bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perfume’s GAME
Authors: Michel Patrick  St. 
Published: April 2018

Released in 2008, J-pop trio Perfume’s GAME shot to the top of Japanese music charts and turned the Hiroshima trio into a household name across the country. It was also a high point for techno-pop, the genre’s biggest album since the heyday of Yellow Magic Orchestra. This collection of maximalist but emotional electronic pop stands as one of the style’s finest moments, with its influence still echoing from artists both in Japan and from beyond. This book examines Perfume’s underdog story as a group long struggling for success, the making of GAME, and the history of techno-pop that shaped it.
33 1/3 Global, a series related to but independent from 33 1/3, takes the format of the original series of short, music-basedbooks and brings the focus to music throughout the world. With initial volumes focusing on Japanese and Brazilian music, the series will also include volumes on the popular music of Australia/Oceania, Europe, Africa, the Middle East, and more.
High-resolution inversion of OMI formaldehyde columns to quantify isoprene emission on ecosystem-relevant scales: application to the southeast US
Authors: Kaiser Jennifer , Jacob Daniel J. , Zhu Lei , Travis Katherine R. , Fisher Jenny A. , González Abad Gonzalo , Zhang Lin , Zhang Xuesong , Fried Alan , Crounse John D. , St. Clair Jason M. , Wisthaler Armin 
Published: April 2018

Abstract. Isoprene emissions from vegetation have a large effect on
atmospheric chemistry and air quality. “Bottom-up” isoprene emission
inventories used in atmospheric models are based on limited vegetation
information and uncertain land cover data, leading to potentially large
errors. Satellite observations of atmospheric formaldehyde (HCHO), a
high-yield isoprene oxidation product, provide “top-down” information to
evaluate isoprene emission inventories through inverse analyses. Past inverse
analyses have however been hampered by uncertainty in the HCHO satellite
data, uncertainty in the time- and NOx-dependent yield of HCHO from
isoprene oxidation, and coarse resolution of the atmospheric models used for
the inversion. Here we demonstrate the ability to use HCHO satellite data
from OMI in a high-resolution inversion to constrain isoprene emissions on
ecosystem-relevant scales. The inversion uses the adjoint of the GEOS-Chem
chemical transport model at 0.25∘ × 0.3125∘
horizontal resolution to interpret observations over the southeast US in
August–September 2013. It takes advantage of concurrent NASA SEAC4RS
aircraft observations of isoprene and its oxidation products including HCHO
to validate the OMI HCHO data over the region, test the GEOS-Chem isoprene
oxidation mechanism and NOx environment, and independently evaluate the
inversion. This evaluation shows in particular that local model errors in
NOx concentrations propagate to biases in inferring isoprene emissions
from HCHO data. It is thus essential to correct model NOx biases, which
was done here using SEAC4RS observations but can be done more generally
using satellite NO2 data concurrently with HCHO. We find in our
inversion that isoprene emissions from the widely used MEGAN v2.1 inventory
are biased high over the southeast US by 40 % on average, although the
broad-scale distributions are correct including maximum emissions in
Arkansas/Louisiana and high base emission factors in the oak-covered Ozarks
of southeast Missouri. A particularly large discrepancy is in the Edwards
Plateau of central Texas where MEGAN v2.1 is too high by a factor of 3,
possibly reflecting errors in land cover. The lower isoprene emissions
inferred from our inversion, when implemented into GEOS-Chem, decrease
surface ozone over the southeast US by 1–3 ppb and decrease the isoprene
contribution to organic aerosol from 40 to 20 %.
The WASCAL high-resolution regional climate simulation ensemble for West Africa: concept, dissemination and assessment
Authors: Heinzeller Dominikus , Dieng Diarra , Smiatek Gerhard , Olusegun Christiana , Klein Cornelia , Hamann Ilse , Salack Seyni , Bliefernicht Jan , Kunstmann Harald 
Published: April 2018

