gebhart/patrepeval huggingface dataset:
Measurement of in situ rates of selenate removal by dissimilatory bacterial reduction in sediments (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMeasurement of in situ rates of selenate removal by dissimilatory bacterial reduction in sedimentsRonald S. Oremland, Nisan A. Steinberg, Ann S. Maest, Laurence G. Miller, and James T. HollibaughCite this: Environ. Sci. Technol. 1990, 24, 8, 1157–1164Publication Date (Print):August 1, 1990Publication History Published online1 May 2002Published inissue 1 August 1990https://doi.org/10.1021/es00078a001Request reuse permissionsArticle Views367Altmetric-Citations116LEARN 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 InReddit PDF (2 MB) Get e-Alertsclose Get e-Alerts
Efficient Learning on Point Clouds With Basis Point Sets (2019)

With an increased availability of 3D scanning technology, point clouds are moving into the focus of computer vision as a rich representation of everyday scenes. However, they are hard to handle for machine learning algorithms due to the unordered structure. One common approach is to apply voxelization, which dramatically increases the amount of data stored and at the same time loses details through discretization. Recently, deep learning models with hand-tailored architectures were proposed to handle point clouds directly and achieve input permutation invariance. However, these architectures use an increased number of parameters and are computationally inefficient. In this work we propose basis point sets as a highly efficient and fully general way to process point clouds with machine learning algorithms. Basis point sets are a residual representation that can be computed efficiently and can be used with standard neural network architectures. Using the proposed representation as the input to a relatively simple network allows us to match the performance of PointNet on a shape classification task while using three order of magnitudes less floating point operations. In a second experiment, we show how proposed representation can be used for obtaining high resolution meshes from noisy 3D scans. Here, our network achieves performance comparable to the state-of-the-art computationally intense multi-step frameworks, in one network pass that can be done in less than 1ms.
A study on hourglass-worm gearings designed to concentrate surface normals. A gear disign using an hourglass-worm gearing with an arcuate tooth profile. (1990)

In order to avoid the influence of the displacement of gear axes under load upon tooth contact, the authors propose that a projective group of the surface normals should be concentrated upon the intersection point of the plane perpendicular to the wheel axis and the axis about which the worm axis rotates, displacing its position relative to the wheel. This idea was applied to the gear design using an hourglass-worm gearing with an arcuate tooth profile. A numerical analysis indicated that as much as 70∼80 % of the theoretical area of the utilized gear contributed to meshing at their estimated displacement positions.
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios (2022)

Backdoor attacks (BAs) are an emerging threat to deep neural network classifiers. A victim classifier will predict to an attacker-desired target class whenever a test sample is embedded with the same backdoor pattern (BP) that was used to poison the classifier's training set. Detecting whether a classifier is backdoor attacked is not easy in practice, especially when the defender is, e.g., a downstream user without access to the classifier's training set. This challenge is addressed here by a reverse-engineering defense (RED), which has been shown to yield state-of-the-art performance in several domains. However, existing REDs are not applicable when there are only {\it two classes} or when {\it multiple attacks} are present. These scenarios are first studied in the current paper, under the practical constraints that the defender neither has access to the classifier's training set nor to supervision from clean reference classifiers trained for the same domain. We propose a detection framework based on BP reverse-engineering and a novel {\it expected transferability} (ET) statistic. We show that our ET statistic is effective {\it using the same detection threshold}, irrespective of the classification domain, the attack configuration, and the BP reverse-engineering algorithm that is used. The excellent performance of our method is demonstrated on six benchmark datasets. Notably, our detection framework is also applicable to multi-class scenarios with multiple attacks. Code is available at https://github.com/zhenxianglance/2ClassBADetection.
Automatic left ventricle detection in MRI images using marginal space learning and component-based voting (2009)

Magnetic resonance imaging (MRI) is currently the gold standard for left ventricle (LV) quantification. Detection of the LV in an MRI image is a prerequisite for functional measurement. However, due to the large variations in orientation, size, shape, and image intensity of the LV, automatic detection of the LV is still a challenging problem. In this paper, we propose to use marginal space learning (MSL) to exploit the recent advances in learning discriminative classifiers. Instead of learning a monolithic classifier directly in the five dimensional object pose space (two dimensions for position, one for orientation, and two for anisotropic scaling) as full space learning (FSL) does, we train three detectors, namely, the position detector, the position-orientation detector, and the position-orientation-scale detector. Comparative experiments show that MSL significantly outperforms FSL in both speed and accuracy. Additionally, we also detect several LV landmarks, such as the LV apex and two annulus points. If we combine the detected candidates from both the whole-object detector and landmark detectors, we can further improve the system robustness. A novel voting based strategy is devised to combine the detected candidates by all detectors. Experiments show component-based voting can reduce the detection outliers.
Investigations of Enantiopure Nicotine Haptens Using an Adjuvanting Carrier in Anti-Nicotine Vaccine Development (2016)

