Analysis of Ophthalmic Examination Results of 7364 Cases in Kunming Regional Health Management Center

Objective To understand the distribution of eye diseases in the tested population, and to provide a reference basis for the prevention, diagnosis and treatment of eye diseases. Methods A total of 7, 364 patients in the Health Management Center from June 2022 to September 2022 underwent eye examination, and the statistical analysis of their eye examination results was conducted by retrospective analysis. Results Of the 7, 364 patients, 6, 202 cases(84. 22%) had a history of eye disease or eye surgery, and the top five eye diseases were refractive error(75. 35%), cataract(18. 06%), pterygium(4. 09%), pinguecula(3. 57%), fundus tigre(2. 70%). Conclusion In the tested population, the prevalence of refractive error was the highest, followed by cataract, pterygium and so on in men Blebral spot, ptosis. More cataracts and fundus arteriosclerosis, and more women suffer from corneal diseases and trichiasis. There is no obvious difference between men and women, and middle-aged and elderly people have a higher probability of cataract and fundus diseases

Zeolite MFI Membranes Towards Industrial Applications

University of Minnesota Ph.D. dissertation. November 2020. Major: Material Science and Engineering. Advisor: Michael Tsapatsis. 1 computer file (PDF); xvii, 135 pages.Zeolite membranes have been the interest of research for decades due to their potentials in various separation applications including gas separation, water purification, pervaporation, etc. Among the zeolite materials studied, MFI zeolite (Silicalite-1 and ZSM-5) is one of the major subjects of research, mainly because of its suitability for the separation of hydrocarbons, such as n-butane from iso-butane and para-xylene from its isomers. Besides, all-silica Silicalite-1 and high-silica ZSM-5 have been explored for organic/water pervaporation as well by utilizing their high hydrophobicity. Despite years of research efforts on these applications, the industrialization of MFI membranes has not been achieved. One reason is that the cost associated with the fabrication of these membranes is too high to be commercially attractive. The high-cost, specially engineered silica membrane supports account for a major share of the total cost. Alternative supports such as polymeric supports and low-cost and commercially available alumina supports are possible substitutes to explore. Another problem is the lack of demonstration of high membrane separation performance at industrially relevant conditions (high temperature and high pressure). It is thus the goal of this thesis to address these problems and make progress towards the commercialization of MFI membranes. First, the recent advances of MFI zeolite membranes were reviewed. Then, the fabrication of high-performance MFI membranes using aqueous dispersions of open-pore, two-dimensional MFI zeolite nanosheets on low-cost polymeric substrates was demonstrated. Next, progress towards making MFI membranes on alumina supports has been made. Despite these efforts to use other supports, we failed to make high-performance membranes as comparable to the silica-supported ones. Besides these efforts, ultra-thin MFI membranes fabricated using dc-5 nanosheets as seeds were showed to have high xylene isomer separation performance at industrial conditions and high performance for H2/hydrocarbons separation and ammonia/H2/N2 separation. These works demonstrated the potential of high-performance MFI membranes for energy-efficient separation processes in industrial conditions

Progress and prospects of data-driven stock price forecasting research

With the rapid development of social economy and the continuous improvement of stock market, stock investment has become more and more widely concerned. Stock price prediction has become an important research direction in the field of cognitive computing in engineering. Data-driven stock price forecasting aims to predict future stock price trends based on historical values and textual data, which can effectively help people reduce risks and improve returns in the process of stock investment. The article reviews the literature on stock price forecasting methods, and classifies stock price forecasting methods from two different perspectives of model and feature. According to different model angles, the existing stock price prediction methods can be divided into statistical analysis methods, traditional machine learning methods and deep learning methods. According to different characteristic angles, the existing stock price prediction methods can be divided into those based on numerical data and those based on text mixed with numerical data. Finally, we summarize the research challenges faced by stock price prediction and provide future research directions

Few-Unit-Cell MFI Zeolite Synthesized using a Simple Di-quaternary Ammonium Structure-Directing Agent.

Synthesis of a pentasil-type zeolite with ultra-small few-unit-cell crystalline domains, which we call FDP (few-unit-cell crystalline domain pentasil), is reported. FDP is made using bis-1,5(tributyl ammonium) pentamethylene cations as structure directing agent (SDA). This di-quaternary ammonium SDA combines butyl ammonium, in place of the one commonly used for MFI synthesis, propyl ammonium, and a five-carbon nitrogen-connecting chain, in place of the six-carbon connecting chain SDAs that are known to fit well within the MFI pores. X-ray diffraction analysis and electron microscopy imaging of FDP indicate ca. 10 nm crystalline domains organized in hierarchical micro-/meso-porous aggregates exhibiting mesoscopic order with an aggregate particle size up to ca. 5 μm. Al and Sn can be incorporated into the FDP zeolite framework to produce active and selective methanol-to-hydrocarbon and glucose isomerization catalysts, respectively

Few-Unit-Cell MFI Zeolite Synthesized using a Simple Di-quaternary Ammonium Structure-Directing Agent.

Synthesis of a pentasil-type zeolite with ultra-small few-unit-cell crystalline domains, which we call FDP (few-unit-cell crystalline domain pentasil), is reported. FDP is made using bis-1,5(tributyl ammonium) pentamethylene cations as structure directing agent (SDA). This di-quaternary ammonium SDA combines butyl ammonium, in place of the one commonly used for MFI synthesis, propyl ammonium, and a five-carbon nitrogen-connecting chain, in place of the six-carbon connecting chain SDAs that are known to fit well within the MFI pores. X-ray diffraction analysis and electron microscopy imaging of FDP indicate ca. 10 nm crystalline domains organized in hierarchical micro-/meso-porous aggregates exhibiting mesoscopic order with an aggregate particle size up to ca. 5 μm. Al and Sn can be incorporated into the FDP zeolite framework to produce active and selective methanol-to-hydrocarbon and glucose isomerization catalysts, respectively