gebhart/patrepeval huggingface dataset:
Prevalence of Surgical Flow Disruptions Across Intra-operative High- and Low-Workload Phases in Cardiac Surgery (2021)

While the influence of surgical flow disruptions (SFDs) on surgical performance has been observed in live cardiovascular surgery and their influence on cognitive workload has been evaluated in high-fidelity simulations, the relationship between SFDs and cognitive workload of surgical providers in the live cardiac surgery operating room has yet to be explored. Recent evidence suggests that preventable surgical errors often have a cognitive basis, warranting investigation into the association between SFDs and workload. This study aimed to characterize SFDs according to auditory and cognitive domains and further to compare the frequency and nature of SFDs within periods of high team cognitive workload and low team cognitive workload. Overall, the presence of cognitive distractions was associated more with high team cognitive workload states, while the frequency of auditory distractions was significantly higher during periods of low team cognitive workload states. Future work should consider the types, frequency, and sources of SFDs as well as their impact on surgical procedures and outcomes in order to devise appropriate methods to mitigate or manage potential disruptions to surgical workflow.
Zone-based data striping for cloud storage (2011)

Data centers in the “cloud” will need to support a wide range of applications, each with their own input/output (I/O) requirements. Some applications perform small and random I/O operations, whereas others demand high streaming bandwidth. In addition, in order to reduce costs, cloud data centers will contain thousands of commodity servers and network switches. Delivering high performance with unreliable commodity hardware for this range of workloads is a grand challenge. ZoneFS uses zone-based data striping in data center infrastructures built from commodity network switches. By striping data in zones, ZoneFS reduces network congestion and avoids one or more storage servers from becoming I/O bottlenecks. In this paper, we present the overall design and implementation of ZoneFS and evaluate its key features with several cloud-computing workloads.
Palladium-tin catalysts for the direct synthesis of H 2 O 2 with high selectivity (2016)

The direct synthesis of hydrogen peroxide (H2O2) from H2 and O2 represents a potentially atom-efficient alternative to the current industrial indirect process. We show that the addition of tin to palladium catalysts coupled with an appropriate heat treatment cycle switches off the sequential hydrogenation and decomposition reactions, enabling selectivities of >95% toward H2O2. This effect arises from a tin oxide surface layer that encapsulates small Pd-rich particles while leaving larger Pd-Sn alloy particles exposed. We show that this effect is a general feature for oxide-supported Pd catalysts containing an appropriate second metal oxide component, and we set out the design principles for producing high-selectivity Pd-based catalysts for direct H2O2 production that do not contain gold.
Introduction to the Special Issue on End-to-End Speech and Language Processing (2017)

The eleven papers in this special section focus on end-to-end speech and language processing (SLP) which is a series of sequence-to-sequence learning problems. Conventional SLP systems map input to output sequences through module-based architectures where each module is independently trained. These have a number of limitations including local optima, assumptions about intermediate models and features, and complex expert knowledge driven steps. It can be difficult for non-experts to use and develop new applications. Integrated End-to-End (E2E) systems aim to simplify the solution to these problems through a single network architecture to map an input sequence directly to the desired output sequence without the need for intermediate module representations. E2E models rely on flexible and powerful machine learning models such as recurrent neural networks. The emergence of models for end-to-end speech processing has lowered the barriers to entry into serious speech research. This special issue showcases the power of novel machine learning methods in end-to-end speech and language processing.
Symmetry, stability, and computation of degenerate lasing modes (2017)

