Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding deep learning requires rethinking generalization

Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small difference between training and test performance. Conventional wisdom attributes small generalization error either to properties of the model family, or to the regularization techniques used during training. Through extensive systematic experiments, we show how these traditional approaches fail to explain why large neural networks generalize well in practice. Specifically, our experiments establish that state-of-the-art convolutional networks for image classification trained with stochastic gradient methods easily fit a random labeling of the training data. This phenomenon is qualitatively unaffected by explicit regularization, and occurs even if we replace the true images by completely unstructured random noise. We corroborate these experimental findings with a theoretical construction showing that simple depth two neural networks already have perfect finite sample expressivity as soon as the number of parameters exceeds the number of data points as it usually does in practice. We interpret our experimental findings by comparison with traditional models.
Teaching U.S. History Online: Problems and Prospects.

In 2000-01 fifty-six percent of two and four year institutions and ninety percent of two year public colleges offered distance education classes.1 Many major universities are offering distance education classes to students around the world and some have joined hands to produce classes online. The Alliance for Lifelong Learning (Alllearn), a joint project of Yale and Stanford Universities in the United States and Oxford Univer-
A tree-scattering model for improved propagation prediction in urban microcells

This paper presents a model for the scattering of radiowaves from the canopy of a single tree. The canopy is modeled as a cylindrical volume containing randomly distributed and oriented cylinders, representing the branches, and thin disks, representing the leaves. A simple expression for the incoherent scattered field outside the canopy is obtained using Twersky's multiple scattering theory. This expression is shown to agree well with results of scattering measurements on a live tree typical of those found in urban environments. The scattering model can be readily incorporated in ray-based propagation prediction tools that assist the planning of microcellular radio networks. This involves the use of so-called tree-scattered rays, which interact at the tree centers. Path loss predictions generated with the aid of the new model are shown and compared with measured data to illustrate the considerable improvement in prediction accuracy that can be achieved in realistic urban microcellular scenarios by taking into account the scatter from trees.
The impact of a hypothetical designated driver program on intended alcohol-related behavior: an RCT.

UNLABELLED This study was aimed to assess, using vignettes, the impact of a hypothetical 'designated driver' (DD) initiative on level of intended alcohol consumption. A secondary aim was to assess whether using any form of transport where someone else drove was associated with level of intended consumption. A total of 390 individual sports club members from 72 clubs in New South Wales, Australia, completed a telephone survey. Individuals were randomized into one of two groups: one receiving a hypothetical vignette where the sports club members drank in a setting that provided a DD program; and the other receiving a vignette where the setting in which sports club members drank did not have a DD program. Individuals in both groups were asked to estimate the amount of alcohol they would be likely to consume and the time over which they would consume alcohol, and to indicate the likely means of traveling home afterwards. No difference in the amount of alcohol intended to be consumed between those in the DD and the non-DD group was identified. However, secondary analysis identified that, after controlling for group allocation, greater alcohol consumption was reported by individuals who used transport that relied on someone else to drive them home. DD programs implemented in community sports clubs may not affect intended alcohol consumption by club members. However, using someone else to drive home was associated with greater alcohol consumption. To mitigate against this risk, licensed premises that implement safe transport strategies should consider the use of additional strategies to moderate alcohol consumption that may be inadvertently encouraged. TRIAL REGISTRATION (Australian Clinical Trials Registry) ACTRN12611000831987.
Load Management of Modular Battery Using Model Predictive Control: Thermal and State-of-Charge Balancing

Thermal and state-of-charge (SOC) imbalances are well known to cause nonuniform aging in batteries. This paper presents the electrothermal control of a multilevel converter-based modular battery to address this issue. The modular battery provides a large redundancy in synthesizing terminal voltage, which gives extra degrees of freedom in control on cell level. There are multiple tightly coupled control objectives including the simultaneous thermal and SOC balancing as well as battery terminal voltage control. The main purpose of this paper is to devise an electrothermal control scheme for cases where full future driving information is not accessible. The control scheme is based on decomposition of controller into two orthogonal components, one for voltage control and the other for balancing control. This problem decomposition enables the application of constrained linear quadratic model predictive control scheme to solve the balancing problem elegantly. The control scheme is thoroughly evaluated through simulations of a four cell modular battery. The results show that a rather short prediction horizon is sufficient to achieve robust control performance.
Managing the Transition from School to Work: The False Promise of Youth Apprenticeship

