gebhart/patrepeval huggingface dataset:
Recurrent vasovagal syncope following successful cardioneuroablation (2022)

Vasovagal syncope (VVS) is a common phenomenon, with upwards of 30%–45% of the population having suffered 1 VVS episode by the age of 60.1,2 It is a pathology that has frustrated many patients and providers in its suboptimal treatment response rate, and that has enacted an outsized economic impact on western societies.3 VVS subtypes are classified in 3 broad categories: a pure cardioinhibitory type (with and without asystole); a pure vasodepressor type, in which hypotension occurs without a significant decrease in heart rate (HR); and a mixed vasodepressor and cardioinhibitory type.
LPV control design for precision motion systems (2014)

Motion control for optical and manufacturing applications is becoming evermore demanding due to the constant drive to increase speed and precision. Linear system theory alone is often inadequate to meet the demanding requirements. Gain scheduling control design addresses system nonlinearity by using a family of linear time invariant (LTI) systems parameterized by the operating point. Instead of switching between local controllers, this paper proposes a method to construct a multi-input/multi-output (MIMO) controller with a Linear Parameter Varying (LPV) formulation around multiple operating points. The goal is to preserve good closed-loop performance in local linear neighborhood while tackling the nonlinear dynamics by suitably interpolating the local LTI controllers. The proposed approach is applied to the simulation and experiment of a two-degree-of-freedom fast steering mirrors. The system response matches well with the nonlinear system response in simulation for both small and large motion ranges. The closed-loop performance is further improved by input trajectory optimization for large-motion FSM steering, demonstrating the advantage of establishing such a global LPV controller.
Crystallographic and Chiroptical Studies on Tetraarylferrocenes for Use as Chiral Rotary Modules for Molecular Machines (2006)

A crystal structure of the racemic form of chiral molecular scissors 1 with a trans configuration at the azobenzene unit (rac-trans-1), in which the scissors adopt a closed geometry with two blade phenyl groups that overlap each other, was successfully determined. X-ray crystallographic determination of the structure of (1S,1'S)-10, which is a derivative of the key precursor of trans-1, was also successful. On the basis of the crystal structure of (1S,1'S)-10, the absolute configuration of 1 and related molecular machines, such as molecular pedal 2, and self-locking rotor 3, which all contain a chiral tetrasubstituted ferrocene module, were determined. A correlation between the absolute configuration and the circular dichroism properties of these molecular machines and their synthetic precursors was also determined.
The UCLA Histo-Genetic Risk Classification (U-HGRC) to predict outcomes of localized clear cell renal cell carcinoma. (2019)

627 Background: Thirty percent of patients with localized clear cell renal cell carcinoma (ccRCC) will ultimately develop recurrence (local or metastatic) after nephrectomy. Current risk stratification systems still misclassify patients. We have developed a novel classification integrating cytogenetic findings to better stratify the risk of recurrence and overall survival (OS) after surgery for localized ccRCC. Methods: A total of 646 patients from UCLA with ccRCC and tumor cytogenetic analysis, were included in this study. After a selection of histologic parameters using logistic regression and cytogenetic parameters using principal component analysis a CHAID decision tree and Kaplan Meier analysis were used to build the UCLA Histo-Genetic Risk Classification (U-HGRC). Survival analyses of the model were validated on two random samples of 323 patients. Recurrence was defined as any local recurrence or development of new metastasis after surgery. Results: The T-stage, tumor size, presence of sarcomatoid features, gain of chromosome 5q, loss 10q, or loss X/Y were used to stratify the risk of recurrence of ccRCC into three U-HGRC groups of low (1), intermediate (2) or high-risk (3). After a mean follow-up of 55 months, risk of recurrence (HR = 2.44, p = .001 for U-HGRC 2; HR = 9.90, p &lt; .0001 for U-HGRC 3), disease-free survival (DFS) (Log-rank p &lt; .0001), risk of death (HR = 1.72, p = .033 for U-HGRC 2; HR = 4.74, p &lt; .0001 for U-HGRC 3) and OS (Log-rank p &lt; .0001) were significantly different between groups. These findings were validated on two random samples. For high-risk group, median DFS and OS were 2.7 and 6.3 years, respectively. The 5-year risks of recurrence for U-HGRC group 1, 2 and 3 were 9%, 25% and 62%, respectively. The AUC of the model was significantly improved comparing to the current UISS system (0.72 for U-HGRC vs 0.65 for UISS, p = .008) with an accuracy of 82.8% for the U-HGRC high-risk group. Conclusions: The U-HGRC, which integrates genomic alterations with clinical and pathologic features, allowed a better stratification of recurrence risk and overall survival that could help to select appropriate patients for surveillance and adjuvant therapy protocols.
Large Engine Technology Program. Task 22: Variable Geometry Concepts for Rich-Quench-Lean Combustors (2005)

