No abstract

Traditional tea quality evaluation methods are based on chemical testing, such as gas chromatography‐mass spectrometry (GCMS) and high‐performance liquid chromatography (HPLC). However, the process of extracting chemical components is generally time‐consuming and expensive, which makes it unsuitable for wide range of applications. Therefore, this paper presents a new approach to evaluate tea quality based on Near‐infrared Spectroscopy (NIRS) devices. In our method, factor analysis compression algorithm is first applied to initially compress the input NIRS vectors, which are acquired from tea samples with high dimensional data. Then, random forest algorithm is employed to construct a voting strategy. More precisely speaking, we proposed a low‐cost and convenient tea quality estimation scheme that can be widely used in tea industry. The proposed approach has been verified using tea NIRS datasets which were acquired from Fujian Province. Experiments show that the proposed NIRS‐based approach significantly outperforms the GCMS‐based and HPLC‐based methods. Specially, we achieved a highly competitive performance (AP = 0.989) on the comprehensive data set that contains 869 annotated Chinese tea samples, which means that tea quality can be estimated in a convenient and cheaper way.Practical ApplicationsThe proposed tea classification approach based on artificial intelligence which lend new perspectives to tea merchants and consumers insight and decision‐making. The approach can perform preference adjustments in various conditions such as regions, crowd habits, seasons, etc.

Lung adenocarcinoma (LUAD) is a highly prevalent cancer with high mortality. Immune resistance and tumor metastasis are the pivotal factors for the promotion of LUAD. CircRNAs have been revealed a crucial pre-clinical diagnostic and therapeutic potentials in LUAD. Herein, we identify a novel circRNA (circ_0004140), derived from the oncogene YAP1, which is up-regulated in LUAD. The high expression of circ_0004140 is correlated with poor prognosis and CTL cells dysfunction in LUAD patients. Knockdown of circ_0004140 regulated LUAD cells proliferation, migration, and apoptosis. Mechanistically, circ_0004140 served as a sponge of miR-1184 targeting C-C motif chemokine ligand 22(CCL22). Overexpression of CCL22 reversed the inhibitory effect induced by si-circ_0004140 on cells proliferation and migration. Moreover, we also revealed that elevated circ_ooo4140 was related to cytotoxic lymphocyte exhaustion, and a combination therapy of C-021 (CCL22/CCR4 axis inhibitor) and anti-PD-1 attenuated LUAD promotion and immune resistance. In conclusion, circ_0004140 may drive resistance to anti-PD-1 immunotherapy, providing a novel potential therapeutic target for LUAD treatment.

Metallic zinc is an ideal anode for aqueous energy storage; however, Zn anodes suffer from nonhomogeneous deposition, low reversibility, and dendrite formation; these lead to an overprovision of zinc metal in full cells. Herein, oriented‐attachment‐regulated Zn stacking initiated through a trapping‐then‐planting process with a high zinc utilization rate (ZUR) is reported. Due to the isometric topology features of cubic‐type Prussian blue analog (PBA), the initial Zn plating occurs at specific sites with equal spacing of ≈5 Å in the direction perpendicular to the substrate; the trace amount of zinc ions trapped in tunnel matrix provides nuclei for the oriented attachment of Zn (002) deposits. As a result, the PBA‐decorated substrate delivers high reversibility of dendrite‐free zinc plating/stripping for more than 6600 cycles (1320 h) and achieves an average Coulombic efficiency (CE) of 99.5% at 5 mA cm−2 with 100% ZUR. Moreover, the anode‐limited full cell with a low negative–positive electrode ratio (N/P) of 1.2 can be operated stably for 360 cycles, displaying an energy density of 214 Wh kg−1; this greatly exceeds commercial aqueous batteries. This work provides a proof of concept design of metal anodes with a high utilization ratio and a practical method for developing high‐energy‐density batteries.