scholarly journals Luminescent Organic Barcode Nanowires for Effective Chemical Sensors

Polymers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 662
Author(s):  
Jinho Choi ◽  
Seokho Kim ◽  
Jung Park ◽  
Seung Lee ◽  
Young Seo ◽  
...  
Keyword(s):  
Chemical Sensors ◽  
High Performance ◽  
Electrochemical Polymerization ◽  
Alkali Treatment ◽  
The Past ◽  
Nanoporous Template ◽  
Alumina Oxide ◽  
Ph Scale ◽  
Polymer Nanowires ◽  
Chemical Materials

Chemical materials are sometimes harmful to the environment as well as humans, plants, and animals. Thus, high-performance sensor systems have become more important in the past few decades. To achieve pH scale sensing in nanosystems, we applied luminescence polymer nanowires with alumina oxide template method with electrochemical polymerization. We made polymer nanowire barcode by alternately stacking poly(3-methylthiophene) (P3MT) and poly(3,4-ethylenedioxythiophene) (PEDOT) in a nanoporous template. After polymerization, a hydrofluoric acid solvent was used to remove the template, and, for changing the pH scale, we used sodium hydroxide. We measured optical properties of each part of barcode using Raman scattering and photoluminescence and confirmed that only P3MT was changed by alkali treatment.

Performance Management Transformation

2020 ◽  
Keyword(s):  
Organizational Performance ◽  
Performance Management ◽  
High Performance ◽  
Best Practice ◽  
Call To Action ◽  
Daily Work ◽  
The Past ◽  
Great Debate ◽  
The Subject ◽  
New Research

No other talent process has been the subject of such great debate and emotion as performance management (PM). For decades, different strategies have been tried to improve PM processes, yielding an endless cycle of reform to capture the next “flavor-of-the-day” PM trend. The past 5 years, however, have brought novel thinking that is different from past trends. Companies are reducing their formal processes, driving performance-based cultures, and embedding effective PM behavior into daily work rather than relying on annual reviews to drive these. Through case studies provided from leading organizations, this book illustrates the range of PM processes that companies are using today. These show a shift away from adopting someone else’s best practice; instead, companies are designing bespoke PM processes that fit their specific strategy, climate, and needs. Leading PM thought leaders offer their views about the state of PM today, what we have learned and where we need to focus future efforts, including provocative new research that shows what matters most in driving high performance. This book is a call to action for talent management professionals to go beyond traditional best practice and provide thought leadership in designing PM processes and systems that will enhance both individual and organizational performance.

Fused Ambipolar Aza-isoindigos with NIR absorption

2021 ◽  
Author(s):  
Liping Yao ◽  
Danlei Zhu ◽  
Hailiang Liao ◽  
Sheik Haseena ◽  
Mahesh kumar Ravva ◽  
...  
Keyword(s):  
Organic Semiconductors ◽  
High Performance ◽  
Low Cost ◽  
Light Weight ◽  
The Past ◽  
Pi Conjugated ◽  
Nir Absorption ◽  
Conjugated Organic Semiconductors

Due to their advantages of low-cost, light-weight, and mechanical flexibility, much attention has been focused on pi-conjugated organic semiconductors. In the past decade, although many materials with high performance has...

scholarly journals Analysis of the Mycosporine-Like Amino Acid (MAA) Pattern of the Salt Marsh Red Alga Bostrychia scorpioides

Marine Drugs ◽  
2021 ◽  
Vol 19 (6) ◽  
pp. 321
Author(s):  
Maria Orfanoudaki ◽  
Anja Hartmann ◽  
Julia Mayr ◽  
Félix L. Figueroa ◽  
Julia Vega ◽  
...  
Keyword(s):  
Amino Acids ◽  
High Performance Liquid Chromatography ◽  
High Performance ◽  
Red Alga ◽  
Array Detector ◽  
Diode Array ◽  
Diode Array Detector ◽  
The Past ◽  
Specific Species

This study presents the validation of a high-performance liquid chromatography diode array detector (HPLC-DAD) method for the determination of different mycosporine-like amino acids (MAAs) in the red alga Bostrychia scorpioides. The investigated MAAs, named bostrychines, have only been found in this specific species so far. The developed HPLC-DAD method was successfully applied for the quantification of the major MAAs in Bostrychia scorpioides extracts, collected from four different countries in Europe showing only minor differences between the investigated samples. In the past, several Bostrychia spp. have been reported to include cryptic species, and in some cases such as B. calliptera, B. simpliciuscula, and B. moritziana, the polyphyly was supported by differences in their MAA composition. The uniformity in the MAA composition of the investigated B. scorpioides samples is in agreement with the reported monophyly of this Bostrychia sp.

