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Institution

Tongji University

EducationShanghai, China
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.


Papers
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Journal ArticleDOI
TL;DR: The improved PbO(2) electrode exhibits a similar morphology, surface wetting ability, high OEP, and electrochemical performance with boron-doped diamond film (BDD) electrode, however, the physical resistance of the Pb omitting electrode is much lower than that of BDD, exhibiting higher conductivity.
Abstract: A novel PbO2 electrode with a high oxygen evolution potential (OEP) and excellent electrochemical oxidation performance is prepared to improve the traditional PbO2 electrode, which is modified by changing the microstructure and wetting ability. A middle layer of TiO2 nanotubes (NTs) with a large surface area is introduced on Ti substrate, and a small amount of Cu is predeposited at the bottom of TiO2−NTs. The modification will improve the electrochemical performance by enhancing the loading capacity of PbO2 and the combination between PbO2 and Ti substrate. The hydrophilic surface becomes highly hydrophobic by adding fluorine resin. The improved PbO2 electrode exhibits a similar morphology, surface wetting ability, high OEP, and electrochemical performance with boron-doped diamond film (BDD) electrode. However, the physical resistance of the PbO2 electrode is much lower than that of BDD, exhibiting higher conductivity. The hydroxyl radical utilization is significantly enhanced, resulting in a higher oxida...

205 citations

Journal ArticleDOI
TL;DR: In this article, a tumor originates from a normal cell that has undergone tumorigenic transformation as a result of genetic mutations, and the transformed cell is the cell-of-origin for the tumor.
Abstract: A tumor originates from a normal cell that has undergone tumorigenic transformation as a result of genetic mutations. This transformed cell is the cell-of-origin for the tumor. In contrast, an established clinical tumor is sustained by subpopulations of self-renewing cancer cells operationally called cancer stem cells (CSC) that can generate, intraclonally, both tumorigenic and nontumorigenic cells. Identifying and characterizing tumor cell-of-origin and CSCs should help elucidate tumor cell heterogeneity, which, in turn, should help understand tumor cell responses to clinical treatments, drug resistance, tumor relapse, and metastatic spread. Both tumor transplantation and lineage-tracing assays have been helpful in characterizing these cancer cell populations, although each system has its strengths and caveats. In this article, we briefly review and summarize advantages and limitations of both assays in support of a combinatorial approach to accurately define the roles of both cancer-initiating and cancer-propagating cells. As an aside, we also wish to clarify the definitions of cancer cell-of-origin and CSCs, which are often interchangeably used by mistake.

205 citations

Journal ArticleDOI
TL;DR: In this paper, an algorithm to solve the inverse problem of detecting inclusion interfaces in a piezoelectric structure is proposed, where the material interfaces are implicitly represented by level sets which are identified by applying regularization using total variation penalty terms.
Abstract: An algorithm to solve the inverse problem of detecting inclusion interfaces in a piezoelectric structure is proposed. The material interfaces are implicitly represented by level sets which are identified by applying regularization using total variation penalty terms. The inverse problem is solved iteratively and the extended finite element method is used for the analysis of the structure in each iteration. The formulation is presented for three-dimensional structures and inclusions made of different materials are detected by using multiple level sets. The results obtained prove that the iterative procedure proposed can determine the location and approximate shape of material sub-domains in the presence of higher noise levels.

205 citations

Journal ArticleDOI
TL;DR: In this article, double-shell structure of BaTiO3@TiO2@Al2O3 nanofibers (BT@TO@AO NFs) was proposed to improve the energy efficiency of polymer nanocomposites.
Abstract: Polymer nanocomposites with high energy density have potential applications in advanced electronics and electric power systems. The inevitable electrical mismatch between nanofillers and the polymer matrix could compromise the energy storage capability and dielectric properties of the polymer nanocomposites. Herein, novel core–double-shell structured BaTiO3@TiO2@Al2O3 nanofibers (BT@TO@AO NFs) were prepared via a one step method, and were incorporated into poly(vinylidene fluoride) (PVDF). The novel design of gradually varying the multilayer hierarchical interface was advantageous to alleviating the local electric field and electric current density intensification in the filler/polymer system. As compared with the nanocomposites loaded with BT NFs and BT@TO NFs, the nanocomposites filled with BT@TO@AO NFs exhibit much decreased dielectric loss, enhanced breakdown strength, and suppressed leakage current densities. Simulations were carried out to verify that the new core–double-shell structure significantly enhances the breakdown strength and energy density. As a result, the nanocomposite films loaded with 3.6 vol% BT@TO@AO NFs show a maximum energy storage density (Ue) of 14.84 J cm−3 at 450 MV m−1, which is about twelve times greater than that of biaxially oriented polypropylene (BOPP) (≈1.2 J cm−3 at 640 MV m−1). Moreover, the nanocomposite exhibits a superior power density of 4.7 MW cm−3 and an ultra-fast discharge speed of 0.37 μs. This research opens up a convenient and effective way for designing high-performance dielectric polymer nanocomposites.

205 citations

Journal ArticleDOI
TL;DR: Information from previous studies is summarized, which may lay the foundation for the diagnosis of pathological pregnancy and put forward new ideas for future studies about dynamic changes in immune cells in mid and late pregnancy.
Abstract: A successful pregnancy requires a fine-tuned and highly regulated balance between immune activation and embryonic antigen tolerance. Since the fetus is semi-allogeneic, the maternal immune system should exert tolerant to the fetus while maintaining the defense against infection. The maternal-fetal interface consists of different immune cells, such as decidual natural killer (dNK) cells, macrophages, T cells, dendritic cells, B cells, and NKT cells. The interaction between immune cells, decidual stromal cells, and trophoblasts constitute a vast network of cellular connections. A cellular immunological imbalance may lead to adverse pregnancy outcomes, such as recurrent spontaneous abortion, pre-eclampsia, pre-term birth, intrauterine growth restriction, and infection. Dynamic changes in immune cells at the maternal-fetal interface have not been clearly stated. While many studies have described changes in the proportions of immune cells in the normal maternal-fetus interface during early pregnancy, few studies have assessed the immune cell changes in mid and late pregnancy. Research on pathological pregnancy has provided clues about these dynamic changes, but a deeper understanding of these changes is necessary. This review summarizes information from previous studies, which may lay the foundation for the diagnosis of pathological pregnancy and put forward new ideas for future studies.

205 citations


Authors

Showing all 76610 results

NameH-indexPapersCitations
Gang Chen1673372149819
Yang Yang1642704144071
Georgios B. Giannakis137132173517
Jian Li133286387131
Jianlin Shi12785954862
Zhenyu Zhang118116764887
Ju Li10962346004
Peng Wang108167254529
Qian Wang108214865557
Yan Zhang107241057758
Richard B. Kaner10655766862
Han-Qing Yu10571839735
Wei Zhang104291164923
Fabio Marchesoni10460774687
Feng Li10499560692
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023238
20221,051
20219,713
20208,502
20197,517
20186,352