bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contact pattern sensitivity and precision machine control in roll-to-roll microcontact printing
Authors: Petrzelka Joseph E. , Hale Melinda R. , Hardt David E. 
Published: March 2013

ABSTRACTScaling contact lithography (microcontact printing, microflexography, and nanoimprint lithography) to large roll-to-roll platforms will enable high speed, low cost lithographic patterning of surfaces. However, many details of robust implementations at the roll-to-roll scale remain an engineering challenge, including precise regulation of printing pressures and the stamp-substrate interaction. This paper introduces a method for precise control of contact pressure that can accommodate large dimensional variations, i.e. varying stamp and substrate thicknesses. This control algorithm is implemented on a simply supported roll positioning stage. Experimental results for microcontact printing and microflexography are shown both with in situ contact measurements on a pseudo substrate and with 5 um silver nanoparticle prints. Ultimately, this approach enables robust printing despite sensitive stamp patterns and large dimensional variations (> 10 μm) in substrates, stamps, and roll equipment.
Sintering of Inkjet-printed Cu-nanoparticle Ink in Ambient Conditions Using a Continuous Wave 808 nm Diode Laser
Authors: Halonen E. , Koskinen S. , Leino I. , Heljo P. , Mäntysalo M. 
Published: March 2013

ABSTRACTIn this paper, we focused on sintering of inkjet-printed copper nanoparticle ink structures using a continuous wave 808nm diode laser. Laser sintering in printed electronics is a rapid sintering method which enables localized sintering. Sintering of Cu inks is usually done in nitrogen atmosphere but the novelty of this study is that successful sintering of Cu ink was done under ambient conditions. The used ink consists of copper nanoparticles covered with a dispersion agent. Photonic sintering is needed to speed up the sintering process to prevent oxidation during sintering. Electrical and mechanical performance of the printed structures was analyzed. Resistivity of 10-12 μΩcm with good repeatability as well as excellent adhesion, were achieved.
Fabrication of large area nanogap electrodes for sensing applications
Authors: Bendavid A. , Wieczorek L. , Chai R. , Cooper J. S. , Raguse B. 
Published: March 2013

ABSTRACTA large area nanogap electrode fabrication method combinig conventional lithography patterning with the of focused ion beam (FIB) is presented. Lithography and a lift-off process were used to pattern 50 nm thick platinum pads having an area of 300μm × 300μm. A range of 30-300 nm wide nanogaps (length from 300μm to 10 mm ) were then etched using an FIB of Ga+at an acceleration voltage of 30 kV at various beam currents. An investigation of Ga+beam current ranging between 1-50 pA was undertaken to optimise the process for the current fabrication method. In this study, we used Monte Carlo simulation to calculate the damage depth in various materials by the Ga+. Calculation of the recoil cascades of the substrate atoms are also presented. The nanogap electrodes fabricated in this study were found to have empty gap resistances exceeding several hundred MΩ. A comparison of the gap length versus electrical resistance on glass substrates is presented. The results thus outline some important issues in low-conductance measurements. The proposed nanogap fabrication method can be extended to various sensor applications, such as chemical sensing, that employ the nanogap platform. This method may be used as a prototype technique for large-scale fabrication due to its simple, fast and reliable features.
Using Large Digital Data Sets to Improve the Accuracy of Reservoir Pressure Measurements
Authors: Fonseca Santiago Hässig 
Published: March 2013

Abstract
The abundance in digital calibration information can be leveraged through statistical mining to improve calibration methodologies in tool manufacturing. Unable to store massive data, historical tool metrology relied on easily processed, summary performance metrics. However, with modern computing power, more computationally expensive methods of large data sets can be used to refine tool and process metrology, accuracy, and reliability. Empirical data from large sets of quartz memory gauges suggest that tools are consistently outperforming the accuracy specification derived from historical static calibration. This paper presents an alternative metrological methodology that provides additional insight into the accuracy of calibrated gauges. An analytic framework based on the Satterthwaite confidence interval (CI) is developed using an unpaired sample t-test and simultaneous field measurements from five stable pressure segments are used to validate the predicted variances between gauges. The methodology significantly improves measurement accuracy and reliability and is applicable to any instrumentation that undergoes a consistent, repeatable, and linear calibration.
In addition to reevaluating existing tool specifications, the methodology can be integrated into metrological practices in the oil industry where large digital data sets and painstakingly accurate tools and calibration devices are commonly found. Presented are results from memory gauges, but by extension the method is applicable in other formation evaluation endeavors. The analytic framework predicts a factor of proportionality between the accuracy predicted by the CI and the traditional metrics of individually calibrated gauges. Specifically, a relationship is found between the 2-norm of the mean quadratic deviation (MQD) error of two individually calibrated pressure gauges. A case study of HPHT gauges in five well tests in the North Sea and India confirm analytic predictions. The paper focuses on quartz memory gauges and improves absolute and relative accuracies of HPHT gauges by over 33% and 56%, accordingly. Comparable analysis can be applied to other tools to better evaluate metrology. The converse method is useful to determine a process&#39; variance and bias — vital information to evaluate and compensate a facility, process, or device.
Probabilistic Well Time Estimation Using Operations Reporting Data
Authors: Codling J. , Leatherby J. 
Published: March 2013

