bluuebunny/crossref_metadata_2025_split huggingface dataset:
Refined Boundary Behavior of the Unique Convex Solution to a Singular Dirichlet Problem for the Monge–Ampère Equation
Authors: Zhang Zhijun 
Published: January 2018

Abstract
This paper is concerned with the boundary behavior of the unique convex solution to a singular Dirichlet problem for the Monge–Ampère equation

det
⁡

D
2

⁢
u

=

b
⁢

(
x
)

⁢
g
⁢

(

-
u

)

,

u
<
0

,

x
∈
Ω

,

u
|

∂
⁡
Ω

=
0

,

\operatorname{det}D^{2}u=b(x)g(-u),\quad u<0,\,x\in\Omega,\qquad u|_{\partial% \Omega}=0,

where Ω is a strictly convex and bounded smooth domain in

ℝ
N

{\mathbb{R}^{N}}

, with

N
≥
2

{N\geq 2}

,

g
∈

C
1

⁢

(

(
0
,
∞
)

,

(
0
,
∞
)

)

{g\in C^{1}((0,\infty),(0,\infty))}

is decreasing in

(
0
,
∞
)

{(0,\infty)}

and satisfies

lim

s
→

0
+

⁡

g
⁢

(
s
)

=
∞

{\lim_{s\rightarrow 0^{+}}g(s)=\infty}

, and

b
∈

C
∞

⁢

(
Ω
)

{b\in C^{\infty}(\Omega)}

is positive in Ω, but may vanish or blow up on the boundary. We find a new structure condition on g which plays a crucial role in the boundary behavior of such solution.
Prediction of Sound Insulation of Sandwich Partition Panels by Means of Artificial Neural Networks
Authors: Garg Naveen , Dhruw Siddharth , Gandhi Laghu 
Published: January 2018

Abstract
The paper presents the application of Artificial Neural Networks (ANN) in predicting sound insulation through multi-layered sandwich gypsum partition panels. The objective of the work is to develop an Artificial Neural Network (ANN) model to estimate the Rw and STC value of sandwich gypsum constructions. The experimental results reported by National Research Council, Canada for Gypsum board walls (Halliwell et al., 1998) were utilized to develop the model. A multilayer feed-forward approach comprising of 13 input parameters was developed for predicting the Rw and STC value of sandwich gypsum constructions. The Levenberg-Marquardt optimization technique has been used to update the weights in back-propagation algorithm. The presented approach could be very useful for design and optimization of acoustic performance of new sandwich partition panels providing higher sound insulation. The developed ANN model shows a prediction error of ±3 dB or points with a confidence level higher than 95%.
DAB vs DAB+ Radio Broadcasting: a Subjective Comparative Study
Authors: Gilski Przemysław 
Published: January 2018

AbstractIn the age of digital media, delivering high quality content to consumers is one of the most demanding tasks. There exist numerous broadcasting standards, with different pros and cons, and the DAB/DAB+ (Digital Audio Broadcasting) system is one of the most popular among them. From an engineer’s perspective, efficient resource management under limited bandwidth conditions has always been a challenge. In this paper a subjective quality assessment study of the DAB and DAB+ broadcasting system is performed on a representative group of signal samples. It describes the radio link, including a fully functional transmitter designed for the purpose of this test, as well as the receiver side representing a commercially available consumer device, for a truly real-time and end-to-end quality evaluation.
Prototype of Wideband Air Sonar Based on STM32
Authors: Okoń-Fąfara Marta , Kawalec Adam , Fąfara Bartłomiej 
Published: January 2018

Abstract
The paper presents a project of a low-cost prototype version of a wideband air sonar and the problems occurring during its development process. The aim of this work was to design a short range air sonar capable of creating the reflectivity map of its surroundings using an arbitrary shape wideband signal. The transmitting and receiving transducers that have been chosen for this application typically work in pulsed operation modes. Therefore, dedicated output and input circuits had to be designed to expand its capabilities without information losses. The signal generation, transmission, reception and storage are managed by a Discovery evaluation board with a STM32 microcontroller. The receiving data are saved on a SD card and are processed off-line.
Socialist Postmodernism. The Case of the Late Soviet Lithuanian Architecture
Authors: Mankus Martynas 
Published: January 2018

