gebhart/patrepeval huggingface dataset:
Capacity-approaching bandwidth-efficient coded modulation schemes based on low-density parity-check codes (2003)

We design multilevel coding (MLC) and bit-interleaved coded modulation (BICM) schemes based on low-density parity-check (LDPC) codes. The analysis and optimization of the LDPC component codes for the MLC and BICM schemes are complicated because, in general, the equivalent binary-input component channels are not necessarily symmetric. To overcome this obstacle, we deploy two different approaches: one based on independent and identically distributed (i.i.d.) channel adapters and the other based on coset codes. By incorporating i.i.d. channel adapters, we can force the symmetry of each binary-input component channel. By considering coset codes, we extend the concentration theorem based on previous work by Richardson et al. ( see ibid., vol.47, p.599-618, Feb. 2001) and Kavc/spl caron/ic/spl acute/ et al.(see ibid., vol.49, p.1636-52, July 2003) We also discuss the relation between the systems based on the two approaches and show that they indeed have the same expected decoder behavior. Next, we jointly optimize the code rates and degree distribution pairs of the LDPC component codes for the MLC scheme. The optimized irregular LDPC codes at each level of MLC with multistage decoding (MSD) are able to perform well at signal-to-noise ratios (SNR) very close to the capacity of the additive white Gaussian noise (AWGN) channel. We also show that the optimized BICM scheme can approach the parallel independent decoding (PID) capacity as closely as does the MLC/PID scheme. Simulations with very large codeword length verify the accuracy of the analytical results. Finally, we compare the simulated performance of these coded modulation schemes at finite codeword lengths, and consider the results from the perspective of a random coding exponent analysis.
Conversion of Dimethyl Ether to 2,2,3-Trimethylbutane over a Cu/BEA Catalyst: Role of Cu Sites in Hydrogen Incorporation (2015)

Recently, it has been demonstrated that methanol and/or dimethyl ether can be converted into branched alkanes at low temperatures and pressures over large-pore acidic zeolites such as H-BEA. This process achieves high selectivity to branched C4 (e.g., isobutane) and C7 (e.g., 2,2,3-trimethylbutane) hydrocarbons. However, the direct homologation of methanol or dimethyl ether into alkanes and water is hydrogen-deficient, resulting in the formation of unsaturated alkylated aromatic residues, which reduce yield and can contribute to catalyst deactivation. In this paper we describe a Cu-modified H-BEA catalyst that is able to incorporate hydrogen from gas-phase H2 cofed with dimethyl ether into the desired branched alkane products while maintaining the high C4 and C7 carbon selectivity of the parent H-BEA. This hydrogen incorporation is achieved through the combination of metallic Cu nanoparticles present on the external surface of the zeolite, which perform H2 activation and olefin hydrogenation, and Lewis acidic ion-exchanged cationic Cu present within the H-BEA pores, which promotes hydrogen transfer. With cofed H2, this multifunctional catalyst achieved a 2-fold increase in hydrocarbon productivity in comparison to H-BEA and shifted selectivity toward products favored by the olefin catalytic cycle over the aromatic catalytic cycle.
Continuous mulling of conductive materials. (1986)

Continuous mulling of conductive plastics (electromagnetic shielding material) was performed to investigate the mulling process in which conductivity appears and to determine a mulling condition by which a satisfactory conductive material can be obtained. Continuous mulling was carried out with ABS-resin and carbon black under various experimental conditions. Examination of the mulling condition was made based on the results of time change in mixing torque, resistivity of the formed materials, and scanning and transmission electron microscopic observations of the mulled products. The results revealed a close correlation between the mixing torque and resistivity. This indicates that the sate of conduction in the mulling process can be estimated by investigating the time change in mixing torque. When the mixing torque reached to a steady state, the material was found to have high conductivity. Furthermore, when a filler (carbon black) is randomly distributed as it occurs in solid mixing, high conductivity can appear. A mulling condition that could produce a material of still higher conductivity was searched further. It is found that reduction of mixing torque by the addition of a lubricant (slip additive) produces a wellmulled conductive material (conductive plastics) in a relatively short time.
Family Presence During Cardiopulmonary Resuscitation (2014)

