bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Clock mutant mouse is a novel experimental model for nocturia and nocturnal polyuria
Authors: Ihara Tatsuya , Mitsui Takahiko , Nakamura Yuki , Kira Satoru , Miyamoto Tatsuya , Nakagomi Hiroshi , Sawada Norifumi , Hirayama Yuri , Shibata Keisuke , Shigetomi Eiji , Shinozaki Yoichi , Yoshiyama Mitsuharu , Andersson Karl‐Erik , Nakao Atsuhito , Takeda Masayuki , Koizumi Schuichi 
Published: June 2016

AimsThe pathophysiologies of nocturia (NOC) and nocturnal polyuria (NP) are multifactorial and their etiologies remain unclear in a large number of patients. Clock genes exist in most cells and organs, and the products of Clock regulate circadian rhythms as representative clock genes. Clock genes regulate lower urinary tract function, and a newly suggested concept is that abnormalities in clock genes cause lower urinary tract symptoms. In the present study, we investigated the voiding behavior of Clock mutant (ClockΔ19/Δ19) mice in order to determine the effects of clock genes on NOC/NP.MethodsMale C57BL/6 mice aged 8–12 weeks (WT) and male C57BL/6 ClockΔ19/Δ19 mice aged 8 weeks were used. They were bred under 12 hr light/dark conditions for 2 weeks and voiding behavior was investigated by measuring water intake volume, urine volume, urine volume/void, and voiding frequency in metabolic cages in the dark and light periods.ResultsNo significant differences were observed in behavior patterns between ClockΔ19/Δ19 and WT mice. ClockΔ19/Δ19 mice showed greater voiding frequencies and urine volumes during the sleep phase than WT mice. The diurnal change in urine volume/void between the dark and light periods in WT mice was absent in ClockΔ19/Δ19 mice. Additionally, functional bladder capacity was significantly lower in ClockΔ19/Δ19 mice than in WT mice.ConclusionsWe demonstrated that ClockΔ19/Δ19 mice showed the phenotype of NOC/NP. The ClockΔ19/Δ19 mouse may be used as an animal model of NOC and NP. Neurourol. Urodynam. 36:1034–1038, 2017. © 2016 Wiley Periodicals, Inc.
Linear smoothed polygonal and polyhedral finite elements
Authors: Francis Amrita , Ortiz‐Bernardin Alejandro , Bordas Stéphane PA , Natarajan Sundararajan 
Published: June 2016

SummaryThe strain smoothing technique over higher order elements and arbitrary polytopes yields less accurate solutions than other techniques such as the conventional polygonal finite element method. In this work, we propose a linear strain smoothing scheme that improves the accuracy of linear and quadratic approximations over convex polytopes. The main idea is to subdivide the polytope into simplicial subcells and use a linear smoothing function in each subcell to compute the strain. This new strain is then used in the computation of the stiffness matrix. The convergence properties and accuracy of the proposed scheme are discussed by solving a few benchmark problems. Numerical results show that the proposed linear strain smoothing scheme makes the approximation based on polytopes able to deliver the same optimal convergence rate as traditional quadrilateral and hexahedral approximations. The accuracy is also improved, and all the methods tested pass the patch test to machine precision. Copyright © 2016 John Wiley & Sons, Ltd.
Does Organizational Justice Modify the Association Between Job Involvement and Retirement Intentions of Nurses in Finland?
Authors: Sulander Juhani , Sinervo Timo , Elovainio Marko , Heponiemi Tarja , Helkama Klaus , Aalto Anna‐Mari 
Published: June 2016

