bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-Aspect Incremental Tensor Decomposition Based on Distributed In-Memory Big Data Systems
Authors: Yang Hye-Kyung , Yong Hwan-Seung 
Published: May 2020

Abstract

Purpose
We propose InParTen2, a multi-aspect parallel factor analysis three-dimensional tensor decomposition algorithm based on the Apache Spark framework. The proposed method reduces re-decomposition cost and can handle large tensors.

Design/methodology/approach
Considering that tensor addition increases the size of a given tensor along all axes, the proposed method decomposes incoming tensors using existing decomposition results without generating sub-tensors. Additionally, InParTen2 avoids the calculation of Khari–Rao products and minimizes shuffling by using the Apache Spark platform.

Findings
The performance of InParTen2 is evaluated by comparing its execution time and accuracy with those of existing distributed tensor decomposition methods on various datasets. The results confirm that InParTen2 can process large tensors and reduce the re-calculation cost of tensor decomposition. Consequently, the proposed method is faster than existing tensor decomposition algorithms and can significantly reduce re-decomposition cost.

Research limitations
There are several Hadoop-based distributed tensor decomposition algorithms as well as MATLAB-based decomposition methods. However, the former require longer iteration time, and therefore their execution time cannot be compared with that of Spark-based algorithms, whereas the latter run on a single machine, thus limiting their ability to handle large data.

Practical implications
The proposed algorithm can reduce re-decomposition cost when tensors are added to a given tensor by decomposing them based on existing decomposition results without re-decomposing the entire tensor.

Originality/value
The proposed method can handle large tensors and is fast within the limited-memory framework of Apache Spark. Moreover, InParTen2 can handle static as well as incremental tensor decomposition.
Effective Opinion Spam Detection: A Study on Review Metadata Versus Content
Authors: Rastogi Ajay , Mehrotra Monica , Ali Syed Shafat 
Published: May 2020

Abstract

Purpose
This paper aims to analyze the effectiveness of two major types of features—metadata-based (behavioral) and content-based (textual)—in opinion spam detection.

Design/methodology/approach
Based on spam-detection perspectives, our approach works in three settings: review-centric (spam detection), reviewer-centric (spammer detection) and product-centric (spam-targeted product detection). Besides this, to negate any kind of classifier-bias, we employ four classifiers to get a better and unbiased reflection of the obtained results. In addition, we have proposed a new set of features which are compared against some well-known related works. The experiments performed on two real-world datasets show the effectiveness of different features in opinion spam detection.

Findings
Our findings indicate that behavioral features are more efficient as well as effective than the textual to detect opinion spam across all three settings. In addition, models trained on hybrid features produce results quite similar to those trained on behavioral features than on the textual, further establishing the superiority of behavioral features as dominating indicators of opinion spam. The features used in this work provide improvement over existing features utilized in other related works. Furthermore, the computation time analysis for feature extraction phase shows the better cost efficiency of behavioral features over the textual.

Research limitations
The analyses conducted in this paper are solely limited to two well-known datasets, viz., YelpZip and YelpNYC of Yelp.com.

Practical implications
The results obtained in this paper can be used to improve the detection of opinion spam, wherein the researchers may work on improving and developing feature engineering and selection techniques focused more on metadata information.

Originality/value
To the best of our knowledge, this study is the first of its kind which considers three perspectives (review, reviewer and product-centric) and four classifiers to analyze the effectiveness of opinion spam detection using two major types of features. This study also introduces some novel features, which help to improve the performance of opinion spam detection methods.
Cognitive solution for IoT communication technologies – emphasis on 5G
Authors: Asif Anisur Rahman , Zahra Fatema , Matin Mohammad Abdul 
Published: May 2020