We present a general method to obtain the stable lasing solutions for the steady-state ab initio lasing theory (SALT) for the case of a degenerate symmetric laser in two dimensions (2D). We find that under most regimes (with one pathological exception), the stable solutions are clockwise and counterclockwise circulating modes, generalizing previously known results of ring lasers to all 2D rotational symmetry groups. Our method uses a combination of semianalytical solutions close to lasing threshold and numerical solvers to track the lasing modes far above threshold. Near threshold, we find closed-form expressions for both circulating modes and other types of lasing solutions as well as for their linearized Maxwell-Bloch eigenvalues, providing a simple way to determine their stability without having to do a full nonlinear numerical calculation. Above threshold, we show that a key feature of the circulating mode is its ``chiral'' intensity pattern, which arises from spontaneous symmetry breaking of mirror symmetry, and whose symmetry group requires that the degeneracy persists even when nonlinear effects become important. Finally, we introduce a numerical technique to solve the degenerate SALT equations far above threshold even when spatial discretization artificially breaks the degeneracy.
Embedded mm-Wave Chiplet Based Module using Fused-Silica Stitch-Chip Technology: RF Characterization and Thermal Evaluation (2023)

A fused-silica stitch-chip technology for an embed-ded low noise amplifier (LNA) module is demonstrated for the first time. In this article, the package substrate and assembly are reported and RF/mm-wave characterization of the LNA module is performed. A <2.5 dB package loss is measured within the LNA bandwidth (24–40 GHz), translating to a <1.4 dB package interconnect loss. In addition, thermal simulations are implemented for the LNA module to investigate the thermal impact of critical package components when a high power-density chiplet is packaged. The stitch-chip technology features broadband low-loss interconnects and enables the scalability of chiplet-based integration; this represents a promising solution for future mm-wave multi-chiplet based modules.
Design of transverse electric ring isolators for ultra-low-loss Si_3N_4waveguides based on the finite element method (2011)

In this Letter we present the design of a novel (to our best knowledge) integrated TE isolator realized using ultra-low-loss Si(3)N(4) waveguides. The device is made of two straight waveguides coupled to an array of ring resonators including a Ce:YIG garnet grown on their internal side. The analysis demonstrates advantages in loss, isolation, and passband width as the number of rings is increased.
Amino Acid-Derived Heterocycles as Combinatorial Library Targets:  Bicyclic Aminal Lactones (2003)

The incorporation of alpha-amino acids into heterocyclic structures is an effective strategy for generating peptidomimetics and combinatorial library scaffolds. This report describes the synthesis of novel bicyclic aminal lactones 3 by base-catalyzed cyclization of N-(2-oxoalkyl)-dipeptide esters 8. Assembly of the acyclic precursor 8 can be carried out on solid phase, with variation at four positions; cyclative release ensures high product purity in the final step. Cyclization affords the exo isomer stereospecifically when one chiral center is present in the precursor, or when both amino acids have the same configuration.
Characterization of the ferrichrome A biosynthetic gene cluster in the homobasidiomyceteOmphalotus olearius (2005)

Under iron deprivation Omphalotus olearius was found to produce the hydroxamate siderophore ferrichrome A. A gene cluster consisting of three genes: fso1, a nonribosomal peptide synthetase whose expression is enhanced in the absence of iron; omo1, a l-ornithine-N(5)-monooxygenase; and ato1, an acyltransferase probably involved in the transfer of the methylglutaconyl residue to N(5)-hydroxyorinithine was identified. The fso1 sequence is interrupted by 48 introns and its derived protein sequence has a similar structure to the homologous genes of Ustilago maydis and Aspergillus nidulans. This is the first report of a nonribosomal peptide synthetase gene and a biosynthetic gene cluster in homobasidiomycetes.
Domestication Narratives (2013)

