gebhart/patrepeval huggingface dataset:
RNA binding motif (RBM) proteins: A novel family of apoptosis modulators? (2004)

RBM5 is a known modulator of apoptosis, an RNA binding protein, and a putative tumor suppressor. Originally identified as LUCA-15, and subsequently as H37, it was designated "RBM" (for RNA Binding Motif) due to the presence of two RRM (RNA Recognition Motif) domains within the protein coding sequence. Recently, a number of proteins have been attributed with this same RBM designation, based on the presence of one or more RRM consensus sequences. One such protein, RBM3, was also recently found to have apoptotic modulatory capabilities. The high sequence homology at the amino acid level between RBM5, RBM6, and particularly, RBM10 suggests that they, too, may play an important role in regulating apoptosis. It is the intent of this article to ammalgamate the data on the ten originally identified RBM proteins in order to question the existence of a novel family of RNA binding apoptosis regulators.
Constituents of the higher fungi. Part IV. Involutin, a diphenylcyclopenteneone from Paxillus involutus(Oeder ex Fries) (1967)

The isolation of 5-(3′,4′-dihydroxyphenyl)-3,4-dihydroxy-2-(p-hydroxyphenyl)cyclopent-2-ene-1-one from Paxillus involutus(Oeder ex Fries) is described. Properties and reactions of this compound leading to the assignment of its structure are described. The properties of this compound are compared with those of a related synthetic compound.
Chemical and Biological Assessment of Ziziphus jujuba (Jujubes) Fruit from China of Different Geographical Sources and Developmental Stages: Chemical Composition and Possible Targets in Developing Health Food Products (2016)

Jujubes (Ziziphus jujuba Mill.) is a deciduous fruit tree that belongs to the buckthorn family Rhamnaceae based on classification by systematic botany. Chinese jujubes (Z. jujuba Mill.) and the Indian jujubes (Z. mauritiana Lam) are the two major domesticated jujubes (Douglas and Considine 1982). The trees show strong resistance to plant diseases and insects, are cultivated on dry soil, and adapt readily to different environments (Kim and Kim 1988). Both raw and dried jujubes are used as food. Annual production in Korea is estimated at about 13,260 tons.
Nondestructive Characterization of Fusion and Plasma Activated Wafer Bonding Using Mesa and Recess Structures (2014)

We present two methods for characterization of wafer bonding. They are based on recess and mesa bond test structures with various shapes, measurement of unbonded regions using scanning acoustic microscopy (SAM), and image analysis. The first method maps locally the surface energy across the bonded wafers using the measured deformations around these structures and the finite element method (FEM). The FEM analysis is supported by analytical modeling. The second method uses the measured bonding probabilities of 10–19 nm deep recess bond test structures in investigation of surface interactions and in determination of the average of the surface energy at the wafer level. The present methods and proposed optimized test structures allow the evaluation of surface cleans without destructive, off-line methods such as the crack-opening method, which is employed as a reference. The methods are utilized in the investigation of the effect of O2 and N2 plasma activation and the dilution and temperature of Standard Clean 1 on Si/SiO2 direct bonding. The results from both methods correlate with each other. The bond strength of the annealed wafers is observed to increase in the order 1) O2 plasma, 2) standard SC1 at 65°C, 3) N2 plasma, and 4) dilute SC1 at 45°C.
Standards of Mouse Model Phenotyping (2006)

This is the first book in the field of mouse genetics to provide comprehensive and standardized methods for the characterization of laboratory mice. The editor is Director of the German Mouse Clinic and member of the Project Committee of the German National Genome Research Network and provides here a brief introduction to the mouse as a model for diseases and functional analysis of genes and proteins. Throughout, he focuses on the characterization of mouse models using the latest phenotyping methods, with the different areas presented in a clearly structured and easily accessible manner.
Two-Way Molecular Communications (2020)

