6 results on '"Shi, Xiuwen"'
Search Results
2. 3D Face Reconstruction System Based on Deep Learning and Sparse Face Model
- Author
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Sun Yuge, Sun Guangmin, and Shi Xiuwen
- Subjects
Face model ,Computer science ,business.industry ,Face (geometry) ,Deep learning ,Computer vision ,Artificial intelligence ,business - Published
- 2017
3. How Do Choice of Major and Industrial Structure Influence College Graduates' Unemployment Rate In China
- Author
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Shi, Xiuwen
- Subjects
unemployment ,China ,ComputingMilieux_THECOMPUTINGPROFESSION ,Finance and Financial Management ,college graduates ,ComputingMilieux_COMPUTERSANDEDUCATION ,major - Abstract
Recently, the higher education market is developing very fast, and China’s universities and colleges are increasing their enrollment. More and more college graduates with higher education backgrounds enter the labor market and the college graduates have to face higher unemployment pressure when they find jobs. For the college graduates’ unemployment problem, many literatures and research are focusing on over-enrollment problem, the influence of the major differences, and the influence of the industrial structure development. This thesis examines the consequence of the over-enrollment problem with a group of data set and linear regressive analysis model. The finding indicates that there is not strong linear relation between the growth of total amounts of college graduates and college graduates average unemployment rate, and also the yearly growth of GDP of China. Chinese colleges and universities expand their enrollment is not unitary reason of high unemployment level of college graduates, the un-coordination between higher educational enrollment expanding pace and growth rate of economic development led to the serious situation of college graduate unemployment problem. Moreover, the thesis also gives insight on the factor of major, and explains that major is one decisive factor with strong effect on college graduates’ unemployment with data comparison and graphic displays. The findings demonstrate that major is a decisive factor with strong effect on college graduates’ unemployment. The students have significant different chance to be hired with different groups of majors. The thesis also demonstrates one of the most important reasons of college graduates’ unemployment problem, and this factor is the industrial structure. With further evidences, the findings state briefly that low technology secondary industries absorb the most of college graduates instead of the tertiary industry.
- Published
- 2015
- Full Text
- View/download PDF
4. Atomic Cobalt Metal Centers with Asymmetric N/B‐Coordination for Promoting Oxygen Reduction Reaction.
- Author
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Guan, Guangjian, Liu, Yuhang, Li, Fuhua, Shi, Xiuwen, Liu, Lingyue, Wang, Tianyu, Xu, Xueting, Zhao, Ming, Ding, Jie, and Yang, Hong Bin
- Subjects
- *
COBALT catalysts , *OXYGEN reduction , *METAL catalysts , *OXYGEN evolution reactions , *CATALYST supports , *METALS , *COBALT - Abstract
Cobalt single atom catalysts (SACs) have exhibited promising performance in both the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER), positioning them as potential dual‐functional catalysts for Zn‐air battery. However, the long‐standing challenge lies in achieving satisfactory dual‐functionality and stability of these SACs. In this study, to optimize the 4e‒ ORR performance, boron (B) atoms are employed with low electronegativity to regulate the structure of the Co–N–C catalytic center. This resulted in the formation of an asymmetrically coordinated Co metal center catalyst (Co‐N3B). Compared to the Co‐N4, Co‐N3B exhibited lower free energy for ORR and stronger adsorption energy toward *O species, effectively suppressing the 2e‒ ORR pathway at the cobalt site and preventing catalyst corrosion induced by hydrogen peroxide (H2O2) in ORR reactions, thereby enhancing catalyst stability. In situ attenuated total reflectance surface‐enhanced infrared absorption spectroscopy (ATR‐SEIRAS) further validated excellent interaction between Co active centers and O intermediates. Furthermore, the self‐made rechargeable zinc‐air battery demonstrated remarkable discharge peak power density (≈253 mW cm‒2), energy density (≈819 mAh g‒1), and cyclic stability exceeding 110 h. This study provides new insights into constructing catalysts with atomic‐level precision and offers strong references for practical applications in energy storage and convension electrocatalysts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
