424 research outputs found
The Penetration of Scientific Frontier in Solid State Physics Teaching
Solid State Physics is a core course in undergraduate physics education and its content is closely linked to the frontiers of research in condensed matter physics. The introduction of appropriate scientific frontier advances in teaching can broaden students’ academic horizons and motivate them to study in depth and engage in research. In this study, we combine the teaching content in solid state physics and integrate cutting-edge scientific research into the teaching of solid state physics, to provide a theoretical reference for future physics courses that can be high order, innovative and challenging
Description of Hf in the constrained relativistic mean field theory
The properties of the ground state of Hf and the isomeric state
Hf are studied within the adiabatic and diabatic constrained
relativistic mean field (RMF) approaches. The RMF calculations reproduce well
the binding energy and the deformation for the ground state of Hf.
Using the ground state single-particle eigenvalues obtained in the present
calculation, the lowest excitation configuration with is found to
be
. Its excitation energy calculated by the
RMF theory with time-odd fields taken into account is equal to 2.801 MeV, i.e.,
close to the Hf experimental excitation energy 2.446 MeV. The
self-consistent procedure accounting for the time-odd component of the meson
fields is the most important aspect of the present calculation.Comment: 12 pages(preprint), 2 figures, 1 tabl
Dichlorido{2-[(2-isopropylammonioethyl)iminomethyl]-5-methoxyphenolato}zinc(II)
The ZnII atom in the title compound, [ZnCl2(C13H20N2O2)], is four-coordinated by the imine N and phenolate O atoms of the zwitterionic Schiff base ligand, and by two choride ions in a distorted tetrahedral coordination. In the crystal structure, molecules are linked through intermolecular N—H⋯O and N—H⋯Cl hydrogen bonds along [010]
Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds
[EN] In cloud computing, service providers rent heterogeneous servers from cloud providers, i.e., Infrastructure as a Service (IaaS), to meet requests of consumers. The heterogeneity of servers and impatience of consumers pose great challenges to service providers for profit maximization. In this article, we transform this problem into a multi-queue model where the optimal expected response time of each queue is theoretically analyzed. A multi-queue request scheduling algorithm framework is proposed to maximize the total profit of service providers, which consists of three components: request stream splitting, requests allocation, and server assignment. A request stream splitting algorithm is designed to split the arriving requests to minimize the response time in the multi-queue system. An allocation algorithm, which adopts a one-step improvement strategy, is developed to further optimize the response time of the requests. Furthermore, an algorithm is developed to determine the appropriate number of required servers of each queue. After statistically calibrating parameters and algorithm components over a comprehensive set of random instances, the proposed algorithms are compared with the state-of-the-art over both simulated and real-world instances. The results indicate that the proposed multi-queue request scheduling algorithm outperforms the other algorithms with acceptable computational time.This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB1400800, in part by the National Natural Science Foundation of China under Grants 61872077 and 61832004, and in part by the Collaborative InnovationCenter of Wireless Communications Technology. The work of Quan Z. Sheng was supported in part by Australian Research Council Future Fellowship under Grant FT140101247 and in part by Discovery Project under Grant DP180102378. The work of Ruben Ruiz was supported in part by the Spanish Ministry of Science, Innovation, and Universities through the project OPTEP-Port Terminal Operations Optimization under Grant RTI2018-094940-B-I00 financed with FEDER fundsWang, S.; Li, X.; Sheng, QZ.; Ruiz García, R.; Zhang, J.; Beheshti, A. (2021). Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. IEEE Transactions on Parallel and Distributed Systems. 32(11):2838-2851. https://doi.org/10.1109/TPDS.2021.3075254S28382851321
Measurement of Temperature Distribution Based on Optical Fiber-Sensing Technology and Tunable Diode Laser Absorption Spectroscopy
Temperature is an important physical quantity in most industrial processes. Distributed temperature sensor (DTS), fiber Bragg grating (FBG), and tunable diode laser absorption spectroscopy (TDLAS) are three primary techniques for temperature measurement using fiber optic sensing and spectrum technology. The DTS system can monitor space temperature field along the fiber in real time. In addition, it also can locate a fire source using two sections of optical fibers which are placed orthogonally to each other. The FBG temperature sensor is used to measure the point temperature. The temperature sensitivity of the bare FBG is 10.68 pm/°C and the linearity is 0.99954 in the range of 30–100°C. Based on tunable diode laser absorption spectroscopy (TDLAS), two-dimensional (2D) distribution reconstructions of gas temperature are realized using an algebraic reconstruction technique (ART). The results are in agreement with the simulation results, and the time resolution is less than 1 s
Overexpression of MYCT1 Inhibits Proliferation and Induces Apoptosis in Human Acute Myeloid Leukemia HL-60 and KG-1a Cells in vitro and in vivo
MYC target 1 (MYCT1), a direct target gene of c-Myc, is a novel candidate tumor suppressor gene first cloned from laryngeal squamous cell carcinoma. The downregulation of MYCT1 has been reported to be associated with carcinogenesis. However, the role of MYCT1 in the development and progress of acute myeloid leukemia (AML) remains unknown and requires further investigation. In this study, we first found that the expression level of MYCT1 was significantly lower in the bone marrow (BM) derived from AML patients than that from healthy individuals. The low expression of MYCT1 in AML BM may be due to the hypermethylation in its promoter. MYCT1 expression was strongly associated with French–American–British classifications of AML. The low expression level of MYCT1 was more often observed in patients of M1, M5 and M6 types. In vitro, lentiviral particles carrying the complete CDS of MYCT1 gene were used to mediate the forced overexpression of MYCT1 in two AML cell lines, HL-60 and KG-1a. MYCT1 overexpression significantly inhibited cell proliferation, arrested cell cycle at G0/G1 phase, and downregulated the expression of cyclins D and E. Moreover, MYCT1 overexpression triggered apoptosis in AML cells, which was accompanied by enhanced cleavage of caspase-3 and -9, upregulated expression of B-cell lymphoma 2 (Bcl-2)-associated X protein (Bax), and downregulated Bcl-2. Finally, in BALB/c nude mice bearing xenograft tumors generated by HL-60 and KG-1a cells, we noted that the intratumoral injection of MYCT1 lentivirus repressed tumor growth and led to massive apoptosis. In summary, our results reveal that MYCT1’s promoter is hypermethylated and its expression is downregulated in the BM of AML patients. MYCT1 plays a tumor-suppressive role, and it may serve as a promising target for the genetic therapeutic strategy in treating AML
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