gebhart/patrepeval huggingface dataset:
A New Subclass of the Luteinizing Hormone/Chorionic Gonadotropin Receptor Lacking Exon 10 Messenger RNA in the New World Monkey (Platyrrhini) Lineage1 (2003)

The luteinizing hormone receptor (LHR) plays an essential role as a mediator of LH and CG action during embryonic sexual differentiation and in gametogenesis. In a hypogonadal male patient, we recently demonstrated that a genomic deletion of exon 10, located in the hinge region of the extracellular domain, results in discrimination of LH and hCG action. In the common marmoset (Calltithrix jacchus), exon 10 of the LHR is naturally missing at the mRNA level. In order to investigate whether this is an isolated species-specific phenomenon, we performed a phylogenetic screening, searching for the presence of LHR exon 10 mRNA in a number of primate species representative for the major lineages of primate evolution. The expressed LHR region encompassing exon 10 was amplified from testicular tissue by RT-PCR, cloned, and sequenced. In addition, we performed Southern blot analysis of the LHR of selected New World and Old World primates. The results revealed that exon 10 mRNA is lacking in the complete New World monkey (Platyrrhini) lineage but is present in both more primitive and more advanced primates. However, exon 10 seems to be present at the genomic level, arguing for a splicing failure possibly due to a genomic mutation or the lack of appropriate splicing factors. Considering that, in the human, LH is far less active than hCG on the LHR lacking exon 10, we addressed the question whether the existence of such a receptor has any consequences on the dual hormone LH/CG system present in Platyrrhini. Using primers specific for the known marmoset CG beta cDNA, we amplified the CG beta subunit cDNA from male common marmoset pituitaries by RT-PCR, while LH beta could not be amplified, suggesting a possible physiological role of pituitary CG in this species. In conclusion, we demonstrated for the first time that the LH mRNA without exon10 is the natural wild-type LHR in the Platyrrhini lineage. We propose that this LHR represents a new subclass of receptors that should be named LHR type II. In addition, the high expression of CG beta in the marmoset pituitary suggests a physiological role of CG in the reproductive function of these primates beyond pregnancy.
Hrva-a velocity analysis technique applied to seismic data (1969)

Abstract A High-Resolution Velocity Analysis (HRVA) has been developed which can be employed for the determination of the rms subsurface velocity energy spectrum from gated seismic data which has been NMO corrected. All calculations are performed in the frequency-space or frequency-wavenumber domain; seismic gates are transformed from the time-space domain via the Fast Fourier Transform algorithm. HRVA is not restricted to the investigation of apparent horizontal velocities which have associated stepout values that are integral multiples of the time sampling interval, as are the existing correlation techniques. The technique liberally exploits the usual inexistence of significant energy in the higher frequency harmonics of seismic data, resulting in a considerable time saving.The technique is illustrated with West Texas seismic data. The results are discussed as a means for deriving a more accurate rms subsurface velocity function for NMO corrections and subsequent stacking, and as a means for various lithologic investigations.
Interferometry for the Far Infrared* (1957)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text John Strong, "Interferometry for the Far Infrared*," J. Opt. Soc. Am. 47, 354-357 (1957) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Improving the Efficiency of Time-Optimal Path-Following Algorithms (1988)

This paper presents a new method which significantly improves the computational efficiency of time-optimal path-following planning algorithms for robot manipulators with limited actuator torques. The approach exploits the fact that the characteristic switching points of earlier techniques can be found directly in a straightforward fashion. Numerical examples, while showing the consistency of the algorithm with the existing techniques, demonstrate its potential for increasing computational efficiency by several orders of magnitude.
Assessing potential biological control of the invasive plant, tree-of-heaven,<i>Ailanthus</i><i>altissima</i> (2006)