ing. Finally, the Pew Memorial Trust, the nation’s second largest foundation, recently lent its support to a project to implement youth apprenticeship programs in fifteen sites around the country, and, in the last few years, legislatures in Arkansas, Georgia, Maine, Oregon, and Wisconsin have passed legislation to establish youth apprenticeship programs in their s t a t e s . Although the sponsors of these proposals and projects acknowledge that implementing an apprenticeship system will be difficult, all of them believe that success in developing such a system will have a number of beneficial economic and social effects. By upgrading the skills of future workers, they contend, apprenticeship will improve the quality of the nation’s work force and thus make the American economy more productive and competitive. In addition, many say, after starting their apprenticeships, non–college bound students will see a direct link between what they do in the classroom and their future occupational careers. Consequently, they will work harder in school in order to acquire the skills they need to succeed in the labor market. Finally, some have even argued that by exposing young people to more responsible adults in the work place, an apprenticeship system would help adolescents mature more quickly and thereby make it less likely they will get involved with drugs, commit crimes, or get pregnant. Even allowing for the rhetorical oversell that usually accompanies the introduction of new educational programs, much of this sounds persuasive. Since the introduction of vocational education early in the twentieth century, reformers have argued that linking the classroom more closely to the work place would make school more attractive to disaffected young people and improve the nation’s economic competitiveness. But, despite its apparent potential, it is doubtful whether apprenticeship can do much more than previous vocational programs to get young people to study more, to improve their job prospects, or to make the economy more productive. In fact, by focusing attention so exclusively on education at the expense of other public policies designed to end racial discrimination, encourage high wages and full employment, and foster the reorganization of work, it may actually do more to dim than to brighten the prospects for genuine economic reform.
An econometric analysis of the mental-health effects of major events in the life of older individuals.

Major events in the life of an older individual, such as retirement, a significant decrease in income, death of the spouse, disability, and a move to a nursing home, may affect the mental-health status of the individual. For example, the individual may enter a prolonged depression. We investigate this using unique longitudinal panel data that track labor market behavior, health status, and major life events, over time. To deal with endogenous aspects of these events we apply fixed effects estimation methods. We find some strikingly large effects of certain events on the occurrence of depression. We relate the results to the health care and labor market policy towards older individuals.
QUANTITATIVE EXAMINATION OF SUPRA-ARCADE DOWNFLOWS IN ERUPTIVE SOLAR FLARES

Downward motions above post-coronal mass ejection flare arcades are an unanticipated discovery of the Yohkoh mission, and have subsequently been detected with TRACE, SOHO/LASCO, SOHO/SUMER, and Hinode/XRT. These supra-arcade downflows are interpreted as outflows from magnetic reconnection, consistent with a three-dimensional generalization of the standard reconnection model of solar flares. We present results from our observational analyses of downflows, which include a semiautomated scheme for detection and measurement of speeds, sizes, and—for the first time—estimates of the magnetic flux associated with each shrinking flux tube. Though model dependent, these findings provide an empirical estimate of the magnetic flux participating in individual episodes of patchy magnetic reconnection, and the energy associated with the shrinkage of magnetic flux tubes.
On the boosting ability of top-down decision tree learning algorithm for multiclass classification

We analyze the performance of the top-down multiclass classification algorithm for decision tree learning called LOMtree, recently proposed in the literature Choromanska and Langford (2014) for solving efficiently classification problems with very large number of classes. The algorithm online optimizes the objective function which simultaneously controls the depth of the tree and its statistical accuracy. We prove important properties of this objective and explore its connection to three well-known entropy-based decision tree objectives, i.e. Shannon entropy, Gini-entropy and its modified version, for which instead online optimization schemes were not yet developed. We show, via boosting-type guarantees, that maximizing the considered objective leads also to the reduction of all of these entropy-based objectives. The bounds we obtain critically depend on the strong-concavity properties of the entropy-based criteria, where the mildest dependence on the number of classes (only logarithmic) corresponds to the Shannon entropy.
Childhood Gender-Typed Behavior and Adolescent Sexual Orientation: A Longitudinal Population-Based Study

