Miracle-dz/UniFAR-FTUs huggingface dataset:
Legislature size and inequality: democratic participation and authoritarian dilution

ABSTRACT This paper argues that the ratio of legislature size to population is crucial for explaining income inequality. Larger legislatures (with respect to population size) promote equality in democratic regimes. The opposite effect is hypothesised for non-democracies, although the empirical results for this group are less significant. I suggest that larger legislatures decrease inequality in democracies by enhancing representative linkages and increasing political participation. On the contrary, they dilute the strength of opposition in authoritarian regimes, leading to inegalitarian outcomes. This study carries strong implications for the understanding of legislatures and the formation of inequality across political systems.
Use of Computer Input Devices by Older Adults

A sample of 85 seniors was given experience (10 trials) playing two computer tasks using four input devices (touch screen, enlarged mouse [EZ Ball], mouse, and touch pad). Performance measures assessed both accuracy and time to complete components of the game for these devices. As well, participants completed a survey where they evaluated each of the devices. Seniors also completed a series of measures assessing visual memory, visual perception, motor coordination, and motor dexterity. Overall, previous experience with computers had a significant impact on the type of device that yielded the highest accuracy and speed performance, with different devices yielding better performance for novices versus experienced computer users. Regression analyses indicated that the mouse was the most demanding device in terms of the cognitive and motor-demand measures. Discussion centers on the relative benefits and perceptions regarding these devices among senior populations.
Observations of the Structure and Dynamics of the Inner M87 Jet

M87 is the best source in which to study a jet at high resolution in gravitational units because it has a very high mass black hole and is nearby. The angular size of the black hole is second only to Sgr A*, which does not have a strong jet. The jet structure is edge brightened with a wide opening angle base and a weak counterjet. We have roughly annual observations for 17 years plus intensive monitoring at three week intervals for a year and five day intervals for 2.5 months made with the Very Long Baseline Array (VLBA) at 43 GHz. The inner jet shows very complex dynamics, with apparent motions both along and across the jet. Speeds from zero to over 2c are seen, with acceleration observed over the first 3 milli-arcseconds. The counterjet decreases in brightness much more rapidly than the main jet, as is expected from relativistic beaming in an accelerating jet oriented near the line-of-sight. Details of the structure and dynamics are discussed. The roughly annual observations show side-to-side motion of the whole jet with a characteristic time scale of about 9 years.
12D force and acceleration sensing: A helpful experience report on sensor characteristics

The potential of six-axis acceleration sensors in the field of robotic manipulation applications is quite high and most of it has not been used yet - neither in theoretic literature nor in research experiments. When considering six-joint industrial manipulators with six-axis force/torque and six-axis acceleration sensing, many new possibilities arise: all ten inertial parameters of any object can be identified and objects can be recognized based on these parameters, position control behavior can be improved; non-contact forces can be extracted and force control performance can be improved; visual-servoing methods can use acceleration signals to become more robust. The authors made numerous experiments in the mentioned fields and recognized major weaknesses during the realization of prototypic research setups with six-axis acceleration sensors. These problems regard sensor drift, undesired sensor-internal dependencies as the influence of any distal sensor part, noise, and undesired crosstalk behavior. In order to benefit from acceleration signals, it is important to clearly overcome these problems. This paper analyzes typical systematic errors, characterizes them, and suggests important solution methods for a successful usage of acceleration information.
Hermitian Positive Semidefinite Matrices Whose Entries Are 0 Or 1 in Modulus

We show that a matrix is a Hermitian positive semidefinite matrix whose nonzero entries have modulus 1 if and only if it is similar to a direct sum of all I's matrices and a 0 matrix via a unitary monomial similarity. In particular, the only such nonsingular matrix is the identity matrix and the only such irreducible matrix is similar to an all l's matrix by means of a unitary diagonal similarity. Our results extend earlier results of Jain and Snyder for the case in which the nonzero entries (actually) equal 1. Our methods of proof, which reiy on the so called principal submatrix rank property, differ from the approach used by Jain and Snyder.
A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems

We present an iterative linear-quadratic-Gaussian method for locally-optimal feedback control of nonlinear stochastic systems subject to control constraints. Previously, similar methods have been restricted to deterministic unconstrained problems with quadratic costs. The new method constructs an affine feedback control law, obtained by minimizing a novel quadratic approximation to the optimal cost-to-go function. Global convergence is guaranteed through a Levenberg-Marquardt method; convergence in the vicinity of a local minimum is quadratic. Performance is illustrated on a limited-torque inverted pendulum problem, as well as a complex biomechanical control problem involving a stochastic model of the human arm, with 10 state dimensions and 6 muscle actuators. A Matlab implementation of the new algorithm is availabe at www.cogsci. ucsd.edu//spl sim/todorov.
GBA mutations are associated with Rapid Eye Movement Sleep Behavior Disorder

Rapid eye movement sleep behavior disorder and GBA mutations are both associated with Parkinson's disease. The GBA gene was sequenced in idiopathic rapid eye movement sleep behavior disorder patients (n = 265), and compared to controls (n = 2240). Rapid eye movement sleep behavior disorder questionnaire was performed in an independent Parkinson's disease cohort (n = 120). GBA mutations carriers had an OR of 6.24 (10.2% in patients vs. 1.8% in controls, P < 0.0001) for rapid eye movement sleep behavior disorder, and among Parkinson's disease patients, the OR for mutation carriers to have probable rapid eye movement sleep behavior disorder was 3.13 (P = 0.039). These results demonstrate that rapid eye movement sleep behavior disorder is associated with GBA mutations, and that combining genetic and prodromal data may assist in identifying individuals susceptible to Parkinson's disease.
Cytokine Changes following Acute Ethanol Intoxication in Healthy Men: A Crossover Study

Alcohol is a known modulator of the innate immune system. Owing to the absence of human studies, alcohol's effect on circulating cytokine profile remains unclear. We investigated the effect of acute high dose alcohol consumption on systemic cytokine release. After an overnight fasting, alcohol-experienced healthy male volunteers (N = 20) aged 25–45 years were given oral ethanol in the form of vodka (4.28 mL/kg) which they drank over a period of 30 minutes reaching peak blood alcohol concentration of 0.12% (SD 0.028). Blood samples were obtained prior to alcohol intake as well as 2, 7, and 12 hours thereafter. Serum levels of the inflammatory cytokines IL-1β, IL-1Ra, IL-6, IL-10, IL-17, IFN-γ, MCP-1, and TNF-α were determined by the multibead-based assay. Baseline cytokine levels were not related to BMI, hepatic parameters, electrolytes, glucose, or morning cortisol levels. Within 2 hours of alcohol intake, levels of IL-1Ra were elevated and remained so throughout the assessment period (p for trend = 0.015). In contrast, the levels of the chemokine MCP-1 dropped acutely followed by steadily increasing levels during the observation period (p < 0.001). The impact of sustained elevated levels of MCP-1 even after the clearance of blood alcohol content deserves attention.
Unsupervised learning of clutter-resistant visual representations from natural videos

