bluuebunny/crossref_metadata_2025_split huggingface dataset:
A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder
Authors: Andrey-Andrés Javier , Fourrié Nadia , Guidard Vincent , Armante Raymond , Brunel Pascal , Crevoisier Cyril , Tournier Bernard 
Published: February 2018

Abstract. The highly accurate measurements of the hyperspectral Infrared Atmospheric
Sounding Interferometer (IASI) are used in numerical weather prediction
(NWP), atmospheric chemistry and climate monitoring. As the second generation
of the European Polar System (EPS-SG) is being developed, a new generation of
IASI instruments has been designed to fly on board the MetOp-SG
constellation: IASI New Generation (IASI-NG). In order to prepare the arrival
of this new instrument, and to evaluate its impact on NWP and atmospheric
chemistry applications, a set of IASI and IASI-NG simulated data was built
and made available to the public to set a common framework for future impact
studies. This paper describes the information available in this database and
the procedure followed to run the IASI and IASI-NG simulations. These
simulated data were evaluated by comparing IASI-NG to IASI observations. The
result is also presented here. Additionally, preliminary impact studies of
the benefit of IASI-NG compared to IASI on the retrieval of temperature and
humidity in a NWP framework are also shown in the present work. With
a channel dataset located in the same wave numbers for both instruments, we
showed an improvement of the temperature retrievals throughout the
atmosphere, with a maximum in the troposphere with IASI-NG and a lower benefit for the
tropospheric humidity.
Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps)
Authors: Förster Kristian , Hanzer Florian , Stoll Elena , Scaife Adam A. , MacLachlan Craig , Schöber Johannes , Huttenlau Matthias , Achleitner Stefan , Strasser Ulrich 
Published: February 2018

Abstract. This article presents analyses of retrospective seasonal forecasts of snow
accumulation. Re-forecasts with 4 months' lead time from two coupled
atmosphere–ocean general circulation models (NCEP CFSv2 and MetOffice
GloSea5) drive the Alpine Water balance and Runoff Estimation model (AWARE)
in order to predict mid-winter snow accumulation in the Inn headwaters. As
snowpack is hydrological storage that evolves during the winter season,
it is strongly dependent on precipitation totals of the previous months.
Climate model (CM) predictions of precipitation totals integrated from November to
February (NDJF) compare reasonably well with observations. Even though
predictions for precipitation may not be significantly more skilful than for
temperature, the predictive skill achieved for precipitation is retained in
subsequent water balance simulations when snow water equivalent (SWE) in
February is considered. Given the AWARE simulations driven by observed
meteorological fields as a benchmark for SWE analyses, the correlation
achieved using GloSea5-AWARE SWE predictions is r = 0.57. The tendency of SWE
anomalies (i.e. the sign of anomalies) is correctly predicted in 11 of
13 years. For CFSv2-AWARE, the corresponding values are r = 0.28 and 7 of
13 years. The results suggest that some seasonal prediction of hydrological model storage tendencies in parts of Europe is possible.
Severe non-exertional rhabdomyolysis from weight loss supplement in sickle cell trait: A perfect storm?
Authors: Olanipekun Titilope , Effoe Valery , Adeogun Ganiat , Gaertig Agniezka , White Myrtle , Haney Matthew 
Published: February 2018

Exertional rhabdomyolysis from sickle cell trait has been documented. Also, cases of rhabdomyolysis from the use of weight loss supplements in the setting of sickle cell trait and exertion have been described. However, the role of sickle cell trait in non-exertional rhabdomyolysis is not clear. We present a case of severe non-exertional rhabdomyolysis from weight loss supplement in a patient with sickle cell trait.A 45-year-old African American female with sickle cell trait presented to the emergency department with two days history of fatigue and mild breathlessness. She also reported diarrhea and vomiting for five days before presentation. She admitted to taking Garcinia cambogia (a dietary supplement) for weight loss one week prior to the onset of symptoms. She denied alcohol or drug use, rigorous physical activity or trauma.She was dehydrated on examination. Laboratory values revealed markedly elevated serum creatine phosphokinase (CPK) and creatinine levels. Garcinia cambogia was discontinued and she was hydrated with intravenous fluids. Her CPK and creatinine levels significantly trended down and she was discharged home with no apparent sequelae.Our patient had multiple episodes of diarrhea and vomiting likely from the use of Garcinia cambogia. We believe she suffered non-exertional rhabdomyolysis from dehydration in the setting of sickle cell trait. Though dietary weight loss supplements are marketed as generally safe, this case suggests otherwise. We emphasize that clinicians routinely inquire about use of these supplements and provide appropriate counseling to patients on the adverse effects, especially among those with sickle cell trait.
Working Community-Related Interaction Factors Building Occupational Well-Being – Learning Based Intervention in Finnish and Estonian Schools (2010–2013)
Authors: Laine Sari , Saaranen Terhi , Pertel Tiia , Hansen Siivi , Lepp Kadi , Liiv Krystiine , Tossavainen Kerttu 
Published: February 2018

