bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parallelizing user–defined functions in the ETL workflow using orchestration style sheets
Authors: Ali Syed Muhammad Fawad , Mey Johannes , Thiele Maik 
Published: April 2019

Abstract
Today’s ETL tools provide capabilities to develop custom code as user-defined functions (UDFs) to extend the expressiveness of the standard ETL operators. However, while this allows us to easily add new functionalities, it also comes with the risk that the custom code is not intended to be optimized, e.g., by parallelism, and for this reason, it performs poorly for data-intensive ETL workflows. In this paper we present a novel framework, which allows the ETL developer to choose a design pattern in order to write parallelizable code and generates a configuration for the UDFs to be executed in a distributed environment. This enables ETL developers with minimum expertise in distributed and parallel computing to develop UDFs without taking care of parallelization configurations and complexities. We perform experiments on large-scale datasets based on TPC-DS and BigBench. The results show that our approach significantly reduces the effort of ETL developers and at the same time generates efficient parallel configurations to support complex and data-intensive ETL tasks.
Utility optimization–based bandwidth allocation for elastic and inelastic services in peer–to–peer networks
Authors: Li Shiyong , Zhang Yue , Wang Yan , Sun Wei 
Published: April 2019

Abstract
This paper considers reasonable bandwidth allocation for multiclass services in peer-to-peer (P2P) networks, measures the satisfaction of each peer as a customer by a utility function when acquiring one service, and develops an optimization model for bandwidth allocation with the objective of utility maximization. Elastic services with concave utilities are first considered and the exact expression of optimal bandwidth allocation for each peer is deduced. In order to obtain an optimum in distributed P2P networks, we develop a gradient-based bandwidth allocation scheme and illustrate the performance with numerical examples. Then we investigate bandwidth allocation for inelastic services with sigmoidal utilities, which is a nonconvex optimization problem. In order to solve it, we analyze provider capacity provisioning for bandwidth allocation of inelastic services and modify the update rule for prices that service customers should pay. Numerical examples are finally given to illustrate that the improved scheme can also efficiently converge to the global optimum.
Ensembles of instance selection methods: A comparative study
Authors: Blachnik Marcin 
Published: April 2019

Abstract
Instance selection is often performed as one of the preprocessing methods which, along with feature selection, allows a significant reduction in computational complexity and an increase in prediction accuracy. So far, only few authors have considered ensembles of instance selection methods, while the ensembles of final predictive models attract many researchers. To bridge that gap, in this paper we compare four ensembles adapted to instance selection: Bagging, Feature Bagging, AdaBoost and Additive Noise. The last one is introduced for the first time in this paper. The study is based on empirical comparison performed on 43 datasets and 9 base instance selection methods. The experiments are divided into three scenarios. In the first one, evaluated on a single dataset, we demonstrate the influence of the ensembles on the compression–accuracy relation, in the second scenario the goal is to achieve the highest prediction accuracy, and in the third one both accuracy and the level of dataset compression constitute a multi-objective criterion. The obtained results indicate that ensembles of instance selection improve the base instance selection algorithms except for unstable methods such as CNN and IB3, which is achieved at the expense of compression. In the comparison, Bagging and AdaBoost lead in most of the scenarios. In the experiments we evaluate three classifiers: 1NN, kNN and SVM. We also note a deterioration in prediction accuracy for robust classifiers (kNN and SVM) trained on data filtered by any instance selection methods (including the ensembles) when compared with the results obtained when the entire training set was used to train these classifiers.
Efficiency Comparison of Different Photovoltaic Modules
Authors: Kafui Atsu Divine , Seres István , Farkas István 
Published: April 2019

