bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on Chinese register characteristics based on regression analysis and text clustering
Authors: Hou Renkui , Huang Chu-Ren , Liu Hongchao 
Published: April 2017

Abstract
This paper reports an innovative Chinese register study based on regression analysis for sentence length distribution and text clustering. Although end of sentence is not conventionally marked in Chinese, we resolve this issue by assuming that segments between periods, question marks, and exclamation marks are sentences, which can be further divided into simple sentences and compound sentences. We also assume that segments between punctuation marks that express pauses in utterances form sentences (i.e., clauses). Using regression analysis, we find that the frequency distribution of sentence and clause lengths in Chinese can be fitted by the formula F = aLbcL, where L is sentence/clause length. Texts from different registers give rise to different fitted values of the parameters, and hence can serve to differentiate these registers. Finally, we use these parameters to represent and cluster texts from different registers. The successful text clustering results further prove that the parameters of the fitted results are reliable linguistic characteristics for different registers. In terms of linguistic theories, our study shows that it is just as effective to model sentence length in Chinese using sociological words (i.e., characters) as it is using linguistic words.
The role of thromboxane A2 in complement activation-related pseudoallergy
Authors: Fülöp Tamás Gyula , Metselaar Josbert M. , Storm Gert , Szebeni János 
Published: April 2017

AbstractComplement activation-related pseudoallergy (CARPA) is a hypersensitivity reaction occurring upon intravenous administration of numerous liposomal therapeutics, other nonbiological complex drugs and biologicals. It has a complex molecular and cellular mechanism that involves the production, actions and interactions of numerous vasoactive mediators in blood, including thromboxane A
Biomimetic nanostructures for the silicone-biosystem interface: tuning oxygen-plasma treatments of polydimethylsiloxane
Authors: Osmani Bekim , Gerganova Gabriela , Müller Bert 
Published: April 2017

AbstractPolydimethylsiloxanes (PDMS) have drawn attention because of their applicability in medical implants, soft robotics and microfluidic devices. This article examines the formation of dedicated nanostructures on liquid submicrometer PDMS films when exposed to oxygen-plasma treatment. We show that by using a vinyl-terminated PDMS prepolymer with a molecular weight of 800 g/mol, one can bypass the need of solvent, copolymer, or catalyst to fabricate wrinkled films. The amplitude and periodicity of the wrinkles is tuned varying the thickness of the PDMS film between 150 and 600 nm. The duration of the plasma treatment and the oxygen pressure determine the surface morphology. The amplitude was found between 30 and 300 nm with periodicities ranging from 500 to 2800 nm. Atomic force microscopy was used to measure film thickness, amplitude and wrinkle periodicity. The hydrophobic recovery of the nanostructured PDMS surface, as assessed by dynamic contact angle measurements, scales with nanostructure’s fineness, associated with an improved biocompatibility. The mechanical properties were extracted out of 10,000 nanoindentations on 50×50-μm
Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate
Authors: Minh Vu Trieu , Katushin Dmitri , Antonov Maksim , Veinthal Renno 
Published: April 2017

AbstractThis paper presents statistical analyses of rock engineering properties and the measured penetration rate of tunnel boring machine (TBM) based on the data of an actual project. The aim of this study is to analyze the influence of rock engineering properties including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), rock brittleness index (BI), the distance between planes of weakness (DPW), and the alpha angle (Alpha) between the tunnel axis and the planes of weakness on the TBM rate of penetration (ROP). Four (4) statistical regression models (two linear and two nonlinear) are built to predict the ROP of TBM. Finally a fuzzy logic model is developed as an alternative method and compared to the four statistical regression models. Results show that the fuzzy logic model provides better estimations and can be applied to predict the TBM performance. The R-squared value (R2) of the fuzzy logic model scores the highest value of 0.714 over the second runner-up of 0.667 from the multiple variables nonlinear regression model.
Compact Diplexer with High Isolation and Wide Stopband Based on SIRs
Authors: Zhou Bo , Wang Xin-Yi , Wei Feng , Chen Lei 
Published: April 2017

