Long-range ordered TiO2/Au hollow urchins: topology control for maskless electrodeposition

2020 ◽  
Vol 8 (48) ◽  
pp. 26035-26044
Author(s):  
Ahmad Esmaielzadeh Kandjani ◽  
Ylias M. Sabri ◽  
Victoria E. Coyle ◽  
Christopher J. Harrison ◽  
Dilek Korcoban ◽  
...  
Keyword(s):  
Long Range ◽  
Topology Control ◽  
Colloidal Lithography ◽  
Material Deposition ◽  
Novel Approach ◽  
Ordered Nanostructures

We present a novel approach for fabricating multicomponent ordered nanostructures using colloidal lithography and electrodeposition techniques, enabling maskless, targeted and uniform material deposition.

An Innovation System for Building Manufacturing

2012 ◽  
Author(s):  
Flávio Craveiro ◽  
João Meneses de Matos ◽  
Helena Bártolo ◽  
Paulo Bártolo
Keyword(s):  
New Technologies ◽  
Innovation System ◽  
Efficient Solutions ◽  
Urban Environments ◽  
Functionally Graded ◽  
Functional Requirements ◽  
Geometric Information ◽  
Material Deposition ◽  
Novel Approach ◽  
Graded Material

Traditionally the construction sector is very conservative, risk averse and reluctant to adopt new technologies and ideas. The construction industry faces great challenges to develop more innovative and efficient solutions. In recent years, significant advances in technology and more sustainable urban environments has been creating numerous opportunities for innovation in automation. This paper proposes a new system based on extrusion-based technologies aiming at solving some limitations of current technologies to allow a more efficient building construction with organic forms and geometries, based on sustainable eco principles. This novel approach is described through a control deposition software. Current modeling techniques focus only on capturing the geometric information and cannot satisfy the requirements from modeling the components made of multi-heterogeneous materials. There is a great deal of interest in tailoring structures so the functional requirements can vary with location. The proposed functionally graded material deposition (FGM) system will allow a smooth variation of material properties to build up more efficient buildings regarding thermal, acoustic and structural conditions.

A novel approach to grow ZnOnanowires and nanoholes by combined colloidal lithography and MOCVD deposition

2009 ◽  
pp. 839-841 ◽  
Author(s):  
Maria Elena Fragalà ◽  
Cristina Satriano ◽  
Graziella Malandrino
Keyword(s):  
Colloidal Lithography ◽  
Novel Approach

scholarly journals Mapping protein electron transfer pathways with QM/MM methods

2008 ◽  
Vol 5 (suppl_3) ◽  
pp. 233-239 ◽  
Author(s):  
Victor Guallar ◽  
Frank Wallrapp
Keyword(s):  
Electron Transfer ◽  
Long Range ◽  
Ascorbate Peroxidase ◽  
Hybrid Methods ◽  
Protein Complexes ◽  
Small Subset ◽  
Protein Substrate ◽  
Electron Transfer Pathway ◽  
Novel Approach ◽  
Protein Electron Transfer

Mixed quantum mechanics/molecular mechanics (QM/MM) methods offer a valuable computational tool for understanding the electron transfer pathway in protein–substrate interactions and protein–protein complexes. These hybrid methods are capable of solving the Schrödinger equation on a small subset of the protein, the quantum region, describing its electronic structure under the polarization effects of the remainder of the protein. By selectively turning on and off different residues in the quantum region, we are able to obtain the electron pathway for short- and large-range interactions. Here, we summarize recent studies involving the protein–substrate interaction in cytochrome P450 camphor, ascorbate peroxidase and cytochrome c peroxidase, and propose a novel approach for the long-range protein–protein electron transfer. The results on ascorbate peroxidase and cytochrome c peroxidase reveal the importance of the propionate groups in the electron transfer pathway. The long-range protein–protein electron transfer has been studied on the cytochrome c peroxidase–cytochrome c complex. The results indicate the importance of Phe82 and Cys81 on cytochrome c , and of Asn196, Ala194, Ala176 and His175 on cytochrome c peroxidase.

scholarly journals Long Range PCR-based deep sequencing for haplotype determination in mixed HCMV infections

2021 ◽  
Author(s):  
Nadja Brait ◽  
Busra Kulekci ◽  
Irene Goerzer
Keyword(s):  
Long Range ◽  
Total Error ◽  
Haplotype Diversity ◽  
Gc Content ◽  
Amplicon Sequencing ◽  
Lower Sensitivity ◽  
Total Error Rate ◽  
Hcmv Strain ◽  
Novel Approach ◽  
Long Range Pcr