AbstractThe aesthetical and cultural features of Lithuanian architecture related to Postmodernism are closely connected to socio-political, socioeconomic and sociocultural transformations at the end of the 20th century. The article presents an interpretation of modernisation-related processes, which affected and shaped the Lithuanian architecture of the late socialism. The expression of Postmodernism is analysed as an alternative to industrialization, typification and mass production. The aim of the article is to establish and analyse the social factors that have determined the appearance of postmodern architecture and its functioning in society, and to reveal ideological and aesthetical intersections of architecture, and the relationship between late socialism and Postmodernism.
Network Connections and Neighbourhood Perception: Using Social Media Postings to Capture Attitudes among Twitter Users in Estonia
Authors: Hess Daniel Baldwin , Iacobucci Evan , Väiko Annika 
Published: January 2018

Abstract
The residential landscape of a city is key to its economic, social, and cultural functioning. Following the collapse of communist rule in the countries of Central and Eastern Europe (CEE) in the late 1980s and early 1990s, urban residential dynamics and household mobility have been critical to urban change under new economies and political systems. This article explores neighbourhood perception, which is a link in the chain to better explanation of socio-spatial processes (and their interruption by the socialist system). We use a novel data set – opinions expressed on one of social media (Twitter), and a novel empirical method – neural network analysis, to explore people’s current attitudes and perceptions about the neighbourhoods and districts in Tartu, Estonia. The findings suggest that Twitter comments about urban neighbourhoods display attitudinal and perceptual commentary, which is subdued compared to other subjects. The socialist goal of homogeneity in neighbourhoods is not reflected in present day perspectives about urban neighbourhoods, 25 years after the disintegration of the USSR. Ambivalence about neighbourhoods persists, but this ambivalence may be in flux. Older, formerly neglected neighbourhoods, the subject of positive perception on social media, are currently experiencing increased investment, and the observed trends in our data support a narrative of neighbourhood transition.
Classifying Scaled-Turned-Shifted Objects with Optimal Pixel-to-Scale-Turn-Shift Standard Deviations Ratio in Training 2-Layer Perceptron on Scaled-Turned-Shifted 4800-Featured Objects under Normally Distributed Feature Distortion
Authors: Romanuke Vadim V. 
Published: January 2018

Abstract
The problem of classifying diversely distorted objects is considered. The classifier is a 2-layer perceptron capable of classifying greater amounts of objects in a unit of time. This is an advantage of the 2-layer perceptron over more complex neural networks like the neocognitron, the convolutional neural network, and the deep learning neural networks. Distortion types are scaling, turning, and shifting. The object model is a monochrome 60 × 80 image of the enlarged English alphabet capital letter. Consequently, there are 26 classes of 4800-featured objects. Training sets have a parameter, which is the ratio of the pixel-to-scale-turn-shift standard deviations, which allows controlling normally distributed feature distortion. An optimal ratio is found, at which the performance of the 2-layer perceptron is still unsatisfactory. Then, the best classifier is further trained with additional 438 passes of training sets by increasing the training smoothness tenfold. This aids in decreasing the ultimate classification error percentage from 35.23 % down to 12.92 %. However, the expected practicable distortions are smaller, so the percentage corresponding to them becomes just 1.64 %, which means that only one object out of 61 is misclassified. Such a solution scheme is directly applied to other classification problems, where the number of features is a thousand or a few thousands by a few tens of classes.
Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm
Authors: Elkhateeb Nasr A. , Badr Ragia I. 
Published: January 2018

AbstractThis study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. An optimal PID control law is obtained from the proposed (ABC) algorithm and applied to the robotic system. The designed controller optimizes the trajectory of the robot’s end effector for a time-variant input and makes the robot robust in the presence of external disturbance.
Hermite-Hadamard Type Fractional Integral Inequalities for Generalized (r; g; s; m; ϕ)-Preinvex Functions
Authors: Kashuri Artion , Liko Rozana 
Published: January 2018