Jabre, Patricia*; Belpomme, Vanessa†; Azoulay, Elie‡; Jacob, Line§; Bertrand, Lionel∥; Lapostolle, Frederic*; Tazarourte, Karim¶; Bouilleau, Guillem#; Pinaud, Virginie**; Broche, Claire††; Normand, Domitille*; Baubet, Thierry‡‡; Ricard-Hibon, Agnes†; Istria, Jacques§§; Beltramini, Alexandra∥∥; Alheritiere, Armelle*; Assez, Nathalie¶¶; Nace, Lionel##; Vivien, Benoit***; Turi, Laurent†††; Launay, Stephane‡‡‡; Desmaizieres, Michel*; Borron, Stephen W.§§§; Vicaut, Eric∥∥∥; Adnet, Frederic* Author Information
Artificial-neural-network-based failure detection and isolation (1998)

This paper presents the design of a systematic failure detection and isolation system that uses the concept of failure sensitive variables (FSV) and artificial neural networks (ANN). The proposed approach was applied to tube leak detection in a utility boiler system. Results of the experimental testing are presented in the paper.
In Vitro Tests for Haematotoxicity: Prediction of Drug-induced Myelosuppression by the CFU-GM Assay (2002)

In a prevalidation study, a standard operating procedure (SOP) for human and mouse in vitro tests was developed, for evaluating the potential haematotoxicity of xenobiotics in terms of their direct, adverse effects on the myeloid colony-forming unit (CFU-GM). Based on the adjustment of the mouse-derived maximum tolerated dose (MTD), a prediction model was set up to calculate the human MTD, and an international blind trial was designed to apply this model to the clinical neutropenia of 23 drugs including 17 antineoplastics. The model correctly predicted the human MTD for 20 drugs out of the 23 (87%). This high percentage of predictivity, and the reproducibility of the SOP testing, confirmed the scientific validation of this model, and suggest promising applications for developing and validating other in vitro methods for use in haematotoxicology.
3D Garment Modelling - Creation of a Virtual Mannequin of the Human Body (2014)

This work presents the modelling and numerical simulation of mannequins as well as clothes in a 3D virtual environment. The paper explains garment modelling, with the objective of defining the development of a 3D body model that is useful and based on the demand of the garment industry. For this purpose a development strategy should be defined. Many scientists are working on the creative process for virtual garment development to create a garment directly on a 3D model of the human body, also called “ virtual tailoring”.The first strategic issue in this context that we present is that the model must necessarily incorporate the ease garment model associatively. These parameters define the priority concepts that are the draping and proper fit of the garment. The second point is that the transition between the 3D and 2D patterns, known as flattening 3D patterns, must be associative, precise and must take into account the real deformation of the fabric.
Electrodeposition of Highly Ordered CdTe Nanorod/Nanotube Arrays for Solar Energy Conversion (2015)

