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4,503 Works

Utility of the Croatian translation of the community integration questionnaire-revised in a sample of adults with moderate to severe traumatic brain injury

Dubravko Tršinski, Meri Tadinac, Žarko Bakran & Ivana Klepo
Purpose: To examine the utility of the Community Integration Questionnaire-Revised, translated into Croatian, in a sample of adults with moderate to severe traumatic brain injury. Method: The Community Integration Questionnaire-Revised was administered to a sample of 88 adults with traumatic brain injury and to a control sample matched by gender, age and education. Participants with traumatic brain injury were divided into four subgroups according to injury severity. Results: The internal consistency of the Community Integration...

Utility of the Croatian translation of the community integration questionnaire-revised in a sample of adults with moderate to severe traumatic brain injury

Dubravko Tršinski, Meri Tadinac, Žarko Bakran & Ivana Klepo
Purpose: To examine the utility of the Community Integration Questionnaire-Revised, translated into Croatian, in a sample of adults with moderate to severe traumatic brain injury. Method: The Community Integration Questionnaire-Revised was administered to a sample of 88 adults with traumatic brain injury and to a control sample matched by gender, age and education. Participants with traumatic brain injury were divided into four subgroups according to injury severity. Results: The internal consistency of the Community Integration...

Editorial Introduction to the Thematic Series “Diagnosis of Infectious Diseases by Detection of Microbial Pathogens: A Joint Session Between HemoSpec FrameWork 7 Consortium with COST Action BM1401 Raman4Clinics Working Group 2”

Evangelos J. Giamarellos-Bourboulis
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Rabies: Epidemiology, pathogenesis, and prophylaxis

Alexander K. C. Leung, H. Dele Davies & Kam-Lun Ellis Hon
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Probing Light Chain Mutation Effects on Thrombin via Molecular Dynamics Simulations and Machine Learning

Jiajie Xiao, Ryan L. Melvin & Freddie R. Salsbury
Thrombin is a key component for chemotherapeutic and antithrombotic therapy development. As the physiologic and pathologic roles of the light chain still remain vague, here, we continue previous efforts to understand the impacts of the disease-associated single deletion of LYS9 in the light chain. By combining supervised and unsupervised machine learning methodologies and more traditional structural analyses on data from 10 μs molecular dynamics simulations, we show that the conformational ensemble of the ΔK9 mutant...

Probing Light Chain Mutation Effects on Thrombin via Molecular Dynamics Simulations and Machine Learning

Jiajie Xiao, Ryan L. Melvin & Freddie R. Salsbury
Thrombin is a key component for chemotherapeutic and antithrombotic therapy development. As the physiologic and pathologic roles of the light chain still remain vague, here, we continue previous efforts to understand the impacts of the disease-associated single deletion of LYS9 in the light chain. By combining supervised and unsupervised machine learning methodologies and more traditional structural analyses on data from 10 μs molecular dynamics simulations, we show that the conformational ensemble of the ΔK9 mutant...

Exploring the Binding interaction between herring sperm DNA and sunitinib: insights from spectroscopic and molecular docking approaches

Jie-Hua Shi, Dong-Qi Pan, Kai-Li Zhou & Yan-Yue Lou
Exploring the Binding interaction between herring sperm DNA and sunitinib: insights from spectroscopic and molecular docking approaches

Exploring the Binding interaction between herring sperm DNA and sunitinib: insights from spectroscopic and molecular docking approaches

Jie-Hua Shi, Dong-Qi Pan, Kai-Li Zhou & Yan-Yue Lou
Exploring the Binding interaction between herring sperm DNA and sunitinib: insights from spectroscopic and molecular docking approaches

High occurrence rates of enrofloxacin and ciprofloxacin residues in retail poultry meat revealed by an ultra-sensitive mass-spectrometric method, and antimicrobial resistance to fluoroquinolones in Campylobacter spp

Iveta Pugajeva, Jeļena Avsejenko, Elza Judjallo, Aivars Bērziņš, Elena Bartkiene & Vadims Bartkevics
An ultra-sensitive mass spectrometric confirmation and quantification method for the determination of selected fluoroquinolones—enrofloxacin and its main metabolite ciprofloxacin—was developed and validated in poultry meat samples. The achieved limits of quantification were 1 ng kg−1 for enrofloxacin and 10 ng kg−1 for ciprofloxacin. The analysis of 40 retail poultry samples originating from Estonia, Latvia, Lithuania, Poland and France revealed that 93% of samples contained residues of enrofloxacin in the range from 3.3 to 1126 ng...