Despite efforts to produce suitable smoking cessation aids, addiction to nicotine continues to carry a substantive risk of recidivism. An attractive alternative to current therapies is the pharmacokinetic strategy of antinicotine vaccination. A major hurdle in the development of the strategy has been to elicit a sufficiently high antibody concentration to curb nicotine distribution to the brain. Herein, we detail investigations into a new hapten design, which was able to elicit an antibody response of significantly higher specificity for nicotine. We also explore the use of a mutant flagellin carrier protein with adjuvanting properties. These studies underlie the feasibility of improvement in antinicotine vaccine formulations to move toward clinical efficacy.
A new viscometer for rheological measurements on settling suspensions (1995)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation B. Klein, J. S. Laskowski, S. J. Partridge; A new viscometer for rheological measurements on settling suspensions. J. Rheol. 1 September 1995; 39 (5): 827–840. https://doi.org/10.1122/1.550620 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentThe Society of RheologyJournal of Rheology Search Advanced Search |Citation Search
Measuring Tempo, Rhythm, Timing, and the Torques that Generate Power in\n the Golf Swing (2010)

This paper summarizes two previously published technical papers describing\nwhat can be learned from measuring the motion of the golf club using two\naccelerometers. The sensors are mounted at different points along the shaft of\nthe golf club, both sensitive to acceleration along the axis of the shaft. Two\ndistinct signals are resolved. The first signal scales as club speed, which can\nbe used to understand details of tempo, rhythm, and timing. The second measures\nthe acceleration of the hands, which reveals the torques that generate power in\nthe golf swing. A comparative study of twenty-five golfers shows that club\nspeed is generated in the downswing as a two step process. The first phase\nstarts at the top of the swing and involves impulsive acceleration of the hands\nand club. This is followed by a second phase, the release, where the club is\naccelerated while the hands decelerate.\n
Epstein-Barr Virus Transformation of B Lymphocytes: Molecular Pathogenesis (1989)

Primary Epstein-Barr Virus (EBV) infection begins in the oropharynx where the virus establishes persistent infection of epithelial cells through continued cycles of infection, virus replication, cell death, virus release and infection of new cells. Early in primary infection, virus spreads from epithelial cells to subepithelial B lymphocytes. Infected B lymphocytes are largely non-permissive for virus replication. EBV establishes latent infection in B lymphocytes and transforms these cells so that they can secrete immunoglobulin and proliferate indefinitely in vitro. In immune deficient humans, EBV infected lymphocytes can also proliferate into malignant tumors. In latently infected B lymphocytes, EBV characteristically expresses a restricted set of virus genes which are presumed to i) maintain latent virus genome persistence, ii) cause the B lymphocyte growth transformation associated with latent viral infection and iii) represent targets for the immune response which is responsible for the prevention of outgrowth of latently infected B lymphocytes in humans.
Identification of CD109 as part of the TGF‐β receptor system in human keratinocytes (2006)

We have previously reported that keratinocytes defective in glycosylphosphatidylinositol (GPI)-anchor biosynthesis display enhanced TGF-beta responses. These studies implicated the involvement of a 150 kDa GPI-anchored TGF-beta1 binding protein, r150, in modulating TGF-beta signaling. Here, we sought to determine the molecular identity of r150 by affinity purification and microsequencing. Our results identify r150 as CD109, a novel member of the alpha2-macroglobulin (alpha2M)/complement superfamily, whose function has remained obscure. In addition, we have identified a novel CD109 isoform that occurs in the human placenta but not keratinocytes. Biochemical studies show that r150 contains an internal thioester bond, a defining feature of the alpha2M/complement family. Loss and gain of function studies demonstrate that CD109 is a component of the TGF-beta receptor system, and a negative modulator of TGF-beta responses in keratinocytes, as implicated for r150. Our data suggest that CD109 can inhibit TGF-beta signaling independently of ligand sequestration and may exert its effect on TGF-beta signaling by direct modulation of receptor activity. Together, our results linking CD109 function to regulation of TGF-beta signaling suggest that CD109 plays a unique role in the regulation of isoform-specific TGF-beta signaling in keratinocytes.
Electro-Absorption and Refraction by Electron Transfer in Asymmetric Modulation-doped Multiple Quantum Well Structures. (1989)

Remarkable changes in the absorption spectrum of n-type modulation doped quantum wells (QW) are produced by varying the electron concentration inside the QW in field effect structures 1,2 . In the vicinity of the gap, the dominant process is phase space filling. It results in a bleaching of the exciton resonances and a net blue shift of the absorption edge, similar to the Bumstein-Moss shift seen in bulk materials. So far the effect was only demonstrated on single QW, where the carriers were moved in the plan, in and out of the deplition region of a Schottky contact 3,4 . In this paper we present and demonstrate a novel concept of electric field driven electron transfer in and out of a multiple period QW structure by providing a reservoir of charges in close proximity to each QW. We report measurements of the differential absorption and the refraction associated with this electron transfer in a 10 Reservoir-QW period.
Structural characterisation of the catalytic domain of botulinum neurotoxin X - high activity and unique substrate specificity (2018)

