bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bestärkendes Lernen mittels Offline-Trajektorienplanung basierend auf iterativ approximierten Modellen
Authors: Pritzkoleit Max , Heedt Robert , Knoll Carsten , Röbenack Klaus 
Published: August 2020

Zusammenfassung
In diesem Beitrag nutzen wir Künstliche Neuronale Netze (KNN) zur Approximation der Dynamik nichtlinearer (mechanischer) Systeme. Diese iterativ approximierten neuronalen Systemmodelle werden in einer Offline-Trajektorienplanung verwendet, um eine optimale Rückführung zu bestimmen, welche auf das reale System angewandt wird. Dieser Ansatz des modellbasierten bestärkenden Lernens (engl. model-based reinforcement learning (RL)) wird am Aufschwingen des Einfachwagenpendels zunächst simulativ evaluiert und zeigt gegenüber modellfreien RL-Ansätzen eine signifikante Verbesserung der Dateneffizienz. Weiterhin zeigen wir Experimentalergebnisse an einem Versuchsstand, wobei der vorgestellte Algorithmus innerhalb weniger Versuche in der Lage ist, eine für das System optimale Rückführung hinreichend gut zu approximieren.
Development of the low-cost, smartphone-based cardiac auscultation training manikin
Authors: Karch Dominik , Kopyt Krzysztofa , Krzywon Julia , Somionka Pawel , Gorski Stanislaw , Cebula Grzegorz 
Published: August 2020

Abstract

Objectives
Cardiac auscultation remains a crucial part of physical examination. In preclinical training, there are multiple approaches for teaching that skill. Our goal was to find a compromise between expensive and complicated high-fidelity simulators and simple devices with a lack of realism.

Methods
Our project is made up of three main parts: a manikin’s torso, a specially prepared stethoscope, and a smartphone application. The position of the stethoscope’s head is recognized by Hall effect sensors inside of a manikin, and the information is sent via Bluetooth to the smartphone. Data are interpreted by the application, and proper recording is selected from sounds’ base. The user can easily adjust additional settings (e.g., main volume, playback speed, background noises). Then, the processed sound is played via a Bluetooth headset that is a part of the stethoscope.

Results
The solution that we suggest is easy to use with minimal adversely affecting the quality of learning. Handling of our device is intuitive, and minimal prior training is required. The low cost of the device itself and the widespread use of smartphones make it easy to implement.

Conclusions
We believe that this solution could be a complement for the currently used methods for teaching cardiac auscultation in preclinical training.
Die Auswirkungen der Richtlinie (EU) 2019/790 auf wissenschaftliche Bibliotheken
Authors: Gräbitz Anja 
Published: August 2020

Zusammenfassung
Dieser Artikel orientiert sich am Aufbau der DSM-Richtlinie aus dem Jahr 2019 und untersucht, wie sich die einzelnen Regelungen dieser auf wissenschaftliche Bibliotheken auswirken können. Nach einer kurzen Einleitung werden in vier Teilen, die einzelnen Abschnitten in der Richtlinie entsprechen, die neuen Bestimmungen der Richtlinie mit ihren jeweiligen juristischen Problemen dargestellt. Ein Schwerpunkt liegt dabei auf dem Text und Data Mining sowie der Nutzung von vergriffenen Werken.
Automatic detection and segmentation of adenomatous colorectal polyps during colonoscopy using Mask R-CNN
Authors: Meng Jie , Xue Linyan , Chang Ying , Zhang Jianguang , Chang Shilong , Liu Kun , Liu Shuang , Wang Bangmao , Yang Kun 
Published: August 2020

AbstractColorectal cancer (CRC) is one of the main alimentary tract system malignancies affecting people worldwide. Adenomatous polyps are precursors of CRC, and therefore, preventing the development of these lesions may also prevent subsequent malignancy. However, the adenoma detection rate (ADR), a measure of the ability of a colonoscopist to identify and remove precancerous colorectal polyps, varies significantly among endoscopists. Here, we attempt to use a convolutional neural network (CNN) to generate a unique computer-aided diagnosis (CAD) system by exploring in detail the multiple-scale performance of deep neural networks. We applied this system to 3,375 hand-labeled images from the screening colonoscopies of 1,197 patients; of whom, 3,045 were assigned to the training dataset and 330 to the testing dataset. The images were diagnosed simply as either an adenomatous or non-adenomatous polyp. When applied to the testing dataset, our CNN-CAD system achieved a mean average precision of 89.5%. We conclude that the proposed framework could increase the ADR and decrease the incidence of interval CRCs, although further validation through large multicenter trials is required.
Visual enhancement of brain cancer MRI using multiscale dyadic filter and Hilbert transformation
Authors: Vidyarthi Ankit 
Published: August 2020