The objective of the task reported herein was to define, evaluate, and optimize variable geometry concepts suitable for use with a Rich-Quench-Lean (RQL) combustor. The specific intent was to identify approaches that would satisfy High Speed Civil Transport (HSCT) cycle operational requirements with regard to fuel-air ratio turndown capability, ignition, and stability margin without compromising the stringent emissions, performance, and reliability goals that this combustor would have to achieve. Four potential configurations were identified and three of these were refined and tested in a high-pressure modular RQL combustor rig. The tools used in the evolution of these concepts included models built with rapid fabrication techniques that were tested for airflow characteristics to confirm sizing and airflow management capability, spray patternation, and atomization characterization tests of these models and studies that were supported by Computational Fluid Dynamics analyses. Combustion tests were performed with each of the concepts at supersonic cruise conditions and at other critical conditions in the flight envelope, including the transition points of the variable geometry system, to identify performance, emissions, and operability impacts. Based upon the cold flow characterization, emissions results, acoustic behavior observed during the tests and consideration of mechanical, reliability, and implementation issues, the tri-swirler configuration was selected as the best variable geometry concept for incorporation in the RQL combustor evolution efforts for the HSCT.
Transient PP2A inhibition alleviates normal tissue stem cell susceptibility to cell death during radiotherapy (2018)

Unintended outcomes of cancer therapy include ionizing radiation (IR)-induced stem cell depletion, diminished regenerative capacity, and accelerated aging. Stem cells exhibit attenuated DNA damage response (DDR) and are hypersensitive to IR, as compared to differentiated non-stem cells. We performed genomic discovery research to compare stem cells to differentiated cells, which revealed Phosphoprotein phosphatase 2A (PP2A) as a potential contributor to susceptibility in stem cells. PP2A dephosphorylates pATM, γH2AX, pAkt etc. and is believed to play dual role in regulating DDR and apoptosis. Although studied widely in cancer cells, the role of PP2A in normal stem cell radiosensitivity is unknown. Here we demonstrate that constitutively high expression and radiation induction of PP2A in stem cells plays a role in promoting susceptibility to irradiation. Transient inhibition of PP2A markedly restores DNA repair, inhibits apoptosis, and enhances survival of stem cells, without affecting differentiated non-stem and cancer cells. PP2Ai-mediated stem cell radioprotection was demonstrated in murine embryonic, adult neural, intestinal, and hematopoietic stem cells.
Detection and identification of a single DNA base molecule using surface-enhanced Raman scattering (SERS) (1998)

Nonresonant Raman cross sections of $\ensuremath{\sim}{10}^{\ensuremath{-}16} {\mathrm{cm}}^{2}$ per molecule are shown to be related to surface-enhanced Raman scattering (SERS) on colloidal silver clusters at near-infrared (NIR) excitation. The enhancement is found to be independent of cluster sizes between 100 nm and 20 \ensuremath{\mu}m. These experimental findings demonstrate that NIR SERS on colloidal silver clusters is an excellent technique for single molecule detection that is applicable for a broad range of molecules including ``colorless'' biomolecules, for example nucleotides in DNA sequencing. As an example, we present the detection of a single adenine molecule without any labeling based on its intrinsic surface-enhanced Raman scattering.
Monoamine oxidase B catalysis in low aqueous medium. Direct evidence for an imine product (1995)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMonoamine oxidase B catalysis in low aqueous medium. Direct evidence for an imine productJonathan C. G. Woo and Richard B. SilvermanCite this: J. Am. Chem. Soc. 1995, 117, 5, 1663–1664Publication Date (Print):February 1, 1995Publication History Published online1 May 2002Published inissue 1 February 1995https://pubs.acs.org/doi/10.1021/ja00110a033https://doi.org/10.1021/ja00110a033research-articleACS PublicationsRequest reuse permissionsArticle Views96Altmetric-Citations19LEARN 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 InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (2)»Supporting Information Supporting Information Get e-Alerts
Chondral Rib Fractures in Professional American Football (2016)

Chondral rib injuries are common among NFL football players, while there is no literature to support proper diagnosis and treatment of these injuries or expected duration of recovery. These injuries are likely common in other contact sports and levels of competition as well. Our series combined with NFL team physician survey results can aid team physicians in identifying these injuries, obtaining useful imaging, and counseling players and coaches and the expected time of recovery.
A new wave of CMOS power amplifier innovations: Fusing digital and analog techniques with large signal RF operations (2014)

