Development of New Glass Phosphor for Multimodal Artifact Metrics Applicable for Ceramics

2018 ◽  
Vol 940 ◽  
pp. 109-113
Author(s):  
Masaki Fujikawa ◽  
Mariko Hara ◽  
Shingo Fuchi
Keyword(s):  
Emission Intensity ◽  
Base Material ◽  
Optical Excitation ◽  
Observation Point ◽  
Phosphor Powder ◽  
Novel Approach ◽  
New Type ◽  
Glass Phosphor ◽  
Feature Information ◽  
Different Color

Multi-modal artifact metrics, an anti-counterfeiting technique, was created based on the concept of multi-modal biometrics and can improve the certainty of authenticity and difficulty of counterfeiting as it gives more than one characteristic information to the artifact. In order to give two optical feature information (hue and emission intensity) into the ceramic products, we develop a new type of glass phosphor. This is a novel approach, since up-conversion phosphors with different color hue and emission intensity at each observation point on the material by optical excitation have never been reported. By welding a small amount of phosphor powder onto the surface of the ceramics, the certainty of authenticity and difficulty of counterfeiting would be enhanced than an existing method we proposed. Based on our experiment, we found appropriate blending ratio of two types of rare earth oxides for making glass phosphor with above-mentioned emission characteristics. These characteristics could be seen in other glass phosphor created by different base material glass with same blending ratio.

Synthesis of Multi-Substituted Bicycloalkyl Boronates: An Intramolecular Coupling Approach to Alkyl Bioisosteres

2021 ◽  
Author(s):  
Yangyang Yang ◽  
Jet Tsien ◽  
Jonathan Hughes ◽  
Byron Peters ◽  
Rohan Merchant ◽  
...  
Keyword(s):  
Intramolecular Cyclization ◽  
Material Chemistry ◽  
Novel Approach ◽  
Coupling Approach ◽  
New Type ◽  
Strain Release ◽  
Synthetic Studies ◽  
Bicyclic Molecules

<p>Bicyclic hydrocarbons, bicyclo[1.1.1]pentanes (BCPs) in particular, play an emerging role as saturated bioisosteres in pharmaceutical, agrochemical, and material chemistry. Taking advantage of strain release strategies, prior synthetic studies have featured the synthesis of bridgehead-substituted (C1, C3) BCPs from [1.1.1]propellane. This work describes a novel approach to accessing multi-substituted BCPs via a new type of intramolecular cyclization. In addition to the C1, C3-disubstituted BCPs, this method also enables the construction of yet underexplored tri-substituted (C1, C2 and C3) BCPs from readily accessible cyclobutanones. The broad generality of this cyclization is examined through synthesis of a variety of caged bicyclic molecules, ranging from [1.1.1] to [3.2.1] scaffolds. The modularity afforded by the pendant bridgehead Bpin resulted from the cyclization is demonstrated via several downstream functionalizations, highlighting the ability of this approach for programmed and divergent synthesis of multi-substituted bicyclic hydrocarbons.<br></p>

scholarly journals A Targeted Catalytic Nanobody (T-CAN) with Asparaginolytic Activity

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5637
Author(s):  
Maristella Maggi ◽  
Greta Pessino ◽  
Isabella Guardamagna ◽  
Leonardo Lonati ◽  
Cristina Pulimeno ◽  
...  
Keyword(s):  
Lymphoblastic Leukemia ◽  
Cell Surface Receptor ◽  
Single Domain Antibody ◽  
Antibody Drug Conjugate ◽  
E Coli ◽  
Novel Approach ◽  
Innovative Solutions ◽  
Surface Receptor ◽  
New Type

