bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sign-Changing Solutions of Fractional 𝑝-Laplacian Problems
Authors: Chang Xiaojun , Nie Zhaohu , Wang Zhi-Qiang 
Published: November 2018

Abstract
In this paper, we obtain the existence and multiplicity of sign-changing solutions of the fractional p-Laplacian problems by applying the method of invariant sets of descending flow and minimax theory. In addition, we prove that the problem admits at least one least energy sign-changing solution by combining the Nehari manifold method with the constrained variational method and Brouwer degree theory. Furthermore, the least energy of sign-changing solutions is shown to exceed twice that of the least energy solutions.
Transforming faces: Supporting second language learners studying speech-language therapy in global contexts
Authors: Bell Nancy 
Published: November 2018

Abstract
The Transforming Faces project is a partnership of speech-language therapy (SLT) educators and practitioners that is co-creating a computer-based series of lecture modules for use in Low Middle Income Countries (LMICs). The initial series of lectures is in English, for use by English speaking instructors and students whose first language is not English. Making the technically challenging and content-specific language of the lectures more accessible and comprehensible to students was the focus of this study. A review of literature from three areas of language learning led to recommendations for consideration in the development of the computer-based lectures modules, and the subsequent piloting of the modules in Addis Ababa, Ethiopia. Following the three-week pilot project, analysis of feedback from the instructor and the students resulted in a number of recommendations for the continued development and implementation of the dysphagia lectures, as well as potential future SLT courses in other global contexts.
Studies of Structural Changes in PAN Fibers with Various Initial Structures under the Influence of Thermal Treatment in Media
Authors: Marczak Ewa , Marczak Piotr , Sztajnowski Sławomir , Lipp-Symonowicz Barbara 
Published: November 2018

Abstract
The aim of the paper is to assess the range and the mechanisms of transformations of the molecular structure and the physical microstructure of polyacrylonitrile (PAN) fibers produced by various manufacturers under the influence of thermal treatment in different conditions. The thermal treatments were carried out in different media (such as air, water, and steam), at various temperatures, and using different periods of treatment. Changes in the molecular structure were assessed using infrared (IR) absorption spectroscopy and evaluation of the differences in molecular cohesion energy of the fiber material during the dissolution processes. Changes in the fibers’ physical microstructure were investigated using densitometric, IR spectrophotometric, and X-ray diffraction methods; for assessment of both the reconstruction process of the paracrystalline matter of the fibers and the changes in the fibers’ total orientation, interferential polarization microscopy was used.
Smart Adaptive Big Data Analysis with Advanced Deep Learning
Authors: Juuso Esko K. 
Published: November 2018

AbstractIncreasing volumes of data, referred as big data, require massive scale and complex computing. Artificial intelligence, deep learning, internet of things and cloud computing are proposed for heterogeneous datasets in hierarchical analytics to manage with the volume, variety, velocity and value of the big data. These solutions are not sufficient in technical systems where measurements, waveform signals, spectral data, images and sparse performance indicators require specific methods for the feature extraction before interactions can be properly analysed. In practical applications, the data analysis, knowledge-based methodologies and optimization need to be combined. The solutions require compact calculation units which can be adaptively modified. The artificial intelligence is extended with various methodologies of computational intelligence. The advanced deep learning approach proposed in this paper uses generalized norms in feature generation, nonlinear scaling in developing compact indicators and linear interactions in model-based systems. The intelligent temporal analysis is available for all indices, including for stress, condition and quality indicators. The service and automation solutions combine these data-driven solutions with the domain expertise by using fuzzy logic for case-based systems. The applications are developed gradually in connections, conversion, cyber, cognition and configuration layers. The advanced methodology is based on the integration of features, scaling functions and interaction models specified by parameters. All the sub-systems and different combinations of them can be recursively updated and optimized with evolutionary computing. The systems adapt to the changing operating conditions and provide situation awareness for the risk analysis. The approach supports different levels of the smart adaptive systems.
Theoretical study of the formation of a spiro-Sn-heterocyclic compound by cycloaddition reaction of Me2C=Sn: and ethene
Authors: Tan Xiaojun , Lu Xiuhui 
Published: November 2018

