gebhart/patrepeval huggingface dataset:
Object recognition with color cooccurrence histograms (2003)

We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color CH adds geometric information to the normal color histogram, which abstracts away all geometry. We compute model CHs based on images of known objects taken from different points of view. These model CHs are then matched to subregions in test images to find the object. By adjusting the number of colors and the number of distances used in the CH, we can adjust the tolerance of the algorithm to changes in lighting, viewpoint, and the flexibility of the object We develop a mathematical model of the algorithm's false alarm probability and use this as a principled way of picking most of the algorithm's adjustable parameters. We demonstrate our algorithm on different objects, showing that it recognizes objects in spite of confusing background clutter partial occlusions, and flexing of the object.
An expression of the magnetic co-energy adapted to magnetostatic volume integral formulations-application to the magnetic force computation (2017)

International audience
Energy Efficient Glass Melting - The Next Generation Melter (2008)

The objective of this project is to demonstrate a high intensity glass melter, based on the submerged combustion melting technology. This melter will serve as the melting and homogenization section of a segmented, lower-capital cost, energy-efficient Next Generation Glass Melting System (NGMS). After this project, the melter will be ready to move toward commercial trials for some glasses needing little refining (fiberglass, etc.). For other glasses, a second project Phase or glass industry research is anticipated to develop the fining stage of the NGMS process.
Practical approach to parameter estimation for ASM3+bio-P module applied to five-stage step-feed EBPR process (2006)

Various parameter optimization approaches to a five-stage step-feed EBPR process modeled using the ASM3+bio-P module were examined. Five stoichiometric (Y(STO,NO), Y(H,O2, Y(H,NO,) Y(PAO,O2), Y(PO4)) and seven kinetic parameters (k(STO), eta(NO), b(H), mu(max),PAO, q(PHA), q(PP), mu(max),A) were estimated. The optimization approaches could be classified based on the data sources (batch experiments or CSTR operation data) and the number of target variables used in calculating the objective function. Optimized parameter values obtained by each approach were validated with CSTR operation data that were not used for parameter optimization. The results showed that the parameter optimization only with batch experimental results could not be directly applied to CSTR operation data. ASM3 + bio-P module parameters could be finely optimized only with CSTR operation data when sufficient target variables for objective function calculation were applied. When the number of target variables was increased, prediction performance was significantly improved. Once optimized, the model was able to predict the characteristic features of the five-stage step-feed process; namely, a high PAO yield, fast PAO growth, fast X(pp) storage, slow X(STO) and X(PHA) storage.
Characterizing the Neuroimaging and Histopathological Correlates of Cerebral Small Vessel Disease in Spontaneously Hypertensive Stroke-Prone Rats (2021)

<b>Introduction:</b> Spontaneously hypertensive stroke-prone rats (SHRSP) are used to model clinically relevant aspects of human cerebral small vessel disease (CSVD). To decipher and understand the underlying disease dynamics, assessment of the temporal progression of CSVD histopathological and neuroimaging correlates is essential. <b>Materials and Methods:</b> Eighty age-matched male SHRSP and control Wistar Kyoto rats (WKY) were randomly divided into four groups that were aged until 7, 16, 24 and 32 weeks. Sensorimotor testing was performed weekly. Brain MRI was acquired at each study time point followed by histological analyses of the brain. <b>Results:</b> Compared to WKY controls, the SHRSP showed significantly higher prevalence of small subcortical hyperintensities on T2w imaging that progressed in size and frequency with aging. Volumetric analysis revealed smaller intracranial and white matter volumes on brain MRI in SHRSP compared to age-matched WKY. Diffusion tensor imaging (DTI) showed significantly higher mean diffusivity in the corpus callosum and external capsule in WKY compared to SHRSP. The SHRSP displayed signs of motor restlessness compared to WKY represented by hyperactivity in sensorimotor testing at the beginning of the experiment which decreased with age. Distinct pathological hallmarks of CSVD, such as enlarged perivascular spaces, microbleeds/red blood cell extravasation, hemosiderin deposits, and lipohyalinosis/vascular wall thickening progressively accumulated with age in SHRSP. <b>Conclusions:</b> Four stages of CSVD severity in SHRSP are described at the study time points. In addition, we find that quantitative analyses of brain MRI enable identification of <i>in vivo</i> markers of CSVD that can serve as endpoints for interventional testing in therapeutic studies.
ChemInform Abstract: Interaction of Sulfur Dioxide with Heteropolyanions in Nonpolar Solvents. Evidence for Complex Formation. (1987)

