Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction

Predicting which patients are more likely to be readmitted to a hospital within 30 days after discharge is a valuable piece of information in clinical decision-making. Building a successful readmission risk classifier based on the content of Electronic Health Records (EHRs) has proved, however, to be a challenging task. Previously explored features include mainly structured information, such as sociodemographic data, comorbidity codes and physiological variables. In this paper we assess incorporating additional clinically interpretable NLP-based features such as topic extraction and clinical sentiment analysis to predict early readmission risk in psychiatry patients.
Narrow-band Hα imaging of nearby Wolf–Rayet galaxies

We present narrow-band Hα imaging of nearby Wolf–Rayet (WR) galaxies known as a subset of starburst galaxies. The Hα images have been used to show morphology of star-forming regions in galaxies, which leads to speculate that the studied galaxies have most likely experienced merger or interaction with low luminous dwarf galaxies or H i clouds. We further derive the Hα-based star formation rates (SFRs) in galaxies using our Hα observations. These SFRs are well correlated with SFRs derived using other indicators at far-ultraviolet, far-infrared, and 1.4-GHz radio wavebands. It is noticed that the infrared excess (IRX) method gives the best SFR estimates, consistent with different models predication. These models also predict that the sample galaxies have probably gone through a continuous star formation at least for 1 Gyr over which the recent (<10 Myr) star formation has taken place in WR phase. This study presents main-sequence (MS) relation for nearby WR galaxies for the first time. This derived MS relation is found to be similar to previously known MS relation for normal nearby star-forming galaxies, suggesting that WR systems evolve in a similar fashion as normal star-forming galaxies evolve.
Persuasion Process : A critical literature review of prior research

In this paper, some of the limitations of prior research in terms of online persuasion process are highlighted. To do this, two main approaches which have been considered to study online persuasion process in context of social media are identified. Then, this study discusses the limitations and gaps of each approach. This paper is a part of author’s PhD dissertation which is being conducted to examine how different online behaviours are persuaded in online brand communities. The research adopts Elaboration Likelihood Model (ELM) of persuasion to reveal how different types of behaviour are persuaded through different routes. The study aims to develop the model of persuasion based on ELM and social influence theory in context of social media. The thesis explores the different factors related to routes of persuasion process and then tests them in OBC (Online Brand Community).
PR ] 6 F eb 2 01 4 Asymptotics of weighted random sums

In this paper we study the asymptotic behaviour of weighted random sums when the sum process converges stably in law to a Brownian motion and the weight process has continuous trajectories, more regular than that of a Brownian motion. We show that these sums converge in law to the integral of the weight process with respect to the Brownian motion when the distance between observations goes to zero. The result is obtained with the help of fractional calculus showing the power of this technique. This study, though interesting by itself, is motivated by an error found in the proof of Theorem 4 in [2].
Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees

The problem of learning an optimal convex combination of basis models has been studied in a number of works, with a focus on the theoretical analysis, but little investigation on the empirical performance of the approach. In this paper, we present some new theoretical insights, and empirical results that demonstrate the effectiveness of the approach. Theoretically, we first consider whether we can replace convex combinations by linear combinations, and obtain convergence results similar to existing results for learning from a convex hull. We present a negative result showing that the linear hull of very simple basis functions can have unbounded capacity, and is thus prone to overfitting. On the other hand, convex hulls are still rich but have bounded capacities. In addition, we obtain a generalization bound for a general class of Lipschitz loss functions. Empirically, we first discuss how a convex combination can be greedily learned with early stopping, and how a convex combination can be non-greedily learned when the number of basis models is known a priori. Our experiments suggest that the greedy scheme is competitive with or better than several baselines, including boosting and random forests. The greedy algorithm requires little effort in hyper-parameter tuning, and also seems to adapt to the underlying complexity of the problem.
Stack Sorting with Increasing and Decreasing Stacks

We introduce a sorting machine consisting of $k+1$ stacks in series: the first $k$ stacks can only contain elements in decreasing order from top to bottom, while the last one has the opposite restriction. This device generalizes the $\mathfrak{DI}$ machine introduced by Rebecca Smith, which studies the case $k=1$. Here we show that, for $k=2$, the set of sortable permutations is a class with infinite basis, by explicitly finding an antichain of minimal nonsortable permutations. This construction can easily be adapted to each $k\geqslant 3$. Next we describe an optimal sorting algorithm, again for the case $k=2$. We then analyze two types of left-greedy sorting procedures, obtaining complete results in one case and only some partial results in the other one. We close the paper by discussing a few open questions.
Adebiyi, A.O. and Olukosi, O.A. (2015) Metabolizable energy content of wheat distillers' dried grains with solubles supplemented with or without a mixture of carbohydrases and protease for broilers

