gebhart/patrepeval huggingface dataset:
Color Correction Look Book: Creative Grading Techniques for Film and Video (2013)

The digital colorist’s job is no longer to simply balance, fix, and optimize. Today’s filmmakers often want to recreate the idiosyncrasies of older recording methods, or are looking for something completely new, to differentiate the look of a given project. Furthermore, end-to-end digital shooting, postproduction, and distribution means that stylizations and effects once created by the film lab are no longer photochemically available. The color grading suite has become the lab, and these sorts of stylizations are now part of the colorist’s job description.
Introduction to in vitro estimation of metabolic stability and drug interactions of new chemical entities in drug discovery and development. (2007)

Determination of metabolic properties of a new chemical entity (NCE) is one of the most important steps during the drug discovery and development process. Nowadays, in vitro methods are used for early estimation and prediction of in vivo metabolism of NCEs. Using in vitro methods, it is possible to determine the metabolic stability of NCEs as well as the risk for drug-drug interactions (DDIs) related to inhibition and induction of drug metabolic enzymes. Metabolic stability is defined as the susceptibility of a chemical compound to biotransformation, and is expressed as in vitro half-life (t(1/2)) and intrinsic clearance (CL(int)). Based on these values, in vivo pharmacokinetic parameters such as bioavailability and in vivo half-life can be calculated. The drug metabolic enzymes possess broad substrate specificity and can metabolize multiple compounds. Therefore, the risk for metabolism-based DDIs is always a potential problem during the drug development process. For this reason, inhibition and induction in vitro screens are used early, before selection of a candidate drug (CD), to estimate the risk for clinically significant DDIs. At present, most pharmaceutical companies perform in vitro drug metabolism studies together with in silico prediction software and automated high-throughput screens (HTS). Available data suggest that in vitro methods are useful tools for identification and elimination of NCEs with unappreciated metabolic properties. However, the quantitative output of the methods has to be improved. The aim of this review is to highlight the practical and theoretical basis of the in vitro metabolic methods and the recent progress in the development of these assays.
Associating cooking video with related textbook (2000)

We have been handling video with supplementary documents, such as cooking programs, and are working on integration of such media. Through the integration, many applications will become possible, for example, reconstruction of multimedia data that supplement the information of each medium, construction of interactive database, or kitchen automation. Until now, we have proposed an integration system that perform integrative analysis of image, audio and text and associate each other. In this paper, we will introduce the latest text analysis result and discuss about future image and audio analysis of the proposed system.
Fabrication of novel anisotropic magnetic microparticles (2009)

We report a novel technique for fabrication of magnetically anisotropic microparticles based on “arresting” of the alignment of oleic acid coated magnetite nanoparticles (OCMNs) dispersed within the oil drops of a polymerisable oil-in-water emulsion. This was achieved by polymerising the oil drops after gelling the continuous aqueous phase in the presence of an external magnetic field. This approach allowed us to produce magnetic Janus particles with anisotropic optical and magnetic properties which form unusual zig-zag chains and structures when exposed to an external magnetic field. We studied the magnetic properties of these novel microparticles and showed that they retained remanence magnetisation with high coercivity values indicative of ferromagnetic behaviour. This indicates that the composite polymeric Janus microparticles posses a net magnetic dipole and behave like micromagnets due to the “arrested” orientation of the OCMNs in their polymeric matrix. Utilizing the same technique, magnetic Janus microparticles have been prepared based on emulsions stabilised only by OCMNs without the use of surfactants, and the effect of pH of continuous aqueous phase on the morphology of these microparticles has been investigated.
A Novel Method for the Induction of Experimental Glaucoma Using Magnetic Microspheres (2010)

The use of paramagnetic microbeads for the occlusion of the iridocorneal angle produces a sustained elevation of IOP with fewer injections and avoids the risk of visual axis occlusion. It represents a simple and effective method for the induction of experimental glaucoma.
Discriminative Deep Metric Learning for Face and Kinship Verification (2017)

This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric learning methods aim to learn a single Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, which cannot capture the nonlinear manifold where face images usually lie on. To address this, we propose a DDML method to train a deep neural network to learn a set of hierarchical nonlinear transformations to project face pairs into the same latent feature space, under which the distance of each positive pair is reduced and that of each negative pair is enlarged. To better use the commonality of multiple feature descriptors to make all the features more robust for face and kinship verification, we develop a discriminative deep multi-metric learning method to jointly learn multiple neural networks, under which the correlation of different features of each sample is maximized, and the distance of each positive pair is reduced and that of each negative pair is enlarged. Extensive experimental results show that our proposed methods achieve the acceptable results in both face and kinship verification.
M 3 + ‐Modified LiMn2 O 4 Spinel Intercalation Cathodes: II. Electrochemical Stabilization by (1997)

