bluuebunny/crossref_metadata_2025_split huggingface dataset:
CAP limits in telecom subscriber database design
Authors: Arauz Javier 
Published: May 2015

While the notion of a Distributed DBMS has been familiar to the IT industry for several decades, within telecom networks the subscriber data management based on DDBMS technology is a novel addition to a service provider's infrastructure.
Service providers are used to telecom networks that are efficient, reliable and easy to maintain and operate, in part thanks to the node model used in designing such networks. A DDBMS spanning a large geographical area however incurs into distributed systems issues not previously seen in telecom networks.
Identifying and delivering the right set of trade-offs that satisfies the service providers' needs while staying within the known physical bounds of a distributed system is therefore crucial if DDBMS are to conquer the subscriber management space within telecom networks.
DGFIndex for smart grid
Authors: Liu Yue , Hu Songlin , Rabl Tilmann , Liu Wantao , Jacobsen Hans-Arno , Wu Kaifeng , Chen Jian , Li Jintao 
Published: May 2015

In Smart Grid applications, as the number of deployed electric smart meters increases, massive amounts of valuable meter data is generated and collected every day. To enable reliable data collection and make business decisions fast, high throughput storage and high-performance analysis of massive meter data become crucial for grid companies. Considering the advantage of high efficiency, fault tolerance, and price-performance of Hadoop and Hive systems, they are frequently deployed as underlying platform for big data processing. However, in real business use cases, these data analysis applications typically involve multidimensional range queries (MDRQ) as well as batch reading and statistics on the meter data. While Hive is high-performance at complex data batch reading and analysis, it lacks efficient indexing techniques for MDRQ.
In this paper, we propose DGFIndex, an index structure for Hive that efficiently supports MDRQ for massive meter data. DGFIndex divides the data space into cubes using the grid file technique. Unlike the existing indexes in Hive, which stores all combinations of multiple dimensions, DGFIndex only stores the information of cubes. This leads to smaller index size and faster query processing. Furthermore, with pre-computing user-defined aggregations of each cube, DGFIndex only needs to access the boundary region for aggregation query. Our comprehensive experiments show that DGFIndex can save significant disk space in comparison with the existing indexes in Hive and the query performance with DGFIndex is 2-50 times faster than existing indexes in Hive and HadoopDB for aggregation query, 2-5 times faster than both for non-aggregation query, 2-75 times faster than scanning the whole table in different query selectivity.
Engineering high-performance database engines
Authors: Neumann Thomas 
Published: May 2015

Developing a database engine is both challenging and rewarding. Database engines are very complex software artifacts that have to scale to large data sizes and large hardware configurations, and developing such systems usually means choosing between different trade-offs at various points of development.
This papers gives a survey over two different database engines, the disk-based SPARQL-processing engine RDF-3X, and the relational main-memory engine HyPer. It discusses the design choices that were made during development, and highlights optimization techniques that are important for both systems.
BF-tree
Authors: Athanassoulis Manos , Ailamaki Anastasia 
Published: May 2015

The increasing volume of time-based generated data and the shift in storage technologies suggest that we might need to reconsider indexing. Several workloads - like social and service monitoring - often include attributes with implicit clustering because of their time-dependent nature. In addition, solid state disks (SSD) (using flash or other low-level technologies) emerge as viable competitors of hard disk drives (HDD). Capacity and access times of storage devices create a trade-off between SSD and HDD. Slow random accesses in HDD have been replaced by efficient random accesses in SSD, but their available capacity is one or more orders of magnitude more expensive than the one of HDD. Indexing, however, is designed assuming HDD as secondary storage, thus minimizing random accesses at the expense of capacity. Indexing data using SSD as secondary storage requires treating capacity as a scarce resource.
To this end, we introduce approximate tree indexing, which employs probabilistic data structures (Bloom filters) to trade accuracy for size and produce smaller, yet powerful, tree indexes, which we name Bloom filter trees (BF-Trees). BF-Trees exploit pre-existing data ordering or partitioning to offer competitive search performance. We demonstrate, both by an analytical study and by experimental results, that by using workload knowledge and reducing indexing accuracy up to some extent, we can save substantially on capacity when indexing on ordered or partitioned attributes. In particular, in experiments with a synthetic workload, approximate indexing offers 2.22x-48x smaller index footprint with competitive response times, and in experiments with TPCH and a monitoring real-life dataset from an energy company, it offers 1.6x-4x smaller index footprint with competitive search times as well.
ADDICT
Authors: Tözün Pinar , Atta Islam , Ailamaki Anastasia , Moshovos Andreas 
Published: May 2015

