gebhart/patrepeval huggingface dataset:
Evaluation of the tetracycline promoter system for regulated gene expression in Kluyveromyces marxianus (2005)

A tetracycline repressible promoter system designed for Saccharomyces cerevisiae was evaluated for use in Kluyveromyces marxianus. A plasmid was constructed containing the Escherichia coli beta-glucuronidase (gus) gene cloned downstream of the yeast tet-off promoter, the tetR-VP16 activator protein gene, and the URA3 gene for selection. The tet-off promoter-gus construct was integrated into the chromosomal DNA and tested under varying growth conditions in complex medium. The repressors tetracycline and doxycycline were both found to be effective for inhibiting gene expression. Doxycycline levels of 0.5 microg/mL or greater were sufficient to nearly completely suppress Gus synthesis. For most transformants, the induction ratio was approximately 2,000-fold. The tet-off promoter was effective at 30, 37, and 42 degrees C, although the overall Gus activity was highest at 37 degrees C. During exponential growth, little product was formed; expression increased dramatically in late exponential and early stationary phase. The promoter thus shows promise for protein synthesis following cell growth. No inducer is required and the repressor is only needed to prevent expression during the seed culture.
Safeness of a robot arm using ultrasonic motors with high responsiveness and backdrivability (2014)

We propose a robot arm using ultrasonic motors and demonstrate its characteristics such as high responsiveness and backdrivability, which are important characteristics in the view of the safety. The high responsiveness allows the robots to avoid collision against any objects and backdrivability makes the robots have compliance to unexpected actions of people. In this paper, we clarify the responsiveness and backdrivability of the ultrasonic motors experimentally. For the demonstration, we build a prototype robot arm having three joints which are all directly coupled to the output axis of the ultrasonic motors. In the experiments, the robot showed the responsiveness less than a few milliseconds, torque control such as if torsion spring model, and the backdrivability as a free joint. We discuss the safety control strategy using these characteristics..
Natural language processing of implantable cardioverter-defibrillator reports in hypertrophic cardiomyopathy: A paradigm for longitudinal device follow-up (2021)

An automated NLP system can capture arrhythmia events and ICD therapies from unstructured device interrogation reports with high accuracy in HCM. These findings demonstrate the feasibility of an NLP paradigm for the extraction of data for clinical care and research from ICD reports embedded in the electronic health record.
ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models (2020)

A benchmark dedicated to RANS-informed analytical methods for the prediction of turbofan rotor–stator interaction broadband noise was organised within the framework of the European project TurboNoiseBB. The second part of this benchmark focuses on the impact of the acoustic models. Twelve different approaches implemented in seven different acoustic solvers are compared. Some of the methods resort to the acoustic analogy, while some use a direct approach bypassing the calculation of a source term. Due to differing application objectives, the studied methods vary in terms of complexity to represent the turbulence, to calculate the acoustic response of the stator and to model the boundary and flow conditions for the generation and propagation of the acoustic waves. This diversity of approaches constitutes the unique quality of this work. The overall agreement of the predicted sound power spectra is satisfactory. While the comparison between the models show significant deviations at low frequency, the power levels vary within an interval of ±3 dB at mid and high frequencies. The trends predicted by increasing the rotor speed are similar for almost all models. However, most predicted levels are some decibels lower than the experimental results. This comparison is not completely fair—particularly at low frequency—because of the presence of noise sources in the experimental results, which were not considered in the simulations.
Androgen receptors in human synoviocytes and androgen regulation of interleukin 1beta (IL-1beta) induced IL-6 production: a link between hypoandrogenicity and rheumatoid arthritis? (2002)

The identification of functional AR in synoviocytes and the modulatory effect of DHT on the inflammatory process in the joint suggest a direct link between hypoandrogenicity and rheumatoid arthritis (RA) disease status. Understanding the complex regulation of inflammatory cytokines by hormones may contribute to the development of new therapeutic targets for clinical intervention in RA.
Assessment of Citrate Concentrations in Citrus Fruit-Based Juices and Beverages: Implications for Management of Hypocitraturic Nephrolithiasis (2008)

According to 1H NMR, all of the tested "natural" citrus juices have high concentrations of citrate (38.3-67.4 mmol/L), with grapefruit juice having the highest concentration of the beverages chosen. Lemonade flavored Crystal Light had the highest concentration of citrate in the nonjuice category of tested beverages. In patients with mild to moderate hypocitraturia, dietary supplementation with citrus-based juices may be an effective alternative to medical management while not requiring large serving sizes. Further prospective studies are warranted to evaluate the clinical significance of these findings.
Composite polymer-coated mineral grafts for bone regeneration: material characterisation and model study (2014)