The 4 V rechargeable capacity of the spinel LiMn2O4 was stabilized by substituting less than 1 mole percent (m/o) Mn3+ with Cr3+. The optimum composition was determined as LiCr0.012Mn1.988O4, which had a discharge capacity exceeding 110 mAh/g even after 100 cycles, although improved stabilities were attained for all Cr-modified compositions studied (0.1 to 7.0 m/o Cr3+ substitution). The effects of varying electrolyte salt, temperature, and current density were also investigated. Capacity losses in 4 V LiMn2O4-based spinel systems were attributed to Mn dissolution into the electrolyte causing structural degradation of the cathode and an increase in cell polarization from deposited Mn interfering with Li+ transport through the anodic solid-electrolyte interphase. Substitution of even a small amount of Mn3+ by trivalent Cr3+ minimized this dissolution and resulted in enhanced cathodic electrochemical stability.
Analyzing Vehicle Fuel Saving Opportunities through Intelligent Driver Feedback (2012)

<div class="section abstract"><div class="htmlview paragraph">While it is well known that “MPG will vary” based on how one drives, little independent research exists on the aggregate fuel savings potential of improving driver efficiency and on the best ways to motivate driver behavior changes. This paper finds that reasonable driving style changes could deliver significant national petroleum savings, but that current feedback approaches may be insufficient to convince many people to adopt efficient driving habits. To quantify the outer bound fuel savings for drive cycle modification, the project examines completely eliminating stop-and-go driving plus unnecessary idling, and adjusting acceleration rates and cruising speeds to ideal levels. Even without changing the vehicle powertrain, such extreme adjustments result in dramatic fuel savings of over 30%, but would in reality only be achievable through automated control of vehicles and traffic flow. Considering the effects of real-world driving conditions, efficient driving behaviors could reduce fuel use by 20% on aggressively driven cycles and by 5-10% on more moderately driven trips.</div><div class="htmlview paragraph">To evaluate potential receptiveness to changing driving habits, the project team conducted a literature survey of driver behavior influences and observed pertinent factors from on-road experiments with different driving styles. This effort highlighted important driver influences such as surrounding vehicle behavior, anxiety over trying to get somewhere quickly, and the power/torque available from the vehicle. Existing feedback approaches often effectively deliver efficiency information and instruction, but do not always do so in an easy way that avoids unintended consequences and helps trump other driving behavior influences. Based on these findings the report details three recommendations for maximizing fuel savings from potential drive cycle improvement: (1) Leverage applications with enhanced incentives, (2) Use an approach that makes it easy and is widely-deployable to motivated drivers, and (3) Utilize connected vehicle and automation technologies to achieve large and widespread efficiency improvements.</div></div>
The Preparation of a Strontium-Niobium Bronze with the Perovskite Structure<sup>1</sup> (1955)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe Preparation of a Strontium-Niobium Bronze with the Perovskite Structure1Dana Ridgley and Roland WardCite this: J. Am. Chem. Soc. 1955, 77, 23, 6132–6136Publication Date (Print):December 1, 1955Publication History Published online1 May 2002Published inissue 1 December 1955https://pubs.acs.org/doi/10.1021/ja01628a011https://doi.org/10.1021/ja01628a011research-articleACS PublicationsRequest reuse permissionsArticle Views687Altmetric-Citations112LEARN 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
Outcomes of Cataract Surgery (1993)

Patients who underwent surgery in both eyes reported greater improvement in subjective visual function than did those who underwent surgery in one eye. Thus, there seems to be a benefit associated with restoring binocular vision in this population. These findings support the policy recommendation that cataract surgery in both eyes remains the appropriate treatment for patients with bilateral, cataract-induced visual impairment.
Preserving text categorization through translation (2003)

We treat natural language documents as we treat strongly-typed functional programming languages by introducing semantic categories as types. We use axioms to define primitive semantic categories and inference rules to capture the meaningful relationships among the primitive semantic categories. Primitive categories are nodes of a sense type decision tree. Axioms and inference rules are used to construct compound categories, validate category hypotheses, and eliminate ambiguities. The same categorization is obtained when this approach is applied to a text in a given natural language or to its translation into another language if a one-to-one mapping can be defined between the axioms and inference rules associated to the initial language and the axioms and inference rules associated to the other language.
Integration of Remote Sensing Data into a Composite Voxel Model for Environmental Performance Analysis of Terraced Vineyards in Tuscany, Italy (2021)

