gebhart/patrepeval huggingface dataset:
Selective Darkening Filter and Welding Arc Observation for the Manual Welding Process (2011)

An optical see-through LCD (GLCD) with a resolution of n x m pixels gives the ability to selectively control the darkening in the welders view. The setup of such a Selective Auto Darkening Filter is developed and its applicability tested. The setup is done by integrating a camera into the welding operation for extracting the welding arc position properly. A prototype of a GLCD taylored for welding is mounted in the welder's view. The extraction of the welding arc position requires an enhanced video acquisition during welding. The observation of scenes with high dynamic contrast is an outstanding problem which occurs if very high differences between the darkest and the brightest spot in a scene occur. The application to welding with its harsh conditions needs the development of supporting hardware. The synchronization of the camera with the flickering light conditions of pulsed welding processes in Gas Metal Arc Welding (GMAW) stabilizes the acquisition process and allows the scene to be flashed precisely if required by compact high power LEDs. The image acquisition is enhanced by merging two different exposed images for the resulting image. These source images cover a wider histogram range than it is possible by using only a single shot image with optimal camera parameters. After testing different standard contrast enhancement algorithm a novel content based algorithm is developed. It segments the image into areas with similar content and enhances these independently.
SmartDelay Determined AV Optimization: A Comparison of AV Delay Methods Used in Cardiac Resynchronization Therapy (SMART-AV): Rationale and Design (2009)

SMART-AV is a randomized, clinical trial designed to evaluate three different methods of AV delay optimization to determine whether systematic AV optimization is beneficial for patients receiving CRT for 6 months post-implant.
Glacier meltwater and runoff modelling, Keqicar Baqi glacier,southwestern Tien Shan, China (2007)

Abstract Meltwater and runoff from Keqicar Baqi glacier, a large glacier in the southwestern Tien Shan, northwestern China, are simulated using a modified degree-day model including potential clear- sky direct solar radiation, coupled with a linear reservoir model for the period 1 July to 12 September 2003. There is good agreement between modelled and measured meltwater at ablation stakes and between simulated and observed runoff at the glacier terminus. A reconstruction of glacier meltwater and runoff from an assumed debris-free surface during the study period shows that the effect of the debris layer on glacier meltwater generation crucially affects glacier runoff. The model is also used to calculate glacier runoff given the climate scenario resulting from a doubling of CO 2 as projected by the ReCM2 regional climate model. The projected changes in temperature and precipitation vary from 0 to 2.7°C and from 0 to 25%, respectively. Results indicate that glacier runoff increases linearly with temperature over these ranges whether or not the debris layer is taken into consideration. The effect of change in temperature is much more noticeable than that for change in precipitation. Due to the debris layer predominantly covering (and insulating) the ablation area, the response of glacier runoff is less sensitive to temperature increase with a debris-covered surface than with a debris-free surface. Glacier runoff is also markedly reduced when a reduced glacier area is prescribed in the +2.7°C scenario.
<b>Removal of lead(II) ions from aqueous solutions using activated carbon from <i>Militia ferruginea</i> plant leaves</b> (2008)

