Large-scale nanofabrication of periodic nanostructures using nanosphere-related techniques for green technology applications (Conference Presentation)

2016 ◽  
Author(s):  
Chen-Chung Yen ◽  
Jyun-De Wu ◽  
Yi-Hsin Chien ◽  
Chang-Han Wang ◽  
Chi-Ching Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Green Technology ◽  
Periodic Nanostructures ◽  
Technology Applications

Phyto-fabrication of Iron Nanoparticles: Characterization and Antibacterial Capacity

2020 ◽  
Vol 16 ◽  
Author(s):  
Asma S. Algebaly ◽  
Afrah E. Mohammed ◽  
Mudawi M. Elobeid
Keyword(s):  
Electron Microscopy ◽  
Plant Extracts ◽  
Large Scale ◽  
Iron Nanoparticles ◽  
Ethanolic Extract ◽  
Green Technology ◽  
Resistant Bacteria ◽  
Scale Production ◽  
Bacterial Strains ◽  
Plant Sources

Introduction: Fabrication of iron nanoparticles (FeNPs) has recently gained a great concern for their varied applications in remediation technologies of the environment. Objective: The current study aimed to fabricate iron nanoparticles by green technology approach using different plant sources, Azadirachta indica leaf and Calligonum comosum root following two extraction methods. Methods: Currently, a mixture of FeCl2 and FeCl3 was used to react with the plant extracts which are considered as reducing and stabilizing agents for the generation of FeNPs in one step. Different techniques were used for FeNPs identification. Results: Immediately after mixing of the two reaction components, the color changed to dark brown as an indication of safe conversion of Fe ions to FeNPs, that later confirmed by zeta sizer, transmission electron microscopy (TEM) and scanning electron microscopy (SEM). FeNPs fabricated by C. comosum showed smaller size when compared by those fabricated by A. indica. Using both plant sources, FeNPs fabricated by the aqueous extract had smaller size in relation to those fabricated by ethanolic extract. Furthermore, antibacterial ability against two bacterial strains was approved. Conclusion: The current results indicated that, at room temperature plant extracts fabricated Fe ion to Fe nanoparticles, suggesting its probable usage for large scale production as well as its suitability against bacteria. It could also be recommended for antibiotic resistant bacteria.

scholarly journals Nanotechnological Advances in Catalytic Thin Films for Green Large-Area Surfaces

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Suzan Biran Ay ◽  
Nihan Kosku Perkgoz
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Environmental Remediation ◽  
Transformational Change ◽  
Green Technology ◽  
Large Area ◽  
Thin Film Coatings ◽  
Technology Applications ◽  
Production Techniques ◽  
Save Energy

Large-area catalytic thin films offer great potential for green technology applications in order to save energy, combat pollution, and reduce global warming. These films, either embedded with nanoparticles, shaped with nanostructuring techniques, hybridized with other systems, or functionalized with bionanotechnological methods, can include many different surface properties including photocatalytic, antifouling, abrasion resistant and mechanically resistive, self-cleaning, antibacterial, hydrophobic, and oleophobic features. Thus, surface functionalization with such advanced structuring methods is of significance to increase the performance and wide usage of large-area thin film coatings specifically for environmental remediation. In this review, we focus on methods to increase the efficiency of catalytic reactions in thin film and hence improve the performance in relevant applications while eliminating high cost with the purpose of widespread usage. However, we also include the most recent hybrid architectures, which have potential to make a transformational change in surface applications as soon as high quality and large area production techniques are available. Hence, we present and discuss research studies regarding both organic and inorganic methods that are used to structure thin films that have potential for large-area and eco-friendly coatings.

scholarly journals Inferring Concept Prerequisite Relations from Online Educational Resources

2019 ◽  
Vol 33 ◽  
pp. 9589-9594 ◽  
Author(s):  
Sudeshna Roy ◽  
Meghana Madhyastha ◽  
Sheril Lawrence ◽  
Vaibhav Rajan
Keyword(s):  
Network Architecture ◽  
Large Scale ◽  
Latent Dirichlet Allocation ◽  
Training Data ◽  
Allocation Model ◽  
Latent Dirichlet Allocation Model ◽  
Technology Applications ◽  
Benchmark Datasets ◽  
Latent Representations ◽  
Online Educational Resources

The Internet has rich and rapidly increasing sources of high quality educational content. Inferring prerequisite relations between educational concepts is required for modern large-scale online educational technology applications such as personalized recommendations and automatic curriculum creation. We present PREREQ, a new supervised learning method for inferring concept prerequisite relations. PREREQ is designed using latent representations of concepts obtained from the Pairwise Latent Dirichlet Allocation model, and a neural network based on the Siamese network architecture. PREREQ can learn unknown concept prerequisites from course prerequisites and labeled concept prerequisite data. It outperforms state-of-the-art approaches on benchmark datasets and can effectively learn from very less training data. PREREQ can also use unlabeled video playlists, a steadily growing source of training data, to learn concept prerequisites, thus obviating the need for manual annotation of course prerequisites.

