Converting beam polarizations into entanglement and classical correlation

The nonclassicality of a macroscopic single-mode optical superposition state is potentially convertible into entanglement, when the state is mixed with the vacuum on a beam splitter. Considering light beams with polarization degree of freedom in Euclidean space as coherent product states in a bipartite Hilbert space, we propose a method to convert the polarization amplitudes into entanglement and classical correlation through generating nonclassicality in the superpositions of coherent and displaced Fock states. Equivalent Bell state emerges from the resulted superpositions and the proportion of mixed entanglement and correlation, quantified by the metric pair of negativity and Schmidt number, is determined by the two displacements along the polarization directions. We further characterize the constructed states with Wigner functions and propose an experimental method for generating these states and measuring them via homodyne tomography

CTRL: Connect Tabular and Language Model for CTR Prediction

Traditional click-through rate (CTR) prediction models convert the tabular data into one-hot vectors and leverage the collaborative relations among features for inferring user's preference over items. This modeling paradigm discards the essential semantic information. Though some recent works like P5 and M6-Rec have explored the potential of using Pre-trained Language Models (PLMs) to extract semantic signals for CTR prediction, they are computationally expensive and suffer from low efficiency. Besides, the beneficial collaborative relations are not considered, hindering the recommendation performance. To solve these problems, in this paper, we propose a novel framework \textbf{CTRL}, which is industrial friendly and model-agnostic with high training and inference efficiency. Specifically, the original tabular data is first converted into textual data. Both tabular data and converted textual data are regarded as two different modalities and are separately fed into the collaborative CTR model and pre-trained language model. A cross-modal knowledge alignment procedure is performed to fine-grained align and integrate the collaborative and semantic signals, and the lightweight collaborative model can be deployed online for efficient serving after fine-tuned with supervised signals. Experimental results on three public datasets show that CTRL outperforms the SOTA CTR models significantly. Moreover, we further verify its effectiveness on a large-scale industrial recommender system

Method of Processing and an Analysis of Meshing and Contact of Circular Arc Tooth Trace Cylindrical Gears

This paper presents the investigation into the tooth profile features, meshing characteristics and the principle of forming circular arc tooth race cylindrical gears (CATT gears). Based on the meshing theory of the curvilinear gear, tooth surface equations and meshing line equations of the gears and rack shave been established. The graphical analysis of these equations shows meshing performances. The results reveal that an ideal CATT gear can mesh with each other at a line contact and the rack cutter can machine an ideal CATT gear by translational motion. A planetary gear train is proposed to be used as processing device. The device consists of one or several gear pairs and it can be fixed to multiple tools. The new device can machine ideal tooth profiles and the teeth have the same thickness in the circumferential direction. The processing results show that the device can also adjust the forming radius of the tooth trace without grades and that it performs continuous cutting without introducing imbalance into the mechanism

Managerial Efficiency in the Food and Beverage Industry in Taiwan

This study evaluates the managerial efficiency of food and beverage companies by employing the output-oriented data envelopment analysis (DEA) approach. Consequently, the input and output variables of ten Taiwanese listed food and beverage companies were collected from 2011 to 2014. Then the Mann-Whitney U test was used to examine the difference in efficiency between restaurant companies and beverage and dessert companies. The major findings are as follows: (1) An inverse relationship exists between the scale and managerial efficiencies of the food and beverage industry. (2) The Mann-Whitney U test shows that the beverage and dessert companies are statistically more efficient. The results not only offer different managerial insights into the food and beverage industry’s operating efficiency but also determine which factors have a significant and direct impact on these restaurants’ or beverage and dessert shops’ success or failure, which is the considerable contribution of this study for the service industry

High channel count and high precision channel spacing multi-wavelength laser array for future PICs

Multi-wavelength semiconductor laser arrays (MLAs) have wide applications in wavelength multiplexing division (WDM) networks. In spite of their tremendous potential, adoption of the MLA has been hampered by a number of issues, particularly wavelength precision and fabrication cost. In this paper, we report high channel count MLAs in which the wavelengths of each channel can be determined precisely through low-cost standard μm-level photolithography/holographic lithography and the reconstruction-equivalent-chirp (REC) technique. 60-wavelength MLAs with good wavelength spacing uniformity have been demonstrated experimentally, in which nearly 83% lasers are within a wavelength deviation of ±0.20 nm, corresponding to a tolerance of ±0.032 nm in the period pitch. As a result of employing the equivalent phase shift technique, the single longitudinal mode (SLM) yield is nearly 100%, while the theoretical yield of standard DFB lasers is only around 33.3%

