Aberrant topological organization of whole-brain networks has been inconsistently reported in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data sample of MDD patients from the REST-meta-MDD Project, including 821 MDD patients and 765 normal controls (NCs) from 16 sites. Using the Dosenbach 160 node atlas, we examined whole-brain functional networks and extracted topological features (e.g., global and local efficiency, nodal efficiency, and degree) using graph theory-based methods. Linear mixed-effect models were used for group comparisons to control for site variability; robustness of results was confirmed (e.g., multiple topological parameters, different node definitions, and several head motion control strategies were applied). We found decreased global and local efficiency in patients with MDD compared to NCs. At the nodal level, patients with MDD were characterized by decreased nodal degrees in the somatomotor network (SMN), dorsal attention network (DAN) and visual network (VN) and decreased nodal efficiency in the default mode network (DMN), SMN, DAN, and VN. These topological differences were mostly driven by recurrent MDD patients, rather than first-episode drug naive (FEDN) patients with MDD. In this highly powered multisite study, we observed disrupted topological architecture of functional brain networks in MDD, suggesting both locally and globally decreased efficiency in brain networks.

No abstract

Under the background that solid wastes have been produced and increased continuously, how to change waste into treasure has become an important research topic to achieve sustainable development. Based on a cooperating project with an enterprise, the production technology and key equipments for ceramsite produced from coal fly ash and clay have been studied which is of great significance not only to carry out the industrial solid waste disposal and make best use of resource but also to guide the running of the production line.

The vortex-induced vibration and heat transfer of circular cylinders at low Reynolds number (Re=50~180) was numerical analyzed. The cylinder motion was modeled by a mass-spring-damper system, and the motion equation of the cylinder was solved by Newmark-β method, and then the cylinder velocity was written into the UDF of Fluent, finally, the dynamic mesh technique was used to solve the coupling between the cylinder and flow. The results including “Lock-on” and “Beat” phenomena were obtained, and the effect of mass ration on "Lock-on" was analyzed, furthermore, the influence of vortex-induced vibration on convective heat transfer was also discussed.

In this paper, in considering the influence of interaction and material decomposition, the generation of NOx inside the rotary kiln and precalciner, which are the main NOx emission equipments in cement production process, are simulated by CFD technology, and the results is tally with the actual situation. This shows that numerical simulation can be a very good guidance on NOx emission reduction technology and staged-combustion precalciner structure design, and we can design and optimize the NOx emission reduction scheme based on numerical simulation to achieve the purpose of reducing NOx pollution in cement production.