Botulinum neurotoxins (BoNTs) are among the most potent toxins known and are also used to treat an increasing number of medical disorders. There are seven well-established serotypes (BoNT/A-G), which all act as zinc-dependent endopeptidases targeting specific members of the SNARE proteins required for synaptic vesicle exocytosis in neurons. A new toxin serotype, BoNT/X, was recently identified. It cleaves not only the canonical targets, vesicle associated membrane proteins (VAMP) 1/2/3 at a unique site, but also has the unique ability to cleave VAMP4/5 and Ykt6. Here we report the 1.35 Å X-ray crystal structure of the light chain of BoNT/X (LC/X). LC/X shares the core fold common to all other BoNTs, demonstrating that LC/X is a bona fide member of BoNT-LCs. We found that access to the catalytic pocket of LC/X is more restricted, and the regions lining the catalytic pocket are not conserved compared to other BoNTs. Kinetic studies revealed that LC/X cleaves VAMP1 with a ten times higher efficiency than BoNT/B and the tetanus neurotoxin. The structural information provides a molecular basis to understand the convergence/divergence between BoNT/X and other BoNTs, to develop effective LC inhibitors, and to engineer new scientific tools and therapeutic toxins targeting distinct SNARE proteins in cells.
Thermometry By Optical Fibers And A Thermochromic Transducer (1987)

This paper presents a new temperature sensor that utilizes multimode optical fibers for light transmission and a thermochromic transducer for temperature sensing. The working principle of the transducer, technical data on the optoelectronic system, and experimental results are presented.
Fast multi-language LSTM-based online handwriting recognition (2020)

Abstract We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture. This new system has completely replaced our previous segment-and-decode-based system and reduced the error rate by 20–40% relative for most languages. Further, we report new state-of-the-art results on IAM-OnDB for both the open and closed dataset setting. The system combines methods from sequence recognition with a new input encoding using Bézier curves. This leads to up to $$10\times $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>10</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math> faster recognition times compared to our previous system. Through a series of experiments, we determine the optimal configuration of our models and report the results of our setup on a number of additional public datasets.
A combined ion source for fast switching between electrospray and matrix‐assisted laser desorption/ionization in Fourier transform ion cyclotron resonance mass spectrometry (2002)

A new ion source has been developed for Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS) that enables quick changes between matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) modes. When operating as an ESI source, the sample solution is sprayed through an angled nebulizer. The generated ions pass through a glass capillary followed by a skimmer and three sequential hexapole ion guides. Ions can be accumulated in the third hexapole (storage hexapole) before they are injected into the ICR trap. The second hexapole is mounted on a movable platform which also carries the MALDI sample plate. During the switch from ESI to MALDI, this platform moves the second hexapole out of the hexapole series and locates a MALDI sample plate with 384 sample positions into the area directly in front of the storage hexapole. The storage hexapole is in a medium pressure chamber (MPC) which has windows both for the incoming laser beam and for the observation optics, as well as a gas tube for pulsing collision gas into the chamber. During the MALDI operation the focused laser beam enters the MPC, passes between the hexapole rods and irradiates a MALDI sample on the target plate. The sample molecules are desorbed/ionized into the storage hexapole and simultaneously cooled by collisions with the pulsed gas. Ions desorbed from multiple laser shots can be accumulated in this hexapole before they are transferred to the ICR trap. With the combined ion source a computer-controlled switch between MALDI and ESI modes is possible in less than a minute, depending on the position of the MALDI target on the 384-spot plate. Immediate acquisition of mass spectra is possible after mode switching without the need for tuning or re-calibration.
Nucleation of Graphene Layers on Magnetic Oxides: Co<sub>3</sub>O<sub>4</sub>(111) and Cr<sub>2</sub>O<sub>3</sub>(0001) from Theory and Experiment (2016)

We report directly grown strongly adherent graphene on Co<sub>3</sub>O<sub>4</sub>(111) by carbon molecular beam epitaxy (C MBE) at 850 K and density functional theory (DFT) findings that the first graphene layer is reconstructed to fit the Co<sub>3</sub>O<sub>4</sub> surface, while subsequent layers retain normal graphene structure. This adherence to the Co<sub>3</sub>O<sub>4</sub> structure results from partial bonding of half the carbons to top oxygens of the substrate. This structure is validated by X-ray photoelectron spectroscopy and low-energy electron diffraction studies, showing layer-by-layer graphene growth with ∼0.08 electrons/carbon atom transferred to the oxide from the first graphene layer, in agreement with DFT. In contrast, for Cr<sub>2</sub>O<sub>3</sub> DFT finds no strong bonding to the surface and C MBE on Cr<sub>2</sub>O<sub>3</sub>(0001) yields only graphite formation at 700 K, with C desorption above 800 K. Thus strong graphene-to-oxide charge transfer aids nucleation of graphene on incommensurate oxide substrates and may have implications for spintronics.
Detection of Pneumocystis carinii by fluorescent-antibody stain using a combination of three monoclonal antibodies (1987)

