Re-examination of the Time Structure of the SN1987A Neutrino Burst Data in Kamiokande-II

The seven seconds’ gap in the Kamiokande-II SN1987A neutrino data is reexamined.

Cognition and Subjective Age Predict Physical Activity Engagement: A Longitudinal Study of Impaired Older Adults

Physical activity is an important factor in preventing or slowing cognitive decline. However, the predictors of fluctuations in physical activity in a population that is already experiencing cognitive impairment is not well understood. Subjective age, such as how old one feels, has been tied to many health indicators in cognitively intact populations. Thus, we focused on the within-person associations between subjective age and physical activity as they unfold over time within a sample of cognitively impaired participants. The current study examined 400 reports from measurement burst data consisting of 5 weekly surveys conducted twice across 6 months from 68 cognitively impaired participants (M age = 70.14 (6.63), range = 60-92). Participants completed a battery of cognitive tests at baseline. At each weekly assessment, participants reported on their physical activity (e.g., exercise, outdoor, flexibility, and strength activities; Yes/No) and subjective age with respect to how old they feel overall and how old they feel mentally. There were longitudinal decreases in physical activity across the bursts, but on occasions when participants felt younger overall or younger mentally there were increases in physical activity. In addition, the effects of mental subjective age depended on cognitive ability, with those scoring lower in cognitive ability appearing to benefit the most from decreases (feeling younger) in mental subjective age. These findings suggest that perceptions of aging, especially within the domain of mental age, are tied to physical activity engagement for older adults with cognitive impairment.

Comparison of the characteristics of magnetars born in death of massive stars and merger of compact objects with swift Gamma-Ray burst data

Assuming that the shallow-decaying phase in the early X-ray lightcurves of gamma-ray bursts (GRBs) is attributed to the dipole radiations (DRs) of a newborn magnetar, we present a comparative analysis for the magnetars born in death of massive stars and merger of compact binaries with long and short GRB (lGRB and sGRB) data observed with the Swift mission. We show that the typical braking index (n) of the magnetars is ∼3 in the sGRB sample, and it is ∼4 for the magnetars in the lGRB sample. Selecting a sub-sample of the magnetars whose spin-down is dominated by DRs (n ≲ 3) and adopting a universal radiation efficiency of 0.3, we find that the typical magnetic field strength (Bp) is 1016 G versus 1015 G and the typical initial period (P0) is ∼20 ms versus 2 ms for the magnetars in the sGRBs versus lGRBs. They follow the same relation between P0 and the isotropic GRB energy as $P_0\propto E_{\rm jet}^{-0.4}$. We also extend our comparison analysis to superluminous supernovae (SLSNe) and stable pulsars. Our results show that a magnetar born in merger of compact stars tends to have a stronger Bp and a longer P0 by about one order of magnitude than that born in collapse of massive stars. Its spin-down is dominated by the magnetic DRs as old pulsars, being due to its strong magnetic field strength, whereas the early spin-down of magnetars born in massive star collapse is governed by both the DRs and gravitational wave (GW) emission. A magnetar with a faster rotation speed should power a more energetic jet, being independent of its formation approach.

High Priority Arbitration for Less Burst Data Transactions for Improved Average Waiting Time of Multi-Processor Cores

The multi-processor cores in SoC which have high burst data transactions can play a critical role while accessing the shared resources such as the off-chip memory. These processor cores can starve other processor cores that have less burst data transactions while accessing the same shared resources. The starving issue of other processor cores leads to degrade the entire system performance of the SoC. However, the arbiter architecture in the SoC design plays the best solution to manage different processor core requests and granting one of them to access the shared resources according to different scheduling algorithms. In this paper, we have designed AXI interconnect, which includes arbiter architecture to connect four processor cores represented by the AXI masters and the off-chip memory represented by the salve. Each processor core (AXI Master) uses the AXI4 interface protocol to improve the system performance and the arbiter based on the static fixed-priority algorithm to improve the average waiting time for all the processor cores. The SoC design architecture is modeled in System Verilog HDL; simulation and synthesis are done by using the Vivado tool and FPGA ZYNQ-7 ZC702 Evaluation Board (xc7z020clg484-1).

Observation and modelling of whistlers in the ELF as observed by Swarm satellites during regular ASM burst sessions

<p>The magnetic component of electromagnetic signals in the Extremely Low Frequencies (ELF) has been rarely observed from space. The Swarm satellites have the capability of observing part of this spectral band during burst sessions of the Absolute Scalar Magnetometer (ASM), when the sampling frequency of the instrument is raised to 250 Hz. Burst sessions of one week duration have been acquired regularly since 2019. Swarm satellites drift slowly in local time, therefore it has been possible to progressively acquire burst data to cover all hours at all latitudes. This is a unique opportunity at Low Earth Orbits (LEO) in recent years.</p><p>This study focuses on whistlers excited by lightning strikes generated by strong storm systems in the troposphere. The ELF component of the lightning signal propagates in the neutral atmosphere at very long distances. We used data from the ground stations of the World ELF Radiolocation Array (WERA) in order to estimate lightning locations and intensity for remarkable events. Part of the lightning signal penetrates into the ionosphere, where the ionospheric plasma produces its dispersion, depending on the spatial distribution of the plasma and the direction of the magnetic field.</p><p>We selected events to simulate their propagation through the ionosphere, using ionosonde data, IRI Real-Time Assimilative Mapping (IRTAM) and International Reference Ionosphere (IRI) model as backgrounds, along with the latest version of the International Geomagnetic Reference Field (IGRF). This technique allows to use these signals to sound the ionosphere and validate ionospheric models.</p><p>A database of whistler occurrences and parameters has been constructed and a new Swarm L2 product has been defined to make this data accessible to the scientific community.</p>

Systematic Changes in Gait Pursuant to Choir Participation for Caregivers and Persons With Dementia

Choir interventions confer psychological benefits for persons with dementia (PwD) and their caregivers. However, less is known about whether physiological function also exhibits improvements pursuant to such social-cognitive interventions. The present study, based upon a subsample of the Voices in Motion (ViM) project, explored whether participation in an intergenerational choir results in systematic improvements in gait velocity (indexed using a GAITRite computerized walkway) for both informal caregivers (n=14; 71.4% female) and PwD (n=14; 64.3% female). Longitudinal burst data from the first of three cohorts spanning 4 assessments over 3.5 months was analysed using multilevel modeling. Whereas caregivers exhibited significant improvements (p<.05) in gait velocity, PwD showed no improvement. Ongoing analyses are exploring additional cohorts, and whether improvements in gait dynamically covary with reductions in comorbidities (e.g., neuropsychological function, caregiver burden, depressive affect). These results underscore the potential of choir for facilitating both psychosocial and physiological function for caregivers and PwD.

The Djorgovski–Gurzadyan dark energy integral equation and the Hubble diagram

We consider the observational aspects of the value of dark energy density from quantum vacuum fluctuations based initially on the Gurzadyan–Xue model. We reduce the Djorgovski–Gurzadyan integral equation to a differential equation for the co-moving horizon and then, by means of the obtained explicit form for the luminosity distance, we construct the Hubble diagram for two classes of observational samples. For supernova and gamma-ray burst data we show that this approach provides viable predictions for distances up to z ≃ 9, quantitatively at least as good as those provided by the Λ cold dark matter model. The Hubble parameter dependence H(z) of the two models also reveals mutual crossing at z = 0.4018, the interpretation of which is less evident.