different hierarchy levels. The thesis starts with a temperature derating study. It is found out that the generic handbook based procedures may not always be very attractive, as they do not take satisfactorily into account the actual lifetime requirements. An alternative approach is proposed as a remedy to the current situation. Thermal cycling requirement handbooks are surveyed, and based on the findings some enhancements are proposed. Next, a component and product specific approach to create thermal cycling requirements is suggested. When applying the new approach several factors can be taken into account: the product’s lifetime requirement, the field environment, the reliability test result, and the statistical distribution of the component population. A new method of how to predict the reliability of a component population that is addressed to several, different field environments is presented. Ceramic, leadless components are studied by testing and by utilizing Engelmaier’s analytical solder fatigue model and Finite Element (FE) simulations. A new approach to interpret the solder joint height in conjunction with solder castellations is introduced. Based on this, a very good correlation between the test results and the predictions based on Engelmaier’s model can be obtained. The parameter sensitivity of both the Engelmaier’s model and the FE analysis are studied and compared. Error margins based on the parameter sensitivity studies are given. Time-averaged hazard rate functions are studied in order to be able to use component level test data in simplistic parts-count method type reliability predictions. Finally, the availability of a full 3 generation telecommunications network is studied.
Entanglement sensitivity to signal attenuation and amplification

We analyze general laws of continuous-variable entanglement dynamics during the deterministic attenuation and amplification of the physical signal carrying the entanglement. These processes are inevitably accompanied by noises, so we find fundamental limitations on noise intensities that destroy entanglement of Gaussian and non-Gaussian input states. The phase-insensitive amplification Phi1(x)Phi2(x). (x)PhiN with the power gain ki>2 (approx 3 dB, i=1,.,N) is shown to destroy entanglement of any N-mode Gaussian state even in the case of quantum-limited performance. In contrast, we demonstrate non-Gaussian states with the energy of a few photons such that their entanglement survives within a wide range of noises beyond quantum-limited performance for any degree of attenuation or gain. We detect entanglement preservation properties of the channel Phi1(x)Phi2, where each mode is deterministically attenuated or amplified. Gaussian states of high energy are shown to be robust to very asymmetric attenuations, whereas non-Gaussian states are at an advantage in the case of symmetric attenuation and general amplification. If Phi1=Phi2, the total noise should not exceed 0.5(1+k2)1/2 to guarantee entanglement preservation.
Search for line-like signals in the all-sky Fermi-LAT data

In order to search for the line-like signals in the Fermi-LAT data, we have analyzed totally 49152 regions of interest (ROIs) that cover the whole sky. No ROI displays a line signal with test statistic (TS) value above 25, while for 50 ROIs weak line-like excesses with ${\rm TS}>16$ are presented. The intrinsic significances of these potential signals are further reduced by the large trial factor introduced in such kind of analysis. For the largest TS value of 24.3 derived in our analysis, the corresponding global significance is only $0.54\sigma$. We thus do not find any significant line-like signal and set up constraints on the cross section of dark matter annihilating to gamma-ray lines, $\left _{\gamma\gamma}$.
Local hyperspectral anomaly detection method based on low-rank and sparse matrix decomposition

Abstract. Anomaly detection (AD) is an important technique for hyperspectral image processing and analysis. Typically, it is accomplished by extracting knowledge from the background and distinguishing anomalies and background using the difference between them. However, it is almost impossible to obtain “pure” background to achieve an ideal detection because of anomaly contamination. The low-rank and sparse matrix decomposition (LRaSMD) technique has been proved to have the potential to solve the aforementioned problem. But the accuracy and time consumption need to be further improved. Thus we propose a local hyperspectral AD method based on LRaSMD with an optimization algorithm for better performance. The LRaSMD technique is first implemented with semisoft Go decomposition (GoDec) rather than GoDec to quickly and accurately set the background apart from the anomalies. Then the low-rank prior knowledge of the background is fully explored to compute the background statistics. After that, the local Mahalanobis distance of pixels is calculated with the sliding dual-window strategy to detect the probable anomalies. The proposed method is validated using four real hyperspectral data sets with ground-truth information. Our experimental results indicate that the proposed method achieves better detection performance as compared with the comparison algorithms.
Confidence intervals in high-dimensional regression based on regularized pseudoinverses

In modern data sets, the number of available variables can greatly exceed the number of observations. In this paper we show how valid confidence intervals can be constructed by approximating the inverse covariance matrix by a scaled Moore-Penrose pseudoinverse, and using the lasso to perform a bias correction. In addition, we propose random least squares, a new regularization technique which yields narrower confidence intervals with the same theoretical validity. Random least squares estimates the inverse covariance matrix using multiple low-dimensional random projections of the data. This is shown to be equivalent to a generalized form of ridge regularization. The methods are illustrated in Monte Carlo experiments and an empirical example using quarterly data from the FRED-QD database, where gross domestic product is explained by a large number of macroeconomic and financial indicators.
Putting a cap on causality violations in causal dynamical triangulations

The formalism of causal dynamical triangulations (CDT) provides us with a non-perturbatively defined model of quantum gravity, where the sum over histories includes only causal space-time histories. Path integrals of CDT and their continuum limits have been studied in two, three and four dimensions. Here we investigate a generalization of the two-dimensional CDT model, where the causality constraint is partially lifted by introducing branching points with a weight gs, and demonstrate that the system can be solved analytically in the genus-zero sector. The solution is analytic in a neighborhood around weight gs = 0 and cannot be analytically continued to gs = ∞, where the branching is entirely geometric and where one would formally recover standard Euclidean two-dimensional quantum gravity defined via dynamical triangulations or Liouville theory.
Learning to Perceive the World as Articulated: An Approach for Hierarchical Learning in Sensory-Motor Systems

This paper describes how the internal representation of the world can be self-organized in modular and hierarchical ways in a neural network architecture for sensory-motor systems. We develop an on-line learning scheme – the so-called mixture of recurrent neural net (RNN) experts – in which a set of RNN modules becomes self-organized as experts in multiple levels in order to account for the different categories of sensory-motor flow which the robot experiences. The proposed scheme was examined through simulation experiments involving the navigatiois learning problem, in which a robot equipped with range sensors traveled around rooms of different shape. It was shown that representative building blocks or “concepts” corresponding to turning right and left at corners, going straight along corridors and encountering junctions are self-organized in their respective modules in the lower level network. In the higher level network, the “concepts” corresponding to traveling in different rooms are self-organized by combining the “concepts” obtained in the lower level into sequences. The robot succeeded in learning to perceive the world as articulated at multiple levels through its recursive interactions.