For nano-scale communications, there must be cooperation and simultaneous communication between nano devices. To this end, in this paper, we investigate two-way (a.k.a. bi-directional) molecular communications between nano devices. If different types of molecules are used for the communication links, the two-way system eliminates the need to consider self-interference. However, in many systems, it is not feasible to use a different type of molecule for each communication link. Thus, we propose a two-way molecular communication system that uses a single type of molecule. We derive a channel model for this system and use it to analyze the proposed system's bit error rate, throughput, and self-interference. Moreover, we propose analog- and digital- self-interference cancellation techniques. The enhancement of link-level performance using these techniques is confirmed with both particle-based simulations and analytical results.
Learning the elasticity parameters of deformable objects with a manipulation robot (2010)

In this paper, we consider the problem of determining the elasticity properties of deformable objects with a mobile manipulator equipped with a force sensorb. We learn the parameters by establishing a relation between the applied forces and the corresponding surface deformations. To determine the parameters, we minimize the difference between the observed surface of an object that is deformed by a real manipulator and the deformed surface obtained with a deformation simulator based on finite element methods. To establish the correspondences between the surfaces, our approach applies a 3D registration technique based on point-clouds which is used as the basis for comparing the results of the simulation system with the observations of the real deformations. As we demonstrate in real-world experiments, our system is able to estimate appropriate parameters that can be used to predict future deformations. This information can directly be incorporated into motion planning approaches that are designed for robots operating with deformable objects.
Constraining Constraints (1999)

Preview this article: Constraining Constraints: NonFinality and the Typology of Foot-extrametricality, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/avt.16.11jac-1.gif
Error-Mitigated Digital Quantum Simulation (2019)

Variational algorithms may enable classically intractable simulations on near-future quantum computers. However, their potential is limited by hardware errors. It is therefore crucial to develop efficient ways to mitigate these errors. Here, we propose a stabilizerlike method which enables the detection of up to 60%-80% of depolarizing errors. Our method is suitable for near-term quantum hardware. Simulations show that our method can significantly benefit calculations subject to both stochastic and correlated noise, especially when combined with existing error mitigation techniques.
Immunpathogenese und Therapie inflammatorischer Myopathien (2008)

Die gegenwärtige Unterteilung sowie die pathogenetischen Konzepte der drei Hauptentitäten inflammatorischer Myopathien, der Polymyositis (PM), der Dermatomyositis (DM) sowie der Einschlusskörpermyositis (IBM) basieren auf einer Kombination von klinischen, histologischen und immunpathologischen Befunden. Die klassischen Pathogenesekonzepte nehmen an, dass bei der Polymyositis und bei der Einschlusskörpermyositis eine immunvermittelte Schädigung durch zytotoxische T-Zellen maßgeblich beteiligt ist. Bei der Dermatomyositis scheinen humoral vermittelte Schädigungen der Kapillaren bzw. kleinen Gefäße ursächlich. Die pathogenetische Bedeutung klonal expandierter CD8-T-Zellen in der Pathogenese der Polymyositis sowie der Einschlusskörpermyositis ist durch verschiedene Untersuchungen in den letzten Jahren gut validiert. Ebenso zeigen neuere Studien die aktive Rolle des Muskels in der direkten Interaktion mit Immunzellen und identifizieren potenzielle therapeutische Zielstrukturen für die Immunintervention. Neuere Erkenntnisse der letzten Jahre, insbesondere zur Pathogenese der Dermatomyositis, erweitern die bislang gültigen hypothetischen Pathogeneseszenarien. Während die Polymyositis und die Dermatomyositis mithilfe konventioneller immunsuppressiver Strategien (v. a. Kortikosteroide, Azathioprin) in den meisten Fällen gut kontrollierbar sind, ist die Mehrheit der Einschlusskörpermyositisfälle immuntherapeutisch kaum modulierbar. Neuere pathogenetische Erkenntnisse haben auch klare Implikationen hinsichtlich der Möglichkeiten immunselektiver Interventionen. Der gegenwärtige Stand zur Pathogenese bzw. Therapie autoimmuner entzündlicher Myopathien wird dargestellt.
pH Responsive and Oxidation Resistant Wet Adhesive based on Reversible Catechol–Boronate Complexation (2016)

