Miracle-dz/UniFAR-FTUs huggingface dataset:
A Real Explanation for Heterogeneous Investment Dynamics

Household investment, that is investment in consumer durables and housing, leads non-residential fixed investment over the U.S. business cycle. This observation represents a potent challenge to real business cycle (RBC) theory. First of all the theory has been unable to account for it. In addition, research suggests the observation is driven by monetary shocks, supporting the view that these shocks play a leading role in the U.S. business cycle. This paper shows that RBC theory is consistent with the investment dynamics after all. It does so by generalizing the standard home production environment to take into account the fact that household capital is useful in market production.
Pearson’s chi-squared statistics: approximation theory and beyond

We establish an approximation theory for Pearson’s chi-squared statistics in situations where the number of cells is large, by using a high-dimensional central limit theorem for quadratic forms of random vectors. Our high-dimensional central limit theorem is proved under Lyapunov-type conditions that involve a delicate interplay between the dimension, the sample size, and the moment conditions. We propose a modified chi-squared statistic and introduce an adjusted degrees of freedom. A simulation study shows that the modified statistic outperforms Pearson’s chi-squared statistic in terms of both size accuracy and power. Our procedure is applied to the construction of a goodness-of-fit test for Rutherford’s alpha-particle data.
Television’s Next Generation: Technology/Interface Culture/Flow

Like many in my profession, I spend a lot of time traveling and thus in hotels, and for me, at any rate, one of the pleasures of this nomadic life is television. Besides a sense of amazement at the clever disguising of the television set into furniture forms of uncertain stylistic reference, I am fascinated by the many capacities of hotel television systems. During a stay at the Marriott in Cambridge, my television offered such features as interactive messaging, account updates, nearly 40 films on demand, and Sony Playstation, in addition to cable television and both closed circuit and cable teletext systems. Simply turning on the television provoked a staggering array of decisions regarding language, services, and menu options, all of which had to be dealt with if one wanted to watch television in any of its forms. The conception of television involved here rubs against the grain of the work I've been doing on early conceptions of the televisual, conceptions that in their nineteenth-century embodiments rendered the appearance of the film medium as something of a disappointment. 1 Simultaneity, I argued, was one of the long anticipated but ultimately suppressed or bypassed defining characteristics of a medium of " far seeing " , a medium more dependant than photography or film on the camera obscura (a metaphor, it should be recalled, with temporal as well as spatial dimensions). This notion of simultaneity was bound up with the idea of connectivity, with extending the boundaries of event and the direct access of the
Gender, Culture, and Sex-Typed Cognitive Abilities

Although gender differences in cognitive abilities are frequently reported, the magnitude of these differences and whether they hold practical significance in the educational outcomes of boys and girls is highly debated. Furthermore, when gender gaps in reading, mathematics and science literacy are reported they are often attributed to innate, biological differences rather than social and cultural factors. Cross-cultural evidence may contribute to this debate, and this study reports national gender differences in reading, mathematics and science literacy from 65 nations participating in the 2009 round of the Programme for International Student Assessment (PISA). Consistently across all nations, girls outperform boys in reading literacy, d = −. 44. Boys outperform girls in mathematics in the USA, d = . 22 and across OECD nations, d = . 13. For science literacy, while the USA showed the largest gender difference across all OECD nations, d = . 14, gender differences across OECD nations were non-significant, and a small female advantage was found for non-OECD nations, d = −. 09. Across all three domains, these differences were more pronounced at both tails of the distribution for low- and high-achievers. Considerable cross-cultural variability was also observed, and national gender differences were correlated with gender equity measures, economic prosperity, and Hofstede’s cultural dimension of power distance. Educational and societal implications of such gender gaps are addressed, as well as the mechanisms by which gender differences in cognitive abilities are culturally mediated.
Mining Association Rules between Sets of Items in Large Databases

-In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. To overcome this drawback, several methods were proposed in the literature such as item set concise representations, redundancy reduction, and post processing. However, being generally based on statistical information, most of these methods do not guarantee that the extracted rules are interesting for the user. Thus, it is crucial to help the decision-maker with an efficient post processing step in order to reduce the number of rules. This paper proposes a new interactive approach to prune and filter discovered rules. First, we propose to use ontologies in order to improve the integration of user knowledge in the post processing task. Second, we propose the Rule Schema formalism extending the specification language proposed by Liu et al. for user expectations. Furthermore, an interactive framework is designed to assist the user throughout the analyzing task. Applying our new approach over voluminous sets of rules, we were able, by integrating domain expert knowledge in the post processing step, to reduce the number of rules to several dozens or less. Moreover, the quality of the filtered rules was validated by the domain expert at various points in the interactive process.
Selection Criteria in Regime Switching Conditional Volatility Models

