gebhart/patrepeval huggingface dataset:
The METIS 5G Architecture: A Summary of METIS Work on 5G Architectures (2015)

During the last two years, the METIS project ("Mobile and wireless communications Enablers for the Twenty-twenty Information Society") has been conducting research on 5G-enabling technology components. This paper provides a summary of METIS work on 5G architectures. The architecture description is presented from different viewpoints. First, a functional architecture is presented that may lay a foundation for development of first novel 5G network functions. It is based on functional decomposition of most relevant 5G technology components provided by METIS. The logical orchestration & control architecture depicts the realization of flexibility, scalability and service orientation needed to fulfil diverse 5G requirements. Finally, a third viewpoint reveals deployment aspects and function placement options for 5G.
System Architecture for 3GPP-LTE Modem using a Programmable Baseband Processor (2010)

The evolution of third generation mobile communications toward high-speed packet access and long-term evolution is ongoing and will substantially increase the throughput with higher spectral efficiency. This paper presents the system architecture of an LTE modem based on a programmable baseband processor. The architecture includes a baseband processor that handles processing time and frequency synchronization, IFFT/FFT (up to 2048-p), channel estimation and subcarrier de-mapping. The throughput and latency requirements of a Category four User Equipment (CAT4 UE) is met by adding a MIMO symbol detector and a parallel Turbo decoder supporting H-ARQ, which brings both low silicon cost and enough flexibility to support other wireless standards. The complexity demonstrated by the modem shows the practicality and advantage of using programmable baseband processors for a single-chip LTE solution.
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA (2021)

This paper presents an analysis on sensor management using a cost function based on a multi-target metric, in particular, the optimal subpattern-assignment (OSPA) metric, the unnormalised OSPA (UOSPA) metric and the generalised OSPA (GOSPA) metric (α = 2). We consider the problem of managing an array of sensors, where each sensor is able to observe a region of the surveillance area, not covered by other sensors, with a given sensing cost. We look at the case in which there are far-away, independent potential targets, at maximum one per sensor region. In this set-up, the optimal action using GOSPA is taken for each sensor independently, as we may expect. On the contrary, as a consequence of the spooky effect at a distance in optimal OSPA/UOSPA estimation, the optimal actions for different sensors using OSPA and UOSPA are entangled.
1X HP EUV reticle inspection with a 193nm inspection system (2018)

The current industry plan is for EUV Lithography (EUVL) to enter High Volume Manufacturing (HVM) in the 2019/20 timeframe for the 1X nm half-pitch (HP) node (logic and memory). Reticle quality and reticle defects continue to be a top industry risk. The primary reticle defect quality requirement continues to be “no reticle defects causing 10% or larger CD errors on wafer (CDE)”. In 2013, KLA-Tencor reported on inspection of EUV reticles using a 193nm wavelength inspection system1. The report included both die-to-database (db) and die-to-die (dd) inspection modes. Results showed the capability to detect a wide variety of programmed and native reticle defects judged to be critical. We have developed extensions to the 193nm wavelength (193) inspection system for the typical 2019/20 HVM EUV reticle defect requirements. These improvements include innovations in: defect enhancement methods, database modeling, defect detection, and throughput. In this paper, we report on the latest data and results of this work, focusing on EUV reticle dieto- database inspection. Inspection results are shown using typical next generation EUV programmed defect test reticles and typical full field product-like EUV reticles, all from industry sources. Results show significant defect detection improvements versus the prior generation inspection system. We also report the test results of a high throughput die-todatabase inspection mode that could be used for the typical mask shop outgoing inspection of EUV reticles where particles are the primary defect to be detected and there is no pellicle (or the pellicle transmits 193nm wavelength<sup>2</sup>).
Abstract 13959: SIRT1 Deacetylase Mediates Klotho Gene Deficiency-induced Arterial Remodeling and Stiffness (2016)

Objective: Arterial stiffness is an independent risk factor for stroke and myocardial infarction. This study was designed to investigate the potential role of SIRT1, an important deacetylase, and its relationship with Klotho, a kidney-derived aging-suppressor protein, in the pathogenesis of arterial stiffness and hypertension. Methods and Results: We found that the serum level of Klotho was decreased by nearly 45% in patients with arterial stiffness and hypertension. Interestingly, Klotho haplodeficiency caused arterial stiffening and hypertension, as evidenced by significant increases in pulse wave velocity (PWV) and blood pressure (BP) in Klotho-haplodeficient ( KL +/- ) mice. Notably, the expression and activity of SIRT1 were decreased significantly in aortic endothelial and smooth muscle cells in KL +/- mice, suggesting that Klotho deficiency downregulates SIRT1. Treatment with SRT1720 (15 mg/kg/day, IP), a specific SIRT1 activator, abolished Klotho deficiency-induced arterial stiffness and hypertension in KL +/- mice. Klotho deficiency was associated with significant decreases in activities of AMP-activated protein kinase alpha (AMPKα) and endothelial nitric oxide synthase (eNOS) in aortas, which were abolished by SRT1720. Furthermore, Klotho deficiency upregulated NADPH oxidase activity and superoxide production, increased collagen expression, and enhanced elastin fragmentation in the media of aortas. These Klotho deficiency-associated changes were blocked by SRT1720. Conclusion: This study provides the first evidence that Klotho deficiency downregulates SIRT1 activity in arterial endothelial and smooth muscle cells contributing to the pathogenesis of arterial remodeling and stiffening. Pharmacological activation of SIRT1 is likely to be an effective therapeutic approach for arterial stiffness and hypertension.
Biogenesis of Hydrogen Sulfide and Thioethers by Cystathionine Beta-Synthase (2017)

Our data clarify the function of CBS in H<sub>2</sub>S biogenesis and the role of thioethers as surrogate H<sub>2</sub>S markers. Antioxid. Redox Signal. 28, 311-323.
Abstract 2756: Whole-exome sequencing reveals a novel germline variant in CEBPA-associated familial acute myeloid leukemia: 45-year follow-up of a large family (2015)

Abstract Familial acute myeloid leukemia (AML) is rare and linked to germline mutations in RUNX1 or CCAAT/enhancer binding protein-α (CEBPA). We conducted whole-exome sequencing on a large family with AML originally evaluated at NIH in 1969 and uncovered a CEBPA Q311P mutation in all tested, affected members. The Q311P variant, located in the C-terminal bZip domain of CEBPA, was predicted to be highly deleterious by in silico algorithms; the Q311 position was highly conserved among CEBPA orthologs and paralogs. This variant has not been observed in the NHLBI's Exome Sequencing Project or the Broad Institute's Exome Aggregation Consortium. Protein structural modeling suggested that the Q311P mutation alters the ability of the CEBPA dimer to bind DNA. Electrophoretic mobility shift assays showed that the Q311P mutant had attenuated binding to DNA, as predicted by the protein modeling. Consistent with these findings, we found that the Q311P mutation has reduced transactivation of a promoter with a tetramer of CEBP sites, consistent with a loss-of-function mutation. In addition, there was decreased colony survival in fibroblasts with CEBPA Q311P, associated with the clinical radiosensitivity postulated in one carrier. From 45 years of follow-up, we observed incomplete penetrance (46%) of CEBPA Q311P; we did not observe other cancers or leukemias segregating with the mutation. Thus, we present a comprehensive clinical and molecular characterization of a novel AML-associated variant in CEBPA in a NCI family with nearly half a century of follow-up. This study reveals that a germline mutation in the C-terminal bZip domain can alter the ability of CEBPA to bind DNA and reduces transactivation, leading to AML, though with lower penetrance than the canonical N-terminal frameshift germline mutations. Citation Format: Anand Pathak, Katja Seipel, Alexander Pemov, Ramita Dewan, Christina Brown, Sarangan Ravichandran, Brian T. Luke, Meredith Yeager, Richard A. Gatti, Neil Caporaso, John J. Mulvihill, Lynn Goldin, Thomas Muller Pabst, Mary Lou McMaster, Douglas R. Stewart. Whole-exome sequencing reveals a novel germline variant in CEBPA-associated familial acute myeloid leukemia: 45-year follow-up of a large family. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2756. doi:10.1158/1538-7445.AM2015-2756
Efficient statistical analysis of large correlated multivariate\n datasets: a case study on brain connectivity matrices (2010)

In neuroimaging, a large number of correlated tests are routinely performed\nto detect active voxels in single-subject experiments or to detect regions that\ndiffer between individuals belonging to different groups. In order to bound the\nprobability of a false discovery of pair-wise differences, a Bonferroni or\nother correction for multiplicity is necessary. These corrections greatly\nreduce the power of the comparisons which means that small signals\n(differences) remain hidden and therefore have been more or less successful\ndepending on the application. We introduce a method that improves the power of\na family of correlated statistical tests by reducing their number in an orderly\nfashion using our a-priori understanding of the problem . The tests are grouped\nby blocks that respect the data structure and only one or a few tests per group\nare performed. For each block we construct an appropriate summary statistic\nthat characterizes a meaningful feature of the block. The comparisons are based\non these summary statistics by a block-wise approach. We contrast this method\nwith the one based on the individual measures in terms of power. Finally, we\napply the method to compare brain connectivity matrices. Although the method is\nused in this study on the particular case of imaging, the proposed strategy can\nbe applied to a large variety of problems that involves multiple comparisons\nwhen the tests can be grouped according to attributes that depend on the\nspecific problem. Keywords and phrases: Multiple comparisons ; Family-wise\nerror rate; False discovery rate; Bonferroni procedure; Human brain\nconnectivity; Brain connectivity matrices.\n
Cal X-1: an absolute in-orbit calibrator for current and future X-ray observatories (2019)

We describe Cal X-1, a SmallSat mission concept to establish X-ray standard candles in the sky, which will enable absolute calibration of the current and future X-ray observatories. It consists of two CubeSats flying in formation, one containing an absolutely calibrated X-ray source and another, 1-2 km away, a simple X-ray telescope.
ChemInform Abstract: Synthesis of Side‐Chain Modified Polypeptides (2016)

Abstract Review: 149 refs.
Sparse Bayesian Learning for EEG Source Localization (2015)

Purpose: Localizing the sources of electrical activity from electroencephalographic (EEG) data has gained considerable attention over the last few years. In this paper, we propose an innovative source localization method for EEG, based on Sparse Bayesian Learning (SBL). Methods: To better specify the sparsity profile and to ensure efficient source localization, the proposed approach considers grouping of the electrical current dipoles inside human brain. SBL is used to solve the localization problem in addition with imposed constraint that the electric current dipoles associated with the brain activity are isotropic. Results: Numerical experiments are conducted on a realistic head model that is obtained by segmentation of MRI images of the head and includes four major components, namely the scalp, the skull, the cerebrospinal fluid (CSF) and the brain, with appropriate relative conductivity values. The results demonstrate that the isotropy constraint significantly improves the performance of SBL. In a noiseless environment, the proposed method was 1 found to accurately (with accuracy of &gt;75%) locate up to 6 simultaneously active sources, whereas for SBL without the isotropy constraint, the accuracy of finding just 3 simultaneously active sources was &lt;75%. Conclusions: Compared to the state-of-the-art algorithms, the proposed method is potentially more consistent in specifying the sparsity profile of human brain activity and is able to produce better source localization for EEG.
A novel technology for objective, accurate and non-invasive early diagnosis and monitoring of Alzheimer’s disease in clinics and clinical trials (2019)

Abstract We have developed a novel medical image processing technology for objective, accurate, and non-invasive diagnosis, prognosis, and monitoring of Alzheimer’s disease using standard clinical brain MRI (magnetic resonance imaging) and basic clinical cognitive assessment. The technology is a robust, highly accurate, fully automated, high-throughput, cloud-based platform, which operates in a fully integrated and controlled environment. In diagnosis mode , our technology performs with 91% balanced accuracy on blind testing to diagnose the current neurocognitive status, and in prognosis mode or early detection at mild cognitive impairment (MCI) stage with 88% balanced accuracy on blind testing to predict progression from MCI to Alzheimer’s dementia (AD) within 5 years. Such prognostic capability is currently non-existent, even in specialty clinics and hospitals, a major factor in Alzheimer’s clinical trial failures. The algorithm’s diagnostic certainty precisely mirrors the diagnostic confidence of an expert cognitive neurologist for both MCI (Spearman’s Rho = 1) and AD (Rho = 1). In addition to widespread clinical applications, this novel technology can enable correct patient selection and therapeutic effect monitoring in clinical trials of Alzheimer’s disease, the crucial elements to finding a cure.
Enhancing security in the cognitive relay assisted co-existing radio systems with interferences (2013)

We consider the problem of secret communication through co-existing radio systems assisted by cognitive relay (CR). Assuming a cognitive radio setup in which secondary base station (SBS) is allowed to transmit simultaneously with the primary base station (PBS) over the same channel, at first, we investigate the impact of interferences on the receive diversity of cognitive interference channels and quantify the loss of receive diversity order as well as the secrecy rate due to interferences. Then, we propose a scheme to improve the secrecy rate of secondary receiver (SR) making use of interference energy that already exists in the communication medium employing selective precoding at the CR. In the proposed scheme, interference provides an additional source of energy that enhances secrecy rate at the SR without the need to increase the transmitted power. We also calculate the secrecy rate of primary receiver (PR) in order to focus the performance of proposed scheme in enhancing security of the cognitive interference channels. Our results show that exploiting free interference power, the performance of secondary downlink can be improved without affecting the performance of PR.
Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization (2021)

This paper presents a method of interest level estimation via multimodal Gaussian process latent variable factorization (mGPLVF). The proposed method estimates user interest levels for contents with high accuracy by using multi-modal features such as contents and users’ behavior. Generally, users’ behavior includes some noise, and it is difficult to prepare a large amount of data. For dealing with the problem, the proposed method newly derives mGPLVF calculating appropriate latent variables that do not overfit a small amount of training data including noise based on a probabilistic generative model. Furthermore, mGPLVF simultaneously performs not only construction of the robust latent space but also estimation of user interest levels via the latent variables based on an idea inspired by a factorization machine. The consistent framework of latent space construction and interest level estimation leads to the improvement of the final estimation accuracy. Experimental results show the effectiveness of the proposed method.
Supplementary Figures 1-4 from Erythropoietin Induces Lymph Node Lymphangiogenesis and Lymph Node Tumor Metastasis (2023)

Supplementary Figures 1-4 from Erythropoietin Induces Lymph Node Lymphangiogenesis and Lymph Node Tumor Metastasis
Laminated metal-polymeric materials in structural elements of aircraft (2017)

Design, manufacture, and test results are presented for laminated metal-polymeric hybrid fragments of a wing panel made of high-strength aluminum-lithium alloy V-1469T1 and of single-directed laminated aluminum fiberglass SIAL-1-1R. It is shown that the principle “material–technology–structure” can be implemented, and we demonstrate it by example of designing the fragment of a hybrid wing panel beginning from choosing the optimal structure material for the stringer and the structure of hybrid skin and finishing by testing large-sized structure-like samples. We show that the results of strength calculations for fragments of the hybrid wing panel demonstrate good convergence according to static and repeated static tests of panel fragment. Calculations are performed according to different methods, including the finite element method. We show that the hybrid structures are better than the traditional structures made of aluminum alloys according to weight efficiency, which can run up to 10%, and according to bearing capacity, which can run up to 20%.
Correction: DLA Class II Alleles Are Associated with Risk for Canine Symmetrical Lupoid Onychodystropy (SLO) (2010)

Symmetrical lupoid onychodystrophy (SLO) is an immune-mediated disease in dogs affecting the claws with a suggested autoimmune aethiology. Sequence-based genotyping of the polymorphic exon 2 from DLA-DRB1, -DQA1, and -DQB1 class II loci were performed in a total of 98 SLO Gordon setter cases and 98 healthy controls. A risk haplotype (DRB1*01801/ DQA1*00101/DQB1*00802) was present in 53% of cases and 34% of controls and conferred an elevated risk of developing SLO with an odds ratio (OR) of 2.1. When dogs homozygous for the risk haplotype were compared to all dogs not carrying the haplotype the OR was 5.4. However, a stronger protective haplotype (DRB1*02001/DQA1*00401/DQB1*01303, OR = 0.03, 1/OR = 33) was present in 16.8% of controls, but only in a single case (0.5%). The effect of the protective haplotype was clearly stronger than the risk haplotype, since 11.2% of the controls were heterozygous for the risk and protective haplotypes, whereas this combination was absent from cases. When the dogs with the protective haplotype were excluded, an OR of 2.5 was obtained when dogs homozygous for the risk haplotype were compared to those heterozygous for the risk haplotype, suggesting a co-dominant effect of the risk haplotype. In smaller sample sizes of the bearded collie and giant schnauzer breeds we found the same or similar haplotypes, sharing the same DQA1 allele, over-represented among the cases suggesting that the risk is associated primarily with DLA-DQ. We obtained conclusive results that DLA class II is significantly associated with risk of developing SLO in Gordon setters, thus supporting that SLO is an immune-mediated disease. Further studies of SLO in dogs may provide important insight into immune privilege of the nail apparatus and also knowledge about a number of inflammatory disorders of the nail apparatus like lichen planus, psoriasis, alopecia areata and onycholysis.
Comparative assessment of techniques and chanels used for information and education of consumers with food allergy and intolerance in Hungary (2005)

Effects of a Protein Optimized Diet Combined with Moderate Resistance Training on the Postoperative Course in Older Patients with Hip Fracture
Concepts and Terminology of Validation for Computational Solid Mechanics Models (2004)

&lt;div class="htmlview paragraph"&gt;During the past couple of years, a committee under the auspices of the ASME Codes and Standards division has been formed and are meeting regularly. The purpose of the committee is to develop and publish a set of documents that describe a common process for verification and validation of computational solid mechanics models. There are many issues under discussion and many concepts under debate. In this paper we will present some the major concepts and the differing viewpoints focusing on the concept of validation and relate this to the automotive industry in particular.&lt;/div&gt;
R-R interval variation in Parkinson's disease and multiple system atrophy (2004)

RRIV, either at rest or after deep breathing, may be abnormal both in PD and MSA, but does not distinguish between these disorders.
Extensions to RSVP-TE for LSP Egress Local Protection (2014)

This document describes extensions to Resource Reservation Protocol -
Traffic Engineering (RSVP-TE) for locally protecting the ingress node
of a Traffic Engineered (TE) Label Switched Path (LSP) in a Multi-
Protocol Label Switching (MPLS) and Generalized MPLS (GMPLS) network.
Supplementary Figure 1 from Targeting Protein Translation in Human Non–Small Cell Lung Cancer via Combined MEK and Mammalian Target of Rapamycin Suppression (2023)

Supplementary Figure 1 from Targeting Protein Translation in Human Non–Small Cell Lung Cancer via Combined MEK and Mammalian Target of Rapamycin Suppression
Meta-lens array for smart sensing (Conference Presentation) (2023)

Meta-lens is an emerging optical device which composed of artificial nanostructures can freely manipulate the phase and amplitude of light. Meta-lenses show excellent performance and novel applications to meet the optical demands. The fascinating advantages of meta-lenses are their new properties, lighter weight, small size, high efficiency, better performance, broadband operation, lower energy consumption, data volume reduction, and CMOS compatibility for mass production. We demonstrate an intelligent depth-sensing system prototype applicable for diverse scenes, a switchable stereo vision system that adopts a 60 × 60 achromatic meta-lens array to measure depth over a 30 cm range with the support of deep learning. This system combines a light field camera and a structured light system to adapt to all light levels. The design, application, and experimental verification of the intelligent depth-sensing meta-device are reported in this talk.
Report on the Radiological Society of North America 88th Scientific Assembly and Annual Meeting (2003)

This method would be useful for automated identification of the body parts in radiographs when various CAD systems would be implemented in the PACS environment.
Liquid crystal based beam deflectors (2016)

Devices consisting of micro grating structures combined with liquid crystals offer interesting applications as electrically tunable photonic devices for beam steering. Both linear and circular types are constructed using soft lithography and evaluated.