Introduction This study discusses composite polymer-coated mineral grafts for bone regeneration. Materials and Methods Bone xenografts are coated with degradable synthetic [poly(L-lactide-co-ε-caprolactone)] and natural (polysaccharides) polymers in order to increase their mechanical properties, on one side, and to improve cell adhesion, on the other, with the purpose of developing a novel composite material for bone tissue engineering. In vitro assays help examine the microstructure of the scaffold by Fourier transform infrared and environmental scanning electron microscopy analyses and the porosity of the material by micro-computed tomography. The good adhesion property of polymer coated on to the mineral scaffold is deeply analysed and proved. The in vitro polymer degradation, in terms of time evolution of polymer-coating thickness, was rationalised with a mathematical model. The purpose of such modelling activity is to provide a simple but powerful tool to understand the influence of design parameters on coating behaviour. Results The fabricated bone graft exhibited regular microstructure similar to healthy iliac bones with an average of 27% open porosity and an adequately rigid structure, which ensures a better osteointegration once implanted. Conclusion This approach avoids the use of trial-and-error methods and consents a better a priori material design.
The Consideration of the New-Zealand's Guideline of Assessment of Existing Steel Buildings (2006)

Note: CD ROM Reference IMAC-CONF-2006-039 Record created on 2007-08-14, modified on 2016-08-08
Implementation of 2-D DFT algorithms on a loosely-coupled parallel system (2003)

An implementation of the two-dimensional (2-D) discrete Fourier transform (DFT) on the Armstrong Multiprocessor System is presented. Armstrong is a loosely coupled parallel processing system made up of a large number of identical processing nodes and is currently operational. The system utilizes a reconfigurable point-to-point network for communication, thus allowing researchers to experiment with different communication topologies for a given application. The 2-D DFT implementation is discussed, and its performance is analyzed under variations in DFT size, network topology, and processing-node count.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
A Test Bench for Thermal Characterization of IGBT Power Modules over Mission Profiles (2018)

The thermal characterization of power electronics modules over realistic mission profiles is crucial for a reliability oriented stress evaluation of electric drives. Therefore, this paper presents safe laboratory environment methods to create and monitor normal as well as extreme thermal loadings of a power module that can occur during real operation. An electric load emulator test bench is introduced that applies realistic loads to an IGBT power module occurring for example during a mission profile of an electric vehicle. The resulting surface temperature distribution of a decapsulated power module is monitored using an infra-red (IR) camera and IR sensors. To improve this state-of-the-art thermal characterization, a thermal observer is presented. It enhances the limited bandwidth of the IR sensors and extracts additional information on the 3-D temperature distribution within the power module during operation. Furthermore, the observer is ideally suited to calibrate electro-thermal real time models, that are employed in a commercial system for open loop temperature monitoring. The methods that are presented in this work are experimentally evaluated based on a state-of-the-art inverter module for automotive applications.
Low‐level laser therapy for fat layer reduction: A comprehensive review (2013)

Although the present studies have demonstrated safety and efficacy of LLLT in fat layer reduction, studies demonstrating the efficacy of LLLT as a stand-alone procedure are still inadequate. Moreover, further studies are necessary to identify the mechanism of action.
Site-Specific Water and Nutrient Application by Wireless Valve Controller Network (2007)

Variations in plant water and nutrient demand and environmental regulations to protect water quality provide significant justification for development of site-specific irrigation/fertigation systems. But to be accepted by growers, a system must be easy to install and operate. We have developed wireless valve controllers that self-assemble into a mesh network. Mesh networking means that controllers pass messages to extend the effective communication range without using high power radios. We are currently designing a system using low-power wireless modules designed specifically for sensor networks. Solar energy is collected with a miniature panel to operate each controller node without yearly battery replacement. In lab testing, nodes properly responded to commands to open or close a latching valve. Transmission range using 900 MHz radios with dipole antennas varied from 32 m to 217 m depending on obstructions and antenna height above ground. Node current consumption during idle periods was about 180 A. Current consumption during radio transmission and receiving was about 15 mA. The solar panel produced 52 to 81 mA-h in full sun and 6 to 10 mA-h in shade. Soil moisture, pressure, temperature, and other environmental sensors will be used for feedback control and detection of problems. Such a network of intelligent valve controllers will allow growers in orchards, vineyards, nurseries, greenhouses, and landscapes to develop management practices that improve water and fertilizer use efficiency.
Resonant magnetic scattering with soft x-ray pulses from a free-electron laser operating at 1.59 nm (2009)