Abstract
Solar photovoltaic power generation capacity is rising continuously as a result of various regional, sub-regional renewable energy policies and the impact of technology development, as well as the increasing environmental concerns. Characteristics of photovoltaic modules are provided by manufacturers after they have been tested indoors under standard test conditions. These parameters may vary under exterior conditions. It is thus imperative to establish the quantity of the energy produced by photovoltaic modules under real operation conditions. This study sought to assess the performance of different kinds of photovoltaic module technologies in the city of Gödöllő, Hungary, and ascertain the behaviour of the modules under real outdoor conditions. Modules include amorphous silicon (a-Si), monocrystalline silicon (mc-Si), polycrystalline silicon (pc-Si), transparent monocrystalline silicon module (mc-Si). Measurement of the module characteristics was performed and various meteorological parameters were obtained. Performance parameters such as performance ratio and efficiency are given and analysed. Module temperature was estimated and evaluated in comparison with experimental values. Energy conversion rates of the modules were determined as 9.4%, 4.4%, 10.3%, 8.2% and 10.4% for mc-Si module transparent glass (165 Wp), a-Si module (glass 40Wp), pc-Si module (105 Wp), pc-Si module (60 Wp) and mc-Si (PV-T 180 Wp), respectively. Under the given outdoor conditions, the highest average performance ratio of 85.2% was obtained for the mc-Si module (transparent glass, 165 Wp), exhibiting the best performance, while pc–Si module (60 Wp) showed the least average performance ratio of 71.8%.
Virtual Modelling and Laboratory Research of Parameters of Planting Unit’s Working Parts
Authors: Kosolapov Vladimir Viktorovich , Kosolapova Elena Valentinovna , Igoshin Denis Nikolaevich , Skorokhodov Anatoly Nikolaevich , Rudenko Alexander Alekseevich 
Published: April 2019

Abstract
Research relevance is determined by the need of agricultural producers of Nizhny Novgorod Region to increase the profitability of sugar beet cultivation and to reduce seed losses at sowing. Another important factor is optimal energy efficiency of sowing machines, which can be achieved by reducing the draft force input required to operate the working parts. Leading approach to the research of this issue is to conduct a multifactorial laboratory experiment, taking into account several factors that have the greatest influence on the process of interaction of working parts with the soil. Virtual simulation methods were applied with use of Computer-Aided Engineering (CAE) FlowVision®(TESIS Group) engineering analysis system, allowing creation of close-to-real controlled conditions. Relationships between the lift angle and the span angle of a duckfoot opener were identified; influence of soil moisture content, speed of working parts and their working depth on draft force input and quality of the formed seedbed was determined with justification of their optimal combination. Presented technology and the planting unit assure the technological process quality, they are of practical value for agricultural and engineering companies, as well as for research institutes for design of modern agricultural machinery.
A familial case report of a 13;22 chromosomal translocation with recurrent intracytoplasmic sperm injection failure
Authors: Verma S , Shah R , Bhat A , Bhat GR , Dada R , Kumar R 
Published: April 2019

Abstract
The importance of cytogenetic analysis in a family with reproductive failure in two siblings is highlighted, where two siblings and their mother presented with a balanced translocation between chromosomes 13;22. The clinical evaluation had shown the female to be normal and the male to be oligoasthenoteratozoospermic despite repeated semen analysis. The couple was referred to our laboratory after three consecutive intracytoplasmic sperm injection (ICSI) failures at a local assisted reproductive technique (ART) center. Peripheral blood lymphocytes, obtained for karyotyping, were studied by a standard G-banding technique. Chromosomal analysis of the members of the pedigree, including the probands, showed the presence of the same translocation, t(13;22)(q21.2;q13.3), carried by three generations of the family. The sister and the mother of the proband had multiple spontaneous abortions in the first trimester. The spouses, when examined cytogenetically, were found to be normal. We propose the involvement of a balanced t(13;22)(q21.2;q13.3) chromosomal translocation in the pathogenesis of recurrent ART or spontaneous reproductive failures. Hence, it is suggested that all cases with structural chromosomal abnormalities be counseled prior to opting for ART and undergoing pre-implantation genetic diagnosis (PGD). This would prevent recurrent financial, physical and emotional stress in couples seeking ART.
Rare case of a heterozygous microdeletion 9q21.11-q21.2: Clinical and genetic characteristics
Authors: Ivanov HY , Stoyanova V , Ivanov I , Linev A , Vazharova R , Ivanov S , Balabanski L , Toncheva D 
Published: April 2019