Abstract
X2C=Sn: compounds (X=H, Me, F, Cl, Br, Ph, Ar) are new species. The cycloaddition reactions of X2C=Sn: are also a new study field of unsaturated stannylene chemistry. The mechanism of cycloaddition reaction between singlet Me2C=Sn: and ethene was investigated for the first time using the MP2/GENECP (C, H in 6-311++G**; Sn in LanL2dz) method. From the potential energy profile, it was predicted that the reaction has one dominant channel in which the 5p unoccupied orbital of Sn: in Me2C=Sn: and the π orbital of ethene form a π→p donor-acceptor bond in an intermediate product. Instability of the intermediate product results in its isomerization to a four-membered ring of stannylene. The four-membered stannylene further combines with ethene to form another intermediate product that further isomerizes to a spiro-Sn-heterocyclic ring compound.
Predicting Automatic Trigger Speed for Vehicle-Activated Signs
Authors: Jomaa Diala , Yella Siril 
Published: November 2018

Abstract
Vehicle-activated signs (VAS) are speed-warning signs activated by radar when the driver speed exceeds a pre-set threshold, i.e. the trigger speed. The trigger speed is often set relative to the speed limit and is displayed for all types of vehicles. It is our opinion that having a static setting for the trigger speed may be inappropriate, given that traffic and road conditions are dynamic in nature. Further, different vehicle classes (mainly cars and trucks) behave differently, so a uniform trigger speed of such signs may be inappropriate to warn different types of vehicles. The current study aims to investigate an automatic VAS, i.e. one that could warn vehicle users with an appropriate trigger speed by taking into account vehicle types and road conditions. We therefore investigated different vehicle classes, their speeds, and the time of day to be able to conclude whether different trigger speeds of VAS are essential or not. The current study is entirely data driven; data are initially presented to a self-organising map (SOM) to be able to partition the data into different clusters, i.e. vehicle classes. Speed, time of day, and length of vehicle were supplied as inputs to the SOM. Further, the 85th percentile speed for the next hour is predicted using appropriate prediction models. Adaptive neuro-fuzzy inference systems and random forest (RF) were chosen for speed prediction; the mean speed, traffic flow, and standard deviation of vehicle speeds were supplied as inputs for the prediction models. The results achieved in this work show that RF is a reliable model in terms of accuracy and efficiency, and can be used in finding appropriate trigger speeds for an automatic VAS.
Possible hints and pitfalls in diagnosing Peutz-Jeghers syndrome
Authors: Renes Judith S. , Knijnenburg Jeroen , Chitoe-Ramawadhdoebe Sharmila , Gille Johan J.P. , de Bruin Christiaan , Barge-Schaapveld Daniela Q.C.M. 
Published: November 2018

Abstract

Background
Peutz-Jeghers syndrome (PJS) is characterized by gastrointestinal polyposis, mucocutaneous pigmentation and cancer predisposition. Patients with PJS can develop large calcifying Sertoli cell tumors (LCSTs).

Case presentation
A patient presented at 3 years of age with delayed development, hypermobility and later also with tall stature and advanced bone age. Extensive endocrine evaluation, mutation analysis of genes associated with connective tissue disorders and a single nucleotide polymorphism (SNP) array showed no abnormalities. At 8 years of age, gynecomastia developed as well as pigmentations on the lips, both of which are associated with PJS. Mutation analysis showed a heterozygous deletion of the whole STK11 gene confirming PJS. Testicular ultrasound confirmed the presence of LCSTs. Interestingly, the previously performed SNP array did not report deletion of the STK11 gene.