Abstract
A compact microstrip diplexer with a high isolation and improved out-of-band performance is proposed in this paper. The proposed diplexer is based on cascaded-quadruplet (CQ) bandpass filters (BPFs), which is composed of λ/4 stepped-impedance resonators (SIRs). By employing the edge and quasi-lumped coupling topology, a compact diplexer with improved passband selectivity can be achieved. Meanwhile, by appropriately adjusting the impedance and electric length ratios of SIRs, the stopband can be extended to 20 GHz with a rejection level of 10 dB, which is 12.7 times of the fundamental frequency. The predicted results on S parameters are compared with the measured ones and good agreement is achieved.
Parameters controlling the advanced oxidation degradation kinetics of nitroglycerin and pentaerythritol tetranitrate
Authors: Khue Do Ngoc , Lam Tran Dai , Hung Dao Duy , Bach Vu Quang , Anh Nguyen Van , Nam Nguyen Hoai , Thai Nguyen Viet , Minh Do Binh 
Published: April 2017

AbstractSeveral advanced oxidation processes have been performed for the decomposition of ester nitrates (ENs), such as nitroglycerine (NG) and pentaerythritol tetranitrate (PETN). The reaction kinetics for removing NG and PETN by some of the advanced oxidation processes (e.g. UV-H2O2, Fenton, UV-Fenton) followed the pseudo-first-order model. The reaction rates in different systems followed the sequence ENs/UV<ENs/H2O2<ENs/UV-H2O2<ENs/Fenton<ENs/UV-Fenton. The effect of various parameters, such as pH, concentration of hydrogen peroxide, and temperature, on the degradation of NG and PETN were studied.
Uniform-Design-Based Optimization for Fuel Reactor of Chemical Looping Combustion
Authors: Liu Yaming , Liu Shi , Feng Yongxin , Xu Kai , Zhao Haibo 
Published: April 2017

Abstract
The thermo-chemical performance of fuel reactor (FR) for chemical looping combustion (CLC) changes with operating parameters. It is essential to optimize these operating variables to achieve the best reactor performance. Based on well-verified computational fluid dynamics (CFD) simulation, uniform design method is employed to study the influence of totally n operating variables each with m levels. With respect to the FR experiments by Son and Kim (2006)(in which fuel is pure methane, and oxygen carrier is the mixture of NiO and Fe2O3 supported by bentonite), the uniform design method has been adopted to optimize the yield of CH4 to CO2. Optimum operating condition (NiO percentage in the activated oxygen carrier of 100 %, reaction temperature of 1123 K, particle diameter of 100 μm, inlet gas velocity of 0.0125 m/s, and solid inventory in FR of 0.51 kg) is obtained, and the dependence of CO2 yield on five operating variables is approximated by the second-order polynomial model based on the uniform design method. The most critical parameter is identified as reaction temperature.
Experimental and Modeling Study of Esterification Reaction for Synthesis of Butyl Butyrate: Desirability Function Approach for Optimization and Prediction Comparative Study of RSM and ANN
Authors: Khudsange Chandrakant R. , Wasewar Kailas L. 
Published: April 2017

AbstractButyl butyrate was synthesized by esterification of butyric acid with n-butanol using homogeneous catalyst methanesulfonic acid (MSA). The esterification process was optimized by the application of response surface methodology (RSM) and artificial neural network (ANN). 3 level-4 variables central composite design (CCD) of RSM and MLP 4-9-1 network of ANN was chosen for the experimental design and analysis. The quadratic response model of RSM was optimized using desirability function approach. Effects of independent variables on the yield of butyl butyrate were investigated. Various training algorithm such as IBP, QP, GA, LM, BFGS, and CG was used for training experimental response data for the ANN study. By sensitivity analysis, the relative significance of 36.98 % confirmed that the molar ratio was the main affecting parameter on the yield of butyl butyrate. In prediction comparative study, ANN model was found better than the RSM model with high values ofR2(0.9998) and lower values of RMSE (0.2435), SEP (0.324 %), and AAD (0.0086 %) compared to RSM (R2=0.9862, RMSE=2.3095, SEP=3.076 %, AAD=0.6459 %). The accuracy of the RSM and ANN models were judged by validation test by performing unseen data experiments.
Multi-Objective Optimal Power Flow Using Efficient Evolutionary Algorithm
Authors: Reddy S. Surender , Bijwe P.R 
Published: April 2017