Abstract Tree-of-heaven, Ailanthus altissima, is a deciduous tree indigenous to China and introduced into North America and Europe. It is a serious threat to ecosystems in introduced areas, as the plant is very competitive, and also contains allelopathic chemicals that may inhibit growth of surrounding native plants. In addition, the plant contains secondary chemicals that make it unpalatable to some insects. In this paper we assess potential biological control of this plant by reviewing literature associated with natural enemies of the plant from both its native and introduced regions in the world. Our literature surveys revealed that 46 phytophagous arthropods, 16 fungi, and one potyvirus were reported attacking tree-of-heaven, some apparently causing significant damage in China. Two weevils, Eucryptorrhynchus brandti and E. chinensis, are major pests of the plant in China and are reportedly restricted to tree-of-heaven, showing promise as potential biological control agents. Nymphs and adults of a homopteran insect, Lycorma delicatula and larvae of two lepidopteran species, Samia cynthia and Eligma narcissus, may also cause severe damage, but they are not host specific. Two rust fungi, Aecidium ailanthi J. Y. Zhuan sp. nov. and Coleosporium sp. have been reported on tree-of-heaven in China and are also promising potential candidates for biological control of the plant. Nine insect herbivores and 68 fungi are associated with tree-of-heaven in its introduced range in North America, Europe, and Asia. An oligophagous insect native to North America, the ailanthus webworm, Atteva punctella, may be a potential biocontrol agent for the plant. Among the fungal species, Fusarium osysporum f. sp. perniciosum, caused wilt of tree-of-heaven in North America and may have the potential to control the plant, but its non-target effect should be carefully evaluated. Our review indicates that there is potential for using insects or pathogens to control tree-of-heaven.
Task-Specific Scoring Functions for Predicting Ligand Binding Poses and Affinity and for Screening Enrichment (2017)

Molecular docking, scoring, and virtual screening play an increasingly important role in computer-aided drug discovery. Scoring functions (SFs) are typically employed to predict the binding conformation (docking task), binding affinity (scoring task), and binary activity level (screening task) of ligands against a critical protein target in a disease's pathway. In most molecular docking software packages available today, a generic binding affinity-based (BA-based) SF is invoked for all three tasks to solve three different, but related, prediction problems. The limited predictive accuracies of such SFs in these three tasks has been a major roadblock toward cost-effective drug discovery. Therefore, in this work, we develop BT-Score, an ensemble machine-learning (ML) SF of boosted decision trees and thousands of predictive descriptors to estimate BA. BT-Score reproduced BA of out-of-sample test complexes with correlation of 0.825. Even with this high accuracy in the scoring task, we demonstrate that the docking and screening performance of BT-Score and other BA-based SFs is far from ideal. This has motivated us to build two task-specific ML SFs for the docking and screening problems. We propose BT-Dock, a boosted-tree ensemble model trained on a large number of native and computer-generated ligand conformations and optimized to predict binding poses explicitly. This model has shown an average improvement of 25% over its BA-based counterparts in different ligand pose prediction scenarios. Similar improvement has also been obtained by our screening-based SF, BT-Screen, which directly models the ligand activity labeling task as a classification problem. BT-Screen is trained on thousands of active and inactive protein-ligand complexes to optimize it for finding real actives from databases of ligands not seen in its training set. In addition to the three task-specific SFs, we propose a novel multi-task deep neural network (MT-Net) that is trained on data from the three tasks to simultaneously predict binding poses, affinities, and activity levels. We show that the performance of MT-Net is superior to conventional SFs and on a par with or better than models based on single-task neural networks.
METHYLENE BLUE‐SENSITIZED PHOTOOXIDATION OF HEMOGLOBIN: EVIDENCE FOR CROSS‐LINK FORMATION* (1979)