Conclusions
We advise excluding LCSTs in children with tall stature and advanced bone age where more common causes have been eliminated. Although STK11 deletions are documented in control databases, reporting the deletion of this gene even in the absence of a phenotype is advised for patient management.
Hören und Tanzen – Das samāʿ als spirituelles Mittel und gesellschaftliches Kommunikationsmedium
Authors: Küçükhüseyin Şevket 
Published: November 2018

AbstractThe following article looks briefly into the development of the spiritual practice of dance (samāʿ) in Islamic mysticism prior to the ritualization of the dervishes’ ‘dance’ with the early Mawlawiyya. Focusing on changes in the notion of ‘dance’ or physical motion as a consequence of contemplation and ecstasy, it also examines its quality as a means to obtain this state. This is preceded by some remarks on the terms ‘dance’ in Arabic, Persian and Turkish, and a brief discussion of the difficulties of research dealing with medieval dance, primarily in the Turkish context.
Tanzen gegen die Sünde? Zum Tanzkapitel in Meister Ingolds ‚Guldin Spil‘
Authors: Reich Björn 
Published: November 2018

AbstractIn the 15th century, play and dance were expressively criticised. This makes it all the more remarkable for the Dominican Meister Ingold to identify, in his ‘Guldin Spil’, not only chess, cards and dice as some of the seven games useful to overcome the seven deadly sins, but also dance. Ingold, however, does not praise the outward dance. Rather, he intends to turn the reader towards what may be called inner contemplation or Betrachtung, with the various stages of Jesus’ life are transformed into dance steps. The result is an odd conflict: external dance may have negative connotations, yet lays the mental groundwork for the inner Betrachtung. This article aims to explore this area of conflict by examining the various traditions of interpretation which may have influenced Ingold.
Reliability Analysis of Forest Machines Due to FMEA Method
Authors: Ťavoda Pavol , Kováč Ján , Łukaszczyk Zygmunt Ł 
Published: November 2018

Abstract
The article deals with the research of operational reliability of forest felling machines with the method FMEA (Failure Mode and Effect Analysis) and its implementation for observed machines in the organization. Forwarders 810D by John Deere were chosen for this research. The research was realized in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. This paper explores and verifies the operational reliability theory in practical real-world conditions, resulting in a reduction in operating (variable) costs, minimization of failures and readiness and increased performance of observed machines.
The Optimal Tribotechnical Factors in the Design of Machines – Environmental Element in the Production Systems
Authors: Turis Ján , Beňo Pavel , Biały Witold 
Published: November 2018

Abstract
The article deals with the experimental detection of the tribotechnical parameters for two different types of sliding bearings which are intended for operation without an additional lubrication due to the increasing requirements in ecology and environment. The dominant tribotechnical parameters of the self-lubricating bearing are the coefficient of friction and temperature. To determine these parameters, an experimental method was applied in this paper. The introductory part deals with materials of self-lubricating sliding bearings, their properties and usage. The experimental part consists of the evaluation of friction characteristics and geometric change of a surface after sliding pairs were being worn. Experimental examined sliding pairs comprise a sliding bearing and the shaft. The aim of this research was to determine the effect of radial force on tribotechnical parameters in order to predict the behavior of examined sliding bearings in real operating conditions.
Dual Completion Petroleum Production Engineering for Several Oil Formations
Authors: Ivanova Tanyana Nikolaevna , Korshunov Aleksandr Ivanovich , Koretckiy Vladimir Pavlovich 
Published: November 2018