Understanding socio-ecological systems and the discovery, recovery and adaptation of land knowledge are key challenges for sustainable land use. The analysis of sustainable agricultural systems and practices, for instance, requires interdisciplinary and transdisciplinary research and coordinated data acquisition, data integration and analysis. However, datasets, which are acquired using remote sensing, geospatial analysis and simulation techniques, are often limited by narrow disciplinary boundaries and therefore fall short in enabling a holistic approach across multiple domains and scales. In this work, we demonstrate a new workflow for interdisciplinary data acquisition and integration, focusing on terraced vineyards in Tuscany, Italy. We used multi-modal data acquisition and performed data integration via a voxelised point cloud that we term a composite voxel model. The latter facilitates a multi-domain and multi-scale data-integrated approach for advancing the discovery and recovery of land knowledge. This approach enables integration, correlation and analysis of data pertaining to different domains and scales in a single data structure.
Plasma Kallikrein-Kinin system mediates immune-mediated renal injury in trichloroethylene-sensitized mice (2016)

Trichloroethylene (TCE) is a major environmental pollutant. An immunological response is a newly-recognized mechanism for TCE-induced kidney damage. However, the role of the plasma kallikrein-kinin system (KKS) in immune-mediated kidney injury has never been examined. This study aimed to explore the role of the key components of the KKS, i.e. plasma kallikrein (PK), bradykinin (BK) and its receptors B1R and B2R, in TCE-induced kidney injury. A mouse model of skin sensitization was used to explore the mechanism of injury with or without a PK inhibitor PKSI. Kidney function was evaluated by measuring blood urea nitrogen (BUN) and creatinine (Cr) in conjunction with histopathologic characterization. Plasma BK was determined by ELISA; Renal C5b-9 membrane attack complex was evaluated by immunohistochemistry. Expression of BK and PK in the kidney was detected by immunoﬂuorescence. mRNA and protein levels of B1R and B2R were assessed by real-time qPCR and Western blot. As expected, numerous inflammatory cell inﬁltration and tubular epithelial cell vacuolar degeneration were observed in TCE-sensitized mice. Moreover, serum BUN and Cr and plasma BK were increased. In addition, deposition of BK, PK and C5b-9 were observed and B1R and B2R mRNA and proteins levels were up-regulated. Pre-treatment with PKSI, a highly selective inhibitor of PK, alleviated TCE-induced renal damage. In addition, PKSI attenuated TCE-induced up-regulation of BK, PK and its receptors and C5b-9. These results provided the first evidence that activation of the KKS contributed to immune-mediated renal injury induced by TCE and also helped to identify the KKS as a potential therapeutic target for mitigating chemical sensitization-induced renal damage.
Highly Efficient Fluorescence Quenching with Graphene (2012)

Fluorescence quenching is a powerful technique used to obtain information about the dynamic changes of proteins in complex macromolecular systems. In this work, graphene is shown to be a very efficient quencher of fluorescence molecules where the quenching effect was one order of magnitude higher than that of gold. The fluorescence intensity was distance-dependent where increasing the distance between the fluorescence molecule and the graphene surface from 4 to 7 nm increased the fluorescence intensity by a factor of 7.5. This type of distance dependence suggests a nonradiative nature in the energy transfer between the graphene and the fluorophore due to the excitation of an exciton.
Astrocyte-specific Expression of the α1-Antichymotrypsin and Glial Fibrillary Acidic Protein Genes Requires Activator Protein-1 (2005)

An amyloid-associated serine proteinase inhibitor (serpin), alpha(1)-antichymotrypsin (ACT), is encoded by a gene located within the distal serpin subcluster on human chromosome 14q32.1. The expression of these distal serpin genes is determined by tissue-specific chromatin structures that allow their ubiquitous expression in hepatocytes; however, their expression is limited to a single ACT gene in astrocytes. In astrocytes and glioma cells, six specific DNase I-hypersensitive sites (DHSs) were found located exclusively in the 5'-flanking region of the ACT gene. We identified two enhancers that mapped to the two DHSs at -13 kb and -11.5 kb which contain activator protein-1 (AP-1) binding sites, both of which are critical for basal astrocyte-specific expression of ACT reporters. In vivo, these elements are occupied by c-jun homodimers in unstimulated cells and c-jun/c-fos heterodimers in interleukin-1-treated cells. Moreover, functional c-jun is required for the expression of ACT in glioma cells because both transient and stable inducible overexpression of dominant-negative c-jun(TAM67) specifically abrogates basal and reduces cytokine-induced expression of ACT. Expression-associated methylation of lysine 4 of histone H3 was also lost in these cells, but the DHS distribution pattern and global histone acetylation were not changed upstream of the ACT locus. Interestingly, functional AP-1 is also indispensable for the expression of glial fibrillary acidic protein (GFAP), which is an astrocyte-specific marker. We propose that AP-1 is a key transcription factor that, in part, controls astrocyte-specific expression of genes including the ACT and GFAP genes.
Sabeluzole accelerates neurite outgrowth in different neuronal cell lines (1992)