We report on a resonant magnetic scattering experiment using soft x-ray pulses generated from a free-electron laser (FEL). The free-electron laser was operated at a fundamental wavelength of 7.97 nm and radiation at the fifth harmonic originating from self-amplified stimulated emission at 1.59 nm with an average energy of 4 nJ per pulse was detected. We demonstrate the feasibility of resonant magnetic scattering at FEL sources by using a Co/Pd multilayer as prototype sample that was illuminated with 20-fs-long soft x-ray pulses tuned to the $\text{Co}\text{ }{L}_{3}$ absorption edge at 778.1 eV (1.59 nm).
Modeling of Energy Consumption and Streaming Video QoE using a Crowdsourcing Dataset (2022)

In the past decade, we have witnessed an enormous growth in the demand for online video services. Recent studies estimate that nowadays, more than 1% of the global greenhouse gas emissions can be attributed to the production and use of devices performing online video tasks. As such, research on the true power consumption of devices and their energy efficiency during video streaming is highly important for a sustainable use of this technology. At the same time, over-the-top providers strive to offer high-quality streaming experiences to satisfy user expectations. Here, energy consumption and QoE partly depend on the same system parameters. Hence, a joint view is needed for their evaluation. In this paper, we perform a first analysis of both end-user power efficiency and Quality of Experience of a video streaming service. We take a crowdsourced dataset comprising 447,000 streaming events from YouTube and estimate both the power consumption and perceived quality. The power consumption is modeled based on previous work which we extended towards predicting the power usage of different devices and codecs. The user-perceived QoE is estimated using a standardized model. Our results indicate that an intelligent choice of streaming parameters can optimize both the QoE and the power efficiency of the end user device. Further, the paper discusses limitations of the approach and identifies directions for future research.
Analysis of 5G LDPC Codes Rate-Matching Design (2018)

This paper analyzes the rate-matching algorithms for LDPC codes in 5G New Radio (NR) framework. Key features of NR LDPC rate-matching design includes flexible bit-selection based on circular buffer operation, enhanced decoding latency via code construction based on a single-parity-check extension from a high rate code, systematic bit puncturing, and support for limited buffer rate-matching (LBRM). IR-HARQ is supported via several redundancy versions (RVs) defined non-uniformly over the transmit circular buffer, enabling possibility of multiple self-decodable RVs. This paper, discusses NR LDPC structure, design, and its key features, followed by an in-depth investigation of IR-HARQ functionality, rate-matching, and (re-)transmissions via different RV ordering selections. Performance of single transmissions, as well as re-transmissions using different schemes are studied and evaluated using throughput and BLER metrics. This study attests the flexibility and robustness of NR LDPC design in addition to efficient support of IR-HARQ operation.
Blind Separation of Time/Position Varying Mixtures (2012)

We address the challenging open problem of blindly separating time/position varying mixtures, and attempt to separate the sources from such mixtures without having prior information about the sources or the mixing system. Unlike studies concerning instantaneous or convolutive mixtures, we assume that the mixing system (medium) is varying in time/position. Attempts to solve this problem have mostly utilized, so far, online algorithms based on tracking the mixing system by methods previously developed for the instantaneous or convolutive mixtures. In contrast with these attempts, we develop a unified approach in the form of staged sparse component analysis (SSCA). Accordingly, we assume that the sources are either sparse or can be "sparsified." In the first stage, we estimate the filters of the mixing system, based on the scatter plot of the sparse mixtures' data, using a proper clustering and curve/surface fitting. In the second stage, the mixing system is inverted, yielding the estimated sources. We use the SSCA approach for solving three types of mixtures: time/position varying instantaneous mixtures, single-path mixtures, and multipath mixtures. Real-life scenarios and simulated mixtures are used to demonstrate the performance of our approach.
Quantitative Analysis of Pectin in Drug Product by Size Exclusion Chromatography with Indirect Photometric Detection (2015)

A method for quantitative analysis of pectin in lozenges is reported. The separation was achieved using size exclusion chromatography. While pectin has no chromophore, to detect the separated pectins, an on-column derivatization with phenylboronic added as an additive in the mobile phase followed by indirect photometric detection was employed. The mobile phase, pH, and concentration of the additive were investigated to develop the optimal method with good linearity (R2 = 0.999). The method was applied to the determination of quantity of pectins in commercial lozenges.
RF Chain Reduction for MIMO Systems: A Hardware Prototype (2020)