Abstract
The quality of the medical image plays a major role in decision making by the radiologists. There exists a visual differentiation between the normal scene color images and medical images. Due to the low illumination and unavailability of the color parameter, medical images require more attention by radiologists for decision making. In this paper a new approach is proposed that enhances the quality of the Magnetic Resonance (MR) images. Proposed approach uses the spectral information present in form of Amplitude and Frequency within the MR image slices for an enhancement. The extracted enhanced spectral information gives better visualization as compared with original signal image generated from MR scanner. The quantitative analysis of the proposed approach suggests that the new method is far better than the traditional state-of-art image enhancement methods.
How yarn orientation limits fibrotic tissue ingrowth in a woven polyester heart valve scaffold: a case report
Authors: Meddahi-Pelle Anne , Pavon-Djavid Graciela , Chakfe Nabil , Heim Frederic 
Published: August 2020

Abstract
Transcatheter Aortic Valve Implantation (TAVI) has become today a popular alternative technique to surgical valve replacement for critical patients. However, with only six years follow up on average, little is known about the long-term durability of transcatheter implanted biological tissue. Moreover, the high cost of tissue harvesting and chemical treatment procedures favor the development of alternative synthetic valve leaflet materials. In that context, thin, strong and flexible woven fibrous constructions could be considered as interesting candidates. However, the interaction of textile material with living tissue should be comparable to biological tissue, and the Foreign Body Reaction (FBR) in particular should be controlled. Actually, the porosity of textile materials tends to induce exaggerated tissue ingrowth which may prevent the implants from remaining flexible. The purpose of this preliminary animal case study is to investigate the influence of the valve leaflet yarn orientation on the fibrotic tissue ingrowth. For that purpose the in vivo performances of 45° inclined yarn woven valve leaflets implanted in juvenile sheep model were assessed after three months implantation. Results bring out that in the frame of this case study the development of fibrosis is limited with a woven fabric valve obtained from 45° inclined yarns.
A novel lactose biosensor based on electrochemically synthesized 3,4-ethylenedioxythiophene/thiophene (EDOT/Th) copolymer
Authors: Gursoy Songul Sen , Yildiz Abdulkerim , Cogal Gamze Celik , Gursoy Oguz 
Published: August 2020

AbstractIn this study, a new lactose biosensor has been developed in which the 3,4-ethylenedioxythiophene/thiophene (EDOT/Th) copolymer is used as a transducer. The EDOT/Th copolymer was deposited on the glassy carbon electrode to be used as the working electrode. In addition to the working electrode, the three-electrode system was used in both the electrochemical synthesis and in the biosensor measurements. Lactase (β-galactosidase) that catalyzes the breakdown of lactose into monosaccharides (glucose and galactose) and galactose oxidase that catalyzes the oxidation of the resulting galactose were attached to the copolymer by a cross-linker on the modified working electrode. The response of the enzyme electrode to lactose was determined by cyclic voltammetry (CV) at +0.12 V. Enzyme electrode optimization parameters (pH, temperature, enzyme concentration, etc.) were performed. Fourier transform infrared spectroscopy, scanning electron microscopy and CV methods were used to support copolymer formation. In addition, the characteristics of the enzyme electrode prepared in this study (Km, 0.02 mM; activation energy Ea, 38 kJ/mol; linear working range, up to 1.72 mM; limit of detection, 1.9 × 10−5 M and effects of interferents [uric acid and ascorbic acid]) were determined.
Non-linear deflection and stress analysis of laminated composite sandwich plate with elliptical cutout under different transverse loadings in hygro-thermal environment
Authors: Kumar Rahul , Lal Achchhe , Sutaria B. M. 
Published: August 2020

