e-wind: An Integrated Engineering Solution Package for Wind Sensitive Buildings and Structures
This article introduces "e-wind" program that is currently under development at Wind Engineering Research Center at Tamkang University. e-wind is an effort to integrate the available wind engineering tools, such as wind code, aerodynamic database and ...
Cheng, Chii-ming; Wang, Jenmu; Chang, Cheng-hsin
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Simulation Model of Wind and Wave-Induced Doppler Shifts for Multi-Band Radars and Its Application in SAR-Based Ocean Current Inversion. [PDF]
Guan Z, Zhang Y, Chu X.
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ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
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Effects of Stubble Height and Mulching on Wind Erosion in Maize-Peanut Intercropping Farmland. [PDF]
Zeng P +12 more
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The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang +12 more
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Coordinated satellite, aircraft, and ground-based observations of a large transient methane release. [PDF]
He TL +19 more
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High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
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From Detection toward Mitigation: A Critical Review of Artificial Intelligence and Machine Learning for Methane Emissions Reduction. [PDF]
Luo R, Gates I.
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
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An Integrated Field Protocol for Multi-taxon Biodiversity Surveys in African Rangeland Ecosystems. [PDF]
Jenkins E +14 more
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