bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fracture Initiation and Propagation in a Deep Shale Gas Reservoir Subject to an Alternating-Fluid-Injection Hydraulic-Fracturing Treatment
Authors: Hou Bing , Chang Zhi , Fu Weineng , Muhadasi Yeerfulati , Chen Mian 
Published: May 2019

Summary
Deep shale gas reservoirs are characterized by high in-situ stresses, a high horizontal-stress difference (12 MPa), development of bedding seams and natural fractures, and stronger plasticity than shallow shale. All of these factors hinder the extension of hydraulic fractures and the formation of complex fracture networks. Conventional hydraulic-fracturing techniques (that use a single fluid, such as guar fluid or slickwater) do not account for the initiation and propagation of primary fractures and the formation of secondary fractures induced by the primary fractures. For this reason, we proposed an alternating-fluid-injection hydraulic-fracturing treatment. True triaxial hydraulic-fracturing tests were conducted on shale outcrop specimens excavated from the Shallow Silurian Longmaxi Formation to study the initiation and propagation of hydraulic fractures while the specimens were subjected to an alternating fluid injection with guar fluid and slickwater. The initiation and propagation of fractures in the specimens were monitored using an acoustic-emission (AE) system connected to a visual display. The results revealed that the guar fluid and slickwater each played a different role in hydraulic fracturing. At a high in-situ stress difference, the guar fluid tended to open the transverse fractures, whereas the slickwater tended to activate the bedding planes as a result of the temporary blocking effect of the guar fluid. On the basis of the development of fractures around the initiation point, the initiation patterns were classified into three categories: (1) transverse-fracture initiation, (2) bedding-seam initiation, and (3) natural-fracture initiation. Each of these fracture-initiation patterns had a different propagation mode. The alternating-fluid-injection treatment exploited the advantages of the two fracturing fluids to form a large complex fracture network in deep shale gas reservoirs; therefore, we concluded that this method is an efficient way to enhance the stimulated reservoir volume compared with conventional hydraulic-fracturing technologies.
Using an Experiment/Simulation-Integrated Approach To Investigate Fracture-Conductivity Evolution and Non-Darcy Flow in a Proppant-Supported Hydraulic Fracture
Authors: Fan Ming , McClure James , Han Yanhui , Ripepi Nino , Westman Erik , Gu Ming , Chen Cheng 
Published: May 2019

SummaryOptimizing proppant-pack conductivity in a hydraulic fracture is of critical importance to sustaining effective and economical production of petroleum hydrocarbons. In this study, a hybrid, experiment/simulation-integrated workflow, which combines the discrete element method (DEM) and the lattice Boltzmann (LB) method with laboratory-measured load-embedment correlations, was developed to advance the understanding of fracture-conductivity evolution from partial-monolayer to multilayer concentrations. The influence of compressive stress and proppant-diameter heterogeneity on non-Darcy flow behaviors was also investigated. The DEM method was used to simulate effective-stress increase and the resultant proppant-particle compaction and rearrangement. Proppant-embedment distance was then determined using an empirical correlation obtained by fitting experimental data. The final pore structure of the proppant pack was imported into the LB simulator as interior boundary conditions of fluid-flow modeling in the calculation of time-dependent permeability of the proppant pack. To validate the integrated workflow, proppant-pack conductivity as a function of increasing proppant concentration was simulated and then compared with laboratory data. Good agreement was observed between the workflow-derived and laboratory-measured fracture-conductivity vs. proppant-concentration curves. Furthermore, the role of proppant size, size heterogeneity, and closure pressure on the optimal partial-monolayer proppant concentration was investigated. The optimal partial-monolayer proppant concentration has important engineering implications, because one can achieve a considerable fracture conductivity using a partial-monolayer proppant structure, which has much lower material costs compared with the conventional multilayer proppant structures. To investigate the effect of non-Darcy flow on fracture conductivity, three proppant packs with the same average diameter but different diameter distributions were generated. Specifically, the coefficient of variation (COV) of diameter, defined as the ratio of standard deviation of diameter to mean diameter, was used to characterize the heterogeneity of particle size. The results of this research provide fundamental insights into the multiphysics processes regulating the conductivity evolution of a proppant-supported hydraulic fracture, as well as the role of compressive stress and proppant-size heterogeneity in non-Darcy flows.
Multiple game based rehabilitation platform instead of intensified conventional balance training in patients with stroke: pilot study
Authors: Cikajlo Imre , Rudolf Marko , Mainetti Renato , Borghese Nunzio Alberto 
Published: May 2019