This article examines whether a three-year learning-based work community intervention resulted in changes in working community-related interaction factors and occupational well-being among Finnish and Estonian school staff. It reports the types of changes in working community-related interaction factors and their associations to the subjective occupational well-being and general occupational well-being of the working community. The initial quantitative survey data were collected in Finland (n = 486) and Estonia (n = 1330) in 2010 using the “Well-being at your work index questionnaire.” The same measurement tool was used in 2013 to collect final survey data from school staff members in Finland (n = 545) and Estonia (n = 974). The data were analyzed statistically with percent, mean, SD, Mann-Whitney test, sum variables, one-way analysis of variance and Spearman’s correlation. Changes were detected in factors related to working community interaction; in particular, statistically significant changes in work management and time use were detected in Finnish schools. Working atmosphere and appreciation of others’ work, cooperation and information, and work management and time use were associated to both the subjective occupational well-being and general occupational well-being of the working community. Schools should plan and implement development activities to promote the subjective occupational well-being and general working community occupational well-being. Development work should focus on working community-related interaction, such as trust between workers. Principals should draw particular attention to principal–subordinate relationships and to providing information about changes.
Adaptieve beleidsontwikkeling: zoeken naar nieuwe vormen van beleidsanalyse voor de digitale overheid
Authors: Steunenberg Bernard 
Published: February 2018

Adaptieve beleidsontwikkeling: zoeken naar nieuwe vormen van beleidsanalyse voor de digitale overheid
De digitalisering van de samenleving heeft verschillende gevolgen voor de overheid en overheidsbeleid. Eén daarvan heeft betrekking op de manier waarop beleidsanalyse kan worden gebruikt. In deze bijdrage worden de mogelijkheden van meer adaptieve vormen van beleidsanalyse verkend, waarbij beleidsvoerders stap voor stap en op basis van informatie uit het beleidsproces proberen meer over de beleidsuitvoering te leren. Die vorm van beleidsanalyse, die op een aantal punten afwijkt van eerdere vormen, heeft gevolgen voor de organisatie van de overheid maar ook voor de wijze waarop het toezicht moet worden ingericht. Dat levert interessante vragen en spanningen op voor de ‘digitale’ overheid.
Beam profile assessment in spectral CT scanners
Authors: Anjomrouz Marzieh , Shamshad Muhammad , Panta Raj K. , Broeke Lieza Vanden , Schleich Nanette , Atharifard Ali , Aamir Raja , Bheesette Srinidhi , Walsh Michael F. , Goulter Brian P. , Bell Stephen T. , Bateman Christopher J. , Butler Anthony P. H. , Butler Philip H. 
Published: February 2018

AbstractIn this paper, we present a method that uses a combination of experimental and modeled data to assess properties of x‐ray beam measured using a small‐animal spectral scanner. The spatial properties of the beam profile are characterized by beam profile shape, the angular offset along the rotational axis, and the photon count difference between experimental and modeled data at the central beam axis. Temporal stability of the beam profile is assessed by measuring intra‐ and interscan count variations. The beam profile assessment method was evaluated on several spectral CT scanners equipped with Medipix3RX‐based detectors. On a well‐calibrated spectral CT scanner, we measured an integral count error of 0.5%, intrascan count variation of 0.1%, and an interscan count variation of less than 1%. The angular offset of the beam center ranged from 0.8° to 1.6° for the studied spectral CT scanners. We also demonstrate the capability of this method to identify poor performance of the system through analyzing the deviation of the experimental beam profile from the model. This technique can, therefore, aid in monitoring the system performance to obtain a robust spectral CT; providing the reliable quantitative images. Furthermore, the accurate offset parameters of a spectral scanner provided by this method allow us to incorporate a more realistic form of the photon distribution in the polychromatic‐based image reconstruction models. Both improvements of the reliability of the system and accuracy of the volume reconstruction result in a better discrimination and quantification of the imaged materials.
A Highly Stretchable Transparent Self‐Powered Triboelectric Tactile Sensor with Metallized Nanofibers for Wearable Electronics
Authors: Wang Xiandi , Zhang Yufei , Zhang Xiaojia , Huo Zhihao , Li Xiaoyi , Que Miaoling , Peng Zhengchun , Wang Hui , Pan Caofeng 
Published: February 2018