Lesbian and gay individuals have been reported to show more interest in other-sex, and/or less interest in same-sex, toys, playmates, and activities in childhood than heterosexual counterparts. Yet, most of the relevant evidence comes from retrospective studies or from prospective studies of clinically referred, extremely gender nonconforming children. In addition, findings are mixed regarding the relation between childhood gender-typed behavior and the later sexual orientation spectrum from exclusively heterosexual to exclusively lesbian/gay. The current study drew a sample (2,428 girls and 2,169 boys) from a population-based longitudinal study, and found that the levels of gender-typed behavior at ages 3.5 and 4.75 years, although less so at age 2.5 years, significantly and consistently predicted adolescents’ sexual orientation at age 15 years, both when sexual orientation was conceptualized as 2 groups or as a spectrum. In addition, within-individual change in gender-typed behavior during the preschool years significantly related to adolescent sexual orientation, especially in boys. These results suggest that the factors contributing to the link between childhood gender-typed behavior and sexual orientation emerge during early development. Some of those factors are likely to be nonsocial, because nonheterosexual individuals appear to diverge from gender norms regardless of social encouragement to conform to gender roles.
Critical Role of Endogenous Thrombospondin-1 in Preventing Expansion of Healing Myocardial Infarcts

Background—Matricellular proteins are extracellular matrix proteins that do not contribute directly to tissue integrity but are capable of modulating cell function. We hypothesized that the matricellular protein thrombospondin (TSP)-1, a potent inhibitor of angiogenesis and activator of transforming growth factor (TGF-&bgr;), is induced in healing myocardial infarcts and plays a role in suppressing the postinfarction inflammatory response, inhibiting local angiogenesis, and limiting expansion of granulation tissue into the noninfarcted area. Methods and Results—We used a canine and a murine model of reperfused infarction. TSP-1 mRNA was induced in canine infarcts after 1 hour of ischemia and 3 to 7 days of reperfusion. TSP-1 protein showed a strikingly selective localization in the extracellular matrix, microvascular endothelium, and a subset of mononuclear cells of the infarct border zone after 5 to 28 days of reperfusion. Isolated canine venous endothelial cells showed low-level constitutive expression of TSP-1 mRNA, which was markedly induced by TGF-&bgr;, and basic fibroblast growth factor. Murine infarcts also had marked TSP-1 deposition in the border zone. Infarcted TSP-1−/− mice exhibited sustained upregulation of the chemokines monocyte chemoattractant protein-1, macrophage inflammatory protein-1&agr;, and interferon-&ggr;–inducible protein-10/CXCL10 and the cytokines interleukin-1&bgr;, interleukin-6, and TGF-&bgr;, suggesting an enhanced and prolonged postinfarction inflammatory response. In addition, TSP-1−/− mice had markedly increased macrophage and myofibroblast density in infarcts and in remodeling noninfarcted myocardial areas neighboring the myocardial scar, suggesting expansion of granulation tissue formation into the noninfarcted territory. TSP-1−/− animals had more extensive postinfarction remodeling than wild-type mice, although infarct size was similar in both groups. Conclusions—The infarct border zone may be capable of modulating the healing process through its unique extracellular matrix content. The selective endogenous expression of TSP-1 in the infarct border zone may serve as a “barrier,” limiting expansion of granulation tissue and protecting the noninfarcted myocardium from fibrotic remodeling.
Genetic Distribution and Diversity of the Johnny Darter (Etheostoma Nigrum,Rafinesque) in the Upper Midwest

This novel study examined the existing nigrum (Johnny darter, Rafinesque) in the Upper Midwest. Four microsatellite loci were chosen to examine eight populations of E. nigrum, a non-migratory, benthic fish, from three drainage basins: the Red River of the North, the upper Missouri River, and the upper Mississippi River. These systems provide an excellent opportunity for phylogeographic studies as they have only been recently available to colonization by ichthyofauna. we applied four microsatellite loci to examine population structure within and among these major watersheds. Using AMOVA, strong evidence of a watershed effect was observed with 31% of the genetic variance among watersheds. Variance between populations within drainages accounted for 9% of the total variation. This observation was further supported using a Bayesian analysis which identified five well-supported assemblages which roughly agreed with watershed assignment. One notable exception to this pattern was observed for Lake Ida. This isolated lake is located in the Red River drainage; however, the population more closely aligned with populations from the upper Mississippi River. Because Johnny darters show considerable geographic genetic structure, they provide a good model to compare with other species that have been translocated within and among drainages.
A Multi-Level Study of the Predictors of Family-Supportive Supervision

