gebhart/patrepeval huggingface dataset:
Recombinant human erythropoietin treatment in chronic renalfailure: Effects on hemostasis and vasculature (2000)

The use of recombinant human erythropoietin (rhuEPO) for the treatment of renal anemia improves the altered primary hemostasis frequently observed in uremia, through both an increase in hematocrit (rheological effect) and an improvement in uremic platelet function. Although the in vitro vascular effects of rhuEPO are complex and may cause hypertensive and thrombotic complications in patients with end-stage renal disease, in vivo and clinical studies have not confirmed these findings. Therefore, the long-term effects of anemia correction with rhuEPO treatment on endothelial and vascular function in uremic patients merits further investigation.
Optical properties of the mouse eye (2011)

The Shack-Hartmann wavefront sensor (SHWS) spots upon which ocular aberration measurements depend have poor quality in mice due to light reflected from multiple retinal layers. We have designed and implemented a SHWS that can favor light from a specific retinal layer and measured monochromatic aberrations in 20 eyes from 10 anesthetized C57BL/6J mice. Using this instrument, we show that mice are myopic, not hyperopic as is frequently reported. We have also measured longitudinal chromatic aberration (LCA) of the mouse eye and found that it follows predictions of the water-filled schematic mouse eye. Results indicate that the optical quality of the mouse eye assessed by measurement of its aberrations is remarkably good, better for retinal imaging than the human eye. The dilated mouse eye has a much larger numerical aperture (NA) than that of the dilated human eye (0.5 NA vs. 0.2 NA), but it has a similar amount of root mean square (RMS) higher order aberrations compared to the dilated human eye. These measurements predict that adaptive optics based on this method of wavefront sensing will provide improvements in retinal image quality and potentially two times higher lateral resolution than that in the human eye.
Long-Term Metabolic and Hormonal Effects of Exenatide on Islet Transplant Recipients with Allograft Dysfunction (2009)

The initial success of islet transplantation (ITx) is followed by graft dysfunction (GDF) and insulin reintroduction. Exenatide, a GLP-1 agonist, increases insulin and decreases glucagon secretion and has potential for beta-cell regeneration. To improve functional islet mass, exenatide treatment was given to ITx recipients with GDF. The objective of this study was to assess metabolic and hormonal effects of exenatide in GDF. In this prospective, single-arm, nonrandomized study, 11 type 1 diabetes recipients of ITx with GDF had HbA1c, weight, insulin requirements, and 5-h mixed meal tolerance test (MMTT; with/without exenatide given before test) at baseline, 3, 6, and 12 months after initiating exenatide treatment. Baseline MMTT showed postprandial hyperglycemia and hyperglucagonemia. Daily exenatide treatment resulted in improved glucose, increased amylin/insulin ratio, and decreased proinsulin/insulin ratio as assessed by MMTT. Glucagon responses remained unchanged. Exenatide administration 1 h before MMTT showed decreased glucagon and glucose at 0 min and attenuation in their postprandial rise. Time-to-peak glucose was delayed, followed by insulin, proinsulin, amylin, and C-peptide, indicating glucose-driven insulin secretion. Five subjects completed 12-month follow-up. Glucose and glucagon suppression responses after MMTT with exenatide were no longer observed. Retrospective 3-month analysis of these subjects revealed higher and sustained glucagon levels that did not suppress as profoundly with exenatide administration, associated with higher glucose levels and increased C-peptide responses. In conclusion, Exenatide suppresses the abnormal postprandial hyperglucagonemia and hyperglycemia observed in GDF. Changes in amylin and proinsulin secretion may reflect more efficient insulin processing. Different degrees of responsiveness to exenatide were identified. These may help guide the clinical management of ITx recipients.
Clinical analysis of diagnosis and management of phyllodes tumors of breast (2012)