Abstract
A novel efficient multi-objective optimization (MOO) technique for solving the optimal power flow (OPF) problem has been proposed in this paper. In this efficient approach uses the concept of incremental power flow model based on sensitivities and some heuristics. The proposed approach is designed to overcome the main drawback of conventional MOO approach, i. e., the excess computational time. In the present paper, three objective functions i. e., generation cost, system losses and voltage stability index are considered. In the proposed efficient MOO approach, the first half of the specified number of Pareto optimal solutions are obtained by optimizing the fuel cost objective while considering other objective (i. e., system loss or voltage stability index) as constraint while the second half is obtained in a vice versa manner. After obtaining the total Pareto optimal solutions, they are sorted in the ascending order of fuel cost objective function value obtained for each solution leads to the Pareto optimal front. The proposed efficient approach is implemented using the differential evolution (DE) algorithm. The proposed efficient MOO approach can effectively handle the complex non-linearities, discrete variables, discontinuities and multiple objectives. The effectiveness of the proposed approach is tested on standard IEEE 30 bus test system. The simulation studies show that the Pareto optimal solutions obtained with proposed efficient MOO approach are diverse and well distributed over the entire Pareto optimal front. The simulation results indicate that the execution speed of proposed efficient MOO approach is approximately 10 times faster than the conventional evolutionary based MOO approaches.
Hot-Melt Fluidized Bed Encapsulation of Citric Acid with Lipid
Authors: Xu Qing , Li Miaomiao , Zhang Jing , Li Zhanyong 
Published: April 2017

Abstract
Acidulant encapsulation is used to prevent the unwanted acid hydrolysis of other ingredients in food industry. It is preferred to efficiently solidify the molten coatings on acidulant particles. In this article, a molten lipid was atomized in a fluidized bed of cold citric acid powder for the production of encapsulated acidulant. The effect of lipid-to-citric acid mass ratio and atomization pressure on the size distribution of encapsulated particles was investigated. The median particle size (D
50) increases with lipid content, and fine particles were reduced with lipid encapsulation. The surface morphology of lipid-encapsulated citric acid particles was studied by scanning electron micrograph to gain insight into the possible encapsulation mechanism. The encapsulation efficiency increases with the lipid-to-citric acid mass ratio.
The Impact of Heat-Moisture Treatment on Physicochemical Properties and Retrogradation Behavior of Sweet Potato Starch
Authors: Li Yaoyao , Liu Shaowei , Liu Xue , Tang Xiaozhi , Zhang Jian 
Published: April 2017

Abstract
Starch isolated from sweet potato was subjected to different levels of HMT at 15, 20, 25, 30, and 35 %. HMT showed negligible effect on the swelling power of starch. The swelling power was decreased with the increasing of the initial moisture content of the starch. The apparent amylose contents of HMT starches decreased from 24.11 % to 20.56 % with the initial moisture content increasing from 15 % to 35 %. The pasting temperatures enhanced from 73.1 to 81°C (p < 0.05) with the rapidly digestible starch (RDS) contents decreasing from 86.97 to 70.24 % (p < 0.05). Avrami equation analysis showed that HMT reduced the rate of starch retrogradation. The Avrami exponents of native and HMT-35 starches were 0.70 and 0.98 with the recrystallization rates 0.22 and 0.10, respectively. HMT could restrain the starch retrogradation and these results could provide theoretical guidance on sweet potato starch modification.
An Integrative Review on Standardized Exams as a Predictive Admission Criterion for RN Programs
Authors: Twidwell Julie E. , Records Kathie 
Published: April 2017