Abstract UV‐VIS and IR spectroscopic results indicate the formation of the heteropolytungstate‐SO2 complexes (I)‐(IV) during SO 2 treatment of the corresponding anhydrous heteropolyanions (obtained by extraction of an aqueous solution of the anion into a benzene or toluene solution containing tetra‐n‐heptylammonium bromide in an amount equivalent to the polyanion's charge, evaporation to dryness and redissolution in dry solvent).
Predictive Analytics to Support Real-Time Management in Pathology Facilities. (2016)

Predictive analytics can provide valuable support to the effective management of pathology facilities. The introduction of new tests and technologies in anatomical pathology will increase the volume of specimens to be processed, as well as the complexity of pathology processes. In order for predictive analytics to address managerial challenges associated with the volume and complexity increases, it is important to pinpoint the areas where pathology managers would most benefit from predictive capabilities. We illustrate common issues in managing pathology facilities with an analysis of the surgical specimen process at the Department of Pathology and Laboratory Medicine (DPLM) at The Ottawa Hospital, which processes all surgical specimens for the Eastern Ontario Regional Laboratory Association. We then show how predictive analytics could be used to support management. Our proposed approach can be generalized beyond the DPLM, contributing to a more effective management of pathology facilities and in turn to quicker clinical diagnoses.
13-93 bioactive glass/alginate composite scaffolds 3D printed under mild conditions for bone regeneration (2017)

Composite scaffolds of type 13-93 bioactive glass (13-93 BG) and sodium alginate (SA), denoted 13-93 BG/SA, in mass ratios of 0 : 4, 1 : 4, 2 : 4 and 4 : 4 were prepared for bone regeneration by 3D printing under mild conditions.
Excitement or sophistication? A preliminary exploration of online brand personality (2006)

Purpose This study attempts to identify the brand personality dimensions that American firms intend to create in the mind of online consumers by using “forms of online communications” partially based on Ghose and Dou's earlier study. Design/methodology/approach The operational definitions of brand personality stimuli are adopted from prior research on advertising creative strategies. A content analysis was conducted on 270 web sites created by 64 American brands in the USA, UK, France, Germany and Spain. Findings A principal component analysis identifies five underlying dimensions of brand personality stimuli: excitement, sophistication, affection, popularity, and competence. The principal forms of online communications consist of stakeholder relations, direct/indirect sales, choice functions, connectedness, orientation, and product positioning. Multiple regression analyses confirm that there are modest but consistent associations between the intended brand personality dimensions and the forms of online communications. Research limitations/implications The dimensions of brand personality stimuli are intrinsically traceable from the perspective of the creative advertising appeals that multinational corporations (MNCs) attempt to employ on their web sites. Practical implications This study provides a practical observation relating to whether MNCs are attempting to create a uniform set of brand personality dimensions across global markets. Originality/value The present study contributes to the literature by its attempt to classify brand personality stimuli in terms of the cognition versus affection framework.
The enduring effects of early‐life stress on the microbiota–gut–brain axis are buffered by dietary supplementation with milk fat globule membrane and a prebiotic blend (2019)

Nutritional interventions targeting the microbiota-gut-brain axis are proposed to modulate stress-induced dysfunction of physiological processes and brain development. Maternal separation (MS) in rats induces long-term alterations to behaviour, pain responses, gut microbiome and brain neurochemistry. In this study, the effects of dietary interventions (milk fat globule membrane [MFGM] and a polydextrose/galacto-oligosaccharide prebiotic blend) were evaluated. Diets were provided from postnatal day 21 to both non-separated and MS offspring. Spatial memory, visceral sensitivity and stress reactivity were assessed in adulthood. Gene transcripts associated with cognition and stress and the caecal microbiota composition were analysed. MS-induced visceral hypersensitivity was ameliorated by MFGM and to greater extent with the combination of MFGM and prebiotic blend. Furthermore, spatial learning and memory were improved by prebiotics and MFGM alone and with the combination. The prebiotic blend and the combination of the prebiotics and MFGM appeared to facilitate return to baseline with regard to HPA axis response to the restraint stress, which can be beneficial in times where coping mechanisms to stressful events are required. Interestingly, the combination of MFGM and prebiotic reduced the long-term impact of MS on a marker of myelination in the prefrontal cortex. MS affected the microbiota at family level only, while MFGM, the prebiotic blend and the combination influenced abundance at family and genus level as well as influencing beta-diversity levels. In conclusion, intervention with MFGM and prebiotic blend significantly impacted the composition of the microbiota as well as ameliorating some of the long-term effects of early-life stress.
Metrology of injection molded polymer optics for a commercial VR system (2018)