18 Two experiments were conducted to determine the apparent metabolizable energy (AME) and 19 nitrogen-corrected AME (AMEn) of wheat distillers’ dried grains with solubles (wheat-DDGS) 20 without or with supplementation of an enzyme mixture containing xylanase, amylase and 21 protease (XAP) in broilers and turkeys. One hundred twenty-six male Ross 308 broilers 22 (Experiment 1) or 126 male BUT 10 turkeys (Experiment 2) were offered a nutrient-adequate 23 diet from d 1 to 14. On d 14, birds in each experiment were allocated to six treatments consisting 24 of three levels of wheat-DDGS (0, 300, or 600 g/kg) and two levels of XAP (0 or 250 mg/kg of 25 diet) in a randomized complete block design. The AME or AMEn content of wheat-DDGS was 26 determined from the slope of regression of wheat-DDGS-associated energy intake (kcal) against 27 wheat-DDGS intake (kg). In experiment 1, wheat-DDGS inclusion in the diets linearly decreased 28 (P < 0.05) DM retention, AME and AMEn, irrespective of XAP supplementation. The AME of 29 wheat-DDGS without or with XAP for broilers was 3,587 or 3,700 kcal/kg DM, respectively and 30 AMEn was 3,356 and 3,459 kcal/kg DM for wheat-DDGS without and with XAP, respectively. 31 In experiment 2, wheat-DDGS inclusion in the diet linearly decreased (P < 0.05) DM retention 32 irrespective of XAP supplementation. Diet AME and AMEn linearly decreased (P < 0.05) as the 33 level of wheat-DDGS increased in the diets without added XAP, whereas there was no effect of 34 increasing wheat-DDGS level on dietary AME or AMEn in the XAP-supplemented diets. The 35 AME of wheat-DDGS without and with supplemental XAP for turkeys were 3,355 and 3,558 36 kcal/kg DM, respectively and AMEn was 3,109 and 3,294 kcal/kg DM, respectively, for wheat37 DDGS without and with XAP. Supplemental XAP increased (P > 0.05) the AME and AMEn of 38 wheat-DDGS for broilers and turkeys by up to 6%. It was concluded that wheat-DDGS is a 39 valuable source of AME for broilers and turkeys. 40
Preventing Terrorism and International Conflict : Effects of Large Assemblies of Participants in the Transcendental Meditation and TM-Sidhi Programs

This study tested the hypothesis that group practice of the Transcendental Meditation (TM) and TM-Sidhi programs by approximately the square root of 1% of the world’s population globally reduces terrorism and international conflict. For 3 periods during 1983-1985, ranging from 8 to 11 days, practitioners of these programs assembled in one place to practice in a group. Data on the numbers of casualties and fatalities due to terrorism were obtained from the Rand Corporation and grouped as five-day aggregates, forming a single time series spanning the 3 assemblies. Data on international conflict were generated from date-blind ratings of news events in the New York Times and London Times to give comparable blocks for time series analysis before, during, and after each of the assemblies. Time series intervention analyses used the Akaike information criterion to objectively define optimal noise models. The analyses found a 72% drop in terrorism (p < .025) and an average drop of 32% in international conflict (p values from < .005 to < .025) during the assemblies. These results are consistent with simiTranscendental Meditation in Criminal Rehabilitation and Crime Prevention. Pp. 283-302.  2003 by The Haworth Press, Inc. All rights reserved. lar effects of smaller such assemblies on local populations and suggest that long-term implementation of groups could have a major impact on terrorism and international conflict worldwide. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: Website: © 2003 by The Haworth Press, Inc. All rights reserved. ]
Effects of i nformal c ompetition on i nnovation p erformance : t he c ase of P acific A lliance

This study evaluates the impact of informal competition on the innovation performance of formal fi rms in emerging ec onomies. A theoretical model under the strategy tripod framework is proposed. It analyzes the effects of Institutional factors as the quality of governance and market labor rigidities on innovation performance, and the mediating effect of informal competition. It is used the Causal Mediation Analysis with data from 3,268 companies from the World Bank Enterprise Survey from countries of the Pacific Alliance (Chile, Colombia, Mexico, and Peru). The results state that informal competition has a negative effect on the innovation performance of formal companies. Based on these findings, It is suggested some promising avenues for future research and managerial implications.
The Jordan algebras of Riemann, Weyl
and curvature compatible tensors