A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a regime switching framework. We focus on two types of models: the Logistic Smooth Transition GARCH and the Markov-Switching GARCH models. Simulation experiments reveal that information criteria and loss functions can lead to misspecification ; BIC sometimes indicates the wrong regime switching framework. Depending on the Data Generating Process used in the experiments, great care is needed when choosing a criterion.
Educational Self-Selection, Tasks Assignment and Rising Wage Inequality

This paper presents a general equilibrium assignment model of workers to tasks with endogenous human capital formation and multidimensionality of skills. The model has 2 key features. First, skills are endogenous and multidimensional. Second, two types of assignment occur, workers self-select their education and firms assign workers to tasks/machines. This assignment model yields two functions mapping skills of each type to tasks. Equilibrium is characterized by different wage functions for each type of skills, so that the wage distributions generally overlap. This model offers a unique framework to analyze changes in the wage structure within and between skills groups of workers and distinguishes between technological change that is related to machines (the technical factor) or related to workers (the human factor). I show both theoretically and through simulations that the model can reproduce simultaneously i) the overlap in the wage distributions of college and high-school graduates, ii) the rise in the college-premium, iii) the rise in within wage inequality iv) the differential behavior of the between and within wage inequality in the 60s and 70s and, v) the decline of the wage at the first decile of the overall wage distribution. A family of closed form solutions for the wage functions is proposed. In this family, the output of worker-task pairs is Cobb-Douglas, tasks are distributed according to a Beta distribution and the mapping functions have a logistic form.
Screening mammogram utilization in women with diabetes.

OBJECTIVE To determine whether women with diabetes undergo fewer screening mammograms than matched control subjects. RESEARCH DESIGN AND METHODS A total of 424 women with diabetes aged 50-75 years who received their primary care from general internists at a large Midwestern multispecialty group practice were retrospectively studied for frequency of mammography from August 1997 to January 2000. Two control subjects without diabetes (n = 845) were matched to each case by age, sex, provider, and date of visit. The main outcome measure was the percentage of subjects undergoing mammography 1 year before and 30 days after an index date, defined as the most recent health care visit after August 1997 and before January 2000. RESULTS Analysis by conditional logistic regression demonstrated that women with diabetes had significantly lower rates of mammograms than control subjects (78.1 vs. 84.9%, respectively; odds ratio 0.63, P = 0.002). After adjusting for insurance status and race, women with diabetes continued to have significantly lower rates of mammography (odds ratio 0.70, P = 0.027). CONCLUSIONS Women with diabetes were significantly less likely to undergo screening mammography than control subjects. Considering the increasing incidence of diabetes and the equal incidence of malignancy in women with and without diabetes, it would be beneficial to improve breast cancer screening in this population.
Objects Are Highlighted by Spatial Attention

Selective attention may be focused upon a region of interest within the visual surroundings, thereby improving the perceptual quality of stimuli at that location. It has been debated whether this spatially selective mechanism plays a role in the attentive selection of whole objects in a visual scene. The relationship between spatial and object-selective attention was investigated here through recordings of event-related brain potentials (ERPs) supplemented with functional magnetic brain imaging (fMRI). Subjects viewed a display consisting of two bar-shaped objects and directed attention to sequences of stimuli (brief corner offsets) at one end of one of the bars. Unattended stimuli belonging to the same object as the attended stimuli elicited spatiotemporal patterns of neural activity in the visual cortex closely resembling those elicited by the attended stimuli themselves, albeit smaller in amplitude. This enhanced neural activity associated with object-selective attention was localized by use of ERP dipole modeling and fMRI to the lateral occipital extrastriate cortex. We conclude that object-selective attention shares a common neural mechanism with spatial attention that entails the facilitation of sensory processing of stimuli within the boundaries of an attended object.
On the solutions of a class of iterated generalized Bers–Vekua equations in Clifford analysis

We consider functions with values in the Clifford algebra Clp,q which are solutions of a certain class of the iterated generalized Bers–Vekua equation Dmw=0 with Dw=∂w+cw̄ where \documentclass{article}\usepackage{amssymb}\usepackage{amsbsy}\usepackage[mathscr]{euscript}\footskip=0pc\pagestyle{empty}\begin{document}$\partial={\sum\nolimits_{j=0}^{n}}e_j\,\partial/{\partial x_j}$\end{document} is the generalized Cauchy–Riemann operator and x=x0+x1e1+…xnen. We prove that any such function w has an Almansi‐type decomposition of the form w=v0+x0v1+···+x m−10vm−1 where the functions vj, j=0,1,…, m−1, are solutions of the generalized Bers–Vekua equation Dv=0. Copyright © 2009 John Wiley & Sons, Ltd.
Linking the Selection of Requirements to Market Value : A Portfolio-Based Approach Siv