Abstract
Intellectual disability is affecting 3.0-4.0% of the general population. Copy number variants (CNVs) are a significant cause leading to neurodevelopmental disorders such as intellectual disability, epilepsy, autism spectrum disorders and developmental delay. The use of single nucleotide polymorphism (SNP)-array and array comparative genomic hybridization (aCGH) as diagnostic tools has led to the recognition of new microdeletion/microduplication syndromes associated with neurodevelopmental disorders. It is also useful for further characterization of marker chromosomes. Here, we report a girl with mild intellectual disability and mild facial dysmorphisms. Cytogenetic analysis showed a marker chromosome in some percent of the cells and was followed by SNP-array karyotyping that detected, in addition, a 9655 Mb de novo interstitial deletion at 9q21.1-9q21.2.
Myotonic dystrophy-2: Unusual phenotype due to a small CCTG-expansion
Authors: Finsterer J , Stöllberger C , Reining-Festa A , Loewe-Grgurin M , Gencik M 
Published: April 2019

Abstract
Myotonic dystrophy type 2 (MD2) is a multisystem disease, predominantly affecting the proximal limb muscles, eyes, endocrine organs, heart and intestines. Longterm asymptomatic creatine kinase (hyper-CKemia) of more than 20 years duration, in association with hyperlipidemia and diabetes, as a manifestation of MD2 has not been reported. A 52-year-old female with a history of hyper-CKemia since the age of 32 years associated with diabetes, hyperlipidemia and hyperuricemia, developed anginal chest pain and proximal muscle weakness together with clinical myotonia when opening the fists at age 51 years. Examination revealed a left anterior hemiblock, sensorimotor neuropathy, extensive myotonic discharges on needle electromyography (EMG) and a CCTG-expansion of 134 bp on the ZNF9 gene. The family history was positive for hyper-CKemia and muscle weakness. In addition, over the previous years, she had developed vesico-ureteral reflux, cutaneous melanoma, renal cysts, cervix dysplasias, thrombocytosis, cataracts, arterial hypertension, heterozygous Factor V Leiden mutation, cholecystolithiasis, multiple ovarial cysts and vitamin D deficiency. Asymptomatic, long-term hyper-CKemia in association with multisystem disease should raise the suspicion of a MD2. Rare manifestations of MD2 may be thrombocytosis, hyperuricemia, vesico-ureteral reflux, gallstones, hypertension and cyst formation. In patients with asymptomatic hyper-CKemia, needle EMG should be considered. Myotonic dystrophy type 2 may take a mild course over many years if the CCTG-expansion is short.
Characteristic diagnostic clues of metatropic dysplasia: The lumbothoracic humpback with dumbbell appearance of the long bones
Authors: Gucev Z , Kalcev G , Laban N , Bozinovski Z , Popovski N , Saveski A , Daskalov B , Plaseska-Karanfilska D , Tasic V 
Published: April 2019

Abstract
Metatropic dysplasia (MD) is a rare skeletal dysplasia associated with heterozygous mutations in the TRPV4 gene. We describe a 28-month-old boy with knock-knees referred for metabolic investigation suspected of carrying vitamin D-resistant rickets. He has received regular vitamin D prophylaxis at the usual dose. Laboratory investigations revealed normal values for calcium, phosphorus and alkaline phosphatase. He was short (-3.5 SDS), his mental development was normal, and he started to walk at the age of 22 months. The diagnostic clue for the diagnosis of metatropic dysplasia was the presence of the hump back in the upper lumbar and lower thoracic vertebrae, in addition to a long and narrow chest. An X-ray survey of the skeleton revealed platyspondyly, dysplastic metaphyses with dumbbell appearance of the long bones, kyphoscoliosis, and narrow and elongated thorax with short ribs. This is the first patient with MD in the Republic of Macedonia. Knock-knees were the cause of his referral, as a peculiarity of his phenotype. The very presence of the hump back, and the dumbbell appearance of the long bones distinguished the MD from other bone dysplasias with similar characteristics. We believe that the presence of those two features can shorten the path to accurate diagnosis in the crowded field of overlapping skeletal dysplasias. The diagnosis of MD in this patient was further confirmed by the discovery of the mutation c.2396C>T; p.Pro799Leu (P799L) of the TRPV4 gene.
VoIP Steganography Methods, a Survey
Authors: Deepikaa S. , Saravanan R. 
Published: April 2019

