gebhart/patrepeval huggingface dataset:
Deep Algorithm Quality (DAQ): A blind computer vision algorithm quality assessment technique (2017)

No-Reference image quality assessment is a challenging problem of great interest to computer vision research community. This paper proposes to find a general solution to measure image quality for both human and computer vision system. A supervised deep neural network, called Deep Algorithm Quality (DAQ), is designed to blindly measure the human visual quality of benchmark images as well as to predict the performance of a computer vision algorithm on distorted images. The performance of the proposed DAQ is evaluated using two sets of experiments. The first experiment formulates DAQ as an image quality estimator, and evaluates the performance on general image quality assessment benchmarks. DAQ has achieved highest LCC and SROCC scores compare to five state-of-the-art image quality assessment methods. In the second experiment, DAQ is trained to work as a failure detector to predict the detection performance of another predefined computer vision algorithm working on distorted images.
The Bis(trifluoromethyl)phosphanide Anion and Novel Bis(trifluoromethyl)-phosphanido Complexes (2002)

(2002). The Bis(trifluoromethyl)phosphanide Anion and Novel Bis(trifluoromethyl)-phosphanido Complexes. Phosphorus, Sulfur, and Silicon and the Related Elements: Vol. 177, No. 6-7, pp. 1457-1462.
Infinite All-Layers Simple Foldability (2019)

We study the problem of deciding whether a crease pattern can be folded by simple folds (folding along one line at a time) under the infinite all-layers model introduced by [Akitaya et al., 2017], in which each simple fold is defined by an infinite line and must fold all layers of paper that intersect this line. This model is motivated by folding in manufacturing such as sheet-metal bending. We improve on [Arkin et al., 2004] by giving a deterministic $O(n)$-time algorithm to decide simple foldability of 1D crease patterns in the all-layers model. Then we extend this 1D result to 2D, showing that simple foldability in this model can be decided in linear time for unassigned axis-aligned orthogonal crease patterns on axis-aligned 2D orthogonal paper. On the other hand, we show that simple foldability is strongly NP-complete if a subset of the creases have a mountain-valley assignment, even for an axis-aligned rectangle of paper.
Improved Solids Modeling for Axisymmetric Projectile Design (1988)

Abstract : Accurate solids modeling plays an important role in the design and analysis of spin and fin stabilized projectiles. In particular, accurate knowledge of a projectile's mass, center of gravity, and its axial and transverse moments of inertia are important for stability and trajectory calculations. In practice, however, error sources exist with existing solids modeling techniques with respect to the determination of the mass properties of internal and external radii (ogives), which until now could not be calculated with a closed-form solution. To address this issue, the generalized closed-form solution for the mass, axial, and transverse moments of inertia, and the center of gravity for radii is developed and the definite integrals presented. The resulting solutions are surprisingly simple to incorporate into a solids modeling package, and the input parameters are few and standardized for all forms of radii, both internal and external.
On the relationship of MDCT transform kernels in Dolby AC-3 (2008)

The modified discrete cosine transform (MDCT) is widely used in perceptual audio coding algorithm with various types, especially in Dolby AC-3 which has three types for a long transform and two short transforms respectively. A lot of research has been done to pursue fast algorithms of MDCT and efficient ways of implementation as well. In this paper, a developing roadmap of the fast algorithms of MDCT is firstly presented, followed by the analysis to prove that the three types of MDCT can be unified into any one type to simplify the MDCT computation structure in the AC-3 encoder. In the end, the computation complexity of three unifications is compared. The ones using short transform cores have a tiny advantage in the amount of addition. However, this advantage would be darkened due to more circular shifting which the unifications call for.
Regulation of Transgenic Plants (1992)

Article MetricsDownloadsCitationsNo data available.01234JunJulAugSepOctNov750Total6 Months12 MonthsTotal number of downloads for the most recent 6 whole calendar months.
Structured lipids: Synthesis and applications (1998)