A smart adhesive capable of binding to a wetted surface was prepared by copolymerizing dopamine methacrylamide (DMA) and 3-acrylamido phenylboronic acid (AAPBA). pH was used to control the oxidation state and the adhesive property of the catechol side chain of DMA and to trigger the catechol-boronate complexation. FTIR spectroscopy confirmed the formation of the complex at pH 9, which was not present at pH 3. The formation of the catechol-boronate complex increased the cross-linking density of the adhesive network. Most notably, the loss modulus values of the adhesive were more than an order of magnitude higher for adhesive incubated at pH 9 when compared to those measured at pH 3. This drastic increase in the viscous dissipation property is attributed to the introduction of reversible complexation into the adhesive network. Based on the Johnson Kendall Roberts (JKR) contact mechanics test, adhesive containing both DMA and AAPBA demonstrated strong interfacial binding properties (work of adhesion (<i>W</i><sub>adh</sub>) = 2000 mJ/m<sup>2</sup>) to borosilicate glass wetted with an acidic solution (pH 3). When the pH was increased to 9, <i>W</i><sub>adh</sub> values (180 mJ/m<sup>2</sup>) decreased by more than an order of magnitude. During successive contact cycles, the adhesive demonstrated the capability to transition reversibly between its adhesive and nonadhesive states with changing pH. Adhesive containing only DMA responded slowly to repeated changes in pH and became progressively oxidized without the protection of boronic acid. Although adhesive containing only AAPBA also demonstrated strong wet adhesion (<i>W</i><sub>adh</sub> ∼ 500 mJ/m<sup>2</sup>), its adhesive properties were not pH responsive. Both DMA and AAPBA are required to fabricate a smart adhesive with tunable and reversible adhesive properties.
Cardiac tissue engineering: state-of-the-art methods and outlook (2019)

The purpose of this review is to assess the state-of-the-art fabrication methods, advances in genome editing, and the use of machine learning to shape the prospective growth in cardiac tissue engineering. Those interdisciplinary emerging innovations would move forward basic research in this field and their clinical applications. The long-entrenched challenges in this field could be addressed by novel 3-dimensional (3D) scaffold substrates for cardiomyocyte (CM) growth and maturation. Stem cell-based therapy through genome editing techniques can repair gene mutation, control better maturation of CMs or even reveal its molecular clock. Finally, machine learning and precision control for improvements of the construct fabrication process and optimization in tissue-specific clonal selections with an outlook of cardiac tissue engineering are also presented.
Biliary stone disease in acromegaly under somatostatinanalogues: A longterm safety study (2020)

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
Criminal Law In Antarctica: Law West Of The Pecos Revisited (2011)

In a criminal law matter, jurisdiction is often a minor consideration. That is, where the crime is committed determines who has the right to prosecute and what law applies. There may be some jurisdictional issues whether state law or federal law governs in the United States; but this is by and large resolved by one taking jurisdiction. The same would be normally true in the international law area where it was committed. That is, if a crime is committed in France or Germany, then the law where it was committed would prevail subject to other international issues such as diplomatic immunity which would prevent a sovereign from prosecuting. This is not the case in Antarctica because Antarctica belongs to no one particular nation. It is governed by the Antarctic Treaty. The Treaty is mindful of territorial claims and defers to a sector theory as to which criminal law applies. This means in this sovereign-less continent that one cannot tell specifically what criminal law, if any, exists to regulate activities. This has numerous ramifications other than the micro application in one particular case because from a macro point of view actions can occur for which there is no remedy. The analysis limits itself to criminal law issues, but much larger implications exist in the event of an environmental disaster, for example, where there may be no remedy against an offending party.
Commissioning of the J-PET Detector for Studies of Decays of Positronium Atoms (2017)

The Jagiellonian Positron Emission Tomograph (J-PET) is a detector for medical imaging of the whole human body as well as for physics studies involving detection of electron-positron annihilation into photons. J-PET has high angular and time resolution and allows for measurement of spin of the positronium and the momenta and polarization vectors of annihilation quanta. In this article, we present the potential of the J-PET system for background rejection in the decays of positronium atoms.
Development of a new approach for total isocyanate determination using the reagent 9-anthracenylmethyl1-piperazinecarboxylate (2000)

