Miracle-dz/UniFAR-FTUs huggingface dataset:
An Analysis of Optimal Training for Correlated Fading Channels Using Cutoff Rate

Abstract : We consider the problem of optimal allocation of resources (power and bandwidth) between training and data for transmission over a Gauss Markov fading channel. Inaccurate channel state information ((CSI) is available at the receiver through periodic training. The transmitter is assumed to have knowledge of the channel Doppler spread. We compute the ergodic cutoff rate Ro for the temporally-correlated Rayleigh flat fading channels with imperfect channel state information (CSI) available at the receiver. We study MMSE estimators that predict the current channel state based on: all past pilot observations, only the most recent pilot observation, and the most recent and next in the future pilot observations.
DAML: Domain Adaptation Metric Learning

The state-of-the-art metric-learning algorithms cannot perform well for domain adaptation settings, such as cross-domain face recognition, image annotation, etc., because labeled data in the source domain and unlabeled ones in the target domain are drawn from different, but related distributions. In this paper, we propose the domain adaptation metric learning (DAML), by introducing a data-dependent regularization to the conventional metric learning in the reproducing kernel Hilbert space (RKHS). This data-dependent regularization resolves the distribution difference by minimizing the empirical maximum mean discrepancy between source and target domain data in RKHS. Theoretically, by using the empirical Rademacher complexity, we prove risk bounds for the nearest neighbor classifier that uses the metric learned by DAML. Practically, learning the metric in RKHS does not scale up well. Fortunately, we can prove that learning DAML in RKHS is equivalent to learning DAML in the space spanned by principal components of the kernel principle component analysis (KPCA). Thus, we can apply KPCA to select most important principal components to significantly reduce the time cost of DAML. We perform extensive experiments over four well-known face recognition datasets and a large-scale Web image annotation dataset for the cross-domain face recognition and image annotation tasks under various settings, and the results demonstrate the effectiveness of DAML.
How do households respond to uncertainty shocks

Economic disruptions generally coincide with heightened uncertainty. In the United States, uncertainty increased sharply with the recent housing market crash, financial crisis, deep recession, and uneven recovery. In July 2010 Congressional testimony, Federal Reserve Chairman Bernanke described conditions as "unusually uncertain. " The uncertain landscape was also cited as a factor in the slow recovery from the 2001 recession, when the March 2003 Federal Open Market Committee statement highlighted the "unusually large uncertainties" at the time. ; Uncertainty is a standard feature of most macroeconomic models, in which consumers and firms make decisions today based on expectations of an unknown (and hence uncertain) future. But in light of real-world events, economists have begun to think more critically about the role of uncertainty in the economy. Recent research has allowed the degree of uncertainty to vary over time and examined how these fluctuations affect business activity. The results have been mixed thus far, with some authors finding that fluctuations in uncertainty are a key factor in the business cycle, while others have found little such evidence. ; Knotek and Khan take a similar approach in studying levels of uncertainty that can vary over time, but they focus on household responses to changes in uncertainty. Because uncertainty can take many forms, they consider two measures of uncertainty, one based on references to uncertainty in newspaper articles and another derived from the stock market. ; While economic theory predicts sudden, sharp pullbacks of household purchases following increases in uncertainty, the empirical results suggest that household spending reductions are modest and may only appear after a considerable time has passed. In addition, movements in uncertainty account for only a small portion of the total fluctuations in household spending. These results suggest that variations in the amount of uncertainty--at least as they are commonly captured--do not appear to be a key factor driving household spending decisions and, in turn, economic weakness.
Are dictators loss averse?

This paper investigates whether individuals are loss averse with respect to their status quo wealth level in sharing situations. In a real-effort dictator game, dictators are asked to share their earnings either before or after earning them. The instructions also variably emphasize the amount that the dictator will give or receive at the end of the experiment. This study finds that whether the money is already earned or not has no statistically significant effects on the average sharing behavior, regardless of which instructions are used. The results indicate that dictator game participants are not loss averse with respect to their status quo wealth level.
A review of entitlement

Interest in employee entitlement perceptions is increasing in academia and in organizations. Entitlement has a long history of being conceptualized as a personality trait in psychology closely aligned with narcissism. Research on workplace entitlement has generally revealed links with negative workplace behaviors, indicating costly outcomes for individuals, teams, and organizations. Our aim in this article is to review the literature on workplace entitlement perceptions, identifying how the construct has changed definition over time, and indicating related constructs that impact on research within industrial and organizational psychology. This review progresses research in this field by examining the nomological network around entitlement and resolving current inconsistencies in the construct definition of entitlement in the workplace, and establishing a set of firm future research directions for entitlement research.
Tropical Cyclone Boundary Layer Shocks