Abstract Structured lipids (SL) are defined as triacylglycerols (TAG) restructured or modified to change the fatty acid composition and/or their positional distribution in glycerol molecules by chemical or enzymatic processes. SL may provide the most effective means of delivering desired fatty acids for nutritive or therapeutic purposes. In this review, the synthesis and applications of structured lipids, nutritional/clinical aspects of fatty acids, immobilization, and characteristics of lipases are discussed.
Privacy Preserving Collaborative Data Mining (2007)

Data mining and knowledge discovery in databases are important research areas that investigate the automatic extraction of previously unknown patterns from large amounts of data. The field connects the three worlds of databases, artificial intelligence and statistics. However, the usefulness of this data is negligible if meaningful information or knowledge cannot be extracted from it. Data mining and knowledge discovery attempts to answer this need. Aiming at developing practical solutions to privacy-preserving data mining problems, we have applied the random perturbation technique and the randomized response technique. The idea is to add random noise to the original data so that it is hidden. In another field, the success of homeland security aiming to counter terrorism depends on a combination of strength across different mission areas, effective international collaboration and information sharing to support a coalition in which different organizations and nations must share some, but not all, information. Information privacy thus becomes extremely important and our technique can be applied. In the Internet era, collaborative data mining is becoming a popular way to extract useful knowledge from large databases.
SIMULTANEOUS SUBSTITUTION OF COBALT AND TITANIUM IN LINEAR MANGANESE ZINC FERRITES (1977)

It is shown that addition of titanium to cobalt containing Mn-Zn ferrite greatly improves the stability of the µ. The resulting materials are discussed in terms of a model of double anisotropy compensation. The values obtainable for technically important properties are given. Special attention is given to time stability, which is considered the most difficult of technical requirements to evaluate.
Modélisation des jets relativistes et de l'émission haute énergie des blazars et des microquasars galactiques (1999)

Dans cette these, je presente un modele permettant de rendre compte des caracteristiques essentielles des Blazars, i.e. l'emission haute energie (du MeV au TeV) et l'ejection de matiere a des vitesses relativistes, compatibles avec l'observation de mouvements apparemment superluminiques, en interferometrie a tres grande base (VLBI). Ce meme type de mouvement a ete observe pour des objets galactiques, les microquasars. L'ingredient principal de ce modele est la presence d'un plasma non thermique de paires evoluant dans un jet Magneto-hydrodynamique (modele a deux ecoulements). Je montre comment la force resultant des interactions Compton Inverses d 'un plasma relativiste de paires, dans le champ de photons anisotrope provenant d'un disque d'accretion (phenomene de fusee Compton) permet de propulser ce plasma jusqu'a des vitesses d'ensemble relativistes. Les facteurs de Lorentz d'ensemble terminaux obtenus sont compatibles avec ceux deduits des observations des objets extragalactiques et galactiques. L'emission de photons haute energie est associee au rayonnement Compton Inverse du plasma de paires sur deux types de photons sources, ceux provenant du dIsque d'accretion et ceux provenant du propre rayonnement synchrotron de ces paires. Le processus de creation de paires par absorption gamma-gamma permet d'expliquer naturellement la formation de ce plasma. Les differents rayonnements emis par le faisceau de paires permettent d'obtenir de bons ajustements des spectres multi-longueur d'onde de differents objets. L'instabilite due a la creation de paires semble etre une bonne clef pour l'explication de la variabilite des Blazars. Un modele dependant du temps, couplant de maniere simplifiee creation de paires et acceleration des particules, est presente. Sous certaines conditions, des ejections de paires apparaissent de maniere quasi-periodique, pouvant expliquer l'apparition des nouvelles composantes VLBI, associees a un sursaut d'activite aux hautes energies.
Adapting to data sparsity for efficient parallel PARAFAC tensor decomposition in Hadoop (2016)

