Long-term cyclic oxidation behavior of wrought commercial alloys at high temperatures

The long-term oxidation behavior of commercial wrought Fe- and Ni-base alloys was studied, with particular focus on the oxidative effects of alloying elements, especially minor elements, such as Si. The behavior of oxide scale growth, scale spallation, subsurface changes, and chromium interdiffusion in the alloy were analyzed in detail. A numerical model is presented that predicts the service life-time of chromia-forming alloys during cyclic oxidation by simulating oxidation kinetics and chromium interdiffusion in the alloy subsurface. The results show good agreement with measured depletion profiles if proper parameters are used, particularly the Cr interdiffusion coefficient.;The cyclic oxidation kinetics of Fe-based alloys was generally found to show poorer oxidation resistance than Ni-based alloys. All Fe-based alloys showed a large amount of spallation, even to breakdown, during cyclic oxidation at 1000°C. The Ni-base alloys also showed dramatic variability in their cyclic oxidation behavior, from negative weight change (large spallation) to stable positive weight gain (small spallation).;Increasing the Si content in the Fe-based alloys (\u3c1 wt.%) resulted in improved oxidation resistance. Formation of Si-rich oxide particles at the alloy/scale interface was inferred to aid cyclic oxidation resistance by impeding the diffusion of oxygen and chromium, thus decreasing oxidation kinetics. A higher silicon content facilitated the formation of oxide protrusions at the alloy/scale interface of the Ti-containing alloys, which can result in larger stresses and greater spallation. Si addition to Ni-based alloys showed the effects on increasing the chromium diffusivity and decreasing the oxide growth rate. Both of these factors beneficially contributed to the cyclic oxidation resistance of the alloy

Alliance Member Selection for Multi-Enterprises Project--Based on the Collaborative Network Information

The enterprises alliance is an effective combination for the larger project development. Type of enterprises to be selected as alliance is the key to achieve more powerful effect. The multi-index decision making method based on the collaboration network information is used to choose the potential partners of the enterprises development alliance. The priority rating for the partners was made. The linguistic variables were conducted using the triangular fuzzy numbers. The individual partner information and cooperative information were dealt with comprehensively to choose the optimal alliance members

A miRNA-HERC4 pathway promotes breast tumorigenesis by inactivating tumor suppressor LATS1.

The E3 ligase HERC4 is overexpressed in human breast cancer and its expression levels correlated with the prognosis of breast cancer patients. However, the roles of HERC4 in mammary tumorigenesis remain unclear. Here we demonstrate that the knockdown of HERC4 in human breast cancer cells dramatically suppressed their proliferation, survival, migration, and tumor growth in vivo, while the overexpression of HERC4 promoted their aggressive tumorigenic activities. HERC4 is a new E3 ligase for the tumor suppressor LATS1 and destabilizes LATS1 by promoting the ubiquitination of LATS1. miRNA-136-5p and miRNA-1285-5p, expression of which is decreased in human breast cancers and is inversely correlated with the prognosis of breast cancer patients, are directly involved in suppressing the expression of HERC4. In summary, we discover a miRNA-HERC4-LATS1 pathway that plays important roles in the pathogenesis of breast cancer and represents new therapeutic targets for human breast cancer

Public attitudes toward animals and the influential factors in contemporary China

The relationship between public attitudes toward animals and human demographics has been well documented during the last few decades, but the influence of human ethical ideologies on public attitudes toward animals and animal welfare has been rarely investigated, especially in developing countries, such as China. The present study introduced two scales ( Animal Issue Scale [AIS] and Animal Attitude Scale [AAS]) to investigate the Chinese people's attitudes toward animals and the manner in which their outlook related to ethical ideologies ( idealism and relativism), which classified people into four ethical positions: situationists, subjectivists, absolutists and exceptionists. Moreover, it also showed how ethical ideologies and their interaction with human demographics influence respondents' attitudes toward animals. The results of an online questionnaire ( n = 504) distributed throughout China suggest that compared with middle-aged and old respondents, the young demonstrated significantly more positive attitudes toward animals. Absolutists showed the most positive attitudes toward animals, while subjectivists showed the least. People's attitudes toward animals were positively affected by idealism, which confirms previous findings in developed countries. However, people's attitudes toward animals were negatively affected by relativism, which is inconsistent with findings in developed countries, showing that ethical relativism failed to influence attitudes toward animals. Our results indicate that the same mechanisms underlying the effect of ethical idealism on attitudes toward animals might work in different countries to increase awareness on animal welfare. However, the manner in which ethical relativism influences attitudes toward animals may differ between developed and developing countries

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting

3D object classification has attracted appealing attentions in academic researches and industrial applications. However, most existing methods need to access the training data of past 3D object classes when facing the common real-world scenario: new classes of 3D objects arrive in a sequence. Moreover, the performance of advanced approaches degrades dramatically for past learned classes (i.e., catastrophic forgetting), due to the irregular and redundant geometric structures of 3D point cloud data. To address these challenges, we propose a new Incremental 3D Object Learning (i.e., I3DOL) model, which is the first exploration to learn new classes of 3D object continually. Specifically, an adaptive-geometric centroid module is designed to construct discriminative local geometric structures, which can better characterize the irregular point cloud representation for 3D object. Afterwards, to prevent the catastrophic forgetting brought by redundant geometric information, a geometric-aware attention mechanism is developed to quantify the contributions of local geometric structures, and explore unique 3D geometric characteristics with high contributions for classes incremental learning. Meanwhile, a score fairness compensation strategy is proposed to further alleviate the catastrophic forgetting caused by unbalanced data between past and new classes of 3D object, by compensating biased prediction for new classes in the validation phase. Experiments on 3D representative datasets validate the superiority of our I3DOL framework.Comment: Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021

Bis{1-[(1H-benzimidazol-2-yl)meth­yl]-1H-imidazole-κN 3}­bis­(3,5-dicarb­oxy­benzoato-κO 1)zinc octa­hydrate

In the title complex, [Zn(C9H5O6)2(C11H10N4)2]·8H2O, the ZnII ion exhibits site symmetry 2. It shows a distorted tetra­hedral coordination defined by two N atoms from two symmetry-related 1-[(1H-benzimidazol-2-yl)meth­yl]-1H-imid­azole ligands and by two O atoms from two symmetry-related monodeprotonated 3,5-dicarb­oxy­benzoate anions. In the crystal, complex mol­ecules and solvent water mol­ecules are linked through inter­molecular O—H⋯O, O—H⋯N, and N—H⋯O hydrogen bonds into a three-dimensional network

catena-Poly[[(diiodidocadmium)-μ-{1-[(1H-benzimidazol-2-yl)meth­yl]-1H-imidazole-κ2 N:N′}] N,N-dimethyl­formamide monosolvate]

In the title complex, {[CdI2(C11H10N4)]·C3H7NO}n, the CdII ion is four-coordinated by two N atoms from two 1-[(1H-benzimidazol-1-yl)meth­yl]-1H-imidazole (bmi) ligands and by two terminal I− anions in a distorted tetra­hedral geometry. One of the two I− anions is disordered over two sets of sites, with refined occupancies of 0.66 (5) and 0.34 (5). The CdII ions are bridged by bmi ligands, leading to the formation of a chain along [001]. Dimethyl­formamide solvent mol­ecules are located between these chains. Classical N—H⋯O hydrogen bonding between the bmi ligands and the solvent mol­ecules leads to a consolidation of the structure