bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of the surface structuring type on heat transfer in falling films of the refrigerant mixture
Authors: Volodin O A , Pecherkin N I , Pavlenko A N , Zubkov N N 
Published: November 2019

Abstract
The paper considers the influence of enhanced surfaces on heat transfer during evaporation and boiling of a falling laminar-wave liquid film. A mixture of R114/R21 refrigerants was used as a test fluid. The liquid film flowed on the outer surface of vertically-oriented cylinders. To intensify the evaporation process, the authors used the mesh coatings with variable mesh sizes, whereas the surfaces with variable characteristics of microstructure obtained by deformational cutting were used to enhance boiling. The report makes a conclusion about the studied types of structured surfaces, most effective for enhancement of heat transfer in different regimes. It is shown that the mesh coatings intensify heat transfer at evaporation twice as compared to a smooth surface; the microstructured coatings with partly-closed micropores obtained by deformational cutting allow fourfold heat transfer intensification at boiling.
Use of computational realistic models for the cardiac ejection fraction calculation
Authors: Huérfano Y , Vera M , Vera M I , Valbuena O , Gelvez-Almeida E , Salazar-Torres J 
Published: November 2019

Abstract
Ejection fraction is one of the most useful clinical descriptors to determine the cardiac function of a subject. For this reason, obtaining the value of this descriptor is of vital importance and requires high precision. However, in the clinical routine, to generate the mentioned descriptor value, a geometric hypothesis is assumed, obtaining an approximate value for this fraction, usually by excess, and which is a dependent-operator. The aim of the present work is to propose the accurate calculation of the ejection fraction from realistic models, obtained computationally, of the cardiac chamber called right ventricle. Normally, the geometric hypothesis that makes this ventricle coincide with a pyramidal type geometric shape, is not usually, fulfilled in subjects affected by several cardiac pathologies, so as an alternative to this problem, the computational segmentation process is used to generate the morphology of the right ventricle and from it proceeds to obtain, accurately, the ejection fraction value. In this sense, an automatic strategy based on no-lineal filters, smart operator and region growing technique is propose in order to generate the right ventricle ejection fraction. The results are promising due we obtained an excellent correspondence between the manual segmentation and the automatic one generated by the realistic models.
Mathematics, resilience and development of thinking of youth
Authors: Santiago Carrillo M C , Vergel Ortega M , Rojas Suarez J P 
Published: November 2019

Abstract
The main objective of the research was to evaluate the relationship between academic performance in mathematics and the school success. The research follows a quantitative approach with factorial design, type descriptive-comparative and micro sociological in its sample coverage. The results obtained reflect that there is a significant relationship between emotional resilience skills, the level of application, abstraction and academic performance. It is concluded that successful students demonstrate an improvement in their creative thinking and mathematical thinking, and their resilience level improved.
Level of development of mathematical logical thinking in the students of the agricultural areas of the Universidad Francisco de Paula Santander, Ocaña, Colombia
Authors: Garcia Quintero C L , Durán Chinchilla C M 
Published: November 2019

AbstractThe Francisco de Paula Santander branch school in Ocaña, Colombia; especially the zootechnics program, concerned about the low performance of students in the mathematics or related areas. (Especially in the new students), decide to carry out a study that allows determining what is the level of development of logical thinking in the students of the agricultural areas. For it, a mixed research with the focus of exploratory research was implemented. A workshop was applied and designed based on the principles of Feuerstein, which led to the development of different mental and cognitive operations; these workshops allowed to determine elements such as identification, evocation, comparison, analysis, synthesis, classification, deduction, induction, and divergent and inferential reasoning; there are also some basic mathematical operations such as fractions, decimals, mixed numbers, and conversion. In this case, more than 50 students from third semester in zoology classes took the workshop. The results gave a diagnosis, the evidence that the students have not developed the capacity for abstraction, inference, or the application of algorithms. The idea is that the results will design pedagogical strategies that will help improve the academic performance of students in the area of mathematics.
Review of techniques, tools, algorithms and attributes for data mining used in student desertion
Authors: Diaz Pedroza K Y , Chindoy Chasoy B Y , Rosado Gómez A A 
Published: November 2019