A recent overview on the porphyrin-based π-extended small molecules as donors and acceptors for high-performance organic solar cells

2021 ◽  
Author(s):  
Venkatesh Piradi ◽  
Feng Yan ◽  
Xunjin Zhu ◽  
Wai-Yeung Raymond Wong
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Small Molecules ◽  
Organic Solar Cells ◽  
High Performance ◽  
Cost Effective ◽  
Effective Alternative ◽  
The Past ◽  
Cost Effective Alternative ◽  
Silicon Based

Organic solar cells (OSCs) have been considered as a promising cost-effective alternative to silicon-based solar cell counterparts due to their lightweight, mechanical flexibility, and easy fabrication features. Over the past...

scholarly journals Design aspects of (super)hydrophobic mesh based oil-collecting device with improved efficiency

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Weikang Xu ◽  
Zhentao Zhang ◽  
Xiaomei Cai ◽  
Yazhen Hong ◽  
Tianliang Lin ◽  
...  
Keyword(s):  
3D Printing ◽  
Water Surface ◽  
High Performance ◽  
Oil Spills ◽  
Real Life ◽  
Oily Wastewater ◽  
Coating Materials ◽  
The Past ◽  
Oil Storage ◽  
Future Success

AbstractEffective treatment of frequent oil spills and endless discharged oily wastewater is crucial for the ecosystem and human health. In the past two decades, the collection of oil from water surface has been widely studied through the simple fabrication of superhydrophobic meshes with various coating materials, but little attention is paid to the design aspects of the meshes based oil-collecting device and practical oil collection. Here, 3D-printing devices with different configurations of (super)hydrophobic meshes, circular truncated cone (CTC), cylinder and inverted CTC, and the same inverted cone-shaped structure (below the meshes for temporary oil storage) are investigated. Results demonstrate that the CTC meshes based device especially for an oblate one not only shows higher stability and discharge of the collected oils than previous reports, but also allows floating oils to enter the (super)hydrophobic mesh faster. We anticipate that future success in developing high-performance (super)hydrophobic meshes and the further optimization of the CTC mesh-based device parameters will make our proposed device more practical for the treatment of real-life oil spills.

Facile alkali-assisted synthesis of g-C3N4 materials and their high-performance catalytic application in solvent-free cycloaddition of CO2 to epoxides

RSC Advances ◽  
2016 ◽  
Vol 6 (60) ◽  
pp. 55382-55392 ◽  
Author(s):  
Jie Xu ◽  
Jie-Kun Shang ◽  
Quan Jiang ◽  
Yue Wang ◽  
Yong-Xin Li
Keyword(s):  
High Performance ◽  
Alkali Treatment ◽  
Solvent Free ◽  
Catalytic Activities ◽  
Catalytic Application

g-C3N4 materials have been prepared at lower temperatures (450–475 °C) by the aid of alkali treatment. In cycloaddition of CO2 to epoxides, the g-C3N4 materials demonstrated high and stable catalytic activities.

Two-Dimensional InSb/GaAs- and InSb/InP-based Tandem Photovoltaic Device with Matched Bandgap

Nanoscale ◽  
2022 ◽  
Author(s):  
Meiqiu Xie ◽  
Xuhai Liu ◽  
Yang Li ◽  
Xing'ao Li
Keyword(s):  
High Performance ◽  
Fossil Fuels ◽  
Photovoltaic Device ◽  
Energy Crisis ◽  
Two Dimensional ◽  
The Past

The past several years have witnessed remarkable research efforts to develop high-performance photovoltaics (PVs), to curtail energy crisis by avoiding dependence on traditional fossil fuels. In this regard, it is...

Recent advances, challenges and prospects in ternary organic solar cells

Nanoscale ◽  
2021 ◽  
Author(s):  
Congcong Zhao ◽  
Jiuxing Wang ◽  
Xuanyi Zhao ◽  
Zhonglin Du ◽  
Renqiang Yang ◽  
...  
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
High Performance ◽  
Power Conversion ◽  
The Past ◽  
Recent Advances ◽  
Conversion Efficiencies

The past decade has seen a tremendous development of organic solar cells (OSCs). To date, the high-performance OSCs have boosted the power conversion efficiencies (PCEs) over 17%, showing bright prospects...

High Aspect Ratio Conjugated Polymer Nanowires for High Performance Field-Effect Transistors and Phototransistors

ACS Nano ◽  
2015 ◽  
Vol 9 (5) ◽  
pp. 5264-5274 ◽  
Author(s):  
Hyun Ah Um ◽  
Dae Hee Lee ◽  
Dong Uk Heo ◽  
Da Seul Yang ◽  
Jicheol Shin ◽  
...  
Keyword(s):  
Aspect Ratio ◽  
High Aspect Ratio ◽  
Conjugated Polymer ◽  
Field Effect ◽  
High Performance ◽  
Field Effect Transistors ◽  
Polymer Nanowires

scholarly journals An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks

2021 ◽  
Author(s):  
Harisu Abdullahi Shehu ◽  
William Browne ◽  
Hedwig Eisenbarth
Keyword(s):  
Emotion Recognition ◽  
High Performance ◽  
Input Image ◽  
Large Decrease ◽  
Facial Landmarks ◽  
The Past ◽  
Homogeneous Representation ◽  
Small Change ◽  
Deep Learning Model ◽  
Representation Of Knowledge

Emotion recognition has become an increasingly important area of research due to the increasing number of CCTV cameras in the past few years. Deep network-based methods have made impressive progress in performing emotion recognition-based tasks, achieving high performance on many datasets and their related competitions such as the ImageNet challenge. However, deep networks are vulnerable to adversarial attacks. Due to their homogeneous representation of knowledge across all images, a small change to the input image made by an adversary might result in a large decrease in the accuracy of the algorithm. By detecting heterogeneous facial landmarks using the machine learning library Dlib we hypothesize we can build robustness to adversarial attacks. The residual neural network (ResNet) model has been used as an example of a deep learning model. While the accuracy achieved by ResNet showed a decrease of up to 22%, our proposed approach has shown strong resistance to an attack and showed only a little (< 0.3%) or no decrease when the attack is launched on the data. Furthermore, the proposed approach has shown considerably less execution time compared to the ResNet model.

Sign in / Sign up

Export Citation Format

Share Document