Abstract
Probabilistic well time and cost forecasting models are widely used for estimating budgets for proposed well operations. These models are based on probabilistic simulations and require the input of the range of times for the proposed operations and the frequency of occurrence of problem time. The best source for this information is historical well data from operations in the same area and of a similar type.
Valuable well-operations time information is recorded using operation reporting systems and stored in relational databases. This information is difficult to extract and use in probabilistic well forecasts. The standard procedure is to manually extract the historical activities from offset well reports and to manually process them using spreadsheets, which can be time consuming.
This paper describes techniques for directly extracting the operation information and provides an approach to forecasting using probabilistic methods that makes it easy for the user to review the input data for planned operations in the Monte Carlo model. Methods for working out performance data for planned operations are also discussed, using the frequency of occurrence of unplanned operations, and a novel approach to statistical distributions that can be understood by operations engineers is presented.
The proposed methods reduce preparation time and improve the accuracy of the probabilistic well forecast.
Advanced Streaming Data Cleansing
Authors: Zheng Yingying , Qin S. Joe , Brenskelle Lisa A. 
Published: March 2013

Abstract
A frequent problem experienced throughout industry is that of missing or poor quality data in data historians. This can have various causes, such as field instrument failures, loss of communication, or even issues with the setup of the historian itself. The end result is that data required to perform analyses needed to improve facility operations may be unavailable. This generally incurs delays, as the data analyst must manually "clean up"the data before using it, or could even result in erroneous conclusions if the data is used as is without any corrections. In this paper, a novel multivariate statistical method is proposed to detect incorrect data values and reconstruct corrected values to be stored in the historian. This method works on streaming data, and thus makes its corrections continuously in near real-time. The method has been successfully tested in a laboratory setting using real operating data from a Chevron facility. Chevron plans to test the data error detection and reconstruction method in the field in the near future. Use of this method will ensure that good quality data for needed analyses is available in the data historian, and will save analyst time as well.
Improving Operations through Next Generation Analytics and Mobility
Authors: Landgren K. M. , Das J. A. , Abraham P. 
Published: March 2013

Abstract
New data management and analysis technology improves the capability to collect, manage, and analyze the large volumes of operational data needed to understand multiple aspects of operational performance, in a fully integrated way. New mobile technology supports collection of operational data during field operations and to display results at the operational sites. Predictive analytics gives new ways to optimize operations.
A case study has been performed using an analytic solution for understanding well production loss due to equipment failure and for understanding well workover profitability, based on integration of data from multiple sources. Mobile devices suitable for use in hazardous operating environments are used to collect operational data, including potentially hazardous safety conditions. Results include downtime reduction and timely decisions on service procurement for increasing well workover profitability.
Data Mining and Predictive Analytics Transforms Data to Barrels
Authors: Shirzadi S. , Ziegel E. , Bailey R. 
Published: March 2013

Abstract
BP's Field of the Future Technology Flagship is developing data-driven technologies that complement existing capabilities for reservoir management and operations. Widespread adoption of BP's proprietary wells and equipment real time surveillance and monitoring applications provides efficient workflows that deliver real time data to decision-makers. Data Analytics applications are transforming this data into information that will improve the management of operational risk, increase production and maximize both recovery and workforce efficiency. This paper describes our progress made in the areas of operational risk and increasing production and outlining our future activities.
So far we have created data-driven corrosion assessment tools and have developed new technology for virtual flow meters. Corrosion assessment is now able to evaluate the efficiency of our pipeline inspection programs. Following successful proof of concept and field trials, we will package this capability and deploy it globally as a standard workflow as soon as possible. Data-driven virtual flow meters are being implemented to provide a 3-phase metering capability. Better well and zonal flow allocation will improve reservoir management. Other soft sensors are being developed to create well diagnostic and prognostic capabilities for BP's real-time surveillance toolkit. This helps assets identify well work and optimization opportunities.
Future activities include new predictive technologies to increase recovery and reduce well-integrity risks. We are developing an innovative approach to diagnose and optimize waterflood performance designated as Top-Down Waterflood Diagnostics and Optimization. This novel approach combines BP's proprietary production event detection and association technology with visualization and parametric models that can quantify the subsurface connections between injectors and the producers. Successful trials have demonstrated how this can powerfully complement the conventional waterflood management and optimization workflows. In conjunction with other activities, the benefit to operations is derived from improving sweep efficiency so increasing recovery.
Use of data mining and predictive analytics for business intelligence has created significant value in finance, medicine, power generation, and other industries. BP now has an established, active program to bring the business intelligence approach into its E&P operations and particularly to its reservoir management.
The Spend-Save Decision: An Analysis of How Charities Respond to Revenue Changes
Authors: Jones Christopher L. , Kitching Karen A. , Roberts Andrea Alston , Smith Pamela C. 
Published: March 2013