Abstract
Achieving secured data transmission is not always an easy job. Secret data sharing requires confidentiality and Undetectability. Steganography is preferred than cryptography to achieve undetectability. Steganography hides the secret data inside the other file such as text, audio, video, so that the existence of the secret data is completely hidden. Recent research focuses much on utilizing Voice over Internet Protocol (VoIP) calls as a carrier for data hiding. VoIP calls are much preferred among internet users for its wide availability, dynamic time limit and low cost. This paper focuses on data hiding methods that uses VoIP as a carrier. The paper also analyzes the performance of the algorithms using the three metrics undetectability, bandwidth and robustness.
Deep Learning for Plant Classification and Content-Based Image Retrieval
Authors: Gyires-Tóth Bálint Pál , Osváth Márton , Papp Dávid , Szűcs Gábor 
Published: April 2019

Abstract
The main goal of the present research is to classify images of plants to species with deep learning. We used convolutional neural network architectures for feature learning and fully connected layers with logsoftmax output for classification. Pretrained models on ImageNet were used, and transfer learning was applied. In the current research image sets published in the scope of the PlantCLEF 2015 challenge were used. The proposed system surpasses the results of all top competitors of the challenge by 8% and 7% at observation and image levels, respectively. Our secondary goal was to satisfy the users’ needs in content-based image retrieval to give relevant hits during species search task. We optimized the length of the returned lists in order to maximize MAP (Mean Average Precision), which is critical to the performance of image retrieval. Thus, we achieved more than 50% improvement of MAP in the test set compared to the baseline.
Multi-Channel Target Shadow Detection in GPS FSR
Authors: Kabakchiev Hristo , Garvanov Ivan , Behar Vera , Kabakchieva Dorina , Kabakchiev Kalin , Rohling Hermann , Kulpa Krzysztof , Yarovoy Alexander 
Published: April 2019

Abstract
The paper offers new application of a Multi-channel Forward Scatter Radar (MFSR), which uses GPS signals for detection of air targets on their GPS radio shadows. The multi-channel GPS MFSR detector consists of several channels, which process information from several satellites simultaneously. The phenomena of diffraction in the near area is used for shadow target detection. The target is considered to be detected, if it is detected at least in one of detector channels. Two experiments have been made to verify the proposed detection algorithm. The results obtained show that the proposed multi-channel detection algorithm can be successfully used for detection of low-flying air targets at very short distances or the near area of diffraction. Such targets are undetectable in GPS bistatic radar.
A Century of Humanistic Sociology and the Biographical Method
Authors: Kaleta Andrzej 
Published: April 2019

Abstract
The paper presents a synthetic résumé of the writings of Florian Znaniecki and Józef Chałasiński, with a particular focus on their most fundamental works: The Polish Peasant in Europe and America and Młode pokolenie chłopów (‘The Young Generation of Peasants’). The author analyses the theses discussed in the books, stressing their contribution to the development of sociology world-wide, particularly in terms of rural sociology and the so-called Polish Method. The article discusses theoretical approaches and methodological solutions introduced by these two scholars, while also drawing attention to changes in the reception of the two cited works.
Development Perspectives of Rural Tourism Policy – a Comparative Study of Rural Tourism Competitiveness Based on Perceptions of Tourism Workers in Slovenia and Serbia
Authors: Gajić Tamara , Penić Mirjana , Vujko Aleksandra , Petrović Marko D. 
Published: April 2019

