gebhart/patrepeval huggingface dataset:
What's different about atypical CML and chronic neutrophilic leukemia? (2015)

Atypical chronic myeloid leukemia (aCML) and chronic neutrophilic leukemia (CNL) are rare myeloid neoplasms defined largely by morphologic criteria. The discovery of CSF3R mutations in aCML and CNL have prompted a more comprehensive genetic profiling of these disorders. These studies have revealed aCML to be a genetically more heterogeneous disease than CNL, however, several groups have reported that SETBP1 and ASXL1 mutations occur at a high frequency and carry prognostic value in both diseases. We also report a novel finding-our study reveals a high frequency of U2AF1 mutations at codon Q157 associated with CSF3R mutant myeloid neoplasms. Collectively, these findings will refine the WHO diagnostic criteria of aCML and CNL and help us understand the genetic lesions and dysregulated signaling pathways contributing to disease development. Novel therapies that emerge from these genetic findings will need to be investigated in the setting of a clinical trial to determine the safety and efficacy of targeting various oncogenic drivers, such as JAK1/2 inhibition in CSF3R-T618I-positive aCML and CNL. In summary, recent advances in the genetic characterization of CNL and aCML are instrumental toward the development of new lines of therapy for these rare leukemias that lack an established standard of care and are historically associated with a poor prognosis.
Special Issue: Capillary Electrophoresis ‐ Mass Spectrometry 2006 (2006)

Abstract No abstracts.
Epidural Butorphanol Does Not Reduce Side Effects from Epidural Morphine After Cesarean Birth (1994)

In this prospective, double-blind, randomized study of women undergoing elective cesarean birth, the hypothesis that epidural butorphanol in various doses could effectively reduce or eliminate the side effects caused by epidural morphine was tested. Patients were randomly assigned to one of four groups. All received a standard epidural anesthetic and 20 min after delivery each received 3 mg epidural morphine with either 1 mg butorphanol (Group A), 2 mg butorphanol (Group B), 3 mg butorphanol (Group C), or 3 mL normal saline (Group D). Patient evaluations were made preoperatively and 2, 8, and 24 h after delivery. These consisted of visual analog scores for pain, satisfaction, nausea, itch, and somnolence. At each evaluation, a CO2 challenge test, using portable equipment, was performed. Data from 71 patients were analyzed and all four groups were comparable in terms of age, height, weight, level of sensory block, and volume of local anesthetic used. There were no significant differences among groups in terms of pain, satisfaction, nausea, or pruritus. Groups A, B, and C had significantly higher somnolence scores at 8 h compared to Group D (P < 0.001). There were no significant differences among groups in CO2 challenge test data at any point during the study, but overall a reduced sensitivity to CO2 after opioid administration was observed across all groups. There were no clinically significant incidents of respiratory depression. Epidural butorphanol, in doses of 1-3 mg, failed to reduce the side effects from 3 mg epidural morphine given after cesarean birth. Patients who received epidural butorphanol reported significantly higher levels of somnolence.
The impact of evaluation scenario development on the quantitative performance of speech translation systems prescribed by the SCORE framework (2009)

The Defense Advanced Research Projects Agency's (DARPA) Spoken Language Communication and Translation for Tactical Use (TRANSTAC) program is a focused advanced technology research and development program. The intent of this program is to demonstrate capabilities to quickly develop and implement free-form, two-way, speech-to-speech spoken language translation systems allowing speakers of different languages to communicate with each other in real-world tactical situations without the need for an interpreter. The National Institute of Standards and Technology (NIST), with support from the Mitre Corporation and Appen Pty Limited, has been funded by DARPA to evaluate the TRANSTAC technologies since 2006. The NIST-led Independent Evaluation Team (IET) has numerous responsibilities in this ongoing effort including collecting and processing training data, designing and implementing performance evaluations, and analyzing the test data. In order to design and execute fair and relevant evaluations, the NIST IET has employed the System, Component and Operationally-Relevant Evaluation (SCORE) framework. The SCORE framework is a unified set of criteria and tools built around the premise that, in order to gain an understanding of how a technology would perform in its intended environment, it must be evaluated at both the component and system levels and further tested in operationally-relevant environments while capturing both quantitative and qualitative performance data. Since an evaluation goal of the TRANSTAC program is to capture quantitative performance data of the translation technologies, the IET developed and implemented SCORE-inspired live evaluation scenarios. The two developed forms of live evaluation scenarios have unique impacts on the quantitative performance data. This paper presents the TRANSTAC program and SCORE methodology, as well as the evaluation scenarios and their influence on system performance.
Inorganic‐Organic Hybrid Anion Conducting Membranes Based on Ammonium‐Functionalized Polyethylene Pyrrole‐Polyethylene Ketone Copolymer (2022)