Objective To investigate the diagnosis and management of phyllodes tumors of breast.Methods 42 patients with hyllodes tumors of breast were gathered and analysed.Results 25 cases(59.52%) of benign tumor,11 cases(26.19%) of borderline tumor and 6 cases(14.29%) of malignant tumor.The local recurrenence rate is 11 in wide-local-excision-group and 1 in total-breast-excision-group.Conclusion Phyllodes tumors of breast can be classified as three types,and all of the types have the risk of recurrence and metastasis.Surgical operation is the first choice for treatment of this disease.
RNA interference-mediated c-MYC inhibition prevents cell growth and decreases sensitivity to radio- and chemotherapy in childhood medulloblastoma cells (2009)

In human MB cells, in addition to its roles in growth and proliferation, c-MYC is also a potent inducer of apoptosis. Therefore, targeting c-MYC might be of therapeutic benefit when used sequentially with chemo- and radiotherapy rather than concomitantly.
Reservoirs of HIV-1 in vivo: implications for antiretroviral therapy. (2003)

The eradication of HIV-1 from infected individuals remains the ultimate goal of all anti-HIV therapeutics. Although highly active antiretroviral therapy (HAART) has led to a profound decrease in morbidity and mortality in infected people by suppressing HIV replication, the virus continues to evolve slowly during therapy even when patients achieve below detectable levels of HIV in plasma. HIV-1 persists in latently infected memory CD4+ T cells and there is minimal decay of HIV in this compartment despite prolonged HAART. Various other reservoirs and sanctuary sites harboring HIV are also established in vivo during antiretroviral therapy. Collectively these sites represent a major impediment to the eradication of HIV-1. This review presents a detailed overview of various reservoir sites in vivo, and discusses their impact on the success and failure of HAART for HIV patients. In addition, it addresses the effect of sub-optimal drug concentrations on reservoir establishment and outlines future therapeutic strategies to counteract these reservoirs and sanctuaries.
Deep Reinforcement Learning Based Resource Allocation for V2V Communications (2019)

In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communications based on deep reinforcement learning, which can be applied to both unicast and broadcast scenarios. According to the decentralized resource allocation mechanism, an autonomous “agent,” a V2V link or a vehicle, makes its decisions to find the optimal sub-band and power level for transmission without requiring or having to wait for global information. Since the proposed method is decentralized, it incurs only limited transmission overhead. From the simulation results, each agent can effectively learn to satisfy the stringent latency constraints on V2V links while minimizing the interference to vehicle-to-infrastructure communications.
Adaptive beamforming for 60 GHz radios (2010)

Beamforming is a critical and natural solution component for 60 GHz radios due to the increased signal attenuation that occurs as a consequence of the very small wavelength (mm-length) at these frequencies. In this paper, we discuss two practical challenges for 60 GHz beamforming that are likely to arise in most real-world antenna implementations, namely the infeasibility of (a) explicit channel estimation, and (b) generating isotropic antenna patterns. To overcome these challenges, we design a novel iterative training algorithm for antenna weight vectors (AWVs) that uses relatively coarse-grained feedback to obtain the optimal transmit and receive AWVs. We also propose a simple, but effective technique to identify the best transmit and receive sectors that serve to initialize our AWV training algorithm - without these well-chosen initial AWVs, the convergence time of our algorithm can be significantly longer.
Semiconductor materials and detectors for future very high luminosity colliders (2005)

Recent results from the CERN RD50 Collaboration for the development of radiation-hard detectors for the LHC upgrade (Super-LHC) and in general for very high luminosity colliders are reviewed, summarized and discussed. Particularly, the attention is focused on emerging technologies (Czochralski and Magnetic Czochralski silicon, thinned detectors, highly doped thin epitaxial layer on Czochralski substrate, pre-irradiated silicon, p-type substrate devices) and new detector structures (3D, 3D-STC, Semi-3D, and Stripixel).
DAISI: Database for AI Surgical Instruction (2020)

