Miracle-dz/UniFAR-FTUs huggingface dataset:
Convergence in experimental double auctions for stochastically live assets

We report market experiments in which subjects trade stochastically lived assets that pay a dividend each period and live from period to period with a known probability (.85). Since the probability is like a discount rate, the experiments test whether prices converge to discounted dividend value. We find that prices converge slowly to the discounted dividend value, from below; experienced subjects traded at prices close to the discounted dividend value. The forces creating convergence in this setting appear to be fundamentally different than in most other settings: minimal rationality in information-rich auctions is insufficient to produce convergence. Instead, convergence seems to be caused by one speculator buying much of the supply and holding it for several periods, which causes prices to rise. When prices overshot the discounted dividend value, they were slow to converge downward. Trading volume and allocative efficiency were often low during convergence (due to the speculator's behavior).
Understanding Multilingual Social Networks in Online Immigrant Communities

There are more multilingual speakers in the world than monolingual ones. Immigration is one of the key factors to bring speakers of different languages in contact with each other. In order to develop relevant policies and recommendations tailored according to the needs of immigrant communities, it is essential to understand the interactions between the users within and across sub-communities. Using a novel method (tensor analysis), we reveal the social network structure of an online multilingual discussion forum which hosts an immigrant community in the Netherlands. In addition to the network structure, we automatically discover and categorize monolingual and bilingual sub-communities and track their formation, evolution and dissolution over a long period of time.
Interval Raus criterion for stability analysis of linear systems with dependent coefficients in the characteristic polynomial

This paper addresses the stability analysis of linear continuous systems under interval uncertainties. An interval generalization of the known Raus criterion is suggested to estimate the stability of the system considered. It is based on obtaining the interval extensions of the elements of the Raus matrix which are nonlinear functions of independent system parameters. The case when these elements are independent intervals is considered. The interval extensions are also determined by using modified affine arithmetic. Two sufficient conditions on stability and instability of the linear system considered are obtained. A numerical example illustrating the applicability of the method suggested is solved at the end of the paper.
How stochastic synchrony could work in cerebellar Purkinje cells

Simple spike synchrony between Purkinje cells projecting to a common neuron in the deep cerebellar nucleus is emerging as an important factor in the encoding of output information from cerebellar cortex. Stochastic synchronization is a viable mechanism through which this synchrony could be generated, but it has received scarce attention, perhaps because the presence of feedforward inhibition in the input to Purkinje cells makes insights difficult. This paper presents a method to account for feedforward inhibition so the usual mathematical approaches to stochastic synchronization can be applied. Three concepts (input correlation, heterogeneity, and PRC shape) are then introduced to facilitate an intuitive understanding of how different factors can affect synchronization in Purkinje cells. This is followed by a discussion of how stochastic synchrony could play a role in the cerebellar response under different assumptions.
Poor Outcomes in Head and Neck Non-Melanoma Cutaneous Carcinomas §

Objectives: Head and neck nonmelanoma cutaneous carcinomas (NMCC) may have poor outcomes, such as metastasis and recurrence. It remains unclear which patients are at increased risk for poor outcomes. We characterize a population of NMCC seen in a head and neck surgical practice. We sought to identify predictors of poor outcome in head and neck NMCC. Study Design: A retrospective cohort study of 161 patients with head and neck NMCC who presented to a university based otolaryngology-head and neck surgery practice over a 13 year period was performed. The study group included 127 men and 34 women, age range: 33 - 92 years. Subjects and Methods: Tumor characteristics of the study population were recorded, and statistical analysis and Kaplan- Meier survival calculations were performed to determine predictors of poor outcomes. Results: 113 squamous cell carcinomas (SCC) and 48 basal cell carcinomas (BCC) were identified. Among SCC patients, there was a 44% incidence of metastasis and a 47% incidence of recurrence. Among BCC patients, there was a 10% incidence of metastasis and a 50% incidence of recurrence. Twenty percent of SCC patients had a history of immunosuppression. Among SCC patients with immunosuppression, 83% had metastasis or recurrence. Survival for SCC patients with metastatic disease was significantly worse than patients without metastases. The presence of parotid metastases in SCC conferred a survival advantage when compared to other sites of metastases. Conclusion: The incidence of poor outcomes in NMCC was higher in our series than reported in the literature. Survival patterns of our study parallel those of similar studies in the literature.
Hybrid Emotionally Aware Mediated Agent Architecture for Human-Assistive Technologies

