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Online since: December 2015
Authors: W.O. Soboyejo, Karen Malatesta, S. Dozie-Nwachukwu, Y. Danyuo, C.J. Ani, J.D. Obayemi, Nicolas Anuku, O.S. Odusanya, Y. Oni
Drug release at 37˚C yielded a reduction of cell death to ~20 folds as compared to the controlled.
The experimental data were compared using meanstandard deviation.
The data were compared by using meanstandard deviation.
Unpublished data.1-31
Product data sheet.
The experimental data were compared using meanstandard deviation.
The data were compared by using meanstandard deviation.
Unpublished data.1-31
Product data sheet.
Online since: October 2021
Authors: Marwa El-Sayed El-Bany
The rise in demand for real-time data to help managers and citizens make more informed decisions after using GPS and the new mobile applications.
So, the digitization of transport to transmit actual data will take a big attention in the future.
Finally, the policies towards reduction of air pollutions are very important.
Each one is dealing with its own problem according to the available data to reach the sustainability concept.
The digitization of transport to transmit actual data will take a big attention to make the transport easy and safe.
So, the digitization of transport to transmit actual data will take a big attention in the future.
Finally, the policies towards reduction of air pollutions are very important.
Each one is dealing with its own problem according to the available data to reach the sustainability concept.
The digitization of transport to transmit actual data will take a big attention to make the transport easy and safe.
Online since: June 2022
Authors: J.M. Jafferson, Ashwini Patil, Vasanth Gopal, Jebaseelan D. Davidson, Geetha Manivasagam
Micro-morphological studies can be performed using a 3D roughness profilometer to obtain quantified data that includes peaks and valleys.
The reduction of the peak material volume was 25 % after wear in all the groups.
After wear There is a reduction in peak height above the core roughness, which was observed after wear.
The maximum reduction was observed as 0.11±0.011µm³/µm² in the G5 group.
[44] Cattani-Lorente M, Durual S, Amez-Droz M, Wiskott HWA, Scherrer SS, Hydrothermal degradation of a 3Y-TZP translucent dental ceramic: A comparison of numerical predictions with experimental data after 2 years of aging, Dental Materials. 32(2016)394–402.
The reduction of the peak material volume was 25 % after wear in all the groups.
After wear There is a reduction in peak height above the core roughness, which was observed after wear.
The maximum reduction was observed as 0.11±0.011µm³/µm² in the G5 group.
[44] Cattani-Lorente M, Durual S, Amez-Droz M, Wiskott HWA, Scherrer SS, Hydrothermal degradation of a 3Y-TZP translucent dental ceramic: A comparison of numerical predictions with experimental data after 2 years of aging, Dental Materials. 32(2016)394–402.
Online since: July 2020
Authors: Philip G. Neudeck, David J. Spry
As maturing growth technology yields improved control over epilayers, it is anticipated that less-negative JFET threshold voltages will enable reduction of IC operating voltages.
The inability of conventional electronics to function in the harsh Venus surface environment, combined with severe practical limitations of protecting/cooling conventional electronics, has effectively prevented any (even very large > 500 kg) Venus landers from returning more than a couple hours of post-landing data [36].
The entire set of Venus surface lander data is thus miniscule compared to years of scientific data returned from Mars landers.
The LLISSE lander would transmit surface atmospheric observational data to an orbiter for a minute or two roughly every 8 hours, sleeping in a low-power mode between data transmissions.
IEEE Radiation Effects Data Workshop (2019)
The inability of conventional electronics to function in the harsh Venus surface environment, combined with severe practical limitations of protecting/cooling conventional electronics, has effectively prevented any (even very large > 500 kg) Venus landers from returning more than a couple hours of post-landing data [36].
The entire set of Venus surface lander data is thus miniscule compared to years of scientific data returned from Mars landers.
The LLISSE lander would transmit surface atmospheric observational data to an orbiter for a minute or two roughly every 8 hours, sleeping in a low-power mode between data transmissions.
IEEE Radiation Effects Data Workshop (2019)
Online since: January 2010
Authors: Marco A. Deriu, Alberto Redaelli, Monica Soncini, Franco Maria Montevecchi, Tamara C. Bidone
MT macroscopic properties, such as
bending stiffness (kf), bending modulus (Yf), stretching modulus (Ys), and persistence length (lp)
were calculated on the basis of the bending and stretching modes, and results were directly
compared to experimental data.
