gebhart/patrepeval huggingface dataset:
Packet classification for Network Processors in WSN traffic using ANN (2008)

Wireless sensor networks (WSN) mainly comprise of small sensor nodes which have limited resources. Base stations in WSN connect these sensor nodes with the rest of the world. The base stations are responsible for handling large amount of data and must have built in computational abilities capable of dealing with those data. Network Processors (NP) are intended to replace conventional processors in the base station and they can bring the new levels of performances in information processing. This paper discusses the design of co-processor which could assist the packet classification for NPs. In this work we use Neural Network to classify the packets based on nature of the data to overcome the traffic in WSN. The classification is done using conventional feed-forward back propagation network (BPN), to give optimum result.
High-performance floating point divide (2002)

In modern processors floating point divide operations often take 20 to 25 clock cycles, five times that of multiplication. Typically multiplicative algorithms with quadratic convergence are used for high-performance divide. A divide unit based on the multiplicative Newton-Raphson iteration is proposed. This divide unit utilizes the higher-order Newton-Raphson reciprocal approximation to compute the quotient fast, efficiently and with high throughput. The divide unit achieves fast execution by computing the square, cube and higher powers of the approximation directly and much faster than the traditional approach with serial multiplications. Additionally, the second, third and higher-order terms are computed simultaneously further reducing the divide latency. Significant hardware reductions have been identified that reduce the overall computation significantly and therefore, reduce the area required for implementation and the power consumed by the computation. The proposed hardware unit is designed to achieve the desired quotient precision in a single iteration allowing the unit to be fully pipelined for maximum throughput.
Collaboration Scientifique Alger -Nantes-Marseille (2011)

La collaboration Scientifique entre&#13;\n l'Algérie et la France est illustrée ici par l'exemple des actions de recherche entre&#13;\n l'USTHB, l'Université de Nantes, l'Ecole Centrale de Nantes, l'Ecole des Mines de Nantes&#13;\n et l'Université Paul Cézanne d'Aix-Marseille.
The pCLEAN Dual Binary Vector System forAgrobacterium-Mediated Plant Transformation (2007)

The development of novel transformation vectors is essential to the improvement of plant transformation technologies. Here, we report the construction and testing of a new multifunctional dual binary vector system, pCLEAN, for Agrobacterium-mediated plant transformation. The pCLEAN vectors are based on the widely used pGreen/pSoup system and the pCLEAN-G/pCLEAN-S plasmids are fully compatible with the existing pGreen/pSoup vectors. A single Agrobacterium can harbor (1) pCLEAN-G and pSoup, (2) pGreen and pCLEAN-S, or (3) pCLEAN-G and pCLEAN-S vector combination. pCLEAN vectors have been designed to enable the delivery of multiple transgenes from distinct T-DNAs and/or vector backbone sequences while minimizing the insertion of superfluous DNA sequences into the plant nuclear genome as well as facilitating the production of marker-free plants. pCLEAN vectors contain a minimal T-DNA (102 nucleotides) consisting of direct border repeats surrounding a 52-nucleotide-long multiple cloning site, an optimized left-border sequence, a double left-border sequence, restriction sites outside the borders, and two independent T-DNAs. In addition, selectable and/or reporter genes have been inserted into the vector backbone sequence to allow either the counter-screening of backbone transfer or its exploitation for the production of marker-free plants. The efficiency of the different pCLEAN vectors has been assessed using transient and stable transformation assays in Nicotiana benthamiana and/or Oryza sativa.
Characterization of the CO2-Fluid-Shale Interface Via Feature Relocation Using Field-Emission Scanning Electron Microscopy, in Situ Infrared Spectroscopy, and Pore Size Analysis (2018)

Abstract Fundamental research targeting the interactions of CO2 and fluids with unconventional shale systems is limited from the perspective of using carbon dioxide 1) as an alternative fracturing fluid, 2) as an agent to enhance hydrocarbon production, and 3) as an injection agent into the shale formation for storage purposes to avert emissions to the atmosphere. In this work, we apply in-situ infrared spectroscopy (FT-IR), scanning electron microscopy coupled with energy dispersive spectroscopy (SEM-EDS), and Brunauer-Emmett-Teller (BET) surface area and density functional theory (DFT) pore size analysis to examine the effects of CO2 and fluid on the Marcellus and Utica Shales. Results show changes to the shale at both the micron and nanometer scale after reaction with CO2 and water. These alterations could potentially alter overall permeability and fracture networks that may cause issues for future EOR activities, CO2 storage, and/or the practice of using CO2 as a hydraulic fracturing material.
Expression profiling of suppressive monocytes (CD14+HLA-DRlow/neg) in cancer patients (2013)