AbstractIn the present paper, a new class of generalized (r; g; s; m; ϕ)-preinvex functions is introduced and some new integral inequalities for the left hand side of Gauss-Jacobi type quadrature formula involving generalized (r; g; s; m; ϕ)-preinvex functions are given. Moreover, some generalizations of Hermite-Hadamard type inequalities for generalized (r; g; s; m; ϕ)-preinvex functions via Riemann-Liouville fractional integrals are established. These results not only extend the results appeared in the literature (see [1],[2]), but also provide new estimates on these types.
Extension of Some Results on the (SSIE) and the (SSE) of the Form F ⊂ ℇ + F′ x and ℇ + Fx = F
Authors: Malafosse Bruno de 
Published: January 2018

Abstract
Given any sequence a = (an)n≥1 of positive real numbers and any set E of complex sequences, we write Ea for the set of all sequences y = (yn)n≥1 such that y/a = (yn/an)n≥1 ∈ E. In this paper we deal with the solvability of the (SSIE) of the form ℓ∞ ⊂ ℇ+F′x where ℇ is a linear space of sequences and F′ is either c0, or ℓ∞ and we solve the (SSIE) c0 ⊂ ℇ + sx for ℇ ⊂ (sα)∆ and α ∈ c0. Then we study the (SSIE) c ⊂ ℇ + s(c)x and the (SSE) ℇ + s(c)x = c. Then we apply the previous results to the solvability of the (SSE) of the form (ℓrp)∆ + Fx = F for p ≥ 1 and F is any of the sets c0, c, or ℓ∞ . These results extend some of those given in [8] and [9].
Influence of biostimulants on phenolic content in broccoli heads directly after harvest and after storage
Authors: Kałużewicz Alina , Gąsecka Monika , Spiżewski Tomasz 
Published: January 2018

AbstractBiostimulants are commonly used in horticulture, primarily to increase yield quantity and quality, as well as plant tolerance to stress. The purpose of the study was to determine the effect of amino acid-based biostimulants and amino acids in combination with Ascophyllum nodosum filtrate, applied during the growing season on the phenolic content in broccoli heads both after harvest and after long storage in a cold store. The seedlings were planted in mid-July, and heads were harvested from September to October in each year of the study. Ascophyllum nodosum filtrate at a concentration of 1% was used during seedling production. The plants were watered with biostimulants twice, in the fourth and fifth week after sowing. They were also sprayed with amino acid-based biostimulants (1.5 dm3 ha-1) three times, i.e. after the second, fourth and sixth week after planting. The biostimulants were not used in the control treatment. After harvest, the heads were stored for three weeks in a cold store at 1-2°C and 95% RH. Chemical analyses of total phenolic, caffeic, ferulic and sinapic acids, and of quercetin and kaempferol were carried out on samples of fresh broccoli and after the first, second and third week of storage. It was found that the application of biostimulants resulted in a significant increase in the total phenolic content, sinapic acid content, as well as quercetin content. Both in the control treatment and in the plants treated with the biostimulants, the concentration of all the tested phenolic compounds increased with the duration of storage.
Brain Size of the African Grasscutter (Thryonomys Swinderianus, Temminck, 1827) at Defined Postnatal Periods
Authors: Ibe C. S. , Salami S. O. , Wanmi N. 
Published: January 2018

AbstractAs a sequel to the current advancement in ethology, this study was designed to provide information on the brain size of the African grasscutter at specific postnatal periods and to extrapolate these findings to the behaviour of the rodent in its natural habitat. Brain samples were extracted from African grasscutter neonates on postnatal day 6, juveniles on postnatal day 72 and adults on postnatal day 450 by basic neuro-anatomical techniques. The weight, volume and dimensions of the brain samples were determined in absolute and relative terms. Their encephalisation quotient was also computed. There was a very strong positive correlation between nose-rump length and brain length in the neonates. The relative brain weight of neonates, juveniles and adults were 3.84 ± 0.12 %, 2.49 ± 0.07 % and 0.44 ± 0.03 %, respectively. The differences were significant (P < 0.05). The encephalisation quotient of juveniles was 1.62 ± 0.03 while that of the adult was 0.49 ± 0.02. The difference was significant (P < 0.05). The results were extrapolated to the animal’s cognitive ability, and compared with other rodents. It was concluded that the juvenile African grasscutter may have higher cognitive ability than the adult rodent, thus, juveniles should be preferred in physiological studies of memory and cognition.
Changes in Temperature of the Equine Skin Surface Under Boots after Exercise
Authors: Solheim T. N , Tarabová L. , Faixová Z. 
Published: January 2018