The RF power amplifier (PA) is typically the most power hungry and area consuming block in a wireless transceiver system. A viable RF PA solution should offer competitive power and area efficiency while maintaining high-performance large-signal RF operations. Fully integrated RF PA in CMOS has been an area of active research and development over the past years. Recently, there has been a surge of interest to leverage the mixed-mode, analog and digital, computational and signal processing capability in CMOS to radically enhance RF CMOS PA solutions and offer unique functionalities in parallel. This paper reviews several recently reported circuit design techniques of CMOS PAs. All of these techniques take advantage of computation and integration advantages of CMOS process and can potentially lead to competitive PA solutions compared to traditional III-V HBT PA solutions.
LSTM Acoustic Models Learn to Align and Pronounce with Graphemes (2020)

Automated speech recognition coverage of the world's languages continues to expand. However, standard phoneme based systems require handcrafted lexicons that are difficult and expensive to obtain. To address this problem, we propose a training methodology for a grapheme-based speech recognizer that can be trained in a purely data-driven fashion. Built with LSTM networks and trained with the cross-entropy loss, the grapheme-output acoustic models we study are also extremely practical for real-world applications as they can be decoded with conventional ASR stack components such as language models and FST decoders, and produce good quality audio-to-grapheme alignments that are useful in many speech applications. We show that the grapheme models are competitive in WER with their phoneme-output counterparts when trained on large datasets, with the advantage that grapheme models do not require explicit linguistic knowledge as an input. We further compare the alignments generated by the phoneme and grapheme models to demonstrate the quality of the pronunciations learnt by them using four Indian languages that vary linguistically in spoken and written forms.
Supplementary Data from Activation of <i>Notch</i> and <i>Myc</i> Signaling via B-cell–Restricted Depletion of <i>Dnmt3a</i> Generates a Consistent Murine Model of Chronic Lymphocytic Leukemia (2023)

&lt;p&gt;Supplementary Materials and Methods and Supplementary Figures S1-4&lt;/p&gt;
New method of quantification of amino acids and peptides in LC/LIF/MS (2006)

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Autosomal Dominant Stargardt-like Macular Dystrophy (2001)

The disease-associated haplotype allows for more accurate genetic counseling to be given to individuals with a Stargardt-like phenotype inherited in an autosomal dominant pattern.
Increased Open‐Circuit Voltage of Organic Solar Cells by Reduced Donor‐Acceptor Interface Area (2014)

The charge carrier lifetime in small molecule: C60 photovoltaic devices is increased by reducing the physical interface area availabe for recombination. For donor contents below 10%, the gain in open-circuit voltage (Voc) depends logarithmically on the interface area while the energy of the interfacial charge-transfer state ECT remains invariant.
Amanuensis: provenance, privacy, and permission in TEE-enabled blockchain data systems (2022)

Blockchain technology is heralded for its ability to provide transparent and immutable audit trails for data shared among semi-trusted parties. With the addition of smart contracts, blockchains can track and verify arbitrary computations – which enables blockchain users to verify the provenance of information derived from data through the blockchain. This provenance comes at the cost of data confidentiality and user privacy, however, which is unacceptable for many sensitive applications. The need for verifiable yet confidential data sharing and computation has led some to add trusted execution environment (TEE) hardware to blockchain platforms. By moving sensitive operations (e.g., data decryption and analysis) off of the blockchain and into a TEE, they get both the confidentiality of TEEs and the transparency of blockchains without the need to completely trust any one party in the data-sharing ecosystem.In this paper, we build on our TEE-enabled blockchain data-sharing system, Amanuensis, to ensure the freshness of access-control lists shared between the blockchain and TEE, and to improve the privacy of users interacting within the system. We also detail how TEE-based remote attestation help us to achieve information provenance – specifically, how to achieve information provenance in the context of the Intel SGX trusted execution environment. Finally, we present an evaluation of our system, in which we test several real-world machine-learning applications (logistic regression, kNN, SVM) to determine the run-time overhead of information confidentiality and provenance. Each machine-learning program exhibited a slowdown between 1.1 and 2.8x when run inside of our confidential environment, and took an average of 59 milliseconds to verify the provenance of an input data set.
Prostatic Fibrosis is Associated with Lower Urinary Tract Symptoms (2012)

Findings show that extracellular matrix deposition and fibrosis characterize the periurethral prostate tissue of some men with lower urinary tract symptoms. They point to fibrosis as a factor contributing to lower urinary tract symptom etiology.
Contribution of cerebrospinal fluid sCD19 levels to the detection of CNS lymphoma and its impact on disease outcome (2014)