Meeting abstracts Immune evasion by suppression of host immunity is one of the major mechanisms that tumors use to promote its own survival. We have reported an abundance of immunosuppressive monocytes (CD14+HLA-DRlow/neg) in lymphoma (LYM), multiple myeloma (MM), glioblastoma multiforme (GBM),
Genomic Microbial Epidemiology Is Needed to Comprehend the Global Problem of Antibiotic Resistance and to Improve Pathogen Diagnosis (2016)

Contamination of waste effluent from hospitals and intensive food animal production with antimicrobial residues is an immense global problem. Antimicrobial residues exert selection pressures that influence the acquisition of antimicrobial resistance and virulence genes in diverse microbial populations. Despite these concerns there is only a limited understanding of how antimicrobial residues contribute to the global problem of antimicrobial resistance. Furthermore, rapid detection of emerging bacterial pathogens and strains with resistance to more than one antibiotic class remains a challenge. A comprehensive, sequence-based genomic epidemiological surveillance model that captures essential microbial metadata is needed, both to improve surveillance for antimicrobial resistance and to monitor pathogen evolution. Escherichia coli is an important pathogen causing both intestinal [intestinal pathogenic E. coli (IPEC)] and extraintestinal [extraintestinal pathogenic E. coli (ExPEC)] disease in humans and food animals. ExPEC are the most frequently isolated Gram negative pathogen affecting human health, linked to food production practices and are often resistant to multiple antibiotics. Cattle are a known reservoir of IPEC but they are not recognized as a source of ExPEC that impact human or animal health. In contrast, poultry are a recognized source of multiple antibiotic resistant ExPEC, while swine have received comparatively less attention in this regard. Here, we review what is known about ExPEC in swine and how pig production contributes to the problem of antibiotic resistance.
Anticipated Increases in Medically Attended Injuries by Children and Young Adults With the Affordable Care Act (2013)

Injury prevention strategies and additional injury care training for primary care physicians may help ensure appropriate triage and optimal outcomes while containing costs.
Hybrid Approach in the Analysis of Bovine Milk Protein Hydrolysates as a Source of Peptides Containing Di- and Tripeptide Bitterness Indicators (2020)

BSA, bovine serum albumin; B, bromelain; B-MPC, bromelain hydrolysate of milk protein concentrate; F, fi cin; F-MPC, fi cin hydrolysate of milk protein concentrate; MLR, multivariate linear regression; MPC, milk protein concentrate; O-MPC, non-hydrolyzed milk protein concentrate; P, papain; P-MPC, papain hydrolysate of milk protein concentrate; PK, proteinase K; PK-MPC, proteinase K hydrolysate of milk protein concentrate; RP-HPLC, reversed-phase high performance liquid chromatography; RP-HPLC-MS/MS, reversed--phase high performance liquid chromatography and mass spectrometry; Rcaf., the ratio of caffeine (the threshold concentration for 1 mM caffeine solution as a standard (Rcaf. = 1.0); t R predicted , theoretical retention time; t R experimental , experimental retention time; s1 , casein; s2 -CN, s2 -casein; -La, --lactalbumin; -Lg, lactoglobulin; -CN, casein; -CN, -casein; and TFA, trifl uoracetic acid.
Backscatter analysis of dihedral corner reflectors using physical optics and the physical theory of diffraction (1987)