Abstract— When exposed to light of wavelengths >520nm, human hemoglobin (Hb; I mg/m/ at pH X, 10 ° C) in the presence of methylene blue (MB) undergoes inter‐subunit cross‐linking, as visualized by sodium dodecyl sulfate (SDS)‐gel electrophoresis. With 10μM MB and a light dose of ˜700kJ/m 2 , a prominent ‘dimer’ band ( 28 ,00– 30 ,000 daltons) appears, with traces of higher mol wt components. This effect (also observed by SDS‐Sepharose chromatography) is seen with dialyzed hemolysates and with chromatographically purified Hb. The sedimentation coefficient of photooxidized Hb in 6 M guanidine hydrochloride (2.3 S) is significantly larger than that of unirradiated Hb (1.3 S), which supports the above conclusion that stable cross‐links are generated in the photoreaction. The bonds formed are presumably not disulfides, since they resist cleavage by dithiothreitol. The rate of cross‐linking is diminished by N 3 , histidine, and bilirubin, but enhanced by D 2 O, indicating that 1 O 2 plays a role in the reaction. Cross‐linking is minimal when photooxidation is carried out at pH 6.0. but increases steadily with pH up to 9. 0 , suggesting that the reaction involves residues which titrate over this pH range.
Enhancing geochemical interpretation using high vertical resolution data (1990)

The geochemical logging tool (GLT) has been shown to successfully describe the petrophysical properties of shaley sand reservoirs in many parts of the world. One of the limitations, however, has been the relatively poor vertical resolution, which often results in pessimistic producibility estimates in thinly laminated formations. A technique has been developed whereby the high resolution of the attenuation curve from the electromagnetic propagation tool (EPT) is used to modify the geochemically derived clay content. The resulting mineralogy exhibits greatly improved vertical resolution, while retaining the same degree of mineralogical detail as in standard processing. This, in turn, improves the porosity, saturation, and most significantly, the permeability estimates in the thin sand zones sandwiched within the shaley laminations. The technique has been applied to a field example, and the resulting cumulative permeability-feet estimate was increased by about a factor of three.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Towards multiple hypothesis situation analysis (2007)

Uncertainty makes the analysis of even simple situations difficult. It forces situation analysts to formulate and manage hypotheses during the construction of the explicit representations of the real world situations. Because of human cognitive limitations, this may quickly become overwhelming, even for the most experienced and capable analysts. In an attempt to provide better support systems, this position paper revisits the main concepts behind Multiple Hypothesis Tracking (MHT) in order to highlight how these ideas could be reused to deal with uncertainty in situation analysis. The development of a prototype reusing components of a prior MHT implementation is briefly presented. Finally, a number of challenging R&D issues and questions that have not yet been addressed are identified.
Refinement of data streams using Minimum Variance principle (2014)

In this paper, we propose a refined scheme on active learning from data streams where data volumes grow continuously. The objective is to label a small portion of stream data for which a model is derived to predict future instances as accurately as possible. We propose a classifier-ensemble based active learning framework which selectively labels instances from data streams to build an ensemble classifier. Classifier ensemble's variance directly corresponds to its error rates and the efforts of reducing the variance is equivalent to improving its prediction accuracy. We introduce a Minimum-Variance principle to guide instance labeling process for data streams. The MV principle and the optimal weighting module are proposed to be combined to build an active learning framework for data streams. Results and implementation demonstrate that the percentage of accuracy of the Minimum variance margin method is good as compared to other methods.
Long term behaviour of passively heated or cooled a-Si:H modules (1996)

We compare the outdoor performance of single junction a-Si:H PV-modules which were mounted in three different ways. One was thermally well isolated against convection and radiation losses in order to reach maximum operating temperatures. A second one was fixed onto a radiator to keep its temperature as close as possible to the air temperature. A third one served as a reference and was mounted with an open back side. The operating temperature of the modules could be strongly influenced by the different mountings. Although a high operating temperature results in a reduced V/sub OC/, it turned out to be beneficial for effective energy conversion in the long term due to a strongly reduced Staebler-Wronski degradation.
A Context-aware and Adaptive Learning Schedule framework for supporting learners' daily routines (2007)

