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Online since: June 2025
Authors: Nahla Djebbari, Saida Mellal, Mourad Khechba, Yazid Laib Dit Laksir, Hichem Farh
This generally affects the regularity of the crystalline films.
In order to improve the electrical properties of TO thin film, it is an n-type semiconductor.
These thin films exhibit excellent electrical properties while providing the mechanical stability necessary for flexible electronic applications [43].
Additionally, lattice distortions resulting from mechanical stress or chemical interactions with nickel and zinc lead to the creation of defects such as voids and distorted atomic positions, which further enhance the electrical and optical properties of the material.
Furthermore, the efficiency of these processes is significantly affected by factors such as material crystallinity, dopant presence, and the structural orientation of the film.
In order to improve the electrical properties of TO thin film, it is an n-type semiconductor.
These thin films exhibit excellent electrical properties while providing the mechanical stability necessary for flexible electronic applications [43].
Additionally, lattice distortions resulting from mechanical stress or chemical interactions with nickel and zinc lead to the creation of defects such as voids and distorted atomic positions, which further enhance the electrical and optical properties of the material.
Furthermore, the efficiency of these processes is significantly affected by factors such as material crystallinity, dopant presence, and the structural orientation of the film.
Online since: June 2018
Authors: Anatoliy Golovchenko, Yuliya Pazynich, Michał Potempa
The process of gas flow in the blast furnace is influenced by a range of uncontrolled factors.
The main factor of influence for the process of gas flow formation is the distribution of burden components with different permeability properties.
This is due to high penetration property of gamma rays.
The factors of influence on burden surface texture considered in the papers may be divided into two groups.
The influence of two first factors is shown at Figure 3.
The main factor of influence for the process of gas flow formation is the distribution of burden components with different permeability properties.
This is due to high penetration property of gamma rays.
The factors of influence on burden surface texture considered in the papers may be divided into two groups.
The influence of two first factors is shown at Figure 3.
Online since: December 2018
Authors: Nikolai Kashaev, Jan Herrnring, Benjamin Klusemann
Precipitation hardening is by far the most effective way for increasing the mechanical strength of aluminum alloys.
The resulting mechanical properties of the age hardenable aluminum-magnesium-silicon alloys (6xxx series) depend strongly on the precipitation hardening mechanism.
Best mechanical properties are achieved by metastable precipitates of the fully coherent β''- and the semi-coherent β'-phase.
The stable β-phase has generally a negligible influence on mechanical properties.
The results illustrate the significant loss in strength near the fusion as well as heat affected zone (HAZ).
The resulting mechanical properties of the age hardenable aluminum-magnesium-silicon alloys (6xxx series) depend strongly on the precipitation hardening mechanism.
Best mechanical properties are achieved by metastable precipitates of the fully coherent β''- and the semi-coherent β'-phase.
The stable β-phase has generally a negligible influence on mechanical properties.
The results illustrate the significant loss in strength near the fusion as well as heat affected zone (HAZ).
Online since: November 2024
Authors: Victor Ejiro Ajokperiniovo, Ejovi Okuma Ogagavwodia, Silas Oseme Okuma, Martins Obaseki
This software is widely recognized for its capability to optimize and explore the effects of multiple factors on a response variable through statistical models such as the Central Composite Design (CCD).
The anticorrosion efficacy of AGL extract is largely due to the properties of heterocyclic compounds found in the extract.
These results shows that factors such as temperature, time, and extract concentration exert a considerable influence on the corrosion rate.The second-order polynomial model obtained for corrosion rate is expressed in Eq. (5).
The statistical significance of the models was confirmed, and the interaction between responses and factors was demonstrated through three-dimensional plots.
Elechi, Development of regression models to predict and optimize the composition and the mechanical properties of aluminium bronze alloy, Advances in Materials and Processing Technologies, 8(sup3) (2022) 1227-1244
The anticorrosion efficacy of AGL extract is largely due to the properties of heterocyclic compounds found in the extract.
These results shows that factors such as temperature, time, and extract concentration exert a considerable influence on the corrosion rate.The second-order polynomial model obtained for corrosion rate is expressed in Eq. (5).