Abstract. Climate change and constant population growth pose severe
challenges to 21st century rural Africa. Within the framework of the West
African Science Service Center on Climate Change and Adapted Land Use
(WASCAL), an ensemble of high-resolution regional climate change scenarios
for the greater West African region is provided to support the development of
effective adaptation and mitigation measures. This contribution presents the
overall concept of the WASCAL regional climate simulations, as well as
detailed information on the experimental design, and provides information on
the format and dissemination of the available data. All data are made
available to the public at the CERA long-term archive of the German Climate
Computing Center (DKRZ) with a subset available at the PANGAEA Data Publisher
for Earth &amp; Environmental Science portal
(https://doi.pangaea.de/10.1594/PANGAEA.880512). A brief assessment of
the data are presented to provide guidance for future users. Regional climate projections are generated at high (12 km) and intermediate
(60 km) resolution using the Weather Research and Forecasting Model (WRF).
The simulations cover the validation period 1980–2010 and the two future
periods 2020–2050 and 2070–2100. A brief comparison to observations and two
climate change scenarios from the Coordinated Regional Downscaling Experiment
(CORDEX) initiative is presented to provide guidance on the data set to
future users and to assess their climate change signal. Under the RCP4.5
(Representative Concentration Pathway 4.5) scenario, the results suggest an
increase in temperature by 1.5 ∘C at the coast of Guinea and by up
to 3 ∘C in the northern Sahel by the end of the 21st century, in
line with existing climate projections for the region. They also project an
increase in precipitation by up to 300 mm per year along the coast of
Guinea, by up to 150 mm per year in the Soudano region adjacent in the north
and almost no change in precipitation in the Sahel. This stands in contrast
to existing regional climate projections, which predict increasingly drier
conditions. The high spatial and temporal resolution of the data, the extensive list of
output variables, the large computational domain and the long time periods
covered make this data set a unique resource for follow-up analyses and
impact modelling studies over the greater West African region. The
comprehensive documentation and standardisation of the data facilitate and
encourage their use within and outside of the WASCAL community.
Root growth, water uptake, and sap flow of winter wheat in response to different soil water conditions
Authors: Cai Gaochao , Vanderborght Jan , Langensiepen Matthias , Schnepf Andrea , Hüging Hubert , Vereecken Harry 
Published: April 2018

Abstract. How much water can be taken up by roots and how this depends on the root and water distributions in the root zone are
important questions that need to be answered to describe water fluxes in the soil–plant–atmosphere
system. Physically based root water uptake (RWU) models that relate RWU to transpiration, root density, and water
potential distributions have been developed but used or tested far less. This study aims at evaluating the simulated RWU
of winter wheat using the empirical Feddes–Jarvis (FJ) model and the physically based Couvreur (C) model for different soil
water conditions and soil textures compared to sap flow measurements. Soil water content (SWC), water potential, and root
development were monitored noninvasively at six soil depths in two rhizotron facilities that were constructed in two soil
textures: stony vs. silty, with each of three water treatments: sheltered, rainfed, and irrigated. Soil and root parameters
of the two models were derived from inverse modeling and simulated RWU was compared with sap flow measurements for
validation. The different soil types and water treatments resulted in different crop biomass, root densities, and root
distributions with depth. The two models simulated the lowest RWU in the sheltered plot of the stony soil where RWU was
also lower than the potential RWU. In the silty soil, simulated RWU was equal to the potential uptake for all
treatments. The variation of simulated RWU among the different plots agreed well with measured sap flow but the C model
predicted the ratios of the transpiration fluxes in the two soil types slightly better than the FJ model. The root
hydraulic parameters of the C model could be constrained by the field data but not the water stress parameters of the FJ
model. This was attributed to differences in root densities between the different soils and treatments which are accounted
for by the C model, whereas the FJ model only considers normalized root densities. The impact of differences in root
density on RWU could be accounted for directly by the physically based RWU model but not by empirical models that use
normalized root density functions.
Cómo evaluar conocimientos y competencias en la resolución matemática de problemas en el contexto económico a través de rúbricas
Authors: Masero Moreno Inmaculada Concepción , Camacho Peñalosa María Enriqueta , Vázquez Cueto María José 
Published: April 2018