A learning context describes the current situation of a learner related to a learning activity, and continually changes in a mobile learning environment. As a result, context-awareness in mobile learning has become an essential part when designing more adaptive mobile learning systems. In this paper, we introduce our novel Context- aware and adaptive learning schedule framework which makes use of a learning schedule to support the students' daily routines, adapts the activities to the student's learning styles and then selects the appropriate activity for the learner based on their current learning context.
Combined systemic administration of the glycine/NMDA receptor antagonist, (+)-HA966 and morphine attenuates pain-related behaviour in a rat model of trigeminal neuropathic pain (1999)

Chronic constriction injury to the infraorbital nerve (CCI-ION) by loose ligatures may represent a useful model for some trigeminal neuropathic pain disorders. Activation of the N-methyl-D-aspartate (NMDA) receptor is involved in the induction and maintenance of neuropathic pain and may contribute to the poor opioid sensitivity of this syndrome. We evaluated the effect of combined systemic administration of the functional antagonist at the glycine site of the N-methyl-D-aspartate (NMDA) receptor complex, (+)-(1-Hydroxy-3-aminopyrrolodine-2-one) ((+)-HA966) with morphine on mechanical allodynia-like behaviour in CCI-ION rats. Two weeks after surgery rats with a CCI-ION displayed mechanical hyperresponsiveness to von Frey filament stimulation of the vibrissal pad with a median at 0.217 g (95% confidence limits, 0. 217-0.224) versus > or = 12.5 g pre-operative. Administration of either (+)-HA966 (2.5 mg/kg s.c.) alone or morphine (1 mg/kg i.v.) alone was devoid of effects on the mechanical hyperresponsiveness. By contrast, combined administration of (+)-HA966 and morphine (0.25, 0. 5 and 1 mg/kg i.v.) dose-dependently increased the mechanical response thresholds (peak-effects 0.745 g (0.745-0.745), 4.64 (3.3-8. 7) and 12.5 g (8.4-12.5), respectively). This effect was prevented and reversed by naloxone (0.1 mg/kg i.v.). The drug combination produced no motor deficits in animals using the rotarod test. The present results indicate that combination therapy with NMDA/glycine receptor antagonists and morphine may be a useful approach for the clinical management of trigeminal neuropathic pain disorders.
Automated DNA sequencing: an image processing approach. (1993)

An automatic DNA sequencing analysis system has been developed by Scanalytics/CSPI. The strategies used to solve some of the common problems in the automation of DNA sequencing systems will be discussed. Algorithms developed include fast image background correction, automatic base detection, resolution enhancement by deconvolution, desmiling and artificial intelligence algorithms for sequence interpretation.
The influence of body effect and threshold voltage reduction on trench MOSFET body diode characteristics (2004)

This paper presents a comprehensive study of the body diode characteristics of highchannel density trench Power MOSFETS using analytic modeling, 2-dimensional numerical simulation, and physical measurements. The results show that for state-of-the-art trench MOSFETS the body diode characteristics are strongly influenced by majority carriers in the channel due to gate-controlled third quadrant conduction. This large channel current is shown to be the result of dynamic threshold voltage lowering due to MOSFET body effect.
Aeroelasticity of joined-wing airplane configurations - Past work and future challenges - a survey (2001)

Depending on their structural and aerodynamic design joined wing configuration can display complex aeroelastic modes of behavior and present a considerable design challenge. The current paper presents a review of past work in the area of joined wing aeroelasticity, offers an intuitive / qualitative discussion of their dynamic behavior, surveys a number of possibly relevant problems from aeroelasticity, structural dynamics, and applied mechanics, and discusses analysis, testing, and optimization challenges involved. It is believed that the joined wing analysis and design problem cuts across traditional disciplinary lines, and makes it necessary to address it through significant collaboration among researchers in related areas and through integrated multidisciplinary studies. It is hoped that the present paper will stimulate research and collaboration that will lead to significant progress in the understanding of this dynamically rich and potentially important unusual configuration.
Refactoring-aware versioning in Eclipse (2004)

