Results 101 to 110 of about 48,500 (264)

Resource and seasonality drive interspecific variability in simulations from a dynamic energy budget model. [PDF]

Conserv Physiol, 2023
Mariño J, Dufour SC, Hurford A, Récapet C.   +3 more
europepmc   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Energy fluxes and vertical heat transfer in the Southern Baltic Sea

Frontiers in Marine Science
IntroductionThis study investigates the dynamics of energy fluxes and vertical heat transfer in the Southern Baltic Sea, emphasizing the significant role of the dicothermal layer in modulating the penetration of the thermocline and the propagation rates ...
Daniel Rak, Anna Przyborska, Anna I. Bulczak, Lidia Dzierzbicka-Głowacka   +3 more
doaj   +1 more source

Continuous observations of the surface energy budget and meteorology over the Arctic sea ice during MOSAiC. [PDF]

Sci Data, 2023
Cox CJ, Gallagher MR, Shupe MD, Persson POG, Solomon A, Fairall CW, Ayers T, Blomquist B, Brooks IM, Costa D, Grachev A, Gottas D, Hutchings JK, Kutchenreiter M, Leach J, Morris SM, Morris V, Osborn J, Pezoa S, Preußer A, Riihimaki LD, Uttal T.   +21 more
europepmc   +1 more source

Energy Budget [PDF]

Nature, 1971
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Efficiency of Electromagnetic Energy Transfer From Solar Wind to Ionosphere Through Magnetospheric Ultra‐Low Frequency Waves

Geophysical Research Letters
Ultra‐low frequency (ULF) waves are a ubiquitous carrier of energy in geospace. However, their efficiency in transferring solar wind energy into the upper atmosphere remains a fundamental and not well‐understood question.
Dong Lin, Michael Hartinger, William Lotko, Wenbin Wang, Xueling Shi, Kareem Sorathia, Bharat Kunduri, Viacheslav Merkin, Kevin Pham, Michael Wiltberger   +9 more
doaj   +1 more source

Vegetation type is an important predictor of the arctic summer land surface energy budget. [PDF]

Nat Commun, 2022
Oehri J, Schaepman-Strub G, Kim JS, Grysko R, Kropp H, Grünberg I, Zemlianskii V, Sonnentag O, Euskirchen ES, Reji Chacko M, Muscari G, Blanken PD, Dean JF, di Sarra A, Harding RJ, Sobota I, Kutzbach L, Plekhanova E, Riihelä A, Boike J, Miller NB, Beringer J, López-Blanco E, Stoy PC, Sullivan RC, Kejna M, Parmentier FW, Gamon JA, Mastepanov M, Wille C, Jackowicz-Korczynski M, Karger DN, Quinton WL, Putkonen J, van As D, Christensen TR, Hakuba MZ, Stone RS, Metzger S, Vandecrux B, Frost GV, Wild M, Hansen B, Meloni D, Domine F, Te Beest M, Sachs T, Kalhori A, Rocha AV, Williamson SN, Morris S, Atchley AL, Essery R, Runkle BRK, Holl D, Riihimaki LD, Iwata H, Schuur EAG, Cox CJ, Grachev AA, McFadden JP, Fausto RS, Göckede M, Ueyama M, Pirk N, de Boer G, Bret-Harte MS, Leppäranta M, Steffen K, Friborg T, Ohmura A, Edgar CW, Olofsson J, Chambers SD.   +73 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Parsing the Kinetic Energy Budget of the Ocean Surface Mixed Layer. [PDF]

Geophys Res Lett, 2022
Zippel SF, Farrar JT, Zappa CJ, Plueddemann AJ.   +3 more
europepmc   +1 more source