<p> El uso de nuevos instrumentos para la evaluación de conocimientos y competencias es un reto en la Educación Matemática a nivel universitario. Dentro del marco teórico de este artículo se abordan las rúbricas como una de las herramientas más adecuada para realizar una evaluación formativa. Esta adquiere sentido si se realizan tareas que faciliten tanto el aprendizaje como la evaluación. En este trabajo, se expone el perfil de las tareas de aprendizaje-evaluación a través de la resolución matemática de problemas en el contexto económico. A partir de las relaciones entre los conocimientos y las competencias a evaluar, se diseña una rúbrica en la que se detallan los criterios de evaluación y sus respectivos indicadores de logro para su uso como herramienta pedagógica. La ventaja de esta propuesta es que puede ser adaptada a cualquier otro contexto.</p>
Improving Winter Storm Forecasts With Observing System Simulation Experiments (OSSEs). Part 2: Evaluating a Satellite Gap With Idealized and Targeted Dropsondes
Authors: English Jason M. , Kren Andrew C. , Peevey Tanya R. 
Published: April 2018

AbstractNumerous satellites utilized in numerical weather prediction are operating beyond their nominal lifetime, and their replacements are not yet operational. We investigate the impacts of a loss of U.S.‐based microwave and infrared satellite data and the addition of dropsonde data on forecast skill by conducting Observing System Simulation Experiments with the European Centre for Medium‐range Weather Forecasts T511 Nature Run and the National Center for Environmental Prediction Global Forecast System Model. Removing all U.S.‐based microwave and infrared satellite data increases Global Forecast System analysis error, global forecast error, and forecast error during the first 36 hr of three winter storms that impact the United States. Data from Suomi National Polar‐orbiting Partnership contributes roughly one third of the total satellite impacts. Assimilating “idealized” dropsondes (sampling over a large region of the Pacific/Arctic Oceans) significantly improves global forecasts and forecasts for all three storms. Assimilating targeted dropsonde flight paths using the Ensemble Transform Sensitivity method for 15 verification dates/locations for the three storms improves roughly 80% of forecasts relative to the control and 50% of forecasts relative to their corresponding experiments without dropsondes. However, removing satellite data degrades only 30% of targeted domain forecasts relative to the control. These results suggest that targeted dropsondes cannot compensate for a gap in satellite data regarding global average forecasts but may be able to compensate for specific targeted storms. However, as with any study of specific weather events, results are variable and more cases are needed to conclude whether targeted observations—as well as satellite data—can be expected to improve forecasts of specific weather events.
In Situ Self‐Assembled Polyoxotitanate Cages on Flexible Cellulosic Substrates: Multifunctional Coating for Hydrophobic, Antibacterial, and UV‐Blocking Applications
Authors: Li Ning , Pranantyo Dicky , Kang En‐Tang , Wright Dominic S. , Luo He‐Kuan 
Published: April 2018

AbstractSurface coating is a powerful approach to fabricate multifunctional materials that are essential for numerous applications. However, to achieve such multifunctional coating with a facile single‐step procedure, especially on flexible substrates, is still a big challenge, as current fabrication protocols usually require sophisticated equipment and complicated procedures. Here, a novel coating technology involving in situ self‐assembly of the polyoxotitanate (POT) cage [Ti18Mn4O30(OEt)20Phen3] is reported to fabricate multifunctional cotton fabrics in a single step. The in situ generated spherical microparticles of 0.8 µm average diameter are firmly mounted on the underlying cotton substrate, imparting the coated surface with robust hydrophobicity (water contact angle of 148.1 ± 5.4°), antibacterial activity (against Escherichia coli, Staphylococcus epidermidis, and Staphylococcus aureus), and excellent UV‐blocking performance (89% blocked at 350 nm). This coating technology is efficient, straightforward, requires no specialized equipment, and most importantly, is readily extendable to other flexible substrates. Combined with the rapidly developing area of POT cages and similar molecular materials, the reported technology based on in situ self‐assembly holds great promise for further advancing the fabrication of multifunctional flexible devices via a single‐step coating operation.
Experimental Characterization of Microfabricated Thermoelectric Energy Harvesters for Smart Sensor and Wearable Applications
Authors: Dunham Marc T. , Barako Michael T. , Cornett Jane E. , Gao Yuan , Haidar Samer , Sun Nian , Asheghi Mehdi , Chen Baoxing , Goodson Kenneth E. 
Published: April 2018