The adsorption of lead(II) on to activated carbon developed from an indigenous Ethiopian medicinal plant leaves namely Birbira (Militia ferruginea) was investigated to assess the possible use of this adsorbent. The influences of contact time, adsorbent dose, Pb(II) concentration, pH and temperature on adsorption were investigated. The maximum adsorption took place at 3 h. at a dose of 4.0 g of adsorbent, and 97.3 % of Pb2+ adsorption at pH of 4.0. The amount of lead ion adsorbed per gram of the adsorbent increased with decreasing concentration of Pb2+. The percentage of adsorption had increased with the increasing temperature. The positive value of ∆H indicated that the adsorption of lead ions on the adsorbent was an endothermic process. The values of free energy (∆G) were negative as expected for a spontaneous process. The decrease in ∆G value with increasing temperature revealed that adsorption of the ion on the adsorbent became favorable at a higher temperature. The calculated value of ∆H was 25.05 kJ mol–1, ∆S was 135.48 JK-1 mol-1 and ∆G was also calculated for each temperature. The two theoretical adsorption isotherms, namely, Langmuir and Freundlich were used to describe the experimental results. The Freundlich adsorption isotherm best fits and adsorption capacity was calculated to be 3.3 mg of Pb(II) per g of adsorbent. The adsorption followed the first order kinetics and was found to be pH dependent being maximum at pH 4.0. The pH effect and desorption studies showed that ion exchange mechanism might be involved in the adsorption process. Reuse of the desorbed bio-adsorbent is possible. The effect of foreign ions on the removal of Pb(II) has been investigated. The removal of Pb(II) from industrial wastewater sample was also tested and showed that more than 97 % removal was possible. The results showed that activated carbon prepared from Birbira (Militia ferruginea) leaves could be used for the removal of Pb(II) from wastewater. KEY WORDS: Industrial wastewater, Lead removal, Adsorbent, Militia ferruginea  Bull. Chem. Soc. Ethiop. 2008, 22(3), 349-360.
Survival and Antibody Response of Channel Catfish, Blue Catfish, and Channel Catfish Female × Blue Catfish Male Hybrids after Exposure to<i>Edwardsiella ictaluri</i> (1996)

Juvenile Norris strain channel catfish Ictalurus punctatus, blue catfish I. furcatus, and Norris strain channel catfish female × blue catfish male hybrids were challenged with Edwardsiella ictaluri by bath immersion or intraperitoneal injection (high or low dose) in aquaria. Survival (%) after bath immersion was highest for blue catfish (89.5 ± 2.8), intermediate for hybrids (73.8 ± 6.7), and lowest for channel catfish (62.0 ± 4.2). Prechallenge antibody levels to E. ictaluri, measured by enzyme-linked immunosorbent assay, were negative (mean ± SE optical density [OD] = 0.010 ± 0.003). Postchallenge antibody response for blue catfish (OD = 0.132 ± 0.045) was significantly lower than that of channel catfish (OD = 0.350 ± 0.045), whereas the response of the channel × blue catfish F1 hybrids (OD = 0.263 ± 0.051) was intermediate and not significantly different from either parental species. Intraperitoneal injections of E. ictaluri resulted in significant mortality only in channel catfish (88.3 ± 2.6% survival) and were sublethal to hybrid catfish and blue catfish with 100.0% and 99.3 ± 0.4% survival, respectively. Antibody responses after the injection challenge were significantly different among catfish groups and injection dose with no group × dose interaction. Antibody responses after the injection challenge were consistent with the immersion challenge, and means of high and low challenge doses were lowest in blue catfish (OD = 0.061 ± 0.014), intermediate in hybrids (OD = 0.187 ± 0.014), and highest in channel catfish (OD = 0.272 ± 0.014). For all fish groups combined, the high injection challenge dose resulted in higher antibody levels (OD = 0.206 ± 0.011) than low injection challenge dose (OD = 0.140 ± 0.012). Overall results indicate greater resistance to E. ictaluri and lower antibody response in blue catfish, and show the potential to identify molecular markers linked with disease resistance and introgression of resistance genes from blue catfish into channel catfish.
CYP90C1 and CYP90D1 are involved in different steps in the brassinosteroid biosynthesis pathway in <i>Arabidopsis thaliana</i> (2005)

