gebhart/patrepeval huggingface dataset:
Differential expression of the Arabidopsis genes coding for Em‐like proteins 1 (2000)

Late embryogenesis abundant ( lea ) genes are a large and diverse group of genes highly expressed during late stages of seed development. Five major groups of LEA proteins have been described. Two Em genes (group I lea genes) are present in the genome of Arabidopsis thaliana L., AtEm1 and AtEm6 . Both genes encode for very similar proteins which differ basically in the number of repetitions of a highly hydrophilic amino acid motif. The spatial patterns of expression of the two Arabidopsis Em genes have been studied using in situ hybridization and transgenic plants transformed with the promoters of the genes fused to the β‐glucuronidase reporter gene ( uidA ). In the embryo, AtEm1 is preferentially expressed in the pro‐vascular tissues and in meristems. In contrast, AtEm6 is expressed throughout the embryo. The activity of both promoters disappears rapidly after germination, but is ABA‐inducible in roots of young seedlings, although in different cells: the AtEm1 promoter is active in the internal tissues (vasculature and pericycle) whereas the AtEm6 promoter is active in the external tissues (cortex, epidermis and root hairs). The AtEm1 promoter, but not AtEm6 , is also active in mature pollen grains and collapsed nectaries of young siliques. These data indicate that the two Em proteins could carry out at least slightly different functions and that the expression of AtEm1 and AtEm6 is controlled at, at least, three different levels: temporal, spatial and hormonal (ABA).
Correction of Temperature-Induced Spectral Variation by Continuous Piecewise Direct Standardization (2000)

In process analytical applications it is not always possible to keep the measurement conditions constant. However, fluctuations in external variables such as temperature can have a strong influence on measurement results. For example, nonlinear temperature effects on near-infrared (NIR) spectra may lead to a strongly biased prediction result from multivariate calibration models such as PLS. A new method, called Continuous Piecewise Direct Standardization (CPDS) has been developed for the correction of such external influences. It represents a generalization of the discrete PDS calibration transfer method and is able to adjust for continuous nonlinear influences such as the temperature effects on spectra. It was applied to shortwave NIR spectra of ethanol/water/2-propanol mixtures measured at different temperatures in the range 30-70 degrees C. The method was able to remove, almost completely, the temperature effects on the spectra, and prediction of the mole fractions of the chemical components was close to the results obtained at constant temperature.
Lowe syndrome patient fibroblasts display Ocrl1-specific cell migration defects that cannot be rescued by the homologous Inpp5b phosphatase (2009)

The Lowe syndrome (LS) is a life-threatening, developmental disease characterized by mental retardation, cataracts and renal failure. Although this human illness has been linked to defective function of the phosphatidylinositol 5-phosphatase, Ocrl1 (Oculo-Cerebro-Renal syndrome of Lowe protein 1), the mechanism by which this enzyme deficiency triggers the disease is not clear. Ocrl1 is known to localize mainly to the Golgi apparatus and endosomes, however it translocates to plasma membrane ruffles upon cell stimulation with growth factors. The functional implications of this inducible translocation to the plasma membrane are presently unknown. Here we show that Ocrl1 is required for proper cell migration, spreading and fluid-phase uptake in both established cell lines and human dermal fibroblasts. We found that primary fibroblasts from two patients diagnosed with LS displayed defects in these cellular processes. Importantly, these abnormalities were suppressed by expressing wild-type Ocrl1 but not by a phosphatase-deficient mutant. Interestingly, the homologous human PI-5-phosphatase, Inpp5b, was unable to complement the Ocrl1-dependent cell migration defect. Further, Ocrl1 variants that cannot bind the endocytic adaptor AP2 or clathrin, like Inpp5b, were less apt to rescue the migration phenotype. However, no defect in membrane recruitment of AP2/clathrin or in transferrin endocytosis by patient cells was detected. Collectively, our results suggest that Ocrl1, but not Inpp5b, is involved in ruffle-mediated membrane remodeling. Our results provide new elements for understanding how Ocrl1 deficiency leads to the abnormalities associated with the LS.
A guide to current uses of vertical seismic profiles (1985)