It is the aim of this chapter to explore the idea that Derrick’s work was ‘domesticated’ by American deconstruction, and to decide which articulations of a ‘domestication narrative’ can be defended and which cannot. It was usually assumed by narrators of the ‘domestication narrative’ that the relation of deconstruction in America to Derrida’s work was one of straightforward genealogical descent, and that deconstruction in America was bound by some obligation to remain faithful to its Derridean origins. Even if we were to accept this assumption and this obligation, it can be argued that the tellers of these stories, emphasizing as they did the loss of engagement with history in American deconstruction, never adequately explored Derrida’s position on historical explanation, or for that matter the positions of his American followers. If we follow the lead of those who have formulated the domestication argument and focus this problem on the relationship between Derrida and de Man, we can argue that when this exposition is performed, the question of history does not in fact provide a clear basis for distinguishing between Derrida and some domesticated discourse that derives from his work. The distinctly American preoccupation with the status of historical explanation produced strange, slightly distorted accounts of Derrida’s and de Man’s attitudes to history in the service of a domestication narrative.
Essentials of LTE and LTE-A (2011)

This practical, one-stop guide will quickly bring you up to speed on LTE and LTE-Advanced. With everything you need to know about the theory and technology behind the standards, this is a must-have for engineers and managers in the wireless industry. • First book of its kind describing technologies and system performance of LTE-A • Covers the evolution of digital wireless technology, basics of LTE and LTE-A, design of downlink and uplink channels, multi-antenna techniques and heterogeneous networks • Analyzes performance benefits over competing technologies, including WiMAX and 802.16m • Reflects the latest LTE Release-10 standards • Includes numerous examples, including extensive system and link results • Unique approach is accessible to technical and non-technical readers alike
Investigation of mineral phases of bone by solid-state phosphorus-31 magic-angle sample-spinning nuclear magnetic resonance (1984)

Phosphorus-31 magic angle sample spinning NMR spectra have been employed to investigate the structure and composition of the mineral deposits in chicken bone. Three different pulse sequences, Bloch decay, cross-polarization, and dipolar suppression, were employed to obtain spectra from bone specimens of varying age. These were compared to the spectra obtained from a variety of crystalline and noncrystalline synthetic calcium phosphate solids used as reference standards. The results suggest that the most suitable model for the major solid calcium phosphate mineral phase in bone is a hydroxyapatite containing approximately 5-10% CO32- and approximately 5-10% HPO42- groups, the latter in a brushite-like configuration. From the NMR line shapes it was deduced that the fraction of HPO42- groups was highest in the youngest bone and decreased progressively with increasing age of the specimen.
Hetero-expanded Purine Nucleosides. Design, Synthesis and Preliminary Biological Activity (2008)

Several thieno-expanded purine nucleoside analogues were synthesized for use as tools in ongoing investigations into nucleic acid structure and function in our laboratories. The inclusion of the thiophene ring system in the nucleoside endows the purine scaffold with advantages not previously available in other reported expanded purines. The synthesis and preliminary biological studies are reported herein.
Grid synchronization of power converters using multiple second order generalized integrators (2008)

This paper presents a new frequency-adaptive synchronization method for grid-connected power converters which allows estimating not only the positive- and negative-sequence components of the power signal at the fundamental frequency, but also other sequence components at higher frequencies. The proposed system is called the MSOGI-FLL since it is based on a decoupled network consisting of multiple second order generalized integrators (MSOGI) which are frequency-adaptive by using a frequency-locked loop (FLL). In this paper, the MSOGI-FLL is analyzed and its performance is evaluated by both simulations and experiments.
Optimizing the Deployment and Throughput of DBSs for Uplink Communications (2019)

Drone-mounted base stations (DBSs) are promising means to provide ubiquitous connections to users and support various emerging applications in mobile networks while full duplex communications has the potential to improve the spectrum efficiency. In this paper, we investigate the backhaul-aware uplink communications in a full-duplex DBS-aided HetNet (BUD) problem with the objective to maximize the total throughput of the network while minimizing the number of deployed DBSs. Since the BUD problem is NP-hard, it is then decomposed into three sub-problems: the joint UE association, power and bandwidth assignment (Joint-UPB) problem, the DBS placement problem (including the vertical and horizontal positions) and the problem of determining the number of DBSs to be deployed. We propose two approximation algorithms to solve the first two sub-problems and use the linear programming to solve the last sub-problem. Finally, another approximation algorithm, referred to as the AA-BUD algorithms, is proposed to solve the BUD problem with guaranteed performance based on the solutions of the three sub-problems. The performance of the AA-BUD algorithm has been demonstrated via extensive simulations, and is shown to be superior to two benchmark algorithms with up to 62% throughput improvement.
X-ray Spectral Estimation using Dictionary Learning (2023)