Telementoring surgeons as they perform surgery can be essential in the treatment of patients when in situ expertise is not available. Nonetheless, expert mentors are often unavailable to provide trainees with real-time medical guidance. When mentors are unavailable, a fallback autonomous mechanism should provide medical practitioners with the required guidance. However, AI/autonomous mentoring in medicine has been limited by the availability of generalizable prediction models, and surgical procedures datasets to train those models with. This work presents the initial steps towards the development of an intelligent artificial system for autonomous medical mentoring. Specifically, we present the first Database for AI Surgical Instruction (DAISI). DAISI leverages on images and instructions to provide step-by-step demonstrations of how to perform procedures from various medical disciplines. The dataset was acquired from real surgical procedures and data from academic textbooks. We used DAISI to train an encoder-decoder neural network capable of predicting medical instructions given a current view of the surgery. Afterwards, the instructions predicted by the network were evaluated using cumulative BLEU scores and input from expert physicians. According to the BLEU scores, the predicted and ground truth instructions were as high as 67% similar. Additionally, expert physicians subjectively assessed the algorithm using Likert scale, and considered that the predicted descriptions were related to the images. This work provides a baseline for AI algorithms to assist in autonomous medical mentoring.
Tweet2Vec: Character-Based Distributed Representations for Social Media (2016)

Text from social media provides a set of challenges that can cause traditional NLP approaches to fail. Informal language, spelling errors, abbreviations, and special characters are all commonplace in these posts, leading to a prohibitively large vocabulary size for word-level approaches. We propose a character composition model, tweet2vec, which finds vectorspace representations of whole tweets by learning complex, non-local dependencies in character sequences. The proposed model outperforms a word-level baseline at predicting user-annotated hashtags associated with the posts, doing significantly better when the input contains many outof-vocabulary words or unusual character sequences. Our tweet2vec encoder is publicly available 1 .
<scp>l</scp>-Cysteine-Assisted Synthesis of Layered MoS<sub>2</sub>/Graphene Composites with Excellent Electrochemical Performances for Lithium Ion Batteries (2011)

A facile process was developed to synthesize layered MoS(2)/graphene (MoS(2)/G) composites by an l-cysteine-assisted solution-phase method, in which sodium molybdate, as-prepared graphene oxide (GO), and l-cysteine were used as starting materials. As-prepared MoS(2)/G was then fabricated into layered MoS(2)/G composites after annealing in a H(2)/N(2) atmosphere at 800 °C for 2 h. The samples were systematically investigated by X-ray diffraction, field emission scanning electron microscopy, energy dispersive X-ray spectroscopy, and high-resolution transmission electron microscopy. Electrochemical performances were evaluated in two-electrode cells versus metallic lithium. It is demonstrated that the obtained MoS(2)/G composites show three-dimensional architecture and excellent electrochemical performances as anode materials for Li-ion batteries. The MoS(2)/G composite with a Mo:C molar ratio of 1:2 exhibits the highest specific capacity of ∼1100 mAh/g at a current of 100 mA/g, as well as excellent cycling stability and high-rate capability. The superior electrochemical performances of MoS(2)/G composites as Li-ion battery anodes are attributed to their robust composite structure and the synergistic effects between layered MoS(2) and graphene.
Scheduling by Work-Stealing in Hybrid Parallel Architectures (2013)

Nowadays, parallel computing systems have been based on multicore CPUs and specialized coprocessors, such as GPUs, due to the limits achieved by traditional architectures. In order to obtain the expected performance in these systems, the workload must be distributed and redistributed in an efficient way through some technique of scheduling, like work-stealing. This work aims to propose, implement and validate a scheduling approach based on work-stealing in parallel systems with CPUs and GPUs simultaneously. The results show that our approach and Cilk have very close performance. Furthermore, the use of both CPUs and GPUs provides clear improvement in performance due to better utilization of processing resources provided by the workstealing scheduling. 1.
Solid-State Chemistry in a Microwave Oven:  Preparation of Pd/Co Alloy from Cyanogel Coordination Polymers (2005)