There is a growing awareness that informal supports such as family-supportive supervision are critical in assuring the success of work-life policies and benefits. Furthermore, it is believed that family-supportive supervision may have positive effects regardless of the number or quality of work-life polices and benefits an organization has in place. Given this recognition, work-life experts have emphasized the need for supervisor training to increase family-supportive supervision. To date however, there has been a paucity of research on the predictors of family-supportive supervision which could be used as the target of such a training intervention. This dissertation had three major aims: 1) to investigate which supervisor-level (e.g., reward system, productivity maintenance, salience of changing workforce, belief in business case, awareness of organizational policies and benefits, role-modeling) and employee-level (e.g., support sought) factors are most strongly related to familysupportive supervision; 2) to explore whether supervisor factors moderate the relationship between support sought and family-supportive supervision; 3) and to use a multilevel design to confirm the association between family-supportive supervision and work-family conflict. This study used a cross-sectional, two-level (e.g., supervisor, and employee) hierarchical design. The data were collected from supervisors (Nurse Managers N=67) and employees (Nurses N=757) at five hospitals in the Pacific Northwest. All of the major analyses were conducted using multi-level
Analysis and Evaluation of Performance Gains and Tradeoffs for Massive MIMO Systems

Massive MIMO technique offers significant performance gains for the future of wireless communications via improving the spectral efficiency, energy efficiency and the channel quality with simple linear processing such as maximum-ratio transmission (MRT) or zero-forcing (ZF) by providing each user a large degree of freedom. In this paper, the system performance gains are studied in a multi-cell downlink massive MIMO system under the main considerations such as perfect channel estimation, imperfect channel estimation and the effect of interference among cells due to pilot sequences contamination. Then, mathematical expressions are derived for these gains i.e., spatial multiplexing gain, array gain and spatial diversity gain. After that, essential tradeoffs among these gains are considered under the effect of non-orthogonal interference, these tradeoffs are: spatial diversity gain vs. spatial multiplexing gain and array gain vs. spatial multiplexing gain. Simulation results show that the unbounded number of base station antennas boosts the array gain through concentrating the energy to spatial directions where users are sited, hence diminishing loss in array gain due to pilot contamination. The simulation results reveal also that massive MIMO strengthens the spatial multiplexing gain through increasing the number of served users via the same system resources in spite the effect of inter-cell interference. Finally, the spatial diversity gain is measured in term of outage probability and the simulation results show that raising the number of antennas will improve the outage probability. Meanwhile increasing the number of served users will lead to degrade the outage probability per user due to non-orthogonal interference from other cells.
Temporal Changes in Cortical and Hippocampal Expression of Genes Important for Brain Glucose Metabolism Following Controlled Cortical Impact Injury in Mice

Traumatic brain injury (TBI) causes transient increases and subsequent decreases in brain glucose utilization. The underlying molecular pathways are orchestrated processes and poorly understood. In the current study, we determined temporal changes in cortical and hippocampal expression of genes important for brain glucose/lactate metabolism and the effect of a known neuroprotective drug telmisartan on the expression of these genes after experimental TBI. Adult male C57BL/6J mice (n = 6/group) underwent sham or unilateral controlled cortical impact (CCI) injury. Their ipsilateral and contralateral cortex and hippocampus were collected 6 h, 1, 3, 7, 14, 21, and 28 days after injury. Expressions of several genes important for brain glucose utilization were determined by qRT-PCR. In results, (1) mRNA levels of three key enzymes in glucose metabolism [hexo kinase (HK) 1, pyruvate kinase, and pyruvate dehydrogenase (PDH)] were all increased 6 h after injury in the contralateral cortex, followed by decreases at subsequent times in the ipsilateral cortex and hippocampus; (2) capillary glucose transporter Glut-1 mRNA increased, while neuronal glucose transporter Glut-3 mRNA decreased, at various times in the ipsilateral cortex and hippocampus; (3) astrocyte lactate transporter MCT-1 mRNA increased, whereas neuronal lactate transporter MCT-2 mRNA decreased in the ipsilateral cortex and hippocampus; (4) HK2 (an isoform of hexokinase) expression increased at all time points in the ipsilateral cortex and hippocampus. GPR81 (lactate receptor) mRNA increased at various time points in the ipsilateral cortex and hippocampus. These temporal alterations in gene expression corresponded closely to the patterns of impaired brain glucose utilization reported in both TBI patients and experimental TBI rodents. The observed changes in hippocampal gene expression were delayed and prolonged, when compared with those in the cortex. The patterns of alterations were specific to different brain regions and exhibited different recovery periods following TBI. Oral administration of telmisartan (1 mg/kg, for 7 days, n = 10 per group) ameliorated cortical or hippocampal mRNA for Glut-1/3, MCT-1/2 and PDH in CCI mice. These data provide molecular evidence for dynamic alteration of multiple critical factors in brain glucose metabolism post-TBI and can inform further research for treating brain metabolic disorders post-TBI.