Abstract
In this paper, non-linear transverse deflection, stress and stress concentration factors (SCF) of isotropic and laminated composite sandwich plate (LCSP) with and without elliptical cutouts subjected to various trans-verse loadings in hygrothermal environment are studied. The basic formulation is based on secant function-based shear deformation theory (SFSDT) with von-Karman nonlinearity. The governing equation of non-linear deflection is derived using C0 finite element method (FEM) through minimum potential energy approach. Normalized trans-verse maximum deflections (NTMD) along with stress concentration factor is determined by using Newton’s Raphson method through Gauss point stress extrapolation. Influence of fiber orientations, load parameters, fiber volume fractions, plate span to thickness ratios, aspect ratios, thickness of core and face, position of core, boundary conditions, environmental conditions and types of transverse loading in MATLAB R2015a environment are examined. The numerical results using present solution methodology are verified with the results available in the literatures.
A Locking-Free DPG Scheme for Timoshenko Beams
Authors: Führer Thomas , García Vera Carlos , Heuer Norbert 
Published: August 2020

Abstract
We develop a discontinuous Petrov–Galerkin scheme with optimal test functions (DPG method)
for the Timoshenko beam bending model with various boundary conditions,
combining clamped, simply supported, and free ends. Our scheme approximates
the transverse deflection and bending moment. It converges quasi-optimally
in

L
2

{L_{2}}

and is locking free. In particular, it behaves well (converges quasi-optimally)
in the limit case of the Euler–Bernoulli model.
Several numerical results illustrate the performance of our method.
Pareto domain: an invaluable source of process information
Authors: Cáceres Sepúlveda Geraldine , Ochoa Silvia , Thibault Jules 
Published: August 2020

AbstractDue to the highly competitive market and increasingly stringent environmental regulations, it is paramount to operate chemical processes at their optimal point. In a typical process, there are usually many process variables (decision variables) that need to be selected in order to achieve a set of optimal objectives for which the process will be considered to operate optimally. Because some of the objectives are often contradictory, Multi-objective optimization (MOO) can be used to find a suitable trade-off among all objectives that will satisfy the decision maker. The first step is to circumscribe a well-defined Pareto domain, corresponding to the portion of the solution domain comprised of a large number of non-dominated solutions. The second step is to rank all Pareto-optimal solutions based on some preferences of an expert of the process, this step being performed using visualization tools and/or a ranking algorithm. The last step is to implement the best solution to operate the process optimally. In this paper, after reviewing the main methods to solve MOO problems and to select the best Pareto-optimal solution, four simple MOO problems will be solved to clearly demonstrate the wealth of information on a given process that can be obtained from the MOO instead of a single aggregate objective. The four optimization case studies are the design of a PI controller, an SO2to SO3reactor, a distillation column and an acrolein reactor. Results of these optimization case studies show the benefit of generating and using the Pareto domain to gain a deeper understanding of the underlying relationships between the various process variables and performance objectives.
CFD study of heat transfer effect on nanofluid of Newtonian and non-Newtonian type under vibration
Authors: Mishra Santosh Kumar , Arora Arun , Kumar Yogesh , Sao Manoj , Chandra Hari Shankar 
Published: August 2020

Abstract
Nanofluids has significant effect on heat transfer enhancement for comparatively high Reynolds number than to low Reynolds number flow. Whereas, vibration effects reduces in significance as Reynolds number increases. This study combined these two method of heat transfer enhancement i.e. use of nanofluid flow through pipe under vibration. A grid independent CFD model used for the study was validated in various aspects such as it was validated for variation of local Nusselt number, isothermal vibrational flow and non-isoviscous viscosity model so that one could believe the results obtained from the model. A valid CFD simulations has been done to investigate the effect on heat transfer to fluid flowing from pipe subjected to a constant heat flux. Al2O3-water based nanofluid was used as Newtonian fluid as it exhibits Newtonian behavior at low concentration (∅ < 2%). In order to make it non-Newtonian in nature, mixture of Al2O3 nanoparticles and 0.5 wt% aqueous CMC solution was used. Temperature dependent viscosity and thermal conductivity relations were considered for nanofluid so that it can be effectively model as single phase fluid including factors like liquid layering, Brownian motion etc. Simulations were done for different Reynolds number, volume fraction and solid particle diameter and results were presented in the form of ratio of heat transfer coefficient of vibration flow to steady-state flow. At low Reynolds number flow, a significant increment was observed for non-Newtonian nanofluid and its effect increases for volume fraction and solid particle than that of Newtonian nanofluid for the range of simulation parameters used.
Chemistry revisited: a teacher training workshop on nutrition
Authors: Edelsztein Valeria C. , Galagovsky Lydia 
Published: August 2020

