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Gravitational waves may be hidden in the light atoms emit
“Our findings may open a route toward compact gravitational-wave sensing, where the relevant atomic ensemble is millimeter-scale,” said Navdeep Arya, a postdoctoral researcher at Stockholm University. “A thorough noise analysis is necessary to assess practical feasibility, but our first estimates are promising.”
If confirmed, this approach could eventually lead to much smaller and more accessible detectors, offering a new way to observe some of the universe’s most dramatic events.
Enucleated cells with Nectin-1 overexpression capture HSV-1 and promote viral elimination for herpes simplex encephalitis therapy
Zhou et al. describe an antiviral strategy for herpes simplex encephalitis that employs enucleated MSCs overexpressing Nectin-1 as decoys. This strategy effectively sequesters the virus and prevents its intracellular replication. Ultimately, they undergo programmed apoptosis, thereby facilitating macrophage-mediated clearance. This strategy offers a therapeutic approach for refractory viral infections.
Physics-Informed LSTM for Fatigue Life Prediction of Rubber Isolators under Thermo-Mechanical Coupling
【】 Full article: (Authored by Shen Liu and Fei Meng, from University of Shanghai for Science and Technology, China.)
Rubber supports are essential in automotive, heavy machinery, and aerospace engineering. They offer excellent hyper elasticity, viscoelastic dissipation, and noise reduction. However, their fatigue evolution under coupled thermo-mechanical loading is exceptionally complex. This study develops an LSTM-Physics-Informed Neural Network (PINN) framework that integrates prior physical knowledge transfer with Partial Differential Equation (PDE) constraints, to address the challenge of predicting the fatigue life of rubber_isolators under thermo-mechanical-damage coupling.
Rubber supports are ubiquitous in modern vibration isolation systems. Their fatigue evolution under coupled thermo-mechanical loading is exceptionally complex. Traditional life prediction methods rely heavily on empirical formulas. These methods often lack accuracy and extrapolation capabilities under varying temperatures. To address this, we propose a novel LSTM-PINN architecture. This framework integrates physical constitutive relations and temperature effects into a neural network. We used transfer learning to extract baseline physical data across wide temperature ranges. Long Short-Term Memory (LSTM) layers capture sequential loading features. We embedded partial differential equations (PDEs) into the loss function. These PDEs are based on strain energy density (SED) and Arrhenius thermodynamics. This approach ensures strict adherence to physical laws. Results demonstrate that LSTM-PINN achieves high precision even with small datasets. It also exhibits superior out-of-distribution (OOD) generalization. This framework provides a new paradigm for evaluating the reliability of rubber components.
Rubber Isolator, Fatigue Life, PINN, LSTM, Thermo–Mechanical Coupling
Lethal conflict after group fission in wild chimpanzees
Territorial conflicts in animals can inform aspects of human warfare, but civil war, with its shifting group identities, has not been previously observed. We report a rare, permanent fission in the largest-known group of wild chimpanzees (Pan troglodytes). Using 30 years of behavioral observations and network analyses, we describe a transition from cohesion to polarization in 2015 and the emergence of two distinct groups by 2018. Over the next 7 years, members of one group made 24 attacks, killing at least seven mature males and 17 infants in the other group. These findings indicate that group identities can shift and escalate into lethal hostility in one of our closest living relatives in the absence of the cultural markers often thought necessary for human warfare.
Peculiar core-collapse supernova breaks the mold with a long, dim plateau
Astronomers from the Chinese Academy of Sciences (CAS) have employed the Lijiang 2.4-m telescope to perform optical photometric and spectroscopic observations of a core-collapse Type IIP supernova designated SN 2024abfl. Results of the observational campaign, published April 2 on the arXiv, preprint server, deliver essential information regarding the origin of this peculiar supernova.