EGFR-T790M and BRAF V600E are the common resistance mechanisms to EGFRtyrosine kinase inhibitors (TKIs). Standard treatment for the triple mutations of EGFR-19del, T790M, and BRAF V600E is still under debate. Herein, we present a case of therapeutic efficacy of osimertinib and dabrafenib plus trametinib on a 63-year-old man with advanced lung adenocarcinoma. This patient reached a remarkable progression-free survival of 9 months without any serious adverse reaction. At the progression of the disease, C797S mutation in cis was detected by liquid biopsy. Subsequently, brigatinib with cetuximab was administered but no curative effect was observed. Then, therapy was changed to apatinib combined with osimertinib. The subsequent CT scan showed that the lesions reached stable disease (SD), and the survival benefit has been evaluated. This case showed that the combination treatment of osimertinib and dabrafenib plus trametinib might be a great treatment option for NSCLC patients with triple mutations (EGFR-19del/T790M/BRAFV600E).
Corrective maintenance and preventive maintenance are two common maintenance strategies used in the wind farms, whose drawbacks are obvious and significant. Opportunistic maintenance strategy takes advantage of the dependencies existing among the wind turbine components and implement combined maintenance actions to reduce the huge downtime cost. The opportunistic maintenance strategy for wind turbines has made a great progress, as well as the strategy considering imperfect and condition-based maintenance. However, existing maintenance strategy researches are usually concerned with the maintenance itself and the effects of power generation are barely considered. Nowadays, a current research trend in manufacturing system is the integration of maintenance and production planning. In this paper, the effects of power generation on opportunistic maintenance strategy for wind turbines considering reliability are researched. The opportunistic maintenance reliability threshold is not constant and depends on the real-time power generation. Numerical examples are used to illustrate the economical advantages of this proposed strategy over traditional opportunistic maintenance strategy. Moreover, the optimal maintenance combination is also provided.
The dust deposited on a photovoltaic (PV) surface decreases the photoelectric efficiency of a module, leading to potential security risks. A few studies have demonstrated that condensation affects dust accumulation on PV surfaces; however, the mechanism remains unclear. Therefore, this study investigated the effects of dust agglomeration dynamic factors on PV surfaces using micro-experiments and mechanical analysis. An experimental platform for dust particle agglomeration due to condensation was designed and developed, and microscopic experiments were conducted to study the dust particle agglomeration process on the PV panel surface. The particles on the hydrophilic PV surface were confirmed to agglomerate owing to condensation. The particle agglomeration process on the hydrophilic PV surface primarily entails three typical processes that occur sequentially: fusion between droplets, fusion between the semi-submerged particles and droplets, and agglomeration between semi-submerged particles. The particles agglomerated on the hydrophilic PV surfaces have a tiled morphology. An analysis of the particle agglomeration mechanism on the hydrophilic PV surface due to condensation was performed. Water surface tension was identified as the main dynamic factor leading to particle agglomeration during condensation. The results provide theoretical guidance for reducing the dust deposited on PV surfaces.
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