Recent studies highlight that traditional transaction processing systems utilize the micro-architectural features of modern processors very poorly. L1 instruction cache and long-latency data misses dominate execution time. As a result, more than half of the execution cycles are wasted on memory stalls. Previous works on reducing stall time aim at improving locality through either hardware or software techniques. However, exploiting hardware resources based on the hints given by the software-side has not been widely studied for data management systems.
In this paper, we observe that, independently of their high-level functionality, transactions running in parallel on a multicore system execute actions chosen from a limited sub-set of predefined database operations. Therefore, we initially perform a memory characterization study of modern transaction processing systems using standardized benchmarks. The analysis demonstrates that same-type transactions exhibit at most 6% overlap in their data footprints whereas there is up to 98% overlap in instructions.
Based on the findings, we design ADDICT, a transaction scheduling mechanism that aims at maximizing the instruction cache locality. ADDICT determines the most frequent actions of database operations, whose instruction footprint can fit in an L1 instruction cache, and assigns a core to execute each of these actions. Then, it schedules each action on its corresponding core. Our prototype implementation of ADDICT reduces L1 instruction misses by 85% and the long latency data misses by 20%. As a result, ADDICT leads up to a 50% reduction in the total execution time for the evaluated workloads.
Efficient identification of implicit facts in incomplete OWL2-EL knowledge bases
Authors: Liagouris John , Terrovitis Manolis 
Published: May 2015

Integrating incomplete and possibly inconsistent data from various sources is a challenge that arises in several application areas, especially in the management of scientific data. A rising trend for data integration is to model the data as axioms in the Web Ontology Language (OWL) and use inference rules to identify new facts. Although there are several approaches that employ OWL for data integration, there is little work on scalable algorithms able to handle large datasets that do not fit in main memory.
The main contribution of this paper is an algorithm that allows the effective use of OWL for integrating data in an environment with limited memory. The core idea is to exhaustively apply a set of complex inference rules on large disk-resident datasets. To the best of our knowledge, this is the first work that proposes an I/O-aware algorithm for tackling with such an expressive subset of OWL like the one we address here. Previous approaches considered either simpler models (e.g. RDFS) or main-memory algorithms. In the paper we detail the proposed algorithm, prove its correctness, and experimentally evaluate it on real and synthetic data.
Multi-objective parametric query optimization
Authors: Trummer Immanuel , Koch Christoph 
Published: May 2015

Classical query optimization compares query plans according to one cost metric and associates each plan with a constant cost value. In this paper, we introduce the Multi-Objective Parametric Query Optimization (MPQ) problem where query plans are compared according to multiple cost metrics and the cost of a given plan according to a given metric is modeled as a function that depends on multiple parameters. The cost metrics may for instance include execution time or monetary fees; a parameter may represent the selectivity of a query predicate that is unspecified at optimization time.
MPQ generalizes parametric query optimization (which allows multiple parameters but only one cost metric) and multi-objective query optimization (which allows multiple cost metrics but no parameters). We formally analyze the novel MPQ problem and show why existing algorithms are inapplicable. We present a generic algorithm for MPQ and a specialized version for MPQ with piecewise-linear plan cost functions. We prove that both algorithms find all relevant query plans and experimentally evaluate the performance of our second algorithm in a Cloud computing scenario.
Inbreeding in Pembroke Welsh Corgi Population in Poland
Authors: Świderek Wiesław Piotr , Fiszdon Katarzyna , Kacprzak Natalia 
Published: May 2015