Parallel Factor Analysis (PARAFAC) is used in many scientific disciplines to decompose multimodal datasets ('tensors') into principal factors to uncover multilinear relationships in the data. Today's popular implementations of PARAFAC are single-server solutions that do not scale well to big datasets. This paper presents the design, implementation, and testing of a Big Data-enabled Parallel PARAFAC algorithm written in Java and run via Hadoop. To optimize performance across diverse datasets, three computational modes have been implemented: (i) dense, (ii) sparse, and (iii) hybrid. The input tensor is first divided into slices for parallel processing, then a one-pass test is performed on each slice to determine its size and sparsity, and finally, the best mode for each slice is chosen to minimize the overall runtime. For tensors with non-uniform data density distributions, we demonstrate that a per slice selection of the computational mode minimizes the runtime compared to using the same mode for all slices. In one representative example, the runtime with auto-selected mode was 3% and 25% faster than pure hybrid and sparse mode executions, respectively, resulting in a faster execution of PARAFAC on Big Data tensors than previously possible.
A fast power-on 2.2Gb/s burst-mode digital CDR with programmable input jitter filtering (2013)

A digital burst-mode CDR employs feed-forward data edge injection and a digital feedback loop to achieve instantaneous phase locking, data-rate tracking, and input jitter filtering. Fabricated in a 90nm CMOS process, the prototype receiver achieves instantaneous locking on the very first data edge and consumes 6.1mW at 2.2Gb/s. By controlling the edge injection rate, the proposed architecture allows variable JTRAN bandwidth from 5MHz to 40MHz.
Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis (2019)

Paralysis occurring in amyotrophic lateral sclerosis (ALS) results from denervation of skeletal muscle as a consequence of motor neuron degeneration. Interactions between motor neurons and glia contribute to motor neuron loss, but the spatiotemporal ordering of molecular events that drive these processes in intact spinal tissue remains poorly understood. Here, we use spatial transcriptomics to obtain gene expression measurements of mouse spinal cords over the course of disease, as well as of postmortem tissue from ALS patients, to characterize the underlying molecular mechanisms in ALS. We identify pathway dynamics, distinguish regional differences between microglia and astrocyte populations at early time points, and discern perturbations in several transcriptional pathways shared between murine models of ALS and human postmortem spinal cords.
Biochemical and Molecular Characterization of a Laccase from Marasmius quercophilus (2000)

The basidiomycete Marasmius quercophilus is commonly found during autumn on the decaying litter of the evergreen oak (Quercus ilex L.), a plant characteristic of Mediterranean forest. This white-rot fungus colonizes the leaf surface with rhizomorphs, causing a total bleaching of the leaf. In synthetic liquid media, this white-rot fungus has strong laccase activity. From a three-step chromatographic procedure, we purified a major isoform to homogeneity. The gene encodes a monomeric glycoprotein of approximately 63 kDa, with a 3.6 isoelectric point, that contains 12% carbohydrate. Spectroscopic analysis of the purified enzyme (UV/visible and electron paramagnetic resonance, atomic absorption) confirmed that it belongs to the "blue copper oxidase" family. With syringaldazine as the substrate, the enzyme's pH optimum was 4.5, the optimal temperature was 75 degrees C, and the K(m) was 7.1 microM. The structural gene, lac1, was cloned and sequenced. This gene encodes a 517-amino-acid protein 99% identical to a laccase produced by PM1, an unidentified basidiomycete previously isolated from wastewater from a paper factory in Spain. This similarity may be explained by the ecological distribution of the evergreen oak in Mediterranean forest.
Characterization of Microgravity Effects on Bone Structure and Strength Using Fractal Analysis (1995)

The effect of micro-gravity on the musculoskeletal system has been well studied. Significant changes in bone and muscle have been shown after long term space flight. Similar changes have been demonstrated due to bed rest. Bone demineralization is particularly profound in weight bearing bones. Much of the current techniques to monitor bone condition use bone mass measurements. However, bone mass measurements are not reliable to distinguish Osteoporotic and Normal subjects. It has been shown that the overlap between normals and osteoporosis is found for all of the bone mass measurement technologies: single and dual photon absorptiometry, quantitative computed tomography and direct measurement of bone area/volume on biopsy as well as radiogrammetry. A similar discordance is noted in the fact that it has not been regularly possible to find the expected correlation between severity of osteoporosis and degree of bone loss. Structural parameters such as trabecular connectivity have been proposed as features for assessing bone conditions. In this report, we use fractal analysis to characterize bone structure. We show that the fractal dimension computed with MRI images and X-Ray images of the patella are the same. Preliminary experimental results show that the fractal dimension computed from MRI images of vertebrae of human subjects before bedrest is higher than during bedrest.
Isolation of male germ stem cell-like cells from testicular tissue of non-obstructive azoospermic patients and differentiation into haploid male germ cells in vitro (2005)