Emotionally aware agents used to support human-computer interactions form the basis for our hybrid mediated agent architecture. This paper expands on our framework for an emotionally aware interface architecture that couples with the human user where data is mediated between agent processes for adaptive controlled assistive technologies. We present a hybrid emotionally aware mediated agent architecture that couples human and artificial operators. Agent behaviors in the context of emotion are derived from interactions from human users and interactions with its environment. 1
Development of EST-SSR markers of Ipomoea nil

Although Japanese morning glory (Ipomoea nil (L.) Roth. ) has been used intensively for genetic studies, DNA markers have not been developed in Ipomoea nil sufficient to cover all chromosomes. Therefore, we conducted microsatellite (simple sequence repeats, SSR) marker development in I. nil for future genetic studies. From 92,662 expressed sequence tag (EST) sequences, 514 unique microsatellite-containing ESTs were identified. Primer pairs were designed automatically in 326 SSRs. Of 150 SSRs examined, 75 showed polymorphisms among strains. A phenogram based on the SSR genotypes revealed the genetic relation among seven Japanese morning glories from five different regions of the world and an ivyleaf morning glory (I. hederacea Jacq.). The developed SSR markers might be applicable for genetic studies of morning glories and their relatives.
Efficacy and Safety of Atorvastatin in South Asian Patients with Dyslipidemia: An Open Label Noncomparative Pilot Study

Background Rates of coronary heart disease (CHD) mortality are 40% higher amongst South Asian men and women living in the UK compared with the general UK population. Despite an established excess CHD risk, little is known of the efficacy and safety of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins) amongst South Asian migrants. Methods and results Hyperlipidemic South Asian patients (raised or uncontrolled low-density lipoprotein cholesterol [LDL-C]) were recruited from two UK centers (n = 33). After a five-week period, which included dietary advice, patients received atorvastatin 10 mg/d for five weeks to achieve a target LDL-C goal of <3.0 mmol/L, titrated to 20 mg, 40 mg, or 80 mg for a further 12 weeks as required. Significant reductions in LDL-C levels from baseline were observed after 4 weeks' and 17 weeks' treatment with atorvastatin (≥33.6%; 26.0, 41.2). Overall, 81% (95% confidence interval [CI]: 62.5, 92.6%) achieved the target LDL-C after 4 weeks' treatment with 10 mg atorvastatin. Titration to a dose of more than 20 mg was required in only one patient (40 mg) at any point during the study. Nineteen patients reported at least one adverse event during the study; the majority were mild in severity and considered unrelated to atorvastatin. Conclusions Atorvastatin was effective in achieving target lipid levels and was well tolerated. Statin therapy for high-risk South Asian individuals is likely to benefit CHD outcomes, although further and larger prospective trials are required.
Teaching planning beyond the national context : pedagogic analyses of international fieldtrip experiences

Urban and regional planners, in the era of globalization, require being equipped with skill sets to better deal with complex and rapidly changing economic, socio-cultural, political and environmental fabrics of cities and their regions. In order to provide such skill sets, urban and regional planning curriculum of Queensland University of Technology (Brisbane, Australia) offers regional planning practice in the international context. This paper reports the findings of the pedagogic analyses from the regional planning practice fieldtrips to Malaysia, Korea, Turkey, Taiwan, and discusses the opportunities and constraints of exposure of students to regional planning practice beyond the national context.
Balance of Multiuser Diversity and Multiplexing Gain in Near-Orthogonal MIMO Systems with Limited Feedback

Near-orthogonal transmission over MIMO broadcast channels with limited feedback is addressed, identifying the intrinsic tradeoffs that govern the system performance in terms of sum rate. A low-complexity scheme is proposed for joint scheduling and beamforming, which employs feedback in the form of quantized channel directions and lower bounds on each user's received SINR, given a maximum orthogonality factor epsi between transmit beamforming vectors (epsi = 0 if orthogonal beamforming). The authors assume a simple power allocation, which consists of distributing the available power equally over the active beams. In a system with K active users and a given average SNR, the authors show that the sum rate is a function of the number of antennas, the number of active beams (considered less than or equal to the number of antennas), the orthogonality factor epsi and the quantization codebook size. A practical rate function is derived for the described system which approximates the average sum rate accurately as validated through computer simulations. Based on the proposed rate function, optimality of SDMA vs. TDMA systems with asymptotically large number of users is shown. In addition, the authors provide a performance comparison between the proposed algorithm with limited feedback and other approaches with different level of channel state information at the transmitter.
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning

Modeling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. The categorical model of Clark, Coecke, and Sadrzadeh (2008) and Coecke, Sadrzadeh, and Clark (2010) provides a solution by unifying a categorial grammar and a distributional model of meaning. It takes into account syntactic relations during semantic vector composition operations. But the setting is abstract: It has not been evaluated on empirical data and applied to any language tasks. We generate concrete models for this setting by developing algorithms to construct tensors and linear maps and instantiate the abstract parameters using empirical data. We then evaluate our concrete models against several experiments, both existing and new, based on measuring how well models align with human judgments in a paraphrase detection task. Our results show the implementation of this general abstract framework to perform on par with or outperform other leading models in these experiments.1
Impact of Alf on Communication Subsystems Design and Performance Extended Abstract

The lack of exibility and eeciency of the traditional layered model has led researchers to consider new approaches when designing communication subsystems. In particular, one approach consists of implementing protocol subsystems tailored to application requirements. The Application Level Framing concept in which the communication subsystem is able to process data in chunks of application-speciic size illustrates such adaptative and integrated approach. In this paper we discuss the impact of the ALF approach on both the design and the performance of the communication subsystems. Speciically, we examine the eeects of ALF on the implementation of a simple JPEG image server. The server has been rstly implemented and experiments are currently carried out to evaluate its performance. The results of these experiments will be available shortly. They will indicate the impact of ALF on the server performance.
LIMITING ACCRETION ONTO MASSIVE STARS BY FRAGMENTATION-INDUCED STARVATION

Massive stars influence their surroundings through radiation, winds, and supernova explosions far out of proportion to their small numbers. However, the physical processes that initiate and govern the birth of massive stars remain poorly understood. Two widely discussed models are monolithic collapse of molecular cloud cores and competitive accretion. To learn more about massive star formation, we perform and analyze simulations of the collapse of rotating, massive, cloud cores including radiative heating by both non-ionizing and ionizing radiation using the FLASH adaptive-mesh refinement code. These simulations show fragmentation from gravitational instability in the enormously dense accretion flows required to build up massive stars. Secondary stars form rapidly in these flows and accrete mass that would have otherwise been consumed by the massive star in the center, in a process that we term fragmentation-induced starvation. This explains why massive stars are usually found as members of high-order stellar systems that themselves belong to large clusters containing stars of all masses. The radiative heating does not prevent fragmentation, but does lead to a higher Jeans mass, resulting in fewer and more massive stars than would form without the heating. This mechanism reproduces the observed relation between the total stellar mass in the cluster and the mass of the largest star. It predicts strong clumping and filamentary structure in the center of collapsing cores, as has recently been observed. We speculate that a similar mechanism will act during primordial star formation.
Contextual Entity Resolution Approach for Genealogical Data

Due to huge amount of inaccurate information and dierent types of ambiguity in the available digitized genealogical data, apply- ing Entity Resolution techniques for determining the records referring to the same entity should be considered as the rst and still very im- portant step in analysis of this type of data. Traditional methods, use a standard string similarity measure to calculate the similarity among references, neglecting the contextual information available for each ref- erence, and then introduce the most similar pairs as matches. In this paper, rst, we introduce a novel blocking strategy to reduce the number of potential candidate pairs. Second, we propose a contextual similarity measure which not only considers the string similarity among references but also contextual information available for them. Third, we evaluate our proposed method extensively from dierent perspectives and among many discussed patterns, the \early child death" pattern discovered to be prominent.
What Makes You Generous? The Influence of Rural and Urban Rearing on Social Discounting in China

An individual’s willingness to share resources declines as the social distance between the decision maker and the recipient increases, which is known as social discounting. This social-distance-dependent prosocial behavior is likely to be influenced by the region in which individuals were raised. Based on previous studies on social discounting, this research focuses on the differing social distance-dependent prosocial behaviors between rural- and urban-reared participants in China. Our data showed that both groups’ behaviors conform to the social discounting function and fit the hyperbolic model, as reported in previous studies about social discounting. Interestingly, individuals who were raised in rural areas yielded a smaller discount rate than those who were raised in urban areas, which indicated that a rural upbringing produced people who were more generous than those with an urban upbringing. Furthermore, this distinct type of generosity occurred notably among individuals with greater social distance, such as strangers or distant acquaintances. The reason may be due to the difference in dominant culture, production mode and lifestyle between rural and urban people.
The European Unemployment Dilemma