Given the Riemann, or the Weyl, or a generalized curvature tensor K, a symmetric tensor $b_{ij}$ is named `compatible' with the curvature tensor if $b_i{}^m K_{jklm} + b_j{}^m K_{kilm} + b_k{}^m K_{ijlm} = 0$. Amongst showing known and new properties, we prove that they form a special Jordan algebra, i.e. the symmetrized product of K-compatible tensors is K-compatible.
Researching Smart Grid through design : How social interaction affects electricity consumption Line

Smart Grid is currently in the making. While there is a tendency mainly to look at the technical aspects of the implementation, we wish to take a critical look at the current implementation issues from the users point of view. Previous empirical studies indicate that social interaction and visualisation of real time energy consumption patterns can trigger a more ecologically responsible behavior. This paper focuses on exploring this assertion through a qualitative study of a design called the “The Social Electricity Meter” by revealing an indication of motivational factors to change ones electricity use based on social stimuli. By reflecting theoretically on how this kind of empirical data is essential when designing future Smart Grid experiences, we also evaluate the capability of the approach Research Through Design to gather insights about future social practice.
Supplementary Materials : Structure and Optical Properties of K 0 . 67 Rb 1 . 33 Al 2 B 2 O 7 Crystal

A UV nonlinear optical (NLO) crystal K0.67Rb1. 33Al2B2O7 (KRABO) has been obtained by the top-seeded solution growth method for the first time. Its structure is formed of coplanar [BO3] triangle groups and [Al2O7] groups, which are built from two [AlO4] tetrahedra sharing one vertex. Rb and K atoms have the same coordinates and locate between each layer in a disorderly fashion. The crystal has a larger NLO effect compared with its analog K2Al2B2O7 (KABO), as evidenced by powder second harmonic generation (SHG) test. The shortest SHG phase-matching wavelength is down to 231 nm according to the first-principle calculation, which indicates that KRABO is possible for the fourth harmonic generation of Nd:YAG at 266 nm.
FAWN: a fast array of wimpy nodes

This paper presents a new cluster architecture for low-power data-intensive computing. FAWN couples low-power embedded CPUs to small amounts of local flash storage, and balances computation and I/O capabilities to enable efficient, massively parallel access to data. The key contributions of this paper are the principles of the FAWN architecture and the design and implementation of FAWN-KV--a consistent, replicated, highly available, and high-performance key-value storage system built on a FAWN prototype. Our design centers around purely log-structured datastores that provide the basis for high performance on flash storage, as well as for replication and consistency obtained using chain replication on a consistent hashing ring. Our evaluation demonstrates that FAWN clusters can handle roughly 350 key-value queries per Joule of energy--two orders of magnitude more than a disk-based system.
Quantum Communications with Hyper-entangled states between indipendent terminals

Since its birth, at the beginning of the XX century, a lot of scientists struggled to understand and interpret some difficult theoretical aspects related with Quantum Mechanics. Most problems were related with entanglement, which is a correlation property of some many particles systems that has no classical analogue. The basic idea of entanglement is that if we have some particles that have been interacting before, a measure performed on a part of the system will influence istantaneously the results of a measure on the remaining part, no matter what is the distance between the particles of such a system. This fact implies that quantum systems have non-local features. From a mathematical point of view we will say that an entangled system’s state is non-separable, which means that this state cannot be written as a product of single particle’s states. Furthermore, during the ’80 some scientists understood that quantum mechanics could be exploited in the field of communications and computer science, overcoming classical results. It was the start of Quantum Information. My work, in particular, deal with Quantum Communications, which exploit the physical properties of some quantum systems to achieve communications protocols able to overcome classical communications’ methods. There are many interesting protocols such as Quantum Key Distribution (QKD), Quantum Teleportation and Dense Coding, provide a great number of advantages in comparison with classical communication systems. Discussing about communications, it is important to exchange information along great distances. This is possible thanks to free-space quantum communications. Many experiment have been performed in the latest years in free-space. The experiments with the largest terrestrial distance were performed at the Canaries Islands along 144 km, between Tenerife and La Palma, [13],[12]. The goal of my work is to perform quantum communications based on hyper-entagled photons, that are photons entangled, at the same time, in different degrees of freedom. The great advantage of hyper-entangled is that it allows to encode a greater amount of information, in the form of quantum bits in different degrees of freedom. Thus, given a fixed number of photons, an hyper-entangled state will allow to send more qubits than a single DOF entangled state. In this project I create photons entangled both in polarization and time-bin. Beside polarization, which is probably the most common way to encode quantum information, the time-bin is important as time-bin states can be easily preserved along great distances throught the atmosphere and free-space in general. Here a brief summary is reported. In the first chapter I will describe some basic concepts related with Quantum Information, with
Title Applicability of source scaling relations for crustal earthquakes to estimation of the ground motions of the 2016

