gebhart/patrepeval huggingface dataset:
A New Computational Efficient Approach for Trabecular Bone Analysis using Beam Models Generated with Skeletonized Graph Technique (2004)

Micro-finite element (FE) analysis is a well established technique for the evaluation of the elastic properties of trabecular bone, but is limited in its application due to the large number of elements that it requires to represent the complex internal structure of the bone. In this paper, we present an alternative FE approach that makes use of a recently developed 3D-Line Skeleton Graph Analysis (LSGA) technique to represent the complex internal structure of trabecular bone as a network of simple straight beam elements in which the beams are assigned geometrical properties of the trabeculae that they represent. Since an enormous reduction of cputime can be obtained with this beam modeling approach, ranging from approximately 1,200 to 3,600 for the problems investigated here, we think that the FE modeling technique that we introduced could potentially constitute an interesting alternative for the evaluation of the elastic mechanical properties of trabecular bone.
Task and Bandwidth Allocation for UAV-Assisted Mobile Edge Computing with Trajectory Design (2019)

In this paper, we investigate a mobile edge computing (MEC) architecture with the assistance of an unmanned aerial vehicle (UAV). The UAV acts as a computing server to help the user equipment (UEs) compute their tasks as well as a relay to further offload the UEs' tasks to the access point (AP) for computing. The total energy consumption of the UAV and UEs is minimized by jointly optimizing the task allocation, the bandwidth allocation and the UAV's trajectory, subject to the task constraints, the information-causality constraints, the bandwidth allocation constraints, and the UAV's trajectory constraints. The formulated optimization problem is nonconvex, and we propose an alternating algorithm to optimize the parameters iteratively. The effectiveness of the algorithm is verified by the simulation results, where great performance gain is achieved in comparison with some practical baselines, especially in handling the computation-intensive and latency-critical tasks.
Regulation of galactokinase gene expression in Tetrahymena thermophila. I. Intracellular catecholamine control of galactokinase expression. (1985)

The addition of glucose to the medium of Tetrahymena thermophila results in a 7-fold repression of galactokinase (EC 2.7.1.6; ATP:D-galactose-1-phosphotransferase). The presence of millimolar amounts of the catecholamines dopa, dopamine, norepinephrine, and epinephrine or the hormone glucagon also results in the repression of galactokinase in the absence of glucose. The addition of millimolar amounts of adrenergic agonists (isoproterenol, tyramine, 2-amino-6,7-dihydroxytetrahydronaphthalene) results in significant repression of galactokinase in the absence of glucose; concentrations of 2-amino-6,7-dihydroxytetrahydronaphthalene less than or equal to 10(-4) M result in a derepression of galactokinase specific activity. Addition of adrenergic antagonists (propranolol, dichloroisoproterenol) have no effect on galactokinase activity at concentrations less than 10(-4) M but do arrest cell growth at greater concentrations. The addition of the cAMP analogs caffeine or theophylline in millimolar amounts results in repression of galactokinase activity; however, cell growth is greatly slowed or completely arrested at these concentrations. Analysis of the repression response of several mutants demonstrates that mutants deficient in catecholamine biosynthesis are altered in their regulation of galactokinase. Measurements of intracellular cAMP levels for 0-24 h following the addition of several of the above compounds to exponentially growing cells did not demonstrate any change over this period. Measurement of intracellular cAMP levels for 24 h following the addition of glucose or galactose to exponentially growing wild-type and mutant cell strains did not demonstrate any difference in cAMP concentrations over this period although a wide range of galactokinase activity was exhibited. Starvation of wild-type cells prior to the addition of glucose in minimal medium without added carbohydrate resulted in a significant increase in cAMP following the addition of glucose. This increase is demonstrated to be dependent upon the ability of the cells to resume division after the arrest of growth and is not correlated with galactokinase regulation. These results support the conclusion that cAMP is not involved in the repression of galactokinase gene expression initiated by glucose or hormone-like effectors and demonstrate the participation of an adrenergic control system in galactokinase regulation which is subordinate to the regulation by glucose. A possible model is discussed.
Exploiting Spatial Correlation in Convolutional Neural Networks for Activation Value Prediction. (2018)