Cyanogels are a class of inorganic gels made of coordination polymers, in which transition metal centers are bridged by cyanide ligands. A dehydrated gel formed by the reaction of [PdCl4]2- and [Co(CN)6]3- can be processed in a conventional microwave oven to form ferromagnetic metal alloys. The cyanogel polymer directly absorbs microwave radiation, which leads to sufficient heating of the sample to cause the rapid reduction of the metal.
Optimization-Based Audio Watermarking Using Low-Frequency Amplitude Modification (2011)

Based on Karush-Kuhn-Tucker Theorem, a new blind digital audio watermarking scheme is proposed. In order to guarantee the robustness of watermarks, this scheme embeds information into low-frequency coefficients of discrete wavelet transform. For the modification of low-frequency amplitude, this work uses Karush-Kuhn-Tucker Theorem to minimize the difference between the original and the modified coefficients. Consequently, the watermarked audio has strong robustness under sufficient watermarked-audio quality and high embedding capacity. In addition, the system can extract the hidden data without the knowledge of original audio signal. Experimental results indicate that the performance of proposed system is mostly better than other amplitude modification method.
<title>SnO<formula><inf><roman>2</roman></inf></formula>:Sb transparent conducting coatings made by different sol-gel processes</title> (1997)

Single and multilayer sol-gel coatings of transparent antimony-doped tin oxide (SnO<SUB>2</SUB>:Sb) have been prepared on borosilicate and fused silica substrates using either a 5 mole% SbCl<SUB>3</SUB> doped 0.5 M solution of SnCl<SUB>2</SUB>(OAc)<SUB>2</SUB> in ethanol or a water suspension of crystalline Sb-doped tin oxide nanoparticles. The nanoscale morphology and the electrical parameters of the layers have been determined after different firing procedures and heating rates varying from 0.2 to 4300 K/s obtained either in a furnace or by cw carbon- dioxide laser irradiation. For a given sintering temperature (approximately 540 degrees Celsius) a slow heating process in furnace leads to porous, homogeneous single and multilayers consisting of small crystallites. They present a high resistivity of about (rho) equals 4 multiplied by 10<SUP>-2</SUP> (Omega) cm. With increasing heating rate the layers become denser with larger crystallites and the resistivity value decrease down to approximately 7 X 10<SUP>-3</SUP> (Omega) cm for 4300 K/s (carbon-dioxide laser sintering). It is proposed that the densification of the coatings is determined by a competition between nucleation at low temperatures and the growth of the crystallites at high temperatures.
Gas-chromatographic assay for heme oxygenase activity. (1982)

We have developed an improved assay for microsomal heme oxygenase activity, based on the enzymic release of CO from the alpha-methene bridge of hemin and the quantitation of CO by gas chromatography. The within-run coefficient of variation (CV) of heme oxygenase assays in microsomes from rat tissues (liver, kidney) averaged 8%; the between-run CV averaged 15%. The detection limit for heme oxygenase activity was approximately 1 nmol/h per milligram of microsomal protein. Gas-chromatographic assays of heme oxygenase activities in rat tissues correlated well (r = 0.94) with results by a spectrophotometric assay based on bilirubin production. In untreated rats, heme oxygenase activity averaged 7 +/- 3 nmol/h per milligram of protein (n = 36) in kidney microsomes and 14 +/- 5 nmol/h per milligram of protein (n = 17) in liver microsomes. Heme oxygenase activity was increased 10-fold in kidney microsomes and threefold in liver microsomes from rats killed 17 h after subcutaneous injection of NiCl2 (0.5 mmol/kg body wt). These findings illustrate the efficacy of the gas-chromatographic assay for measuring xenobiotic effects on heme oxygenase activity.
On Adaptive Hybrid Error Control in Wireless Networks Using Reed–Solomon Codes (2005)