AbstractRecently, the quest for new highly stretchable transparent tactile sensors with large‐scale integration and rapid response time continues to be a great impetus to research efforts to expand the promising applications in human–machine interactions, artificial electronic skins, and smart wearable equipment. Here, a self‐powered, highly stretchable, and transparent triboelectric tactile sensor with patterned Ag‐nanofiber electrodes for detecting and spatially mapping trajectory profiles is reported. The Ag‐nanofiber electrodes demonstrate high transparency (>70%), low sheet resistance (1.68–11.1 Ω □−1), excellent stretchability, and stability (>100% strain). Based on the electrode patterning and device design, an 8 × 8 triboelectric sensor matrix is fabricated, which works well under high strain owing to the effect of the electrostatic induction. Using cross‐locating technology, the device can execute more rapid tactile mapping, with a response time of 70 ms. In addition, the object being detected can be made from any commonly used materials or can even be human hands, indicating that this device has widespread potential in tactile sensing and touchpad technology applications.
Regulating Higher‐Order Organization through the Synergy of Two Self‐Sorted Assemblies
Authors: Ji Wei , Zhang Shijin , Yukawa Sachie , Onomura Shogo , Sasaki Toshio , Miyazawa Kun'ichi , Zhang Ye 
Published: February 2018

AbstractThe extracellular matrix (ECM) is the natural fibrous scaffold that regulates cell behavior in a hierarchical manner. By mimicking the dynamic and reciprocal interactions between ECM and cells, higher‐order molecular self‐assembly (SA), mediated through the dynamic growth of scaffold‐like nanostructures assembled by different molecular components, was developed. Designed and synthesized were two self‐sorted coumarin‐based gelators, a peptide molecule and a benzoate molecule, which self‐assemble into nanofibers and nanobelts, respectively, with different dynamic profiles. Upon the dynamic growth of the fibrous scaffold assembled from peptide gelators, nanobelts assembled from benzoate gelators transform into a layer‐by‐layer nanosheet, reaching ninefold increase in height. By using light and an enzyme, the spatial–temporal growth of the scaffold can be modified, leading to in situ height regulation of the higher‐order architecture.
Time‐Dependent ATR‐FTIR Spectroscopic Studies on Fatty Acid Diffusion and the Formation of Metal Soaps in Oil Paint Model Systems
Authors: Baij Lambert , Hermans Joen J. , Keune Katrien , Iedema Piet 
Published: February 2018

AbstractThe formation of metal soaps (metal complexes of saturated fatty acids) is a serious problem affecting the appearance and structural integrity of many oil paintings. Tailored model systems for aged oil paint and time‐dependent attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectroscopy were used to study the diffusion of palmitic acid and subsequent metal soap crystallization. The simultaneous presence of free saturated fatty acids and polymer‐bound metal carboxylates leads to rapid metal soap crystallization, following a complex mechanism that involves both acid and metal diffusion. Solvent flow, water, and pigments all enhance metal soap crystallization in the model systems. These results contribute to the development of paint cleaning strategies, a better understanding of oil paint degradation, and highlight the potential of time‐dependent ATR‐FTIR spectroscopy for studying dynamic processes in polymer films.
Assessment of the ability of poly(l‐lysine)–poly(ethylene glycol) (PLL–PEG) hydrogels to support the growth of U87‐MG and F98 glioma tumor cells
Authors: Gontran Emilie , Juchaux Marjorie , Deroulers Christophe , Kruglik Sergei , Huang Nicolas , Badoual Mathilde , Seksek Olivier 
Published: February 2018