Back Cover: In article number 2100409 by Voto Di Novo and co-workers, the incorporation of tantalum oxide into trimethylammonium-functionalized polyethylene pyrrole-co-polyethylene ketone is carried out for the preparation of inorganic–organic hybrid anion exchange membranes, which are promising candidates for application in electrochemical energy conversion devices.
Elastic Properties of Erythrocyte's Membrane Measured by Atomic Force Stretching Method (1999)

Abstract We employed force-distance measurements, carried out by Atomic Force Microscopy (AFM), to explore the local elastic properties of the membrane-skeleton of human erythrocytes. To calculate the elastic constant of the membrane-skeleton we chose that part of the withdraw region in the force-distance curve which corresponds to the stretching of the membrane-skeleton complex. In order to achieve efficient stretching of the membrane we increased the adhesion of the tip to the membrane by polysine coating of the tip. Fig. 1 is presents the method of stretching AFM on which our measurements are based, and in Fig.2 one can see the theoretical model of the deformation of a circular plate with fixed boundaries by an external force (AFM probe ) used for recalculating the membrane's bending modulus from the experimental data. Since we obtained different detachment patterns of tip from the membrane, we set selection criteria for the choice of appropriate curves corresponding to membrane stretching.
In-vivo-Nachweis einer bakteriellen Dreiklappenendokarditis durch Echokardiographie (1979)

Modeling individual free electrons can be important in the simulation of discharge streamers. Stochastic fluctuations in the electron density can accelerate the branching of streamers. In negative streamers, energetic electrons can even 'run away' and contribute to processes such as terrestrial gamma-ray and electron flashes. To track energies and locations of single electrons in relevant regions, we have developed a 3D hybrid model that couples a particle model for single electrons in the region of high fields and low electron densities with a fluid model in the rest of the domain. Here we validate our 3D hybrid model on a 3D (super-)particle model for negative streamers without photoionization in overvolted gaps. We show that the extended fluid model approximates the particle and the hybrid model well until stochastic fluctuations become important, while the classical fluid model underestimates velocities and ionization densities. We compare density fluctuations and the onset of branching between the models, and we compare the front velocities with an analytical approximation.
Cancer Nanotechnology as emerging field of cancer research (2016)

The goal of nanotechnology is to use of nanopartcles in the field of science engineering and medicine for benefits of mankind. At present for diagnosis and treatment of some diseases, like cancer, face major limitations. So current aim of researcher is to use of nanoparticles or nanotechnology to treat cancer like disease. Cancer nanotechnology is emerging as a new field of interdisciplinary research, cut-ting across the disciplines of biology, chemistry, engineering, and medicine, and is expected to lead to major advances in cancer detection, diagnosis, and treatment. Nanoparticles used in diagnosis and treatment include semiconductor, quantum dots, iron oxide nanocrystals, nanoshells, nanosomes, have optical, magnetic or structural properties. When this nanoproperticles attached with the monoclonal antibodies or peptides, it can be used to target the tumor antigens with high specificity. With the help of bioaffinity nanoparticle probes, we can detect the cancer easily and earlier. How much nanotechnology is safe, no one can defined fully. But definitely, it will play a very important role in future treatment.
Unconstrained Pulse Transit Time Measurement System for Computer Users (2005)

Pulse Transit Time (PTT) is a simple non-invasive method to evaluate vascular function using photoplethysmography(PPG) and electrocardiography(ECG). This study introduces unconstrained PTT measurement method for computer users and evaluates that. The proposed system consists of chair and mouse those can measure ECG and PPG respectability. PTT was defined as time delay between ECG R peak and PPG steepest point. The correlation coefficient between PTT that measured from this system and conventional PTT was 0.93. This work will provide many opportunities for ubiquitous health monitoring.
Emission enhancement and orbital angular momentum engineering with Si-based nanopillar arrays (2012)

We engineer aperiodic nanostructures with circularly symmetric Fourier space for omnidirectional light extraction at 1.55 µm. We demonstrate that golden angle (GA) spiral arrays support azimuthally isotropic emission patterns carrying orbital angular momentum.
A new fractal-theory-based criterion for hydrologicalmodel calibration (2020)

Abstract. Fractality has been found in many areas and has been used to describe the internal features of time series. But is it possible to use fractal theory to improve the performance of hydrological models? This study aims to investigate the potential benefits of applying fractal theory in model calibration. A new criterion named ratio of fractal dimensions (RD) is defined as the ratio of fractal dimensions of simulated and observed streamflow series. To combine the advantages of fractal theory with classical criteria based on squared residuals, a multi-objective calibration strategy is designed. The selected classical criterion is Nash-Sutcliffe efficiency (E). The E-RD strategy is tested in three study cases with different climate and geography. The results of experiment reveal that, from most aspects, introducing RD into model calibration makes the simulation of streamflow components more reasonable. Besides, in calibration, only little decrease of E occurs when pursuing better RD. We therefore recommend choosing the best E among the parameter sets whose RD is around 1.
The single antenna interferometer (1991)