Diisocyanates and polyisocyanates are widely used in the manufacture of polyurethane materials and coatings. Exposure to airborne isocyanate species is known to cause respiratory disorders. Measurement of isocyanate exposure levels has traditionally involved collection and derivatization of isocyanate species in an air sample followed by reversed-phase HPLC analysis. HPLC analysis of isocyanate samples is complicated for several reasons. Air samples may contain isocyanate species of very different reversed-phase retention (e.g., monomeric and polymeric isocyanates) and some species may not even be chromatographable. Also, pure analytical standards are available only for monomeric isocyanates, so non-monomeric isocyanate species are typically quantified based on the response of monomer standards, which assumes that the non-monomeric species have the same response factor as the monomer. Finally, the analysis of the raw chromatographic data containing many peaks is labor intensive. The method described here would circumvent many of the limitations of traditional methods. In this method, isocyanate species are derivatized with 9-anthracenylmethyl 1-piperazinecarboxylate (PAC) upon collection. At this point, a portion of the sample can be analyzed for individual components of interest (such as monomers) and/or a portion can be treated with a reagent that converts all PAC derivatives to a single analyte. Quantification of this analyte gives a measure of total isocyanate group. This paper examines the reactivity of PAC, the separation of PAC derivatives from excess PAC reagent, the conversion of PAC derivatives to a single analyte and the HPLC determination of this analyte and PAC derivatives of several monomeric isocyanates.
A New Pattern Representation Method for Time-Series Data (2019)

The rapid growth of Internet of Things (IoT) and sensing technologies has led to an increasing interest in time-series data analysis. In many domains, detecting patterns of IoT data and interpreting these patterns are challenging issues. There are several methods in time-series analysis that deal with issues such as volume and velocity of IoT data streams. However, analysing the content of the data streams and extracting insights from dynamic IoT data is still a challenging task. In this paper, we propose a pattern representation method which represents time-series frames as vectors by first applying Piecewise Aggregate Approximation (PAA) and then applying Lagrangian Multipliers. This method allows representing continuous data as a series of patterns that can be used and processed by various higher-level methods. We introduce a new change point detection method which uses the constructed patterns in its analysis. We evaluate and compare our representation method with Blocks of Eigenvalues Algorithm (BEATS) and Symbolic Aggregate approXimation (SAX) methods to cluster various datasets. We have evaluated our algorithm using UCR time-series datasets and also a healthcare dataset. The evaluation results show significant improvements in analysing time-series data in our proposed method.
Amorphous thin film white-LED and its light-emitting mechanism (2002)

Thin film light-emitting diodes (TFLEDs) made of amorphous semiconductor silicon carbide (a-SiC:H) have been developed by glow discharge deposition in an SiH/sub 4/+CH/sub 4/ mixture. White light emission is observable in the samples with a structure of either glass/ITO/a-SiC:H/Al or glass/ITO/p-i-n a-SiC:H/Al when a proper critical condition has been established. The light-emitting mechanism associated with these LEDs is suggested to be an irradiative recombination of the electrons in the extended states of the conduction band and the holes in the localized states of the valence band.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Strategies to Optimize the Efficacy of Regional Anesthesia (2016)