SYNOPSIS:
We study how charities adjust spending when revenues change. Understanding the decision to spend or save revenues provides insights into management behavior and resource allocations. Our results indicate that, on average, the marginal change in overall spending is substantially less than the marginal change in revenue, indicating that charities smooth spending. Charities save a substantial portion of additional revenues and appear to mitigate reductions in revenues by using past savings, especially amounts saved in the previous year. We also find evidence that charities anticipate revenue declines and save for that purpose. Charities with fewer constraints, such as those with larger net assets and those with revenues from sources less likely to impose revenue spending restrictions, do more smoothing by adjusting spending less.
Data Availability: Data are publicly available.
Challenges and Opportunities in Cross-Country Accounting Research
Authors: Gordon Elizabeth A. , Greiner Adam , Kohlbeck Mark J. , Lin Steven , Skaife Hollis 
Published: March 2013

SYNOPSIS:
A concurrent session at the 2011 American Accounting Association Annual Meeting featured the panel discussion “Results, Challenges, and Opportunities in Cross-Country Accounting Research.” The panelists summarized major contributions from prior research in international settings, factors a researcher should consider when motivating and designing cross-country studies, and topical areas that could potentially contribute to future international accounting research. This paper summarizes the panelists' prepared remarks, develops a framework for designing cross-country research projects, and provides illustrations of the framework.
Bumps in the Road to IFRS Adoption: Is a U-Turn Possible?
Authors: Selling Thomas I. 
Published: March 2013

SYNOPSISIn this commentary, I address the question of adoption of International Financial Reporting Standards in the United States. I argue that ten claims made in support of IFRS adoption, by leading proponents in two recent speeches, should be rejected; and consequently, the Securities and Exchange Commission should have long ago made a “U-turn” on its related rulemaking proposal.
Switching to Sulphonylureas in Children With iDEND Syndrome Caused by KCNJ11 Mutations Results in Improved Cerebellar Perfusion
Authors: Fendler Wojciech , Pietrzak Iwona , Brereton Melissa F. , Lahmann Carolina , Gadzicki Mariusz , Bienkiewicz Malgorzata , Drozdz Izabela , Borowiec Maciej , Malecki Maciej T. , Ashcroft Frances M. , Mlynarski Wojciech M. 
Published: March 2013

OBJECTIVE
Activating mutations in the KCNJ11 gene, encoding the Kir6.2 subunit of the KATP channel, result in permanent neonatal diabetes mellitus. They also may cause neurologic symptoms such as mental retardation and motor problems (iDEND syndrome) and epilepsy (DEND syndrome). Sulphonylurea (SU) treatment is reported to alleviate both the neurologic symptoms and diabetes in such cases. The study aimed to establish the magnitude and functional basis of the effect of SUs on the neurologic phenotype in children with iDEND using neuroimaging before and after insulin replacement with glibenclamide.

RESEARCH DESIGN AND METHODS
To localize and quantify the effect of glibenclamide administration, we performed single-photon emission computed tomography in seven patients with different mutations in KCNJ11. In five patients, measurements before and after initiation of SU treatment were performed.

RESULTS
Significant changes in single-photon emission computed tomography signal intensity after transfer to SU therapy were restricted to the cerebellum, consistent with previous data showing high Kir6.2 expression in this brain region. Cerebellar perfusion improved for both left (P = 0.006) and right (P = 0.01) hemispheres, with the mean improvement being 26.7 ± 7.1% (n = 5). No patients showed deterioration of cerebellar perfusion on SU therapy. Electrophysiological studies revealed a good correlation between the magnitude of KATP channel dysfunction and the clinical phenotype; mutant channels with the greatest reduction in adenosine 5′-triphosphate inhibition were associated with the most severe neurologic symptoms.

