Angularly stable terahertz multiband LiNbO3-polymer hybrid metamaterial for microfluidic refractive index sensing.

A terahertz (THz) L i N b O 3-polymer hybrid metamaterial (LPHM) consisting of three-layer Au patterns and two medium interval layers is demonstrated, and the bulk refractive index (RI) sensing performance is also studied. The parameter optimizations and sensing performances of the LPHM are simulated by the finite-element method (FEM). The results show that the reflection or absorption spectrum of the LPHM has four peaks in the 1-10 THz band, and the peaks move toward the lower frequency when the period (P) of the LPHM or the side length (a) of the notched square frame increases but shift to the higher frequency when w 1 or w 2 increases. Moreover, the LPHM has a wide angular stability and good structural stability. The sensing performance shows that the LPHM can achieve an RI sensitivity of 11.5 µm/RIU with a detection limit (DL) of 2.9×10-4 R I U. The LPHM has potential applications in pharmacological biodevices, THz immunosensing, modern medical and clinical practices, and detection of thin films and biochemical substances, and it can be expected to realize multiphysical parameter measurements.

Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection.

We construct a new efficient near duplicate image detection method using a hierarchical hash code learning neural network and load-balanced locality-sensitive hashing (LSH) indexing. We propose a deep constrained siamese hash coding neural network combined with deep feature learning. Our neural network is able to extract effective features for near duplicate image detection. The extracted features are used to construct a LSH-based index. We propose a load-balanced LSH method to produce load-balanced buckets in the hashing process. The load-balanced LSH significantly reduces the query time. Based on the proposed load-balanced LSH, we design an effective and feasible algorithm for near duplicate image detection. Extensive experiments on three benchmark data sets demonstrate the effectiveness of our deep siamese hash encoding network and load-balanced LSH.

Effects of high-intensity focused ultrasound on cisplatin-resistant human lung adenocarcinoma in vitro and in vivo.

It is widely accepted that high-intensity focused ultrasound (HIFU) is a minimally invasive treatment option for different tumors, but its roles and the corresponding mechanism in cisplatin (DDP) chemoresistance in lung adenocarcinoma (LA) remain unclear. In this study, we investigated the response of DDP-resistant LA cells to HIFU and its underlying molecular mechanisms using molecular biology techniques. It was found that HIFU exposure inhibited the proliferation of DDP-resistant A549 (A549/DDP) cells through arresting cell cycle at the G1/G0 phase via the Cyclin-dependent pathway and promoting apoptosis in a Bcl-2-dependent manner. Furthermore, the results also showed that HIFU exposure could down-regulate the expressions of MDR1, MRP1, and LRP mRNAs, as well as P-gp, MRP1, and LRP proteins related to drug resistance in A549/DDP cells. In vivo experiments also demonstrated that HIFU could reduce the size and mass of subcutaneously transplanted tumors produced by A549/DDP cells through mediating Cyclin-dependent and Bcl-2-dependent pathways. These results suggested that HIFU treatment could inhibit the proliferation of DDP-resistant lung cancer cells and might be a novel therapeutic method for patients with DDP resistance.