Convolutional neural networks (CNNs) are a widely used form of deep neural networks, introducing state-of-the-art results for different problems such as image classification, computer vision tasks, and speech recognition. However, CNNs are compute intensive, requiring billions of multiply-accumulate (MAC) operations per input. To reduce the number of MACs in CNNs, we propose a value prediction method that exploits the spatial correlation of zero-valued activations within the CNN output feature maps, thereby saving convolution operations. Our method reduces the number of MAC operations by 30.4%, averaged on three modern CNNs for ImageNet, with top-1 accuracy degradation of 1.7%, and top-5 accuracy degradation of 1.1%.
Carbofuran hydrolase - purification and properties (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCarbofuran hydrolase - purification and propertiesJeffrey S. Karns and Paul H. TomasekCite this: J. Agric. Food Chem. 1991, 39, 5, 1004–1008Publication Date (Print):May 1, 1991Publication History Published online1 May 2002Published inissue 1 May 1991https://pubs.acs.org/doi/10.1021/jf00005a041https://doi.org/10.1021/jf00005a041research-articleACS PublicationsRequest reuse permissionsArticle Views165Altmetric-Citations42LEARN 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
SIMULINK BASED MODELING, ANALYSIS AND SIMULATION OF SELF EXCITED INDUCTION GENERATOR FOR USE IN REMOTE AREAS (2013)

In remote location/ far off areas where transmission cost is very high, harnessing of electrical energy from local resources are very much in use. In this paper modeling, analysis and simulation of Self Excited induction generator at variable loads with Electronic Load Controller is discussed. The modeling and simulation has been done in simpowersystem block set of MATLAB/ SIMULINK environment. The power in surplus of the consumer load is dumped in a resistance through an ELC. The excess power dumped in resistance can be used for heating purposes.
Mitigation of tin whiskers with polymer coatings (2010)

A significant majority of component terminations are finished with electroplated tin. This finish offers a number of process advantages, but does have an intrinsic reliability issue. During ageing of the tin stresses can build in the finish that can result in the growth of a single crystal of tin out of the surface, a so-called tin whisker. Such whiskers can grow to a few hundred microns and cause a short circuit between component terminations. Although great advances in tin chemistry have dramatically reduced the incidence of tin whiskers, no finish is guaranteed as whisker free. This has lead to exploration of mitigation strategies, prime among which is the application of a thin conformal polymer coating. Such coatings have been used extensively for environmental protection, but now they are being explored in the role of mitigation. This project discusses a technique that explores a characterisation route for the performance of polymer coatings. Work with coating chemistry suppliers' reveals that variation in the mechanical properties of the coatings affects the mitigation potential.
Multiwavelength Observations of the Obscuring Wind in the Radio-quiet Quasar MR 2251-178 (2022)

Abstract Obscuring winds driven away from active supermassive black holes are rarely seen due to their transient nature. They have been observed with multiwavelength observations in a few Seyfert 1 galaxies and one broad absorption line radio-quiet quasar so far. An X-ray obscuration event in MR 2251-178 was caught in late-2020, which triggered multiwavelength (near-IR (NIR) to X-ray) observations targeting this radio-quiet quasar. In the X-ray band, the obscurer leads to a flux drop in the soft X-ray band from late-2020 to early-2021. X-ray obscuration events might have a quasi-period of two decades considering earlier events in 1980 and 1996. In the UV band, a forest of weak blueshifted absorption features emerged in the blue wing of Ly α λ 1216 in late-2020. Our XMM-Newton, NuSTAR, and Hubble Space Telescope/COS observations are obtained simultaneously; hence, the transient X-ray obscuration event is expected to account for the UV outflow, although they are not necessarily caused by the same part of the wind. Both blueshifted and redshifted absorption features were found for He i λ 10830, but no previous NIR spectra are available for comparison. The X-ray observational features of MR 2251-178 shared similarities with some other type 1 active galactic nuclei (AGNs) with obscuring wind. However, observational features in the UV to NIR bands are distinctly different from those seen in other AGN with obscuring winds. A general understanding of the observational variety and the nature of obscuring wind is still lacking.
Flexible and Transparent Silicon‐on‐Polymer Based Sub‐20 nm Non‐planar 3D FinFET for Brain‐Architecture Inspired Computation (2014)

An industry standard 8'' silicon-on-insulator wafer based ultra-thin (1 μm), ultra-light-weight, fully flexible and remarkably transparent state-of-the-art non-planar three dimensional (3D) FinFET is shown. Introduced by Intel Corporation in 2011 as the most advanced transistor architecture, it reveals sub-20 nm features and the highest performance ever reported for a flexible transistor.
Personalizing Revision Tibial Baseplate Position and Stem Trajectory With Custom Implants Using 3D Modeling to Optimize Press-fit Stem Placement (2022)

Custom free-angle stem placement allows for increased stem diameter and cortical contact of press-fit tibial stems compared to existing constructs that must interface with the baseplate at a 90-degree angle. Current revision tibia implants limit fixation of tibial press-fit stems and often mismatch with patient anatomy. Alternative ways to fit patient anatomy may be beneficial for patients with extreme mismatch. In the future, custom keel angles may help to resolve this problem.
Enzymatic Process for the Synthesis of cis/trans-(1R,5R)-Bicyclo[3.2.0]hept- 6-ylidene-acetate:  Solvent Effect and NMR Study (2006)

