White-light crosslinkable milk protein bioadhesive with ultrafast gelation for first-aid wound treatment

Zhu Qinchao,Zhou Xuhao,Zhang Yanan,Ye Di,Yu Kang,Cao Wangbei,Zhang Liwen,Zheng Houwei,Sun Ziyang,Guo Chengchen,Hong Xiaoqian,Zhu Yang,Zhang Yajun,Xiao Ying,Valencak Teresa G.,Ren Tanchen,Ren Daxi 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Background : Post-traumatic massive hemorrhage demands immediately available first-aid supplies with reduced operation time and good surgical compliance. In-situ crosslinking gels that are flexibly adapting to the wound shape have a promising potential, but it is still hard to achieve fast gelation, on-demand adhesion, and wide feasibility at the same time. Methods : A white-light crosslinkable natural milk-derived casein hydrogel bioadhesive is presented for the first time. Benefiting from abundant tyrosine residues, casein hydrogel bioadhesive was synthesized by forming di-tyrosine bonds under white light with a ruthenium-based catalyst. We firstly optimized the concentration of proteins and initiators to achieve faster gelation and higher mechanical strength. Then, we examined the degradation, cytotoxicity, tissue adhesion, hemostasis, and wound healing ability of the casein hydrogels to study their potential to be used as bioadhesives. Result : Rapid gelation of casein hydrogel is initiated with an outdoor flashlight, a cellphone flashlight, or an endoscopy lamp, which facilitates its usage during first-aid and minimally invasive operations. The rapid gelation enables 3D printing of the casein hydrogel and excellent hemostasis even during liver hemorrhage due to section injury. The covalent binding between casein and tissue enables robust adhesion which can withstand more than 180 mmHg blood pressure. Moreover, the casein-based hydrogel can facilitate post-traumatic wound healing caused by trauma due to its biocompatibility. Conclusion : Casein-based bioadhesives developed in this study pave a way for broad and practical application in emergency wound management.

Systematic Review of Single Large and/or Multinodular Hepatocellular Carcinoma: Surgical Resection Improves Survival

Yang, Xiang-Di,Pan, Ling-Hui,Wang, Lin,Ke, Yang,Cao, Ji,Yang, Chun,Zhong, Jian-Hong,Luo, Wang,Guo, Jiao,Li, Le-Qun Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.13

Background: The role of surgical resection for patients with single large (${\geq}5cm$) and/or multinodular (${\geq}2$) hepatocellular carcinoma (HCC) is still controversial. This systematic review was performed to evaluate the safety and efficacy of resection for patients with single large and/or multinodular HCC. Materials and Methods: Databases (the PubMed, Web of Science, Embase, and Cochrane databases) were systematically searched to identify relevant studies exploring the safety and efficacy of resection for single large and/or multinodular HCC, published between January 2000 and December 2014. Perioperative morbidity and mortality, overall survival, and disease-free survival of the resection group were calculated. In addition, these outcome variables were also calculated for the control group in the included studies. Results: One randomized controlled trial and 42 nonrandomized studies involving 9,580 patients were eligible for analysis. Eight (1,594 patients) of the 43 studies also reported the outcomes of transarterial chemoembolization (TACE). Although 51.4% of patients featured cirrhosis, 90.7% of them demonstrated Child-Pugh A liver function in the resection group. The median rates of morbidity (24.5%) and mortality (2.5%) after resection were significantly higher than that of TACE (11.0%, P<0.001; 1.9%, P<0.001). However, patients who underwent resection had significantly higher median one-, three-, and five-year overall survival (76.1%, 51.7%, and 37.4%) than those who underwent TACE (68.3%, 31.5%, and 17.5%, all P<0.001). The median 1-, 3-, and 5-year DFS rates after resection were 58.3%, 34.6%, and 24.0%, respectively. Conclusions: Although tumor recurrence after resection for patients with single large and/ or multinodular HCC continues to be a major problem, resection should be considered as a strategy to achieve long-term survival.

Association of a miR-502-Binding Site Single Nucleotide Polymorphism in the 3'-Untranslated Region of SET8 and the TP53 Codon 72 Polymorphism with Cervical Cancer in the Chinese Population

Yang, Shao-Di,Cai, Yan-Lin,Jiang, Pei,Li, Wen,Tang, Jian-Xin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.16

Objective: This study was conducted to identify whether polymorphic variants of set domain-containing protein 8 (SET8) and tumor protein p53 (TP53) codon 72, either independently or jointly, might be associated with increased risk for cervical cancer. Methods: We genotyped SET8 and TP53 codon 72 polymorphisms of peripheral blood DNA from 114 cervical cancer patients and 200 controls using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and direct DNA sequencing. Results: The frequency of SET8 CC (odds ratios (OR) = 2.717, 95% CI=1.436-5.141) or TP53 GG (OR=2.168, 95% CI=1.149-4.089) genotype was associated with an increased risk of cervical cancer on comparison with the SET8 TT or TP53 CC genotypes, respectively. In additional, interaction between the SET8 and TP53 polymorphisms increased the risk of cervical cancer in a synergistic manner, with the OR being 9.913 (95% CI=2.028-48.459) for subjects carrying both SET8 CC and TP53 GG genotypes. Conclusion: These data suggest that there are significant associations between the miR-502-binding site SNP in the 3'-UTR of SET8 and the TP53 codon 72 polymorphism with cervical cancer in Chinese, and there is a gene-gene interaction.