Abstract
The objective of this study was to determine changes in the coefficients of inbreeding for a comparatively new Polish population of Pembroke Welsh Corgis. Calculations were based on 780 pedigrees of dogs born between 1979 and 2010 and registered with the Polish Kennel Club. The mean inbreeding coefficients for animals born during those years varied from 0.4% to 8.93%. The lowest individual inbreeding coefficient was 0.06%, whereas the highest reached 25.1%.
The Influence of WPC 80 Additive on the Stability of Water-In-Oil Emulsions
Authors: Tabaszewska Małgorzata , Grega Tadeusz , Najgebauer-Lejko Dorota , Jaworska Grażyna 
Published: May 2015

Abstract
The effect of 0, 1.5, 5, 10 and 15 (g 100 g-1 of emulsion) WPC 80 additive (80% whey protein concentrate) on the pH, physical, oxidative and microbiological stability of the water-in-oil emulsion was studied during 16-week storage at ~20°C at 4-week intervals. All determined features were significantly affected by the supplementation. The most beneficial as regards storage stability was the emulsion with 5% of WPC 80. This treatment was the most resistant to oxidative changes showing low increase of the concentration of conjugated diene hydroperoxides (from 0.92 to 1.04 mg g-1) and of the thiobarbituric acid reactive substances (from 0.83 to 1.37 mg malondialdehyde g-1) as well as only slight increment (by 0.47 log CFU g-1) of the microorganisms number during storage. Thus, the results of the present study revealed that whey proteins can be applied in the proper amount to produce cosmetic emulsions composed of natural ingredients and with reasonable storage stability.
Guanine Nucleotide Binding Protein (GNAS Complex Locus) Gene Produces Biallelically Expressed and Paternally Expressed Transcripts in Pigs
Authors: Oczkowicz Maria , Piestrzyńska-Kajtoch Agata , Ropka-Molik Katarzyna 
Published: May 2015

Abstract
Imprinted loci are a subset of genes expressed only from one parental allele. Guanine nucleotide binding protein (GNAS complex locus) produces a few different proteins and noncoding RNAs. It is imprinted in mice and humans, while in pigs imprinting status of only one of them - NESP55 (neuroendocrine secretory protein-55) has been established. In the present study we aimed to establish imprinting status of the other two GNAS transcripts. We collected a panel of tissues (muscle, liver, kidney cortex, heart, fat, ovary, brain, blood) from the animals (aged 40-210 days) heterozygous in rs#333005482 polymorphism. We performed several RT -PCRs (Reverse Transcription Polymerase Chain Reactions) with variant specific primers and sequenced the cDNA products obtained. We observed only paternal allele in all tissues at all developmental stages after sequencing with primers specific to variant 8 of GNAS gene and both alleles when sequencing with primers specific to variant 6. Our results show for the first time that, in pigs, GNAS complex locus produces biallelically expressed and paternally expressed transcripts, in the same way as previously demonstrated in mice and humans
Red deer farming: breeding practice, trends and potential in Poland – A Review
Authors: Kuba Jarosław , Landete-Castillejos Tomas , Udała Jan 
Published: May 2015

Abstract
Red deer farming has started to play a greater role in modern agriculture and today is an interesting alternative for pig or cattle breeders. With regard to the low effort and high efficiency of maintenance, it may be expected that keeping these animals in fenced enclosures will be more popular over time. This trend is warranted by the fact that the demand on two main deer products: venison and antlers, is constantly rising, due to the quality of deer meat and prices of antler hunting trophies. Several countries of the world have already realized the scale of advantages to be derived from deer farming and today are world leaders in this area. Despite this expansion, the market still remains opened for deer products. Poland is a country with the climatic conditions, vast plain areas and varied vegetation that are fully sufficient to undertake large-scale deer farming, and to become a European leader. Therefore the aim of this review is to detail deer farming within the Polish framework and environmental conditions, and to illustrate its potential in sustainable modern agriculture and the economy.
Extra-Gastrointestinal retroperitoneal giant stromal tumor complicated with intra-tumoral hemorrhage: case report and literature review
Authors: Suciu B.A. , Bud V. , Milutin Doina , Halmaciu Ioana , Constantin C. , Brinzaniuc Klara 
Published: May 2015