A two-stage scaling relationship of the source parameters for crustal earthquakes in Japan has previously been constructed, in which source parameters obtained from the results of waveform inversion of strong motion data are combined with parameters estimated based on geological and geomorphological surveys. A three-stage scaling relationship was subsequently developed to extend scaling to crustal earthquakes with magnitudes greater than Mw 7.4. The effectiveness of these scaling relationships was then examined based on the results of waveform inversion of 18 recent crustal earthquakes (Mw 5.4–6.9) that occurred in Japan since the 1995 Hyogo-ken Nanbu earthquake. The 2016 Kumamoto earthquake, with Mw 7.0, was one of the largest earthquakes to occur since dense and accurate strong motion observation networks, such as K-NET and KiK-net, were deployed after the 1995 Hyogo-ken Nanbu earthquake. We examined the applicability of the scaling relationships of the source parameters of crustal earthquakes in Japan to the 2016 Kumamoto earthquake. The rupture area and asperity area were determined based on slip distributions obtained from waveform inversion of the 2016 Kumamoto earthquake observations. We found that the relationship between the rupture area and the seismic moment for the 2016 Kumamoto earthquake follows the second-stage scaling within one standard deviation (σ = 0.14). The ratio of the asperity area to the rupture area for the 2016 Kumamoto earthquake is nearly the same as ratios previously obtained for crustal earthquakes. Furthermore, we simulated the ground motions of this earthquake using a characterized source model consisting of strong motion generation areas (SMGAs) based on the empirical Green’s function (EGF) method. The locations and areas of the SMGAs were determined through comparison between the synthetic ground motions and observed motions. The sizes of the SMGAs were nearly coincident with the asperities with large slip. The synthetic ground motions obtained using the EGF method agree well with the observed motions in terms of acceleration, velocity, and displacement within the frequency range of 0.3–10 Hz. These findings indicate that the 2016 Kumamoto earthquake is a standard event that follows the scaling relationship of crustal earthquakes in Japan.
Challenge : A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modality to screen for retinal disorders. However, its application to glaucoma has been limited to the computation of a few related biomarkers such as the vertical cup-to-disc ratio. Deep learning approaches, although widely applied for medical image analysis, have not been extensively used for glaucoma assessment due to the limited size of the available data sets. Furthermore, the lack of a standardize benchmark strategy makes difficult to compare existing methods in a uniform way. In order to overcome these issues we set up the Retinal Fundus Glaucoma Challenge, REFUGE (https://refuge.grand-challenge.org), held in conjunction with MICCAI 2018. The challenge consisted ∗Corresponding authors: Yanwu Xu (ywxu@ieee.org) and Xiulan Zhang (zhangxl2@mail.sysu.edu.cn.). Preprint submitted to Medical Image Analysis October 10, 2019 ar X iv :1 91 0. 03 66 7v 1 [ cs . C V ] 8 O ct 2 01 9 of two primary tasks, namely optic disc/cup segmentation and glaucoma classification. As part of REFUGE, we have publicly released a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one. We have also built an evaluation framework to ease and ensure fairness in the comparison of different models, encouraging the development of novel techniques in the field. 12 teams qualified and participated in the online challenge. This paper summarizes their methods and analyzes their corresponding results. In particular, we observed that two of the top-ranked teams outperformed two human experts in the glaucoma classification task. Furthermore, the segmentation results were in general consistent with the ground truth annotations, with complementary outcomes that can be further exploited by ensembling the results.
Ultracold atoms in disordered potentials: elastic scattering time in the strong scattering regime

We study the elastic scattering time τ s of ultracold atoms propagating in optical disordered potentials in the strong scattering regime, going beyond the recent work of Richard et al (2019 Phys. Rev. Lett. 122 100403). There, we identified the crossover between the weak and the strong scattering regimes by comparing direct measurements and numerical simulations to the first order Born approximation. Here we focus specifically on the strong scattering regime, where the first order Born approximation is not valid anymore and the scattering time is strongly influenced by the nature of the disorder. To interpret our observations, we connect the scattering time τ s to the profiles of the spectral functions that we estimate using higher order Born perturbation theory or self-consistent Born approximation. The comparison reveals that self-consistent methods are well suited to describe τ s for Gaussian-distributed disorder, but fails for laser speckle disorder. For the latter, we show that the peculiar profiles of the spectral functions, as measured independently in Volchkov et al (2018 Phys. Rev. Lett. 120 060404), must be taken into account. Altogether our study characterizes the validity range of usual theoretical methods to predict the elastic scattering time of matter waves, which is essential for future close comparison between theory and experiments, for instance regarding the ongoing studies on Anderson localization.