Application of coffee ground-based skeleton builder with FeCl for conditions of pre-dewatered sludge toward further deep dewatering.

Skeleton builders are essential for achieving deep sludge dewatering. In this study, a novel spent coffee ground (SCG)-based skeleton builder was developed to attain deep sludge dewatering by combined conditioning with FeCl, and possible mechanisms were examined. Through different surface analysis techniques, it was demonstrated that at a pyrolysis temperature of 300 °C, the spent coffee ground biochar (SCGB-300) has an intact pore structure, a rigid carbon skeleton, and large oxygen-containing functional groups, making it the best skeleton builder for sludge dewatering.

[Analysis of acupoint-symptom relationship in ' based on complex network].

Acupoint-symptom relationship in 's was analyzed based on complex network, acupoint names and indications were extracted from the book, which provided ideas and methods for promoting the modernization of acupuncture and moxibustion by using complex network technology. A total of 112 acupoints in 201 acupuncture prescriptions were included, and the total frequency of acupoints was 880 times, forming 42 034 acupoint pairs. In terms of network indexes, compared with the complex network of comprehensive acupuncture books, such as , , formed based on the same mathematical method, the complex network model for 's shows more typical small world effect, which is characterized by higher network density (6.

Globally optimal surface mapping for surfaces with arbitrary topology.

Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental problem in computer graphics and such a method provides us a ubiquitous tool for geometric modeling and data visualization. Its vast variety of applications includes shape registration/matching, shape blending, material/data transfer, data fusion, information reuse, etc. The mapping quality is typically measured in terms of angular distortions among different shapes.

Spatial analysis of news sources.

People in different places talk about different things. This interest distribution is reflected by the newspaper articles circulated in a particular area. We use data from our large-scale newspaper analysis system (Lydia) to make entity datamaps, a spatial visualization of the interest in a given named entity.

Meshless thin-shell simulation based on global conformal parameterization.

This paper presents a new approach to the physically-based thin-shell simulation of point-sampled geometry via explicit, global conformal point-surface parameterization and meshless dynamics. The point-based global parameterization is founded upon the rigorous mathematics of Riemann surface theory and Hodge theory. The parameterization is globally conformal everywhere except for a minimum number of zero points.