Abstract
This article makes a review of the application of data mining in the academic desertion of the students; with the aim of finding common elements used by different authors about desertion. The search of the articles was carried out in digital libraries, indexed journals, institutional repositories among others. The selection criteria were based on the depth of the techniques, algorithms, tools and attributes used in the publication. Among the results we have that most of the researches are related are supervised learning, we have the classification as the most applied technique and we use the algorithm j48 and the variable or class to predict as the academic state.
Multiobjective optimization of smart grids considering market power
Authors: Garcia-Guarin J , Rivera S , Trigos L 
Published: November 2019

Abstract
Smart grids gain acceptance for promoting the efficient use of energy resources, based on market prices. These include energy storage systems and electric vehicles; in terms of operation they are complex for controlling the loading / unloading of energy or the buy / sell of it. These networks also encourage demand response programs, that is, according to the price, the users decide how much energy they consume. In addition to promoting the use of renewable energy. This research presents two contributions: 1) The implementation of market power indicators to a mathematical model of smart microgrid and 2) The implementation of a new multiobjective hybrid algorithm called “variable neighborhood search: the differential evolutionary particle swarm”. The results are close to the Pareto front with a uniform distribution. Then, the smart microgrid is evaluated with two restrictions: the Herfindahl-Hirschman index and the three biggest bidders’ index, the first contribution allows no bidder to exercise market power during the 24 hours, which guarantees a competitive electricity market. The second contribution consists in converting this single objective algorithm to a multiobjective version. The performance of the new multiobjective algorithm is verified with the test problems showing good performance.
Conceptual framework for smart university
Authors: Rico-Bautista D W 
Published: November 2019

Abstract
Determine the potential value of the technology that an organization has, for example, the university, is an issue that is not easy to answer. The only way to look to the future, since there is no data, is to have a very good theory or model. The application of maturity models creates useful benefits. Its application covers a diversity of problem areas related to the development, use and impact of information technology. The human-computer interaction is part of a process of creating technology. Generating a model of intelligent maturity can be seen as an evolutionary approach for a traditional university to progress to several levels of maturity of a smart university.
Numerical simulation of the combustion stability of natural gas and syngas in a surface-stabilized combustion burner
Authors: Arrieta C E , García A , Cardona A , Bedoya I , Amell A 
Published: November 2019

Abstract
Surface-stabilized combustion burners is a promising combustion technique that has been studied for more than a decade. However, in the design stage of these burners is hard to determine if under certain operating conditions the burner would operate adequately. In this paper, we performed a numerical approach to predict the flame stability in a surface-stabilized combustion burner. Here we considered a numerical approach that includes simultaneous solution of mass and energy balance for both, the gas and solid phase, as well as a proper estimation of thermo-chemical and thermo-physical properties. The numerical model was validated against experimental data reported in previous studies. These data involve results with natural gas and the blending of natural gas with three high hydrogen content synthetic gases in equimolar proportions. We evaluated three synthetic gases with high hydrogen contents ranging from 60% H2 to 75% H2. The data also involve thermal power from 300 to 500 kW/m2. The results indicate that the numerical approach described in this work predicts very well the flame stability and temperature profile within the porous media. Therefore, it can be used to study surface-stabilized combustion burners.
Surface morphology and optical properties of InGaN quantum dots with varying growth interruption time
Authors: Li Yangfeng , Jin Zijing , Han Yu , Zhao Chunyu , Huang Jie , Tang Chak Wah , Wang Jiannong , Lau Kei May 
Published: November 2019