ABSTRACTBiomaterials that provide 3D‐like in vitro cell survival and proliferation are increasingly used to mimic the extracellular microenvironment in the context of a better understanding of tumorigenesis. In this study, a simple, affordable and fast technique to fabricate hydrogel matrices composed of poly(ethylene glycol) (PEG) and poly(l‐lysine) (PLL) (as cell‐adhesive factor) were used to provide in vitro glioma cell growth. After UV photopolymerization of a precursor solution containing PEG‐diacrylate and easily obtainable PLL‐acrylate derivatives, F98 and U87‐MG cells (rat and human glioblastoma cell lines, respectively) were grown on top of different substrates that consist of combinations of PEG/PLL hydrogels and spontaneously formed cell aggregates of homogeneous sizes. Depending on the cell type, PEG and PLL concentrations, the cell aggregates patterns were different. The optimal combination to obtain cell survival and proliferation for both cell lines was determined as 3% PEG (w/v) and 0.001% PLL (w/v). This technique was also used to assess the efficacy of temozolomide and should be adaptable to other cancer cell lines to follow pseudo‐tumor growth in vitro. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46287.
Effect of flake size on thermal properties of graphene oxide/poly(methyl methacrylate) composites prepared via in situ polymerization
Authors: Zhu Guangda , Ding Yong , Zhao Dan , Jiang Yu , Zheng Junping 
Published: February 2018

ABSTRACTThe effect of graphene oxide (GO) flake size on thermal properties of GO/poly(methyl methacrylate) (GO/PMMA) composites prepared via in situ polymerization was investigated. Two styles of GO sheets were synthesized from different sizes of graphite powders by modified Hummers' method and GO/PMMA composites with GO of different sizes were prepared via in situ polymerization. Transmission electron microscopy verified that GO sheets produced from large graphite powders was obviously larger than that from small graphite powders. The similar number of layers and disorder degree of two types of GO sheets were proved by X‐ray diffraction and Raman, respectively. X‐ray diffraction and scanning electron microscopy results of GO/composites proved the homogenous dispersion of both two types of GO sheets in polymer matrix. Dynamic mechanical analysis and thermogravimetric analysis results showed that large GO sheets exhibit better improvement than small GO sheets in thermal properties of the composites. Compared with neat PMMA, the glass transition temperature and decomposition temperature of the composites with large GO sheets (0.20 wt %) were increased by 15.9 and 25.9 °C, respectively. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46290.
CCR5 RNA Pseudoknots: Residue and Site‐Specific Labeling correlate Internal Motions with microRNA Binding
Authors: Chen Bin , Longhini Andrew P. , Nußbaumer Felix , Kreutz Christoph , Dinman Jonathan D. , Dayie T. Kwaku 
Published: February 2018

AbstractConformational dynamics of RNA molecules play a critical role in governing their biological functions. Measurements of RNA dynamic behavior sheds important light on sites that interact with their binding partners or cellular stimulators. However, such measurements using solution‐state NMR are difficult for large RNA molecules (>70 nt; nt=nucleotides) owing to severe spectral overlap, homonuclear 13C scalar couplings, and line broadening. Herein, a strategic combination of solid‐phase synthesis, site‐specific isotopic labeled phosphoramidites, and enzymatic ligation is introduced. This approach allowed the position‐specific insertion of isotopic probes into a 96 nt CCR5 RNA fragment. Accurate measurements of functional dynamics using the Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion (RD) experiments enabled extraction of the exchange rates and populations of this RNA. NMR chemical shift perturbation analysis of the RNA/microRNA‐1224 complex indicated that A90‐C1′ of the pseudoknot exhibits similar changes in chemical shift observed in the excited state. This work demonstrates the general applicability of a NMR‐labeling strategy to probe functional RNA structural dynamics.
A Synthetic Approach for the Rapid Preparation of BODIPY Conjugates and their use in Imaging of Cellular Drug Uptake and Distribution
Authors: Krajcovicova Sona , Stankova Jarmila , Dzubak Petr , Hajduch Marian , Soural Miroslav , Urban Milan 
Published: February 2018