Abstract
Gastrointestinal stromal tumors are an uncommon sarcomas with mesenchymal origin that arises in the gastrointestinal tract. Recently, most of the published reports describe such tumors located outside of the gastrointestinal tract, with similar pathological characteristics and are named extra-gastrointestinal stromal tumors. We report the case of a patient suffering for a giant retroperitoneal extra-gastrointestinal stromal tumor, complicated with intra-tumoral hemorrhage. The particularity of this case is the presence of the intra-tumoral hemorrhage in a retroperitoneal extragastrointestinal stromal tumor that grew rapidly in volume (in 1 week).
Considerations on the caliber of the internal iliac vein
Authors: Popa Oana , Bordei P. , Ionescu C. , Iliescu D.M. 
Published: May 2015

Abstract
The diameter at the origin of the internal iliac vein was found between 4.7 to 9.9 mm; for the right internal iliac vein between 4.7 to 9.7 mm; the statistical distribution groups value in ascending order being as follows: 4.7 to 5.5 mm: 4 cases (22.22% of cases); 6.9 to 7.8 mm: 6 cases (33.33% of cases); 8.4-8.8 mm: 4 cases (22.22% of cases); 9.1 to 9.7 mm: 4 cases (22.22% of cases). The diameter at the origin of the left internal iliac vein was between 4.8 to 9.9 mm, while the distribution statistics on groups of values, in ascending order, being as follows: 4.8-5.2 mm: 4 cases (22.22 % of cases); 6.8-7.1 mm: 8 cases (44.44% of cases); 8.3 to 9.9 mm: 6 cases (33.33% of cases). The diameter at the end of the internal iliac vein was between 5.9 to 10.2 mm; the diameter at the end of the right internal iliac vein was between 6.1 to 10.2 mm, the statistical distribution of values groups in ascending order being follows: 6.1 to 7.5 mm: 6 cases (33.33% of cases); 8.4 to 8.7 mm: 8 cases (44.44% of cases); 9.3 to 10.2 mm: 4 cases (22.22% of cases). The diameter at the end of the left internal iliac vein was between 5.9 to 9.9 mm, while the distribution statistics on groups of values in ascending order being as follows: 5.9 to 6.2 mm: 4 cases (22.22 % of cases); 7 to 7.6 mm: 3 cases (16.67% of cases); 8.3-8.4 mm: 5 cases (27.28% of cases); 9.1 to 9.9 mm: 6 cases (33.33% of cases). Comparing the common iliac vein caliber of the two, right and left, we found that in 10 cases (55.56% of cases), the right internal iliac vein has a greater diameter than the left one by 0.3 mm. In 8 cases (44.44% of cases), the left internal iliac vein has a larger diameter than the right one with 0.1-0.6 mm; between the two values there is a difference of 0.5 mm
Morphometric Characterization of Marginal Zone Lymphoma
Authors: Chisoi Anca , Aşchie Mariana , Enciu Manuela 
Published: May 2015

Abstract
The morphometry in histopathology is used to characterize cell populations belonging to different tissues and to identify differences in their parameters with prognostic implications. To achieve morphometric examination were selected 6 of 8 cases identified as marginal zone lymphoma. For each case analysis was done on five fields, for each field measuring the parameters of 20 cells. The studied parameters were for cytoplasm: cytoplasmic area, maximum and minimum cytoplasmic diameter, cytoplasmic perimeter; for nucleus were measured: nuclear area, minimum and maximum nuclear diameter, nuclear perimeter, nuclear contour index, nuclear ellipticity index, nuclear irregularity index. Also the nucleo-cytoplasmic ratio was calculated in all studied cases. Marginal zone lymphoma is characterized in terms of morphometric parameters by small cytoplasmic and nuclear area, and small nucleo-cytoplasmatic ratio of about 1:1. Nuclear contour index is small, accompanied by a large ellipticity index and an small index of nuclear irregularity. Standard deviations for measured morphometric parameters are variable, having high values for cytoplasmic and nuclear area, highlighting the polymorphic nature of the cells. Morphometric aspects, with corresponding microscopic aspects of large and small lymphocyte proliferation with cleaved and uncleaved nuclei, fit this form of lymphoma in terms of clinical outcome in indolent lymphomas category.
Basaloid squamous cell carcinoma of the larynx: case report
Authors: Cojocaru Oana , Aschie Mariana , Micu Luminita Gentiana , Baltatescu Gabriela Izabela , Nicolau Antonela Anca 
Published: May 2015