Abstract
This work presents a teaching training workshop on human nutrition topics with strong emphasis on the underlying chemical concepts. It was designed according to the Sustainable Conscious Cognitive Learning Model (SCCLM) and framed in a Context-Based Science Education (CBSE) approach. The proposal was implemented with 44 upper secondary school science teachers. It consisted of three phases. First, teachers were presented with ‘common-sense’ driven sentences on nutrition topics and they were asked if they agreed or disagreed with them. Through an oral discussion, the emergence of the teacher’s own cognitive conflicts was promoted in order to trigger subsequent motivation for achieving further knowledge. Next, main scientific ideas and related chemical concepts were presented for each sentence, along with teaching recommendations to complete a CBSE approach. Finally, teachers were asked their opinions on the didactic proposal. Results showed that teachers were motivated to learn beyond their strong initial non-scientific based ideas by questioning the reliability of the information sources. They were also willing to revisit their teaching on some of the canonical concepts of chemistry.
On the numerical semigroup generated by {bn+1+i+bn+i−1b−1∣i∈N}$\begin{array}{} \{b^{n+1+i}+\frac{b^{n+i}-1}{b-1}\mid i\in\mathbb{N}\} \end{array}$
Authors: Gu Ze 
Published: August 2020

AbstractLet b, n be two positive integers such that b ≥ 2, and S(b, n) be the numerical semigroup generated by $\begin{array}{}
\{b^{n+1+i}+\frac{b^{n+i}-1}{b-1}\mid i\in\mathbb{N}\}
\end{array}$. Applying two order relations, we give formulas for computing the embedding dimension, the Frobenius number, the type and the genus of S(b, n).
The Marshall–Olkin Transmuted-G Family of Distributions
Authors: Afify Ahmed Z. , Yousof Haitham M. , Alizadeh Morad , Ghosh Indranil , Ray Samik , Ozel Gamze 
Published: August 2020

AbstractWe introduce a new family of univariate continuous distributions called the Marshall–Olkin transmuted-G family which extends the transmuted-G family pioneered by Shaw and Buckley (2007).
Special models for the new family are provided.
Some of its mathematical properties including quantile measure, explicit expressions for the ordinary and incomplete moments, generating function, Rényi and Shannon entropies, order statistics and probability weighted moments are derived.
The estimation of the model parameters is performed by maximum likelihood.
The flexibility of the proposed family is illustrated by means of two applications to real data sets.
Dyadic bilinear estimates and applications to the well-posedness for the 2D Zakharov–Kuznetsov equation in the endpoint space 𝐻−1/4
Authors: Huo Zhaohui , Jia Yueling 
Published: August 2020

Abstract
The Cauchy problem of the 2D Zakharov–Kuznetsov equation

∂
t

⁡
u

+

∂
x

⁡

(

∂

x
⁢
x

+

∂

y
⁢
y

)

⁡
u

+

u
⁢

u
x

=
0

{\partial_{t}u+\partial_{x}(\partial_{xx}+\partial_{yy})u+uu_{x}=0}

is considered.
It is shown that the 2D Z-K equation is locally well-posed in the endpoint Sobolev space

H

-

1
/
4

{H^{-1/4}}

, and it is globally well-posed in

H

-

1
/
4

{H^{-1/4}}

with small initial data.
In this paper, we mainly establish some new dyadic bilinear estimates to obtain the results, where the main novelty is to parametrize the singularity of the resonance function in terms of a univariate polynomial.
Multiband planar antenna with CSRR loaded ground plane for WLAN and fixed satellite service applications
Authors: Pal Debasish , Singhal Rahul , Joshi Abhishek , Bandyopadhyay Ayan Kumar 
Published: August 2020