Virtual reality and augmented reality devices require increasingly demanding optical components. Head mounted displays for VR systems often use molded Fresnel lenses, which can be affordably mass produced, maintain low weight, and still achieve high optical performance. Here, we describe an optical system designed for a wide field-of-view, consumer VR headset. Custom tooling was fabricated via diamond turning in order to injection mold the acrylic lenses. Each optical channel is composed of two lenses. The lenses have a spherical-convex surface and an aspheric-convex Fresnel on a spherical-concave surface; the radii of the spherical surfaces differ between the two lenses. Each lens pair relays the image from a compatible smartphone to the eye. To assess the quality of the lenses, the surface finish and surface profiles were measured using a white light interferometer and a contact profilometer, respectively. The lenses were assembled into a custom headset, and their performance was demonstrated via commercial VR software.
Development of Probabilistic Design Basis Earthquake (DBE) Parameters for Moderate and High Hazard Facilities at INEEL (2000)

Design Basis Earthquake (DBE) horizontal and vertical response spectra are developed for moderate and high hazard facilities or Performance Categories (PC) 3 and 4, respectively, at the Idaho National Engineering and Environmental Laboratory (INEEL). The probabilistic DBE response spectra will replace the deterministic DBE response spectra currently in the U.S. Department of Energy Idaho Operations Office (DOE-ID) Architectural Engineering Standards that govern seismic design criteria for several facility areas at the INEEL. Probabilistic DBE response spectra are recommended to DOE Naval Reactors for use at the Naval Reactor Facility at INEEL. The site-specific Uniform Hazard Spectra (UHS) developed by URS Greiner Woodward Clyde Federal Services are used as the basis for developing the DBE response spectra. In 1999, the UHS for all INEEL facility areas were recomputed using more appropriate attenuation relationships for the Basin and Range province. The revised UHS have lower ground motions than those produced in the 1996 INEEL site-wide probabilistic ground motion study. The DBE response spectra were developed by incorporating smoothed broadened regions of the peak accelerations, velocities, and displacements defined by the site-specific UHS. Portions of the DBE response spectra were adjusted to ensure conservatism for the structural design process.
La adaptación de la empresa a las presiones competitivas en el ambito internacional: una aportación empírica (2000)

Una de las piedras angulares de la Direccion Estrategica de la empresa se centra en la adecuacion de la estrategia competitiva a las presiones del entorno sectorial. En el contexto internacional, estas pueden adoptar dos formas puras: eficiencia global y sensibilidad nacional. En el primer caso, se aboga por la estandarizacion e integracion de las actividades; en el segundo, se hace necesaria una adaptacion competitiva a cada mercado nacional. La razon de ser de este trabajo se fundamenta en comprobar empiricamente estas prescripciones, a partir de una muestra de empresas con un elevado grado de compromiso en las operaciones internacionales.
Estimation of the PPARα Agonism of Fibrates by a Combined MM-Docking Approach (2012)

Fibrates are peroxisome proliferator-activated alpha receptor (PPARα) activators derived from fibric acid and are the most clinically used therapeutics in the treatment of hypertriglyceridemia. Recently, we reported a computational approach for the investigation of the binding properties of fibrates, characterized by similar carboxylic heads but differing in the size and orientation of the hydrophobic portion. This procedure is based on a combination of standard docking and molecular mechanics approaches to better describe the adaptation of the protein target to the bound ligand. The application of our approach to a set of 23 fibrates and the use of an effective regression procedure, allowed the development of predictive models of the PPARα agonism. The obtained models are characterized by good performances realizing a fair trade-off between accuracy and computational costs. The best model is more specialized in the ranking of fibrate agonists whose binding is mainly controlled by steric rather than by electronic modulation. Here, we describe in details the application of this computational procedure for the prediction of PPARα agonism of fibrate ligands.
A Proposed Workflow for Converted-Wave Event Registration - the Step between Processing and Interpretation (2002)

P004 A PROPOSED WORKFLOW FOR CONVERTED- WAVE EVENT REGISTRATION – THE STEP BETWEEN PROCESSING AND INTERPRETATION ROBERT R. KENDALL 1 and JIM PULLISHY 2 Abstract 1 We present a workflow template for identifying converted-wave reflection energy that involves interpretive processing and forward modeling. We then identify equivalent reflectors on the PP and PS sections (registration). The data were recorded using VectorSeis ® multicomponent digital accelerometers. These sensors provide a cost-effective means to acquiring multicomponent data without impacting the quality of the conventional p-wave data. Therefore we will also present the results of a direct (one-to-one) comparison of the digital VectorSeis®
Shock during PIND test frees particles (1979)

