bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small Changes With Big Consequences: Swapping Two Atoms In Side Chains Changes Phenylene‐Ethynylene Packing And Fluorescence
Authors: Sharber Seth A. , Thomas Samuel W. 
Published: October 2018

AbstractEngineering the properties of conjugated materials in the solid state is an unsolved, ongoing challenge important to fundamental understanding of how non‐covalent interactions dictate packing and key properties, as well as the development of technologies based in organic optoelectronics. The most common design paradigm of such materials divide them into a “main chain” with extended conjugation, the chemical structure of which determines optoelectronic properties, and “side chains” not conjugated to the backbone, which provide solubility when they are long alkyl chains. This paper describes comparisons between phenylene‐ethynylene molecules in which slight changes to the structure of “side chains”—swapping hydrogen and fluorine atomic position on an aromatic ring—results in unexpectedly large changes in the solid‐state optical properties. In a pair of anisyl‐terminated three‐ring phenylene‐ethynylenes, switching the side chain arenes of benzyl esters from 2,4,6‐trifluoro to 2,3,6‐trifluoro results in a shift in fluorescence emission spectra of over 100 nm, as well as the opposite direction of force‐induced shifting of emission. Through a combination X‐ray crystal structures, electronic structure calculations, and comparisons with other derivatives, we describe how the 2,4,6‐trifluorinated side chains yield cofacial fluoroarene‐arene stacking interactions that twist the PE backbone out of conjugation, while the 2,3,6‐trifluoro side chains do not stack, instead yielding more coplanar PE backbones that form intermolecular aggregates. Overall, this work demonstrates how slight modifications to parts of conjugated materials normally considered ancillary to optoelectronic properties can determine their solid‐state properties, epitomizing the challenge of rational design but at the same time offering opportunities for materials discovery and improved understanding of non‐covalent interactions.
Stereoselective Sensing of l‐ and d‐Amino Acids: Development of a Fluorescence‐Array Based on Readily Available Chiral Phosphoric Acids
Authors: Octa‐Smolin Frescilia , Niemeyer Jochen 
Published: October 2018

AbstractThe identification of structurally related analytes has become possible using sensor arrays, based on sets of cross‐reactive chemosensors. This work reports the use of readily available chiral phosphoric acids for the array‐based, chemo‐ and stereoselective sensing of l‐ and d‐amino acids. Six bis‐ and trisphosphoric acids were used in combination with Ni2+ and Eu3+, resulting in a set of twelve chiral fluorescent chemosensors. This sensor‐array enables a correct classification of l‐amino acids with 100 % accuracy, while the differentiation between l‐ and d‐amino acids can be achieved with 94 % accuracy. In addition, the systematic analysis of sensor contributions has allowed the use of a reduced set of seven sensors for the classification of l‐amino acids, thus drastically reducing the amount of necessary measurements.
Characteristics of zeolite‐modified NiMo/Al2O3 catalysts and their hydrotreating performance for light cycled oil
Authors: Hu Erfeng , Yao Zonglu , Zhao Lixin , Wu Juan , Meng Haibo , Huo Lili , Li Yuan 
Published: October 2018

AbstractThe performance of a widely used commercial catalyst, NiMo/Al2O3, might be not adequate to meet more stringent regulations for the fuel products; therefore, a lot of research has been devoted to improving its performance. In this study, three different modified zeolites were added in NiMo/Al2O3 catalyst to investigate the selective improvement of the hydrodesulphurization (HDS) and hydrodenitrification (HDN) activity. The catalysts were characterized by N2 adsorption, pyridine‐infrared spectroscopy (IR), H2‐temperature program reduction (H2‐TPR), x‐ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM), and their catalytic activity was tested in the HDS and HDN of light cycle oil (LCO). Characterization results revealed that the catalyst surface area increased but the pore volume and average pore size decreased by adding modified zeolite. The activity evaluation result showed that the NiMo/MB catalyst had the highest activity and meanwhile decreased the final boiling point from 520.8 to 457 °C. The sulphur decreased by 97.65 % from 13 000 to 305 ppm and the nitrogen reduced by 99.74 % from 496 to 1.29 ppm in LCO hydrotreating, notably for NiMo/MB catalyst. The acid properties indicated that zeolite brought some strong and ultra‐strong acidic sites, which might favour a cracking reaction and reduce the liquid recovery yield. However, only 1.99 and 1.34 wt% of the LCO were cracked over the zeolite beta and zeolite modified beta respectively, indicating a slight cracking process. These results suggest that an added modified beta not only raised the quality of LCO distillation but also avoided the overcracking of hydrocarbons.
Evaluation of cystatin C and neutrophil gelatinase‐associated lipocalin as predictors of mortality in patients undergoing percutaneous mitral valve repair (MitraClip)
Authors: Dörr Oliver , Walther Claudia , Liebetrau Christoph , Keller Till , Ortlieb Regine M. , Boeder Niklas , Bauer Pascal , Möllmann Helge , Gaede Luise , Troidl Christian , Voss Sandra , Bauer Timm , Hamm Christian W. , Nef Holger 
Published: October 2018