Short read sequencing, which has extensively been used to decipher the genome diversity of human cytomegalovirus (HCMV) strains, often falls short to assess co-linearity of non-adjacent polymorphic sites in mixed HCMV populations. In the present study, we established a long amplicon sequencing workflow to identify number and relative quantities of unique HCMV haplotypes in mixtures. Accordingly, long read PacBio sequencing was applied to amplicons spanning over multiple polymorphic sites. Initial validation of this approach was performed with defined HCMV DNA templates derived from cell-free viruses and was further tested for its suitability on patient samples carrying mixed HCMV infections. Our data show that artificial HCMV DNA mixtures were correctly determined upon long amplicon sequencing down to 1% abundance of the minor DNA source. Total error rate of mapped reads ranged from 0.17 to 0.43 depending on the stringency of quality trimming. PCR products of up to 7.7 kb and a GC content <55% were efficiently generated when DNA was directly isolated from bronchoalveolar lavage samples, yet long range PCR may display a slightly lower sensitivity compared to short amplicons. In a single sample, up to three distinct haplotypes were identified showing varying relative frequencies. Intra-patient haplotype diversity is unevenly distributed across the target site and often interspersed by long identical stretches, thus unable to be linked by short reads. Moreover, diversity at single polymorphic regions as assessed by short amplicon sequencing may markedly underestimate the overall diversity of mixed populations. Quantitative haplotype determination by long amplicon sequencing provides a novel approach for HCMV strain characterisation in mixed infected samples which can be scaled up to cover the majority of the genome. This will substantially improve our understanding of intra-host HCMV strain diversity and its dynamic behaviour.

scholarly journals FTTCNF- Novel Approach for Fault Tolerant Topology Control in Manet

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Dr. D. Manohari, Et. al.
Keyword(s):  
Data Transmission ◽  
Topology Control ◽  
Fault Tolerant ◽  
Fuzzy Rule ◽  
Threshold Level ◽  
Stability Factor ◽  
Novel Approach ◽  
Control Message ◽  
Path Stability ◽  
Control Packets

In wireless networks it is observed that as nodes move unpredictably sudden link disconnections occur during transmission. This leads to frequent path changes and multiple path discoveries which subsequently increase transmission of control packets in network. The nodes in the network simply rebroadcast the received route request (RREQ) packet if they do not have the route to the required destination. In addition to this, frequent hello messages for neighbour set construction and maintenance also increase control message count in the network causing a flooding issue. In order to mitigate these problems, the proposed Fault Tolerant Topology Control Neuro Fuzzy method (FTTCNF), incorporates measures to improve the network stability and to reduce the control packets in the network. These measure 1.reduce control message transmissions among neighbours by  finding a stable path 2. neighbour node distance is computed based on the reception of a signal strength Indication (RSSI), 3. path stability  is  decided by the link expiry time (LET) which can be used to predict the neighbour mobility deviations. These factors, ( above mentioned distance, path stability factor  PSF, and LET) are subjected to the fuzzification process to identify the fuzzy rule values and are given as input to the neuron formation stage. Final neuron value is computed for all available paths and the maximum value path is chosen for data transmission. Energy level monitoring is also applied at each node to check the node’s current energy and should it go below the energy threshold level the node by itself, joining the routing process is avoided. Simulation results have proved that the proposed method significantly reduces the routing overhead and improves the stability of path during data transmission.

A Novel Approach To Produce Biologically Relevant Chemical Patterns at the Nanometer Scale:  Selective Molecular Assembly Patterning Combined with Colloidal Lithography

Langmuir ◽  
2002 ◽  
Vol 18 (22) ◽  
pp. 8580-8586 ◽  
Author(s):  
Roger Michel ◽  
Ilya Reviakine ◽  
Duncan Sutherland ◽  
Christian Fokas ◽  
Gabor Csucs ◽  
...  
Keyword(s):  
Molecular Assembly ◽  
Nanometer Scale ◽  
Colloidal Lithography ◽  
Biologically Relevant ◽  
Novel Approach

Building uniform and long-range ordered nanostructures on a surface by nucleation on a point defect array

2006 ◽  
Vol 18 (13) ◽  
pp. S17-S26 ◽  
Author(s):  
V Repain ◽  
S Rohart ◽  
Y Girard ◽  
A Tejeda ◽  
S Rousset
Keyword(s):  
Point Defect ◽  
Long Range ◽  
Ordered Nanostructures

The fabrication of long-range ordered nanocrescent structures based on colloidal lithography and parallel imprinting

2013 ◽  
Vol 24 (10) ◽  
pp. 105307 ◽  
Author(s):  
Zibo Li ◽  
Xuemin Zhang ◽  
Shunsheng Ye ◽  
Jingnan Zhang ◽  
Tieqiang Wang ◽  
...  
Keyword(s):  
Long Range ◽  
Colloidal Lithography
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