Determining which requirements are selected for implementation of software applications is crucial to the satisfaction of customers. In a commercial setting, the value assigned by markets to a publicly held company is the ultimate measure of the degree to which the company meets its business goals -satisfies its customers. We argue that portfolio theory provides a market driven, systematic, and more objective approach to selecting requirements and also accounts for uncertainty and incomplete knowledge in the real world. We illustrate through two examples, that the economic dimension is an important factor of software engineering decision-making because it facilitates the calibration of our estimates of limited resources. The underlying point is that the success or otherwise of software systems in commercial settings can be better ascertained by making the connection to market-assigned value explicit. Our particular application of portfolio-based reasoning is a step in contributing towards this objective.
Employees’ Acceptance of E-Newsletters for Organisational Information Transfer

ABSTRACT Internal marketing and internal communication collectively strive to build relationships with, empower, and motivate employees to foster an organisational culture of support for organisational goals and objectives to be met and organisational success achieved. Electronic newsletters support internal marketing and internal communication endeavours as they serve the purpose of transferring organisational information to employees. E-newsletters can be tested to determine whether employees willingly utilise them for their intended purposes. By means of a quantitative research approach, utilising regression to analyse the empirical data, a study was conducted to determine employees’ acceptance of e-newsletters. This was conducted by means of an adapted technology acceptance model (TAM), and a self-administered e-mail survey was disseminated to employees of a higher education institution. Based on the research results, employees perceive TAM differently to what is put forward in literature, which results in the acceptance of e-newsletters for the purpose of transferring organisational information. Results show that respondents perceived two of the factors of TAM as one factor. In addition, the results provide insight into how academic employees perceive e-newsletters and what practical changes can be made to e-newsletters in order to cater to employees’ preferences.
Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?

The current banking crisis highlights the challenges faced in the traditional lending model, particularly in terms of screening smaller borrowers. The recent growth in online peer-to-peer lending marketplaces offers opportunities to examine different lending models that rely on screening by multiple peers. This paper evaluates the screening ability of lenders in such peer-to-peer markets. Our methodology takes advantage of the fact that lenders do not observe a borrowerâ€™s true credit score but only see an aggregate credit category. We find that lenders are able to use available information to infer a third of the variation in creditworthiness that is captured by a borrowerâ€™s credit score. This inference is economically significant and allows lenders to lend at a 140-basis-points lower rate for borrowers with (unobserved to lenders) better credit scores within a credit category. While lenders infer the most from standard banking â€œhardâ€ information, they also use non-standard (subjective) information. Our methodology shows, without needing to code subjective information that lenders learn even from such â€œsofterâ€ information, particularly when it is likely to provide credible signals regarding borrower creditworthiness. Our findings highlight the screening ability of peer-to-peer markets and suggest that these emerging markets may provide a viable complement to traditional lending markets, especially for smaller borrowers.
Regulation of KCC2 and NKCC during development: Membrane insertion and differences between cell types

The developmental switch of GABA's action from excitation to inhibition is likely due to a change in intracellular chloride concentration from high to low. Here we determined if the GABA switch correlates with the developmental expression patterns of KCC2, the chloride extruder K+‐Cl− cotransporter, and NKCC, the chloride accumulator Na+‐K+‐Cl− cotransporter. Immunoblots of ferret retina showed that KCC2 upregulated in an exponential manner similar to synaptophysin (a synaptic marker). In contrast, NKCC, which was initially expressed at a constant level, upregulated quickly between P14 and P28, and finally downregulated to an adult level that was greater than the initial phase. At the cellular level, immunocytochemistry showed that in the inner plexiform layer KCC2's density increased gradually and its localization within ganglion cells shifted from being primarily in the cytosol (between P1–13) to being in the plasma membrane (after P21). In the outer plexiform layer, KCC2 was detected as soon as this layer started to form and increased gradually. Interestingly, however, KCC2 was initially restricted to photoreceptor terminals, while in the adult it was restricted to bipolar dendrites. Thus, the overall KCC2 expression level in ferret retina increases with age, but the time course differs between cell types. In ganglion cells the upregulation of KCC2 by itself cannot explain the relatively fast switch in GABA's action; additional events, possibly KCC2's integration into the plasma membrane and downregulation of NKCC, might also contribute. In photoreceptors the transient expression of KCC2 suggests a role for this transporter in development. J. Comp. Neurol. 499:132–143, 2006. © 2006 Wiley‐Liss, Inc.
Biodistribution and dosimetry of TRODAT-1: a technetium-99m tropane for imaging dopamine transporters.

