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    Autonomic modulation and skeletal muscle oxygenation with intermittent low-load blood flow restriction knee extension by Andrew R. Garner, Jacob D. Fanno, Ryan McGrath, Jacob Erickson, Kyle J. Hackney

    Published 2025-03-01
    “…Heart rate variability (HRV) metrics: logarithmically transformed (ln) square root of the mean differences of successive R-R intervals (lnRMSSD), high frequency power (lnHF), and low frequency power (lnLF), as well as SmO2%, and rating of perceived exertion (RPE) were measured. …”
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    Efficient and variable viscosity fracturing fluid of deep coal rock gas and popularization in ultimate volume fracturing by Bo LIN, Shuai CHEN, Xiangyang YAN, Mengqi CHEN, Liangjun DU, Heng CHEN, Hongsheng LU, Shuai SUN

    Published 2025-02-01
    “…Performance evaluation of fracturing fluid indicated that: after simulate variable shearing of 170 s−1~1 500 s−1~100 s−1 at 70 ℃, the viscosities of high viscosity fluid and middle viscosity fluid were kept 35 and 20 mPa·s respectively; The drag reduction rates of high viscosity fluid, middle viscosity fluid and low viscosity fluid can respectively reachs more than 66%, 72%, 77%, furthermore, the resistance retention rate of high viscosity fluid and middle viscosity fluid is over 100% under high shear conditions, thanks to the good shear dilution of fracturing fluid. …”
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    Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds by Mikhail Ovchinnikov, Po‐Lun Ma, Colleen M. Kaul, Kyle G. Pressel, Meng Huang, Jacob Shpund, Shuaiqi Tang

    Published 2024-10-01
    “…In this study, we evaluate the Au representation in the Energy Exascale Earth System Model version 2 (E3SMv2) climate model using large‐eddy simulations (LES), which explicitly resolve cloud droplet spectra, and therefore the local Au, as well as its spatial variability. The analysis of an ensemble of warm low‐level cloud cases shows that the E3SMv2 formulation represents the Au reasonably well compared to the horizontally averaged explicitly computed rate from LES. …”
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    The 230 GHz Variability of Numerical Models of Sagittarius A*. II. The Physical Origins of the Variability by Ho-Sang Chan, Chi-kwan Chan

    Published 2025-01-01
    “…For models with a black hole spin a  > 0, we discovered that increasing R _Low renders the photon ring more optically thick, obscuring the varying accretion flows that contribute to the variability. …”
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    On the Broadening of the Characteristic Frequency Range toward Higher Photon Energies in the X-Ray Variability of the Black Hole Transient MAXI J1820+070 by ChenXu Gao, Wenfei Yu, Zhen Yan

    Published 2025-01-01
    “…These opposite trends then imply that the power spectral plateau represents the radial extension of the accretion disk that contributed the seed photons producing the BLNs, and show that the higher the photon energy is, the wider the plateau and the smaller the fractional variability. The plateau shows the analogy to the flat power spectrum with a low fractional variability of the power-law noise seen in the high-soft state, which corresponds to photons from the entire X-ray disk.…”
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    Modeling the Energy-dependent Broadband Variability in the Black Hole Transient GX 339–4 Using AstroSat and NICER by Hitesh Tanenia, Akash Garg, Ranjeev Misra, Somasri Sen

    Published 2024-01-01
    “…Our analysis of the AstroSat and NICER spectra indicates the source to be in a low/hard state, with a photon index of ∼1.64. The power density spectra obtained from both AstroSat and NICER observations exhibit two prominent broad features at 0.22 Hz and 2.94 Hz. …”
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