The statistical significance of the models was confirmed, and the interaction between responses and factors was demonstrated through three-dimensional plots.
Elechi, Development of regression models to predict and optimize the composition and the mechanical properties of aluminium bronze alloy, Advances in Materials and Processing Technologies, 8(sup3) (2022) 1227-1244
Online since: October 2013
Authors: Gao Ming He
Therefore, loss of the overall performance is by three factors: the missing of increasing cache and loss of missing the increasing cache, additional instruction executes null operation insert into code and decryption.
This formula (1.2) can be discredited to finally obtain the formula [14]: (3) The above formula is the spectrum of the time sequence, is called the butterfly factor.
Table 1 Increasing percentage of the properties of the instruction and data protection scheme in execution time Encryption Instruction Data Datum Encryp-tion Encryption tag (memory) The encrypted tag (external memory) Encrypted hash tag (memory) Encrypted hash tag (external memory) Encryption Encryption tab Cryptographic hash tag Median 0.03 9.48 0.03 47.41 0.19 0.02 0.02 0.07 Cyclic Redundancy Code 0.02 17.03 0.02 99.16 0.15 0.02 0.02 0.06 Dijkstra 0.02 11.57 0.03 58.02 0.54 5.27 5.5 15.62 Fourier transform 0.08 13.35 0.09 39.16 1.25 3.8 3.89 10.71 Fourier inverse transform 0.07 14.09 0.08 47.54 3.52 12.20 12.47 33.26 Patricia 0.06 43.05 0.05 67.59 0.47 2.74 2.81 8.74 Stellar Perspective 0.07 5.27 0.02 22.11 0.49 0.10 0.11 0.31 String search 4.95 20.54 5.66 10.38 28.30 9.75 10.23 29.63 Susan smooth 0.04 4.95 0.03 24.40 0.31 0.16 0.07 0.49 Susan boundary 0.82 5.49 0.94 18.40 5.74 6.84 7.06 19.28 Susan people 1.5 7.6 1.73 26.24 11.75 13.0 13.41 36.17 Domain 0.01 2.28 0.01 11.02 0.08
On the basis of this observation we conclude, strong integrity and protection of the control flow are not limited in embedded system when the system can provide something without any time affecting.
Beijing: Mechanical industry press 66-73 [3] Zhuang.
This formula (1.2) can be discredited to finally obtain the formula [14]: (3) The above formula is the spectrum of the time sequence, is called the butterfly factor.
Table 1 Increasing percentage of the properties of the instruction and data protection scheme in execution time Encryption Instruction Data Datum Encryp-tion Encryption tag (memory) The encrypted tag (external memory) Encrypted hash tag (memory) Encrypted hash tag (external memory) Encryption Encryption tab Cryptographic hash tag Median 0.03 9.48 0.03 47.41 0.19 0.02 0.02 0.07 Cyclic Redundancy Code 0.02 17.03 0.02 99.16 0.15 0.02 0.02 0.06 Dijkstra 0.02 11.57 0.03 58.02 0.54 5.27 5.5 15.62 Fourier transform 0.08 13.35 0.09 39.16 1.25 3.8 3.89 10.71 Fourier inverse transform 0.07 14.09 0.08 47.54 3.52 12.20 12.47 33.26 Patricia 0.06 43.05 0.05 67.59 0.47 2.74 2.81 8.74 Stellar Perspective 0.07 5.27 0.02 22.11 0.49 0.10 0.11 0.31 String search 4.95 20.54 5.66 10.38 28.30 9.75 10.23 29.63 Susan smooth 0.04 4.95 0.03 24.40 0.31 0.16 0.07 0.49 Susan boundary 0.82 5.49 0.94 18.40 5.74 6.84 7.06 19.28 Susan people 1.5 7.6 1.73 26.24 11.75 13.0 13.41 36.17 Domain 0.01 2.28 0.01 11.02 0.08
On the basis of this observation we conclude, strong integrity and protection of the control flow are not limited in embedded system when the system can provide something without any time affecting.
Beijing: Mechanical industry press 66-73 [3] Zhuang.
Online since: June 2017
Authors: J.P. Gomes, W.M. Paiva Barbosa de Lima, A.G. Barbosa de Lima, P. Morais Pessôa, R. Swarnakar
The choice of the method depends on food properties and economic viability.