To fully support refactorings in a team development environment we have implemented a refactoring-aware repository provider as an extension plug-in to the Java Development Tools in Eclipse. The versioning system treats refactorings as first-class changes described as semantic ac- tions rather than the set of resulting changes scattered over the source tree. We also introduce refactoring-aware merge, which merges refactorings as well as traditional changes utilizing the se- mantics of the refactorings to detect and resolve merge conflicts. It also ensures that the semantic meaning of a refactoring is preserved after the merge.
Subnet level network topology mapping (2011)

Internet topology at the network layer consists of routers and subnets, i.e., point-to-point or multi-access connections. Network measurement studies have focused on router level maps and derived characteristics of routers such as mean degree, degree distribution, clustering coefficient and betweenness. Considering the fact that subnets are also important building blocks of the Internet topology, this paper introduces a complementary view of network topologies named subnet level maps. Subnet level network topology maps represent subnets as vertices and depict routers as links connecting the vertices/subnets. Additionally, we introduce a tool, called exploreNET, for subnet discovery. Although ExploreNET is based on the same principals as our recent work traceNET [21], it differs from traceNET in its utilization in various domains. Particularly, it allows us discover the underlying subnet level topology map of a network rather than the map dictated by routing dynamics. Finally, we present an evaluation of exploreNET by using it to discover and analyze various subnet characteristics including degree distribution, capacity distribution and utilization for six geographically disperse public Internet Service Providers (ISPs).
Pulse Radiolysis Studies. XIII. Rate Constants for the Reaction of Hydroxyl Radicals with Aromatic Compounds in Aqueous Solutions (1968)

Absolute rate constants have been determined for the reaction of the hydroxyl radical with a variety of aromatic compounds in aqueous solution. The rate constants obtained are significantly higher than values previously reported. Rate constants for the reaction of the hydroxyl radical with methyl alcohol and ethyl alcohol have also been determined by competition kinetics using three of these absolute rate constants as reference values. Comparison of our results with the published values from competition kinetics suggests that the rate constants for the reaction of hydroxyl radicals with iodide ion and thiocyanate ion are significantly higher than reported in earlier work. The ultraviolet absorption bands of the various substituted hydroxycyclohexadienyl radicals formed have been observed.
GaAs Process Compatible Adhesion Promoter for PMMA Resists (1986)

We report here the successful use of poly(2‐vinylpyridine) as an adhesion promoter for use with poly(methylmethacrylate) (PMMA) resist on . The material maintains resist integrity during normal wet chemical etching and cleaning procedures and has been used to fabricate 0.5 μm recessed gate MESFET devices using both E‐beam direct write and deep UV contact lithography. It is spin‐coated prior to the application of the PMMA, which is then processed in the conventional manner. We have extended the investigation to include a preliminary evaluation of copolymers of 2‐vinylpyridine and methylmethacrylate as deep UV resists.
Next generation computing: distributed objects for business (1996)

From the Publisher:
The unique format of this collection is the fastest and easiest way to learn about the next generation of computing. This book covers major topic areas in succinct yet complete chapters. Written in a clear and compact style, each of these crisp 30-minute briefs will be invaluable to your staff, users and management.
Role of exercise-induced potassium fluxes underlying muscle fatigue: a brief review (1991)

The site of exercise-induced muscle fatigue is suggested to be the muscle membrane, which includes the sarcolemma and T-tubule membrane; the excitability of the membrane is dependent on the membrane potential. Significant potassium flux from the intracellular space of contracting muscle may decrease the membrane potential to half its resting value. This is true for isolated muscle preparations as well as for the whole body exercise in humans. Specific K+ channels have been identified, that may account for the intracellular K+ loss. Calcium-sensitive K+ channels open when intracellular Ca2+ concentrations increase, as during excitation. ATP-sensitive K+ channels may be involved but may open only at ATP concentrations well below those attained at exhaustion. However, ATP may be compartmentalized and only the membrane-bound ATP concentration may be of significance. Ca2+ accumulation and ATP depletion cause cell destruction; these changes induce an increased K+ conductance, which may inactivate the membrane and consequently prevent tension development. It is hypothesized that such a safety mechanism is identical to the fatigue mechanism.