AbstractGiven the growing aging population in Finland, retaining health staff to care for them is important. In an exploration of predictors of quitting before the typical retirement age, which ranges from 63 to 68 years in Finland, we examined whether organizational justice moderated the association between job involvement and retirement intentions among nurses 50 years and over. The sample was 446 nurses (70% practical nurses) working in 134 assisted living facilities providing 24‐hour care for older residents in Finland. Job involvement was measured with the Job Involvement Questionnaire, and organizational justice with a scale that tapped its three dimensions: distributive justice, procedural justice, and interactional justice. In covariance analyses, low organizational justice and low job involvement were associated with a higher likelihood of retirement intention. Both interactional justice and procedural justice moderated the association of job involvement with retirement intentions. Among nurses with low job involvement, those who experienced unjust treatment, that is, low interactional justice, and evaluated organizational procedures as unjust had significantly stronger retirement intentions than nurses with high levels of interactional and procedural justice. Distributive justice was associated with retirement intentions in both high and low job‐involved respondents. Organizational justice may act as a buffer against retirement intention as one consequence of nurses’ low job involvement. © 2016 Wiley Periodicals, Inc.
Why Don't Housing Choice Voucher Recipients Live Near Better Schools? Insights from Big Data
Authors: Ellen Ingrid Gould , Horn Keren Mertens , Schwartz Amy Ellen 
Published: June 2016

AbstractHousing choice vouchers provide low‐income households with additional income to spend on rental housing in the private market. The assistance vouchers provide is substantial, offering the potential to dramatically expand the neighborhoods—and associated public schools—that low‐income households can reach. However, existing research on the program suggests that housing choice voucher holders live in neighborhoods with schools that are no better than those accessible to other households with similar incomes. Households, in other words, do not seem to spend the additional income provided by the voucher to access better schools. In this analysis we rely on a large‐scale administrative data set to explore why voucher households typically do not live near to better schools, as measured by school‐level proficiency rates. We combine confidential administrative data from the Department of Housing and Urban Development on 1.4 million housing choice voucher holders in 15 states, with school‐level data from 5,841 different school districts, to examine why the average housing voucher holder does not live near to higher‐performing schools than otherwise similar households without vouchers. Specifically, we use the large‐scale administrative data set to test whether voucher holders living in areas with good schools nearby and slack housing markets move toward better schools when schools become salient for them—that is, when their oldest child becomes school eligible. We take advantage of the thick sample of households with young children provided through our administrative data to implement both a household fixed effects and a regression discontinuity design. Together these analyses shed light on whether voucher households are more likely to move toward better schools when schools are most relevant, and how market conditions shape that response. We find that families with vouchers are more likely to move toward a better school in the year before their oldest child meets the eligibility cutoff for kindergarten, suggesting salience matters. Further, the magnitude of the effect is larger in metropolitan areas with a relatively high share of affordable rental units located near high‐performing schools and in neighborhoods in close proximity to higher‐performing schools. Results suggest that, if given the appropriate information and opportunities, more voucher families would move to better schools when their children reach school age.
Connections Matter: How Interactive Peers Affect Students in Online College Courses
Authors: Bettinger Eric , Liu Jing , Loeb Susanna 
Published: June 2016

AbstractPeers affect individual's productivity in the workforce, in education, and in other team‐based tasks. Using large‐scale language data from an online college course, we measure the impacts of peer interactions on student learning outcomes and persistence. In our setting, students are quasi‐randomly assigned to peers, and as such, we are able to overcome selection biases stemming from endogenous peer grouping. We also mitigate reflection bias by utilizing rich student interaction data. We find that females and older students are more likely to engage in student interactions. Students are also more likely to interact with peers of the same gender and with peers from roughly the same geographic region. For students who are relatively less likely to be engaged in online discussion, exposure to more interactive peers increases their probabilities of passing the course, improves their grade in the course, and increases their likelihood of enrolling in the following academic term. This study demonstrates how the use of large‐scale, text‐based data can provide insights into students’ learning processes.
Contributing factors and outcomes of treatment refusal in pediatric oncology in Germany
Authors: Zuzak Tycho Jan , Kameda Genn , Schütze Tim , Kaatsch Peter , Seifert Georg , Bailey Rebekka , Längler Alfred 
Published: June 2016