Abstract
Cost-efficient, enabling technologies for keeping and increasing the reservoir recovery rate of oil-formations with high water cut of produced fluids and exhausted resource are really essential. One of the easiest but short-term ways to increase oil production and incomes at development of oil deposits is cost of development and capital cost reduction. Therefore, optimal choice and proper feasibility study on the facilities for multilayer oil fields development, especially at the late stage of reservoir working, is a crucial issue for now-day oil industry. Currently, the main oil pools do not reach the design point of coefficient of oil recovery. The basic feature of the late stage of reservoir working is the progressing man-made impact on productive reservoir because of water injection increasing for maintaining reservoir pressure. Hence cost-efficient, enabling technologies for keeping and increasing the reservoir recovery rate of oil-formations with high water cut of produced fluids and exhausted resource are really essential. To address the above concerns the dual completion petroleum production engineering was proposed. The intensity of dual completion of formation with of different permeability is determined by rational choice of each of them. The neglect of this principle results a disproportionately rate of highly permeable formations development for the time. In effect the permeability of the formations or their flow rate is decreasing. The problem is aggravated by lack of awareness of mechanics of layers' mutual interference in producers and injectors. Dual completion experience in Russian has shown, that success and efficiency of the technology in many respects depend on engineering support. One of the sufficient criteria for the choice of operational objects should be maximal involvement of oil-saturated layers by oil displacement from seams over the economic life of well producing oil. If it is about getting high rate of oil recovery for irregular formations there is no alternative to dual completion and production. The recommended dual completion petroleum production technology enables development several formations by single well at the time. The dual completion petroleum production technology has been more important than ever because it is right not only for formations but for thin layers with undeveloped remaining reserves.
Options to Use Data Matrix Codes in Production Engineering
Authors: Karrach Ladislav , Pivarčiová Elena 
Published: November 2018

Abstract
The paper deals with the possibilities of using Data Matrix codes in production engineering. We designed and tested the computationally efficient method for locating the Data Matrix code in the images. The location search procedure consists of identification of candidate regions using image binarization, then joining adjacent points into continuous regions and also examining outer boundaries of the regions. Afterwards we verify the presence of the Finder Pattern (as two perpendicular line segments) and Timing Pattern (as alternating sequence of black and white modules) in these candidate regions. Such procedure is invariant to shift rotation and scale change of Data Matrix codes. The method we have proposed has been verified on a set of real industrial images and compared to other commercial algorithms. We are also convinced that such technique is also suitable for real-time processing and has achieved better results than comparable commercial algorithms.
Charitable Support for U.S. National and State Parks Through the Lens of Coproduction and Government Failure Theories
Authors: Gazley Beth , Cheng Yuan (Daniel) , Lafontant Chantalle 
Published: November 2018

AbstractSubstantial public budget constraints across the United States have increased reliance on charities for some public service provision. This article builds a unique historical dataset and presents the first systematic look at the charities supporting U.S. national and state parks through the lens of coproduction along with other major theories of government-voluntary interaction and its consequences. The results suggest that parks-supporting charities are involved in a multi-dimensional pattern of coproduction with distinct and differentiated forms of involvement in public service provision at the state and federal levels. Their growth over time reflects theories of government failure and philanthropic insufficiency. And their permanency suggests the value of greater understanding of public service reliance on private philanthropy.
Applications of metal selenium/tellurium compounds in materials science
Authors: Jain Vimal K. , Kedarnath G. 
Published: November 2018

AbstractMetal chalcogenides are technologically important materials. Physical, chemical, electrical and mechanical properties of these materials can be fine-tuned by manipulating their shape, size and composition. Although several methods are employed for their synthesis, single-source molecular precursor route has emerged as a versatile strategy for their synthesis and in controlling shape, size and composition of the material under moderate conditions. This chapter gives a brief coverage on the design and development of single-source molecular precursors which have been employed for the preparation of metal selenide/telluride nanocrystals and for deposition of thin films. The discussion includes synthesis of transition-, main group and f-block metal chalcogenolate and/or chalcogenide clusters as precursors and their conversion into metal chalcogenides in the form of thin films and nanostructures. Precursors for ternary metal chalcogenides are also included.
Investigation of γ ray shielding, structural and dissolution rate studies of alkali based bismuth borate glass systems with MoO3 added
Authors: Dogra Mridula , Singh K.J. , Kaur Kulwinder 
Published: November 2018