Recent study on Particle-Impact Noise-Detection (PIND) shows impact at 1,500 to 4,000 G normally imparted to hybrid microcircuits during testing knocks loose stray trapped particle that can be subsequentially removed. Process may be 80 to 90 percent effective in removal of particles depending on type of test utilized.
The genetic regulatory signature of type 2 diabetes in human skeletal muscle (2016)

Abstract Type 2 diabetes (T2D) results from the combined effects of genetic and environmental factors on multiple tissues over time. Of the >100 variants associated with T2D and related traits in genome-wide association studies (GWAS), >90% occur in non-coding regions, suggesting a strong regulatory component to T2D risk. Here to understand how T2D status, metabolic traits and genetic variation influence gene expression, we analyse skeletal muscle biopsies from 271 well-phenotyped Finnish participants with glucose tolerance ranging from normal to newly diagnosed T2D. We perform high-depth strand-specific mRNA-sequencing and dense genotyping. Computational integration of these data with epigenome data, including ATAC-seq on skeletal muscle, and transcriptome data across diverse tissues reveals that the tissue-specific genetic regulatory architecture of skeletal muscle is highly enriched in muscle stretch/super enhancers, including some that overlap T2D GWAS variants. In one such example, T2D risk alleles residing in a muscle stretch/super enhancer are linked to increased expression and alternative splicing of muscle-specific isoforms of ANK1.
GPU-Accelerated Finite Element and Finite Difference Methods for Scattering Problems in Voxel-based Human Models (2021)

The GPU-accelerated implementations of two three-dimensional full-wave electromagnetic solvers for scattering radiofrequency problems, based on the finite element and the finite difference methods, are compared in terms of accuracy and performances, looking also at the achieved speed-up with respect to the serial CPU implementations. The finite element method shows a speed-up of about 10 for medium-size problems, whereas the acceleration rises up to 50 when the finite difference method is used. The described codes are then used to compute the specific absorption rate of a magnetic resonance imaging radiofrequency birdcage coil in a voxel-based anatomical human model.
Injecting uncertainty in graphs for identity obfuscation (2012)

Data collected nowadays by social-networking applications create fascinating opportunities for building novel services, as well as expanding our understanding about social structures and their dynamics. Unfortunately, publishing social-network graphs is considered an ill-advised practice due to privacy concerns. To alleviate this problem, several anonymization methods have been proposed, aiming at reducing the risk of a privacy breach on the published data, while still allowing to analyze them and draw relevant conclusions. In this paper we introduce a new anonymization approach that is based on injecting uncertainty in social graphs and publishing the resulting uncertain graphs . While existing approaches obfuscate graph data by adding or removing edges entirely, we propose using a finer-grained perturbation that adds or removes edges partially : this way we can achieve the same desired level of obfuscation with smaller changes in the data, thus maintaining higher utility. Our experiments on real-world networks confirm that at the same level of identity obfuscation our method provides higher usefulness than existing randomized methods that publish standard graphs.
Challenges in the management of pituitary involvement in granulomatosis with Polyangitis (GPA): 2 cases managed at Imperial college healthcare trust (2020)

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
A flexible protection scheme for multi-terminal transmission lines (2005)

In order to supply small communities or facilities in sparsely populated, remote rural areas, tapped transmission lines provides an attractive solution to the challenge to provide connections at minimum cost. Using a tapped line saves the costs of building a sub-station at the point of connection together with those associated with the need to break the line. Unfortunately however, introducing a tap in the line greatly complicates the protection. The situation is further complicated by the increasing use of distributed generation which can be connected to the system. This paper introduces a novel protection scheme designed for protecting multi-terminal transmission lines. It also has the ability to be extended if and when new taps are added to the circuit. This scheme is based on a conventional carrier assisted, distance relay protection scheme and is designed to accommodate variations in tap position.
Treating the Aging Spine. (2016)

Demographic trends make it incumbent on orthopaedic spine surgeons to recognize the special challenges involved in caring for older patients with spine pathology. Unique pathologies, such as osteoporosis and degenerative deformities, must be recognized and treated. Recent treatment options and recommendations for the medical optimization of bone health include vitamin D and calcium supplementation, diphosphonates, and teriparatide. Optimizing spinal fixation in elderly patients who have osteoporosis is critical; cement augmentation of pedicle screws is promising. In the management of geriatric odontoid fractures, nonsurgical support with a collar may be considered for low-demand patients, whereas surgical fixation is favored for high-demand patients. Management of degenerative deformity must address sagittal plane balance, which includes consideration of pelvic incidence. Various osteotomies may prove helpful in this setting.