Populations of neurons in inferotemporal cortex (IT) maintain an explicit code for object identity that also tolerates transformations of object appearance e.g., position, scale, viewing angle (1, 2, 3). Though the learning rules are not known, recent results (4, 5, 6) suggest the operation of an unsupervised temporal-association-based method e.g., Foldiak's trace rule (7). Such methods exploit the temporal continuity of the visual world by assuming that visual experience over short timescales will tend to have invariant identity content. Thus, by associating representations of frames from nearby times, a representation that tolerates whatever transformations occurred in the video may be achieved. Many previous studies veried that such rules can work in simple situations without background clutter, but the presence of visual clutter has remained problematic for this approach. Here we show that temporal association based on large class-specic lters (templates) avoids the problem of clutter. Our system learns in an unsupervised way from natural videos gathered from the internet, and is able to perform a dicult unconstrained face recognition task on natural images (Labeled Faces in the Wild (8)).
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In contrast, animals can learn new tasks in just a few trials, benefiting from their prior knowledge about the world. This paper seeks to bridge this gap. Rather than designing a "fast" reinforcement learning algorithm, we propose to represent it as a recurrent neural network (RNN) and learn it from data. In our proposed method, RL$^2$, the algorithm is encoded in the weights of the RNN, which are learned slowly through a general-purpose ("slow") RL algorithm. The RNN receives all information a typical RL algorithm would receive, including observations, actions, rewards, and termination flags; and it retains its state across episodes in a given Markov Decision Process (MDP). The activations of the RNN store the state of the "fast" RL algorithm on the current (previously unseen) MDP. We evaluate RL$^2$ experimentally on both small-scale and large-scale problems. On the small-scale side, we train it to solve randomly generated multi-arm bandit problems and finite MDPs. After RL$^2$ is trained, its performance on new MDPs is close to human-designed algorithms with optimality guarantees. On the large-scale side, we test RL$^2$ on a vision-based navigation task and show that it scales up to high-dimensional problems.
From Salience to Saccades: Multiple-Alternative Gated Stochastic Accumulator Model of Visual Search

We describe a stochastic accumulator model demonstrating that visual search performance can be understood as a gated feedforward cascade from a salience map to multiple competing accumulators. The model quantitatively accounts for behavior and predicts neural dynamics of macaque monkeys performing visual search for a target stimulus among different numbers of distractors. The salience accumulated in the model is equated with the spike trains recorded from visually responsive neurons in the frontal eye field. Accumulated variability in the firing rates of these neurons explains choice probabilities and the distributions of correct and error response times with search arrays of different set sizes if the accumulators are mutually inhibitory. The dynamics of the stochastic accumulators quantitatively predict the activity of presaccadic movement neurons that initiate eye movements if gating inhibition prevents accumulation before the representation of stimulus salience emerges. Adjustments in the level of gating inhibition can control trade-offs in speed and accuracy that optimize visual search performance.
Similarities and differences between asthma and chronic obstructive pulmonary disease: treatment and early outcomes

There are now many guidelines that provide direction for the diagnosis and management of asthma and chronic obstructive pulmonary disease (COPD). However, both diseases are still underdiagnosed (or misdiagnosed) and undertreated. There is considerable evidence that treatment with anti-inflammatory drugs reduces morbidity and mortality in asthma. The evidence is growing regarding their effect on slowing the remodelling that occurs in subsets of asthmatics. COPD is more challenging. There are no disease-modifying drugs available yet that will change the natural history of COPD. However, there is overwhelming evidence that smoking cessation will slow the progression of disease. Until better drugs are available for the treatment of COPD, emphasis must be placed on primary and secondary prevention by reducing exposure to noxious agents (cigarette smoke in particular). Inhaled corticosteroids appear to have a place in the management of severe chronic obstructive pulmonary disease, perhaps by decreasing the frequency of exacerbations.
Does a Monetary Union Protect again Foreign Shocks? An Assessment of Latin American Integration using a Bayesian VAR

This paper analyses the monetary consequences of the Latin-American trade integration process. We consider a sample of five countries –Argentina, Brazil, Chile, Mexico and Uruguay- spanning the period 1991-2007. The main question raised pertains to the feasibility of a monetary union between L.A. economies. To this end, we study whether this set of countries is characterized by business cycle synchronization with the occurrence of common shocks, a strong similarity in the adjustment process and the convergence of policy responses. We focus especially our attention on two points. First, we try to determine to what extent international disturbances influence the domestic business cycles through trade and/or financial channels. Second, we analyze the impact of the adoption of different exchange rate regimes on the countries' responses to shocks. All these features are the main issues in the literature relative to regional integration and OCA process.
Gettier Cases: A Taxonomy