Research and development in the field of high efficiency solar energy conversion relies heavily on the fabrication of the photoabsorber materials as nanotubular or nanowire architectures, since these morphologies gives better photocurrent output with lese coverage of the active material. However, fabrication of the nanostructured semiconducting materials as vertically aligned, highly ordered nanowire or nanotubular arrays with precise distribution of size and shape over the entire region of interest is still a significant challenge to overcome. In this presentation, we will describe a straightforward approach for the fabrication of CdTe nanorod and nanotube arrays with a high degree of precision through confined electrodeposition on lithographically patterned nanoelectrodes. This technique has the potential of growing these nanotube/nanowire arrays over a significantly large area that can be scaled up to the industrial manufacturing scale. The desired nanoelectrode pattern was defined through electron beam lithography on indium tin oxide coated glass, which was used as a typical conducting substrate, and electrodeposition of the semiconducting material of interest (CdTe) on the nanoelecrodes was used to grow the nanotubes/nanowires. Nanosphere Photo Lithography technique was used to define nanorod/nanowire patterns over a significantly larger area (4 x 4 cm 2 ). It is interesting to note that the measured photocurrent density of nanotube device created by this protocol exceeds that obtained from a thin film device fabricated under similar conditions by several orders of magnitude. The ability to tune the entire nanotube/nanorod diameter, length, shape, packing density, and nanotube wall thickness, make this method a versatile tool to fabricate and investigate the nano-structured photovoltaic devices and study their structure-property relationship. Additionally the ability to create uniform nanotube/nanorod arrays through one-step electrodeposition makes this protocol unique. The simplicity of this method opens up a window of opportunities to investigate the effect of morphology on the solar cell efficiency of different semiconducting materials. In this presentation we will discuss the growth of nanorod and nanotube arrays through patterned electrodeposition on nanoelectrodes, and discuss detailed investigation of their characterization and solar cell efficiencies along with future prospects for tuning the efficiencies even further.
Flavonoids (1994)

A research program has been developed to define an evaluation tool capable of assessing the impact of venous insufficiency and its treatments on the patient's everyday life. The methodology is described in the first part of this paper, followed by the results of the first phase of the research program, based on two surveys: a "qualitative" survey in a population of severely affected patients and a "quantitative" survey in a population of 150 patients.
PS1 N- and C-terminal fragments form a complex that functions in APP processing and Notch signaling (2001)

Presenilin proteins play critical roles in the proteolytic processing of both Notch and amyloid precursor protein (APP). Presenilin itself undergoes endoproteolytic processing to generate an N-terminal and C-terminal fragment. As demonstrated previously, overexpression of presenilin 1 (PS1) holoprotein does not change the levels of the N-terminal and C-terminal fragments (NTF and CTF). When we coexpress the PS1 NTF and CTF, marked increases in the cellular levels of these fragments are seen. By coexpressing the PS1 NTF and CTF, we demonstrate conclusively that a noncovalent complex of the NTF and CTF is the active species of presenilin. However, although the PS1 NTF/CTF complex is necessary for gamma-secretase activity, it is not sufficient. Independent overexpression of the PS1 NTF and CTF was also used to show that the Asp-257 and Asp-385 mutations in PS1 decrease Abeta production by a direct effect on gamma-secretase activity and not by the inhibition of PS1 endoproteolysis.
Imidazolium salts as liquid coupling agents for the preparation of polypropylene‐silica composites (2009)

Abstract This article describes the application of ionic liquid 1‐decyl‐3‐methylimidazolium tetrafluoroborate in the preparation of polypropylene‐silica composites. The sol‐gel technology was used to prepare xerogel silica‐ionic liquid hybrid S1 , which was obtained as a free flowing powder of aggregated spherical particles. Ionic liquid free silica S2 was obtained by extraction and calcination of S1 . Melt blending of isotactic polypropylene with S1 and S2 afforded the composites C1 (with ionic liquid) and C2 (without ionic liquid), respectively. The presence of ionic liquid on the S1 silica surface promoted significantly improved silica dispersion in the polymer matrix and prevented compression of the silica particles. Furthermore, the crystallization temperature of composite C1 was significantly higher, which indicated that silica‐ionic liquid filler S1 acted as nucleating agent. The resistance to thermal decomposition of both composites was increased, but this was higher in the presence of ionic liquid. These results show that liquid salts can function as coupling agents and compatibalizers for the preparation of polymeric composites with differentiated properties. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010
Insights into a dual function amide oxidase/macrocyclase from lankacidin biosynthesis (2018)