scholarly journals SMEDDS TABLET: COMPATABILITY OF SOLID SMEDDS USING VARIOUS PHARMACEUTICAL TABLET EXCIPIENTS

2016 ◽  
Vol 8 (9) ◽  
pp. 246 ◽  
Author(s):  
Naser M.y. Hasan ◽  
Dhaifallah M. Almalki ◽  
Mohammed J.k. Althuwaybi ◽  
Hassan M. Alshehri
Keyword(s):  
Large Scale ◽  
Adsorption Method ◽  
Solid Carrier ◽  
Pharmaceutical Tablet ◽  
Powder Blends ◽  
Technology Applications ◽  
Oil Formulation ◽  
Progressive Inclusion ◽  
Powder Compacts ◽  
Tablet Dosage

<p><strong>Objective: </strong>There are many successful products on the market which are the culmination of the self-micro-emulsification lipid technology applications. Despite the importance of lipid-based formulations, these systems have some limitations including; stability, complexity during large scale manufacturing process and limited dosage forms to such as soft gelatin capsule. In order to overcome these limitations, the prospect of converting self-micro-emulsifying drug delivery systems (SMEDDS) into tablet dosage form was investigated in this study.</p><p><strong>Methods: </strong>A self-micro-emulsifying oil formulation representing type III A lipid class composed of glycerox 767HC/croduret 40 ss at ratios of (80/20) was converted into solid SMEDDS using solid carrier adsorption method. Powder blends containing magnesium trisilicate hydrate (MTSH) or magnesium lluminum silicate (MAS) at various oil loading factors were mixed with MCC with and without various binders and compressed into tablets using a fixed loading force of approximately of 5 KN. Hardness profiles of these oil loaded tablets were then analyzed.</p><p><strong>Results: </strong>Powder compacts which contained MTSH with and without SMEDDS oil had shown relatively better compaction properties than MAS. Adding SMEDDS oil solution to either MTSH or MAS at ratios of 1:9 has relatively reduced tablets hardness by almost 2 or 4 folds, respectively.</p><p><strong>Conclusion: </strong>Progressive inclusion of increasing amounts of SMEDDS oil solution adsorbed unto the solid carrier has incurred a further reduction in the hardness of SMEDDS tablets. It appears that manufacturing of tablet SMEDDS can only be attainable for highly potent drugs as minimal amounts of oil solution added to the powder blends can adversely affect the mechanical strength of compressed tablet.</p>

scholarly journals Behavioral Analysis of Subjects for Green Technology Innovation: A Tripartite Evolutionary Game Model

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongquan Guo ◽  
Hua Zou ◽  
Zhu Liu
Keyword(s):  
Technology Innovation ◽  
Evolutionary Game ◽  
Strategic Choice ◽  
Green Technology ◽  
Simulation Software ◽  
Game Model ◽  
Green Technologies ◽  
Technology Application ◽  
Technology Applications ◽  
The Government

The application of green technologies can reduce environmental hazards and promote sustainability. The connotation of green technology innovation has two main aspects: the first aspect is the generation of green technology from nothing to something, and the other aspect is the improvement and upgrading of existing green technology; these two aspects are related. However, from the existing research, there are relatively few studies on the process of green technology innovation from these two aspects at the same time. If green technology is not studied from this perspective, the evolutionary process and influencing factors of green technology from generation to development cannot be clarified, which is not conducive to the development of green technology and the realization of the goal of environmental friendliness. Research considers the green innovation process from R&D to upgrading linkages and analyses the roles of government departments, green technology R&D institutions, and green technology application enterprises in green technology innovation. In addition, the green technology application enterprises are considered to promote technology enhancement through technology application feedback with green technology R&D institutions. The evolutionary game model of three subjects was established, the strategic evolution process of different subjects was analyzed, the influence of each element on the strategic choice of different subjects was explored, and the stability analysis of strategic choice was conducted using simulation software. The study shows the following: (1) The greater the government’s punishment and support to green technology R&D institutions, the more favorable it is for green technology R&D institutions to carry out green technology R&D. (2) In green technology applications, if the government has no direct interest relationship with green technology application enterprises, the enterprises will choose negative response behavior. (3) The greater the technology enhancement gains of green technology R&D institutions and the greater the feedback gains of technology applications actively carried out by enterprises in response to the government’s call, the more the government departments tend to support green technology R&D.

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