Abstract
This paper deals with the development of rural areas in Slovenia and Serbia. The article identifies the main characteristics of rural tourism competitiveness in Slovenia and Serbia, analysing the main contributions and making a series of proposals to guide a future research agenda. The aim of the paper is simplified and clarified around one clearly defined objective: point out the competitiveness of rural tourism. The data for this study was collected using Dwyer and Kim’s (2003) Integrated Model of Destination Competitiveness to observe Slovenia’s and Vojvodina’s (Serbia) destination competitiveness. Determinants were assessed using a survey evaluating 24 indicators (demand factors and supporting factors), based upon a Likert Scale.
Knowledge Networking in Agricultural Practice. Case study from Slovenia
Authors: Ličen Nives , Božnar Franja , Podgoršek Jože 
Published: April 2019

Abstract
This study analyses knowledge networking between educational institution/knowledge provider, associations and knowledge users in the agricultural sector within the local environment in Slovenia. It is based on the theory of expansive learning and the concept of knowledge networking. A qualitative research paradigm using ethnography and in-depth semi-structured interviews has been used and involved various actors included in selected activity systems (the educational institution, associations and knowledge users). Our findings indicate that cooperation between associations and the educational institution has advantages for all involved and that, according to research participants, it fosters the transfer of knowledge from the academic/research sphere into practice.
In the case studied, we describe the development of new forms of connections between local knowledge and academic knowledge, both developing as a part of real-world complex learning environment. Knowledge networks have thus been built by enabling the transfer of explicit and tacit knowledge through social networks and by the development of new practices.
Homo Economicus and the Shepherd: the Traditional Sheep Farmer Facing the Modernisation (or Intensification) of European Livestock
Authors: de Arriba Raul , Barac Maja 
Published: April 2019

Abstract
The economic importance of sheep farming is somewhat reduced from a macroeconomic point of view and only makes up a small part of agrarian income and employment. The quantitative macroeconomic evidence shows that the activity of traditional sheep farming is not profitable enough, while the trends seem to be moving toward a reduction in the number of farms, in their concentration and in their intensification. The paper presents the research results with the focus on voactional motiations of farmer.
Relations between risk attitudes, culture and the endowment effect
Authors: Derecskei Anita Kolnhofer 
Published: April 2019

Abstract
The main purpose of this research was to examine whether systematic cross-national differences existed in risk preferences. As a part of the survey, it was also tested how the subjects decided on behalf of their friends. Considering the type of risk-taking and the role of endowment plus relevant cultural backgrounds, the answerers were grouped, and each segment could be identified. Finally, this segmentation could be correlated with behaviour in risk decisions. Here, the Allais situation was used testing respondent behaviour in risky decision-making on behalf of others. This paper used the validated DOSPERT Scale, measuring risk perceptions and risk preferences of international students (n=244). The used survey contained different risk attitudes depending on decision making and involved the following criteria: Ethical, Financial, Health or Safety, Recreational, and Social Risks. Applying the DOSPERT Scale, differences were also found between ‘Risk-Taking’, ‘Risk-Perceptions’, and ‘Expected Benefits’. This result can be explained by different risk attitudes particular to people making decisions involving measured risks. At the same time, thanks to the worldwide sample, this paper focused on cultural differences and observed the impact of different cultural backgrounds on risk-taking. Comparing personal traits with Hofstede’s cultural UAI (Uncertainty Avoidance Index) helped us understand deeper cultural influences. The sample was widely heterogeneous, which led to some changes in the original research question and provided a new method in the conceptual model. Based on the state of the art, a conceptual model was deduced, three hypotheses were tested, and three various segments were identified regarding the personal DOSPERT (Domain-Specific Risk-Taking Scale) Risk Preferences. In the second part of the paper, Personal Risk Preferences were connected and tested not only using the national culture background but also attitudes towards the endowment. Although there was no significant correlation between the distribution of risk perception, the styles of each role might show how the cultural heritage impacts various decisions and risk levels.