Abstract
The effect of different growth interruption time on the surface morphology and optical properties of InGaN quantum dots (QDs) grown on 2-inch silicon substrates is investigated. The surface becomes rougher and the photoluminescence intensity has been enhanced significantly when employing the growth interruption method. Temperature-dependent photoluminescence and excitation power-dependent photoluminescence both present unchanged peak energy and line-width of QDs. The sharp increase of PL intensity in medium temperature regime is attributed to the fingerprint of the existence of InGaN QDs. The shape of the QDs are further confirmed by the transmission electron microscopy with a size of 3 nm by 4 nm. Among the samples, a growth interruption time of 30 s gives the best optical performance.
A facile one-pot synthesis of poly(acrylic acid)-functionalized magnetic iron oxide nanoparticles for suppressing reactive oxygen species generation and adsorption of biocatalyst
Authors: Nahar Yeasmin , Rahman Md Abdur , Hossain Md Kawsar , Sharafat Mostafa Kaiyum , Karim Md Rabiul , Elaissari Abdelhamid , Ochiai Bungo , Ahmad Hasan , Rahman Md Mahbubor 
Published: November 2019

Abstract
Functionalized iron oxide nanoparticles (IONPs) have unique physical and chemical properties, which make them potential candidates for biomedical applications. In this study, a facile one-pot method is reported for the preparation of poly(acrylic acid) (PAA) functionalized IONPsthrough in situ free radical solution polymerization of AA and subsequent coprecipitation of Fe3+ and Fe2+ ions. The FTIR spectroscopic and TGA results indicated the successful formation and surface functionalization of IONPs with PAA. Electron micrographs showed that the prepared particles were of nano-sized and their shape is dependent on the concentration of PAA. pH-dependent variation of average hydrodynamic diameter confirmed the pH-responsivity of PAA-functionalized IONPs. Magnetic measurement suggested that the PAA functionalized IONPs were strongly paramagnetic (53.0 emug−1). Fenton-like catalytic generation is carried out to measure toxicity associated with the nanoparticles. The suppression ability for reactive oxygen species (ROS) generation associated with PAA-functionalized IONPs was studied via methylene blue degradation assay to address their toxicity profile. PAA-functionalized IONPs exhibited better suppression ability than that of the bare IONPs. The adsorption behavior of trypsin was also studied at different pH levels and a maximum adsorption is occurred on PAA-functionalized IONPs at pH 5.0. Catalytic behavior study confirmed higher activity of trypsin immobilized on PAA-functionalized IONPs than that of the reference IONPs. Therefore, the functionalized IONPs can be of high interest for magnetically recyclable biocatalyst carrier.
One-step electrodeposition to fabricate superhydrophobic coating and its reversible wettability transformation
Authors: Chen Dexin , Kang Zhixin , Li Wei 
Published: November 2019

Abstract
A one-step electrodeposition method was utilized to fabricate coatings with switchable wettability on stainless steel meshes to extend the application of materials in the intelligent material industry. This method did not involve low surface energy materials and had advantages of simple and good repeatable. Through changing pH value, deposition temperature and voltage, the relationship between morphology and wettability of the as-prepared coatings were studied. The SEM results show numbers of particles on the coatings under the optimum condition and some of them aggregated into micro-pine hierarchical structures. The coatings achieved superhydrophobicity with a contact angle of 155.5°. After being placed at 450 °C for 3 h, the superhydrophobic film turned into superhydrophilic. The film regained superhydrophobicity after hydrothermal treatment in glucose aqueous solution, which exhibited a reversible transition between superhydrophobicity and superhydrophilicity. In addition, the superhydrophilic coatings could be used to separate light oil, such as diesel, gasoline, toluene, benzene and lubricants, excellent oil-water separation ability of 95%.
Possible lattice and charge order in CuxBi2Te2Se
Authors: Li Yanan , Smith Nathaniel P , Rexhausen William , Schofield Marvin A , Guptasarma Prasenjit 
Published: November 2019