Abstract
The 5G cellular network technology, in collaboration with Internet of Things (IoT), is envisaged to connect the world together through a flawless Internet connection between devices and sensors. The things in IoT term can be of any smart devices or Internet-enabled sensors that can share information in order to perform a task collectively or individually. On the other hand, Cognitive Internet of Things plays a vital role in utilizing available spectrum for 5G networks. Addition of cognitive feature to the things can allow decision making capability, thereby reducing the overall traffic congestion and improving the efficiency of the whole IoT system. Therefore, it is of great concern to develop an intelligent network to address a few challenges such as heterogeneity and volume of devices in 5G. The aim of this article is to provide a critical review of existing IoT communication Technologies and highlight several challenges and their potential solutions associated with Cognitive IoT based 5G networks.
The Major Biological Approaches in the Integrated Pest Management of Onion Thrips, Thrips Tabaci (Thysanoptera: Thripidae)
Authors: Woldemelak Wondimagegn Atilaw 
Published: May 2020

Abstract

Thrips tabaci Lindeman is a cosmopolitan and polyphagous insect pest. It is known worldwide and recorded on more than 300 plant species. T. tabaci is a key pest of onion and several other crops, and its control is vital to the production and profitability of crops. If onion thrips population is not controlled, damage can reduce yield volume and quality. In addition to direct damage to the host plants, T. tabaci has been characterized as an asymptomatic vector of three devastating tospovirus species, such as Tomato spotted wilt virus, Iris yellow spot virus, and Tomato yellow ring virus. For this reason, several synthetic insecticides were used for control. However, these insecticides bring unwanted effects, like pesticide resistance, elimination of nontarget species, environmental pollution, and threats to human health. To solve the negative consequences of insecticides, biopesticides, such as plant secondary metabolites, entomopathogenic viruses, bacteria, fungi, and nematodes, have been recognized as effective alternatives. The use of plant-based insecticides and entomopathogenic control methods gained more attention in integrated pest management. Their strong side is lack of residues, saving beneficial insects and minimizing air and water pollution. Plant-derived compounds and entomopathogenic biological control agents offered a variety of biological modes of actions against onion thrips, such as repellency, feeding deterrence, anti-oviposition, fecundity deterrence, metamorphosis inhibition, and parasiting the host’s body.
Impact of Using a Filter in a Direct Gasoline Injection Engine Exhaust System on the Emitted Particle Mass and Number
Authors: Fuć Paweł , Lijewski Piotr , Sokolnicka Barbara , Szymlet Natalia , Siedlecki Maciej , Dębowski Tomasz 
Published: May 2020

Abstract
The article presents emission test results comparison carried out on a dynamic engine dynamometer. Parameters were recorded during a drive made in accordance with the requirements of the RDE. Test bench allowed to determine the particle mass and number emission in the repetitive engine operation conditions. One of three used elements wan an OEM solution from one of particulate filters producers, the other was intended for use in original systems, the third was a custom product. The highest efficiency of particulate filtration was demonstrated by the last filter, which was adapted to the engine.
Optimization Model for Planning Set of Measures to Prevent Occupational Injuries in Machine-Building Enterprises
Authors: Stupnytska Nataliya , Stupnytskyy Vadym 
Published: May 2020

Abstract
Criteria of occupational injuries potential risk in the machine-building industry are described in the article. Systemic analysis of the structure of the measures to prevent occupational injuries is given. Main tasks to reduce the risk of industrial injury at the machine-building enterprise are analysed. The methodology for optimal planning of accident prevention measures at the machine-building enterprise is described. A mathematical interpretation of the problem is given. The objective function is an argument of the maximum integral effectiveness for the set of planned measures to prevent occupational injuries. Constraint set of the optimization model describes the impossibility to exceed the allowable limit of cost, the feasibility and the possibility of implementing the measure’s plan reasoning from the technological and construction requirements of existing production engineering.
The Automated System of Optical Observation and Tracking of Space Objects
Authors: Łukasiewicz Jerzy , Lubieniecka Joanna , Kusiński Jerzy , Sarna Wiesław , Tchórznicki Krzysztof 
Published: May 2020