E. coli L-asparaginase is an amidohydrolase (EC 3.5.1.1) which has been successfully used for the treatment of Acute Lymphoblastic Leukemia for over 50 years. Despite its efficacy, its side effects, and especially its intrinsic immunogenicity, hamper its usage in a significant subset of cases, thus limiting therapeutic options. Innovative solutions to improve on these drawbacks have been attempted, but none of them have been truly successful so far. In this work, we fully replaced the enzyme scaffold, generating an active, miniaturized form of L-asparaginase by protein engineering of a camel single domain antibody, a class of antibodies known to have a limited immunogenicity in humans. We then targeted it onto tumor cells by an antibody scFv fragment directed onto the CD19 B-cell surface receptor expressed on ALL cells. We named this new type of nanobody-based antibody-drug conjugate “Targeted Catalytic Nanobody” (T-CAN). The new molecule retains the catalytic activity and the binding capability of the original modules and successfully targets CD19 expressing cells in vitro. Thanks to its theoretically reduced immunogenic potential compared to the original molecule, the T-CAN can represent a novel approach to tackle current limitations in L-asparaginase usage.

Feature Subspace Estimation for Resolving Dimensionality Mismatch in Practical Color-Based Face Recognition Systems

2016 ◽  
Vol 30 (04) ◽  
pp. 1656004 ◽  
Author(s):  
Jae Young Choi
Keyword(s):  
Face Recognition ◽  
Color Image ◽  
Recognition Performance ◽  
Real Life ◽  
Practical Applications ◽  
Novel Approach ◽  
Feature Subspace ◽  
New Feature ◽  
Different Color ◽  
Input Level

Recently, considerable research efforts have been devoted to effective utilization of facial color information for improved recognition performance. Of all color-based face recognition (FR) methods, the most widely used approach is a color FR method using input-level fusion. In this method, augmented input vectors of the color images are first generated by concatenating different color components (including both luminance and chrominance information) by column order at the input level and feature subspace is then trained with a set of augmented input vectors. However, in practical applications, a testing image could be captured as a grayscale image, rather than as a color image, mainly caused by different, heterogeneous image acquisition environment. A grayscale testing image causes so-called dimensionality mismatch between the trained feature subspace and testing input vector. Disparity in dimensionality negatively impacts the reliable FR performance and even imposes a significant restriction on carrying out FR operations in practical color FR systems. To resolve the dimensionality mismatch, we propose a novel approach to estimate new feature subspace, suitable for recognizing a grayscale testing image. In particular, new feature subspace is estimated from a given feature subspace created using color training images. The effectiveness of proposed solution has been successfully tested on four public face databases (DBs) such as CMU, FERET, XM2VTSDB, and ORL DBs. Extensive and comparative experiments showed that the proposed solution works well for resolving dimensionality mismatch of importance in real-life color FR systems.

Model and Infrastructure for Communications in Context-Aware Services

2011 ◽  
pp. 472-486
Author(s):  
Cristina Rodriguez-Sanchez ◽  
Susana Borromeo ◽  
Juan Hernandez-Tamames
Keyword(s):  
Mobile Communications ◽  
Local Environment ◽  
Local Context ◽  
Context Aware ◽  
The Novel ◽  
Novel Approach ◽  
Complex Process ◽  
Wide Range ◽  
Ambient Intelligent ◽  
New Type

The appearance of concepts such as “Ambient Intelligent”, “Ubiquitous Computing” and “Context-Awareness” is causing the development of a new type of services called “Context-Aware Services” that in turn may affect users of mobile communications. This technology revolution is a a complex process because of the heterogeneity of contents, devices, objects, technologies, resources and users that can coexist at the same local environment. The novel approach of our work is the development of a ”Local Infrastructure” in order to provide intelligent, transparent and adaptable services to the user as well as to solve the problem of local context control. Two contributions will be presented: conceptual model for developing a local infrastructure and an architecture design to control the service offered by the local infrastructure. This infrastructure proposed consists of an intelligent device network to link the personal portable device with the contextual services. The device design is modular, flexible, scalable, adaptable and reconfigurable remotely in order to tolerate new demanding services whenever are needed. Finally, the result suggests that we will be able to develop a wide range of new and useful applications, not conceived at origin.

