Welfare Reform and Changes in the Economic Well-Being of Children

Since the implementation of the Temporary Assistance for Needy Families program in late-1996, welfare rolls have declined by more than half. This paper explores whether improvements in the economic well-being of children have accompanied this dramatic reduction in welfare participation. Further, we examine the degree to which the success or failure of welfare reform has been shared equally among families of varying educational background. We analyze data from the March Current Population Surveys over the years 1988 through 2001. Specifically, we link data for families with children who are interviewed in adjacent years and determine whether their economic circumstances either improved or deteriorated. We use two alternative approaches to address this general issue: a variety of regression models and a difference-in-differences methodology. These approaches provide consistent answers. In a bivariate framework TANF is associated with higher incomes; but this association becomes insignificant in the presence of business cycle controls. We also determine that children who were poor at an initial time period benefit differently, depending on their parents' educational attainment level. Poor children with parents who do not have a high school degree are significantly worse off in the TANF era, relative to the era prior to welfare reform, than are their more educated counterparts.

Immediate Versus Delayed Feedback on Learning: Do People’s Instincts Really Conflict With Reality?

Researchers have held differing views on the effects of feedback timing for decades. A closer reading of the timing of feedback literature that favored delayed feedback revealed that this conclusion may have been reached prematurely, because the results might have been confounded by the time interval between feedback and a posttest. This study differs from previous feedback timing studies in three distinct ways: First, this study addressed the limitations of previous studies by holding time interval between the feedback (either immediate or delayed) and the posttest constant. Second, this study included various types of knowledge and investigated the interaction between feedback timing and different knowledge types. Third, most studies that investigate the comparative effectiveness of immediate and delayed feedback on written assignments were conducted in the STEM fields, whereas few studies can be found in the second language learning field. Results revealed that the immediate feedback condition significantly outperformed the delayed feedback condition on conceptual knowledge learning, however, no difference between the two conditions was found on situational knowledge learning

Concave Switching in Single and Multihop Networks

Switched queueing networks model wireless networks, input queued switches and numerous other networked communications systems. For single-hop networks, we consider a {($\alpha,g$)-switch policy} which combines the MaxWeight policies with bandwidth sharing networks -- a further well studied model of Internet congestion. We prove the maximum stability property for this class of randomized policies. Thus these policies have the same first order behavior as the MaxWeight policies. However, for multihop networks some of these generalized polices address a number of critical weakness of the MaxWeight/BackPressure policies. For multihop networks with fixed routing, we consider the Proportional Scheduler (or (1,log)-policy). In this setting, the BackPressure policy is maximum stable, but must maintain a queue for every route-destination, which typically grows rapidly with a network's size. However, this proportionally fair policy only needs to maintain a queue for each outgoing link, which is typically bounded in number. As is common with Internet routing, by maintaining per-link queueing each node only needs to know the next hop for each packet and not its entire route. Further, in contrast to BackPressure, the Proportional Scheduler does not compare downstream queue lengths to determine weights, only local link information is required. This leads to greater potential for decomposed implementations of the policy. Through a reduction argument and an entropy argument, we demonstrate that, whilst maintaining substantially less queueing overhead, the Proportional Scheduler achieves maximum throughput stability.Comment: 28 page

Developing a context-based bounded centrality approach of street patterns in flooding: a case study of London

Floods affect an average of 21 million people worldwide each year, and their frequency is expected to increase due to climate warming, population growth, and rapid urbanisation. Previous research on the robustness of transport networks during floods has mainly used percolation theory. However, giant component size of disrupted networks cannot capture the entire network’s information and, more importantly, does not reflect the local reality. To address this issue, this study introduces a novel approach to bounded context-based centrality to extract the local impact of disruption. In particular, we propose embedding travel behaviour into the road network to calculate bounded centrality and develop new measures characterising the size of connected components during flooding. Our analysis can identify critical road segments during floods by comparing the decreasing trend and dispersibility of component sizes on road networks. To demonstrate the feasibility of these approaches, a case study of London's transport infrastructure that integrates road networks with relevant urban contexts was developed. This approach is beneficial for practical risk management, helping decision-makers allocate resources efficiently in space and time

Characterization of the lncRNA transcriptome in mESC-derived motor neurons: Implications for FUS-ALS