The undesirable changes caused by biological factors such as respiration, transpiration and ethylene action and all the metabolic transformations which are linked to the fruit and vegetable degradation can be delayed with the controlled refrigeration [15].
These properties can be classified, basically into two categories: the transport properties (thermal conductivity, thermal diffusivity) and thermodynamic properties (density, specific heat).
The values of the thermophysical properties and the geometrical parameters of the fruits used in this work are given in Table 1.
[7] ASHRAE Refrigeration Handbook, Chapter 8: Thermal properties of foods.
The undesirable changes caused by biological factors such as respiration, transpiration and ethylene action and all the metabolic transformations which are linked to the fruit and vegetable degradation can be delayed with the controlled refrigeration [15].
These properties can be classified, basically into two categories: the transport properties (thermal conductivity, thermal diffusivity) and thermodynamic properties (density, specific heat).
The values of the thermophysical properties and the geometrical parameters of the fruits used in this work are given in Table 1.
[7] ASHRAE Refrigeration Handbook, Chapter 8: Thermal properties of foods.
Matrix Elasticity Affects Integrin Expression in Human Umbilical Cord-Derived Mesenchymal Stem Cells
Online since: March 2015
Authors: Mei Yu Sun, Jia Hui Yang, Zhi Shen Chen, Ming Ming Fan, Li Sha Li, Yu Lin Li, Hong Wei Lv, Yin Zhang
It is increasingly clear that cells respond to the mechanical properties of their surrounding extracellular matrix (ECM), including the effects of mechanics on spreading, morphology, and function.
Polyacryalmide substrates with tunable mechanical properties were prepared according to Wang and Pelham protocol [24].
The mechanical properties of polyacrylamide gels could be easily modified by altering the density of cross-links in the gel.
Discussion We used in vitro polyacrylamide system as an analogue of the ECM since it has several attractive properties: its elastic modulus can be adjusted precisely by varying the concentrations of acrylamide and bis-acrylamide [24]; its elasticity can be tuned within the physiologically relevant regime from several hundred pascals (brain) to thousands of kilopascals (arties) [24]; altering the mechanical properties does not change the surface chemistry properties [24, 25]; the gel’s porosity makes the flow of medium possible, providing a more natural environment than do conventional culture models, such as glass or plastic substrates [26]; adhesive proteins that are covalently attached to the gel’s surface are primary ligands for cell attachment because nonspecific binding of proteins are negligible [27].
Clark, Cell adaptation to a physiologically relevant ECM mimic with different viscoelastic properties, Biomaterials. 28(2007) 671-679
Polyacryalmide substrates with tunable mechanical properties were prepared according to Wang and Pelham protocol [24].
The mechanical properties of polyacrylamide gels could be easily modified by altering the density of cross-links in the gel.
Discussion We used in vitro polyacrylamide system as an analogue of the ECM since it has several attractive properties: its elastic modulus can be adjusted precisely by varying the concentrations of acrylamide and bis-acrylamide [24]; its elasticity can be tuned within the physiologically relevant regime from several hundred pascals (brain) to thousands of kilopascals (arties) [24]; altering the mechanical properties does not change the surface chemistry properties [24, 25]; the gel’s porosity makes the flow of medium possible, providing a more natural environment than do conventional culture models, such as glass or plastic substrates [26]; adhesive proteins that are covalently attached to the gel’s surface are primary ligands for cell attachment because nonspecific binding of proteins are negligible [27].
Clark, Cell adaptation to a physiologically relevant ECM mimic with different viscoelastic properties, Biomaterials. 28(2007) 671-679
Online since: October 2014
Authors: Seong Soo Hong, Man Sig Lee, Ji Sun Kim, Jae Ho Baek, Myung Hwan Kim
The synthesis of Pd/C catalyst was affected various characteristic of carbon apart from high specific surface area.
Not only high specific surface area, but also surface chemical properties such as surface oxygen groups and physical properties such as the pore structure of the carbon support may influence the characteristics of carbon-supported catalysts.
Much still needs to be done to explore the physical properties of carbon supports in order to obtain optimum catalyst [11].