Brassinosteroids (BRs) are plant hormones that are essential for a wide range of developmental processes in plants. Many of the genes responsible for the early reactions in the biosynthesis of BRs have recently been identified. However, several genes for enzymes that catalyze late steps in the biosynthesis pathways of BRs remain to be identified, and only a few genes responsible for the reactions that produce bioactive BRs have been identified. We found that the ROTUNDIFOLIA3 (ROT3) gene, encoding the enzyme CYP90C1, which was specifically involved in the regulation of leaf length in Arabidopsis thaliana, was required for the late steps in the BR biosynthesis pathway. ROT3 appears to be required for the conversion of typhasterol to castasterone, an activation step in the BR pathway. We also analyzed the gene most closely related to ROT3, CYP90D1, and found that double mutants for ROT3 and CYP90D1 had a severe dwarf phenotype, whereas cyp90d1 single knockout mutants did not. BR profiling in these mutants revealed that CYP90D1 was also involved in BR biosynthesis pathways. ROT3 and CYP90D1 were expressed differentially in leaves of A. thaliana, and the mutants for these two genes differed in their defects in elongation of hypocotyls under light conditions. The expression of CYP90D1 was strongly induced in leaf petioles in the dark. The results of the present study provide evidence that the two cytochrome P450s, CYP90C1 and CYP90D1, play distinct roles in organ-specific environmental regulation of the biosynthesis of BRs.
Dimethoxypropane Induced Transesterification of Fats and Oils in Preparation of Methyl Esters for Gas Chromatographic Analysis. (1964)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDimethoxypropane Induced Transesterification of Fats and Oils in Preparation of Methyl Esters for Gas Chromatographic Analysis.M. E. Mason and G. R. WallerCite this: Anal. Chem. 1964, 36, 3, 583–586Publication Date (Print):March 1, 1964Publication History Published online1 May 2002Published inissue 1 March 1964https://pubs.acs.org/doi/10.1021/ac60209a008https://doi.org/10.1021/ac60209a008research-articleACS PublicationsRequest reuse permissionsArticle Views317Altmetric-Citations184LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Perfusion MRI detects rCBF abnormalities in early stages of HIV–cognitive motor complex (2000)

Our results are consistent with previous findings from PET and SPECT studies. Furthermore, pMRI can detect rCBF abnormalities that correlate with disease severity in HIV-CMC. Because pMRI is more cost-effective, faster, and safer than nuclear medicine techniques for monitoring rCBF changes, pMRI may be more feasible for monitoring the effects of therapy for HIV-CMC.
Research Article: Computer‐Assisted Design of Pro‐drugs for Antimalarial Atovaquone (2010)

Density Functional Theory (DFT) and ab initio calculation results for the proton transfer reaction in Kirby's enzyme models 1-6 reveal that the reaction rate is largely dependent on the existence of a hydrogen bonding net in the reactants and the corresponding transition states. Further, the distance between the two reacting centers and the angle of the hydrogen bonding formed along the reaction path has profound effects on the rate. Hence, the study on the systems reported herein could provide a good basis for designing antimalarial (atovaquone) pro-drug systems that can be used to release the parent drug in a controlled manner. For example, based on the calculated log EM, the cleavage process for pro-drug 1Pro may be predicted to be about 10¹¹ times faster than that for a pro-drug 4Pro and about 10⁴ times faster than pro-drug 2Pro: rate (1Pro) > rate (2Pro > rate (4Pro). Thus, the rate by which the pro-drug releases the antimalarial drug can be determined according to the nature of the linker (Kirby's enzyme model 1-6).
SEM-contour based mask modeling (2008)

With the push toward the 32nm node, OPC modeling must respond in kind with additional accuracy enhancements. One area of lithographic modeling that has basically gone unchecked is mask fidelity. Mask linearity is typically built into the OPC model since the calibration data contain this information, but mask pattern fidelity is almost impossible to quantify for OPC modeling. Mask fidelity is the rounding and smoothing of the mask features relative to the post-OPC layout intent, and there is no robust metric available to quantify these effects. With the introduction of contour-based model calibration, mask fidelity modeling is possible. This work evaluates techniques to quantify mask modeling and methods to gauge the accuracy improvement that mask fidelity modeling would project into the lithographic process using contour-based mask model calibration.
The effects of detector material and structure on PET spatial resolution and efficiency (1990)