AbstractMicrofabricated thermoelectric generators (µTEGs) are excellent candidates for sustainable power delivery for the next generation of smart sensors and wearable devices through harvesting of waste heat. However, the assembly process and inherently small contact areas for thermal and electrical transport introduce losses which can significantly reduce the effective figure of merit ZT. Further, the form factor of µTEGs makes these losses extremely challenging to quantify. The relative contributions of the thermoelectric film and interfaces greatly impact the choice of materials, device geometry, and maximum power point operation. A comprehensive study of µTEG devices including microfabrication, detailed modeling and optimization, and electrical, structural, and thermal characterization of modules and their constituent films is presented. Using a combination of novel infrared microscopy and thin‐film characterization techniques, the average thermoelectric material properties and the power output as a function of the true temperature difference across the device are isolated. Power outputs as high as 1 mW for a µTEG with 13.8 mm2 footprint and device ΔT of 7.3 K are measured. An order of magnitude reduction in figure of merit for the devices (ZT ≈ 0.03) compared to the constituent thermoelectric films (zT ≈ 0.3), with implications for the selection of maximum power point operation, is demonstrated.
A Spoof Surface Plasmon Transmission Line Loaded with Varactors and Short‐Circuit Stubs and Its Application in Wilkinson Power Dividers
Authors: Zhang Xuanru , Tang Wen Xuan , Zhang Hao Chi , Xu Jie , Bai Guo Dong , Liu Jun Feng , Cui Tie Jun 
Published: April 2018

AbstractA tunable spoof surface plasmon transmission line (SSP‐TL) is proposed and investigated, which is periodically loaded with varactors and short‐circuit stubs. Compared with the common SSP‐TL with open‐circuit stubs, the proposed SSP‐TL exhibits better compactness and higher tunability. The dispersion and impedance features are analyzed using the T‐matrix method. The proposed SSP‐TL can also be biased in a conventional microstrip bias circuit, and seamlessly integrated into microstrip circuits. As applications, a frequency‐reconfigurable and compact Wilkinson power divider is designed and fabricated using the proposed SSP‐TL as the λ/4 impedance transformer around 1 GHz, which is validated by both numerical and experimental results. It is shown that 35% (or 20%) frequency tunability is achieved in simulated (or measured) results, reducing the footprint to 46% of the conventional microstrip one.
A Novel Histochemical Staining Approach for Rare‐Earth‐Based Nanoprobes
Authors: Huang Jiayi , Hou Yi , Ma Tiancong , Zhang Peisen , Li Yingying , Liu Chunyan , Zhang Boyuan , Qiu Shanshan , Zeng Jianfeng , Gao Mingyuan 
Published: April 2018

AbstractRare‐earth (RE)‐based nanoparticles have exhibited broad potential applications in the biomedical field owing to their unique magnetic and optical properties. But until now, there has been no reliable histochemical staining method developed for probing the distribution of RE‐based nanoparticles in different organs and tissues, which is imperative for evaluating the targeting ability and safety profiles of RE‐based nanoparticles used as the diagnostic probe and the therapeutic agent. Herein, the authors propose a novel and effective staining approach for identifying RE‐based nanoprobes in tissues through unique chromogenic reactions between Chlorophosphonazo III and RE3+, which is independent of the element type. More importantly, a staining color analysis method based on the specific RGB range‐selective integration of the stained images is developed for establishing a quantitative relationship between the optical density and RE3+ concentration in the tissue slices.
Anti‐EpCAM Gold Nanorods and Femtosecond Laser Pulses for Targeted Lysis of Retinoblastoma
Authors: Katchinskiy Nir , Godbout Roseline , Hatef Ali , Elezzabi Abdulhakem Y. 
Published: April 2018