Abstract
Bi2O3–B2O3–Li2O–K2O–MoO3 glass system has been synthesized using melt-quenching technique. γ ray shielding properties have been evaluated in terms of mass attenuation coefficient at photon energies 356, 662 and 1173 keV. These shielding parameters are also compared with standard nuclear radiation shielding material “barite concrete” at the same photon energies. Most of our prepared samples show better γ ray shielding properties as compared to barite concrete at the same photon energies. Density, molar volume, XRD, FTIR and Raman studies have been employed to study the structural properties of the prepared glass system. Different structural groups such as [BO3], [BO4], [MoO4] and [MoO6] have been detected in the amorphous network. The presence of non-bridging oxygens, bridging oxygens and change of coordination number has been discussed. The optical absorption spectra are recorded in the wavelength range 200–800 nm and optical band gap is calculated which has shown strong dependence on Bi2O3/B2O3 ratio. The samples have also been tested for their durability by measuring dissolution rate properties using distilled water at 90°C. It has been concluded that increase in the content of Bi2O3 in the composition improves durability and γ ray shielding properties of the samples.
Wireless and mobile optical chemical sensors and biosensors
Authors: Kassal Petar , Horak Ema , Sigurnjak Marija , Steinberg Matthew D. , Steinberg Ivana Murković 
Published: November 2018

Abstract
This review explores the current state-of-the-art wireless and mobile optical chemical sensors and biosensors. The review is organised into three sections, each of which investigates a major class of wireless and/or mobile optical chemical sensor: (i) optical sensors integrated with a radio transmitter/transceiver, (ii) wearable optical sensors, and (iii) smartphone camera-based sensors. In each section, the specific challenges and trade-offs surrounding the (bio)chemical sensing mechanism and material architecture, miniaturisation, integration, power requirements, readout, and sensitivity are explored with detailed examples of sensor systems from the literature. The analysis of 77 original research articles published between 2007 and 2017 reveals that healthcare and medicine, environmental monitoring, food quality, and sport and fitness are the target markets for wireless and mobile optical chemical sensor systems. In particular, the current trend for personal fitness tracking is driving research into novel colourimetric wearable sensors with smartphone readout. We conclude that despite the challenges, mobile and wearable optical chemical sensor systems are set to play a major role in the sensor Internet of Things.
The dynamics of a delayed deterministic and stochastic epidemic SIR models with a saturated incidence rate
Authors: N’zi Modeste , Yattara Ilimidi 
Published: November 2018

Abstract
We treat a delayed SIR (susceptible, infected, recovered) epidemic model with a saturated incidence rate and its perturbation through the contact rate using a white noise.
We start with a deterministic model and then add a perturbation on the contact rate using a white noise to obtain a stochastic model.
We prove the existence and uniqueness of the global positive solution for both deterministic and stochastic delayed differential equations.
Under suitable conditions on the parameters, we study the global asymptotic stability of the disease-free equilibrium of the deterministic model and the almost sure stability of the disease-free equilibrium of the stochastic model.
A novel method to accurately calculate statistical significance of local similarity analysis for high-throughput time series
Authors: Zhang Fang , Shan Ang , Luan Yihui 
Published: November 2018

Abstract
In recent years, a large number of time series microbial community data has been produced in molecular biological studies, especially in metagenomics. Among the statistical methods for time series, local similarity analysis is used in a wide range of environments to capture potential local and time-shifted associations that cannot be distinguished by traditional correlation analysis. Initially, the permutation test is popularly applied to obtain the statistical significance of local similarity analysis. More recently, a theoretical method has also been developed to achieve this aim. However, all these methods require the assumption that the time series are independent and identically distributed. In this paper, we propose a new approach based on moving block bootstrap to approximate the statistical significance of local similarity scores for dependent time series. Simulations show that our method can control the type I error rate reasonably, while theoretical approximation and the permutation test perform less well. Finally, our method is applied to human and marine microbial community datasets, indicating that it can identify potential relationship among operational taxonomic units (OTUs) and significantly decrease the rate of false positives.