BackgroundCompromised renal function is a major risk factor that is strongly associated with poor outcome in patients with mitral regurgitation (MR) and heart failure. Cystatin C, a cysteine protease inhibitor, has been used as a specific and sensitive biomarker of renal function. Neutrophil gelatinase‐associated lipocalin (NGAL) is another sensitive biomarker that specifically indicates functional and structural kidney damage. The aim of the present study was to determine the predictive value of serum cystatin C and urinary NGAL as indicators of mortality in patients undergoing percutaneous mitral valve repair (PMVR).MethodsA total of 120 consecutive patients (age: 77.3 years [±11.2]) undergoing PMVR using the MitraClip system were included in this study. Venous blood and urinary samples were collected for biomarker analysis prior to PMVR. Physiological parameters, medication use, safety events, and all‐cause mortality were assessed 12 months after the procedure.ResultsTwelve months after PMVR, there was a significant reduction in the severity of MR (P < 0.001), and an improvement in the New York Heart Association class (P < 0.01) was documented. Baseline levels of serum cystatin C (nonsurvivors: 2.4 mg/L [interquartile, IQR: 1.7;3.1] vs survivors: 1.7 mg/L [IQR: 1,3;2.1], P < 0.001) and urinary NGAL (nonsurvivors: 242.0 ng/mL [IQR: 154.5;281.5] vs survivors: 132.0 ng/mL [IQR:107.0;177.3], P < 0.001) were significantly higher in patients who died during the 12‐month follow‐up period.ConclusionCystatin C and urinary NGAL were found to be predictors of long‐term mortality in high‐risk patients undergoing PMVR. Thus, cystatin C and NGAL assessment may be helpful in risk stratification in patients undergoing PMVR.
Neprilysin levels at the acute phase of ST‐elevation myocardial infarction
Authors: Bernelin Hugo , Mewton Nathan , Si‐Mohamed Salim , Croisille Pierre , Rioufol Gilles , Bonnefoy‐Cudraz Eric , Douek Philippe , Dufay Nathalie , Amaz Camille , Jossan Claire , Ovize Michel , Bochaton Thomas 
Published: October 2018

BackgroundSeveral preliminary analyses suggested an association between neprilysin (NEP) levels and myocardial infarction.HypothesisThe objective was to assess whether NEP plasma levels following reperfusion might be a surrogate for infarct size (IS) or predict adverse outcomes in acute ST‐segment elevation myocardial infarction (STEMI) patients.MethodsWe measured NEP levels in a prospective cohort of 203 patients with STEMI referred for primary percutaneous coronary intervention. Circulating soluble NEP was measured by enzyme‐linked immunosorbent assay at admission (t0) and 4 hours later (t4) following reperfusion and on 7 times points (t0, t4, t12, t24, t48, day 7 and day 30) in a subset of 21 patients. IS and left ventricular ejection fraction (LVEF) were measured at 1 month by cardiac magnetic resonance. Adverse cardiovascular outcomes were collected at 12‐month follow‐up.ResultsMedian t0 and t4 NEP levels in 203 patients were respectively 88.3 pg/mL (interquartile range [IQR] [14; 375.4]) and 101.5 pg/mL (IQR [18.5; 423.8]). These levels remained unchanged over 1 month (P = 0.70). NEP levels did not correlate significantly with IS (P = 0.51) or LVEF (P = 0.34). There was no correlation between NEP and troponin, creatine kinase and interleukin‐6 levels at h0 and h4. NEP levels above the median were not associated with adverse outcomes at follow‐up (hazard ratio = 1.28, 95% confidence interval [0.69; 2.37]; P = 0.42).ConclusionsNEP serum levels were widely distributed and did not change significantly in the first hours and 1‐month period following reperfusion in STEMI patients. There was no significant relationship with markers of infarct size and inflammation, and 1‐year adverse outcomes.
Evaluation of Sydnone‐Based Analogues of Combretastatin A‐4 Phosphate (CA4P) as Vascular Disrupting Agents for Use in Cancer Therapy
Authors: Brown Andrew W. , Holmes Toby , Fisher Matthew , Tozer Gillian M. , Harrity Joseph P. A. , Kanthou Chryso 
Published: October 2018