CONCLUSIONS
We conclude it is likely that at least some of the beneficial effects of SU treatment on neurodevelopment in iDEND patients result from improved cerebellar perfusion.
The renaissance of the neuron doctrine: Cajal rebuts the Rector of Granada
Authors: Partsalis Agesilaos , Blazquez Pablo , Triarhou Lazaros 
Published: March 2013

AbstractThe Spanish histologist Santiago Ramón y Cajal and the Italian anatomist Camillo Golgi, who were jointly awarded the 1906 Nobel Prize in Physiology or Medicine for their discoveries on the structure of the nervous system, are two of the most notable figures in neuroscience. It was the’ Golgi method’ that enabled Cajal to gather evidence and defend neuronism (the contiguity of neurons as independent cellular units) against his chief rival’s reticularism (the intracellular continuity of the cytoplasm among neurons in a widespread reticulum). Seven months after his Nobel lecture in Stockholm, Cajal wrote a powerful article which he titled’ El renacimiento de la doctrina neuronal’ (the rebirth, revival, or renaissance of the neuron doctrine) as a response to an insurrection of reticularist ideas. This new wave of reticularism was instigated in Spain by the pathologist Eduardo García Solá, Rector of the University of Granada at the time, and stemmed from the interpretation of nerve regeneration experiments conducted by the German physiologist Albrecht von Bethe in Strassburg (today Strasbourg, France) and the Hungarian histologist Stephan von Apáthy in Kolozsvár (today Cluj-Napoca, Romania). Cajal’s article was hosted by four different journals (three in Spain and one in Argentina). It constitutes an important testimony for the history of the neuron theory that has gone unheeded thus far. Therefore, we provide an English translation of Cajal’s Spanish paper, placing it in the context of evolving notions during that first decade of the twentieth century crucial for neurobiology.
The role of neurotrophins in major depressive disorder
Authors: Jiang Cheng , Salton Stephen 
Published: March 2013

AbstractNeurotrophins and other growth factors have been advanced as critical modulators of depressive behavior. Support for this model is based on analyses of knockout and transgenic mouse models, human genetic studies, and screens for gene products that are regulated by depressive behavior and/or antidepressants. Even subtle alteration in the regulated secretion of brain-derived neurotrophic factor (BDNF), for example, due to a single nucleotide polymorphism (SNP)-encoded Val-Met substitution in proBDNF that affects processing and sorting, impacts behavior and cognition. Alterations in growth factor expression result in changes in neurogenesis as well as structural changes in neuronal cytoarchitecture, including effects on dendritic length and spine density, in the hippocampus, nucleus accumbens, and prefrontal cortex. These changes have the potential to impact the plasticity and stability of synapses in the CNS, and the complex brain circuitry that regulates behavior. Here we review the role that neurotrophins play in the modulation of depressive behavior, and the downstream signaling targets they regulate that potentially mediate these behavioral pro-depressant and antidepressant effects.
Diffusion MR imaging: How to get the maximum from the experimental time
Authors: Santis Silvia 
Published: March 2013

AbstractDiffusion-based MR imaging is the only non-invasive method for characterising the microstructural organization of brain tissue in vivo. Diffusion tensor MRI (DT-MRI) is currently routinely used in both research and clinical practice. However, other diffusion approaches are gaining more and more popularity and an increasing number of researchers express interest in using them concomitantly with DT-MRI. While non tensor-based methods hold great promises for increasing the specificity of diffusion MR imaging, including them in the experimental routine inevitably leads to longer experimental times. In most cases, this may preclude the translation of the full protocol to clinical practice, especially when these methods are to be used with subjects that are not compatible with long scanning sessions (e.g., with elderly and pediatric subjects who have difficulties in maintaining a fixed head position during a long imaging session).The aim of this review is to guide the end-users on obtaining the maximum from the experimental time allocated to collecting diffusion MRI data. This is done by: (i) briefly reviewing non tensor-based approaches; (ii) reviewing the optimal protocols for both tensor and non tensor-based imaging; and (iii) drawing the conclusions for different experimental times.
Reviews
Authors: McInnis Edgar , Woodhead  , Burpee Lawrence , Markon Robert 
Published: March 2013

S. D. Clark, The Social Developoment of Canada, reviewed by Edgar McInnis Bruce Hutchison, The Unknown Country, reviewed by Edgar McInnis G. M. A. Grube The Drama of Euripides, reviewed by W. D. Woodhead Samuel Eliot MorisonAdmiral of the Ocean Sea: A Life of Christopher Columbus, reviewed by Lawrence J. Burpee Dr. Kot Five Centuries of Polish Learning, reviewed by Robert L. Markon
Review Articles
Authors: Goudge  , Blissett William 
Published: March 2013

Sol Tax, ed., Evolution after Darwin, I. The Evolution of life: Its Origins, History, and Future,; II. The Evolution of Man: Mind, Culture, and Society; III. Issues of Evolution, reviewed by T.A. Goudge Jonas A. Barish, Ben jonson and the Language of Prose Comedy, reviewed by William Blissett Elizabethan and Jacobean Studies, reviewed by William Blissett Alvin Kernan, The Cankered Muse: Satire of the English Renaissance, reviewed by William Blissett Robert Ornstein, The Moral vision of Jacobean Tragedy, reviewed by William Blissett F.P. Wilson, Seventeenth Century Prose: Five Lectures, reviewed by William Blissett