Air- and space-borne platforms using synthetic aperture radars (SAR) have made interferometric measurements by using either two physical antennas mounted on one air-frame or two passes of one antenna over a scene. A new interferometric technique using one pass of a single-antenna SAR system is proposed and demonstrated on data collected by the NASA-JPL AirSAR. Remotely sensed L-band microwave data are used to show the sensitivity of this technique to ocean surface features and provide a baseline for comparison with work by others using two-antenna systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Synchronization of Voice Data on Asynchronous Networks and its Implementation for a VSAT Channel Router (1997)

The variation of packet arrival time is one of the problems to be solved in realizing the real-time voice communication on asynchronous networks such as Internet. Although the variation can be absorbed by means of a receiving buffer, the end-to-end delay increases in proportion to the buffer size. Therefore, the guideline for the receiving buffer's design which considers the tradeoff between voice quality and delay is needed.In this paper, the design of the receiving buffer by using the voice speed conversion technique is discussed. The buffer size should be equivalent to the time length of about 95_??_99% of the probability distribution function of the packet arrival intervals. However, the synchronized voice reproducing can be achieved with the preset delay, which is shorter than the corresponding time to the buffer size, by controlling the rate of voice speed conversion within the range of 50%_??_150% depending on the variation of the intervals. The proposed buffer design was implemented in the conventional non-real-time UNIX workstations (WSs) connected to Ethernet and its performance was measured. The average voice delay between WSs for the authors' scenario is 150_??_180msec and the synchronization is achieved with the standard deviation of 13_??_25msec. The proposed method is applied to VSAT satellite channel routers to realize the real-time voice communication between the WSs via the VSAT channel.
1536-P: Parametric Survival Analysis of Complications from Type 1 Diabetes (2019)

Aim: To develop novel models of the risk of fatal and non-fatal complications for individuals with type 1 diabetes (T1D). Models used two 30 years’ follow-up studies: Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) and Epidemiology of Diabetes Complications (EDC). Method: Models were developed for: Microalbuminuria, Macroalbuminuria, End-Stage Renal Disease, Impaired Glomerular Filtration Rate, Non-proliferative Diabetic Retinopathy, Proliferative Diabetic Retinopathy, Clinically Significant Macular Edema, Ketoacidosis, Hypoglycemia, Ulcers, Diabetic Peripheral Neuropathy, Amputations, Cardiovascular (CVD) Major Adverse Cardiac Event (MACE), CVD non-MACE, Death after CVD MACE, Death after CVD non-MACE, and Death with no history of CVD. Each model considered 44 risk factors, including demographics, time-varying clinical measures, and other T1D complications. Bivariate associations, followed by stepwise regression, were used for variable selection. Interval-censored Weibull and Gompertz survival models were chosen for non-fatal and fatal complications, respectively. Final models combined optimal statistical prediction and expert knowledge for model interpretability. Results: All models included age, gender, diabetes duration, and HbA1C, with HbA1c significantly increasing the risk of most complications. Across all models, the highest predictor of a complication was history of another complication(s). Blood pressure (e.g., systolic, diastolic), pulse rate, and lipid variables (e.g., triglycerides, LDL, HDL, total cholesterol) were significantly predictive of most complications. Cumulative hazard plots comparing predicted and actual hazards indicated good accuracy of prediction for all models. Conclusion: Our risk equations highlight the importance of accounting for the time-varying nature of many risk factors and the impact that history of diabetes complications has on a different complication. Disclosure C. Barbosa: None. N. Mack: None. G. Bobashev: None. G.A. King: None. Y. Liu: None. R. Hilscher: None. S. Neuwahl: None. T.J. Hoerger: Research Support; Self; Sanofi. Funding Centers for Disease Control and Prevention
Microenvironments and Signaling Pathways Regulating Early Dissemination, Dormancy, and Metastasis (2015)

Abstract : We devoted effort to both aims, to optimize methods and publish the first phase of efforts. SA1 is to understand the intrinsic mechanisms of dissemination by early-progressed cancer cells and how the microenvironment in these primary sites named P-TMEM (Primary Tumor Microenvironment of Metastases) contribute to early dissemination. We now have new data suggesting that a signature of early dissemination markers consisting on HER2HI/p-ATF2LO/E-cadhLO could identify motile early-progressed tumor cells and predict for dissemination. We further show that mammary tissue macrophages and HER2HI/p-ATF2LO/E-cadhLO tumor cells cooperate to disseminate early.
Escherichia coli ST131: a multidrug-resistant clone primed for global domination (2017)