In particular, the BNM approach models the protein in several rigid blocks, each representing a different protein region, by applying to the molecular system a reduction of the number of degree of freedom.
The mechanical properties of MTs with length ranging from 80 to 180 nm were obtained by combining data from MD and NMA.
Methods Starting from the atomic structure of the tubulin dimer (1TUB.pdb, Protein Data Bank file) and the data about the tubulin arrangement in the MT's lattice structure [1], a set of MD simulations were carried out in order to refine the 1TUB structure and find an equlibrated conformation for inputing NMA code.
Moreover the results, in terms of bending stiffness and persistence length show to be in agreement with experimental data [1] showing up MTs as very stiff rods with a persistence length in the order of mm.
In particular, the BNM approach models the protein in several rigid blocks, each representing a different protein region, by applying to the molecular system a reduction of the number of degree of freedom.
The mechanical properties of MTs with length ranging from 80 to 180 nm were obtained by combining data from MD and NMA.
Methods Starting from the atomic structure of the tubulin dimer (1TUB.pdb, Protein Data Bank file) and the data about the tubulin arrangement in the MT's lattice structure [1], a set of MD simulations were carried out in order to refine the 1TUB structure and find an equlibrated conformation for inputing NMA code.
Moreover the results, in terms of bending stiffness and persistence length show to be in agreement with experimental data [1] showing up MTs as very stiff rods with a persistence length in the order of mm.
Online since: September 2014
Authors: Mohd Amin bin Abd Majid, Muhammad Sarwar
The data generated through experiments has been validated for the hardness based on input process parameters (welding current, welding voltage, travel speed, welding rod diameter) and the findings from the study revealed that the most important factor influencing the hardness of a Creep-Strength Enhanced Ferritic (CSEF) material welds is the Voltage while other factors have minimum or the least influence for the studied ranges and factors.
Nearly 2:1 reduction in thickness and an increase of 44 to 170% in allowable strength in the 510-570 oC temperature range is noted when compared to P (T) 22 material.
This study is focused on the TIG welded alloy steel pipes welds (Alloy Steel-A335 P91) on construction sites Methodology The steps involved in this investigation are as follows: Step 1: Collection and compilation of data from the field Step 2: Analysis of compiled data Step 3: Application of DOE approach & ANOVA on the data Experimental Procedure and Selection of Process Parameters The main criterion adopted for material selection is based on the composition of the material.
Nearly 2:1 reduction in thickness and an increase of 44 to 170% in allowable strength in the 510-570 oC temperature range is noted when compared to P (T) 22 material.
This study is focused on the TIG welded alloy steel pipes welds (Alloy Steel-A335 P91) on construction sites Methodology The steps involved in this investigation are as follows: Step 1: Collection and compilation of data from the field Step 2: Analysis of compiled data Step 3: Application of DOE approach & ANOVA on the data Experimental Procedure and Selection of Process Parameters The main criterion adopted for material selection is based on the composition of the material.
Online since: March 2024
Authors: Bambang Waluyo Febriantoko, Agus Yulianto, Agung Setyo Darmawan, A'an Candra Mustika, Patna Partono
The results of the Scanning Electron Microscopy Energy Dispersive X-ray Spectroscopy test of the Mn element in the metal mold was detected at 3.45% and in the sand mold at 0.00%, the Mn sand mold was actually detected on the graph but did not appear in the data table because it was covered by Fe, C, and Si elements.
Basically, the manufacture of these alloys is a reduction process of iron ore or scrap iron and manganese ore in an electric arc furnace, where iron and manganese are melted.
Then save the enlarged data and the surface composition of the tested material and continue the same steps for the next material test.
In the actual graph, Mn can be detected only very little but cannot be written in the data table, because there are many elements detected and only a few Mn is covered by more elements such as Fe as the main ingredient, for table data the Mn element shows a weight of 0.00%, weight sigma 3,06 %, atomic 0.00%, Fe element shows weight 69.60 %, weight sigma 0.77%, atomic 33.72%, C element shows weight 28.70 %, weight sigma 0.73%, atomic 64.64%, Si element shows 1.71%, weight sigma 0.26%, atomic 1.64 %.
Basically, the manufacture of these alloys is a reduction process of iron ore or scrap iron and manganese ore in an electric arc furnace, where iron and manganese are melted.