AbstractThe combretastatins have attracted significant interest as small‐molecule therapies for cancer due to their ability to function as vascular disrupting agents. We have successfully prepared a range of combretastatin analogues that are based on a novel sydnone heterocycle core, and their potential as tubulin binders has been assessed in vitro and in vivo. The most potent candidate was found to disrupt microtubules and affect cellular morphology at sub‐micromolar levels. Moreover, it was found to bind reversibly to tubulin and significantly increase endothelial cell monolayer permeability, in a similar manner to combretastatin A4. Surprisingly, the compound did not exhibit efficacy in vivo, possibly due to rapid metabolism.
Translational research: Empowering the role of pathologists and cytopathologists
Authors: Khella Heba W. Z. , Yousef George M. 
Published: October 2018

AbstractResearch activity is in the core essence of pathology. Advancing our understanding of disease pathogenesis translates into better patient care. Because of their unique position, laboratorians are the best to accurately identify, annotate, and classify research specimens. They also are essential for the accurate interpretation of genomic testing. Currently, cytopathologists are moving to the center of patient care through active communication with clinicians and patients. There are certain research areas in which cytopathologists can be pioneers, such as image analysis, morphology research, and genotype‐phenotype association studies integrating morphologic and molecular features. Health service utilization research is another domain in which cytopathologists can excel. Successful research is a journey that necessitates multiple steps. It also involves building expertise in how to overcome obstacles and handle challenges.
Key analysis of smart tourism project setting and tourists' satisfaction degree based on data mining
Authors: Gu Tao , Song Lijun , Wang Hua , Jin Maozhu 
Published: October 2018

SummaryBy improving the mining efficiency and enhancing the scalability of the algorithm, it solves the problem that the traditional recommendation algorithm has a long response time and low recommendation efficiency in the recommendation of tourist spots, and cannot adapt to the needs of big data mining. An in‐depth analysis of the existing collaborative filtering recommendation algorithm was conducted, and the Slope One algorithm and the Item‐based algorithm recommended for the tourist attractions were selected. Combine these two algorithms efficiently, parallelize the algorithm based on MapReduce programming on the Hadoop cloud platform, and verify the validity of the algorithm by collecting the “tourism evaluation network” real tourist attraction scoring data. By testing the real tourist attraction score data, it shows that the algorithm not only improves the accuracy of the recommendation but also has higher running speed than the traditional collaborative filtering algorithm. The experimental results show that the algorithm has higher mining performance and scalability and can be better adapted to the characteristics of large tourist sites, sparse data matrix, and meet the high hit rate and personalized requirements of tourist attractions.
Design and implementation of real‐time traceability monitoring system for agricultural products supply chain under Internet of Things architecture
Authors: Chen Jinbo , Huang Ye , Xia Pengxiao , Zhang Yuying , Zhong Yu 
Published: October 2018