Abstract Vertical seismic profiles (VSPs) are small-scale seismic surveys in which geophones are lowered into a well to record waves traveling both down into the earth (direct waves from the surface source and downgoing multiples) and back toward the surface (primary reflections and upgoing multiples). VSPs thus contain information about the reflection and transmission properties of the earth with a coverage that depends upon the geometry of the VSP experiment and the structure near the well. This article describes the uses of VSPs in seismic exploration that have been published in the last three years and is designed to complement the more detailed surveys by Hardage (1983) and Balch and Lee (1984).When the earth is horizontally layered, the well is vertical, and the source is close to the wellhead, upgoing and downgoing waves recorded by the VSP travel vertically, and the VSP can be used to calibrate surface seismic sections by providing the time-to-depth curve and allowing a detailed analysis of reflection and transmission properties of the earth at a given location. These applications rely heavily on signal processing to separate the upgoing and downgoing waves and to study their relationships to data recorded at the surface.When the earth varies laterally or when the source is offset from the well, the VSP can be used to complement surface surveys by providing high-resolution images of structure near the well. Current work has concentrated on forming images from the reflected waves by the methods of common-depth-point (CDP) stacking and migration. Tomographic methods for inverting the traveltimes and amplitudes of transmitted waves are also being developed and will become important when downhole arrays and powerful downhole sources are available. The most significant advance in the next few years, however, will be the development of a reliable three-axis tool with internal devices for determining both the orientation of the tool and the quality of its coupling to the borehole wall.
Design of a software quality decision system: a computational intelligence approach (2002)

This paper introduces an approximate reasoning system for assessing software quality and introduces the application of two computational intelligence methods in designing a software quality decision system, namely, granulation from fuzzy sets and rule-derivation from rough sets. This research is part of a computational intelligent systems approach to software quality evaluation, which includes a fuzzy-neural software quality factor-criteria selection model with learning and a rough-fuzzy-neural software quality decision system. Overall, computational intelligence results from a synergy of various combinations of genetic, fuzzy, rough and neural computing in designing engineering systems. Based on observations concerning software quality and the granulations of measurements in an extended form of the McCall software quality measurement framework, an approach to deriving rules about software quality is given. Quality decision rules express relationships between evaluations of software quality criteria measurements. A quality decision table is constructed relative to the degree of membership of each software quality measurement in particular granules. Decision-tables themselves are as a collection of sensors, which "sense" inputs and output conditions for rules. Rosetta is used to generate quality decision rules. The approach described in this paper illustrates the combined application of fuzzy sets and rough sets in developing a software quality decision system.
Hard X-ray Detection Using a Single 100 nm Diameter Nanowire (2014)

Submicron sized sensors could allow higher resolution in X-ray imaging and diffraction measurements, which are ubiquitous for materials science and medicine. We present electrical measurements of a single 100 nm diameter InP nanowire transistor exposed to hard X-rays. The X-ray induced conductance is over 5 orders of magnitude larger than expected from reported data for X-ray absorption and carrier lifetimes. Time-resolved measurements show very long characteristic lifetimes on the order of seconds, tentatively attributed to long-lived traps, which give a strong amplification effect. As a proof of concept, we use the nanowire to directly image an X-ray nanofocus with submicron resolution.
Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems (2016)