Physical optics (PO) and the physical theory of diffraction (PTD) are used to determine the backscatter cross sections of dihedral corner reflectors in the azimuthal plane for the vertical and horizontal polarizations. The analysis incorporates single, double, and triple reflections; single diffractions; and reflection-diffractions. Two techniques for analyzing these backscatter mechanisms are contrasted. In the first method, geometrical optics (GO) is used in place of physical optics at initial reflections to maintain the planar nature of the reflected wave and subsequently reduce the complexity of the analysis. The objective is to avoid any surface integrations which cannot be performed in closed form. This technique is popular because it is inherently simple and is readily amenable to computer solutions. In the second method, physical optics is used at nearly every reflection to maximize the accuracy of the PTD solution at the expense of a rapid increase in complexity. In this technique, many of the integrations cannot be easily performed, and numerical techniques must be utilized. However, this technique can yield significant improvements in accuracy. In this paper, the induced surface current densities and the resulting cross section patterns are illustrated for these two methods. Experimental measurements confirm the accuracy of the analytical calculations for dihedral corner reflectors with right, acute, and obtuse interior angles.
<b>The analgesic effects of newly developed magnetic stimulator in volunteers with shoulder stiffness </b> (2011)

We have newly developed a low-powered magnetic stimulator (MS) that is characterized by two different frequency modes: 2 kHz (low frequency) and 83 MHz (ultra-short wave). It is suggested that MS reduces rat neuropathic pain associated with the prevention of neuronal degeneration. However, little is known about certain mechanisms of MS, at least, applicable value of the analgesic approaches in clinical situation. Thus, we aimed to determine the analgesic effects of MS in human with shoulder stiffness. We recruited volunteers with shoulder stiffness (MS was applied once for 10 min.) and with acute pain (MS was applied once a day (10 min period) for 9 days. The trial study on analgesic effects in human of new magnetic therapeutic instrument (Angel Touch®) were examined. We examined safety of MS based on electrocardiographic testing and body surface temperature. By using the heart rate on the electrocardiogram, we used FFT analyzer to analyze low frequency components (LH: 0.05 - 0.15Hz) and high frequency components (HF: 0.15 - 0.45 Hz). Muscle shoulder stiffness has been improved by the continued irradiation without a thermal action. Based on the present study, we suggest that MS has beneficial analgesic effects in human, and that MS will be a useful approach to treatment for neurodegenerative disorder because it may relieve pain via improvement of functional modulation of pain-emotional system.
Cost-Effectiveness of Universal Asymptomatic Preoperative SARS-CoV-2 Polymerase Chain Reaction Screening: A Cost-Utility Analysis (2023)

Asymptomatic preoperative universal SARS-CoV-2 PCR screening is not cost-effective in the base case analysis. The cost-effectiveness mainly depends on the test-positive rate, the frequency of postoperative pulmonary complications, and the screening costs; however, no matter how high the test-positive rate, the cost-effectiveness is poor if the probability of developing postoperative pulmonary complications among patients positive for SARS-CoV-2 is sufficiently reduced.
Abstract 2688: The landscape of precision cancer combination therapy: a single-cell perspective (2021)

Abstract The availability of single-cell transcriptomics data opens new opportunities for rational design of combination cancer treatments in a systematic manner. Mining such data, we explore the landscape of optimal combination therapy targets in solid tumors (including brain, head and neck, melanoma, lung, breast and colon cancers). To this end, we developed MadHitter (https://github.com/ruppinlab/madhitter), which analyzes tumor single-cell transcriptomics data using combinatorial algorithms to identify precision combination of treatment targets that are predicted to maximize the killing of cancer cells while minimizing the killing of noncancerous ones. We started with a predefined set of 533 proteins that are lowly abundant across healthy tissues and thus may have low off-tumor targeting and toxicity if targeted via chimeric antigen receptors (CAR) T cell therapy. In most cancer types analyzed, we find that combinations composed of a single-digit number of targets are sufficient to kill at least 80% of the tumor cells while killing at most 10% of the non-tumor cells in each patient. We identify targets that are shared across datasets of the same cancer type (e.g., TNR) or across different cancer types (the SOX family, MAGE family, and KRT16). Next, we expanded our search for a set of 1269 known cell surface receptors, which may be precisely targeted by antibody or nanoparticles delivering a toxin into cells via receptor mediated endocytosis. The resulting optimal target sets are encouragingly also in the single-digit size. The gene PTPRZ1, a tyrosine phosphatase receptor, is frequently found in the optimal combinations for brain and head and neck cancers, and EGFR is a high-coverage target in multiple tumor types. Notably, requiring more stringent levels of cancer killing, the number of targets that need to be combined rises sharply in both search spaces described above. In sum, this analysis provides the first systematic characterization of potential combinatorial targets in solid tumors, uncovering promising future targets for both CAR therapy and conjugated toxin delivering antibodies and nanoparticles. Citation Format: Saba Ahmadi, Pattara Sukprasert, Rahulsimham Vegesna, Sanju Sinha, Natalie Artzi, Samir Khuller, Alejandro A. Schäffer, Eytan Ruppin. The landscape of precision cancer combination therapy: a single-cell perspective [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2688.
Effect of carbohydrate and nitrogen on hydrogen peroxide formation by wood decay fungi in solid medium (1987)

