The pseudocomplementedness of modular lattices and its applications in groups

In this article, we first investigate pseudocomplemented inductive modular lattices by using their a finite number of 0-sublattices. Then we use a finite number of the 0-sublattices of a subgroup lattice to describe all locally cyclic abelian groups. The results show us that a locally cyclic abelian group can be characterized by its three number of subgroups.Comment:

Investigation of a Side-polished Fiber MZI and Its Sensing Performance

A novel all-fiber Mach–Zehnder interferometer (MZI), which consists of lateral core fusion splicing of a short section of side-polished single mode fiber (SMF) between two SMFs was proposed and demonstrated. A simple fiber side-polished platform was built to control the side polished depth through a microscope. The sensitivity of the fiber MZI structure to the surrounding refractive index (RI) can be greatly improved with the increase of the side-polished depth, but has no effect on the temperature sensitivity. The sensor with a polished depth of 44.2 μm measured RI sensitivity up to -118.0 nm/RIU (RI unit) in the RI range from 1.333 to 1.387, which agrees well with simulation results by using the beam propagation method (BPM). In addition, the fiber MZI structure also can achieve simultaneous measurement of both RI and temperature. These results show its potential for use in-line fiber type sensing application

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search

Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.g. FastText) is widely used for efficient online inference. However, the representation ability of the FastText model is insufficient, resulting in poor classification performance, especially on some low-frequency queries and tailed categories. Using a deeper and more complex model (e.g. BERT) is an effective solution, but it will cause a higher online inference latency and more expensive computing costs. Thus, how to juggle both inference efficiency and classification performance is obviously of great practical importance. To overcome this challenge, in this paper, we propose knowledge condensation (KC), a simple yet effective knowledge distillation framework to boost the classification performance of the online FastText model under strict low latency constraints. Specifically, we propose to train an offline BERT model to retrieve more potentially relevant data. Benefiting from its powerful semantic representation, more relevant labels not exposed in the historical data will be added into the training set for better FastText model training. Moreover, a novel distribution-diverse multi-expert learning strategy is proposed to further improve the mining ability of relevant data. By training multiple BERT models from different data distributions, it can respectively perform better at high, middle, and low-frequency search queries. The model ensemble from multi-distribution makes its retrieval ability more powerful. We have deployed two versions of this framework in JD search, and both offline experiments and online A/B testing from multiple datasets have validated the effectiveness of the proposed approach

Phenomenological study of J/ψ→Ξ0(Λπ0)Ξˉ0(Λˉγ)J/\psi\to\Xi^0(\Lambda \pi^0) \bar{\Xi}^0(\bar{\Lambda} \gamma) decays

The measurement of decay parameters is one of the important goals of particle physics experiments, and the measurement serves as a probe to search for evidence of CP violation in baryonic decays. The experimental results will help advance existing theoretical research and establish new experimental objectives. In this paper, we formulate the asymmetric parameters that characterize parity violation, and then derive formulas for the measurement of CP violation. The formulae for the joint angular distribution of the full decay chain as well as the polarization observable of $\Xi ^ 0$, $\bar { \Xi } ^ 0$, $\Lambda$ and $\bar { \Lambda }$ are also provided for experiments. Lastly, we evaluated the sensitivity of two asymmetric parameters: $\alpha _ { \Xi ^ 0 \to \Lambda \pi ^ 0 }$ (abbreviated as $\alpha _ { \Xi ^ 0 }$) and $\alpha _ { \bar { \Xi } ^ 0 \to \bar { \Lambda } \gamma }$ (abbreviated as $\alpha_ {\bar{\Xi}^0 }$) for future experimental measurement.Comment: 8 pages, 5 figure

Development of compress air transportation (CAT) for alternative energy utilization

Compress Air Transportation (CAT) is a new concept of transportation that utilizes air as the source of energy. Work on alternative power system for vehicle is becoming very important for the future due to combination of high prices on fuel, emission factor and also the source of the current energy will eventually run out. Several advantages for utilizing air as the source of energy compared to other alternative energy sources makes it become the subject for this project. In this project, a simple transportation utilizing air as the source of energy has been developed. The main component of the engine of the CAT is a device called the "Air Impact Wrench" which can be purchased from local stores. The CAT was tested and analyzed for further studies on expanding this new technology