The term "Gettier Case" is a technical term frequently applied to a wide array of thought experiments in contemporary epistemology. What do these cases have in common? It is said that they all involve a justified true belief which, intuitively, is not knowledge, due to a form of luck called "Gettiering. " While this very broad characterization suffices for some purposes, it masks radical diversity. We argue that the extent of this diversity merits abandoning the notion of a "Gettier case" in a favour of more finely grained terminology. We propose such terminology, and use it to effectively sort the myriad Gettier cases from the theoretical literature in a way that charts deep fault lines in ordinary judgments about knowledge.
Development and evaluation of a baseline-event-anticipation score for hepatitis delta

Hepatitis delta is considered the most severe form of viral hepatitis, but variables associated with disease progression are poorly defined. This study aimed to identify risk factors associated with worse clinical outcome in patients with hepatitis delta and to develop a clinical score to determine their risk of experiencing liver‐related morbidity or mortality. We followed 75 HBsAg–anti‐HDV‐positive patients with hepatitis delta for up to 16 years (median 5 years). The baseline‐event‐anticipation score (BEA score) was developed based on variables associated with the development of liver‐related clinical complications. Age, region of origin, presence of cirrhosis, albumin, INR, hyperbilirubinemia and thrombocytopenia were all associated with the development of an event in the training cohort. The BEA score included age, sex, region of origin, bilirubin, platelets and INR. Points were allocated according to hazard ratios, and three risk groups were defined: BEA‐A mild risk, BEA‐B moderate risk and BEA‐C high risk. Hazard ratios of BEA‐B and BEA‐C patients for liver‐related clinical endpoints were 9.01 and 25.27 vs BEA‐A with an area under curve of the receiving operating characteristic curve of 0.88. The accuracy of the BEA score was confirmed in two independent validation cohorts followed in Barcelona (n = 77) and Düsseldorf (n = 62). Delta hepatitis is associated with a very severe long‐term outcome. The BEA score is easy to apply and predicts with a very high accuracy the development of liver‐related complications in patients with hepatitis delta.
Colic anastomotic leakage risk factors

Abstract Background: Anastomotic leakage is a dreaded complication of colorectal surgery, as it greatly increases the morbidity, mortality and has been associated with augmented local recurrence and diminished survival. The frequency of this complication is high in emergency colorectal surgery, especially for bowel occlusion, (13% for emergency vs. 4% in elective), due to visceral distension and, therefore, an incongruence in the size of each of the stumps, combined with the lack of mechanical preparation and risk of fecal contamination during operation. Methods: We studied the incidence of anastomotic fistula in the surgery clinic of the “Sf. Pantelimon” Emergency Hospital, between 2006 and 2010, on a lot of 251 patients who underwent different types of colic resection. Apart from the anatomic location of the disease, and the level of anastomosis, we included in our database the following criteria: the patient’s age and gender, type of colic pathology, surgical technique, emergency or elective surgery, comorbidities. Results: An ileocolic anastomosis was performed for 84 patients (33,46 %), for 114 patients (45,41%) a colo-colic anastomosis was carried out, 2 patients (0,79%) had ileorectal anastomosis and 51 patients (20,31%) underwent a colorectal anastomosis. From the comparative analysis of risk factors (the emergency interventions, the anastomosis location, the age and gender of the patient), a significantly increased value of the relative risk of anastomotic fistula was registered for the cases with emergency intervention (x 6,61) and for the colorectal anastomosis following the left hemi colectomies (x 2,23). Discussions: In our study, among the clinical and biological factors analyzed, emergency intervention was the most signiﬁcant factor associated with anastomotic leakage. Surgery performed in emergency settings, on debilitated patients without adequate preoperative preparation, has an increased risk for anastomotic dehiscence.
Existence of periodic solutions for neutral nonlinear differential equations with variable delay.