Hydrogen peroxide (H2O2) has been implicated in degradation of wood by both brown-rot and white-rot fungi. This study found that low concentrations of nitrogem and carbohydrates (cellobiose, glucose, xylose and mannose) in an agar medium had little effect on H2O2 production by white-rot fungi. However, low concentrations of nitrogen and carbohydrates stimulated H2O2 production by brown-rot fungi. Use of the chromogen 2,2′-azino-di(3-ethyl benzthiazoline-6-sulphonic acid) (ABTS) with horseradish peroxidase to detect H2O2 by the fungi was slightly better than detection by the chromogen o-dianisidine with horseradish peroxidase. An auxiliary test to check the role of H2O2 in wood decay found that hydrogen peroxide-negative isolates of the white-rot fungi Pharnerochaete chrysosporium and Ganoderma applanatum were unable to decay sweetgum and southern pine.
Diode Pumped Chirped Pulse Amplification to the Joule Level and Beyond (2005)

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 J. Hein, S. Podleska, M. Siebold, M. Hellwing, R. Bödefeld, R. Sauerbrey, D. Ehrt, and W. Wintzer, "Diode Pumped Chirped Pulse Amplification to the Joule Level and Beyond," in Advanced Solid-State Photonics, Technical Digest (Optica Publishing Group, 2005), paper ME4. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Development of sample verification system for sample return missions (2011)

This paper describes the development of a proof-of-concept sample verification system (SVS) for in-situ mass measurement of planetary rock and soil sample in future robotic sample return missions. Our proof-of-concept SVS device contains a 10 cm diameter pressure sensitive elastic membrane placed at the bottom of a sample canister. The membrane deforms under the weight of accumulating planetary sample. The membrane is positioned in proximity to an opposing substrate with a narrow gap. The deformation of the membrane makes the gap to be narrower, resulting in increased capacitance between the two nearly parallel plates. Capacitance readout circuitry on a nearby printed circuit board (PCB) transmits data via a low-voltage differential signaling (LVDS) interface. The fabricated SVS proof-of-concept device has successfully demonstrated approximately 1pF/gram capacitance change.
Photosensitive Epoxy Materials and their Application to Multi-mode Optical Waveguides (2009)

A photosensitive epoxy (PSEP) for multi-mode optical waveguide based on epoxy resins containing fluorene units and photo-acid generator (PAG) has been developed. PSEP is directly patterned by UV irradiation and wet chemical development, avoiding use of photoresist. Fabricated optical waveguides have 50μm width rectangle core pattern, which was smooth sidewalls and surfaces. PSEP optical waveguide exhibits high heat resistance and low optical loss 0.063 μm at 830nm. This simplification of the fabrication process is very attractive in manufacturing optical/electrical devices at low cost.
Design Of Static Synchronous Series Compensator Based Damping Controller Employing Real Coded Genetic Algorithm (2011)

This paper presents a systematic approach for designing Static Synchronous Series Compensator (SSSC) based supplementary damping controllers for damping low frequency oscillations in a single-machine infinite-bus power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. Simulation results are presented and compared with a conventional method of tuning the damping controller parameters to show the effectiveness and robustness of the proposed design approach.
Modulation of STAT‐3 in rheumatoid synovial T cells suppresses Th17 differentiation and increases the proportion of Treg cells (2012)

Our findings indicate that modulation of STAT-3 in CD4+ T cells affects the differentiation of Th17 cells and Treg cells in patients with RA. This role of STAT-3 in RA synovial T cells may provide a new therapeutic target for the management of RA.
Heme Potently Stimulates Tissue Factor Expression By Peripheral Blood Monocytes: A Novel Mechanism For Thrombosis In Intravascular Hemolytic Diseases (2013)