Acquisition of new catalytic activity is a relatively rare evolutionary event. A striking example appears in the pathway to the antibiotic lankacidin, as a monoamine oxidase (MAO) family member, LkcE, catalyzes both an unusual amide oxidation, and a subsequent intramolecular Mannich reaction to form the polyketide macrocycle. We report evidence here for the molecular basis for this dual activity. The reaction sequence involves several essential active site residues and a conformational change likely comprising an interdomain hinge movement. These features, which have not previously been described in the MAO family, both depend on a unique dimerization mode relative to all structurally characterized members. Taken together, these data add weight to the idea that designing new multifunctional enzymes may require changes in both architecture and catalytic machinery. Encouragingly, however, our data also show LkcE to bind alternative substrates, supporting its potential utility as a general cyclization catalyst in synthetic biology.
The Critical Dimension Problem: No Compromise Feature Selection (2014)

The important feature selection problem has been studied extensively and a variety of algorithms has been proposed for analysis and mining tasks in diverse applications. As the era of big data arrives, the development of effective techniques for identifying important features or attributes in very large datasets will be highly valuable in dealing with many of the challenges that come with it. This paper describes work in progress regarding a related general problem: for a given dataset, is there a or minimum number of features that are necessary for achieving good results? In other words, for a dataset with many features, how many are truly relevant and important to be included in, say machine learning and/or mining tasks to ensure that acceptable performance is achieved? Moreover, if a Critical Dimension indeed exists, how to identify the features that need to be included? The problem is first analyzed formally and shown to be intractable. An ad hoc method is then designed for obtaining approximate solution; next experiments are performed on a selection of datasets of varying sizes to demonstrate that for many datasets there indeed exist a Critical Dimension. The significance of the existence or lack thereof in datasets is explained.
Characterization ofS-Triazine Herbicide Metabolism by aNocardioidessp. Isolated from Agricultural Soils (2000)

Atrazine, a herbicide widely used in corn production, is a frequently detected groundwater contaminant. Nine gram-positive bacterial strains able to use this herbicide as a sole source of nitrogen were isolated from four farms in central Canada. The strains were divided into two groups based on repetitive extragenic palindromic (rep)-PCR genomic fingerprinting with ERIC and BOXA1R primers. Based on 16S ribosomal DNA sequence analysis, both groups were identified as Nocardioides sp. strains. None of the isolates mineralized [ring-U-(14)C]atrazine. There was no hybridization to genomic DNA from these strains using atzABC cloned from Pseudomonas sp. strain ADP or trzA cloned from Rhodococcus corallinus. S-Triazine degradation was studied in detail in Nocardioides sp. strain C190. Oxygen was not required for atrazine degradation by whole cells or cell extracts. Based on high-pressure liquid chromatography and mass spectrometric analyses of products formed from atrazine in incubations of whole cells with H(2)(18)O, sequential hydrolytic reactions converted atrazine to hydroxyatrazine and then to the end product N-ethylammelide. Isopropylamine, the putative product of the second hydrolytic reaction, supported growth as the sole carbon and nitrogen source. The triazine hydrolase from strain C190 was isolated and purified and found to have a K(m) for atrazine of 25 microM and a V(max) of 31 micromol/min/mg of protein. The subunit molecular mass of the protein was 52 kDa. Atrazine hydrolysis was not inhibited by 500 microM EDTA but was inhibited by 100 microM Mg, Cu, Co, or Zn. Whole cells and purified triazine hydrolase converted a range of chlorine or methylthio-substituted herbicides to the corresponding hydroxy derivatives. In summary, an atrazine-metabolizing Nocardioides sp. widely distributed in agricultural soils degrades a range of s-triazine herbicides by means of a novel s-triazine hydrolase.
Noise cancellation based on adaptive fuzzy neural networks algorithm for multi-sensory signals (2004)

Adaptive fuzzy neural network system(AFNNS) is employed for adaptive noise cancellation using multi-sensory signal recordings of the same noise source. The method based on AFNNS not only achieves the H_2 optimal recontruction but also possesses a desired robust against the effect of uncertainties and incomplete information in (signal) processing. Simulation result shows that the design method can not only obtain simplicity of implementation but also achieve better reconstruction perfomance than the method based on the averaging method.
Single-cell analyses unravel cell type–specific responses to a vitamin D analog in prostatic precancerous lesions (2021)