A combination of three monoclonal antibodies, two prepared against human and one against rat Pneumocystis carinii, was used in an indirect fluorescent-antibody stain (IFA) to diagnose P. carinii in both bronchoalveolar lavage and lung biopsy specimens. This combination of monoclonal antibodies was specific for P. carinii and yielded bright fluorescence of both P. carinii cysts and trophozoites. A total of 126 specimens from 93 patients were stained for P. carinii by a toluidine blue O stain and the monoclonal IFA. Forty-five (35.7%) of these were positive for P. carinii by toluidine blue O, and 43 (34.1%) were positive by IFA. There was 98.4% agreement between both methods, with no false-positive and two false-negative occurrences by IFA. An IFA procedure with monoclonal antibodies such as those used in these studies can provide a simple, fast, and sensitive method for diagnosing P. carinii pneumonia by microbiology laboratories.
BUSFET-a radiation-hardened SOI transistor (1999)

The total-dose hardness of SOI technology is limited by radiation-induced charge trapping in gate, field, and SOI buried oxides. Charge trapping in the buried oxide can lead to back-channel leakage and makes hardening SOI transistors more challenging than hardening bulk-silicon transistors. Two avenues for hardening the back-channel are 1) to use specially prepared SOI buried oxides that reduce the net amount of trapped positive charge or 2) to design transistors that are less sensitive to the effects of trapped charge in the buried oxide. In this work, we propose a partially-depleted SOI transistor structure for mitigating the effects of trapped charge in the buried oxide on radiation hardness. We call this structure the BUSFET-Body Under Source FET. The BUSFET utilizes a shallow source and a deep drain. As a result, the silicon depletion region at the back channel caused by radiation-induced charge trapping in the buried oxide does not form a conducting path between source and drain. Thus, the BUSFET structure design can significantly reduce radiation-induced back-channel leakage without using specially prepared buried oxides. Total dose hardness is achieved without degrading the intrinsic SEU or dose rate hardness of SOI technology. The effectiveness of the BUSFET structure for reducing total-dose back-channel leakage depends on several variables, including the top silicon film thickness and doping concentration, and the depth of the source.
Crowd Density Forecasting by Modeling Patch-Based Dynamics (2020)

Forecasting human activities observed in videos is a long-standing challenge in computer vision and robotics and is also beneficial for various real-world applications such as mobile robot navigation and drone landing. In this work, we present a new forecasting task called crowd density forecasting. Given a video of a crowd captured by a surveillance camera, our goal is to predict how the density of the crowd will change in unseen future frames. To address this task, we developed the patch-based density forecasting networks (PDFNs), which directly forecasts crowd density maps of future frames instead of trajectories of each moving person in the crowd. The PDFNs represent crowd density maps based on spatially or spatiotemporally overlapping patches and learn a simple density dynamics of fewer people in each patch. Doing so allows us to efficiently deal with diverse and complex crowd density dynamics observed when input videos involve a variable number of crowds moving independently. Experimental results with several public datasets of surveillance videos demonstrate the effectiveness of our approaches compared with state-of-the-art forecasting methods.
Neurotoxicity of channel mutations in heterologously expressed α7‐nicotinic acetylcholine receptors (2001)

Nicotinic acetylcholine receptors (nAChR) composed of chick alpha7 subunits mutated to threonine at amino acid valine-251 in the putative channel-lining M2 domain were expressed heterologously in several neuron-like and non-neuronal mammalian cell lines. Expression of mutant alpha7-nAChR is toxic to neuron-like cells of the human neuroblastoma cell lines SH-SY5Y and IMR-32, but not to several other cell types. Growth in the presence of the alpha7-nAChR antagonist methyllycaconitine (MLA) protects against neurotoxicity, as does gradual downregulation of functional, mutant alpha7-nAChR in surviving transfected SH-SY5Y cells. Relative to wild-type alpha7-nAChR, functional alpha7-nAChR mutants show a higher affinity for agonists, slower rates of desensitization, and sensitivity to dihydro-beta-erythroidine (DHbetaE) as an agonist, but they retain sensitivity to MLA as a competitive antagonist. These findings demonstrate that expression of hyperfunctional, mutant forms of Ca2+-permeable alpha7-nAChR is toxic to neuron-like cells.