Then save the enlarged data and the surface composition of the tested material and continue the same steps for the next material test.
In the actual graph, Mn can be detected only very little but cannot be written in the data table, because there are many elements detected and only a few Mn is covered by more elements such as Fe as the main ingredient, for table data the Mn element shows a weight of 0.00%, weight sigma 3,06 %, atomic 0.00%, Fe element shows weight 69.60 %, weight sigma 0.77%, atomic 33.72%, C element shows weight 28.70 %, weight sigma 0.73%, atomic 64.64%, Si element shows 1.71%, weight sigma 0.26%, atomic 1.64 %.
Online since: October 2011
Authors: Yue Gang Tan, Li Wei, Ting Ting Hu
While mass block is 4.5g, six groups of experimental data are obtained.
Fig.5(a) and (b) show two groups of the experimental data about rotate speed and strain relation.
Through processing the experimental data of 4.5g mass block, the lag of FBG1 is 1.37%, while FBG2 is 1.58%.
After fitting and averaging experimental data, the strain of FBG1 is given by .
Feasible methods include amending grating pasting process, making pre-strain for the grating, improving the machining accuracy of elastomer, doing noise reduction processing for experimental results and carrying out temperature compensation eliminating temperature influence to the measurement precision of sensor.
Fig.5(a) and (b) show two groups of the experimental data about rotate speed and strain relation.
Through processing the experimental data of 4.5g mass block, the lag of FBG1 is 1.37%, while FBG2 is 1.58%.
After fitting and averaging experimental data, the strain of FBG1 is given by .
Feasible methods include amending grating pasting process, making pre-strain for the grating, improving the machining accuracy of elastomer, doing noise reduction processing for experimental results and carrying out temperature compensation eliminating temperature influence to the measurement precision of sensor.
Online since: July 2011
Authors: Rong Zhou, Han Zhao, Ke Chen
On the basis of completed layout, with the product configuration data of spare wheel elevator, the data of production process, the data operating units node, the logistics resources (forklift and human cart used only) and the characteristics of material handling system (fixed costs, variable costs, loading, activity equations of loading, unloading and handling), logistics analysis model of the production area of spare wheel elevator is established by e-factory.
Table4: Before and after improved data tables of spare wheel elevator production areas Name Existing layout Improved plan Material handling distance 668 705 Utilization of material handling tools Forklift 190.47 96.43 Human cart 93.85 56.28 Time spent in each handling (Min) 330.45 307.43 131.35 113.27 Total costs of handling (RMB) 430.86 400.85 88.25 76.1 Conclusions Because of the variability of market demand, the automobile parts shop faces challenges in facilities planning and logistics systems.
Therefore, through modeling the actual production process and simulating based on witness and e-factory, a theoretical basis can be provided for optimizing production process, and then the reduction of cost, the improvement of production efficiency, and the achievement of better economical efficiency can be realized.
Table4: Before and after improved data tables of spare wheel elevator production areas Name Existing layout Improved plan Material handling distance 668 705 Utilization of material handling tools Forklift 190.47 96.43 Human cart 93.85 56.28 Time spent in each handling (Min) 330.45 307.43 131.35 113.27 Total costs of handling (RMB) 430.86 400.85 88.25 76.1 Conclusions Because of the variability of market demand, the automobile parts shop faces challenges in facilities planning and logistics systems.
Therefore, through modeling the actual production process and simulating based on witness and e-factory, a theoretical basis can be provided for optimizing production process, and then the reduction of cost, the improvement of production efficiency, and the achievement of better economical efficiency can be realized.
Online since: March 2018
Authors: Hendrik Wijaya, Daniel Rumbi Teruna
The design seismic force is determined by reducing real seismic action with reduction factor that related to structural ductility.
The Giuffre-Menegotto-Pinto uniaxial steel model in OpenSEES is calibrated with damper experimental data [7].
The comparison of analytical model and experimental data in cyclic analysis is shown in Figure 2.
Fig. 2: Comparison of analytical model and experimental data.
"Internet site for European strong-motion data."
The Giuffre-Menegotto-Pinto uniaxial steel model in OpenSEES is calibrated with damper experimental data [7].
The comparison of analytical model and experimental data in cyclic analysis is shown in Figure 2.
Fig. 2: Comparison of analytical model and experimental data.
"Internet site for European strong-motion data."