Multivariate Analysis of the Prognosis of 37 Chondrosarcoma Patients

Yang, Zheng-Ming,Tao, Hui-Min,Ye, Zhao-Ming,Li, Wei-Xu,Lin, Nong,Yang, Di-Sheng Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.4

Objective: The current study aimedto screen for possible factors which affect prognosis of chondrosarcoma. Methods: Thirty seven cases were selected and analyzed statistically. The patients received surgical treatment at our hospital between December 2005 and March 2008. All of them had complete follow-up data. The survival rates were calculated by univariate analysis using the Kaplan-Meier method and tested by Log-rank. ${\chi}^2$ or Fisher exact tests were carried out for the numeration data. The significant indexes after univariate analysis were then analyzed by multivariate analysis using COX regression model. Based on the literature, factors of gender, age, disease course, tumor location, Enneking grades, surgical approaches, distant metastasis and local recurrence were examined. Results: Univariate analysis showed that there were significant differences in Enneking grades, surgical approaches and distant metastasis related to the patients' 3-year survival rate after surgery (P<0.001). No significant difference was not found in gender, age, disease course, tumor location or local recurrence (P>0.05). Multivariate analysis showed that Enneking grade (P=0.007) and surgical approaches (P=0.010) were independent factors affecting the prognosis of chondrosarcoma, but distant metastasis was not (P=0.942). Conclusion: Enneking grades, surgical approaches and distant metastasis are risk factors for prognosis of chondrosarcoma, among which the former two are independent factors.

Prevalence of Hymenolepis nana and H. diminuta from Brown Rats (Rattus norvegicus) in Heilongjiang Province, China

Di Yang,Wei Zhao,Yichi Zhang,Aiqin Liu 대한기생충학열대의학회 2017 The Korean Journal of Parasitology Vol.55 No.3

사용자 경험을 기반으로 한 도서관 공공공간디자인에 관한 연구

양디 ( Yang Di ),배개강 ( Pei Kai Qiang ),첨초비 ( Zhan Chao Bi ),리밍샤 ( Li Ming Xia ) 한국기초조형학회 2022 한국기초조형학회 학술발표논문집 Vol.2022 No.2

Subsidy Program Evaluation based on Rough Set

Ai-Min Yang,Wen-Rui Wu,Di Zhang,Xing-Jun Luo,Yang Han 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11

Taxi subsidy program established is reasonable or not is one important step to research the "taxi difficult" issue in today's society. In this paper, we analyze the correlation of the three indicators and 15 factors, get the correlation between the index and its influencing factors, then reuse roughset preliminary screening for data factors, combined factor analysis to obtain the final subsidy program evaluation model. Substituted into the value of the three indicators before and after subsidies respectively, obtained the evaluation value before andafter the subsidy. Q1, Q2, andQ1Q2, the subsidy program for "ease taxi difficult" has some help.

Research on Crash Recovery Strategy for Distribution Network Containing DG

Di Bai,Tieyan Zhang,Zheng Yang 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3

In order to fully utilize DG and improve system reliability, the author puts forward the rash recovery strategy for distribution network with DG. It adopts the heuristic method by taking DG as the source point of research for distribution network power recovery. Based on simplifying the network through improving branch method with the consideration of purposes of network damage to minimum extent and switch action time, it conducts reconstruction after the crash. It optimizes the power supply recovery strategy according to the load transfer condition after the crash in order to minimize the damage to distribution network caused by blackout. It conducts example test at IEEE33 node and IEEE69 node to verify the validity of this scheme.

TRANSFER PROPERTIES OF GORENSTEIN HOMOLOGICAL DIMENSION WITH RESPECT TO A SEMIDUALIZING MODULE

Di, Zhenxing,Yang, Xiaoyan Korean Mathematical Society 2012 대한수학회지 Vol.49 No.6

The classes of $G_C$ homological modules over commutative ring, where C is a semidualizing module, extend Holm and J${\varnothing}$gensen's notions of C-Gorenstein homological modules to the non-Noetherian setting and generalize the classical classes of homological modules and the classes of Gorenstein homological modules within this setting. On the other hand, transfer of homological properties along ring homomorphisms is already a classical field of study. Motivated by the ideas mentioned above, in this article we will investigate the transfer properties of C and $G_C$ homological dimension.

Evaluation of Public Servant Execution Based on Data Mining Technique and Multiple Factors Joint Modeling Analysis

Yang Du,Wenbin Chen,Di Cheng 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.1

With the rapid development of computer science and technology, data mining modelling techniques have emerged and rapidly developed as an alternative powerful meta-learning tool to accurately and fast analyze the massive volume of data generated by modern applications. The combination of data analysis technique and evaluation of public servant execution is urgently needed. Improve the execution of public servants at the grass-roots level is one of the important link to strengthen the construction of authority administrative efficiency of administrative goals is very important. Enhance the execution must first cultivate advanced concept, armed with advanced execution concept to the vast number of public servants at the grass-roots level. The assessment of public execution has a lot of traditional methods and models can be used but there is limitation. The limitation could be concluded as the following. Carelessness or poor sensitivity, At the grassroots level, the implementation of the main body of the general public servants at the grass-roots level and they can perform in place, one of the important factor is whether the leader on the work division of labor, organization, management and supervision effectively. In this paper, we conduct research on evaluation of public servant execution based on data mining technique and joint modeling analysis of multiple factors under big data environment. Firstly, we introduce some state-of-the-art clustering algorithm to serve as the basis of our model. Combined with deep neural network and optimization modelling, we propose our support vector machine based data clustering algorithm through multiple factor modelling. Subsequently, we discuss the principles on evaluation of public servant execution and process management. In the experimental part, we conduct experiment on both data clustering based data pre-processing step and the evaluation of elements’ weight for process management. The result indicates the most important factor for management and the feasibility and effectiveness of our proposed clustering method. Future potential research areas are also discussed in the final Section.