Epidemiological data have linked vitamin D deficiency to the onset and severity of various cancers, including prostate cancer, and although in vitro studies have demonstrated anticancer activities for vitamin D, clinical trials provided conflicting results. To determine the impact of vitamin D signaling on prostatic precancerous lesions, we treated genetically engineered Pten<sup>(i)pe-/-</sup> mice harboring prostatic intraepithelial neoplasia (PIN) with Gemini-72, a vitamin D analog with reported anticancer activities. We show that this analog induces apoptosis in senescent PINs, normalizes extracellular matrix remodeling by stromal fibroblasts, and reduces the prostatic infiltration of immunosuppressive myeloid-derived suppressor cells. Moreover, single-cell RNA-sequencing analysis demonstrates that while a subset of luminal cells expressing Krt8, Krt4, and Tacstd2 (termed luminal-C cells) is lost by such a treatment, antiapoptotic pathways are induced in persistent luminal-C cells. Therefore, our findings delineate the distinct responses of PINs and the microenvironment to Gemini-72, and shed light on mechanisms that limit treatment's efficacy.
Separation of albumin, ceruloplasmin, and transferrin from human plasma (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSeparation of albumin, ceruloplasmin, and transferrin from human plasmaGrady Barnes and Earl Frieden Cite this: J. Chem. Educ. 1982, 59, 10, 873Publication Date (Print):October 1, 1982Publication History Received3 August 2009Published online1 October 1982Published inissue 1 October 1982https://doi.org/10.1021/ed059p873Request reuse permissionsArticle Views243Altmetric-Citations1LEARN 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 (1 MB) Get e-Alertsclose Get e-Alerts
Enabling Micro Injection Moulding Using a Soft Tooling Process Chain with Inserts Made of Mortar Material (2021)

The manufacturing of inserts for micro injection moulding made of mortar material is presented in this work. The fabrication of the mortar insert described in this publication relied on a versatile and relatively fast rapid prototyping process based on soft tooling. The mortar insert has a QR code with micro features on its surface, which was replicated in acrylonitrile butadiene styrene (ABS) polymer by the micro injection moulding process. With this approach, it is possible to fabricate hard inserts for micro injection moulding purposes that are able to compete with conventional-made inserts made of tool steel.
Characterization of the Dynamical Response of a Micromachined G-Sensor to Mechanical Shock Loading (2008)

Squeeze film damping has a significant effect on the dynamic response of microelectromechanical system (MEMS) devices that employ perforated microstructures with large planar areas and small gap widths separating them from the substrate. Perforations can alter the effect of squeeze film damping by allowing the gas underneath the device to easily escape, thereby lowering damping. By decreasing the size of the holes, damping increases and the squeeze film damping effect increases. This can be used to minimize the out-of-plane motion of the microstructures toward the substrate, thereby minimizing the possibility of contact and stiction. This paper aims to explore the use of the squeeze film damping phenomenon as a way to mitigate shock and minimize the possibility of stiction and failure in this class of MEMS devices. As a case study, the performance of a G-sensor (threshold accelerometer) employed in an arming and fusing chip is investigated. The effect of changing the size of the perforation holes and the gap width separating the microstructure from the substrate are studied. A multiphysics finite-element model built using the software ANSYS is utilized for the fluidic and transient structural analysis. A squeeze film damping model, for both the air underneath the structure and the flow of the air through the perforations, is developed. Results are shown for various models of squeeze film damping assuming no holes, large holes, and assuming a finite pressure drop across the holes, which is the most accurate way of modeling. It is found that the threshold of shock that causes the G-sensor to contact the substrate has increased significantly when decreasing the holes size or the gap width, which is very promising to help mitigate stiction in this class of devices, thereby improving their reliability.