AbstractBackgroundIn Germany, about 1,800 new cases of pediatric cancer under 15 years of age are diagnosed each year and survival rates approach 80%. Although treatment is covered by health insurance and is thus available for all patients at no cost, treatment refusal and treatment discontinuation have been observed. However, no data providing numbers and outcomes for developed countries have been published thus far.ProcedureA questionnaire‐based survey was performed among German pediatric oncology centers to ascertain the number of treatment refusals among pediatric patients who were diagnosed between January 2008 and December 2009 in Germany.ResultsQuestionnaires from 70 of 73 centers were available, and of these 13 centers reported a total of 15 cases of treatment refusal or discontinuation within this 2‐year period. Five of the 15 patients died, 7 of 15 were still alive, and the current status of 3 of 15 patients was unknown. Diseases were heterogeneous. Six of the 15 parents refused treatment for their children initially, 8 of 15 discontinued during the course of treatment. Five patients were treated after parental custody had been withdrawn due to the lack of compliance. All these five patients survived. Parents’ reasons given for refusal or discontinuation of treatment were related to personal health beliefs and coping strategies.ConclusionsAlthough treatment refusal or discontinuation is rare, it is accompanied by a high mortality rate. Parents’ personal health beliefs play a primary role in treatment refusal or discontinuation in Germany. This emphasizes the importance of sustaining a functioning and mutually communicative physician–parent–patient relationship.
FF12MC: A revised AMBER forcefield and new protein simulation protocol
Authors: Pang Yuan‐Ping 
Published: June 2016

ABSTRACTSpecialized to simulate proteins in molecular dynamics (MD) simulations with explicit solvation, FF12MC is a combination of a new protein simulation protocol employing uniformly reduced atomic masses by tenfold and a revised AMBER forcefield FF99 with (i) shortenedCHbonds, (ii) removal of torsions involving a nonperipheralsp3atom, and (iii) reduced 1–4 interaction scaling factors of torsionsϕandψ. This article reports that in multiple, distinct, independent, unrestricted, unbiased, isobaric–isothermal, and classical MD simulations FF12MC can (i) simulate the experimentally observed flipping between left‐ and right‐handed configurations for C14–C38 of BPTI in solution, (ii) autonomously fold chignolin, CLN025, and Trp‐cage with folding times that agree with the experimental values, (iii) simulate subsequent unfolding and refolding of these miniproteins, and (iv) achieve a robustZscore of 1.33 for refining protein models TMR01, TMR04, and TMR07. By comparison, the latest general‐purpose AMBER forcefield FF14SB locks the C14–C38 bond to the right‐handed configuration in solution under the same protein simulation conditions. Statistical survival analysis shows that FF12MC folds chignolin and CLN025 in isobaric–isothermal MD simulations 2–4 times faster than FF14SB under the same protein simulation conditions. These results suggest that FF12MC may be used for protein simulations to study kinetics and thermodynamics of miniprotein folding as well as protein structure and dynamics. Proteins 2016; 84:1490–1516. © 2016 The Authors Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.
A refined filter for UHAD to improve anomaly detection
Authors: Hajamydeen Asif Iqbal , Udzir Nur Izura 
Published: June 2016

AbstractFiltering is used in intrusion detection to remove the insignificant events from a log to facilitate the analysis method to focus on the significant events and to minimize processing overhead. Generally, filtering is performed using filtering rules, which are framed using a set of data (training data), or the known facts on anomalous events. This knowledge‐dependent nature confines the filterer to filter‐in only the recognized anomalies in the logs, making the rest unavailable for further scrutiny. This problem has been addressed earlier by designing a filterer that manipulates the tested log data based on the patterns and volume of events to calculate the filtering threshold. Even though this filtering threshold was able to retain the anomalous events in most heterogeneous logs, it failed when such events were of high volume and also due to the inaccuracies in cluster formation. Therefore, this paper proposes a refined filterer for unsupervised heterogeneous anomaly detection that retains most anomalous events irrespective of its volume in the logs and also discusses the impact of the refined filterer in supporting the detection. The experiment conducted reveals that the refined filterer retained almost all the abnormal events thereby enabling the detection of maximum anomalies. Copyright © 2016 John Wiley & Sons, Ltd.
Novel Fluorescence Signal Magnified Chemosensors for Detection of Fe3+ and Hg2+ Ions
Authors: Jia Yiru , Cheng Xinjian 
Published: June 2016