Radio frequency (RF) chain circuits play a major role in digital receiver architectures, allowing passband communication signals to be processed in baseband. When operating at high frequencies, these circuits tend to be costly. This increased cost imposes a major limitation on future multiple-input-multiple-output (MIMO) communication technologies. A common approach to mitigate the increased cost is to utilize hybrid architectures, in which the received signal is combined in analog into a lower dimension, thus reducing the number of RF chains. In this article we study the design and hardware implementation of hybrid architectures via minimizing channel estimation error. We first derive the optimal solution for complex-gain combiners and propose an alternating optimization algorithm for phase-shifter combiners. We then present a hardware prototype implementing analog combining for RF chain reduction. The prototype consists of a specially designed configurable combining board as well as a dedicated experimental setup. Our hardware prototype allows us evaluating the effect of analog combining in MIMO systems using actual communication signals. The experimental study, which focuses on channel estimation accuracy in MIMO channels, demonstrates that using the proposed prototype, the achievable channel estimation performance is within a small gap in a statistical sense from that obtained using a costly receiver in which each antenna is connected to a dedicated RF chain.
Theoretical study of structures and energies of acetylene, ethylene, and vinyl radical and cation (1988)

A systematic study of the structures and energies of acetylene, ethylene, and vinyl radical and cation using high levels of ab initio molecular orbital theory, including correlation effects beyond fourth order perturbation theory, is presented. In agreement with previous theoretical studies, the present theory predicts that the bridged form of C2H+3 is more stable than the classical form with an energy difference of 3.1 kcal/mol (including zero point energies). The bond dissociation energy of C2H4,D0(C–H), is calculated to be 110.2 kcal/mol in agreement with the recent photoionization study of Berkowitz et al. and in significant disagreement with several previous experimental studies. Finally, triplet vinyl cation is studied for the first time and is calculated to be 54.5 kcal/mol higher in energy than the singlet ground state.
Abstract 2781: Champions TumorGraft™ models possess PIK3CA mutations - A great tool to explore the PI3K/AKT pathway. (2013)

Abstract Phosphatidylinositol 3-kinase (PI3K) is an important intracellular signal transducer that is involved in many cellular functions such as cell growth, proliferation, and differentiation. PI3K is a heterodimeric molecule composed of a regulatory and a catalytic subunit. PIK3CA, which encodes the p110α catalytic subunit, is often mutated in a range of human cancers, such as colorectal and non-small-cell lung cancers. Increasing our understanding of the biological implications of these mutations and the role of PI3K pathway in cancer proliferation or survival may lead to potential new therapeutic opportunities targeting PI3K signaling. Champions Oncology focuses on the development of TumorGraft models derived from the direct implantation of patient tumors into immunocompromised mice. Compared to traditional cell line-based xenograft models, the patient derived Champions TumorGraft™ models maintain stable gene-expression patterns and mutational status and correlate to clinical predictability. Through extensively characterization, Champions has identified 19 TumorGraft models with PIK3CA mutations. Out of these 19 models, there are 11 colorectal cancers, 3 non-small cell lung cancers, 3 pancreatic cancers, 1 gastric cancer and 1 melanoma. Genomics analyses using the Ampliseq platform identified the majority of PIK3CA mutations in exon 9 and 20. Mutations in these regions of PIK3CA are known to confer resistance to some anti-cancer agents, such as HER2 antibodies. Additionally, it has been reported that PIK3CA mutations frequently coexist with RAS and BRAF mutations in patients with advanced cancers. Upon further analysis, we identified the same pattern in Champions TumorGraft models where∼70% (13 out of 19) of the PIK3CA mutant models possess either concurrent RAS or BRAF mutations. Notably, PI3K activates the downstream kinase AKT which ultimately triggers the mTOR pathway. Mutations in cancer often result in constitutive activation of this pathway. Given the role of the PI3K/AKT signaling in cancer and the presence of these specific mutations in the Champions TumorGraft bank, utilization of Champions’ TumorGraft models in oncology drug development allows for greater insight into new therapeutic opportunities targeting the inhibition of PI3K/AKT signaling and offers new promise for patients with these activated pathways. Citation Format: Tin Oo Khor, Dhanrajan Tiruchinapalli, Jay Friedman, Nathan Anderson, David Sidransky, Elizabeth M. Bruckheimer. Champions TumorGraft™ models possess PIK3CA mutations - A great tool to explore the PI3K/AKT pathway. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2781. doi:10.1158/1538-7445.AM2013-2781
Performance tradeoffs in cache design (2003)

A series of simulations that explore the interactions between various organizational decisions and program execution time are presented. The tradeoffs between cache size and CPU/cache cycle-time, set associativity and cycle time, and block size and main-memory speed, are investigated. The results indicate that neither cycle time nor cache size dominates the other across the entire design space. For common implementation technologies, performance is maximized when the size is increased to the size is increased to the 32-kB to 128-kB range with modest penalties to the cycle time. If set associativity impacts the cycle time by more than a few nanoseconds, it increases overall execution time. Since the block size and memory-transfer rate combine to affect the cache miss penalty, the optimum block size is substantially smaller than that which minimizes the miss rate. The interdependence between optimal cache configuration and the main memory speed necessitates multilevel cache hierarchies for high-performance uniprocessors.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>