AbstractA solid‐phase synthetic (SPS) method was developed for the preparation of BODIPY‐labeled bioactive compounds that allows for fast and simple synthesis of conjugates for use in fluorescent microscopy. The approach was used to visualize cellular uptake and distribution of cytotoxic triterpenes in cancer cells.
Dianionic Carbon‐Bridged Scandium–Copper/Silver Heterobimetallic Complexes: Synthesis, Bonding, and Reactivity
Authors: Wang Chen , Xiang Li , Yang Yan , Fang Jian , Maron Laurent , Leng Xuebing , Chen Yaofeng 
Published: February 2018

AbstractAlkylidene‐bridged scandium–copper/silver heterobimetallic complexes were synthesized and structurally characterized. The complexes contain different Sc−C and M−C (M=CuI, AgI) bonds. The reactivity of the scandium–copper heterobimetallic complex was also studied, which reveals that the heterobimetallic complex is a reaction intermediate for the transmetalation of akylidene group from ScIII to CuI. The scandium–copper heterobimetallic complex also undergoes an addition reaction with CO, resulting in the formation of a new C=C double bond. DFT calculations were used to study the bonding and the subsequent reactivity with CO of the scandium–copper heterobimetallic complex. It clearly demonstrates a cooperative effect between the two metal centers through the formation of a direct Sc⋅⋅⋅Cu interaction that drives the reactivity with CO.
Three‐Coordinate Boron(III) and Diboron(II) Dications
Authors: Franz Daniel , Szilvási Tibor , Pöthig Alexander , Deiser Franziska , Inoue Shigeyoshi 
Published: February 2018

AbstractThe enhanced electron‐donor properties of the bulky bisimino ligand 1,2‐(LMesN)2‐C2H4 (1; LMes=1,3‐bis(mesityl)‐imidazolin‐2‐ylidene), mesityl=2,4,6‐trimethylphenyl) were exploited for the stabilization of elusive electron‐deficient and low‐coordinate boron dication species. The reaction of 1 with PhBBr2 or (B(Cl)NMe2)2 afforded a dicationic mononuclear boron(III) complex or a dicationic dinuclear boron(II) complex, respectively (42+, 62+). The bonding situations of 42+ and 62+ were examined by means of single crystal X‐ray diffraction analysis, as well as theoretical methods. Significant allocation of positive charge density into the ligand system was diagnosed for both dications. However, the metalloid‐centered Lewis acidity of the dications was confirmed via hydride transfer reactions.
Coarse grid simulation of the hydrodynamics of binary gas‐solid flow in CFB risers
Authors: Qin Zhiyuan , Wang Junwu 
Published: February 2018

AbstractCFD simulation has become an effective way to study the mixing and segregation characteristics of gas‐solid flow in CFB risers, which is important for the proper operation and design of such reactors. In this study, the numerical solution of a recently developed EMMS drag model for binary gas‐solid flow which considers the effect of particle clustering structures on the interphase drag forces was first improved, it was then coupled with a multifluid model to perform extensive 3D simulations of the mixing and segregation pattern of binary gas‐solid flow in CFB risers. It was shown that the experimental data of axial solid concentration profiles and radial solid mass flux distributions can be captured reasonably by the combined EMMS‐multifluid model, indicating that the model is able to reproduce the hydrodynamics of complex gas‐solid flow with particle size distribution.
Exploring the Relationship between External Positive–Negative Pressures and the Carbon Management Behaviour of Industrial Firms
Authors: Liu Yong 
Published: February 2018

AbstractIndustrial firms’ carbon management has been challenged by a multitude of pressures requiring measures and assessments. The present study proposes differential relationships between positive and negative pressures and firms’ carbon management behaviour, as moderated by firm size. Employing a case study methodology with interviews in China, this research indicated that positive pressures, particularly from markets and communities, were positively linked with high scores in carbon management behaviour by fostering firm attentiveness and negatively linked with low scores. Negative pressures, such as government regulations, were positively linked with low scores in carbon management behaviour by fostering annoyance and firm burnout. Moreover, firm size moderated the relationship between positive pressures and carbon management behaviour; however, size did not moderate the relationship between negative pressures and carbon management behaviour. This finding suggests that policymakers might benefit from increasing positive pressures when they seek to strengthen firms’ carbon management abilities and remove hindrances. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment