gebhart/patrepeval huggingface dataset:
USING MULTI-AGENT SYSTEMS FOR SECURING PHARMACEUTICAL SUPPLY CHAINS (2011)

is one of the most countries that face the problem of drug counterfeit, counterfeit trade is near to 1 billion LE, out of 12 billion LE the volume of drug market trade in Egypt As announced by the official speaker of the ministry of Health and Population in Egypt. Hence, it can be seen that the drug counterfeit problem is a threatening problem nationally and internationally. Due to the great expansion of supply chains, the drug counterfeit problem has become more complex. In this work, many aspects are discussed including: ePedigree, Databases, RFID, 2D barcodes, Multi-agent systems, and the integration of these tools to develop a system to secure the pharmaceutical supply chain. This paper presents MASP (Multi-Agent System for Pharmaceutical supply chains) and its technological components. The MASP system is developed to control and secure the supply chain and make sure that the product that get out of the manufacturer will find its right way to customers.
Up- and down-regulation of granulocyte/macrophage-colony stimulating factor activity in murine skin increase susceptibility to skin carcinogenesis by independent mechanisms. (2001)

The role of granulocyte-macrophage colony-stimulating factor (GM-CSF) in tumorigenesis is complex. On the one hand, GM-CSF can promote tumor cell growth, survival, and even metastasis. On the other hand, it can stimulate tumor cell rejection. In skin, it is early expressed after topic application of tumor-promoting agents and therefore may be responsible for changes that correlate with skin tumor promotion (e.g., epidermal hyperproliferation and inflammation). To analyze GM-CSF function in skin tumorigenesis, we generated transgenic mice epidermally overexpressing either GM-CSF or a GM-CSF antagonist. Both types of transgenic mice exhibited significantly increased numbers of benign tumors in a two-step skin carcinogenesis experiment using 7',12'-dimethylbenz[a]anthracene (DMBA) as initiator and 12-O-tetradecanoylphorbol-CSF displayed a significantly elevated carcinoma burden following a single-step carcinogenesis protocol consisting of tumor initiation only. Therefore, endogenous promotion is responsible for elevated tumor development in GM-CSF-overexpressing mice. In antagonist transgenic animals, an increased tumorigenicity of modified B16 tumor cells after cutaneous transplantation as compared with nontransgenic or GM-CSF transgenic mice was observed. Thus, the antitumor activity leading to the repression of tumor cell growth in control mice is GM-CSF dependent and is compromised in mice expressing the antagonist. We suggest that both, up-regulation and down-regulation of GM-CSF activity in skin, increase the incidence and growth of tumors via two independent mechanisms: endogenous tumor promotion in the case of increased GM-CSF activity and compromised tumor cell rejection in the case of decreased GM-CSF activity.
Abstract LB-246: Identification of novel direct targets of miR-19a in MCF-7 breast cancer cells (2010)

Abstract Background: MicroRNAs (miRNAs) are small non-cording RNAs (20-23 nucleotides) that negatively regulate gene expression at post-transcriptional level by interacting with 3′UTRs of their target mRNAs. Aberrant expression of miRNAs in cancer indicates that miRNAs play key roles in human cancers acting as either oncogenes or tumor suppressor genes depending on their targets. The miR-17-92 cluster, including miR-17-5p, -17-3p, -18a, -19a, -20a, -19b and -92-1, located on C13orf25 is well known as oncogenic miRNA, which is overexpressed in lung cancer, malignant lymphoma and breast cancer. However, few data have been collected about the targets of miRNAs, including miR-17-92 cluster, and their roles in tumorigenesis. By using a proteomic approach, we identify novel direct targets of miR-19a. Methods and Results: MiR-17-92 expression profiling was performed in a subset of 32 of cancer cell lines by TanqMan Real-time PCR, and MCF-7 breast cancer cell line was identified as a miR-17-92 cluster overexpressed cell line. To detect candidate target proteins for miR-17-92 cluster, we transfected MCF-7 cell with antisense oligonucleotides against miR-19a, -20a and -92-1 and then performed two-dimensional protein electrophoresis (2-DE) and differential display analysis in protein extracts of MCF-7 which was knocked down of endogenous miR-17-92 by antisense oligonucleotides. Of the 1455 defined valid protein spots, 146 distinct proteins changed 1.5-fold their expression. 135 proteins were identified as candidate target proteins for miR-17-92 cluster by LC-MS/MS. To determine direct targets of miR-17-92, bioinformatics analysis, luciferase assay and western blotting analysis were performed as validation studies. Conclusions: Our results of exhaustive analysis revealed significant differences in the proteomic profile between anti-miR-LNA treated and non-treated MCF-7 breast cancer cell line. Among these candidate target proteins of miR17-92 cluster, we identified novel direct target of miR-19a. To better evaluate the role of miR-19a and the target gene, further studies of gene function are being performed now. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-246.
Focusing simulations of synthetic aperture radar ocean images (1990)

The SAR ocean images obtained in the Tower Ocean Wave and Radar Dependence Experiment (TOWARD) are carefully analyzed at different focus settings and compared with simulated results based on various theories for imaging surface waves. The agreement between the experimental data and all of the SAR simulations except one is found to be favorable. There is also surprisingly close agreement among the different theoretical models themselves, suggesting a closer fundamental similarity among the contending theories than was previously thought. It is shown that the width of the focusing curve has an inverse dependence on the SAR integration time. For the TOWARD conditions it is found that the image modulation due to azimuth‐traveling surface waves is greater than that due to range‐traveling waves.
Dynamic and Data-Driven Classification for Polarimetric SAR Images (2011)

In this paper, we introduce dynamic and scalable Synthetic Aperture Radar (SAR) terrain classification based on the
Collective Network of Binary Classifiers (CNBC). The CNBC framework is primarily adapted to maximize the SAR
classification accuracy on dynamically varying databases where variations do occur in any time in terms of (new)
images, classes, features and users' relevance feedback. Whenever a occurs, the CNBC dynamically and
optimally adapts itself to the change by means of its topology and the underlying evolutionary method MD PSO.
Thanks to its Divide and Conquer type approach, the CNBC can also support varying and large set of (PolSAR)
features among which it optimally selects, weighs and fuses the most discriminative ones for a particular class. Each
SAR terrain class is discriminated by a dedicated Network of Binary Classifiers (NBC), which encapsulates a set of
evolutionary Binary Classifiers (BCs) discriminating the class with a distinctive feature set. Moreover, with each
incremental evolution session, new classes/features can be introduced which signals the CNBC to create new
corresponding NBCs and BCs within to adapt and scale dynamically to the change. This can in turn be a significant
advantage when the current CNBC is used to classify multiple SAR images with similar terrain classes since no or only
minimal (incremental) evolution sessions are needed to adapt it to a new classification problem while using the
previously acquired knowledge. We demonstrate our proposed classification approach over several medium and highresolution
NASA/JPL AIRSAR images applying various polarimetric decompositions. We evaluate and compare the
computational complexity and classification accuracy against static Neural Network classifiers. As CNBC classification
accuracy can compete and even surpass them, the computational complexity of CNBC is significantly lower as the
CNBC body supports high parallelization making it applicable to grid/cloud computing.
Normal and tumor-derived organoids as a drug screening platform for tumor-specific drug vulnerabilities (2022)

Patient-derived tumor organoids can be predictive of patient's treatment responses, and normal tissue-derived organoids allow for drug toxicity testing. Combining both types of organoids therefore enables screening for tumor-specific drug vulnerabilities. Here, we provide a detailed protocol for organoid drug screening using, as proof-of-principle, patient-derived malignant rhabdoid tumor organoids. The protocol can be adapted for drug testing on any tumor and/or normal tissue-derived organoid culture. For complete details on the use and execution of this protocol, please refer to Calandrini et al. (2021).
Adrenomedullin Gene Transfer Induces Therapeutic Angiogenesis in a Rabbit Model of Chronic Hind Limb Ischemia (2004)

Background— Earlier studies have shown that adrenomedullin (AM), a potent vasodilator peptide, has a variety of cardiovascular effects. However, whether AM has angiogenic potential remains unknown. This study investigated whether AM gene transfer induces therapeutic angiogenesis in chronic hind limb ischemia. Methods and Results— Ischemia was induced in the hind limb of 21 Japanese White rabbits. Positively charged biodegradable gelatin was used to produce ionically linked DNA-gelatin complexes that could delay DNA degradation. Human AM DNA (naked AM group), AM DNA-gelatin complex (AM-gelatin group), or gelatin alone (control group) was injected into the ischemic thigh muscles. Four weeks after gene transfer, significant improvements in collateral formation and hind limb perfusion were observed in the naked AM group and AM-gelatin group compared with the control group (calf blood pressure ratio: 0.60±0.02, 0.72±0.03, 0.42±0.06, respectively). Interestingly, hind limb perfusion and capillary density of ischemic muscles were highest in the AM-gelatin group, which revealed the highest content of AM in the muscles among the three groups. As a result, necrosis of lower hind limb and thigh muscles was minimal in the AM-gelatin group. Conclusions— AM gene transfer induced therapeutic angiogenesis in a rabbit model of chronic hind limb ischemia. Furthermore, the use of biodegradable gelatin as a nonviral vector augmented AM expression and thereby enhanced the therapeutic effects of AM gene transfer. Thus, gelatin-mediated AM gene transfer may be a new therapeutic strategy for the treatment of peripheral vascular diseases.
The Increased Forming Limits of Incremental Sheet Forming Processes (2007)

This DOI is not currently attached to any metadata records. DOIs can’t actually ever be deleted (they’re persistent), but sometimes our members create DOIs in error. We do have a process to approximate deletion which we follow only in rare cases where the DOI has been genuinely created in error, and most crucially, if the DOI has never been published anywhere online or in print and never otherwise distributed to or communicated with anyone (authors, readers, reviewers, etc.
Digital Correction of Time Interleaved DAC Mismatches (2019)

Time Interleaved Digital to Analog Converters (TIDACs) enable high speed DAC operation but suffer from distortion due to mismatches between sub DACs. To mitigate this distortion, we propose a mismatch correction method which pre-processes the DAC input using digital filters. The optimal filter coefficients are computed via a foreground calibration algorithm. We show that the correction method has minimal complexity and is able to significantly reduce mismatch induced distortion.
Copper(II) tetrakis(pentafluorophenyl)-β-octachloroporphyrin (1993)

l 6.2. l.136. l 8u. l 1316]tetracosa-1, 3(21),4,6,8(22),9,11, 13(23), 14, 16, 18(24), 19-dodecaene }copper(II) ( CuTFPPC1 8 ) dichloromethane solvate, shows a large tetrahedral distortion or ruffling, t Contribution No. 8623.
Federated Learning for UAV Swarms Under Class Imbalance and Power\n Consumption Constraints (2021)

The usage of unmanned aerial vehicles (UAVs) in civil and military\napplications continues to increase due to the numerous advantages that they\nprovide over conventional approaches. Despite the abundance of such advantages,\nit is imperative to investigate the performance of UAV utilization while\nconsidering their design limitations. This paper investigates the deployment of\nUAV swarms when each UAV carries a machine learning classification task. To\navoid data exchange with ground-based processing nodes, a federated learning\napproach is adopted between a UAV leader and the swarm members to improve the\nlocal learning model while avoiding excessive air-to-ground and ground-to-air\ncommunications. Moreover, the proposed deployment framework considers the\nstringent energy constraints of UAVs and the problem of class imbalance, where\nwe show that considering these design parameters significantly improves the\nperformances of the UAV swarm in terms of classification accuracy, energy\nconsumption and availability of UAVs when compared with several baseline\nalgorithms.\n
Supplementary Figure 1 from Systemic Immunotherapy of Non-Muscle Invasive Mouse Bladder Cancer with Avelumab, an Anti–PD-L1 Immune Checkpoint Inhibitor (2023)

&lt;p&gt;Flow cytometric analyses depicting the percentage of splenocytes from mice that express CD4 or CD8 indicating the two T cell subsets.&lt;/p&gt;
High throughput screening method for asessing heterogeneity of microorganisms (2008)

Samenvatting niet beschikbaar voor EP1877533
Endogenous activation of adaptive immunity: Tenascin‐C drives interleukin‐17 synthesis in murine arthritic joint disease (2012)

These data demonstrate that tenascin-C is important in DC-mediated polarization of Th17 lymphocytes during inflammation and suggest a key role for this endogenous danger signal in driving adaptive immunity in erosive joint disease.
Feature Selection Techniques for Classification of Satellite Images with Fuzzy ARTMAP Neural Networks (2006)

The selection of most relevant features can significantly reduce the resource requirement associated with fuzzy ARTMAP neural networks for the classification of high-dimensional data extracted from satellite imagery. This paper introduces a variant of a wrapper-type feature ranking technique that was previously proposed for ARTMAP neural networks by Parsons and Carpenter. As with the originally proposed technique, it evaluates the relevance of features based solely on between-class scatter from the geometry of internal ARTMAP categories. This paper also explores the inclusion into these feature ranking techniques of a within-class scatter measurement. Comparative simulations, performed on the Landsat multi-spectral imagery benchmark ('Satimage' from the StatLog repository), indicate that a significantly lower generalization error and fewer resources may be achieved by learning subsets produced by techniques that evaluate the relevance of features using both between- and within-class scatter.
Analysis of radial line slot antennas with dielectric layers over the aperture (2003)

Abstract The slot coupling characteristics are analyzed and the aperture distributions are evaluated for several dielectric layers loaded on the upper surface outside the radial line slot antenna. First, for the design of a uniform aperture distribution, mutual coupling is expressed approximately by an infinite array of two‐dimensional slot pairs with equal‐amplitude excitation in a model with periodic boundary walls in the two directions of an external region. Based on this approximation, the slot length and the pair spacing in the radial direction are controlled so as to design an array with a uniform aperture distribution. Next, as a model effective for an arbitrary distribution over a finite aperture, a slot array that is finite in one dimension is analyzed by the spectral domain approach. Also, if the situation with dielectric loading through a gap such as a radome is considered, it is shown that the effect on the aperture distribution can be neglected if a dielectric layer with a thickness reducing the Fresnel reflection coefficient is placed about 1/8 wavelength away. The validity of the analysis and design is confirmed by trial fabrication and measurement at 38 GHz. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 87(3): 19–27, 2004; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecja.10169
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift (2022)

For many applications, analyzing the uncertainty of a machine learning model is indispensable. While research of uncertainty quantification (UQ) techniques is very advanced for computer vision applications, UQ methods for spatio-temporal data are less studied. In this paper, we focus on models for online handwriting recognition, one particular type of spatio-temporal data. The data is observed from a sensor-enhanced pen with the goal to classify written characters. We conduct a broad evaluation of aleatoric (data) and epistemic (model) UQ based on two prominent techniques for Bayesian inference, Stochastic Weight Averaging-Gaussian (SWAG) and Deep Ensembles. Next to a better understanding of the model, UQ techniques can detect out-of-distribution data and domain shifts when combining right-handed and left-handed writers (an underrepresented group).
Angle and distance measuring instruments (1997)

A number of visual optical instruments are designed to measure the angles between two distant objects or the distance of an object. The determination of the angle between two distant objects is frequently done in surveying. Using simple rules of trigonometry, the location of any point can be determined if the direction of two other points and the distances between any two pairs of points are known. The determination of the elevation of celestial objects combined with astronomical tables and an accurate clock can be used to determine a position on the earth's surface, for surveying and navigation.
Noninvasive detection of microaneurysms in diabetic retinopathy by swept-source optical coherence tomography (2016)

SS-OCT visualization of MAs could serve as a tool for diagnosing NPDR, and possibly applied as an imaging biomarker for population-based diabetic retinopathy screening.
Supplementary Video S10 from Mitosis-Mediated Intravasation in a Tissue-Engineered Tumor–Microvessel Platform (2023)

&lt;p&gt;Exposed tumor cell detaching into vessel flow following mitosis.&lt;/p&gt;
Design of a novel fuel cell-Fenton system: a smart approach to zero energy depollution (2016)

A model azo dye pollutant, Acid Orange 7 (AO7), was removed efficiently from an aqueous medium by a smart eco-friendly Fuel Cell-Fenton (FC-Fenton) system without any external power supply.
End-of-Year Summary [From the Editor] (2018)

Presents the introductory editorial for this issue of the publication.
A two-step model to optimise transcutaneous electrical stimulation of the human upper arm (2014)

Purpose – A novel model of the upper arm under transcutaneous electrical stimulation with multi-pad electrodes is presented and experimentally validated. The model aims at simulating and analysing the effects of surface electrical stimulation on biceps brachii. The paper aims to discuss these issues. Design/methodology/approach – Both the passive properties of tissues surrounding nerve bundles and the active characteristics of the nervous system are included. The output of the proposed model is nerve recruitment and muscle contraction. Findings – Simulations and experimental tests on six healthy young adults have been conducted and results show that the proposed model gives information on electrically elicited muscle contraction in accordance with in-vivo tests and literature on motor unit recruitment order. Tests with different electrodes configurations show that the spatial distribution of active electrodes is a critical factor in electrically elicited muscle contractions, and that multi-pad electrodes can optimise the stimulation effectiveness and patient comfort with sequences of biphasic pulses of 350 μ s at 30 pulses/s and threshold values of 2 mA. Originality/value – Results encourage the use of the proposed model of the upper arm as a valid and viable solution for predicting the behaviour of the neuromuscular system when surface electrical stimulation is applied, thus optimising the design of neuroprosthetics.
Impedance tube measurements of thermoviscous functions with a condensable working fluid (2003)

Theoretical work by Slaton et al. [J. Acoust. Soc. Am. 112, 1414–1422 (2002); 112, 1423–1430 (2002)] develops the linear theory for thermoacoustics when the working fluid has a component which undergoes condensation and evaporation on the stack during the acoustic cycle. In order to test these ideas an impedance tube is used to measure the acoustic impedance in a closed-end driver-pipe system which contains a sample stack. The impedance is measured on the driver side of the stack from pressure measurements of two closely spaced microphones. This may be compared to the impedance computed from a numerical integration from the closed end of the pipe through the stack, using the known or assumed values of the thermoviscous dissipation functions in the stack. Measurements and the theory for a variety of stack materials and working fluids will be presented.
PANDA (2022)

Distributed Stream Processing (DSP) systems highly rely on parallelism mechanisms to deliver high performance in terms of latency and throughput. Yet the development of such parallel systems altogether comes with numerous challenges. In this paper, we focus on how to select appropriate resources for parallel stream processing under the presence of highly dynamic and unseen workloads. We present PANDA that provides a novel learned approach for highly efficient and parallel DSP systems. The main idea is to provide accurate resource estimates and hence optimal parallelism degree using zero-shot cost models to ensure the performance demands.
Effect of cooling on the probe system sensitivity for low signal strength RFI problems (2013)

Only highly sensitive probe systems can detect the weak field strengths that cause radio-frequency-interference (RFI) problems typically found within cell phones. The sensitivity of the probe systems depends on the probe factor and on the noise floor. The effect of cooling by liquid nitrogen on the received signal strength and the noise floor of three resonant probe systems has been investigated. They operate at the GSM, GPS, and WiFi frequency bands. Cooling increases the Q-factor of these resonant probes, increases the received signal, and lowers the noise floor. The sensitivity of the system, defined as the signal strength at which the Signal-to-Noise Ratio is equal to 0 dB improves by 3-6 dB.
10‐4: A 13.3‐inch 8K x 4K 664‐ppi 120‐Hz 12‐bit Display with Super‐wide Color Gamut for the BT.2020 Standard (2017)

Newly developed light‐emitting materials and device structure achieved a highly efficient long‐lived white tandem OLED with saturated RGB spectra for a wider color gamut. By combining the OLED devices with a color filter and top emission structure, we successfully fabricated a full‐specification 8K AMOLED panel with the BT.2020 color gamut.