We use a variation of Krasnoselskii fixed point theorem introduced by Burton to show that the nonlinear neutral differential equation x′(t) = −a(t)x(t) + c(t)x′(t− g(t)) + G(t, x(t− g(t)) has a periodic solution. Since this equation is nonlinear, the variation of parameters can not be applied directly; we add and subtract a linear term to transform the differential into an equivalent integral equation suitable for applying a fixed point theorem. Our result is illustrated with an example.
Strategies for Increasing Response Rates for Online End-of-Course Evaluations.

Student Evaluations of Teaching (SETs) are used by nearly all public and private universities as one means to evaluate teaching effectiveness. A majority of these universities have transitioned from the traditional paper-based evaluations to online evaluations, resulting in a decline in overall response rates. This has led to scepticism about the validity and reliability of the SETs. In this study, a large, US public university transitioned to online SETs in 2007 and suffered a decline in overall response rates from 73% for the paper-based evaluations in 2006 to a low of 43%. The aim of this study was to determine successful strategies used by instructors to improve their own SET response rates. A survey was conducted of faculty members who had high response rates, and the data were analyzed to determine which strategies were being employed. The study found that when instructors show students they care about evaluations, response rates tend to be higher. The results from the study have been turned into a FAQ on myths and suggestions that has been distributed to the faculty at the university to provide guidelines for increasing response rates on SETs.
Speech-to-Singing Synthesis System : Vocal Conversion from Speaking Voices to Singing Voices by Controlling Acoustic Features Unique to Singing Voices *

Introduction: This paper introduces a speech-to-singing synthesis system, called SingBySpeaking, which can synthesize a singing voice, given a speaking voice reading the lyrics of a song and its musical score. The system is based on the speech manipulation system STRAIGHT and is comprised of four models controlling three acoustic parameters: the fundamental frequency (F0), phoneme duration, and spectrum. Given the musical score and its tempo, the F0 control model generates the F0 contour of the singing voice by controlling four types of F0 fluctuations: overshoot, vibrato, preparation, and fine fluctuation. The duration control model lengthens the duration of phoneme in the speaking voice by taking into consideration the duration of its musical note. The spectral-control model converts the spectral envelope of the speaking voice into that of the singing voice by controlling both the singing formant and the amplitude modulation of formants in synchronization with vibrato. SingBySpeaking enables us to synthesize natural singing voices merely by reading the lyrics of a song and to better understand differences between speaking and singing voices. Key word: singing voice synthesis; STRAIGHT; vocal conversion; singing voice perception
Analysis of the domain of applicability of an algorithm for a resources system selection problem for Distributed/Agile/Virtual Enterprises integration

The process of resources systems selection takes an important part in Distributed/Agile/Virtual Enterprises (D/A/V Es) integration. However, the resources systems selection is still a difficult matter to solve in a D/A/VE, as it is pointed out in this paper. Globally, we can say that the selection problem has been equated from different aspects, originating different kinds of models/algorithms to solve it. In order to assist the development of a web prototype tool (broker tool), intelligent and flexible, that integrates all the selection model activities and tools, and with the capacity to adequate to each D/A/V E project or instance (this is the major goal of our final project), we intend in this paper to show: a formulation of a kind of resources selection problem and the limitations of the algorithms proposed to solve it. We formulate a particular case of the problem as an integer programming, which is solved using simplex and branch and bound algorithms, and identify their performance limitations (in terms of processing time) based on simulation results. These limitations depend on the number of processing tasks and on the number of pre-selected resources per processing tasks, defining the domain of applicability of the algorithms for the problem studied. The limitations detected open the necessity of the application of other kind of algorithms (approximate solution algorithms) outside the domain of applicability founded for the algorithms simulated. However, for a broker tool it is very important the knowledge of algorithms limitations, in order to, based on problem features, develop and select the most suitable algorithm that guarantees a good performance.