Abstract
Basaloid squamous cell carcinoma is a rare variant of squamous cell carcinoma that most often occurs in the upper aerodigestive tract. This type of tumor has an aggressive behavior and usually is diagnosed in the advances stage. The diagnosis of basaloid squamous cell carcinoma is rather difficult and is based on histopathological and immunohistochemical examination. We report a case of laryngeal basaloid squamous cell carcinoma diagnosed by histological examination of a excisional biopsy specimen. The patient was a 57-year old female with a 3 months-history hoarseness and odynophagia. The histopathological aspect was strongly suggestive for BSCC. Immunohistochemical examination has been done using a panel of biomarkers in order to confirm our initial diagnose. The tumors nests were positive for squamous epithelial marker citokeratin 34βE12, AE1/AE3, CK 19 and also p53 and negative for carcinoembryonic antigen (CEA), vimentin and for neuroendocrine markers. Ki- 67 marker was positive in 60% of the tumoral cells. Based on histopathological and immunohistochemical findings, the tumor was diagnosed as basaloid squamous cell carcinoma.
Crohn’s disease: A case report with literature review
Authors: Maiorean Alexandra , Aşchie Mariana , Mitroi Anca Florentina , Poinareanu I. 
Published: May 2015

Abstract
Crohn’s disease is an idiopathic inflammatory disorder which can affect any segment of the digestive tract. Generally considered uncommon and often underestimated, it can endanger the patient’s life due to its local and systemic complications. In this article we present the case of a 67-year-old male patient who was admitted for cramping abdominal pain, nonbloody diarrhea, fever and anorexia. He described a 5-year history of similar episodes composed of the same symptoms for which he was admitted. In the past no diagnosis was confirmed and he received no treatment, due to the fact that the episodes were autolimited and the patient didn’t ask for medical attention. In this case surgery was required and the diagnosis of Crohn’s disease was histopathologically confirmed, thus leading to a proper choice of treatment to avoid possible complications.
DOLUTEGRAVIR efficacy in HIV infected patients
Authors: Dumitru Irina Magdalena , Cernat Roxana Carmen , Rugină S. 
Published: May 2015

Abstract
In the past years there have been numerous discoveries regarding treatment of patients with HIV. If at first the doctors watched as patients live longer, now we want these patients to live better with regimens potent, safe, individualized and without side effects. HAART has revolutionized “the world HIV” and caused a significant reduction in mortality, and morbidity associated with HIV-related opportunistic infections. However, side effects associated with HAART, metabolic toxicity (such as abnormal fat distribution, abnormal lipid and glucose metabolism, and bone loss) and the large number of pills led to decreased patient adherence.
Statistical Control Charts: Performances of Short Term Stock Trading in Croatia
Authors: Dumičić Ksenija , Žmuk Berislav 
Published: May 2015

Abstract
Background: The stock exchange, as a regulated financial market, in modern economies reflects their economic development level. The stock market indicates the mood of investors in the development of a country and is an important ingredient for growth. Objectives: This paper aims to introduce an additional statistical tool used to support the decision-making process in stock trading, and it investigate the usage of statistical process control (SPC) methods into the stock trading process. Methods/Approach: The individual (I), exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts were used for gaining trade signals. The open and the average prices of CROBEX10 index stocks on the Zagreb Stock Exchange were used in the analysis. The statistical control charts capabilities for stock trading in the short-run were analysed. Results: The statistical control chart analysis pointed out too many signals to buy or sell stocks. Most of them are considered as false alarms. So, the statistical control charts showed to be not so much useful in stock trading or in a portfolio analysis. Conclusions: The presence of non-normality and autocorellation has great impact on statistical control charts performances. It is assumed that if these two problems are solved, the use of statistical control charts in a portfolio analysis could be greatly improved.