Research on Relationship between Knowledge Diffusion Rate and Enterprise Knowledge Search Breadth

From the perspective of patent, this paper constructs a theoretical model between knowledge diffusion rate and enterprise knowledge search breadth, and probes into the relationship between them. At the same time, this paper explores the adjustment functions of these variables including the technical difficulties and the market expectation .Through the analysis of the patent data，we came to the follow conclusions: the diffusion rate of knowledge has a positive effect on the breadth of enterprise knowledge search. The difficulty of technology and the degree of decentralization of innovation sources positively modulate this promotion effect. The market expects this role to be negatively regulated

Analysis and Optimization of TrueType Font Bytecode

TrueType is one of the most widely used vectorized font formats. It can be optimally rendered on screens with different resolutions and different font sizes thanks to hints expressed as bytecode programs. Font engines execute the bytecode programs to adjust the outlines of the glyphs. TrueType font bytecode is a highly-dynamic stack-based bytecode language. It manipulates data with a global stack, and it uses hardware related information, such as screen resolutions and font sizes, which are unknown at compile time. Thus, it is hard to perform static analysis and optimizations on this bytecode. Fonts are sometimes subsetted to only include the glyphs that appear in a webpage before sending to the client. Existing font manipulation techniques do not touch the bytecode, so subsetted fonts contain un-optimized bytecode programs. TrueType bytecode analysis can help reduce bandwidth demands for serving webpages. This thesis presents improvements to COI, a tool for manipulating TrueType bytecode. New features include enhanced abstract execution as well as basic optimizations on COI, such as tree shaking, no-effect instruction removal, and dead block elimination. Finally, it completes the cycle by translating the COI back to TrueType bytecode. We tested our tool on fonts from different font families, including Microsoft Core TrueType font Arial, and NotoSansTibetan-Bold. Our experiments show that our optimizations can reduce the size of bytecode by 0.37\% to 18.82\% of the test fonts in our benchmarks. On average, we can reduce the size of bytecode of our test fonts by 7.10\%. Our optimized fonts yield the same bitmaps as the original font

Collective flow and the fluid behavior in p/d/3^3He+Au collisions at sNN=200\sqrt{s_{NN}} = 200 GeV

By varying the intrinsic initial geometry, the p/d/$^3$He+Au collisions at the Relativistic Heavy Ion Collider (RHIC) provide a unique opportunity to understand the collective behavior in the small systems. In this paper, we employ the hybrid model iEBE-VISHNU with TRENTO initial conditions to study the collective flow and the fluid behavior in p/d/$^3$He+Au collisions. With fine-tuned parameters, iEBE-VISHNU can describe the $v_2(p_T)$ and $v_3(p_T)$ data from the PHENIX and STAR collaborations. However, for these parameter sets tuned to fit the STAR data, the hydrodynamic simulations have already beyond their limits with the average Knudsen number $\langle K_n \rangle$ obviously larger than one. Our calculations demonstrate that, for a meaningful evaluation of the fluid behavior in the small systems, model simulations should also pay attention to the validity range of hydrodynamics

Bibliometric and visualization analysis of research trend in mental health problems of children and adolescents during the COVID-19 pandemic

ObjectivesTo analyze the evolution of research on children and adolescents mental health issues during COVID-19 pandemic and discuss research hotspots and cutting-edge developments.MethodsThe literature obtained from the web of science core collection as of June 28, 2022, was analyzed using Citespace, VOSviewer bibliometric visualization mapping software.ResultsA total of 6,039 relevant papers were found, of which 5,594 were included in the study. The number of literatures is growing since 2020; and the country, institution, and journal publications were analyzed. The co-citation analysis shows that there are more research articles among the highly cited articles and a lack of systematic reviews that use critical thinking for review. In the cluster analysis, mental health and life change were the most representative. The timeline view of the keywords shows that Online learning (#0), Public health (#1), and Mental health (#2) are the three largest clusters and shows the change over time.ConclusionThis study helped analyze the mental health of children and adolescents during the COVID-19 pandemic and identified hot trends and shortcomings, which are important references for the theoretical basis of future research and decision making and technical guidance for systematic reviews