AbstractNursing programs reject qualified applicants due to limited clinical placements and faculty. By admitting the strongest candidates, schools of nursing will reduce attrition rates, increase NCLEX-RN pass rates, and speed the entry into practice of well-prepared nurses to help stem the nursing shortage. This integrative review identified the standardized admission exams most predictive of student success. Included were articles published between 2005 and 2016 that focused on admission criteria, RN programs, specific exams (e. g., HESI-A2, TEAS, SAT, CAAP, or ACT), NCLEX-RN performance, or program success. Standardized exams are effective predictors of success in programs of nursing and first-attempt NCLEX-RN. While predictive accuracy differs between exams, findings suggest that the HESI-A2 is currently the best predictor of success. By optimizing the use of standardized exams as admission criteria, nursing programs can reduce attrition rates and improve NCLEX-RN pass rates. This will maximize program capacity and contribute to a greater number of practicing nurses.
Using amino-functionalized Fe3O4-WO3 nanoparticles for diazinon removal from synthetic and real water samples in presence of UV irradiation
Authors: Mohagheghian Azita , Ayagh Kobra , Godini Kazem , Shirzad-Siboni Mehdi 
Published: April 2017

AbstractIn this research, photocatalytic degradation of diazinon by amino-functionalized Fe
Reduction of a Schwartz-type boundary value problem for biharmonic monogenic functions to Fredholm integral equations
Authors: Gryshchuk Serhii V. , Plaksa Sergiy A. 
Published: April 2017

Abstract
We consider a commutative algebra 𝔹 over the field of complex numbers with a basis {e1, e2} satisfying the conditions

$ (e_{1}^{2}+e_{2}^{2})^{2}=0, e_{1}^{2}+e_{2}^{2}\neq 0. $ Let D be a bounded simply-connected domain in ℝ2. We consider (1-4)-problem for monogenic 𝔹-valued functions Φ(xe1 + ye2) = U1(x, y)e1 + U2(x, y)i e1 + U3(x, y)e2 + U4(x, y)i e2 having the classic derivative in the domain Dζ = {xe1 + ye2 : (x, y) ∈ D}: to find a monogenic in Dζ function Φ, which is continuously extended to the boundary ∂Dζ, when values of two component-functions U1, U4 are given on the boundary ∂D. Using a hypercomplex analog of the Cauchy type integral, we reduce the (1-4)-problem to a system of integral equations on the real axes. We establish sufficient conditions under which this system has the Fredholm property and the unique solution. We prove that a displacements-type boundary value problem of 2-D isotropic elasticity theory is reduced to (1-4)-problem with appropriate boundary conditions.
Ritual and property: Theorizing a Chinese case
Authors: Herrmann-Pillath Carsten , Guo Man 
Published: April 2017

AbstractThis paper introduces the concept of ‘ritual’ for analysing the interaction between informal and formal institutions, taking land property rights in South China as an empirical case. By ritual, we refer to public actions that involve artefacts and create common knowledge about behavioural patterns in a population. This theoretical notion of ritual (suggested by Michael Chwe) matches with indigenous Chinese notions (li zhi), both in terms of scholarly work and popular usages. Based on own fieldwork, we investigate into the representative case of an ‘urban village’ in Shenzhen where traditional lineage practices have shaped the institutional and physical transformation of this dynamic metropolis. We claim that the current management of land rights stays in continuity with the ‘ritual economy’ of traditional China.
Crystal structure of 3-(adamantan-1-yl)-4-(4-fluorophenyl)-1H-1,2,4-triazole-5(4H)-thione, C18H20FN3S
Authors: Al-Shehri Mona M. , Elsaman Tilal , Al-Abdullah Ebtehal S. , Ghabbour Hazem A. , El-Emam Ali A. 
Published: April 2017

Abstract
C18H20FN3S, triclinic, P1̅, a = 7.3884(4) Å, b = 10.0741(6) Å, c = 12.6533(8) Å, α = 69.209(2)°, β = 73.778(2)°, γ = 72.638(2)°, V = 824.33(8) Å3, Z = 2, Rgt(F) = 0.0480, wRref(F2) = 0.1351, T = 296(2) K.
Crystal structure of trans-bis((E)-7-oxo-4-(phenyldiazenyl)cyclohepta-1,3,5-trien-1-olato)-κ2
O,O′)-bis(pyridine-κN)cobalt(II), C36H28CoN6O4
Authors: Hill Tania N. , Koen Renier , Roodt Andreas 
Published: April 2017