AbstractRetinoblastoma is a cancerous disease that affects the retina, and primarily affects young children. To date, the primary treatment goal of retinoblastoma is to save the child's life, while the preservation of the eye and its functionality are the secondary goals. Reoccurrence of tumors is mainly attributed to the persistence of cancer stem cells. EpCAM+ Y79 retinoblastoma cells behave like cancer stem cells and are recognized as cells that are resistant to treatment. We demonstrate an effective technique to treat retinoblastoma cancer cells, using femtosecond laser pulses and epithelial cell adhesion molecule (EpCAM)‐targeting gold nanorods (Au‐NRs). Complete assessment of the optimal laser parameters required for the development of a translational retinoblastoma cancer treatment is provided. Both an MTS cellular metabolism assay and a fluorescence viability assay demonstrate an astonishing cellular viability drop, to ≈10%. Right after laser irradiation the cellular membrane ruptures. Calculations and field‐emission scanning electron microscopy (FESEM) imaging show that Au‐NRs reach melting temperature after laser pulse exposure. Delivering femtosecond laser pulses directly onto the retina to treat retinoblastoma through the medium of the eye is possible without interacting with its compartments—making this treatment ideal for this type of cancer. This treatment methodology would be an invaluable tool for treatment of chemotherapy‐resistant and radiation‐resistant cancers.
Progress and Promise of Nitric Oxide‐Releasing Platforms
Authors: Yang Tao , Zelikin Alexander N. , Chandrawati Rona 
Published: April 2018

AbstractNitric oxide (NO) is a highly potent radical with a wide spectrum of physiological activities. Depending on the concentration, it can enhance endothelial cell proliferation in a growth factor‐free medium, mediate angiogenesis, accelerate wound healing, but may also lead to tumor progression or induce inflammation. Due to its multifaceted role, NO must be administered at a right dose and at the specific site. Many efforts have focused on developing NO‐releasing biomaterials; however, NO short half‐life in human tissues only allows this molecule to diffuse over short distances, and significant challenges remain before the full potential of NO can be realized. Here, an overview of platforms that are engineered to release NO via catalytic or noncatalytic approaches is presented, with a specific emphasis on progress reported in the past five years. A number of NO donors, natural enzymes, and enzyme mimics are highlighted, and recent promising developments of NO‐releasing scaffolds, particles, and films are presented. In particular, key parameters of NO delivery are discussed: 1) NO payload, 2) maximum NO flux, 3) NO release half‐life, 4) time required to reach maximum flux, and 5) duration of NO release. Advantages and drawbacks are reviewed, and possible further developments are suggested.
Functional MRI technologies in the study of medication treatment effect on Alzheimer's disease
Authors: Guo Hui , Grajauskas Lukas , Habash Baraa , D'Arcy Ryan CN , Song Xiaowei 
Published: April 2018

AbstractAlzheimer's disease (AD) is the most common cause of late‐life dementia. Characterized by progressive neurodegeneration, the disease is expressed as gradual memory loss together with decline in cognitive abilities and other brain functions. Despite extensive research over the past decade, the cause and cure of AD both remain largely unknown. Several AD‐associated deficits have been targeted for interventions, including those based on amyloid‐beta, tau, and inflammation hypotheses. Only 2 types of medications—cholinesterase inhibitors and memantine—have been approved, to control the cognitive symptoms of AD such as the loss of memory, language, and executive function. Noninvasive in vivo functional magnetic resonance imaging (MRI) technologies, including the blood oxygen level‐dependent functional MRI, arterial spin labeling‐based perfusion MRI, and the proton magnetic resonance spectroscopy have been used to study the effect of ChEIs and memantine in the brain. Most of these studies have demonstrated increased functional activation and connectivity, increased regional brain blood flow and volume post‐treatment, and positive responses of critical brain metabolites reflecting neuronal status and functionality in patients with AD and mild cognitive impairment. The findings have contributed to the understanding of the mechanisms underlying the medication treatments and support the crucial role of functional MRI technologies in the development and refinement of AD medication therapies.