Development of a Portable Single Photon Ionization-Photoelectron Ionization Time-of-Flight Mass Spectrometer

A vacuum ultraviolet lamp based single photon ionization- (SPI-) photoelectron ionization (PEI) portable reflecting time-of-flight mass spectrometer (TOFMS) was designed for online monitoring gas samples. It has a dual mode ionization source: SPI for analyte with ionization energy (IE) below 10.6 eV and PEI for IE higher than 10.6 eV. Two kinds of sampling inlets, a capillary inlet and a membrane inlet, are utilized for high concentration and trace volatile organic compounds, respectively. A mass resolution of 1100 at m/z 64 has been obtained with a total size of 40 × 31 × 29 cm, the weight is 27 kg, and the power consumption is only 70 W. A mixture of benzene, toluene, and xylene (BTX), SO2, and discharging products of SF6 were used to test its performance, and the result showed that the limit of quantitation for BTX is as low as 5 ppbv (S/N = 10 : 1) with linear dynamic ranges greater than four orders of magnitude. The portable TOFMS was also evaluated by analyzing volatile organic compounds from wine and decomposition products of SF6 inside of a gas-insulated switchgear

Deterministic realization of collective measurements via photonic quantum walks

Collective measurements on identically prepared quantum systems can extract more information than local measurements, thereby enhancing information-processing efficiency. Although this nonclassical phenomenon has been known for two decades, it has remained a challenging task to demonstrate the advantage of collective measurements in experiments. Here we introduce a general recipe for performing deterministic collective measurements on two identically prepared qubits based on quantum walks. Using photonic quantum walks, we realize experimentally an optimized collective measurement with fidelity 0.9946 without post selection. As an application, we achieve the highest tomographic efficiency in qubit state tomography to date. Our work offers an effective recipe for beating the precision limit of local measurements in quantum state tomography and metrology. In addition, our study opens an avenue for harvesting the power of collective measurements in quantum information processing and for exploring the intriguing physics behind this power.Comment: Close to the published versio

Acceleration effect of reduced graphene oxide on photoinduced synthesis of silver nanoparticles

The photoinduced growth reaction of silver nanoparticles was accelerated by reduced graphene oxide (RGO) produced from graphene oxide (GO) during the light irradiation process in aqueous solution. X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy demonstrated that RGO was generated in the photoinduced process. The acceleration effect of RGO was investigated through monitoring the extinction spectra of silver nanoparticles during the synthesis process. Moreover, transmission electron microscopy (TEM) was employed to characterize the evolution of morphologies of silver nanoparticles at different irradiation times to demonstrate the effect of RGO. The results indicate that RGO accelerates the photoinduced synthesis of silver nanoparticles. It is proposed that the acceleration effect of RGO on the photoinduced reaction is attributed to the particular property of high electronic conductivit

Celastrus orbiculatus Celastraceae Thunb extracts inhibit proliferation and migration of oral squamous cell carcinoma cells by blocking NF-κB pathway

Purpose: To investigate the mechanism of action of Celastrus orbiculatus extract (COE) on oral squamous carcinoma cells. Methods: Tca8113 cells were divided into negative control and three COE treatment groups, viz, 20, 40, and 80 μg/mL of COE. Succinate dehydrogenase activity assay (MTT assay) and flow cytometry were used to assess cell proliferation and apoptosis. Cell migration and invasion were assessed by Transwell chamber and wound healing assays while relative protein expression was determined by Western blot. Results: As the concentration of COE increased, the number of cells arrested in the G0/G1 phase increased (p < 0.05), expressions of cell-cycle-related proteins decreased (p < 0.001); the number of apoptotic cells increased (p < 0.001), and the rates of cell migration and invasion decreased (p < 0.001). Exogenous COE significantly inhibited p-IκBα accumulation in the cytoplasm and induced IκBα accumulation. Nuclear p65 recruitment was reduced in cells treated with COE compared to untreated control cells (p < 0.001), suggesting that the classical NF-κB pathway was blocked by COE. Conclusion: These results demonstrate that COE inhibits the proliferation and migration of oral squamous cell carcinoma cells while promoting apoptosis by blocking NF-κB pathway. These findings suggest that Celastrus orbiculatus extract possesses a potential therapeutic effect on oral squamous cell carcinoma