UNLABELLED Technetium-99m TRODAT-1 is an analog of cocaine that selectively binds the presynaptic dopamine transporters. The primary purpose of this study was to measure its whole-body biokinetics and radiation dosimetry in healthy human volunteers. The study was conducted within a regulatory framework that required its pharmacological safety to be assessed simultaneously. METHODS The sample included 4 men and 6 women ranging in age from 22-54 yr. An average of 20 whole-body scans were acquired sequentially on a dual-head camera for up to 46 hr after the intravenous administration of 370+/-16 MBq (10.0+/-0.42 mCi) 99mTc TRODAT. The renal excretion fractions were measured from 12-24 discrete urine specimens. The fraction of the administered dose in 17 regions of interest and each urine specimen was quantified from the attenuation and background corrected geometric mean counts in conjugate views. Multiexponential functions were iteratively fit to each time-activity curve using a nonlinear, least squares regression algorithm. These curves were numerically integrated to yield source organ residence times. Gender-specific radiation doses were then estimated with the Medical Internal Radiation Dose technique for each subject individually before any results were averaged. RESULTS There were no pharmacological effects of the radiotracer on any of the subjects. The early planar images showed differentially increased activity in the nose, pudendum and stomach. SPECT images demonstrated that the radiopharmaceutical localized in the basal ganglia in a distribution that was consistent with selective transporter binding. Image analysis showed that the kidneys excreted between 20% and 32% of the injected dose during the first 22-28 hr postadministration, after which no more activity could be recovered in the urine. The dose limiting organ in both men and women was the liver, which received an average of 0.046 mGy/MBq (0.17 rads/mCi, range 0.14-0.22 rad/mCi). In the worst case, which was clearly an over-estimation, it would have taken 22.7 mCi to deliver 5 rad to the liver. CONCLUSION TRODAT may be a safe and effective radiotracer for imaging dopamine transporters in the brain and the body.
E258K HCM-causing mutation in cardiac MyBP-C reduces contractile force and accelerates twitch kinetics by disrupting the cMyBP-C and myosin S2 interaction

Mutations in cardiac myosin binding protein C (cMyBP-C) are prevalent causes of hypertrophic cardiomyopathy (HCM). Although HCM-causing truncation mutations in cMyBP-C are well studied, the growing number of disease-related cMyBP-C missense mutations remain poorly understood. Our objective was to define the primary contractile effect and molecular disease mechanisms of the prevalent cMyBP-C E258K HCM-causing mutation in nonremodeled murine engineered cardiac tissue (mECT). Wild-type and human E258K cMyBP-C were expressed in mECT lacking endogenous mouse cMyBP-C through adenoviral-mediated gene transfer. Expression of E258K cMyBP-C did not affect cardiac cell survival and was appropriately incorporated into the cardiac sarcomere. Functionally, expression of E258K cMyBP-C caused accelerated contractile kinetics and severely compromised twitch force amplitude in mECT. Yeast two-hybrid analysis revealed that E258K cMyBP-C abolished interaction between the N terminal of cMyBP-C and myosin heavy chain sub-fragment 2 (S2). Furthermore, this mutation increased the affinity between the N terminal of cMyBP-C and actin. Assessment of phosphorylation of three serine residues in cMyBP-C showed that aberrant phosphorylation of cMyBP-C is unlikely to be responsible for altering these interactions. We show that the E258K mutation in cMyBP-C abolishes interaction between N-terminal cMyBP-C and myosin S2 by directly disrupting the cMyBP-C–S2 interface, independent of cMyBP-C phosphorylation. Similar to cMyBP-C ablation or phosphorylation, abolition of this inhibitory interaction accelerates contractile kinetics. Additionally, the E258K mutation impaired force production of mECT, which suggests that in addition to the loss of physiological function, this mutation disrupts contractility possibly by tethering the thick and thin filament or acting as an internal load.
GENETIC CONSTRAINTS ON ADAPTATION TO A CHANGING ENVIRONMENT

Genetic correlations between traits can constrain responses to natural selection. To what extent such correlations limit adaptation depends on patterns of directional selection. I derive the expected rate of adaptation (or evolvability) under randomly changing selection gradients. When directional selection gradients have an arbitrary covariance matrix, the average rate of adaptation depends on genetic correlations between traits, contrary to the isotropic case investigated in previous studies. Adaptation may be faster on average with more genetic correlation between traits, if these traits are selected to change jointly more often than the average pair of traits. However, natural selection maximizes the long‐term fitness of a population, not necessarily its rate of adaptation. I therefore derive the average lag load caused by deviations of the mean phenotype from an optimum, under several forms of environmental changes typically experienced by natural populations, both stochastic and deterministic. Simple formulas are produced for how the G matrix affects long‐term fitness in these contexts, and I discuss how their parameters can be estimated empirically.