980 research outputs found
Harnessing LSTM for Nonlinear Ship Deck Motion Prediction in UAV Autonomous Landing amidst High Sea States
Autonomous landing of UAVs in high sea states requires the UAV to land
exclusively during the ship deck's "rest period," coinciding with minimal
movement. Given this scenario, determining the ship's "rest period" based on
its movement patterns becomes a fundamental prerequisite for addressing this
challenge. This study employs the Long Short-Term Memory (LSTM) neural network
to predict the ship's motion across three dimensions: longi-tudinal,
transverse, and vertical waves. In the absence of actual ship data under high
sea states, this paper employs a composite sine wave model to simulate ship
deck motion. Through this approach, a highly accurate model is established,
exhibiting promising outcomes within various stochastic sine wave combination
models.Comment: 11 pages, 7 figures, accept by ICANDVC202
The mechanism and application of traditional Chinese medicine extracts in the treatment of lung cancer and other lung-related diseases
Lung cancer stands as one of the most prevalent malignancies worldwide, bearing the highest morbidity and mortality rates among all malignant tumors. The treatment of lung cancer primarily encompasses surgical procedures, radiotherapy, and chemotherapy, which are fraught with significant side effects, unfavorable prognoses, and a heightened risk of metastasis and relapse. Although targeted therapy and immunotherapy have gradually gained prominence in lung cancer treatment, diversifying the array of available methods, the overall recovery and survival rates for lung cancer patients remain suboptimal. Presently, with a holistic approach and a focus on syndrome differentiation and treatment, Traditional Chinese Medicine (TCM) has emerged as a pivotal player in the prognosis of cancer patients. TCM possesses characteristics such as targeting multiple aspects, addressing a wide range of concerns, and minimizing toxic side effects. Research demonstrates that Traditional Chinese Medicine can significantly contribute to the treatment or serve as an adjunct to chemotherapy for lung cancer and other lung-related diseases. This is achieved through mechanisms like inhibiting tumor cell proliferation, inducing tumor cell apoptosis, suppressing tumor angiogenesis, influencing the cellular microenvironment, regulating immune system function, impacting signal transduction pathways, and reversing multidrug resistance in tumor cells. In this article, we offer an overview of the advancements in research concerning Traditional Chinese Medicine extracts for the treatment or adjunctive chemotherapy of lung cancer and other lung-related conditions. Furthermore, we delve into the challenges that Traditional Chinese Medicine extracts face in lung cancer treatment, laying the foundation for the development of diagnostic, prognostic, and therapeutic targets
Nonlinear current response of two-dimensional systems under in-plane magnetic field
We theoretically investigate the nonlinear response current of a
two-dimensional system under an in-plane magnetic field. Based on the extended
semiclassical theory, we develop a unified theory including both longitudinal
and transverse currents and classify contributions according to their scaling
with the relaxation time. Besides time-reversal-even contributions, we reveal a
previously unknown time-reversal-odd contribution to the Hall current, which
occurs in magnetic systems, exhibits band geometric origin, and is linear in
relaxation time. We show that the different contributions exhibit different
symmetry characters, especially in their angular dependence on the field
orientation, which can be used to distinguish them in experiment. The theory is
explicitly demonstrated in the study of the Rashba model. Our work presents a
deepened understanding of nonlinear planar transport, proposes approaches to
distinguish different contributions, and sheds light on possible routes to
enhance the effect in practice.Comment: 10 pages, 6 figure
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