Results 231 to 240 of about 490,818 (297)
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
Critical Temperature Thresholds for Identifying Vulnerability to Heat-Related Excess Cardiovascular Morbidity and Mortality. [PDF]
Graffy PM +4 more
europepmc +1 more source
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations. [PDF]
Deb M +6 more
europepmc +1 more source
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng +8 more
wiley +1 more source
Rowing across the Atlantic in an all-female team: Impact on mental health and mood changes-a cohort study. [PDF]
Scheer V +6 more
europepmc +1 more source
Mechanistic Analysis of Large Atomic Models of Molten Salt
This work uncovers the physical mechanism of large atomic models for molten salts by linking atomic contribution to electronic structure features. We demonstrate that energy predictions are physically determined by the local occupancy of frontier orbitals.
Yuliang Guo +3 more
wiley +1 more source
Global Intensity-Duration-Frequency curves based on observed sub-daily rainfall (GSDR-IDF). [PDF]
Green AC, Guerreiro SB, Fowler HJ.
europepmc +1 more source
Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki +8 more
wiley +1 more source