Our novel culture system may be useful for diagnosing the existence of germ cells and facilitating the treatment of NOA patients.
ChemInform Abstract: Chemistry of Glucal Halohydrins: Effect of the Halide on Epoxide Formation. (1994)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Phytochelatins, the heavy-metal-binding peptides of plants, are synthesized from glutathione by a specific γ-glutamylcysteine dipeptidyl transpeptidase (phytochelatin synthase) (1989)

An enzyme has been discovered and characterized from Silene cucubalus cell suspension cultures that catalyzes the transfer of the gamma-glutamylcysteine dipeptide moiety of glutathione to an acceptor glutathione molecule or a growing chain of [Glu(-Cys)](n)-Gly oligomers, thus synthesizing phytochelatins, the metal-binding peptides of higher plants and select fungi. The enzyme was named gamma-glutamylcysteine dipeptidyl transpeptidase and given the trivial name phytochelatin synthase. The primary reaction catalyzed is [Glu(-Cys)]-Gly + [Glu(-Cys)](n)-Gly --> [Glu(-Cys)](n+1)-Gly + Gly. The enzyme is isoelectric near pH 4.8 and has temperature and pH optima at 35 degrees C and 7.9, respectively. Phytochelatin synthase is constitutively present in cell cultures of various plant species and its formation is not noticeably induced by heavy metal ions in the growth medium. The enzyme (M(r)95,000) seems to be composed of four subunits, the dimer (M(r)50,000) being also catalytically active. Cd(2+) is by far the best metal activator of the enzyme followed by Ag(+), Bi(3+), Pb(2+), Zn(2+), Cu(2+), Hg(2+), and Au(+). The K(m) for glutathione is 6.7 mM. The enzyme activity seems to be self-regulated in that the product of the reaction (the phytochelatins) chelates the enzyme-activating metal, thus terminating the enzyme reaction. The molar ratio of the gamma-glutamylcysteine dipeptide in phytochelatin to Cd(2+) in the newly formed complex was 2:1.
c‐Met activation in lung adenocarcinoma tissues: An immunohistochemical analysis (2007)

c-Met is often overexpressed in non-small cell lung cancer, but it remains unsolved whether its overexpression leads to its activation. We used an antibody specific to phospho-c-Met (Tyr1235) to investigate c-Met activation immunohistochemically in 130 surgically resected lung adenocarcinomas. The expression of c-Met and hepatocyte growth factor (HGF) was also investigated. Phospho-c-Met was positive in 21.5% (28/130) of cases. c-Met was positive in 74.6% of cases (97/130) and was expressed at high levels in 36.1% of cases (47/130). HGF was expressed at high levels in 31.5% of cases (41/130). Phospho-c-Met was correlated with high levels of HGF (P =0.0010) and high levels c-Met expression (P = 0.0303), but it was also found to be positive in 12 cases with little to no HGF expression. Phospho-c-Met expression was significantly associated with tumor differentiation (P = 0.0023) and papillary histology (P = 0.0011), but not with pathological stage, lymph node metastasis or survival. High levels of c-Met and HGF were also associated with papillary histology (P = 0.0056 and P = 0.0396, respectively), but not with tumor differentiation. Phospho-c-Met was correlated with phospho-Akt (P = 0.0381), but not with phospho-Erk or phospho-Stat3. Phospho-Akt expression was marginally correlated with the expression of phospho-epidermal growth factor receptor (EGFR) (P = 0.0533) and, importantly, it was strongly correlated with the expression of either phospho-c-Met or phospho-EGFR (P = 0.0013). The data suggest that in lung adenocarcinoma tissue, c-Met activation may take place either ligand-dependently or ligand-independently via c-Met overexpression. c-Met activation may play special roles in the papillary subtype and in well differentiated lung adenocarcinomas.
[Ga3+8Sm3+2, Ga3+8Tb3+2] Metallacrowns are Highly Promising Ratiometric Luminescent Molecular Nanothermometers Operating at Physiologically Relevant Temperatures (2020)