SummaryAgricultural products are an important guarantee for human health. The supply chain of agricultural products as its carrier has always been a research hotspot in academia and business circles. Applying the Internet of Things and NFC technology to the agricultural product supply chain area will play an important role in the intelligent management and traceability of agricultural product supply chains. The intelligent management and traceability of agricultural products supply chain are the management of data information. How to collect, store, process, analyze, and visualize the data information during the flow of agricultural products from the source to the table is an important issue which needs urgent research. This paper proposes and validates the NFC technology assumption of the application value of agricultural product supply chain. The communication interface between the agricultural product supply chain data acquisition terminal and the collection terminal module and peripheral equipment based on BD, GSM, and NFC module is designed. The physical storage structure of the NFC tag is then planned, and the DES and RSA encryption algorithms of the NFC tag are implemented. According to the theory of Internet of Things, the traceability system of agricultural product supply chain is divided into four levels: physical layer, service layer, data layer, and application layer. The three major areas of enterprise management, user query, and government supervision are designed to trace the information flow and system. Finally, this paper analyzes the hardware resources needed for the traceability system of agricultural product supply chain and uses the resources of the cooperative supply chain enterprise to implement the system application and deployment. The experiment verifies that the real‐time traceability monitoring system for agricultural product supply chain proposed in this paper is effective in practical application.
A new kind of parameter for fault tolerance of graphs
Authors: Guo Litao , Guo Xiaofeng 
Published: October 2018

SummarySuppose that G = (V(G), E(G)) is a connected graph and D(G) is the diameter of G. For two distinct vertices a1, b1 ∈ V, κ(a1, b1), defined as local connectivity of a1 and b1, is the maximum value of independent paths from a1 to b1 in G. Similarly, λ(a1, b1) is local edge connectivity of a1 and b1. For some t ∈ [1, D(G)], ∀ a1, b1 ∈ V, a1 is distinct to b1, and distance of a1 and b1 is d(a1, b1) = t, if κ(a1, b1) or (λ(a1, b1)) = min {d(a1), d(b1)}, then G is called t‐distance optimally (edge) connected. For all integers 0 < k ≤ t, if G is k‐distance optimally connected, then we call that G is t‐distance local optimally connected. Similarly, we have the definition of t‐distance local optimally edge connected graphs. The t‐distance connectivity κd(G, t) of G is

urn:x-wiley:15320626:media:cpe4787:cpe4787-math-0001
The distance connectivity of G is defined as κd(G) = (κd(G, 1), κd(G, 2), …, κd(G, D(G))). Then, λd(G, t) and λd(G) can be defined similarly. Using the number of (edge) independent vi‐vj paths to replace the number 1, we generalize the adjacency matrix to the (edge) path matrix. In this research, we characterize the distance connectivity of graphs with D(G) ≤ 2, Cartesian product of k‐regular graphs, and the regular graphs. We also determine the eigenvalues of path matrix of some graphs and give some problems about distance connectivity.
Digital generation of non‐Gaussian random vibration signals in railway transportation and package response analysis
Authors: Zhu Dapeng 
Published: October 2018

SummaryThis paper presents two methods for generation artificial acceleration time series focused on the simulation of non‐Gaussian spiky fluctuation features. The random acceleration time series were recorded in railway boxcar; the simulations were performed under the PSD and higher statistical moments (skewness and kurtosis) restrictions. The first method is based on discrete Fourier transform method with EARPG(1) model, which, in nature, is a Fourier representation of time series with special selection of random Fourier phases. The synthetic time series generation are presented for a given target PSD property, skewness, and kurtosis. In the second method, we characterized the stationary and non‐Gaussian process using polynomial chaos expansion and Karhunen‐Loeve expansion approach based on the target PSD, skewness, and kurtosis. The accuracy of the methods are verified by moments and PSD comparison. The package is simplified to be a SDOF system; the acceleration response characteristics of the system are analyzed; the results can be applied in packaging system behaviors evaluation and packaging design optimization.
Distributed cache memory data migration strategy based on cloud computing
Authors: Dongsheng Wang , Chuanhe Huang 
Published: October 2018

SummaryIn view of the huge scale of cloud computing, cloud computing systems face many problems in terms of scalability and high availability. In view of the distributed data storage in the cloud computing environment, a recursion based N boundary network model is constructed. A data management model is given on the basis of the data center network structure. A replica distribution strategy and a copy selection strategy are designed to improve the data availability and load balance. On the premise of guaranteeing data availability, a data migration algorithm based on coverage set is proposed, which uses node selection strategy to reduce the migration cost as much as possible. Data migration makes more machines dormant and reduces energy consumption. By comparing and analyzing the experimental data, the correctness and effectiveness of the proposed network topology, data management model, and data migration technology are verified. In the edge cloud computing architecture, in order to ensure the response time of the cloud computing service and minimize the data redundancy in the system, this paper proposes and analyzes the data migration strategy and the pre stored data migration strategy for the network transmission, and gives the suitable application scene. On this basis, in order to control the balance of access network transmission and storage flexibly, a data migration strategy based on network performance is proposed, which ensures the real‐time response of the service.
Optimal resource allocation in mobile satellite networks: A noncooperative dynamic game–based approach
Authors: Zeng Chenxi 
Published: October 2018