Abstract
C36H28Co1N6O4, triclinic, P1̄ (no. 2), a = 6.3166(4) Å, b = 8.5454(5) Å, c = 14.8075(9) Å, α = 105.157(2)°, β = 94.494(3)°, γ = 101.890(2)°, V = 747.5(2) Å3, Z = 1, R
gt(F) = 0.0332, wR
ref(F
2) = 0.0790, T = 100(2) K.
Wie kommt es zur Schichtung im Hippocampus?
Authors: Frotscher Michael , Zhao Shanting , Förster Eckart 
Published: April 2017

Zusammenfassung
Die Hippocampusformation ist durch einer klare Schichtung der Zellen und Fasern gekennzeichnet. Im Gyrus dentatus sind dem Körnerzellband Assoziations- und Commissurenfasern (A/C-Fasern) und entorhinale Afferenzen aufgelagert. Dabei besteht eine scharfe Grenze zwischen entorhinalen und A/C-Fasern. Die entorhinalen Fasern in der äußeren Molekularschicht endigen an den distalen Dendriten der Körnerzellen und die A/C-Fasern in der inneren Molekularschicht an proximalen Dendritenabschnitten. Wie wird diese Präzision der Zell- und Faserschichtung kontrolliert?
Wir haben kürzlich gezeigt, dass die A/C-Fasern ihre Schicht über Signalmoleküle an den Dendriten der Körnerzellen finden. Anders die entorhinalen Afferenzen: Hier spielen Moleküle der extrazellulären Matrix wie Hyaluronsäure und assoziierte Moleküle eine entscheidende Rolle. Die Schichtung der Körnerzellsomata wird durch das Glycoprotein Reelin bestimmt. Bei der Reeler-Maus, der Reelin fehlt, ist die Schichtung der Körnerzellsomata aufgehoben. Unsere Befunde deuten darauf hin, dass diese Migrationsstörung aus einer Fehldifferenzierung der Radialglia resultiert, die für neuronale Migration benötigt wird.
Thrombin-verwandte Proteasen als Signalmoleküle im Gehirn: Proteaseaktivierte Rezeptoren bei neuronaler Schädigung und bei Neuroprotektion
Authors: Rohatgi Tanuja , Reiser Georg 
Published: April 2017

Zusammenfassung
Thrombin, eine Serinprotease mit zentraler Bedeutung für die Blutgerinnung, kann Rezeptoren auf der Plasmamembran von Zellen aktivieren. Diese Protease-aktivierten Rezeptoren (PARs) wurden kürzlich auch im Gehirn gefunden. Dort sind diese Rezeptoren insbesondere bei Neuroprotektion oder Schädigung im Zusammenhang mit pathologischen Zuständen von Bedeutung. Man unterscheidet 4 Subtypen, die als PAR-1 bis PAR-4 bezeichneten Rezeptoren, die alle in Mensch, Ratte und Maus exprimiert sind und große Homologie zwischen diesen Spezies aufweisen. PARs besitzen einen einzigartigen Aktivierungsmechanismus, weil sie durch die Spaltung des Rezeptorproteins irreversibel in den aktiven Zustand versetzt werden. Das durch die Proteolyse neu entstandene extrazelluläre N-terminale Ende des Rezeptor-Polypeptids wird als ein vorher verborgenes N-terminales Ende offen gelegt und wirkt nun als an das Protein gekoppelter, aktivierender Peptidligand.
PARs sind in vielen Bereichen im zentralen und im peripheren Nervensystem exprimiert. PARs scheinen bei der Pathologie neurodegenerativer Erkrankungen, wie Alzheimer oder HIV-Encephalitis eine Rolle zu spielen. Thrombin löst im Gehirn über PARs die Proliferation von Astrozyten aus, was für die reaktive Astrogliose von Bedeutung ist. Andererseits wirkt Thrombin janus-ähnlich, da es bei hohen Konzentrationen Nervengewebe schädigt, dagegen in sehr niedrigen Konzentrationen, welche im leicht geschädigten Nervengewebe erreicht werden, eine protektive Rolle hat.
Das Kompetenznetz Parkinson
Authors: Eggert Karla , Baas Horst , Deuschl Günther , Dodel Richard , Franke Sonja , Gasser Thomas , Klockgether Thomas , Reichmann Heinz , Trenkwalder Claudia , Wuellner Ullrich , Oertel Wolfgang H. 
Published: April 2017