Abstract
Background: People who survive a stroke usually suffer for moderate to severe movement disorders such as uncontrollable movements of the limb, posture and balance disorders. An intensive and repetitive physiotherapy and balance training are often a key to functional restoration of movements. Recently modern rehabilitation centers have offered virtual reality supported balance training with exergames in addition to the conventional therapy. However, the choice of the appropriate exergame is still not straightforward.
Methods: We designed a randomized pilot study investigating how different types of balance training in addition to the physiotherapy program influence on functional outcomes. 20 eligible participants were randomized into 2 groups; exergaming vs conventional balance training. Multiple-game platform with exergames supporting single leg exercises, weight shifting, balancing and standing up and equivalent conventional physiotherapy exercises were used. Center of pressure was monitored during exergaming and clinical impact was evaluated with the Four Square Step Test (FSST), Timed Up & Go, 10m Walk Test (10MWT), Romberg, Sharpened Romberg, Clinical Test for Sensory Interaction in Balance in both groups. Statistical tests were used to find statistically significant (p < 0.05) differences and Cohen’s U3 test to examine the effect sizes.
Results: Participants of both groups demonstrated substantively and statistically significant improvements of functional balance, in particular the exergaming group (FSST p = 0.009, U3 = 0.9 and 10MWT p = 0.008, U3 = 0.9). . However, significant differences between the groups were found only in tests with eyes closed, Sharpened Romberg test (p = 0.05) and standing on the right leg (p = 0.035). We found a decrease of center of pressure area for up to 20% in the exergaming group.
Conclusions: In the exergaming group the participants achieved improved functional balance that could be well targeted by the selection of games and objectively evaluated. The modern approach had a great potential by choosing the appropriate game to target the exercise, but the low statistical power may hinder the equivalence of both additional balance training methods. However, the exergaming provided independent balance training, also feasible without physiotherapist’s strenuous work that may be crucial for future home or telerehabilitation services.
Lenticulostriate Artery Infarction Involving the Striatocapsular Region: A High-resolution MRI Study
Authors: Jia Lin , Lv Jinghao , Zhang Na , Zhang Lei , Chang Cun , Kukun Hanjiaerbieke , Jia Wenxiao , Liu Xin 
Published: May 2019

Abstract
Background

To study the effectiveness of three-dimensional high-resolution magnetic resonance vessel wall imaging (3D-HR-VWI) in diagnosing ischemic stroke caused by perforating artery infarction.

Methods

We retrospectively studied 38 patients who were admitted to two different centers in China between 2016 and 2018. We examined the structure of the lenticulostriate arteries by 3D-HR-VWI and studied the characteristics of the perforating arterial lesions.

Results

There were no statistically significant differences between the number of lenticulostriate arteries on the lesion side and the normal side (P=0.2512), but there was a significant difference in the ratio of lenticulostriate arteries between patients with a striatum infarction and those with single perforating artery infarction (P=0.020). The depths of the lenticulostriate arteries on the lesion sides were also significantly different between the two groups (P=0.032). Differences among risk factors including hypertension, diabetes, hyperlipidemia, and smoking were not statistically significant. The differences in vascular involvement, length of M1 lesions, etiological type, number of lenticulostriate arteries, and depth of the lenticulostriate arteries were also not significant.

Conclusion

3D-HR-VWI can show lesions of the lenticulostriate arteries and perforating arteries clearly, which has diagnostic value for judging the nature of ischemic stroke caused by perforating artery disease.
De novo assembly and characterization of the liver transcriptome of Mugil incilis (lisa) using next generation sequencing
Authors: Bertel-Sevilla Angela , Alzate-Restrepo Juan , Olivero-Verbel Jesus 
Published: May 2019

Abstract
Background

Mugil incilis (lisa) is an important commercial fish species in many countries, living along the coasts of the western Atlantic Ocean. It has been used as a model organism for environmental monitoring and ecotoxicological investigations. Nevertheless, available genomic and transcriptomic information for this organism is extremely deficient. The aim of this study was to characterize M. incilis hepatic transcriptome using Illumina paired-end sequencing.

Results

A total of 32.082.124 RNA-Seq read pairs were generated utilizing the HiSeq platform and subsequently cleaned and assembled into 93.947 contigs (with N50 = 2.019 bp). The analysis of species distribution revealed that M. incilis contigs had the highest number of hits to Stegastes partitus (36.6%). Using a sequence similarity search against the public databases GO and KEGG, a total of 71.271 and 16.974 contigs were annotated, respectively. KEGG showed genes related to environmental information, metabolism and organismal system pathways were highly annotated. Complete or partial coding DNA sequences for several candidate genes associated with stress responses/detoxification of xenobiotics, as well as housekeeping genes, were employed to design primers that were successfully tested and validated by RT-qPCR.