5. Promoting Electrochemical CO2 Reduction to Formate via Sulfur‐Assisted Electrolysis.
- Author
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Liu, Yuhang, Wei, Zhiming, Su, Xiaozhi, Shi, Xiuwen, Liu, Lingyue, Wang, Tianyu, Xu, Xueting, Zhao, Ming, Zhai, Yueming, Yang, Hong Bin, and Liu, Bin
- Abstract
Electrochemical CO2 reduction reaction (CO2RR) provides a renewable approach to transform CO2 to produce chemicals and fuels. Unfortunately, it faces the challenges of sluggish CO2 activation and slow water dissociation. This study reports the modification of Bi‐based electrocatalyst by S, which leads to a remarkable enhancement in activity and selectivity during electrochemical CO2 reduction to formate. Based on comprehensive in situ examinations and kinetic evaluations, it is observed that the presence of S species over Bi catalyst can significantly enhance its interaction with K+(H2O)n, facilitating fast dissociation of water molecules to generate protons. Further in situ attenuated total reflectance surface‐enhanced infrared absorption spectroscopy (ATR‐SEIRAS) and in situ Raman spectroscopy measurements reveal that S modification is able to decrease the oxidation state of Bi active site, which can effectively enhance CO2 activation and facilitate HCOO* intermediate formation while suppressing competing hydrogen evolution reaction. Consequently, the S‐modified Bi catalyst achieves impressive electrochemical CO2RR performance, reaching a formate Faradaic efficiency (FEformate) of 91.2% at a formate partial current density of ≈135 mA cm−2 and a potential of −0.8 V versus RHE in an alkaline electrolyte. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
6. Genetic insights of blood lipid metabolites on polycystic ovary syndrome risk: a bidirectional two-sample Mendelian randomization study.
- Author
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Wang X, Han H, Shi X, Nie X, Zhu R, Jin J, and Zhou H
- Subjects
- Humans, Female, Lipid Metabolism genetics, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Risk Factors, Polycystic Ovary Syndrome genetics, Polycystic Ovary Syndrome blood, Polycystic Ovary Syndrome metabolism, Mendelian Randomization Analysis, Genome-Wide Association Study, Lipids blood
- Abstract
Background: Pathologically, metabolic disorder plays a crucial role in polycystic ovarian syndrome (PCOS). However, there is no conclusive evidence lipid metabolite levels to PCOS risk., Methods: In this study, genome-wide association study (GWAS) genetic data for 122 lipid metabolites were used to assign instrumental variables (IVs). PCOS GWAS were derived from a large-scale meta-analysis of 10,074 PCOS cases and 103,164 controls. An inverse variance weighted (IVW) analysis was the primary methodology used for Mendelian randomization (MR). For sensitivity analyses, Cochran Q test, MR-Egger intercept, MR-PRESSO, leave-one-out analysis,and Steiger test were performed. Furthermore, we conducted replication analysis, meta-analysis, and metabolic pathway analysis. Lastly, reverse MR analysis was used to determine whether the onset of PCOS affected lipid metabolites., Results: This study detected the blood lipid metabolites and potential metabolic pathways that have a genetic association with PCOS onset. After IVW, sensitivity analyses, replication and meta-analysis, two pathogenic lipid metabolites of PCOS were finally identified: Hexadecanedioate (OR=1.85,95%CI=1.27-2.70, P =0.001) and Dihomo-linolenate (OR=2.45,95%CI=1.30-4.59, P =0.005). Besides, It was found that PCOS may be mediated by unsaturated fatty acid biosynthesis and primary bile acid biosynthesis metabolic pathways. Reverse MR analysis showed the causal association between PCOS and 2-tetradecenoyl carnitine at the genetic level (OR=1.025, 95% CI=1.003-1.048, P =0.026)., Conclusion: Genetic evidence suggests a causal relationship between hexadecanedioate and dihomo-linolenate and the risk of PCOS. These compounds could potentially serve as metabolic biomarkers for screening PCOS and selecting drug targets. The identification of these metabolic pathways is valuable in guiding the exploration of the pathological mechanisms of PCOS, although further studies are necessary for confirmation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Han, Shi, Nie, Zhu, Jin and Zhou.)
- Published
- 2024
- Full Text
- View/download PDF
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