The recent advances in cloud services technology are fueling a plethora of information technology innovation, including networking, storage, and computing. Today, various flavors have evolved of IoT, cloud computing, and so-called fog computing, a concept referring to capabilities of edge devices and users’ clients to compute, store, and exchange data among each other and with the cloud. Although the rapid pace of this evolution was not easily foreseeable, today each piece of it facilitates and enables the deployment of what we commonly refer to as a smart scenario, including smart cities, smart transportation, and smart homes. As most current cloud, fog, and network services run simultaneously in each scenario, we observe that we are at the dawn of what may be the next big step in the cloud computing and networking evolution, whereby services might be executed at the network edge, both in parallel and in a coordinated fashion, as well as supported by the unstoppable technology evolution. As edge devices become richer in functionality and smarter, embedding capacities such as storage or processing, as well as new functionalities, such as decision making, data collection, forwarding, and sharing, a real need is emerging for coordinated management of fog-to-cloud (F2C) computing systems. This article introduces a layered F2C architecture, its benefits and strengths, as well as the arising open and research challenges, making the case for the real need for their coordinated management. Our architecture, the illustrative use case presented, and a comparative performance analysis, albeit conceptual, all clearly show the way forward toward a new IoT scenario with a set of existing and unforeseen services provided on highly distributed and dynamic compute, storage, and networking resources, bringing together heterogeneous and commodity edge devices, emerging fogs, as well as conventional clouds. Introduction: The Scenario
Robust Plasma Polymerized-Titania/Silica Janus Microparticles (2010)

We report on the universal fabrication of Janus microparticles from a wide variety of organic and inorganic components. The Janus particle fabrication described in this study details the synthesis of the highly cross-linked polymer nanocoatings on top of the partially embedded particles via plasma enhanced chemical vapor deposition. Here we conducted the plasma enhanced polymerization of different organic functionalized, reactive, responsive, and biomolecular materials ranging from acrylic compounds to organometallic molecules and aminoacids all directly on silica and titania microspheres, while using a masking technique to ensure that only a controlled fraction of the total particle surface area will be covered. This facile, fast, and scalable selected polymerization approach allows for single-face polymerization, generating organic−inorganic Janus particles which are robust and can be further converted into a variety of interesting mesoscale structures. Half-fluorescent, half-metal-decorated, and half-shelled structures were all demonstrated here as particular examples.
Blocking rapid ice crystal growth through nonbasal plane adsorption of antifreeze proteins (2016)

Antifreeze proteins (AFPs) are a unique class of proteins that bind to growing ice crystal surfaces and arrest further ice growth. AFPs have gained a large interest for their use in antifreeze formulations for water-based materials, such as foods, waterborne paints, and organ transplants. Instead of commonly used colligative antifreezes such as salts and alcohols, the advantage of using AFPs as an additive is that they do not alter the physicochemical properties of the water-based material. Here, we report the first comprehensive evaluation of thermal hysteresis (TH) and ice recrystallization inhibition (IRI) activity of all major classes of AFPs using cryoscopy, sonocrystallization, and recrystallization assays. The results show that TH activities determined by cryoscopy and sonocrystallization differ markedly, and that TH and IRI activities are not correlated. The absence of a distinct correlation in antifreeze activity points to a mechanistic difference in ice growth inhibition by the different classes of AFPs: blocking fast ice growth requires rapid nonbasal plane adsorption, whereas basal plane adsorption is only relevant at long annealing times and at small undercooling. These findings clearly demonstrate that biomimetic analogs of antifreeze (glyco)proteins should be tailored to the specific requirements of the targeted application.
Your mobile virtual assistant just got smarter! (2011)

A Mobile Virtual Assistant (MVA) is a communication agent that recognizes and understands free speech, and performs actions such as retrieving information and completing transactions. One essential characteristic of MVAs is their ability to learn and adapt without supervision. This paper describes our ongoing research in developing more intelligent MVAs that recognize and understand very large vocabulary speech input across a variety of tasks. In particular, we present our architecture for unsupervised acoustic and language model adaptation. Experimental results show that unsupervised acoustic model learning approaches the performance of supervised learning when adapting on 40-50 device-specific utterances. Unsupervised language model learning results in an 8% absolute drop in word error rate.
Bone marrow derived mesenchymal stem cells from aged mice have reduced wound healing, angiogenesis, proliferation and anti‐apoptosis capabilities (2012)