SummaryIn this paper, we have researched the resource allocation problem in satellite networks and proposed an optimal approach for resource allocation, especially for the energy control in satellite networks, based on dynamic game. The objective functions for each transmission link between the satellite and users are formulated to control the information transmission energy, based on the SINR requirements, transmission cost, and information rate. Then, the energy control problem in satellite networks can be considered as a noncooperative dynamic game problem. Solving the game problem is solving the energy control problem in satellite networks. The optimal transmission energy is discussed based on the Nash equilibrium. Simulations are given to prove the effectiveness of the proposed model.
Laser Irradiation of Gd−Si and Gd−Si−Ge Colloid Mixtures for the Fabrication of Compound Nanoparticles
Authors: Tarasenka Natalie , Kiris Vasili , Stankevičius Evaldas , Tarasenko Nikolai , Pankov Vladimir , Krčma František , Gečys Paulius , Račiukaitis Gediminas 
Published: October 2018

AbstractBinary (Gd5Si4, GdSi) and ternary (Gd5Si2Ge2) compound nanoparticles (NPs) were prepared by laser irradiation of a mixture of colloidal solutions containing NPs of the relevant elements. It is assumed that the compound NPs are formed by heating, co‐melting, and chemical interactions in the alloyed droplets. The blackbody‐like radiation of the heated NPs was used for temperature control of the NP‐preparation process. The obtained results demonstrate that laser irradiation of colloidal NPs provides unique possibilities not only for the synthesis of compound NPs but also for control of their phase composition and size. The synthesized Gd‐based compound NPs exhibited magnetic transition at an ordering temperature, TC, in the range of 310–320 K. Thus, the magnetic properties of the synthesized particles confirm their potential for biomedical applications, in particular, for magnetic hyperthermia treatment.
Nonhormonal selective estrogen receptor modulator 1‐(2‐[4‐{(3R,4S)‐7‐Methoxy‐2, 2‐dimethyl‐3‐phenyl‐chroman‐4yl}phenoxy]ethyl)pyrrolidine hydrochloride (ormeloxifene hydrochloride) for the treatment of breast cancer
Authors: Pillai Lakshmi Sreedharan , Regidi Saikant , Varghese Shiny Deena , Ravindran Shilpa , Maya Vani , Varghese Jesline , Ramaswami Kartik , Gopimohan Rajmohan , Gopi Manoj 
Published: October 2018

AbstractBreast cancer is the most common type of diagnosed cancers in women, difficult to treat, and has received international attention because of its aggressive nature and inherent drug resistance mechanisms. Development of a better selective estrogen receptor modulator with good therapeutic profile and less toxicity is very crucial in this scenario. This study was undertaken to evaluate and compare the in vitro and in vivo antitumor activities of ormeloxifene with other clinically used breast cancer drugs. Cytotoxic activity of ormeloxifene was compared with standard drugs, 4‐hydroxytamoxifene and Adriamycin. Ormeloxifene (50 μM) concentration showed cytotoxicity of 75% and 82% in MDAMB‐231 and 24% and 80% in MCF‐7 cells, respectively, after 72 and 144 hr of incubation as displayed by cell viability assay. The same concentration of ormeloxifene was shown to exert 74% caspase‐7 activation in MCF‐7 cells after 24 hr of incubation by fluorescence resonance energy transfer assay. Cell cycle analysis proved that there was an increase in sub‐G1 peak to 64.4% and 33.9% in MDAMB‐231 and MCF‐7 cells, respectively, after treatment using ormeloxifene (50 μM) for 48 hr. The nonobese diabetic‐severe combined immunodeficiency mice bearing tumor xenografts of triple negative MDAMB‐231 cells treated with ormeloxifene (3 mg/kg bw) showed significant regression in relative tumor volume compared to control. From the results obtained and as evidenced from prior literature, ormeloxifene in addition to contraceptive use, can be repositioned for the development of an efficacious anticancer drug. These data present the preclinical part of a well concerted effort to place ormeloxifene into further clinical trials.