The mode of delivery of epidural solutions has progressed from clinician-delivered boluses, to automated continuous epidural infusions and the addition of patient-controlled epidural analgesia (PCEA), and now to programmed intermittent epidural boluses (PIEBs) in addition to PCEA. Currently, there is promising evidence for the use of combination PIEB and PCEA to minimize additional bolus requirements and reduce the amount of local anesthetic consumed, as well as improved patient satisfaction. There are few data regarding this mode of delivery in peripheral nerve catheters. The existing data in the peripheral nerve catheters do not show a clear advantage for the use of the programmed intermittent bolus (PIB) method. More studies are needed in various peripheral nerve/fascia plane blocks to answer this question. Studies looking at the median effective dose in 50% of patients of local anesthetics for labor epidurals (minimum local anesthetic concentration [MLAC]) have allowed the comparison of the relative potency of different local anesthetics. Even though the absolute numbers are not useful, we know that ropivacaine is only 60% as potent as bupivacaine for its analgesic potency and development of motor block, so it provides no advantage over bupivacaine for the labor epidural setting. MLAC studies have also allowed the study of adjuvants and their effect on labor analgesia. Fentanyl, epinephrine, and clonidine have been studied, showing significant local anesthetic–sparing effects. The risks and benefits of each adjuvant should be weighed for each patient, but fentanyl and epinephrine have an excellent benefit-to-risk ratio.
Carbon Nanotubes: Printed Carbon Nanotube Electronics and Sensor Systems (Adv. Mater. 22/2016) (2016)

Printed electronics and sensors enable new applications ranging from low-cost disposable analytical devices to large-area sensor networks. Recent progress in printed carbon nanotube electronics in terms of materials, processing, devices, and applications is discussed on page 4397 by A. Javey and co-workers. The research challenges and opportunities regarding the processing and system-level integration are also discussed for enabling of practical applications.
DNA Methylation Analysis as a Tool for Cell Typing (2006)

Cell therapeutic approaches currently lack definitive quality control measures which guarantee safety in clinical applications and create consistent standards for regulatory approval. These approaches rely on isolation, purification and possibly ex vivo manipulation of donor cells. Since such cells are exposed to artificial environments, there is potential for deviations from natural growth processes. The resulting heterogeneity of cell cultures is an inherent problem. Therefore, verification of cell identity and quantification of subpopulations is mandatory. Focusing on cultured human primary cells, we tested whether DNA methylation patterns serve as distinctive cell type markers. We identified panels of cell type specific differentially methylated gene regions (CDMs) which produce unambiguous profiles for these cell types. Applying methylation sensitive single nucleotide primer extension generated binary cell type descriptors ("barcodes") which allow quantification of cell mixtures. Thus, methylation based analytics suggest themselves as promising tools for the characterization and quality control of ex vivo manipulated cells.
IEEE Access Special Section Editorial: Neural Engineering Informatics (2020)

Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, cognitive systems have been proposed as useful and effective frameworks for the modeling and understanding of brain activity patterns. They also enable direct communication pathways between the brain and external devices (brain–computer/machine interfaces). However, most of the research so far has focused on lab-based applications in constrained scenarios, which cannot be extrapolated to realistic field contexts. Considering the decoding of brain activity, biomedical engineers provide excellent tools to overcome the challenges of learning from brain activity patterns that are very likely to be affected by nonstationary behaviors and high uncertainty. The application of health and neural engineering to learning and modeling has recently demonstrated its remarkable usefulness for coping with the effects of extremely noisy environments, as well as the variability and dynamicity of brain signals. In addition, neurobiological studies have suggested that the behavior of neural cells exhibits functional patterns that resemble the properties of computational neuroscience to encode logical perception.
Neural information processing systems : Denver, Co, 1987 (1988)

Papers comprising this volume were presented at the first IEEE Conference on [title] held in Denver, Co., Nov. 1987. As the limits of the digital computer become apparent, interest in neural networks has intensified. Ninety contributions discuss what neural networks can do, addressing topics that in
Effects of target phenomenology on SAR prescreener performance (2005)

The Army Research Laboratory has recently collaborated with Raytheon to determine the effects of various target signature phenomena on the performance of a detection pre-screening processing chain. These signature phenomena for plastic mines were predicted by ARL's high fidelity electromagnetic models and then observed in airborne X-band synthetic aperture radar (SAR) data. The agreement of the modeled results with experimental data was then used to guide pre-screener design. In this paper we present predicted plastic mine signatures generated by ARL and compare the results with actual target samples extracted from X-Band SAR data. We then briefly describe the new prescreener algorithm and examine modeling results for other frequency bands in an effort to determine if similar notions can be exploited in these bands as well.