An efficient enzymatic process has been developed to resolve a diastereomeric mixture of racemic ethyl bicyclo[3.2.0]hept-6-ylidene-acetate (1). Using 40% acetone, not only was the enantioselectivity of Candida antarctica lipase B (CAL-B) significantly improved to E > 200 from E = 2.7, remarkably the enzyme is able to maintain low diastereoselectivity for the Z (cis)- and E (trans)-isomers leading to an overall high isolated yield (40−45%, vs maximum theoretical yield 50%) and excellent enantiomeric excess (>98.5% ee). Preliminary studies using 2D TROSY shows that there is probably a global conformational change in the N15-labeled enzyme CAL-B when the content of organic cosolvents increases from 0% to 30%. The route was successfully scaled to 63 kg for the synthesis of GABA analogues.
Interrelations between translation and general mRNA degradation in yeast (2014)

Messenger RNA (mRNA) degradation is an important element of gene expression that can be modulated by alterations in translation, such as reductions in initiation or elongation rates. Reducing translation initiation strongly affects mRNA degradation by driving mRNA toward the assembly of a decapping complex, leading to decapping. While mRNA stability decreases as a consequence of translational inhibition, in apparent contradiction several external stresses both inhibit translation initiation and stabilize mRNA. A key difference in these processes is that stresses induce multiple responses, one of which stabilizes mRNAs at the initial and rate-limiting step of general mRNA decay. Because this increase in mRNA stability is directly induced by stress, it is independent of the translational effects of stress, which provide the cell with an opportunity to assess its response to changing environmental conditions. After assessment, the cell can store mRNAs, reinitiate their translation or, alternatively, embark on a program of enhanced mRNA decay en masse. Finally, recent results suggest that mRNA decay is not limited to non-translating messages and can occur when ribosomes are not initiating but are still elongating on mRNA. This review will discuss the models for the mechanisms of these processes and recent developments in understanding the relationship between translation and general mRNA degradation, with a focus on yeast as a model system.
Structure functions in turbulence, in various flow configurations, at Reynolds number between 30 and 5000, using extended self-similarity (1996)

A summary of experimental results on structure functions obtained using extended self-similarity in various flow configurations (jet, grid, mixing layer, duct flow, cylinder) at Reynolds numbers ranging between 30 and 5000 is presented.
MediaEval 2015: Recurrent neural network approach to emotion in music tack (2015)

This paper describes our work for the “Emotion in Music” task of MediaEval 2015. The goal of the task is predicting affective content of a song. The affective content is presented in terms of valence and arousal criterions, which are shown in a timecontinuous fashion. We adopt deep recurrent neural network (DRNN) to predict the valence and arousal for each moment of a song, and Limited-Memory-Broyden–Fletcher–Goldfarb– Shanno algorithm (LBFGS) is used to update the weights when doing back-propagation. DRNN considers the target of the previous time segments when predicting the target of the current time segment. Such time-considering manners of predictions are believed to achieve better performance in comparison of common machine learning models. We finally use the baseline feature set, adopted by the champion of last year, after comparing it with our feature set. A 10-fold cross validation evaluation is used to do the inner-experiments. The system achieves r values of -0.5904 for valence and 0.4195 for arousal. The Root-Mean-Squared Error (RMSE) for valence and arousal are 0.4054 and 0.3804, respectively. For the evaluation dataset, the system achieves r values of -0.0103+-0.3420 for valence and 0.3417+-0.2501 for arousal. The Root-Mean-Squared Error for valence and arousal are 0.3359+-0.1614 and 0.2555+-0.1255, respectively.
What metrics can be approximated by geo-cuts, or global optimization of length/area and flux (2005)

In the work of the authors (2003), we showed that graph cuts can find hypersurfaces of globally minimal length (or area) under any Riemannian metric. Here we show that graph cuts on directed regular grids can approximate a significantly more general class of continuous non-symmetric metrics. Using submodularity condition (Boros and Hammer, 2002 and Kolmogorov and Zabih, 2004), we obtain a tight characterization of graph-representable metrics. Such "submodular" metrics have an elegant geometric interpretation via hypersurface functionals combining length/area and flux. Practically speaking, we attend 'geo-cuts' algorithm to a wider class of geometrically motivated hypersurface functionals and show how to globally optimize any combination of length/area and flux of a given vector field. The concept of flux was recently introduced into computer vision by Vasilevskiy and Siddiqi (2002) but it was mainly studied within variational framework so far. We are first to show that flux can be integrated into graph cuts as well. Combining geometric concepts of flux and length/area within the global optimization framework of graph cuts allows principled discrete segmentation models and advances the slate of the art for the graph cuts methods in vision. In particular we address the "shrinking" problem of graph cuts, improve segmentation of long thin objects, and introduce useful shape constraints.
Wavelet analysis of pulse oximeter waveform permits identification of unwell children (2004)

