We present a search for continuous gravitational waves from five radio pulsars, comprising three recycled pulsars (PSR J0437？4715, PSR J0711？6830, and PSR J0737？3039A) and two young pulsars: the Crab pulsar (J0534+2200) and the Vela pulsar (J0835？4510).

The gravitational-wave signal GW190521 is consistent with a binary black hole (BBH) merger source at redshift 0.8 with unusually high component masses, ${85}_{-14}^{+21}$ M ⊙ and ${66}_{-18}^{+17}$ M ⊙, compared to previously reported events, and shows mild evidence for spin-induced orbital precession.

On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio of 14.7, and an estimated false-alarm rate of 1 in 4900 yr using a search sensitive to generic transients.

To estimate the causal impact of a change in the national health insurance policy to cover the cost of respiratory syncytial virus (RSV) antigen testing on the incidence of RSV infection by age-groups, we analyzed the sentinel datasets of RSV infection in Japan from 2009？2017.

To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs.

In this study, we investigated whether long short-term memory (LSTM) can be used in the future to predict F10.7 index data; the F10.7 index is a space environment factor affecting atomic oxygen erosion.

인공위성에 사용되는 재료가 우주에서 운용되는 동안 원자산소(atomic oxygen)에 의하여 발생하는 침식(erosion)에 중요한 영향을 미치는 태양활동의 지표 중 하나인 F10.7의 예측은 인공위성 최적 설계에 있어서 핵심 요소이다. 그 동안은 최악의 상황을 가정한 예측에 따라 설계하였으나, 인공위성 제작이 민간에게 전이되는 상황에서 이러한 지표의 예측에 통계적 방법뿐만 아니라 최신의 기계학습(machine learning) 기법들을 적용하는 연구를 진행하고 있다. 본 논문에서는 F10.7을 예측하는 방법으로 LSTM(long short-term memory) 네트워크를 적용하였다. 특별히 본 논문에서는 전체 자료를 일반적으로 기계학습에서 사용하고 있는 학습 자료(training set), 검증 자료(validation set), 평가 자료(test set)로 나누는 대신, 학습 자료의 크기가 줄어드는 것을 피하기 위하여 검증용 자료를 사용하지 않으면서 과적합 이전에 학습 과정을 멈추는 방안을 제안하였다.또한 한 개의 시점을 예측하는 것과 12개의 시점을 한번에 예측하는 방법을 함께 제안한다.

We propose a technique to measure the impact of loss of traffic function in a particular area to surrounding areas. The proposed method is applied to the city of Seoul, which is the capital of South Korea with a population of about ten million.

The orbits of two black holes (BHs) that are initially unbound can be transformed into bound orbits by emitting gravitational waves during close encounters in a star cluster, which is called gravitational-wave (GW) capture. The effects of spin of BHs on GW capture are investigated in the context of numerical relativity.

We review the immersed boundary (IB) method in order to investigate the fluid-structure interaction problems governed by the Navier？Stokes equation.