This letter models and analyzes an adaptive radio link level error control protocol using Reed–Solomon codes for wireless networks. Results show that the proposed dynamic rate adaptive strategy provides a much improved throughput relative to a conventional type-I and type-II hybrid-automatic repeat request (ARQ) protocols.
Identification of genes differentially expressed during interaction of resistant and susceptible apple cultivars (Malus × domestica) with Erwinia amylovora (2010)

These data are being used to develop hypotheses of resistance or susceptibility mechanisms in Malus to E. amylovora and provide an initial categorization of genes possibly involved in recognition events, early signaling responses the subsequent development of resistance or susceptibility. These data also provided potential candidates for improving apple resistance to fire blight either by marker-assisted selection or genetic engineering.
<i>J</i>-Aggregates of Cyanine Dye for NIR-II <i>in Vivo</i> Dynamic Vascular Imaging beyond 1500 nm (2019)

Light in the second near-infrared window, especially beyond 1500 nm, shows enhanced tissue transparency for high-resolution <i>in vivo</i> optical bioimaging due to decreased tissue scattering, absorption, and autofluorescence. Despite some inorganic luminescent nanoparticles have been developed to improve the bioimaging around 1500 nm, it is still a great challenge to synthesize organic molecules with the absorption and emission toward this region. Here, we present <i>J</i>-aggregates with 1360 nm absorption and 1370 nm emission formed by self-assembly of amphiphilic cyanine dye FD-1080 and 1,2-dimyristoyl-<i>sn</i>-glycero-3-phosphocholine. Molecular dynamics simulations were further employed to illustrate the self-assembly process. Superior spatial resolution and high signal-to-background ratio of <i>J</i>-aggregates were demonstrated for noninvasive brain and hindlimb vasculature bioimaging beyond 1500 nm. The efficacy evaluation of the clinically used hypotensor is successfully achieved by high-resolution <i>in vivo</i> dynamic vascular imaging with <i>J</i>-aggregates.
On-line, closed-loop identification of multivariable systems (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOn-line, closed-loop identification of multivariable systemsDiogenes L. Melo and John C. FriedlyCite this: Ind. Eng. Chem. Res. 1992, 31, 1, 274–281Publication Date (Print):January 1, 1992Publication History Published online1 May 2002Published inissue 1 January 1992https://pubs.acs.org/doi/10.1021/ie00001a038https://doi.org/10.1021/ie00001a038research-articleACS PublicationsRequest reuse permissionsArticle Views164Altmetric-Citations22LEARN 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-Alertsclose Get e-Alerts
The formation of polymer fibers from the rapid expansion of supercritical fluid solutions (1987)

Abstract Fibers of organic polymers (polystyrene, cellulose acetate, and polypropylene) were formed by the rapid expansion of supercritical fluid solutions through a small diameter nozzle to ambient temperature and pressure. Solutions were prepared either by dissolving the polymer directly in room temperature pentane, or in an autoclave at elevated temperatures and pressures for less soluble polymers. The fibers were collected on substrates mounted in the expansion jet. The diameters of the fibers formed (typically 1‐5 μm) were much smaller than the opening of the nozzle, although fiber diameter was observed to generally increase with nozzle diameter. The aspect ratios of the fibers, produced by this process were on the order of 10 3 or larger. Optimum conditions for fiber formation occurred at fluid expansion temperatures near the melting point of the polymer, with particle formation mechanisms favored at higher and lower temperatures.
Investigation of electrically gate-all-around hexagonal nanowire FET (HexFET) architecture for 5 nm node logic and SRAM applications (2017)

This work investigates, in detail, the electrically gate-all-around (eGAA) Hexagonal NW FET (HexFET) which combines the high current drive of FinFETs with the excellent electrostatic robustness of conventional Gate-All-Around Nanowire (GAA NW) FETs. We evaluate HexFET as a potential successor to FinFET for 5nm node logic and SRAM applications using first principles atomistic-based modeling, calibrated 3D numerical device simulations, and circuit-level benchmarking. From this, we conclude that the eGAA HexFET architecture offers superior performance to both FinFET and GAA NW FET for 5nm node applications.