High occurrence rates of enrofloxacin and ciprofloxacin residues in retail poultry meat revealed by an ultra-sensitive mass-spectrometric method, and antimicrobial resistance to fluoroquinolones in Campylobacter spp

Iveta Pugajeva, Jeļena Avsejenko, Elza Judjallo, Aivars Bērziņš, Elena Bartkiene & Vadims Bartkevics
An ultra-sensitive mass spectrometric confirmation and quantification method for the determination of selected fluoroquinolones—enrofloxacin and its main metabolite ciprofloxacin—was developed and validated in poultry meat samples. The achieved limits of quantification were 1 ng kg−1 for enrofloxacin and 10 ng kg−1 for ciprofloxacin. The analysis of 40 retail poultry samples originating from Estonia, Latvia, Lithuania, Poland and France revealed that 93% of samples contained residues of enrofloxacin in the range from 3.3 to 1126 ng...

Hardware Design for Machine Learning

Pooja Jawandhiya
Things like growing volumes and varieties of available data, cheaper and more powerful computational processing, data storage and large-value predictions that can guide better decisions and smart actions in real time without human intervention are playing critical role in this age. All of these require models that can automatically analyse large complex data and deliver quick accurate results – even on a very large scale. Machine learning plays a significant role in developing these models....

Hardware Design for Machine Learning

Pooja Jawandhiya
Things like growing volumes and varieties of available data, cheaper and more powerful computational processing, data storage and large-value predictions that can guide better decisions and smart actions in real time without human intervention are playing critical role in this age. All of these require models that can automatically analyse large complex data and deliver quick accurate results – even on a very large scale. Machine learning plays a significant role in developing these models....

Evaluation of Psychometric and Linguistic Properties of the Italian Adolescent Pain Assessment Scales: A Systematic Review

Flavio Marti, Antonella Paladini, Giustino Varrassi & Roberto Latina
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Fast Formation of a Supramolecular Ion Gel/ Solvoplastic Elastomer with Excellent Stretchability

Shishun Bai, Xianru He, Jaana Vapaavuori & Xin Wang
This study describes a simple yet efficient approach for the preparation of an ionic gel that is also elastomeric in its solid state bulk form. A series of poly(2-(Diethylamino)ethyl methacrylate-co-Lauryl methacrylate) P(DMAEMA-co-LMA) copolymer were synthesized first by radical polymerization. Quaternization of the PDMAEMA component in THF enables the formation of supramolecular network, gave rise to an ion gel. An elastomer with excellent stretching ability was obtained from the gel. The elastomer, connected by supramolecular ionic...

Fast Formation of a Supramolecular Ion Gel/ Solvoplastic Elastomer with Excellent Stretchability

Shishun Bai, Xianru He, Jaana Vapaavuori & Xin Wang
This study describes a simple yet efficient approach for the preparation of an ionic gel that is also elastomeric in its solid state bulk form. A series of poly(2-(Diethylamino)ethyl methacrylate-co-Lauryl methacrylate) P(DMAEMA-co-LMA) copolymer were synthesized first by radical polymerization. Quaternization of the PDMAEMA component in THF enables the formation of supramolecular network, gave rise to an ion gel. An elastomer with excellent stretching ability was obtained from the gel. The elastomer, connected by supramolecular ionic...

Design matrix for AF model

Daan Van Es
This file is required when wanting to run AF modeling

The Changing Landscape of Alopecia Areata: The Translational Landscape

Etienne C.E. Wang & Angela M. Christiano
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The Changing Landscape of Alopecia Areata: The Translational Landscape

Etienne C.E. Wang & Angela M. Christiano
Article full text
The full text of this article can be found here. (link to be added).
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If you are an author of this publication and would like to provide additional enhanced content for your article then please contact adisrapidplus@springer.com. The journal offers a range of additional features designed to increase visibility and readership. All features will be thoroughly peer reviewed to ensure the content is...