This paper presents numerical solutions and idealized analytical solutions of axisymmetric, f-plane models of the tropical cyclone boundary layer. In the numerical model, the boundary layer radial and tangential flow is forced by a specified pressure field, which can also be interpreted as a specified gradient balanced tangential wind field vgr(r) or vorticity fieldgr(r). When the specified �gr(r) field is changed from one that is radially concentrated in the inner core to one that is radially spread, the quasi-steady-state boundary layer flow transitions from a single eyewall shock-like structure to a double eyewall shock-like structure. To better understand these structures, analytical solutions are presented for two simplified versions of the model. In the simplified analytical models, which do not include horizontal diffusion, the u(@u/@r) term in the radial equation of motion and the u(f + (@v/@r) + (v/r)) term in the tangential equation of motion produce discontinuities in the radial and tangential wind, with associated singularities in the boundary layer pumping and the boundary layer vorticity. In the numerical model, which does include horizontal diffusion, the radial and tangential wind structures are not true discontinuities, but are shock-like, with wind changes of 20 or 30 m s 1 over a radial distance of a few kilometers. When double shocks form, the outer shock can control the strength of the in- ner shock, an effect that likely plays an important role in concentric eyewall cycles.
Reduction in Tcf7l2 Expression Decreases Diabetic Susceptibility in Mice

Objective: The WNT signaling pathway effector gene TCF7L2 has been associated with an increased risk of type 2 diabetes. However, it remains unclear how this gene affects diabetic pathogenesis. The goal of this study was to investigate the effects of Tcf7l2 haploinsufficiency on metabolic phenotypes in mice. Experimental Design: Tcf7l2 knockout (Tcf7l-/-) mice were generated. Because of the early mortality of Tcf7l2-/- mice, we characterized the metabolic phenotypes of heterozygous Tcf7l2+/- mice in comparison to the wild-type controls. The mice were fed a normal chow diet or a high fat diet (HFD) for 9 weeks. Results: The Tcf7l2+/- mice showed significant differences from the wild-type mice with regards to body weight, fasting glucose and insulin levels. Tcf7l2+/- mice displayed improved glucose tolerance. In the liver of Tcf7l2+/- mice fed on the HFD, reduced lipogenesis and hepatic triglyceride levels were observed when compared with those of wild-type mice. Furthermore, the Tcf7l2+/- mice fed on the HFD exhibited decreased peripheral fat deposition. Immunohistochemistry in mouse pancreatic islets showed that endogenous expression of Tcf7l2 was upregulated in the wild-type mice, but not in the Tcf7l2+/- mice, after feeding with the HFD. However, the haploinsufficiency of Tcf7l2 in mouse pancreatic islets resulted in little changes in glucose-stimulated insulin secretion. Conclusion: These results suggest that decreased expression of Tcf7l2 confers reduction of diabetic susceptibility in mice via regulation on the metabolism of glucose and lipid.
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification

Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In this paper, we develop a framework that integrates multiple hypothesis testing measures into a unified decision basis, and apply kernel-based classification techniques, namely, kernel Fisher discriminant (KFD) and support vector machine (SVM), to optimize the integration. Experiments conducted on speaker verification demonstrate the superiority of our approaches over the predominant approaches
Stereo vision for computer graphics: the effect that stereo vision has on human judgments of visual realism

Stereo vision is a fundamental part of our human visual system and yet this aspect is largely ignored when rendering high quality images. This paper investigates whether viewing in stereo could affect our judgements of the visual realism of computer-generated images. Three experiments concerning the visual factors of illumination directions, light source numbers, and view point position have been carried out to study the different responses between two groups of human subjects. Two groups of subjects had different conditions of viewing. One viewed stereoscopic pairs of images (different views for each eye) while the other group viewed identical pairs of images (same view for each eye). Subjects were asked to respond verbally with "Real" or "Not Real" to each visual stimulus presented. The data recorded in the experiments was the subjects' response time.The results from the three experiments all reveal that under the stereo viewing condition, the subjects took more time to make the decision on the visual realism of the synthetic images. This outcome provides insight into how we should consider rendering highly realistic images of real scenes as opposed to images that simply approximate a photograph of that scene.
The Determinants of Urban Households' Transport Decisions: A Microeconometric Study using Irish Data

This paper uses Irish micro-data to analyse the determinants of urban households' transport decisions by estimating elasticities of demand for car ownership, car use and public transport with respect to income and various household socio-demographic characteristics. This paper uses expenditure data to examine car and public transport use and analyses the latter decision for separate samples of households, namely, those owning one car and those owning no car. A binary probit model is estimated for the car ownership decision, while for the car use and public transport expenditure decisions, Tobit models adjusted for heteroscedastic and non-normal errors are estimated.
Trajectories of depressive symptoms after a major cardiac event