Abstract
Metal intercalation into layered topological insulator materials such as the binary chalcogenide Bi2X3 (X = Te or Se) has yielded novel two-dimensional (2D) electron-gas physics, phase transitions to superconductivity, as well as interesting magnetic ground states. Of recent interest is the intercalation-driven interplay between lattice distortions, density wave ordering, and the emergence of new phenomena in the vicinity of instabilities induced by intercalation. Here, we examine the effects of Cu-intercalation on the ternary chalcogenide Bi2Te2Se. We report the discovery, in Cu0.3Bi2Te2Se, of a periodic lattice distortion (PLD) at room temperature, together with a charge density wave (CDW) transition around T
d = 220 K. We also report, for the first time, a complete study of the Cu
x
Bi2Te2Se system, and the effect of Cu-intercalation on crystal structure, phonon structure, and electronic properties for 0.0 ≤ x ≤ 0.5. Our electron diffraction studies reveal strong Bragg spots at reciprocal lattice positions forbidden by ABC stacking, possibly resulting from stacking faults, or a superlattice. The c-axis lattice parameter varies monotonically with x for 0 < x < 0.2, but drops precipitously for higher x. Similarly, Raman phonon modes

A

1
g

2

and

E

g

2

soften monotonically for 0 < x < 0.2 but harden sharply for x > 0.2. This indicates that Cu likely intercalates up to x ∼ 0.2, followed by partial site-substitutions at higher values. The resulting strain makes the 0.2 ≤ x ≤ 0.3 region susceptible to instabilities and distortions. Our results point toward the presence of an incommensurate CDW above T
d = 220 K. This work strengthens prevalent thought that intercalation contributes significantly to instabilities in the lattice and charge degrees of freedom in layered chalcogenides. Further work is required to uncover additional density wave transitions, and possible ground states such as superconductivity.
Wired and wireless seamless networks by photonics
Authors: Kawanishi Tetsuya , Kanno Atsushi , Tien Dat Pham , Umezawa Toshimasa , Yamamoto Naokatsu 
Published: November 2019

Abstract
Demand for wireless services is increasing rapidly, due to deep penetration of mobile terminals, such as smartphones. Radio spectrum congestion is an important issue, even for conventional mobile services. One of the possible solutions would be to use wired and wireless seamless networks consisting of radio and optical links, where huge data traffic can be offloaded from radio-waves in the air to optical signals over fibres. This paper provides seamless network configurations which can be applied to 90-GHz high-speed wireless links and high-resolution radars. We focus on applications for public transportation systems including airport runways, railways, etc.
Females Are First Authors, Sole Authors, and Reviewers of Entomology Publications Significantly Less Often Than Males
Authors: Walker Karen A 
Published: November 2019

Abstract
Female authors and reviewers are significantly underrepresented in entomology journals, consistent with many other STEM journals. During the years 2001 through 2017, women published significantly fewer first-author and single-author articles in five ESA journals and the Annual Review of Entomology. Female reviewers are also significantly outnumbered by male reviewers in ESA journals. Results show that in general, female first author and reviewer proportions are rising over time but progress is slow, about 1% yearly for both authors and reviewers. There are a greater number of female authors than female reviewers, but proportions are significantly related to each other, suggesting that female authors and reviewers reinforce the presence of each other. Potential contributing factors for these results include peer review, funding levels for research, time available for research, and women’s self-confidence and collaboration with other scientists.
Three-dimensional ultrastructural change of chloroplasts in rice mesophyll cells responding to salt stress
Authors: Oi Takao , Enomoto Sakiko , Nakao Tomoyo , Arai Shigeo , Yamane Koji , Taniguchi Mitsutaka 
Published: November 2019