Long non-coding RNAs (lncRNAs) are currently recognized as crucial players in nervous system development, function and pathology. In Amyotrophic Lateral Sclerosis (ALS), identification of causative mutations in FUS and TDP-43 or hexanucleotide repeat expansion in C9ORF72 point to the essential role of aberrant RNA metabolism in neurodegeneration. In this study, by taking advantage of an in vitro differentiation system generating mouse motor neurons (MNs) from embryonic stem cells, we identified and characterized the long non-coding transcriptome of MNs. Moreover, by using mutant mouse MNs carrying the equivalent of one of the most severe ALS-associated FUS alleles (P517L), we identified lncRNAs affected by this mutation. Comparative analysis with humanMNs derived in vitro frominduced pluripotent stemcells indicated that candidate lncRNAs are conserved between mouse and human. Our work provides a global view of the long non-coding transcriptome of MN, as a prerequisite toward the comprehension of the still poorly characterized non-coding side ofMNphysiopatholog

Inferring neutron star properties with continuous gravitational waves

Detection of continuous gravitational waves from rapidly-spinning neutron stars opens up the possibility of examining their internal physics. We develop a framework that leverages a future continuous gravitational wave detection to infer a neutron star's moment of inertia, equatorial ellipticity, and the component of the magnetic dipole moment perpendicular to its rotation axis. We assume that the neutron star loses rotational kinetic energy through both gravitational wave and electromagnetic radiation, and that the distance to the neutron star can be measured, but do not assume electromagnetic pulsations are observable or a particular neutron star equation of state. We use the Fisher information matrix and Monte Carlo simulations to estimate errors in the inferred parameters, assuming a population of gravitational-wave-emitting neutron stars consistent with the typical parameter domains of continuous gravitational wave searches. After an observation time of one year, the inferred errors for many neutron stars are limited chiefly by the error in the distance to the star. The techniques developed here will be useful if continuous gravitational waves are detected from a radio, X-ray, or gamma-ray pulsar, or else from a compact object with known distance, such as a supernova remnant.Comment: 10 pages, 4 figures. To be published in MNRA

A Regulatory Circuitry Between Gria2, miR-409, and miR-495 Is Affected by ALS FUS Mutation in ESC-Derived Motor Neurons

Mutations in fused in sarcoma (FUS) cause amyotrophic lateral sclerosis (ALS). FUS is a multifunctional protein involved in the biogenesis and activity of several types of RNAs, and its role in the pathogenesis of ALS may involve both direct effects of disease-associated mutations through gain- and loss-of-function mechanisms and indirect effects due to the cross talk between different classes of FUS-dependent RNAs. To explore how FUS mutations impinge on motor neuron-specific RNA-based circuitries, we performed transcriptome profiling of small and long RNAs of motor neurons (MNs) derived from mouse embryonic stem cells carrying a FUS-P517L knock-in mutation, which is equivalent to human FUS-P525L, associated with a severe and juvenile-onset form of ALS. Combining ontological, predictive and molecular analyses, we found an inverse correlation between several classes of deregulated miRNAs and their corresponding mRNA targets in both homozygous and heterozygous P517L MNs. We validated a circuitry in which the upregulation of miR-409-3p and miR-495-3p, belonging to a brainspecific miRNA subcluster implicated in several neurodevelopmental disorders, produced the downregulation of Gria2, a subunit of the glutamate α‐amino‐3‐hydroxy‐5‐methyl-4-isoxazole propionic acid (AMPA) receptor with a significant role in excitatory neurotransmission. Moreover, we found that FUS was involved in mediating such miRNA repression. Gria2 alteration has been proposed to be implicated in MN degeneration, through disturbance of Ca2+ homeostasis, which triggers a cascade of damaging “excitotoxic” events. The molecular cross talk identified highlights a role for FUS in excitotoxicity and in miRNA-dependent regulation of Gria2. This circuitry also proved to be deregulated in heterozygosity, which matches the human condition perfectly

Microwave-to-optical conversion using lithium niobate thin-film acoustic resonators

Acoustic or mechanical resonators have emerged as a promising means to mediate efficient microwave-to-optical conversion. Here, we demonstrate conversion of microwaves up to 4.5 GHz in frequency to 1500 nm wavelength light using optomechanical interactions on suspended thin-film lithium niobate. Our method uses an interdigital transducer that drives a freestanding 100 μm-long thin-film acoustic resonator to modulate light traveling in a Mach–Zehnder interferometer or racetrack cavity. The strong microwave-to-acoustic coupling offered by the transducer in conjunction with the strong photoelastic, piezoelectric, and electro-optic effects of lithium niobate allows us to achieve a half-wave voltage of Vπ = 4.6 V and Vπ = 0.77 V for the Mach–Zehnder interferometer and racetrack resonator, respectively. The acousto-optic racetrack cavity exhibits an optomechanical single-photon coupling strength of 1.1 kHz. To highlight the versatility of our system, we also demonstrate a microwave photonic link with unitary gain, which refers to a 0 dB microwave power transmission over an optical channel. Our integrated nanophotonic platform, which leverages the compelling properties of lithium niobate, could help enable efficient conversion between microwave and optical fields