Decline in the function of stem cells with age, such as other cells of the body, results in an imbalance between loss and renewal. Increasing age of the donor thus diminishes the effectiveness of MSCs (mesenchymal stem cells) transplantation in age-related diseases. The clinical use of stem cell therapies needs autologous stem cell transplantation; it is essential therefore to study the repair ability and survivability of cells before transplantation. Bone marrow derived MSCs possess multi-lineage differentiation potential, but aging adversely affects their therapeutic efficacy. MSCs from young (2-3 months) and aged (23-24 months) GFP (green fluorescent protein)-expressing C57BL/6 mice were isolated and their regenerative potential was assessed in vitro. Real-time RT-PCR (reverse transcriptase-PCR) showed significantly higher expression of Sirt1 in MSCs isolated from young than older animals. Down-regulation of VEGF (vascular endothelial growth factor), SDF-1 (stromal-cell-derived factor 1), AKT (also known as protein kinase B) and up-regulation of p53, p21, Bax and p16 occurred in aged cells. Tube formation, wound healing and proliferative abilities of the young MSCs were better than the aged MSCs. The results suggest that age-related increased expression of apoptotic and senescent genes, with concomitant decrease in Sirt1 gene expression, inhibits to some extent stem cell functioning.
Use of fly ash as an admixture for electromagnetic interference shielding (2004)

The use of fly ash as an admixture results in enhancement of the electromagnetic interference (EMI) shielding effectiveness from 4 to 8 dB at 1 GHz, whereas the use of silica fume as an admixture results in negligible effect on the shielding effectiveness. The DC electrical resistivity is decreased slightly by silica fume, but is essentially not affected by fly ash. Both fly ash and silica fume cause slight increases in the reflectivity. The effectiveness of fly ash for shielding is attributed to the Fe2O3 component (15.4 wt.%) in the fly ash.
String Profile for Internet Small Computer Systems Interface (iSCSI) Names (2004)

This document describes how to prepare internationalized iSCSI names to increase the likelihood that name input and comparison work in ways that make sense for typical users throughout the world.
Facilitating Low Latency and Reliable VR over Heterogeneous Wireless Networks (2018)

Current VR headsets are tethered to computers which limits mobility and poses a tripping hazard. Delivering VR content over a wireless link is challenging due to the high data rates and stringent time delivery requirements. Millimeter wave communication at 60 GHz (WiGig) can meet these requirements, but, it is unreliable due to blockages and beam misalignments. In this poster, we present an idea of using both WiFi and WiGig interfaces to transmit the VR content. We divide a video frame into tiles and prioritize the tiles in the user's field of view. Based on the wireless link conditions, the tiles are encoded with varying qualities and transmitted over either WiFi or WiGig interface. We formulate an optimization framework to deliver the VR video with high reliability and low latency.
The role of dexamethasone or streptomycin perfusion in the treatment of Meniere's disease. (1997)

There is ample clinical and animal evidence that, in most patients, Meniere's disease is an immune-mediated disorder in a small, misplaced, malfunctioning endolymphatic sac that causes endolymphatic hydrops, the essential pathology of this disease. If this is so, then the potent anti-inflammatory steroids are the ideal first treatment for Meniere's disease and other immune-mediated diseases of the inner ear, and streptomycin perfusion is the ideal second treatment for those who do not respond to dexamethasone perfusion. The diagnosis, selection of patients, and details of operation with the results are presented. Results have been good with relief of dizzy spells and preservation of hearing in most patients after dexamethasone perfusion and relief of dizzy spells in those patients not responding to the dexamethasone perfusion by streptomycin perfusion.
Multi‐photon excitation microscopy in intact animals (2006)

