Compatability Behaviour on Cold Formed Steel for I Section and C Section in Variable Parameters

This Study represents compatibility on Cold formed steel in I-Section beams and C-section beams with variable length parameters was 1000mm, 1500mm, 2000 mm under simply supported end condition subjected to uniformly distributed loading. The Cold formed steel is of shell type in Numerical simulation is carried out using the Software ABAQUS. For validation the series of parameters studies have been carried out using the numerical model of different parameters, such as the effect of length, width, thickness. CFS I-Section steel in various thickness of 1mm, 2mm, 3mm and 4mm with same loading conditions. CFS C-Section steel in various uneven flange width such as 500mm at the top flange and bottom flange of different width such as 400mm, 300mm, 200mm respectively in variable lengths with various loading conditions and with the thickness of about 1mm. For both I-Section and C-Section Beams the Effective Length ranges, MISES(max and min) and deflections(max and min) were taken for the analyse of the Sections. This study gives the way of finding the effective Section by the analysis of behaviour of I-Section beam and C-Section beam through the deflection results in various length variations in the beam Section using the ABAQUS software for finding the Structural behaviour in the more accuracy manner by applying meshing more finer for the Element Section in the Analyse of beam. The loading condition and the supporting condition applied to the beam section in different loading for getting the effective Section. For further stability in effective section we can use different types of connection.

An Innovative Elastoplastic Analysis for Soft Surrounding Rock considering Supporting Opportunity Based on Drucker-Prager Strength Criterion

In order to study the mechanism of excavation and supporting process of equivalent circular roadway, the model of soft roadway was established firstly. The elastoplastic solutions in excavation process were deduced based on Drucker-Prager strength criterion. Then, the elastoplastic solution under supporting condition was obtained based on homogenization method under the condition of rockbolts and liner supporting. Lastly, an example was analyzed to study the effect of different factors such as “space effect,” supporting opportunity, stresses, surrounding displacement, and the radius of plastic zone. Based on theoretical research case, the change rules of considering the “space effect” and the supporting opportunity when calculating the subarea of the roadway were discussed, the control of interval distance of rockbolts on the displacement of surrounding rock mainly reflecting in the plastic residual zone and the “space effect” in excavation, and the supporting time to control the displacement of surrounding rock not being ignored are revealed. The results can provide an important theoretical basis for the stability evaluation and quantitative support design of roadway surrounding rock. Therefore, the “space effect” and the supporting time to control the displacement and stresses of surrounding rock can not being ignored in underground engineering.

Factors Affecting Indonesian Pre-Service Teachers’ Use of m-LMS: A Mix Method Study

The purpose of this research is to investigate factors affecting Indonesian pre-service teachers’ (PSTs) teachers’ use of m-learning management systems (m-LMS) in higher education. The difference regarding the use of m-LMS based on some demographic information namely gender, university, year in university, and age are also reported as well as gaining an in-depth understanding of the use of m-LMS in Indonesian universities. To achieve this, two approaches, quantitative and qualitative, were applied. First, we developed and distributed a survey instrument to 210 students teachers based on the technology acceptance model (TAM). In addition, we interviewed 7 of the PSTs to obtain an in-depth understanding of the use of m-learning in their learning. Some statistical calculations were presented such as mean, standard deviation, Cronbach’s alpha, t-test, and ANOVA. Findings suggest that PSTs’ use m-LMS are related to their Perceived usefulness and perceived ease of use, Subjective norm and attitudes Self-efficacy and supporting condition. From these results, we recommend that teacher educators should target these factors within teacher development programs to prepare PSTs for successful use of m-LMS.

Research on Rotordynamic Characteristics of Pump Annular Seals Based on a New Transient CFD Method

Pump annular seals can cause fluid reaction forces that have great effects on the vibration characteristic and stability of a pump system. For this reason, it is important to study rotordynamic characteristics of annular seals. In this paper, a new transient computational fluid dynamics (CFD) method with dynamic mesh is proposed to investigate rotordynamic characteristics of the pump annular seal. The reliability of the transient CFD method is validated by comparison with the results from the experiment and the bulk-flow method, and the relationship between the seal length and rotordynamic characteristics is investigated by the transient CFD method. The results indicate that direct stiffness decreases sharply even turns to negative as the seal length increases, this phenomenon may change the direction of fluid force on the rotor surface and affect supporting condition of the pump rotor. With the increasing seal length, the whirl frequency ratio gradually increases, which would weaken the stability of the pump rotor system.

Long Term Culture of Primary AML and CML Cells: Effects of Growth Factor Composition on Cell Expansion and Differentiation