AbstractHaving a fleet of artificial satellites necessitates the construction of a system that will enable obtaining information on the situation in the Earth orbit (Space Situation Awareness - SSA). Such systems are built either as active radar systems or as passive optical systems. The automated system of optical observation and tracking of space objects (ASOPEK) consists of two optical systems (wide-angle and narrow-angle) and software enabling: detection of artificial satellites in the field of view of the system, identification of detected objects, updating the satellite database with unknown objects, updating orbits of observed objects. The ASOPEK system was created as part of a project financed by the National Center for Research and Development No. DOB-BIO7/25/02/2015.
Properties of De-Icing Agents for Use on Paved Airfield Pavements After Their Expiration Dates
Authors: Rumak Aleksandra , Kowalska Danuta , Kowalewska Agata 
Published: May 2020

Abstract
The NO-17-A205:2017 “Airfield maintenance in winter. Use of de-icers. Requirements and tests” Military Standard is applicable at Polish Armed Forces airports in the process of winter maintenance of airport pavements, both in the process of supplying airports with de-icing agents based on acetates and formates, as in testing, acceptance and control of de-icing agents based on formates, acetates and urea. After the expiration date of product, the tests specified in NO-17-A205:2017 shall be repeated.
Purpose of the research is to determine physico-chemical properties changes of de-icing agents applied on artificial airfield pavements, after its expiration dates. The results of research on physical and chemical parameters of de-icing agents obtained at the stage of delivery and after its expiration dates have been given. The tests included determination of appearance, density, refractive index and pH value measurement, as well as checking the freezing point temperature and, in the case of deicing agents in form of granulate, checking the granules size distribution. The requirements and test methods for deicing agents in accordance with NO-17-A205:2017 are also presented. In case of parameters changes, recommendations regarding further use of these agents shall be made. Positive tests results shall be the basis for extending the shelf life of de-icing products for the next winter season.
Modelling of SiPM Performance for Detection of Cherenkov Radiation from Extensive Air Showers in UV and Visible Ranges for Application at the TAIGA-IACT Telescope
Authors: Bogdanov A.A. , Kholupenko E.E. , Tuboltsev Yu.V. , Chichagov Yu.V. 
Published: May 2020

Abstract
A novel cluster of sensitive detectors based on silicon photomultipliers (SiPM) is being developed for the Cherenkov gamma-ray telescope TAIGA-IACT (Tunka valley, Republic of Buryatia, Russia). The cluster will be able to detect Cherenkov radiation from extensive air showers in two wide bands: 250–300 nm (UV) and 250–700 nm (visible and UV). Each pixel consists of a Winston cone, 4 SiPMs with the total sensitive area of 144 mm2, and readout electronics based on fast analogue memory. During operation in the UV band, a UV-bandpass filter is used to suppress cluster sensitivity in the visible range. In order to evaluate the detection efficiency of the selected SiPMs, a specific software simulator of SiPM output signal has been developed. This simulator takes into account such inherent parameters of SiPMs as total number of microcells, their recharge time, the dark count rate, the effective detection area, the quantum efficiency, the crosstalk between microcells, as well as conditions of SiPM operation, namely, the background noise and the Ohmic load in the readout (front-end) electronics. With this simulator it is possible to determine the expected trigger threshold under given conditions and parameters of selected detectors. Based on preliminary simulations, OnSemi MicroFJ-60035 SiPM chips have been chosen for the novel cluster of TAIGA-IACT. These SiPMs have sensible efficiency in the ultraviolet range (5–20% in the 250–300 nm band) and are distinguished by the presence of a fast output, which allows one to capture a low amplitude signal above a relatively high background noise.
Data Reduction and Imaging of Gravitational Lens System Class B0631+519
Authors: Prūsis K. , Nikolajevs A. 
Published: May 2020