AbstractEquine distal limbs have evolved to have long tendons coupled with strong, tendinous muscles positioned proximally on the leg, thus enabling the horse to achieve highly efficient locomotion. The tradeoff is, that the tendons are left unprotected and prone to injuries, therefore they are often protected by various boots and bandages, which may insulate the limbs and cause hyperthermia in the underlying tendons. The actual mechanism for the degeneration of tendons is currently unknown, but damaging temperature increases due to hysteresis in hardworking horses has been suggested as a possible cause. This study compared the skin temperature of the palmar/ plantar metacarpal/metatarsal regions of the limbs after exercise with various types of boots and bandages - primarily tendon boots, leather boots and fleece bandages. Several horses were measured before and after the completion of a standard exercise test. The boots or bandages were removed immediately after the exercise and the temperature was measured at 3 separate places with A Testo 850i infrared thermometer. The differences in temperature increases between the various kinds of boots were compared. The results showed a significantly higher average temperature increase in horses wearing boots or bandages compared to the bare limb. The fleece bandages seemed to accumulate the highest amount of heat, followed by the tendon boots.
Determination of Antioxidant Parameters of Pleurotus Mushrooms Growing on Different Wood Substrates
Authors: Strapáč I. , Kuruc M. , Baranová M. 
Published: January 2018

Abstract
Extracts of the fruiting bodies of the Oyster mushroom (Pleurotus ostreatus) grown on wood substrates (beech, oak, linden, walnut, poplar) and extracts of the fruiting bodies of the Oyster mushroom (Pleurotus pulmonarius) grown in nature on aspen wood were used to determine the total phenols, total flavonoids, lycopene and β-carotene. The content of individual antioxidants varies considerably depending, not only on the substrate, but also on the extracting agents. The highest content of total phenols and total flavonoids was found in methanol and water extracts of the fruiting bodies of the Oyster mushrooms grown on oak and linden substrates. The maximum content of lycopene and β-carotene was determined in acetone and n-hexane (ratio 4 : 6) extracts of the fruiting bodies of the Oyster mushroom grown on an oak block. The results obtained in this study demonstrated that the quantitative and also probably the qualitative composition of the antioxidants in the fruiting bodies of Oyster mushrooms depended considerably on the substrate composition.
Occurence of Mastitis in Dairy Cows Situated in Marginal Parts of Slovakia
Authors: Zigo F. , Vasiľ M. , Elečko J. , Farkašová Z. , Zigová M. 
Published: January 2018

Abstract
A relatively large part of the Slovak territory consists of the “marginal regions”, which in terms of the economy of ruminants keeping can efficiently produce animal commodities only occasionally. The geographic, social and economic stability of these regions is strongly influenced by the rearing of ruminants and the associated market milk production. The aim of this study was to evaluate the prevalence and aetiological agents of mastitis in two herds of dairy cows situated in the marginal parts of Slovakia. In total, 530 of the Slovak spotted breed and Holstein cows were involved in the study. The diagnosis of mastitis was performed on the basis of the clinical examination of the udder, macroscopic evaluation of the milk, determination of somatic cell count (SCC), and the bacteriological examination of the milk. The prevalence of mastitis in the two herds of dairy cows ranged from 34.7 % to 18.8 %, respectively. From the total of 2120 quarter milk samples, 36.3 % were positive to the California mastitis test (CMT). Also, pathogenic microorganisms causing intramammary infection (IMI) were isolated from 25.6 % of the samples, which accounted for most subclinical mastitis forms (23.3 %), with the SCC under 400 000, mainly caused by coagulase-negative staphylococci (CoNS) and coliform bacteria E. coli and Enterobacter aerogenes. The clinical forms of mastitis accounted for 13.0 % of all infected cows and were caused mainly by the bacteria: Streptococcus uberis, Streptococcus agalactiae, Staphylococcus aureus and coagulasenegative staphylococci.
Analysis of the cadastral data published in the Polish Spatial Data Infrastructure
Authors: Izdebski Waldemar 
Published: January 2018