Introduction: In vitro experiments with primary acute and chronic myeloid leukemia (AML, CML) cells are widely applied for testing of anti-tumor drug activity. Several studies also documented long-term maintenance of primary cells with the support of stromal cells and growth factors. However, to our knowledge, none of these studies sufficiently analyzed the differentiation and phenotype changes occurring during the long-term culture. Aim: To evaluate the expansion and phenotype changes of primary AML and CML cells in long-term culture using different cytokine cocktails. Methods: Primary leukocytes from 6 de novo AML samples, 5×10^5 per well, (various French-American-British classification) and CD34+ cells isolated from 4 de novo CML samples, 15-50×10^3 per well, were seeded onto a confluent layer of human bone-marrow mesenchymal stromal cells (MSCs) in 24-well plates. Four culture conditions were tested: a) "stem cell" supporting condition, designated as C4, with 4 early acting cytokines SCF, TPO, FLT3-ligand and IL-6, b) myeloid cell supporting condition C6, with the C4 cytokines plus two additional late acting growth factors IL-1 and IL-3, c) myeloid cell supporting condition C7 with the same cytokines as C6 plus terminal differentiation factor GM-CSF, d) condition adopted from previous studies, designated as C3, containing cytokines TPO, IL-3, G-SCF. Additional negative control condition C-neg did not include MSCs nor any cytokines. Experiments were analyzed after 2-weeks of culture. Phenotypization was performed both pre- and post-culture by flow cytometry. Results: For all AML samples, the tested culture conditions showed successful maintenance of cells in vitro, although with highly heterogeneous expansion rates for the individual samples (0-14 fold expansion, yielding up to 3.5×10^6 cells per well). No AML cells survived in the negative control condition C-neg, for 4/6 samples. The maximum expansion (representing relative yield of 100%) was obtained with the myelo-condition C7 in 5/6 patients. The mean relative yield from all patients for C7 was 97%. The other conditions provided mean relative yields of: C6 - 79%, C4 - 43%, C3 - 44%, and C-neg - 3.5%. Comparison of pre- and post-culture phenotypes revealed differentiation of AML cells in vitro, demonstrated by the decrease of primitive CD34+ fraction and shifting of less differentiated CD33dim cells into mature CD33bright fraction (mean log2 reduction in CD34+ cells: C4 - 0.5×, p=0.4, C7 - 1.4×, p=0.01, C6 - 1.3×, p=0.01, C3 - 1.0×, p=0.03; mean log2 reduction in CD33dim cells: C4 - 0.8×, p=0.2, C7 - 2.0×, p<0.001, C6 - 2.0×, p<0.001, C3 - 1.1×, p=0.07). Expression of CD14 and also CD117 showed large intra-patient differences (both increase and decrease), without statistically significant differences between the culture conditions. CD123 expression remained stable. The CML samples were cultured only with C4, C6, C3 conditions, without the terminal differentiation C7 condition. Expansion reached 33-260 fold; yielding up to 3.3×10^6 cells per well. C3 condition provided the highest yields (mean relative yields: C4 - 29%, C6 - 68%, C3 - 93%, and C-neg - 0%). All three tested conditions produced dominant fraction of more mature myeloid CD33+ cells (mean, 86-94%). Nevertheless, the C4 condition provided the highest proportion of CD34+ cells and produced the least mature CD14+ monocytes, compared to C6 and C3 (mean, CD34+ cell fraction of leukocytes: C4 - 31.7%, C6 - 6.8%, C3 - 4.5%; mean, CD14+ cell fraction of leukocytes: C4 - 6%, C6 - 21%, C3 - 9.6%). Conclusions: All tested culture conditions were capable of maintaining both primary AML and CML cells from all samples, during the 2-week culture. The highest in vitro expansion was achieved with conditions using the late-acting cytokines which however induced the highest cell differentiation as well. The C3 condition reported in previous studies also provided insufficient conservation of the original phenotypes. In this setup, the best preservation of original phenotypes and more primitive cells was achieved using the C4 "stem cell" condition containing early acting cytokines. Supported by Ministry of Health of the Czech Republic, grant nr. 17-30397A. All rights reserved. This report was written with the support of the Specific University Research (nr. MUNI/A/0968/2017) provided by MEYS. Disclosures Mayer: Affimed: Research Funding; Eisai: Research Funding; Johnson & Johnson: Research Funding; Roche: Research Funding; Novartis: Research Funding.

The Influence of Shaft’s Bending on the Coupling Vibration of a Flexible Blade-Rotor System

The influence of shaft bending on the coupling vibration of rotor-blades system is nonignorable. Therefore, this paper analyzed the influence of shaft bending on the coupling vibration of rotor-blades system. The vibration mode function of shaft under elastic supporting condition was also derived to ensure accuracy of the model as well. The influence of the number of blades, the position of disk, and the support stiffness of shaft on critical speed of system was analyzed. The numerical results show that there were two categories of coupling mode shapes which belong to a set where the blade’s first two modes predominate in the system: shaft-blade (SB) mode and interblade (BB) mode due to the coupling between blade and shaft. The BB mode was of repeated frequencies of (Nb-2) multiplicity for number blades, and the SB mode was of repeated frequencies of (2) multiplicity for number blades. What is more, with the increase of the number of blades, natural frequency of rotor was decreasing linearly, that of BB mode was constant, and that of SB mode was increasing linearly. Natural frequency of BB mode was not affected while that of rotor and SB mode was affected (changed symmetrically with the center of shaft) by the position of disk. In the end, vibration characteristics of coupling mode shapes were analyzed.

An Evolutionary Algorithm of the Regional Collaborative Innovation Based on Complex Network

This paper proposed a new perspective to study the evolution of regional collaborative innovation based on complex network theory. The two main conceptions of evolution, “graph with dynamic features” and “network evolution,” have been provided in advance. Afterwards, we illustrate the overall architecture and capability model of the regional collaborative innovation system, which contains several elements and participants. Therefore, we can definitely assume that the regional collaborative innovation system could be regarded as a complex network model. In the proposed evolutionary algorithm, we consider that each node in the network could only connect to less than a certain amount of neighbors, and the extreme value is determined by its importance. Through the derivation, we have created a probability density function as the most important constraint and supporting condition of our simulation experiments. Then, a case study was performed to explore the network topology and validate the effectiveness of our algorithm. All the raw datasets were obtained from the official website of the National Bureau of Statistic of China and some other open sources. Finally, some meaningful recommendations were presented to policy makers, especially based on the experimental results and some common conclusions of complex networks.