Flow cytometry (FCM) is more sensitive than conventional cytology for detection of occult leptomeningeal lymphoma; however, some FCM-negative patients show central nervous system (CNS) recurrence. Here, we evaluated the cerebrospinal fluid (CSF) levels of 13 B-cell-associated markers and their contribution to the diagnosis of CNS lymphoma in 91 diffuse large B-cell lymphomas (DLBCL) and 22 Burkitt lymphomas (BLs). From all markers tested, CD19 was the most informative. Thus, higher soluble CD19 (sCD19) levels were associated with a greater frequency of neurological symptoms in DLBCL and BL and with parenchymal CNS lymphoma in DLBCL; sCD19 emerged as a powerful predictor of event-free and overall survival in DLBCL and BL, particularly when combined with FCM detection of CNS disease. These results support the utility of combined FCM detection of lymphoma cells and assessment of sCD19 levels in CSF, for more accurate identification of CNS disease in DLBCL and BL patients.
Community-led comparative genomic and phenotypic analysis of the aquaculture pathogen Pseudomonas baetica a390T sequenced by Ion semiconductor and Nanopore technologies (2018)

Pseudomonas baetica strain a390T is the type strain of this recently described species and here we present its high-contiguity draft genome. To celebrate the 16th International Conference on Pseudomonas, the genome of P. baetica strain a390T was sequenced using a unique combination of Ion Torrent semiconductor and Oxford Nanopore methods as part of a collaborative community-led project. The use of high-quality Ion Torrent sequences with long Nanopore reads gave rapid, high-contiguity and -quality, 16-contig genome sequence. Whole genome phylogenetic analysis places P. baetica within the P. koreensis clade of the P. fluorescens group. Comparison of the main genomic features of P. baetica with a variety of other Pseudomonas spp. suggests that it is a highly adaptable organism, typical of the genus. This strain was originally isolated from the liver of a diseased wedge sole fish, and genotypic and phenotypic analyses show that it is tolerant to osmotic stress and to oxytetracycline.
Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human brain neuronal structure and hemodynamic properties (2022)

The purpose of the current study was to introduce a Deep learning-based Accelerated and Noise-Suppressed Estimation (DANSE) method for reconstructing quantitative maps of biological tissue cellular-specific, R2t*, and hemodynamic-specific, R2', metrics of quantitative gradient-recalled echo (qGRE) MRI. The DANSE method adapts a supervised learning paradigm to train a convolutional neural network for robust estimation of R2t* and R2' maps with significantly reduced sensitivity to noise and the adverse effects of macroscopic (B<sub>0</sub> ) magnetic field inhomogeneities directly from the gradient-recalled echo (GRE) magnitude images. The R2t* and R2' maps for training were generated by means of a voxel-by-voxel fitting of a previously developed biophysical quantitative qGRE model accounting for tissue, hemodynamic, and B<sub>0</sub> -inhomogeneities contributions to multigradient-echo GRE signal using a nonlinear least squares (NLLS) algorithm. We show that the DANSE model efficiently estimates the aforementioned qGRE maps and preserves all the features of the NLLS approach with significant improvements including noise suppression and computation speed (from many hours to seconds). The noise-suppression feature of DANSE is especially prominent for data with low signal-to-noise ratio (SNR ~ 50-100), where DANSE-generated R2t* and R2' maps had up to three times smaller errors than that of the NLLS method. The DANSE method enables fast reconstruction of qGRE maps with significantly reduced sensitivity to noise and magnetic field inhomogeneities. The DANSE method does not require any information about field inhomogeneities during application. It exploits spatial and gradient echo time-dependent patterns in the GRE data and previously gained knowledge from the biophysical model, thus producing high quality qGRE maps, even in environments with high noise levels. These features along with fast computational speed can lead to broad qGRE clinical and research applications.
S0505-3-1 Outdoor Noise Test of a Tubojet Engine (2009)

Outdoor noise tests using a turbojet engine have been carried out in JAXA to evaluate the prospective noise reduction devices or methods. This paper describes the engine test result on a variable nozzle and a notch nozzle. The variable nozzle, adjusting its exhaust cross-section, brings about lower mean flow velocity and lower mixing noise. The notch nozzle, due to its tiny dips along its exhaust edge, is expected to reduce noise with lower thrust loss. In addition to these nozzles, a preliminary test of water injection is briefly mentioned.
Knowledge discovery and data mining for enhanced sustainability of physical ecosystems (2009)

In this paper, we propose a methodology for real-time characterization of the operational state of a subsystem, device or process in an ecosystem, with the goal of improving its sustainability. The objective is to re-describe the operational state, identified by a set of relevant sensor measurements and other parameters, in terms of known operational patterns. Each pattern is also associated with an operational efficiency attribute, which can incorporate a number of criteria, such asTCO (total cost of ownership), and sustainability metrics such as exergy, power consumption and carbon footprint. This attribute quantifies the desirability of operating the system in that state. The aim is to monitor these patterns and determine if it is possible to transform the current operational state to another more efficient pattern. Domain knowledge required to move from one pattern to another, where feasible, can be encoded into actionable rules.