ABCC8-Related Maturity-Onset Diabetes of the Young (MODY12): Clinical Features and Treatment Perspective

Alla K. Ovsyannikova, Oksana D. Rymar, Elena V. Shakhtshneider, Vadim V. Klimontov, Elena A. Koroleva, Natalya E. Myakina & Mikhail I. Voevoda
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Protist Ribosomal Reference database (PR2) - SSU rRNA gene database - old version

Daniel Vaulot & Laure Guillou
The Protist Ribosomal Reference database (PR2) provides a unique access to eukaryotic small sub-unit (SSU) ribosomal RNA and DNA sequences, with curated taxonomy. The database mainly consists of nuclear-encoded protistan sequences. However, metazoans, land plants, macrosporic fungi and eukaryotic organelles (mitochondrion, plastid and others) are also included because they are useful for the analysis of high-troughput sequencing data sets. Introns and putative chimeric sequences have been also carefully checked. Taxonomic assignation of sequences consists of...

Comparison of Artificial Neural Networks and Fuzzy Logic Approaches for Crack Detection in a Beam Like Structure

B Prakruthi Gowd, K Jayasree & Manjunath N. Hegde
This paper proposes two algorithms of crack detection one using fuzzy logic (FL) and the other artificial neural networks (ANN). Since modal parameters are very sensitive to damages, the first three relative natural frequencies are used as three inputs and the corresponding relative crack location, relative crack depth are used as the two outputs in the algorithms. The three natural frequencies for an undamaged beam and different cases of damaged beam (Single crack at various...

Comparison of Artificial Neural Networks and Fuzzy Logic Approaches for Crack Detection in a Beam Like Structure

B Prakruthi Gowd, K Jayasree & Manjunath N. Hegde
This paper proposes two algorithms of crack detection one using fuzzy logic (FL) and the other artificial neural networks (ANN). Since modal parameters are very sensitive to damages, the first three relative natural frequencies are used as three inputs and the corresponding relative crack location, relative crack depth are used as the two outputs in the algorithms. The three natural frequencies for an undamaged beam and different cases of damaged beam (Single crack at various...

A noninferiority confirmatory trial of prasugrel versus clopidogrel in Japanese patients with non-cardioembolic stroke: rationale and study design for a randomized controlled trial – PRASTRO-I trial

Takehiko Nagao, Kazunori Toyoda, Kazuo Kitagawa, Takanari Kitazono, Hiroshi Yamagami, Shinichiro Uchiyama, Norio Tanahashi, Masayasu Matsumoto, Kazuo Minematsu, Izumi Nagata, Masakatsu Nishikawa, Shinsuke Nanto, Kenji Abe, Yasuo Ikeda & Akira Ogawa
Background: This comparison of PRAsugrel and clopidogrel in Japanese patients with ischemic STROke (PRASTRO)-I trial investigates the noninferiority of prasugrel to clopidogrel sulfate in the prevention of recurrence of primary events (ischemic stroke, myocardial infarction, and death from other vascular causes), and the long-term safety of prasugrel in Japanese patients with non-cardioembolic stroke. Research design and methods: This was an active-controlled, randomized, double-blind, double-dummy, parallel-group study conducted between July 2011 and March 2016 at multiple...

A noninferiority confirmatory trial of prasugrel versus clopidogrel in Japanese patients with non-cardioembolic stroke: rationale and study design for a randomized controlled trial – PRASTRO-I trial

Takehiko Nagao, Kazunori Toyoda, Kazuo Kitagawa, Takanari Kitazono, Hiroshi Yamagami, Shinichiro Uchiyama, Norio Tanahashi, Masayasu Matsumoto, Kazuo Minematsu, Izumi Nagata, Masakatsu Nishikawa, Shinsuke Nanto, Kenji Abe, Yasuo Ikeda & Akira Ogawa
Background: This comparison of PRAsugrel and clopidogrel in Japanese patients with ischemic STROke (PRASTRO)-I trial investigates the noninferiority of prasugrel to clopidogrel sulfate in the prevention of recurrence of primary events (ischemic stroke, myocardial infarction, and death from other vascular causes), and the long-term safety of prasugrel in Japanese patients with non-cardioembolic stroke. Research design and methods: This was an active-controlled, randomized, double-blind, double-dummy, parallel-group study conducted between July 2011 and March 2016 at multiple...

Path Exchange Hybridisation Graphical User Interface Walkthrough

Andre Stephan
This video is a walk-through demonstration of the graphical user interface developed to streamline the hybridisation of process and input-output data for life cycle inventories. It is developed in Python and wxPython.

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