AbstractBackground and AimsExcess salinity inhibits the metabolism of various systems and induces structural changes, especially in chloroplasts. Although the chloroplast body seems to swell under salinity stress as observed by conventional transmission electron microscopy, previous studies are limited to 2-D data and lack quantitative comparisons because specimens need to be sliced into ultrathin sections. This study shows three-dimensionally the structural changes in a whole mesophyll cell responding to salinity stress by serial sectioning with a focused ion beam scanning electron microscope (FIB-SEM) and compares the differences in chloroplast structures based on reconstructed models possessing accurate numerical voxel values.MethodsLeaf blades of rice plants treated with 100 mm NaCl or without (control) for 4 d were fixed chemically and embedded in resin. The specimen blocks were sectioned and observed using the FIB-SEM, and then the sliced image stacks were reconstructed into 3-D models by image processing software.Key ResultsOn the transverse sections of rice mesophyll cells, the chloroplasts in the control leaves appeared to be elongated meniscus lens shaped, while those in the salt-treated leaves appear to be expanded oval shaped. The 3-D models based on serial sectioning images showed that the chloroplasts in the control cells spread like sheets fitted to the shape of the cell wall and in close contact with the adjacent chloroplasts. In contrast, those in the salt-stressed cells curled up into a ball and fitted to cell protuberances without being in close contact with adjacent chloroplasts. Although the shapes of chloroplasts were clearly different between the two treatments, their volumes did not differ.ConclusionsThe 3-D reconstructed models of whole rice mesophyll cells indicated that chloroplasts under salt stress conditions were not swollen but became spherical without increasing their volume. This is in contrast to findings of previous studies based on 2-D images.
Defense against outside competition is linked to cooperation in male–male partnerships
Authors: Hellmann Jennifer K , Stiver Kelly A , Marsh-Rollo Susan , Alonzo Suzanne H 
Published: November 2019

Abstract
Male–male competition is a well-known driver of reproductive success and sexually selected traits in many species. However, in some species, males work together to court females or defend territories against male competitors. Dominant (nesting) males sire most offspring, but subordinate (satellite) males are better able to obtain fertilizations relative to unpartnered males. Because satellites only gain reproductive success by sneaking, there has been much interest in identifying the mechanisms enforcing satellite cooperation (defense) and reducing satellite sneaking. One such potential mechanism is outside competition: unpartnered satellites can destabilize established male partnerships and may force partnered satellites to restrain from cheating to prevent the dominant male from replacing them with an unpartnered satellite. Here, we manipulated perceived competition in the Mediterranean fish Symphodus ocellatus by presenting an “intruding” satellite male to established nesting and satellite male pairs. Focal satellite aggression to the intruder was higher when focal satellites were less cooperative, suggesting that satellites increase aggression to outside competitors when their social position is less stable. In contrast, nesting male aggression to the intruder satellite increased as spawning activity increased, suggesting that nesting males increase their defense toward outside competitors when their current relationship is productive. We found no evidence of altered spawning activity or nesting/satellite male interactions before and after the presentation. These results collectively suggest that response to outside competition is directly linked to behavioral dynamics between unrelated male partners and may be linked to conflict and cooperation in ways that are similar to group-living species.
CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods
Authors: Su Shian , Tian Luyi , Dong Xueyi , Hickey Peter F , Freytag Saskia , Ritchie Matthew E 
Published: November 2019

Abstract

Motivation
Bioinformatic analysis of single-cell gene expression data is a rapidly evolving field. Hundreds of bespoke methods have been developed in the past few years to deal with various aspects of single-cell analysis and consensus on the most appropriate methods to use under different settings is still emerging. Benchmarking the many methods is therefore of critical importance and since analysis of single-cell data usually involves multi-step pipelines, effective evaluation of pipelines involving different combinations of methods is required. Current benchmarks of single-cell methods are mostly implemented with ad-hoc code that is often difficult to reproduce or extend, and exhaustive manual coding of many combinations is infeasible in most instances. Therefore, new software is needed to manage pipeline benchmarking.

Results
The CellBench R software facilitates method comparisons in either a task-centric or combinatorial way to allow pipelines of methods to be evaluated in an effective manner. CellBench automatically runs combinations of methods, provides facilities for measuring running time and delivers output in tabular form which is highly compatible with tidyverse R packages for summary and visualization. Our software has enabled comprehensive benchmarking of single-cell RNA-seq normalization, imputation, clustering, trajectory analysis and data integration methods using various performance metrics obtained from data with available ground truth. CellBench is also amenable to benchmarking other bioinformatics analysis tasks.

Availability and implementation
Available from https://bioconductor.org/packages/CellBench.