scholarly journals Micro formed holographic security features in steel

2018 ◽  
Vol 190 ◽  
pp. 10002
Author(s):  
Eckart Uhlmann ◽  
Stephanie Schulze ◽  
née Frenzel ◽  
Julian Polte ◽  
Christoph Hein ◽  
...  
Keyword(s):  
Vapour Deposition ◽  
Base Material ◽  
High Strength ◽  
Spring Steel ◽  
Product Integration ◽  
Business Results ◽  
Brand Reputation ◽  
Novel Approach ◽  
Preliminary Study ◽  
The Individual

Counterfeiting, with a global trade volume of approximately 450 billion euro a year compromises business results of companies in all industrial segments. At worst, product plagiarism causes severe damages to the individual brand reputation due to product defects or liability issues. Therefore, product integration of inseparable and unique security features is essential for a preserving market share in all manufacturing branches. This paper presents a novel approach regarding a replication technology for the manufacturing of holographic security features. Using a microstructured aluminium substrate with holographic properties as a base material, a forming die is manufactured by a combination of physical vapour deposition (PVD) and galvanic coating processes. Furthermore, a process adapted hardness progression between individual layers was created. By the use of this die, the forming of a holographic microstructure into high strength aluminium alloy (3.3547) and spring steel (1.1248) could be demonstrated within a preliminary study.

Comparison of Experimental and Computational Characteristics of Light Perimeter Walls of Wooden Buildings

2014 ◽  
Vol 1020 ◽  
pp. 25-30
Author(s):  
Marianna Šuštiaková ◽  
Pavol Ďurica ◽  
Radoslav Ponechal ◽  
Marek Cangár
Keyword(s):  
Computational Model ◽  
Base Material ◽  
Experimental Measurements ◽  
Dynamic Simulations ◽  
Hygrothermal Behavior ◽  
Temperature And Humidity ◽  
Different Color

The paper evaluated thermo-technical characteristics of the experimental walls, consisting of five different tracks in three different color surfaces at different base material. The hygrothermal behavior of the structures and layers is monitored year-round. The computational model of the laboratory room and tested samples is compiled and debugged on the basis of experimental measurements. The dynamic simulations of temperature and humidity parameters were realized.

scholarly journals An optimal observable for color singlet identification

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Andy Buckley ◽  
Giuseppe Callea ◽  
Andrew Larkoski ◽  
Simone Marzani
Keyword(s):  
Hadronic Decays ◽  
Color Singlet ◽  
Matrix Elements ◽  
Leading Order ◽  
Novel Approach ◽  
Optimal Observable ◽  
Different Color ◽  
Electroweak Boson ◽  
Two Jets ◽  
Sensitive Observables

We present a novel approach to construct a color singlet tagger, i.e.~an observable that is able to discriminate the decay of a color-singlet into two jets from a two-jet background in a different color configuration. We do this by explicitly taking the ratio of the corresponding leading-order matrix elements in the soft limit, thus obtaining an observable that is provably optimal within our approximation. We call this observable the ``jet color ring" and we compare its performance to other color-sensitive observables such as jet pull and dipolarity. We also assess the performance of the jet color ring in simulations by applying it to the case of the hadronic decays of a boosted Higgs boson and of an electroweak boson.

scholarly journals Controlled Release of Flavor Substances from Sesame-Oil-Based Oleogels Prepared Using Biological Waxes or Monoglycerides

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1828
Author(s):  
Min Pang ◽  
Lulu Cao ◽  
Shengmei Kang ◽  
Shaotong Jiang ◽  
Lili Cao
Keyword(s):  
Controlled Release ◽  
Volatile Compounds ◽  
Self Assembly ◽  
Saturated Vapor ◽  
Sesame Oil ◽  
Vapor Pressures ◽  
K Value ◽  
Gelling Agents ◽  
Novel Approach ◽  
New Type