As computational tools for X-ray computed tomography (CT) become more quantitatively accurate, knowledge of the source-detector spectral response is critical for quantitative system-independent reconstruction and material characterization capabilities. Directly measuring the spectral response of a CT system is hard, which motivates spectral estimation using transmission data obtained from a collection of known homogeneous objects. However, the associated inverse problem is ill-conditioned, making accurate estimation of the spectrum challenging, particularly in the absence of a close initial guess. In this paper, we describe a dictionary-based spectral estimation method that yields accurate results without the need for any initial estimate of the spectral response. Our method utilizes a MAP estimation framework that combines a physics-based forward model along with an $L_0$ sparsity constraint and a simplex constraint on the dictionary coefficients. Our method uses a greedy support selection method and a new pair-wise iterated coordinate descent method to compute the above estimate. We demonstrate that our dictionary-based method outperforms a state-of-the-art method as shown in a cross-validation experiment on four real datasets collected at beamline 8.3.2 of the Advanced Light Source (ALS).
A Two-stage Universal Input Charger with Wide Output Voltage Range (2019)

This paper presents the design of a two-stage 50W portable charger architecture with universal ac input and 5V/25W, 9V/45W, 12V/50W output. A 98.5% efficient valley-switched boost converter operating at 0.5-2MHz enables a 47% reduction in the buffer capacitor volume while a stacked-bridge LLC converter with a Variable-Inverter-Rectifier-Transformer (VIRT) offers greater than 96% efficiency across the wide output voltage range. The design demonstrates the potential and trade-offs of a two-stage architecture at this operating power.
The Role of Thermal Initiation in Nitroxide Mediated Living Free Radical Polymerizations (1997)

Abstract The BPO initiated “living” polymerization of styrene in the presence of nitroxide is not consistent with the recently proposed steady-state mechanism, which requires constant nitroxide and polymer radical concentrations, and equal initiation and termination rates. It is shown that none of these conditions are met. The data is consistent with a polymerization rate that is dominated by nitroxide, not by the rates of thermal initiation and termination. Further, the use of agents that reduce thermal initiation shows that thermal initiation is not necessary to ensure that the polymerization proceeds, nor to ensure fast rates.
GRAINS: Generative Recursive Autoencoders for INdoor Scenes (2018)

We present a generative neural network which enables us to generate plausible 3D indoor scenes in large quantities and varieties, easily and highly efficiently. Our key observation is that indoor scene structures are inherently hierarchical. Hence, our network is not convolutional; it is a recursive neural network or RvNN. Using a dataset of annotated scene hierarchies, we train a variational recursive autoencoder, or RvNN-VAE, which performs scene object grouping during its encoding phase and scene generation during decoding. Specifically, a set of encoders are recursively applied to group 3D objects based on support, surround, and co-occurrence relations in a scene, encoding information about object spatial properties, semantics, and their relative positioning with respect to other objects in the hierarchy. By training a variational autoencoder (VAE), the resulting fixed-length codes roughly follow a Gaussian distribution. A novel 3D scene can be generated hierarchically by the decoder from a randomly sampled code from the learned distribution. We coin our method GRAINS, for Generative Recursive Autoencoders for INdoor Scenes. We demonstrate the capability of GRAINS to generate plausible and diverse 3D indoor scenes and compare with existing methods for 3D scene synthesis. We show applications of GRAINS including 3D scene modeling from 2D layouts, scene editing, and semantic scene segmentation via PointNet whose performance is boosted by the large quantity and variety of 3D scenes generated by our method.
Optimization of Quantum Read-Only Memory Circuits (2022)