The outgrowth of neurites in neuronal cell cultures reflects the intrinsic capacity for neurite regeneration and morphological rearrangements after axotomy and in plasticity. The role of fast axonal transport in these neurite outgrowth responses has not been investigated. We have recently shown that sabeluzole (R58735), a new neuro-active compound increases fast axonal transport in cultures of hippocampal neurons. In rat hippocampal neurons, N4 neuroblastoma cells and adult rat dorsal root ganglion cultures, incubation with sabeluzole at an optimal concentration of between 0.1 μM and 0.5 μM enhances neurite outgrowth between 10 and 30%. The relative number of cells with neurite length greater than twice the cell body, is also increased dose-dependently. Time-dependent studies further indicate that the rate of neurite elongation is markedly enhanced during the first 24-48 h. This neurite enhancing effect of sabeluzole is discussed in relation to the enhancement of fast axonal transport.
Advantages and Disadvantages of Using New Types of Photonic Fibers in Fiber-Optic Gyros (2020)

Abstract In this paper, two new types of optical fibers are considered that can be used for design of a fiber optic gyroscope with improved characteristics. A fiber optic gyroscope is relatively novel type of sensors for measuring orientation and angular velocity. Characteristics of fiber optic gyroscopes significantly depend on type and quality a light source and a photonic fiber. There are also a number of effects that have a significant influence on the performance of FOG. Some of these effects can be eliminated or minimized by design. Currently, two novel types of optical fibers have been developed - microstructured fibers and multicore fibers. The use of these type of fibers can significantly reduce the effect of temperature influence on the gyroscope. In the paper the advantages and disadvantages of using of microstructured fibers and multicore fibers were discussed.
Vascular endothelial growth factor receptor Flt-1 negatively regulates developmental blood vessel formation by modulating endothelial cell division (2002)

Mice lacking the vascular endothelial growth factor (VEGF) receptor flt-1 die of vascular overgrowth, and we are interested in how flt-1 normally prevents this outcome. Our results support a model whereby aberrant endothelial cell division is the cellular mechanism resulting in vascular overgrowth, and they suggest that VEGF-dependent endothelial cell division is normally finely modulated by flt-1 to produce blood vessels. Flt-1(-/-) embryonic stem cell cultures had a 2-fold increase in endothelial cells by day 8, and the endothelial cell mitotic index was significantly elevated before day 8. Flt-1 mutant embryos also had an increased endothelial cell mitotic index, indicating that aberrant endothelial cell division occurs in vivo in the absence of flt-1. The flt-1 mutant vasculature of the cultures was partially rescued by mitomycin C treatment, consistent with a cell division defect in the mutant background. Analysis of cultures at earlier time points showed no significant differences until day 5, when flt-1 mutant cultures had increased beta-galactosidase(+) cells, indicating that the expansion of flt-1 responsive cells occurs after day 4. Mitomycin C treatment blocked this early expansion, suggesting that aberrant division of angioblasts and/or endothelial cells is a hallmark of the flt-1 mutant phenotype throughout vascular development. Consistent with this model is the finding that expansion of platelet and endothelial cell adhesion molecule(+) and VE-cadherin(+) vascular cells in the flt-1 mutant background first occurs between day 5 and day 6. Taken together, these data show that flt-1 normally modulates vascular growth by controlling the rate of endothelial cell division both in vitro and in vivo.
Formal analysis of early requirements specifications (2001)

The identification of the relationship between ECC MFA and mobility in older adults who have fallen is novel. Although the correlations are not causal, these relationships suggest that inaccurate force output during ECC contractions of the knee extensors is linked to impaired mobility.
Alternatives to the glasgow coma scale as a quality of life predictor following traumatic brain injury (1993)

Conventional “staging ” of traumatic brain injury (TBI) typically uses depth of coma assessed by the Glasgow Coma Scale (GCS) score near admission as a severity marker. Frequently, early GCS scores are contaminated by alcohol or drug ingestion and other, nonneurological organ system trauma. As well, this measure's usefulness is limited due to its restricted range in survivors. Here we explore the utility of using length of posttraumatic amnesia, coma duration, and age as indirect markers of severity. Cluster analytic techniques were used to examine the relationship of severity so defined to long-term outcome in 106 mild, moderate, and severe TBI patients. Results indicate complex relationships between cluster groups with the influence of age of patient being highlighted as an important moderator in determining severity of injury and later psychosocial outcome.