Many annihilation photons undergo one or more Compton interactions in PET (positron emission tomography) scintillation crystals before being absorbed photoelectrically or escaping from the crystal. Only the site of the first interaction is on the original trajectory and expresses the exact localization of the annihilation. In larger crystals or block detectors the light from all scintillations appears to originate from the centroid of all interactions. The number of interactions and tangential component of the mean square distance between the centroid and the point of first interaction have been simulated using Monte Carlo techniques. This blurring component is 0.73 mm for 511-keV gamma rays in BGO and 1.4 mm for NaI crystals which are 30 mm deep and 50 mm wide. This error is small for BGO crystals compared with the quantization implied by allocating each detection to one 5-6-mm-wide crystal of an encoded block.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Sentiment and topic analysis on social media (2013)

Both sentiment analysis and topic classification are frequently used in customer care and marketing. They can help people understand the brand perception and customer opinions from social media, such as online posts, tweets, forums, and blogs. As such, in recent years, many solutions have been proposed for both tasks. However, we believe that the following two problems have not been addressed adequately: (1) Conventional solutions usually treat the two tasks in isolation. When the two tasks are closely related (e.g., posts about "customer care" often have a "negative" tone), exploring their correlation may yield a better accuracy; (2) Each post is usually assigned with only one sentiment label and one topic label. Since social media is, compared to traditional document corpus, more noisy, ambiguous, and sparser, single label classification may not be able to capture the post classes accurately. To address these two problems, in this paper, we propose a multi-task multi-label (MTML) classification model that performs classification of both sentiments and topics concurrently. It incorporates results of each task from prior steps to promote and reinforce the other iteratively. For each task, the model is trained with multiple labels so that they can help address class ambiguity. In the empirical validation, we compare the accuracy of MTML model against four competing methods in two different settings. Results show that MTML produces a much higher accuracy of both sentiment and topic classifications.
Reversible Conversion of Monomeric Human Prion Protein Between Native and Fibrilogenic Conformations (1999)

Prion propagation involves the conversion of cellular prion protein (PrPC) into a disease-specific isomer, PrPSc, shifting from a predominantly alpha-helical to beta-sheet structure. Here, conditions were established in which recombinant human PrP could switch between the native alpha conformation, characteristic of PrPC, and a compact, highly soluble, monomeric form rich in beta structure. The soluble beta form (beta-PrP) exhibited partial resistance to proteinase K digestion, characteristic of PrPSc, and was a direct precursor of fibrillar structures closely similar to those isolated from diseased brains. The conversion of PrPC to beta-PrP in suitable cellular compartments, and its subsequent stabilization by intermolecular association, provide a molecular mechanism for prion propagation.
Query Processing using Negative Tuples in Stream Query Engines (2004)

The concept of Negative Tuples (or delete tuples) has been adopted widely in data stream management systems to evaluate continuous sliding-window queries incrementally. The main idea is to produce a negative tuple for each expired tuple from the sliding window. Thus, various query operators can update their state based on the expired tuples. Negative tuples avoid the non-deterministic output delays that result from the commonly used input-triggered approach. However, negative tuples double the number of tuples through the query pipeline, thus reducing the pipeline bandwidth. In this paper, we put the negative tuples under a mag-nifying glass where we show its detailed realization in terms of its generation and its processing in various operators. Then, we present several optimization techniques that aim to reduce the overhead of the negative tuples approach. These optimizations can be applied independently or together to enhance the performance of negative tuples. A detailed experimental study, based on a prototype system implementation, shows the performance gains over the input-triggered approach of the negative tuples approach when accompanied with the proposed optimizations.
Control of Lineage-Specific Gene Expression by Functionalized gRNA Barcodes (2018)

Lineage tracking delivers essential quantitative insight into dynamic, probabilistic cellular processes, such as somatic tumor evolution and differentiation. Methods for high diversity lineage quantitation rely on sequencing a population of DNA barcodes. However, manipulation of specific individual lineages is not possible with this approach. To address this challenge, we developed a functionalized lineage tracing tool, Control of Lineages by Barcode Enabled Recombinant Transcription (COLBERT), that enables high diversity lineage tracing and lineage-specific manipulation of gene expression. This modular platform utilizes expressed barcode gRNAs to both track cell lineages and direct lineage-specific gene expression.
A Spatiotemporal Analysis of Aspen Decline in Southern Utah’s Cedar Mountain, Using Remote Sensing and Geographic Information Systems (2021)