Quantum computing is a rapidly expanding field with applications ranging from optimization all the way to complex machine learning tasks. Quantum memories, while lacking in practical quantum computers, have the potential to bring quantum advantage. In quantum machine learning applications for example, a quantum memory can simplify the data loading process and potentially accelerate the learning task. Quantum memory can also store intermediate quantum state of qubits that can be reused for computation. However, the depth, gate count and compilation time of quantum memories such as, Quantum Read Only Memory (QROM) scale exponentially with the number of address lines making them impractical in state-of-the-art Noisy Intermediate-Scale Quantum (NISQ) computers beyond 4-bit addresses. In this paper, we propose techniques such as, pre-decoding logic and qubit reset to reduce the depth and gate count of QROM circuits to target wider address ranges such as, 8-bits. The proposed approach reduces the number of gates and depth count by at least 2X compared to the naive implementation at only 36% qubit overhead. A reduction in circuit depth and gate count as high as 75X and compilation time by 85X at the cost of a maximum of 2.28X qubit overhead is observed. Experimentally, the fidelity with the proposed pre-decoding circuit compared to existing optimization approach is also higher (as much as 73% compared to 40.8%) under reduced error rates.
Control of African swine fever virus replication by small interfering RNA targeting the A151R and VP72 genes (2010)

The function of the A151R gene product in the virus replication cycle is yet unclear, but is essential. We also demonstrate that it is possible to inhibit, using small interfering RNA, a virus that replicates exclusively in the cell cytoplasm in specific viral factories.
Rationale and Design of the ‘MITOCARE’ Study: A Phase II, Multicenter, Randomized, Double-Blind, Placebo-Controlled Study to Assess the Safety and Efficacy of TRO40303 for the Reduction of Reperfusion Injury in Patients Undergoing Percutaneous Coronary Intervention for Acute Myocardial Infarction (2012)

Treatment of acute ST-elevation myocardial infarction (STEMI) by reperfusion using percutaneous coronary intervention (PCI) or thrombolysis has provided clinical benefits; however, it also induces considerable cell death. This process is called reperfusion injury. The continuing high rates of mortality and heart failure after acute myocardial infarction (AMI) emphasize the need for improved strategies to limit reperfusion injury and improve clinical outcomes. The objective of this study is to assess safety and efficacy of TRO40303 in limiting reperfusion injury in patients treated for STEMI. TRO40303 targets the mitochondrial permeability transition pore, a promising target for the prevention of reperfusion injury. This multicenter, double-blind study will randomize patients with STEMI to TRO40303 or placebo administered just before balloon inflation or thromboaspiration during PCI. The primary outcome measure will be reduction in infarct size (assessed as plasma creatine kinase and troponin I area under the curve over 3 days). The main secondary endpoint will be infarct size normalized to the myocardium at risk (expressed by the myocardial salvage index assessed by cardiac magnetic resonance). The study is being financed under an EU-FP7 grant and conducted under the auspices of the MITOCARE research consortium, which includes experts from clinical and basic research centers, as well as commercial enterprises, throughout Europe. Results from this study will contribute to a better understanding of the complex pathophysiology underlying myocardial injury after STEMI. The present paper describes the rationale, design and the methods of the trial.
Resolved Sideband Emission ofInAs/GaAsQuantum Dots Strained by Surface Acoustic Waves (2010)

The dynamic response of InAs/GaAs self-assembled quantum dots (QDs) to strain is studied experimentally by periodically modulating the QDs with a surface acoustic wave and measuring the QD fluorescence with photoluminescence and resonant spectroscopy. When the acoustic frequency is larger than the QD linewidth, we resolve phonon sidebands in the QD fluorescence spectrum. Using a resonant pump laser, we have demonstrated optical frequency conversion via the dynamically modulated QD, which is the physical mechanism underlying laser sideband cooling a nanomechanical resonator by means of an embedded QD.