AbstractTwo novel chemosensors were designed and synthesized, which could detect Fe3+ and Hg2+ with high sensitivity. By controlling the molecular ratio of hydrazine hydrate to BODIPY derivatives (OB2), these two different sensors were obtained. The one contains two BODIPY units in each molecule (OS21), the other contains one BODIPY unit in each molecule (OS11). The structures of OS21 and OS11 were studied by 1H‐NMR, Fourier transform infrared spectra (FTIR), and mass spectrometry (MS). The measurements show that OS11 was stable in pH range of 3.65‐11.09, while OS21 was stable in pH range of 3.16‐11.88. Upon the addition of Fe3+ and Hg2+ ions, fluorescence of OS11 and OS21 was quenched notably. Besides, OS21 was more sensitive to both Fe3+ and Hg2+ than OS11. And the color of OS11 and OS21 were also changed dramatically with the contacting of Fe3+ and Hg2+. Job's plot indicated that the molar binding ratio of OS11 to Fe3+ was 1:2, to Hg2+ was 1:1. The molar binding ratio of OS21 to Fe3+ was 1:3, to Hg2+ was 1:1. Also, it is found that the sensor could detect Fe3+ and Hg2+ in 0.5 μM concentration. Furthermore, the OS21 shows a fluorescence signal magnification effect as expected comparing with OS11. Moreover, the binding sites in the sensors for Fe3+ and Hg2+ ions were investigated as well.
Functionalized TiO2 Nanoparticles as Labels for Immunoassay
Authors: Sarro Marco , Baggiani Claudio , Giovannoli Cristina , Cerruti Marta , Calza Paola , Anfossi Laura 
Published: June 2016

AbstractWe designed a versatile inorganic probe based on functionalized TiO2 nanoparticles for labeling immunoreagents and developing immunological tests. Similarly to enzymatic probes traditionally used in immunoassay, the TiO2 probe could be covalently linked to antigens or antibodies and exploited as the signal reporter in immunoassays. The TiO2 probe allowed revealing the rate of antigen‐antibody complex formation by promoting the oxidation of a suitable chromogenic substrate with absorption in the visible. We demonstrated the suitability of the TiO2 probe as a label for immunoassay by coupling it to human serum albumin and developing a direct competitive assay to measure micro‐ and macro‐albuminuria for diabetes diagnosis. The developed TiO2‐based assay showed high sensitivity (detection limit 1.4 mg l−1), wide dynamic range (6‐1270 mg l−1) and acceptable precision (within‐ and between‐assay coefficient of variation %<20 %) and accuracy (75‐95 %) for measuring albumin in human urine. The method is fully compatible with materials and equipment of standard enzyme immunoassay (except for the need of UV irradiation), while the inorganic probe is more robust towards chemical and physical conditions and shows better long term stability compared to enzymes.
Selective Synthesis of Vinyl‐ or Alkynyl Chalcogenides from Glycerol and their Water‐Soluble Derivatives
Authors: Soares Liane K. , Silva Rafaela B. , Peglow Thiago J. , Silva Márcio S. , Jacob Raquel G. , Alves Diego , Perin Gelson 
Published: June 2016

AbstractWe describe here a convenient procedure to synthesize new vinyl chalcogenides in the reaction of dichalcogenides derived from glycerol with terminal alkynes and NaBH4, where polyethylene glycol‐400 (PEG‐400) is the solvent at 30 °C in a N2 atmosphere. In addition, we report an interesting result for the synthesis of alkynyl chalcogenides using the same substrates with EtOH as the solvent. In both protocols, the corresponding products were obtained in good yields with high selectivity and tolerated a range of terminal alkynes. The treatment of these compounds with acidic cation exchange resin Dowex‐(H+) produced new water‐soluble organochalcogen compounds.
Facile and Green Chemistry Access to 5‐aryl‐1,2,4‐Triazolidine‐3‐thiones in Aqueous Medium
Authors: Ramesh Rathinam , Lalitha Appaswami 
Published: June 2016