Post‐World War II European welfare states experienced several decades of relatively low unemployment, followed by a plague of persistently high unemployment since the 1980s. We impute the higher unemployment to welfare states' diminished ability to cope with more turbulent economic times, such as the ongoing restructuring from manufacturing to the service industry, adoption of new information technologies, and a rapidly changing international economy. We use a general equilibrium search model in which workers accumulate skills on the job and lose skills during unemployment.
Topics in Interoperability: Structural Programmatics in a System of Systems

Abstract : This technical note presents a case study on how choices of structural programmatics (e.g., hierarchical or peer-to-peer organization, centralized or decentralized execution) affect the ability to achieve programmatic interoperability in the context of large, complex systems of systems. Key systems-of-systems concepts and definitions are introduced and explored through the case study. In addition, this report illustrates the pitfalls of focusing on only one aspect of a problem and discusses the need to balance management's desires for control with the realities of systems-of-systems programmatics. The report also introduces an alternative to conventional program management practice that addresses the pitfalls previously identified.
Predictors of CD4(+) T-cell counts of HIV type 1-infected persons after virologic failure of all 3 original antiretroviral drug classes.

BACKGROUND Low CD4(+) T-cell counts are the main factor leading to clinical progression in human immunodeficiency virus type 1 (HIV-1) infection. We aimed to investigate factors affecting CD4(+) T-cell counts after triple-class virological failure. METHODS We included individuals from the COHERE database who started antiretroviral therapy from 1998 onward and who experienced triple-class virological failure. CD4(+) T-cell counts obtained after triple-class virologic failure were analyzed using generalized estimating equations. RESULTS The analyses included 2424 individuals with a total of 23 922 CD4(+) T-cell count measurements. In adjusted models (excluding current viral load and year), CD4(+) T-cell counts were higher with regimens that included boosted protease inhibitors (increase, 22 cells/µL [95% confidence interval {CI}, 3.9-41]; P = .017) or drugs from the new classes (increase, 39 cells/µL [95% CI, 15-62]; P = .001), compared with nonnucleoside reverse-transcriptase inhibitor-based regimens. These associations disappeared when current viral load and/or calendar year were included. Compared with viral levels of <2.5 log(10) copies/mL, levels of 2.5-3.5, 3.5-4.5, 4.5-5.5, and >5.5 log(10) copies/mL were associated with CD4(+) T-cell count decreases of 51, 84, 137, and 186 cells/µL, respectively (P < .001). CONCLUSIONS The approximately linear inverse relationship between log(10) viral load and CD4(+) T-cell count indicates that there are likely immunologic benefits from lowering viral load even by modest amounts that do not lead to undetectable viral loads. This is important for patients with low CD4(+) T-cell counts and few drug options.
Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach

Colorectal cancer is a heterogeneous disease that manifests through diverse clinical scenarios. During many years, our knowledge about the variability of colorectal tumors was limited to the histopathological analysis from which generic classifications associated with different clinical expectations are derived. However, currently we are beginning to understand that under the intense pathological and clinical variability of these tumors there underlies strong genetic and biological heterogeneity. Thus, with the increasing available information of inter-tumor and intra-tumor heterogeneity, the classical pathological approach is being displaced in favor of novel molecular classifications. In the present article, we summarize the most relevant proposals of molecular classifications obtained from the analysis of colorectal tumors using powerful high throughput techniques and devices. We also discuss the role that cancer systems biology may play in the integration and interpretation of the high amount of data generated and the challenges to be addressed in the future development of precision oncology. In addition, we review the current state of implementation of these novel tools in the pathological laboratory and in clinical practice.
RTS noise impact in CMOS image sensors readout circuit

CMOS image sensors are nowadays widely used in imaging applications even for high end applications. This is really possible thanks to a reduction of noise obtained, among others, by Correlated Double Sampling (CDS) readout. Random Telegraph Signal (RTS) noise has thus become an issue for low light level applications especially in the context of downscaling transistor dimension. This paper describes the analysis of in-pixel source follower transistor RTS noise filtering by CDS circuit. The measurement of a non Gaussian distribution with a positive skew of image sensor output noise is analysed and dimension (W and L) impact of the in-pixel source follower is analysed.
Unions, Wage Setting and Monetary Policy Uncertainty

Recent theoretical research has studied extensively the link between wage setting and monetary policymaking in unionized economies. This paper addresses the question of the role of monetary uncertainty from both a theoretical and empirical point of view. Our analysis is based on a simple model that derives the influence of monetary uncertainty on unionized wage setting. We construct an indicator of monetary policy uncertainty and test our model with data for the G5 countries. The central finding is that monetary policy uncertainty has a negative impact on nominal wage growth in countries where wage setting is relatively centralized.