Widespread mortality of quaking aspen (Populus tremuloides Michx.) has occurred over large expanses of the Western US during the 20th century. While much of this decline was due to conifer encroachment into seral aspen, significant aspen losses also occurred in areas of persistent aspen and may have been exasperated by drought conditions. Aspen decline has been especially notable at Cedar Mountain, Utah, an area of mostly private land and extensive persistent aspen coverage. The objectives of this study were to create a time series of live and dead aspen cover on the Cedar Mountain landscape, using remotely sensed imagery, and to test whether water stress correlated to the decline therein. To accomplish these objectives, a decision tree classifier was used to classify the Cedar Mountain area into live and dead aspen cover classes for the years 1985, 1990, 1995, 2001, 2005, and 2008. Thereafter, post-classification change analysis was performed to determine areas and time periods of elevated decline. Regression analyses were performed to ascertain correlations between climatic data and percent change in aspen cover. A topographic analysis using zonal statistics was also performed to determine landscape positions where aspen decline is more prevalent. The time series models indicated that aspen decline followed a step-wise pattern with an overall decrease of 23.57 % in aspen cover during a 23-year period. Considerable aspen decline occurred early in the study time frame, with decreases of 1.38 and 1.36 -1 in 1990 and 1995, respectively. The middle period between 1995 and 2001 had no net change in aspen cover. However, the end of the time series showed the greatest decline with decreases of 1.56 and 1.99 % yr-1 in 2005 and 2008, respectively. There was a correlation between percent change in aspen cover and precipitation, suggesting that drought weakens aspen, making it susceptible to future decline. The topographic zonal statistics revealed that drier landscape positions had greater frequencies of dead aspen. The most significant predictor of aspen decline was elevation, which was significantly greater in the live aspen for three of the five years.
In-situ observation for growth of hierarchical metal-organic frameworks and their self-sequestering mechanism for gas storage (2015)

Although structures with the single functional constructions and micropores were demonstrated to capture many different molecules such as carbon dioxide, methane, and hydrogen with high capacities at low temperatures, their feeble interactions still limit practical applications at room temperature. Herein, we report in-situ growth observation of hierarchical pores in pomegranate metal-organic frameworks (pmg-MOFs) and their self-sequestering storage mechanism, not observed for pristine MOFs. Direct observation of hierarchical pores inside the pmg-MOF was evident by in-situ growth X-ray measurements while self-sequestering storage mechanism was revealed by in-situ gas sorption X-ray analysis and molecular dynamics simulations. The results show that meso/macropores are created at the early stage of crystal growth and then enclosed by micropore crystalline shells, where hierarchical pores are networking under self-sequestering mechanism to give enhanced gas storage. This pmg-MOF gives higher CO2 (39%) and CH4 (14%) storage capacity than pristine MOF at room temperature, in addition to fast kinetics with robust capacity retention during gas sorption cycles, thus giving the clue to control dynamic behaviors of gas adsorption.
CNPC Benefited from Technological Innovation and Progress (2001)

With practice for several decades,CNPC has developed a complete set of continental petroleum theories in line with China's geological characteristics as well as global marine hydrocarbon generation theoretical system.Those theories include classification of oil areas and basins, compound oil and gas accumulation theory, low mature oil theory and hydrocarbon generation of coal and coal stratum series, leading to recent discoveries of Kala-2 and Sulige giant gas fields in addition to large oil fields such as Daqing, Liaohe, Xinjiang and Huabei. In the field petrochemical industry, CNPC has catalytic hydrogeneration technique,ethylene cracking technique,propylene technique and some high value-added refining products.More than 100 items of technology from CNPC are patented each year.