Zusammenfassung
Das Kompetenznetz Parkinson (KNP) wurde im September 1999 mit Unterstützung des Bundesministeriums für Bildung und Forschung etabliert und befindet sich seit November 2004 in der dritten Förderperiode. Im KNP haben sich Universitätskliniken, Forschungseinrichtungen, Städtische Kliniken, Parkinson-Fachkliniken und Rehabilitationseinrichtungen zusammengeschlossen. Ziel ist die Förderung der Parkinson- Forschung und die Optimierung der Versorgung durch raschere Umsetzung von Forschungsergebnissen in die klinische Therapie.
Es wurde eine Netzstruktur zwischen den beteiligten neurologischen Kliniken aufgebaut, die ein internetbasiertes System umfasst, mit dem gemeinsame Datenbanken für die Sammlung von Krankendaten, Biomaterialbanken wie die Genbank aber auch die Durchführung von klinischen Studien geführt werden können. Mit diesem System werden jetzt mehrere multizentrische Forschungsprojekte realisiert. So werden im KNP Projekte zur Frühdiagnose der Parkinson-Syndrome, neurologisch-neurochirurgische und pharmakologische Multizenterstudien sowie ökonomische Fragestellungen bearbeitet. Die dritte Förderperiode dient der Sicherung des längerfristigen Bestandes des Netzwerkes nach Auslaufen der BMBF-Förderung. Ein wichtiger Schritt auf dem Weg dorthin war die Gründung der German Parkinson Study Group (GPS). Die Studiengruppe führt Industrie-finanzierte Studien durch und verwirklicht Investigatorinitiierte Projekte.
Optische Messung neuronaler Netzwerkdynamik in 3D
Authors: Göbel Werner , Helmchen Fritjof 
Published: April 2017

Zusammenfassung
Die Funktionsweise des Gehirns beruht auf komplex verschalteten Netzwerken von Nervenzellen und umgebenden Gliazellen. Die Erregungsmuster in diesen Netzwerken bilden die Grundlage für die Verarbeitung sensorischer Reize, für Gedächtnisbildung, und für Verhalten. Die Messung der räumlichen und zeitlichen Aktivitätmuster in neuronalen Netzwerken im lebenden Gehirn ist daher ein wesentliches, bisher jedoch unvollständig erreichtes Ziel der Hirnforschung. Elektrische Ableitverfahren ermöglichen zumeist nur punktuelle Messungen und auch optische Verfahren zur in vivo Darstellung zellulärer Aktivität, wie die 2-Photonen-Laserscanning-Mikroskopie, sind im Hinblick auf Geschwindigkeit und Bildfeld begrenzt. Insbesondere wird beim konventionellen, rasterförmigen Laserscanning die dreidimensionale Struktur neuronaler Schaltkreise im Hirngewebe nicht berücksichtigt. Hier präsentieren wir neuartige Laserscanning-verfahren, die mithilfe mechanischer Schwingungen des Mikroskopobjektivs schnelle funktionelle Bildgebung in 3D ermöglichen. Die neuen Methoden erlauben Aufnahmen von 3D-Aktivitätsmustern in lokalen Netzwerken von mehreren hundert Zellen sowie neue Blickwinkel auf Erregungsmuster in einzelnen Neuronen. Sie eröffnen damit neue Möglichkeiten der in vivo Untersuchung neuronaler Schaltkreise.