Abstract
The present paper describes reduction procedures and imaging of radio astronomical data from the gravitational lens system CLASS B0631+519 acquired by e-MERLIN interferometer. The source has been previously imaged with VLA, MERLIN and the VLBA interferometers. Data reduction and polarisation calibration procedures will provide data on Faraday effects such as Faraday rotation and depolarization between lensed images that in turn carry information on large and small-scale magnetic fields in the lensing galaxy.
Reduction of data and imaging of the radio astronomical source have been achieved using Astronomical Image Processing System (AIPS) in conjunction with automatic data reduction pipelines that performed specific data processing steps. As a result, the sky map for the gravitational lens system has been successfully acquired and accuracy comparing the generated map to sky maps of the source produced by different authors has been confirmed.
Induction and Formation of Accessory Corpus Luteum after Artificial Insemination (AI) Might Increase Pregnancy Rate per AI in Heat Stressed Dairy Cows
Authors: Stojanov Boris , Atanasov Branko , Grizelj Juraj , Vince Silvio , Nikolovski Martin , Kjosevski Miroslav , Dovenski Toni , Adamov Nikola , Ilievska Ksenija , Samardzija Marko 
Published: May 2020

Abstract
The present study aimed to evaluate whether the induction and the formation of an accessory corpus luteum (CL) after AI might increase the pregnancy per AI (P/AI) in heat stressed dairy cows. Starting at d 50±3 post-partum, 113 lactating Holstein cows from one commercial herd during summer were scored for body condition, blood sampled and examined by ultrasound. Those bearing a CL>25mm and progesterone (P4) level>2ng/mL were synchronized using a double PGF2α injection given 12 h apart and AI-ed at detected estrus. In total 18 cows, there were not any signs of estrus (n=10) nor a P4 level <2ng/mL at the time of enrolment (n=8) and therefore they were excluded from the study, leading to 95 cows finally enrolled.. At d5 post-AI, cows were randomly allocated into 2 groups: control group (CON, n=45) without any additional treatment, and treatment group (GnRH, n=50), treated with 0.008 mg Buserelin – a GnRH agonist. Blood sampling and ultrasound examination were done at d5, d14 and at d21 after AI, whereas the pregnancy diagnosis was done at d21 and d30 after AI. Average daily temperature and relative humidity values were used to calculate the temperature-humidity index (THI). The average THI during the experiment was 79.5±0.6. At d5, no differences were observed neither between the number of the CL nor between the P4 level in both groups. At d14 and d21, 82% of the GnRH-treated cows had more than one CL versus 0% of the CON cows. Both at d14 and 21, GnRH-treated cows had higher P4 levels compared to the CON cows (p<0.05). In addition, P/AI were higher in the GnRH group than in the CON group (65% vs. 48.3%, p<0.05), whereas late embryonic losses were higher in CON in comparison to GnRH cows (10.6 vs. 4%, respectively). The BCS at the moment of insemination did not affect P/AI (p>0.05). In conclusion, the induction of an accessory CL at d 5 after AI might increase P/AI in heat stressed dairy cows.
Scientific citizens, smartphones and social media – reshaping the socio-spatial networks of participation: Insects, soil and food
Authors: Reed Matt 
Published: May 2020

Abstract
The conjunction of citizen science and social media through the mediation of the smartphone is investigated in this Scientific Communication, following on from the last issue of the Moravian Geographical Reports (2019, Vol. 27, No. 4). Through a reconsideration of three previously published articles, in part written by the author, this paper reflects on these topics with regard to farmer innovation, local food networks and citizen-informed ecology. Each of these papers has used Twitter to gather data about practices of innovation and observation that have revealed new insights about innovation networks amongst farmers, urban-rural connections and insect behaviours. The reflections reported here are embedded in a discussion of the rise of the term ‘Citizen Science’. Recent experiences in areas as diverse as fisheries management and combating Ebola, have informed societal needs for greater engagement in finding inclusive, comprehensive solutions to urgent socio-ecological problems. This paper suggests a compositional approach to studies using citizen scientists and their data as a new avenue of practice and investigation.
Material Work Environment and Work Comfort in the Opinions of University Employees
Authors: Syper-Jędrzejak Marzena 
Published: May 2020

