DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

Generative model-based deep clustering frameworks excel in classifying complex data, but are limited in handling dynamic and complex features because they require prior knowledge of the number of clusters. In this paper, we propose a nonparametric deep clustering framework that employs an infinite mixture of Gaussians as a prior. Our framework utilizes a memoized online variational inference method that enables the "birth" and "merge" moves of clusters, allowing our framework to cluster data in a "dynamic-adaptive" manner, without requiring prior knowledge of the number of features. We name the framework as DIVA, a Dirichlet Process-based Incremental deep clustering framework via Variational Auto-Encoder. Our framework, which outperforms state-of-the-art baselines, exhibits superior performance in classifying complex data with dynamically changing features, particularly in the case of incremental features. We released our source code implementation at: https://github.com/Ghiara/divaComment: update supplementary material

Report on grade assessment situation of the 12 prevention and control center pilot in Sichuan Province

目的  了解疾病预防控制机构（简称疾控机构）能力建设、经费保障、运行管理等情况，探索全省疾控等级评审方法和程序。方法  组织专家按照统一的评审标准对12家试点单位在政策环境、基础条件、疾病预防控制、检验检测、健康危害相关因素、信息化建设等7大类38个指标167个参数进行现场评审。结果  机构得分最高是自贡市，考核内容得分率较低的是检验检测和健康危害因素监测与控制，创建过程中各级政府对疾控机构在人、财、物方面均有不同程度的投入，A类和B类项目开展率有所增加，制定了疾控机构三级两等的评审标准。结论  疾控机构等级评审是疾控机构标准化建设和发展的有力抓手，通过评审能发现短板、弥补不足，增强政府在卫生防病方面的主体责任意识。Objective: To understand the situation of ability construction, funds guarantee, operation management of disease control agency, trying to figure out assessment method and program for prevention and control center. Methods: According to the unified standard, evaluation experts were organized to evaluate 12 pilot units. The assessment include 7 categories, 38 indicators and 167 parameters:  the policy environment, basic conditions, disease prevention and control, inspection, health relative factors, information construction, etc. Results: Zigong scored highest in all instituions. Inspection and health hazards monitoring and control scored lower in all categories.  In the process of setting up, all levels of government have different input on personnel, property and goods to prevention and control center. The development rate of type A and type B project increased. The classification standards were produced. Conclusion: Grade assessment is important to construction and development standardization of disease control agency. The assessment can find the weakness, make up the deficiency, strengthen responsibility consciousness of the government

Bis{2-eth­oxy-6-[2-(isopropyl­ammonio)ethyl­imino­meth­yl]phenolato}dithio­cyanato­nickel(II)

In the mononuclear title complex, [Ni(NCS)2(C14H22N2O2)2], the Ni atom lies on an inversion centre. It is chelated by the phenolate O and imine N atoms from two zwitterionic Schiff base ligands, and is also coordinated by the N atoms from two thio­cyanate ligands, giving a slightly distorted octa­hedral geometry. Intra­molecular N—H⋯O and N—H⋯N hydrogen bonds are observed