Abstract Intravascular hemolytic diseases such as sickle cell anemia as well as diseases such as sepsis/DIC in which intravascular hemolysis occurs are frequently complicated by micro- and macrovascular thrombosis but mechanisms underlying this association are unclear. Plasma heme levels in sickle cell anemia are typically 5-30 µM. LPS is a prototypic and potent agonist for peripheral blood monocyte tissue factor expression and by this mechanism contributes to thrombosis in sepsis. Because heme, like LPS, signals by binding to and activating TLR4, we hypothesized that heme would also stimulate tissue factor expression in monocytes and so promote thrombosis in sickle cell anemia. We isolated human peripheral blood mononuclear cells (PBMC) and monocytes, incubated them 4 hours in the presence or absence of 10 µM hemin or 10 ng/ml LPS, made whole cell lysates by freeze-thawing and sonication and measured tissue factor activity using a one-stage clotting assay employing recalcified citrated human plasma. The assay was standardized with recombinant human tissue factor and the tissue factor dependence of the assay was confirmed using the neutralizing anti-human tissue factor antibody ATF. Hemin stimulated PBMC TF activity ca. 40-fold (range 6- to 296-fold) from 53 to 1885 pg/ml/million cells, an extent comparable to that of LPS (1939 pg/ml/million cells). In isolated monocytes heme increased TF activity ca. 70-fold (range 25-115-fold) to 9800 pg/ml/million cells, again comparable to LPS (8500 pg/ml/million cells.) Heme stimulation of monocyte TF expression did not reflect endotoxin contamination of our hemin preparation because it was 1) reproduced with a preparation of hemin made for infusion into patients with intermittent porphyria that had no detectable endotoxin; 2) unaffected by addition of 1 µg polymyxin B, which abrogated LPS stimulation; 3) blocked by 15 µM hemopexin, a high affinity heme-binding protein. qRT-PCR of TF expression in monocytes shows a 140-350-fold increase in TF mRNA levels over baseline between 2 and 4 hours after exposure to heme. Examining pathways for heme signaling, we demonstrate that heme stimulation of TF expression in monocytes is impaired &gt; 90% by inhibitors of TLR4 (TAK242), NADPH oxidase (diphenylene iodonium), PKC (5 µM calphostin) and ERK ½ (10 µM U-0126), impaired 75% by the p50 NF-kB inhibitor 10 µg/ml andrographolide and unaffected by 100 nM wortmannin, an AKT/PI3K pathway inhibitor. We conclude that heme, at concentrations found in intravascular hemolytic diseases such as sickle cell anemia, is a highly potent stimulant of blood monocyte TF transcriptional expression dependent upon signaling through TLR4, PKC, NADPH oxidase, ERK ½ and NF-kB. By this direct mechanism heme may promote thrombosis and contribute to the pathogenesis of sickle cell anemia and other diseases characterized by intravascular hemolysis, including sepsis/DIC. Disclosures: No relevant conflicts of interest to declare.
Oncogenic β-Catenin Signaling Networks in Colorectal Cancer (2005)

Beta-catenin has two distinct functions, namely, maintaining cell-to-cell adhesion and mediating the Wnt/beta-catenin signal transduction pathway, which plays pivotal roles in embryogenesis and in malignant transformation of cells. The oncogenic properties of Wnt/beta-catenin signaling stem from alteration in phosphorylation-dependent protein degradation and subcellular localization of beta-catenin from cell membrane to the nucleus, where it binds to T-cell factor (Tcf) to form a bipartite transcription factor. The beta-catenin/Tcf complex facilitates transcription of target genes that encode effectors for activation of cell proliferation and invasion and inhibition of apoptosis, leading to colorectal cancer development. In addition, in the tumor invasion front, stabilized and activated beta-catenin interacts with other molecular pathways to facilitate tumor progression. This review highlights the beta-catenin-dependent oncogenic signaling network involved in the multi-step process of colorectal tumorigenesis. Wnt signaling evidently regulates stem cells, leading them to differentiate or self-renew. We address roles of oncogenic beta-catenin signaling in the microenvironment of the tumor-host interface that determine the individual tumor's malignant potential and in regulation of putative cancer stem or progenitor cells that represent plausible targets for cancer eradication.