Abstract
The cadastral data, including land parcels, are the basic reference data for presenting various objects collected in spatial databases. Easy access to up-to-date records is a very important matter for the individuals and institutions using spatial data infrastructure. The primary objective of the study was to check the current accessibility of cadastral data as well as to verify how current and complete they are. The author started researching this topic in 2007, i.e. from the moment the Team for National Spatial Data Infrastructure developed documentation concerning the standard of publishing cadastral data with the use of the WMS. Since ten years, the author was monitoring the status of cadastral data publishing in various districts as well as participated in data publishing in many districts. In 2017, when only half of the districts published WMS services from cadastral data, the questions arise: why is it so and how to change this unfavourable status? As a result of the tests performed, it was found that the status of publishing cadastral data is still far from perfect. The quality of the offered web services varies and, unfortunately, many services offer poor performance; moreover, there are plenty services that do not operate at all.
Using an Efficient Optimal Classifier for Soil Classification in Spatial Data Mining Over Big Data
Authors: Manjula Aakunuri , Narsimha G. 
Published: January 2018

Abstract
This article proposes an effectual process for soil classification. The input data of the proposed procedure is the Harmonized World Soil Database. Preprocessing aids to generate enhanced representation and will use minimum time. Then, the MapReduce framework divides the input dataset into a complimentary portion that is held by the map task. In the map task, principal component analysis is used to reduce the data and the outputs of the maps are then contributed to reduce the tasks. Lastly, the proposed process is employed to categorize the soil kind by means of an optimal neural network (NN) classifier. Here, the conventional NN is customized using the optimization procedure. In an NN, the weights are optimized using the grey wolf optimization (GWO) algorithm. Derived from the classifier, we categorize the soil category. The performance of the proposed procedure is assessed by means of sensitivity, specificity, accuracy, precision, recall, and F-measure. The analysis results illustrate that the recommended artificial NN-GWO process has an accuracy of 90.46%, but the conventional NN and k-nearest neighbor classifiers have an accuracy value of 75.3846% and 75.38%, respectively, which is the least value compared to the proposed procedure. The execution is made by Java within the MapReduce framework using Hadoop.
Expression evaluation of a quoted author in academic discourse: Inter-language (Lithuanian and English) case study
Authors: Celiešienė Vilija , Stankevičienė Virginija , Zavistanavičienė Daiva 
Published: January 2018

AbstractThe aim of this article is to analyse subject expression evaluation of the non-author language, i.e. the author whose thoughts, discoveries, research results or assumptions are relied on in scientific texts in Lithuanian and English languages, elucidate both universal properties of expression evaluation and the specific ones determined by a particular language and culture. Publication texts of education science field of social science area were selected for the research. Expression evaluation of a quoted author was analysed identifying neutral (surname / name and surname, nationality and residence, scientific and professional activity, time, scientific discoveries, activity achievements, family relations) and subjective (logic and emotional evaluation) attributes. It was determined that education science texts of both languages, Lithuanian and English, do not exhibit a variety of quoted author expression. No examples purveying all possible semantic meanings of attributes were found in both languages. Prevalence of neutral attributes of science subjects and similar aspects of usage of some attributes (surname / name and surname, nationality or residence) reveal general citation traditions determined by universal scientific text regularities rather than a particular language or culture. On the other hand, some tendencies were observed characteristic only to the texts of one or another language and reflecting specific evaluation features of science subject. In the articles of native English speakers, scientific discoveries, results of scientific activity of quoted authors are emphasised whereas Lithuanian authors are more liable to highlight scientific or professional activity and time. Moreover, it is essential to mention that every text represents its author‘s personality to some extent. Thus, the choice of the particular means of expression can be determined by personal qualities of an author.