Nanothermometry is the study of temperature at the submicron scale with a broad range of potential applications, such as cellular studies or electronics. Molecular luminescent-based nanothermometers offer a non-contact means to record these temperatures with high spatial resolution and thermal sensitivity. A luminescent-based molecular thermometer comprised of visible-emitting Ga3+<br> /Tb3+ and Ga3+/Sm3+ metallacrowns (MCs) achieved remarkable relative thermal sensitivity associated with very low temperature uncertainty of Sr=1.9%K@1 and dT&lt; 0.045 K, respectively, at 328 K, as an aqueous suspension of polystyrene nanobeads loaded with the corresponding MCs. To date, they are the ratiometric molecular nanothermometers offering the highest level of sensitivity in the physiologically relevant temperature range.
Chemically Fueled Volume Phase Transition of Polyacid Microgels (2020)

Abstract Microgels are soft colloids that show responsive behavior and are easy to functionalize for applications. They are considered key components for future smart colloidal material systems. However, so far microgel systems have almost exclusively been studied in classical responsive switching settings using external triggers, while internally organized, autonomous control mechanisms as found in supramolecular chemistry and DNA nanotechnology relying on fuel‐driven out‐of‐equilibrium concepts have not been implemented into microgel systems. Here, we introduce chemically fueled transient volume phase transitions (VPTs) for poly(methacrylic acid) (PMAA) microgels, where the collapsed hydrophobic state can be programmed using the fuel concentration in a cyclic reaction network. We discuss details of the system behavior as a function of pH and fuel amount, unravel kinetically trapped regions and showcase transient encapsulation and time‐programmed release as a first application.
A 13 mer LNA-i-miR-221 Inhibitor Restores Drug Sensitivity in Melphalan-Refractory Multiple Myeloma Cells (2015)

Taken together, our findings provide the proof of concept that LNA-i-miR-221 can reverse melphalan resistance in preclinical models of multiple myeloma, providing the framework for clinical trials to overcome drug resistance, and improve patient outcome in multiple myeloma.
Update in Mechanical Ventilation 2010 (2011)

This article reviews selected contributions published in 2010 regarding epidemiology, clinical use, and consequences of invasive and noninvasive mechanical ventilation (MV). This includes the use of protective ventilation and of different modes, some specific risks of MV, such as ventilator-induced diaphragm dysfunction, and the importance of spontaneous breathing activity under MV, with or without sedation.
Complement Abnormalities in Human Disease (1978)

More than a score of different protein molecules have been identified as participants in the complement system. For a majority of these molecules, specific genetic defects have been identified, with many expressing themselves in lupus-like disease. In addition, a number of conditions have been identified in which complement-mediated pathology is involved. For some of these conditions, specific therapy is now available.
Designing sensor sets for capturing energy events in buildings (2014)

We study the problem of designing sensor sets for capturing energy events in buildings. In addition to direct energy sensing methods, e.g. electricity and gas, it is often desirable to monitor energy use and occupant activity through other sensors such as temperature and motion. However, practical constraints such as cost and deployment requirements can limit the choice, quantity and quality of sensors that can be distributed within each building, especially for large-scale deployments. In this paper, we present an approach to select a set of sensors for capturing energy events, using a measure of each candidate sensor's ability to predict energy events within a building. We use constrained optimisation -- specifically, a bounded knapsack problem (BKP) -- to choose the best sensors for the set given each sensor's predictive value and specified cost constraints. We present the results from a field study of 4 UK homes with temperature, light, motion, humidity, sound and CO2 sensors, showing how valuable yet expensive sensors are often not chosen in the optimal set.