Conclusions

This study presents the first transcriptome resources for Mugil incilis and provides basic information for the development of genomic tools, such as the identification of RNA markers, useful to analyze environmental impacts on this fish Caribbean species.
Analysis of molecular mechanism for acceleration of polyembryony using gene functional annotation pipeline in Copidosoma floridanum
Authors: Sakamoto Takuma , Nishiko Maaya , Bono Hidemasa , Nakazato Takeru , Yoshimura Jin , Tabunoki Hiroko , Iwabuchi Kikuo 
Published: May 2019

Abstract
Background: Polyembryony, when several embryos are clonally produced from a single egg, is found in humans, armadillo, and some endoparasitoid insects. Thus, although polyembryony is conserved through insects to mammals, the polyembryogenesis progress remains obscure in these animals. The polyembryonic parasitoid wasp Copidosoma floridanum oviposits its egg into the host insect egg, and, eventually, >2000 individuals occur from one egg. We reported previously that polyembryogenesis was enhanced by juvenile hormone (JH) treatment under the culture condition. Hence, we performed RNA-Seq analysis to elucidate the molecular mechanisms in controlling polyembryogenesis using C. floridanum. Nevertheless, C. floridanum genes do not have a functional gene annotation because of partial whole-genome sequence elucidation. Hence, we constructed a gene functional annotation pipeline for C. floridanum and performed a molecular network analysis in C. floridanum.
Results: We extracted fluctuated genes from control and JH treatment molura after 48-h culture to assess molecular mechanisms in polyembryogenesis. Consequently, we obtained 11,117 transcripts and 217 differentially expressed genes in the JH treatment group compared with the control group. Whereas, we used the blastp program to assign whole C. floridanum transcripts to human gene. Remarkably, 76% of C. floridanum transcripts were assigned to human genes. Moreover, we determined platelet degranulation and fatty acid biosynthetic process, suppressing cell morphogenesis involved in the differentiation and integrin signaling pathway by the gene enrichment analysis in the JH treatment group compared with the control group. Furthermore, we noted that molecular interaction possibly associated with polyembryogenesis using Cytoscape.
Conclusions: In this study, we constructed C. floridanum gene functional annotation pipeline and C. floridanum transcripts shared with homology to human genes during early embryo developmental stage. Additionally, this study establishes new molecular interactions associated with polyembryogenesis; these molecules could elucidate molecular mechanism in polyembryony, suggesting a possibility of using the molecular interaction in twinning of humans.
Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models
Authors: Esteban Marina , Peña-Chilet María , Loucera Carlos , Dopazo Joaquin 
Published: May 2019

Abstract
Background: In spite of the abundance of genomic data, predictive models that describe phenotypes as a function of gene expression or mutations are difficult to obtain because they are affected by the curse of dimensionality, given the disbalance between samples and candidate genes. And this is especially dramatic in scenarios in which the availability of samples is difficult, such as the case of rare diseases.
Results: The application of multi-output regression machine learning methodologies to predict the potential effect of external proteins over the signaling circuits that trigger Fanconi anemia related cell functionalities, inferred with a mechanistic model, allowed us to detect over 20 potential therapeutic targets.
Conclusions: The use of artificial intelligence methods for the prediction of potentially causal relationships between proteins of interest and cell activities related with disease-related phenotypes opens promising avenues for the systematic search of new targets in rare diseases.
An improved catalogue of putative synaptic genes defined by their temporal transcription profiles through an ensemble machine learning approach
Authors: Pazos Flavio , Soto Pablo , Palazzo Martín , Guerberoff Gustavo , Yankilevich Patricio , Cantera Rafael 
Published: May 2019

Abstract
Background.
Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having synaptic function to every protein-coding gene in Drosophila melanogaster. This approach resulted in the publication of a catalogue of 893 genes that was postulated to be very enriched in genes with still undocumented synaptic functions. Since then, the scientific community has experimentally identified 79 new synaptic genes. Here we used these new empirical data to evaluate the predictive power of the catalogue. Then we implemented a series of improvements to the training scheme and the ensemble rules of our model and added the new synaptic genes to the training set, to obtain a new, enhanced catalogue of putative synaptic genes.