And we confirmed that the effects of the support physical properties such as pore distribution and preparation conditions of Pd/C catalysts on their catalytic properties have been investigated.
The micropore properties were analyzed by the t-plot and HK method.
Not only high specific surface area, but also surface chemical properties such as surface oxygen groups and physical properties such as the pore structure of the carbon support may influence the characteristics of carbon-supported catalysts.
Much still needs to be done to explore the physical properties of carbon supports in order to obtain optimum catalyst [11].
And we confirmed that the effects of the support physical properties such as pore distribution and preparation conditions of Pd/C catalysts on their catalytic properties have been investigated.
The micropore properties were analyzed by the t-plot and HK method.
Online since: July 2014
Authors: R. Saravanan, Manoj Kumar B
Saravanan 2,b
1 Research Scholar – Mechanical Engineering, Karpagam University, Coimbatore,
Tamil Nadu State, India
2 Dean - Mechanical Engineering, Sri Krishna College of Technology, Coimbatore,
Tamil Nadu State, India
a manojkumar@scmsgroup.org b r.saravanan@skct.edu.in
Keywords: Reclaimed rubber, Reverse logistics, Network design, used tires, Tire Recycling, Matlab, Material recovery
Abstract- Managing the products at the end of its intended use and recovery of such used products from the market is gaining significant importance these days due to global environmental concerns, resource reduction, government regulations and economic factors.
Naturally it affects the quality of material recovered also.
Due to increasing environmental deterioration, green manufacturing, government regulations, corporate social responsibilities, resource reduction, and economic factors, many companies are now engaged in the material recovery business.
Work is on-going in CEN TC366 to validate CEN TS14243 into a European standard and to develop standards related to certain physical, composition characteristics of the materials produced from ELTs as well as to determine general properties of whole tires as required for further processing.
The recycling plant of manufacturing reclaimed rubber will setup its own sorting cum shredding unit across the state based on the geographical and availability factors of used tires and they will collect the used tires from the tire shop directly without collection agents.
Naturally it affects the quality of material recovered also.
Due to increasing environmental deterioration, green manufacturing, government regulations, corporate social responsibilities, resource reduction, and economic factors, many companies are now engaged in the material recovery business.
Work is on-going in CEN TC366 to validate CEN TS14243 into a European standard and to develop standards related to certain physical, composition characteristics of the materials produced from ELTs as well as to determine general properties of whole tires as required for further processing.
The recycling plant of manufacturing reclaimed rubber will setup its own sorting cum shredding unit across the state based on the geographical and availability factors of used tires and they will collect the used tires from the tire shop directly without collection agents.
Online since: July 2024
Authors: Ivan Bahnam Karomi, Shawkat Ismael Jubair, Asheraf Eldieb, Ghassan Salem, Phil Buckle
Whereas, there are numerous uncontrollable factors that affecting this shape, such as changes in the gate geometry, variations in the Fermi level pinning at the QW, surface or at the interface with the gate metal, doping uniformity in the heterostructure material and trapping of charge in deep levels in top cap layer [11, 12].
Limitations of Conductance Quantization Several factors can affect the quantized conductance plateaus for instance, threading dislocations (TDs) can significantly affect them by carrying an electrical potential due to accumulation of dopant or the presence of charged traps [35].
This contributes to the drain current and affects the plateaus structure.
Das, Composition dependent structural, electrical, and optical properties of p-type InSb thin film for homojunction device application, Dig.
Kouwenhoven, Quantized Conductance and Large g-Factor Anisotropy in InSb Quantum Point Contacts, Nano Letters, 16, 12 (2016) 7509–7513
Limitations of Conductance Quantization Several factors can affect the quantized conductance plateaus for instance, threading dislocations (TDs) can significantly affect them by carrying an electrical potential due to accumulation of dopant or the presence of charged traps [35].
This contributes to the drain current and affects the plateaus structure.
Das, Composition dependent structural, electrical, and optical properties of p-type InSb thin film for homojunction device application, Dig.
Kouwenhoven, Quantized Conductance and Large g-Factor Anisotropy in InSb Quantum Point Contacts, Nano Letters, 16, 12 (2016) 7509–7513