Abstract
This paper describes factors of material environment that are particularly important for employees comfort on the example of a selected University. The main goal of the presented research was to identify factors of work comfort related to material and social-living conditions of work and their assessment based on the opinion of employees in a selected institution. A two-stage study conducted in 2016–2018 among 440 university employees made it possible to identify factors relevant to the comfort of work, mainly related to material conditions. Based on the opinions of university employees (questionnaires and interviews), problem areas were identified in the scope of shaping comfortable working conditions.
Density functional study of structures, stabilities and electronic properties of AgAunλ(λ=0,±1;n=1-12){\rm{AgAu}}_n^\lambda \left( {\lambda = 0, \pm 1;n = 1 - 12} \right) clusters: comparison with pure gold clusters
Authors: Ranjan Prabhat , Chakraborty Tanmoy , Kumar Ajay 
Published: May 2020

Abstract
Geometrical structures, relative stabilities and electronic properties of neutral, cationic and anionic pure gold

A

u

n
+
1

λ

{\rm{A}}u_{n + 1}^\lambda

and Ag-doped bimetallic

AgAu

n
λ

(

λ
=
0
,
±
1
;
n
=
1
-
12

)

{\rm{AgAu}}_n^\lambda \left( {\lambda = 0, \pm 1;n = 1 - 12} \right)

clusters have been systematically investigated by using density functional theory methodology. The optimized structures show that planar to three-dimensional structural transition occurs at n = 5 for cationic clusters. Due to strong relativistic effect of Au clusters, the ground state configurations of neutral and anionic bimetallic clusters favor planar geometry till n = 12. Silver atoms tend to occupy the most highly coordinated position and form the maximum number of bonds with Au atoms. The computed HOMO-LUMO energy gaps, fragmentation energies and second-order difference of energies show interesting odd-even oscillation behavior. The result indicates that AgAu5,

AgAu

2
+

{\rm{AgAu}}_2^ +

and

AgAu

2
-

{\rm{AgAu}}_2^ -

are the most stable clusters in this molecular system. The DFT based descriptors of bimetallic clusters are also discussed and compared with pure gold clusters. The high value of correlation coefficient between HOMO-LUMO energy gaps and DFT based descriptors supports our analysis. A good agreement between experimental and theoretical data has been obtained in this study.
Study on Hydrodynamic Configuration Parameters of Vertical-Axis Tidal Turbine
Authors: Guangnian Li , Chen Qingren , Liu Yue , Zhu Shanqiang , Yu Qun 
Published: May 2020

Abstract
In this paper, a numerical code for predicting the hydrodynamic performance of vertical-axis tidal turbine array is developed. The effect of the tip speed ratio, solidity, and preset angle on the hydrodynamic performance are discussed using a series of calculations. The load principle of the rotor and the variation principle of the turbine power coefficient are studied. All these results can be considered as a reference for the design of vertical-axis tidal turbines.
Detection of Wavy Sea Surface Oil-Derivative Contamination with Forward Specular High-Frequency Scattering
Authors: Pogorzelski Stanisław , Rochowski Paweł , Grzegorczyk Maciej , Linde Bogumił B. J. , Skrodzka Ewa , Bielasiewicz Łukasz 
Published: May 2020

Abstract
A spectrum of low-frequency (20–30 Hz) amplitude fluctuations of the ultrasonic (10 MHz) signal specularly scattered from water surfaces covered with monomolecular and thicker crude oil origin films of well-defined, oceanographically relevant viscoelastic properties was examined in laboratory and at-sea conditions. The relationship between the surface water wave (30 Hz) damping coefficient and the oil layer thickness was established, and compared to the one predicted by the classical Stokes theory. The depression of the spectral energy density of wind-driven waves by surface films was inferred from the ratio of acoustic signal fluctuations spectra with/without films, and compared to that resulting from the Marangoni damping theory applicable to monolayers of particular surface viscoelasticity. The agreement between the theory and experimental data was satisfactory. As shown in at-sea experiments performed with a free-floating, buoy-like acoustic system, and an artificial oil slick spread over the Baltic Sea surface, the film’s rheological surface properties can be recovered from acoustic surface probing, as well as oil spill edge detection. Simultaneous statistical analyses of the scattered signal amplitude distribution parameters turned out to be unequivocally related to the oil substance fraction weight, oil layer thickness, and the form of oil contamination.