A single extra-intestinal pathogenic <i>Escherichia coli</i> (ExPEC) clone, named sequence type (ST) 131, is responsible for millions of global antimicrobial-resistant (AMR) infections annually. Population genetics indicate that ST131 consists of different clades (i.e. A, B, and C); however, clade C is the most dominant globally. A ST131 subclade, named C1-M27, is emerging in Japan and has been responsible for the recent increase in AMR ExPEC in that country. The sequential acquisition of several virulence and AMR genes associated with mobile genetic elements during the 1960s to 1980s primed clade C (and its subclades C1 and C2) for success in the 1990s to 2000s. IncF plasmids with F1:A2:B20 and F2:A1:B replicons have shaped the evolution of the C1 and C2 subclades. It is possible that ST131 is a host generalist with different accessory gene profiles. Compensatory mutations within the core genome of this clone have counterbalanced the fitness cost associated with IncF plasmids. ST131 clade C had dramatically changed the population structure of ExPEC, but it still remains unclear which features of this clade resulted in one of the most unprecedented AMR successes of the 2000s.
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement (2022)

Video compression is a central feature of the modern internet powering technologies from social media to video conferencing. While video compression continues to mature, for many compression settings, quality loss is still noticeable. These settings nevertheless have important applications to the efficient transmission of videos over bandwidth constrained or otherwise unstable connections. In this work, we develop a deep learning architecture capable of restoring detail to compressed videos which leverages the underlying structure and motion information embedded in the video bitstream. We show that this improves restoration accuracy compared to prior compression correction methods and is competitive when compared with recent deep-learning-based video compression methods on rate-distortion while achieving higher throughput. Furthermore, we condition our model on quantization data which is readily available in the bitstream. This allows our single model to handle a variety of different compression quality settings which required an ensemble of models in prior work.
Laser ionization mass spectroscopy (1989)

Laser Ionization Mass Spectroscopy (LIMS) is a simple technique with several advantages and disadvantages over standard mass spectroscopy techniques. The LIMS technique uses a laser to vaporize a small portion of a sample. The vapor from the sample consists of a mixture of charged and neutral atoms or fragments. Using electrostatic grids, the ions (positive or negative) are given a known amount of kinetic energy and sent down a time-of-flight tube. The time it takes the ions to travel down the flight tube is recorded. Knowing the ions' energy, the length of the flight tube, and the time it takes the ions to travel that distance, the masses of the ions can be calculated. The instrument we use is a LIMA 3 made by Cambridge Mass Spectrometry. It has a Quanta Ray DCR-11 Nd:YAG laser, which we frequency-quadruple to 266 nm. The laser spot size is typically between 2 and 5 microns in diameter and the pulse width is between 5 and 10 nanoseconds. The energy of the laser is continually variable between 0.1 and 3.0 millijoules. The detector is a 17-stage venetian-blind multiplier made by Thorn EMI. The analysis is carried out under vacuum, usually between 10{sup {minus}8} andmore » 10{sup {minus}9} Torr. The LIMA 3 has several useful features such as: a He-Ne pilot laser used to target the Nd:YAG laser; a microscope (which is used to view the sample through the laser optics); and a precision sample stage for accurate sample alignment. 6 figs., 1 tab.« less
Explaining the diversity of environmental performances according to a typology of farming practices combinations. The case of the dairy cattle breeding in Reunion Island (2006)

International audience
Highly efficient and compact DC-DC converter for ultra-fast charging of electric vehicles (2012)

The range of electric vehicles is still limited due to long charging times. With fast charging stations that enable to recharge a vehicle battery in a few minutes, the range limitation can be overcome in principle. For such fast charging stations, compact and efficient DC-DC converters with a high output power are required. Therefore, a multi-phase half-bridge DC-DC converter, which is part of an ultra fast charging station capable of charging a vehicle battery in less than 5 min, is presented in this paper. The ultra fast charging station utilises an intermediate storage battery, in order to avoid power pulsations at the grid and to provide additional functionality as e.g. energy storage for renewables. By splitting the intermediate storage battery, the voltage ratings of the semiconductor devices used in the high power DC-DC converter can be reduced, which increases the system efficiency. For further increasing the efficiency, a triangular current modulation (TCM) scheme is applied, which allows zero voltage switching (ZVS) for all semiconductor devices. To achieve a high power density as well as to implement ripple cancelation on the output current, several power electronic modules are parallel interleaved. A detailed analysis of the proposed system and simulation results are provided in this paper. Based on the above mentioned means the DC-DC converter achieves a system efficiency above 99.5% over a wide operating range.
Synthesis of brominated cardanol derivatives and their effeciency as fire retardants for wood (2014)

The synthesis of a fire retardant based on bromo derivatives of cardanol was examined and the composition, structure, and fire-protective efficiency of this retardant were studied.