Wavelet transform of the photoplethysmogram offers the possibility of a rapid non-invasive method of screening children for significant illness.
On the Complementarity of Sparse L0 and CEL0 Regularized Loss Landscapes for DOA Estimation (2021)

L0 sparse methods are not widespread in Direction-Of-Arrival (DOA) estimation yet, despite their potential superiority over classical methods in difficult scenarios. This comes from the difficulties encountered for global optimization on hill-climbing error surfaces. In this paper, we explore the loss landscapes of L0 and Continuous Exact L0 (CEL0) regularized problems in order to design a new optimization scheme. As expected, we observe that the recently introduced CEL0 penalty leads to an error surface with less local minima than the L0 one. This property explains the good behavior of the CEL0-regularized sparse DOA estimation problem for well-separated sources. Unfortunately, CEL0-regularized landscape enlarges L0-basins in the middle of close sources, and CEL0 methods are thus unable to resolve two close sources. Consequently, we propose to alternate between both error surfaces to increase the probability of reaching the global solution. Experiments show that the proposed approach offers better performance than existing ones, and particularly an enhanced resolution limit.
Shared decision making and consent (2014)

Off-label use becomes an ethical issue when the principle of informed consent is introduced. Informed consent demands that patients give their consent to any treatment or research protocol that a clinician proposes. This chapter focuses on the viewpoints of the patient and the prescriber, and how they see off-label medicine. The role of pharmacists was originally limited to dispensing prescriptions that were handed to them by doctors, but the present trend is for their responsibilities to be widened, so that they can also prescribe. There is a strange parallel between the arguments in defence of a physician's decision to prescribe off-label and that to defend pharmaceutical off-label marketing. Diagnosis is a central part of the emerging electronic healthcare record landscape, where a patient's condition needs to be defined according to a discrete list of possibilities.
Development of an enhanced underwater navigation capability for military combat divers (2016)

Military combat divers conduct underwater navigation missions in conditions with extremely poor visibility. Critical to the success of these missions is accurate underwater navigation, as well as staying within closed circuit oxygen rebreather depth limits. Unfortunately, handheld or tactical board mounted compasses, depth gauges, and chronometers can become virtually useless in the zero visibility environment. This has been an ongoing and serious limitation to military combat diving operations. Naval Surface Warfare Center-Panama City Division (NSWC PCD) is the U.S. Navy's leading laboratory for research, development, testing, evaluation, and technology transition of diving and life support systems, including diver visual display systems. Under a recent joint government development program, NSWC PCD developed a prototype enhanced underwater navigation system for military combat divers. The prototype comprises a micro display, optical lens, electronic compass, depth sensor, microprocessor, associated electronics, and battery integrated into an adjustable position optical display that is mounted to the side of a low volume dive mask. The system provides clear visual display of the diver's compass heading, depth, and swim time regardless of poor visibility conditions. Divers can turn the system ON/OFF, adjust display brightness, use the stopwatch function, and lock their compass heading using the NAVLOK feature. When the NAVLOK button is pressed, the displayed compass heading is boxed, and a trackball icon appears to assist divers in staying on heading. The system operates on a single 3V lithium ion battery which provides 20 + hours of operation. Joint service military divers evaluated the prototypes, conducting a series of underwater navigation exercises in both daylight and nighttime conditions. Participants strongly recommended rapid transition of this new underwater navigation tool to military production status. This paper describes the technical and operational need for such a system by the combat diving community, specifics of the prototype design phases, results of in-water testing by joint service combat divers, and the rapid technology transition plan using a Cooperative Research And Development Agreement (CRADA) for bringing this much needed capability to the joint service military diving community.
Computing endomorphism rings of Jacobians of genus 2 curves over finite fields (2007)

We present algorithms which, given a genus 2 curve $C$ defined over a finite field and a quartic CM field $K$, determine whether the endomorphism ring of the Jacobian $J$ of $C$ is the full ring of integers in $K$. In particular, we present probabilistic algorithms for computing the field of definition of, and the action of Frobenius on, the subgroups $J[\ell^d]$ for prime powers $\ell^d$. We use these algorithms to create the first implementation of Eisenträger and Lauter's algorithm for computing Igusa class polynomials via the Chinese Remainder Theorem \cite{el}, and we demonstrate the algorithm for a few small examples. We observe that in practice the running time of the CRT algorithm is dominated not by the endomorphism ring computation but rather by the need to compute $p^3$ curves for many small primes $p$.
Enol Silyl Ethers via Copper(II)-Catalyzed C–O Bond Formation (2011)

Copper(II) acetate catalyzes the coupling of pinacol vinylboronates with silanols producing enol silyl ethers. This represents a novel enol silyl ether synthesis via formation of the C-O bond instead of the conventional Si-O bond. This also constitutes the first transition-metal-catalyzed oxidative cross-coupling with silanols.