Depression is a common comorbidity in cardiac patients. This study sought to document fluctuations of depressive symptoms in the 12 months after a first major cardiac event. In all, 310 patients completed a battery of psychosocial measures including the depression subscale of the Symptom Check List-90-Revised. A total of 252 of them also completed follow-up measures at 3 and 12 months. Trajectories of depressive symptoms were classified as none, worsening symptoms, sustained remission, and persistent symptoms. Although the prevalence of depressive symptoms was consistent at each assessment, there was considerable fluctuation between symptom classes. Regression analyses were performed to identify predictors of different trajectories.
Study of Proliferating cell nuclear antigen expression and Angiogenesis in Urothelial neoplasms: Correlation with tumor grade and stage

Background: Urinary bladder carcinoma ranks ninth in worldwide cancer incidence. About 74,000 new cases were diagnosed in 2015 alone and 16,000 persons died of the disease. Since histopathology is considered gold standard for diagnosis, it is prudent to look for potential tumor proliferation and predictive markers in such a prevalent malignancy so as to alert surgical and medical oncologists for timely intervention and provide better patient-tailored therapy. Aims: This study is to analyze the role of potential biomarkers-proliferating cell nuclear antigen (PCNA) and angiogenesis using CD31 in urothelial neoplasms in relation to tumor grade and stage. Methods: Histopathology slides were prepared from transurethral resection of bladder tumor chips and assessed by three independent observers as per the WHO/International Society of Urologic Pathology criteria 2016. Representative sections were subjected to immunohistochemistry. PCNA labeling index (PCNA LI) and mean vessel density (MVD) were calculated. Statistical Analysis: Tests of analysis were applied as appropriate. A statistical P < 0.05 was considered significant. Results: Forty-nine patients were analyzed. PCNA LI increased with grade and stage. PCNA was significantly higher in noninvasive papillary urothelial carcinoma high grade (NIPUCHG) than in noninvasive papillary urothelial carcinoma low grade (NIPUCLG) and in infiltrating urothelial carcinoma as compared to NIPUCLG. MVD also increased with tumor grade and stage; however, a significant difference was observed only between infiltrating urothelial carcinoma and papillary urothelial neoplasm of low malignant potential. A cutoff value of 73% for PCNA and 49 vessels/high-power field for CD 31 showed 100% accuracy to differentiate between noninvasive papillary urothelial carcinoma high grade and NIPUCLG. No association was observed between tumor recurrence and PCNA or CD31 expression. Conclusion: PCNA and CD31 when used together are valuable markers to help classify urothelial neoplasms in limited tumor material. However, larger prospective studies are required for better prognostication.
Personalized and Depersonalized Responses to Leaders’ Fair Treatment: Status Judgments and Leader–Member Exchange as Mediating Mechanisms

By extracting insights from leader–member exchange (LMX) theory and social identity theory, this study predicted that a leader’s interactional justice is associated with followers’ multifoci identification by personalized and depersonalized mediating mechanisms. Specifically, we hypothesized that a leader’s interactional justice affects (a) followers’ relational identification via the LMX as a personalized response and (b) followers’ work-group identification via status judgments (pride and respect) as a depersonalized response. The study’s constructs were measured on three separate occasions over an interval of 4 months, using data from a sample of 322 employees at a large public university. As predicted, we found that (a) LMX mediates the relationship between interactional justice and relational identification and (b) status judgments (pride and respect) mediate the relationships between interactional justice and work-group identification. Theoretical and practical implications for these findings are discussed.
How Frequently Do Prices Change? Evidence Based on the Micro Data Underlying the Belgian CPI

This paper examines the degree of price rigidity in Belgian consumer prices, using a large database. As to the observed degree of rigidity, the results reveal a substantial amount of heterogeneity, not only across but also within product categories. While prices turn out to be perfectly flexible for some product categories, they tend to be very sticky for others. Each month, nearly 17 p.c. of the consumer prices change on average and the median duration of a price spell is close to 13 months. A substantial subset of our results is compatible with state-dependent pricing, while other results suggest that some timedependency exists as well. The majority of price changes are price increases, but price decreases are not uncommon, except for services. The size of price changes is important. Price changes do not seem to be highly synchronised across price-setters within relatively homogenous product categories. JEL Classification: D21, D40, E31
Introduced and invasive cactus species: a global review

Understanding which species are introduced and become invasive are central questions in invasion science. In this sense, the cactus family is an interesting case study. Only 57 of the 1922 cactus species are currently recorded as invasive. There are three invasion hotspots: South Africa, Australia, and Spain. However, we identified large areas of the world with suitable climates. The invasive taxa represent an interesting subset of the total pool: they occur in two of the three major phylogenetic clades and in 13 of the 130 cactus genera, they possess five of the 12 cactus growth forms, and they tend to have larger native ranges.
Copy number variation associates with mortality in long‐lived individuals: a genome‐wide assessment