AbstractA clean, cost‐effective and very practical approach has been disclosed for the one‐pot, cyclo condensation of aromatic aldehydes with different thiosemicarbazides in aqueous ethanol leading to pharmaceutically diverse 5‐aryl‐1,2,4‐triazolidine‐3‐thiones in good yields under neutral reaction conditions. Simple operational procedure, high product yield, rapid and use of green solvent system make this protocol economical as well as environmentally benevolent.
Iron(III) Versatile Catalysts for Cycloaddition of CO2 to Epoxides and Epoxidation of Alkenes
Authors: Cuesta‐Aluja Laia , Masdeu‐Bultó Anna M. 
Published: June 2016

AbstractFe(III) complexes with tridentate pyridine‐imine‐phenolato ligands differing in the chain length between the imine and pyridine groups (2‐methylpyridine L1 and 2‐ethylpyridine L2) have been synthesized. New complex [Fe(L2)2]ClO4 (2) was characterized by X‐ray diffraction and spectroscopic techniques. [Fe(L1)2]ClO4 (1) and 2 form active catalysts for the cycloaddition of CO2 to epoxides and for the epoxidation of alkenes. Catalytic systems with the more flexible skeleton (2) in combination with tetrabutylammonium bromide (TBAB) were more active than 1/TBAB in the cycloaddition of CO2 to epoxides. TOFs up to 900 h−1 for the selective synthesis of styrene carbonate and 3640 h−1 for the synthesis of glycidol carbonate were obtained using 2/TBAB at low catalyst loadings (0.025 mol %). Additionally, 2 was also active in the epoxidation of styrene derivatives such as trans‐stilbene (conversion 88 %) and trans‐β‐methylstyrene (conversion 100 %) using tert‐butylhydroperoxide as oxidant at 60 ºC in acetonitrile. Epoxidation of styrene and cyclohexene proceed at low conversions.
Brain big data processing with massively parallel computing technology: challenges and opportunities
Authors: Chen Dan , Hu Yangyang , Cai Chang , Zeng Ke , Li Xiaoli 
Published: June 2016

SummaryBrain data processing has been embracing the big data era driven by the rapid advances of neuroscience as well as the experimental techniques for recording neuronal activities. Processing of massive brain data has become a constant in neuroscience research and practice, which is vital in revealing the hidden information to better understand the brain functions and malfunctions. Brain data are routinely non‐linear and non‐stationary in nature, and existing algorithms and approaches to neural data processing are generally complicated in order to characterize the non‐linearity and non‐stationarity. Brain big data processing has pressing needs for appropriate computing technologies to address three grand challenges: (1) efficiency, (2) scalability and (3) reliability. Recent advances of computing technologies are making non‐linear methods viable in sophisticated applications of massive brain data processing. General‐purpose Computing on the Graphics Processing Unit (GPGPU) technology fosters an ideal environment for this purpose, which benefits from the tremendous computing power of modern graphics processing units in massively parallel architecture that is frequently an order of magnitude larger than the modern multi‐core CPUs. This article first recaps significant speed‐ups of existing algorithms aided by GPGPU in neuroimaging and processing electroencephalogram (EEG), functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG) and etc. The article then demonstrates a series of successful approaches to processing EEG data in various dimensions and scales in a massively parallel manner: (1) decomposition: a massively parallel Ensemble Local Mean Decomposition (ELMD) algorithm aided by GPGPU can decompose EEG series, which forms the basis of further time‐frequency transformation, in real‐time without sacrificing the precision of processing; (2) synchronization measurement: a parallelized Nonlinear Interdependence (NLI) method for global synchronization measurement of multivariate EEG with speed‐up of more than 1000 times, and it was successful in localization of epileptic focus; and (3) dimensionality reduction: a large‐scale Parallel Factor Analysis which excels in run‐time performance and scales far better by hundreds of times than conventional approach does, and it supports fast factorization of EEG with more than 1000 channels. Through these practices, the massively parallel computing technology manifests great potentials in addressing the grand challenges of brain big data processing. Copyright © 2016 John Wiley & Sons, Ltd.