Abstract
In this paper, a novel approach to achieve multiband antenna operation using metamaterial based resonant structures is presented. Multiband antenna operation is achieved by employment of complementary split ring resonators (CSRR) printed in the ground plane. The CSRRs resonate at different frequencies according to their optimized dimensions. Proposed approach features simple design and fabrication possibility compared to other methods of achieving multiband antenna operation such as usage of composite right/left-handed (CRLH) transmission line or split ring resonators (SRR) or CSRR around the patch surface. The proposed method is demonstrated through simulation and experimental measurements using three CSRRs with different resonant frequencies together with a tuning CSRR and a radiating patch. Contribution of different CSRRs to obtain multiple resonances have been shown by surface current plots. Measured antenna gain of 2.78, 1.27 and 3.45 dB has been obtained at frequencies of 5.25, 6.28 and 7.29 GHz respectively. The measurements done on developed antenna exhibits close agreement with the simulation results. In context with the current communication application trends involving multiple operating bands like 5G, this approach may have immense application potential since the same can be adopted to achieve compact multiband antennae operation in other frequency bands of interest.
Silver electrochemical treatment of bamboo and its effect on decay fungi
Authors: Ju Zehui , He Qian , Zhan Tianyi , Zhang Haiyang , Hong Lu , Li Suxia , Chen Liangsong , Lu Xiaoning 
Published: August 2020

Abstract
In this study, a simple and effective method for preparing bamboo with high fungal resistance was first proposed. Flattened moso bamboo (Phyllostachys pubescens), which is a perishable species, was connected to a silver plate and exposed to a high-voltage electrostatic field (HEVF). The method was based on HEVF excitation of a silver plate to produce silver ions and facilitate in situ impregnation of bamboo. Silver ions were present in the forms of Ag(0), Ag(I) and Ag(III) and reacted with bamboo functional groups under HVEF treatment. X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy analysis showed that compared to those of untreated bamboo, the O/C ratio and OH content of treated bamboo were lower, the number of CHO groups decreased, the number of CO groups increased, and silver interacted with the hemicellulose and lignin of bamboo. The concentration of silver ions increased with increasing treatment time and voltage. The silver ions were nanocrystalline, and the average particle size was 50 nm. The mass loss and moisture content of the treated bamboo decreased significantly after exposure to decay fungi. Therefore, in situ impregnation of silver with HVEF was a simple and effective method to improve the durability of bamboo materials.
Wettability of welded wood-joints investigated by the Wilhelmy method: part 1. Determination of apparent contact angles, swelling, and water sorption
Authors: Vaziri Mojgan , Karlsson Olov , Abrahamsson Lars , Lin Chia-Feng , Sandberg Dick 
Published: August 2020

Abstract
This study presents a novel application of the Wilhelmy plate method on welded joints of Scots pine sapwood and beech. Welding resulted in an increase in the contact angle (increased hydrophobicity) as well as a decrease in the water uptake and swelling of the welded pine-joint compared to non-welded pine. When the welding time was extended from 4 to 5 s, these properties were further pronounced. Welding of beech, on the other hand, led to an increase in the contact angle and a decrease in the water uptake, but an increase in the swelling.
Fourier Transform Infrared spectroscopy showed that welding increased the aliphatic C–H and unsaturated C=C stretching absorption bands in pine and beech. Scanning electron microscopy showed a dense structure at the welded joints of the both species, giving evidence of a lower porosity that leads to a lower permeability as a result of the welding.
Use of LA-ICP-MS for determination of elemental concentrations of boron in preservative treated solid wood and engineered wood panels
Authors: Currie Robert B. , Kanji Bobby , Bruce Alexander , Schmidt Robert G. 
Published: August 2020

Abstract
This study has been completed to review the applicability and benefits of using laser-ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) as an analytical tool for analysis of preservative concentration and penetration across boron treated solid wood and engineered wood products. LA-ICP-MS is shown to be effective at evaluating the penetration while simultaneously measuring the elemental boron concentration profile continuously across a sample.