Copy number variants (CNVs) represent a significant source of genetic variation in the human genome and have been implicated in numerous diseases and complex traits. To date, only a few studies have investigated the role of CNVs in human lifespan. To investigate the impact of CNVs on prospective mortality at the extreme end of life, where the genetic component of lifespan appears most profound, we analyzed genomewide CNV data in 603 Danish nonagenarians and centenarians (mean age 96.9 years, range 90.0–102.5 years). Replication was performed in 500 long‐lived individuals from the Leiden Longevity Study (mean age 93.2 years, range 88.9–103.4 years). First, we assessed the association between the CNV burden of each individual (the number of CNVs, the average CNV length, and the total CNV length) and mortality and found a significant increase in mortality per 10 kb increase in the average CNV length, both for all CNVs (hazard ratio (HR) = 1.024, P = 0.002) and for duplications (HR = 1.011, P = 0.005), as well as per 100 kb increase in the total length of deletions (HR = 1.009, P = 0.0005). Next, we assessed the relation between specific deletions and duplications and mortality. Although no genome–wide significant associations were discovered, we identified six deletions and one duplication that showed consistent association with mortality in both or either of the sexes across both study populations. These results indicate that the genome–wide CNV burden, specifically the average CNV length and the total CNV length, associates with higher mortality in long‐lived individuals.
Personality Psychology’s Comeback and Its Emerging Symbiosis With Social Psychology

Psychology’s early allegiance to behaviorism and experimental methods led many to disparage personality approaches throughout much of last century. Doubts about personality psychology’s viability culminated in Mischel’s assertion that measures of personality account for modest amounts of variance in behavior. In the years immediately following this critique, interest in personality research waned and many psychology departments dropped their training programs in personality. Throughout the past two decades, however, personality psychology has enjoyed a resurgence. The authors discuss several possible explanations for personality’s comeback and then describe the emergence of a promising symbiosis between personality psychology and its sister discipline, social psychology. The article concludes by noting that although this emerging symbiosis is likely to continue bearing considerable theoretical fruit, the traditional distinction between personal, situational, and interactional determinants of behavior continues to be useful within appropriate contexts.
Moral Hazard in the Diamond-Dybvig Model of Banking

We modify the Diamond-Dybvig [3] model studied in Green and Lin [5] to incorporate a self-interested banker who has a private record-keeping technology. A public record-keeping device does not exist. We find that there is a trade-off between sophisticated contracts that possess relatively good risk-sharing properties but allocate resources inefficiently for incentive reasons, and simple contracts that possess relatively poor risk-sharing properties but economize on the inefficient use of resources. While this trade-off depends on model parameters, we find that simple contracts prevail under a wide range of empirically plausible parameter values. Although moral hazard in banking may simplify the optimal structure of deposit liabilities, this simple structure does not enhance the prospect of bank runs
ProtoGen: Automatically Generating Directory Cache Coherence Protocols from Atomic Specifications

Designing directory cache coherence protocols is complicated because coherence transactions are not atomic in modern multicore processors. A coherence transaction comprises multiple messages, and these messages can interleave with other conflicting coherence transactions initiated by other cores. To overcome this architectural challenge, we present ProtoGen, an automated tool for taking the description of a directory protocol with atomic transactions (i.e., no concurrency) and generating the corresponding protocol for a multicore with non-atomic transactions. ProtoGen outputs the finite state machines for the cache and directory controllers, including all of the transient states that are possible with concurrent transactions. We have used ProtoGen to generate complete MSI, MESI, and MOSI protocols given their stable state protocol specifications. We have verified the generated protocols for safety and deadlock freedom using the Murφ model checker. Our generated protocols are identical to or better than manually generated protocols, at times even discovering opportunities to reduce stalling.
Robust egomotion estimation using ICP in inverse depth coordinates

This paper presents a 6 degrees of freedom egomotion estimation method using Iterative Closest Point (ICP) for low cost and low accuracy range cameras such as the Microsoft Kinect. Instead of Euclidean coordinates, the method uses inverse depth coordinates which better conforms to the error characteristics of raw sensor data. Novel inverse depth formulations of point-to-point and point-to-plane error metrics are derived as part of our implementation. The implemented system runs in real time at an average of 28 frames per second (fps) on a standard computer. Extensive experiments were performed to evaluate different combinations of error metrics and parameters. Results show that our system is accurate and robust across a variety of motion trajectories. The point-to-plane error metric was found to be the best at coping with large inter-frame motion while remaining accurate and maintaining real time performance.