Two-photon excitation fluorescence microscopy and backscattered-second harmonic generation microscopy permit the investigation of the subcellular events within living animals but numerous aspects of these experiments need to be optimized to overcome the traditional microscope geometry, motion and optical coupling to the subject. This report describes a stable system for supporting a living instrumented mouse or rabbit during endogenous reduced nicotinamide adenine dinucleotide and exogenous dye two-photon excitation fluorescence microscopy measurements, and backscattered-second harmonic generation microscopy measurements. The system was a modified inverted LSM510 microscope (Carl Zeiss, Inc., Thornwood, NY, U.S.A.) with a rotating periscope that converted the inverted scope to an upright format, with the objective located approximately, 15 cm from the centre of the microscope base, allowing easy placement of an instrumented animal. An Olympus 20x water immersion objective was optically coupled to the tissue, without a cover glass, via a saline bath or custom hydrated transparent gel. The instrumented animals were held on a specially designed holder that poised the animal under the objective as well as permitted different ventilation schemes to minimize motion. Using this approach, quality images were routinely collected in living animals from both the peripheral and body cavity organs. The remaining most significant issue for physiological studies using this approach is motion on the micrometre scale. Several strategies for motion compensation are described and discussed.
Leukolysins and Cancer (1988)

Regulation of malignant cell growth by the immune system has been extensively studied by cancer researchers hoping to develop immuno therapeutic approaches to cancer management. For years these studie
Targeted Disruption of Endothelial Cell-selective Adhesion Molecule Inhibits Angiogenic Processes in Vitro and in Vivo (2003)

Endothelial cell-selective adhesion molecule (ESAM) is a member of the immunoglobulin receptor family that mediates homophilic interactions between endothelial cells. To address potential in vivo angiogenic functions of this molecule, mice lacking ESAM (ESAM-/-) were generated by gene-targeted deletion. ESAM-/- mice did not show overt morphological defects in the vasculature. To evaluate the role of ESAM in pathological angiogenesis, wild type (WT) and ESAM-/- mice were injected with melanoma and Lewis lung carcinoma cells. By 14 days after injection, tumor volumes of B16F10 and LL/2 in ESAM-/- mice were 48 and 37% smaller, respectively, compared with WT mice. Vascular density of the tumors, as determined by CD31 staining, was also decreased in the ESAM null animals. Matrigel plug assays showed less neovascularization in ESAM-/- mice than in WT mice. ESAM-/- endothelial cells exhibited less in vitro tube formation and decreased migration in response to basic fibroblast growth factor when compared with WT cells, and endothelial-like yolk sac cells engineered to overexpress ESAM showed accelerated tube formation in vitro. These in vitro and in vivo studies suggest that ESAM has a redundant functional role in physiological angiogenesis but serves a unique and essential role in pathological angiogenic processes such as tumor growth.
MODEL-BASED CONTROL AND DIAGNOSTIC TECHNIQUES FOR OPERATIONAL IMPROVEMENTS OF GAS TURBINE ENGINES (2013)

Gas turbines operational requirements continue to become more demanding in response to\nthe need for extended component life, increased reliability and improved overall efficiency. To\nsupport these requirements, new model-based gas turbine control and diagnostics concepts\nhave been introduced.\nTraditionally gas turbine control system transforms real engine limits, into limits which\nare based on measured engine variables. As a result of that, engines operate with increased\nsafety margins and thus with non-optimal performance. To overcome this problem model\nbased control concepts have been proposed. Model based control approach exploits real-time\non-line engine models to estimate control feedback signals, enabling the implementation of\nnovel control methods.\nModel-based diagnostics employs engine models tuned to match the observed engine state\nin the same manner as model-based control. The residual deviations between predicted and\nsensed parameters are modelled, again usually as variations in component losses and flow\ncapacity, and the best match is used to identify likely component degradation modes and\nfaults.\nThe use of model based techniques to diagnose and adaptively manage degradation of\nengine component characteristics is crucial for operational effectiveness of gas turbines. This\npaper gives overview of current and evolving model-based techniques and discusses benefits\nof these concepts in operational management of the gas turbines.