The flavor substances in sesame oil (SO) are volatile and unstable, which causes a decrease in the flavor characteristics and quality of SO during storage. In this study, the effect of gelation on the release of flavor substances in SO was investigated by preparing biological waxes and monoglycerides oleogels. The results showed that the release of flavor substances in SO in an open environment is in accordance with the Weibull equation kinetics. The oleogels were found to retard the release of volatiles with high saturated vapor pressures and low hydrophobic constants in SO. The release rate constant k value of 2-methylpyazine in BW oleogel is 0.0022, showing the best retention effect. In contrast, the addition of gelling agents had no significant retention effect on the release of volatiles with low saturated vapor pressures or high hydrophobic constants in SO, and even promoted the release of these compounds to some extent. This may be due to the hydrophilic structural domains formed by the self-assembly of gelling agents, which reduces the hydrophobicity of SO. This work provides a novel approach for retaining volatile compounds in flavored vegetable oils. As a new type of flavor delivery system, oleogels can realize the controlled release of volatile compounds.

scholarly journals Differential Tractography as a Track-Based Biomarker for Neuronal Injury

2019 ◽  
Author(s):  
Fang-Cheng Yeh ◽  
Islam M. Zaydan ◽  
Valerie R. Suski ◽  
David Lacomis ◽  
R. Mark Richardson ◽  
...  
Keyword(s):  
Clinical Symptoms ◽  
Neuronal Injury ◽  
Brain Diseases ◽  
False Discovery ◽  
Novel Approach ◽  
Mri Scans ◽  
New Type ◽  
Reliability Measurement ◽  
Lateral Sclerosis ◽  
Tracking Strategy

AbstractDiffusion MRI tractography has been used to map the axonal structure of human brain, but its ability to detect neuronal injury is yet to be explored. Here we report differential tractography, a new type of tractography that utilizes repeat MRI scans and a novel tracking strategy to map the exact segment of fiber pathways with a neuronal injury. We examined differential tractography on multiple sclerosis, Huntington disease, amyotrophic lateral sclerosis, and epileptic patients. The results showed that the affected pathways shown by differential tractography matched well with the unique clinical symptoms of the patients, and the false discovery rate of the findings could be estimated using a sham setting to provide a reliability measurement. This novel approach enables a quantitative and objective method to monitor neuronal injury in individuals, allowing for diagnostic and prognostic evaluation of brain diseases.

scholarly journals A Novel Approach to Shadow Boundary Detection Based on an Adaptive Direction-Tracking Filter for Brain-Machine Interface Applications

2020 ◽  
Vol 10 (19) ◽  
pp. 6761
Author(s):  
Ziyi Ju ◽  
Li Gun ◽  
Amir Hussain ◽  
Mufti Mahmud ◽  
Cosimo Ieracitano
Keyword(s):  
Support Vector ◽  
Brain Machine Interface ◽  
Shadow Boundary ◽  
Reporting Accuracy ◽  
Novel Approach ◽  
Machine Interface ◽  
Feature Information ◽  
Comparative Results ◽  
Tracking Filter ◽  
Accuracy Rates

In this paper, a Brain-Machine Interface (BMI) system is proposed to automatically control the navigation of wheelchairs by detecting the shadows on their route. In this context, a new algorithm to detect shadows in a single image is proposed. Specifically, a novel adaptive direction tracking filter (ADT) is developed to extract feature information along the direction of shadow boundaries. The proposed algorithm avoids extraction of features around all directions of pixels, which significantly improves the efficiency and accuracy of shadow features extraction. Higher-order statistics (HOS) features such as skewness and kurtosis in addition to other optical features are used as input to different Machine Learning (ML) based classifiers, specifically, a Multilayer Perceptron (MLP), Autoencoder (AE), 1D-Convolutional Neural Network (1D-CNN) and Support Vector Machine (SVM), to perform the shadow boundaries detection task. Comparative results demonstrate that the proposed MLP-based system outperforms all the other state-of-the-art approaches, reporting accuracy rates up to 84.63%.

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