Results.
The retrospective analysis demonstrated that our original catalogue was indeed highly enriched in genes with unknown synaptic function. The changes to the training scheme and the ensemble rules resulted in a catalogue with better predictive power. Finally, training this improved model with an updated training set, that includes all the new synaptic genes, we obtained a new, enhanced catalogue of putative synaptic genes, which we present here announcing a regularly updated version that will be available online at: http://synapticgenes.bnd.edu.uy

Conclusions.
We show that training a machine learning model solely with the whole-body temporal transcription profiles of known synaptic genes resulted in a catalogue with a significant enrichment in undiscovered synaptic genes. Using new empirical data, we validated our original approach, improved our model an obtained a better catalogue. The utility of this approach is that it reduces the number of genes to be tested through hypothesis-driven experimentation.
The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example
Authors: Mulyukova K. V. , Kureichik V. M. 
Published: May 2019

The purpose of the work is to study the current problems and prospects of the solution for processing big data received or stored in the Internet (web data), as well as the possibility of practical realization of Data Mining technology for big web data on practical example. Materials and methods. The study included a review of bibliographic sources on big data analysis problems.Data Mining technology was used to analyze large web data, as well as computer modeling of a practical problem using the C # programming language and creating a DDL database structure for accumulating web data.Results. In the course of the work, the specifics of big data were described, the main characteristics of big data were highlighted, and modern approaches to processing big data were analyzed. A brief description of the horizontal-scalable architecture and the BI-solution architecture for big data processing is given. The problems of processing large web data are formulated: limiting the speed of access to data, providing access via network protocols through general-purpose networks.An example showing the approach to processing large web data was also implemented. Based on the idea of big data, the described complexities of web data processing and the methods of Data Mining, techniques were proposed for effectively solving the practical problem of processing and searching patterns in a large data array.The following classes have been developed in the C # programming language:Class of receiving web data via the Internet; Data conversion class;Intelligent data processing class;Created DDL script that creates a structure for the accumulation of web data.A single UML class diagram has been developed.The constructed system of data and classes allows to solve the main part of the problems of processing large web data and perform intelligent processing using Data Mining technology in order to solve the problem posed of identifying certain records in a large array. The combination of object-oriented approach, neural networks and BI-analysis to filter data will speed up the process of data processing and obtaining the result of the studyConclusion. According to the results of the study, it can be argued that the current state of technology for analyzing large web data allows you to efficiently process data objects, identify patterns, get hidden data and get full-fledged statistical data.The obtained results can be used both for the purpose of the initial study of big data processing technologies, and as a basis for developing an already real application for analyzing web data. The use of neural networks and the created universal classes-handlers makes the created architecture flexible and self-learning, and the class declarations and the base DDL structure will greatly simplify the development of program code.
Analysis of student’s final qualification theses using text loans detection systems
Authors: Petrusevich D. A. , Shakhardin K. D. 
Published: May 2019

In this paper there are results of the bachelor and master theses citing analysis. These students graduated from the Higher mathematics chair of the Russian Technological University in the summer of 2018. In this comparative analysis the dependencies of thesis loan percent on parameters of students, statistical values of their theses are explored. This research is actual because of the progress and development of new informational technologies used in the educational system. Popularity of the text loan detection systems increases. Automatic plagiarism detection systems are intended to make educational process better, the text drawing search easier, to support the copyright laws and academical honesty. The percentage is given by two main Russian plagiarism detection systems: Antiplagiat and Rucontext. Connections between thesis parameters are explored. Advantages of each text loan detection systems are described. In this research there are the results of the pedagogical experiment aimed to analyze statistically the dependencies of the bachelor’s and master’s theses loan percentage which have been got from Antiplagiat and Rucontext systems on the author’s parameters, statistical values describing thesis text. The comparison between statistical results of these systems have been made. The conclusions about their advantages have been presented in the paper. In order to make the comparison methods of the mathematical statistics have been used. Numerical experiment has been provided by means of the packages of the R statistical language. The difference between text loan percentages in the Antiplagiat and Rucontext systems has been analyzed. It has been shown that it grows when length of the text becomes larger. The dependencies of the text loan percentage on the available parameters of the thesis author and text parameters have been presented. The dependencies types are the same for the both systems. Scale of the coefficients in the statistical dependencies is also the same. The difference is in the very set of the parameters: the Rucontext percentage is better described statistically with the sex of the author, the Antiplagiat percentage is described with the type of the higher education (bachelor’s or master’s thesis). Also the dependency of the text loan percentage on the length of the thesis text differs: the Antiplagiat percentage is better described statistically with the number of words but the Rucontext percentage is described with the number of characters. It seems that these differences can be explained with different text search and analyze algorithms. The dependencies between the Rucontext percentage and the Antiplagiat text loan percentage is presented.