gebhart/patrepeval huggingface dataset:
USING RESISTIVITY TO MEASURE H/Pd AND D/Pd LOADING: METHOD AND SIGNIFICANCE (2006)

The resistance ratio method is the most frequent technique used to determine the extent of interstitial loading of hydrogen or deuterium atoms into palladium electrodes, or extended structures used in electrolytic or gas phase cold fusion experiments. Specifically, advantage is taken of an empirical relationship between the measured resistance, R, normalized to that of the same body at the same temperature in the absence of hydrogen isotope, R°, hence R/R°, and the atomic fraction occupancy of octahedral interstitials, x = H/Pd or D/Pd. This method was first suggested and employed in cold fusion studies by the present authors [1], and received immediate and widespread acceptance because of the ease with which this experimental technique could be used to make insitu, real-time measurements of a parameter, D/Pd, anticipated [2] or hypothesized [3-6] at that time to relate to cold fusion heat excess or nuclear production. We take up this topic again 15 years later in an attempt to clear up some errors and misunderstandings regarding the resistance ratio method and its application in cold fusion studies. The relationship between R/R ° and x is empirical. That is, calibrations are only as good as the experiments that support the shape of the curve and cannot be used outside the range [P, T, x] in which data are taken. The original calibration [1] (unaccountably and erroneously immortalized as the “famous Baranowski curve”) involved an extrapolation of known data into the region of cold fusion interest in the D-Pd system, at x&amp;gt;0.6. Present theory and results focus new attention on the very high loading region as x approaches or even exceeds unity, where
An Integrated Design and Simulation Environment for Rapid Prototyping of Laminate Robotic Mechanisms (2018)

Laminate mechanisms are a reliable concept in producing lowcost robots for educational and commercial purposes. These mechanisms are produced using low-cost manufacturing techniques which have improved significantly during recent years and are more accessible to novices and hobbyists. However, iterating through the design space to come up with the best design for a robot is still a time consuming and rather expensive task and therefore, there is still a need for model-based analysis before manufacturing. Until now, there has been no integrated design and analysis software for laminate robots. This paper addresses some of the issues surrounding laminate analysis by introducing a companion to an existing laminate design tool that automates the generation of dynamic equations and produces simulation results via rendered plots and videos. We have validated the accuracy of the software by comparing the position, velocity and acceleration of the simulated mechanisms with the measurements taken from physical laminate prototypes using a motion capture system.
Absolute Measurement of Rotationally Symmetric Aspheric Surfaces (2006)

The surface is scanned along its symmetry axis in a Fizeau cavity with spherical reference surface. The coordinates x,y,z at the (moving) zone of normal incidence are derived from simultaneous phase-measurements at the apex and zone.
Synthetic to Real Adaptation with Generative Correlation Alignment Networks (2017)

Synthetic images rendered from 3D CAD models are useful for augmenting training data for object recognition algorithms. However, the generated images are non-photorealistic and do not match real image statistics. This leads to a large domain discrepancy, causing models trained on synthetic data to perform poorly on real domains. Recent work has shown the great potential of deep convolutional neural networks to generate realistic images, but has not utilized generative models to address synthetic-to-real domain adaptation. In this work, we propose a Deep Generative Correlation Alignment Network (DGCAN) to synthesize images using a novel domain adaption algorithm. DGCAN leverages a shape preserving loss and a low level statistic matching loss to minimize the domain discrepancy between synthetic and real images in deep feature space. Experimentally, we show training off-the-shelf classifiers on the newly generated data can significantly boost performance when testing on the real image domains (PASCAL VOC 2007 benchmark and Office dataset), improving upon several existing methods.
Active Filtering of Input Ripple Current to Obtain Efficient and Reliable Power from Fuel Cell Sources (2006)

Fuel cells are one of the cleanest and most efficient technologies for generating electricity. In most cases, the fuel cell associated power conditioning system must include a DC-DC converter and a DC to AC inverter. Inverter input ripple current has been reported to possibly degrade fuel cell performance and reduce operating life if ripple currents are not adequately controlled. This paper proposes an active filtering method to cancel the 2nd harmonic current ripple drawn from the fuel cell source in a typical single phase fuel cell system. The proposed active harmonic filter provides an alternate path for the 120 Hz ripple, thereby, preventing the ripple from circulating through the source. The proposed system was simulated using PSpice and the results are presented. Experimental results from a laboratory prototype are also included to validate the proposed approach
Multiple Functional Effects of Korea Ginseng on Vascular Endothelial Cells (2006)

다양한 연구에 따르면, 고려인삼은 허약한 체질, 숙취, 폐경과 월경불순, 초기 당뇨병, 영양실조, 빈혈 및 단백질 부족, 간기능 악화, 각종 독성물질에 기인한 중독, 피로, 추위, 스트레스, 산후조리, 체력쇠퇴 등에 효능이 있음이 알려져 있다 특히 고려인삼은 혈관 기능을 효과적으로 조절함으로 고혈압, 뇌졸중, 심근경색, 동맥경화, 관절염, 당뇨, 비만 등의 질환을 효과적으로 치료하거나 예방할 수 있는 효능이 있음이 최근 연구에 의하여 밝혀지고 있다 그러나 고려인삼 . 약리효능의 표적분자(target molecule)나 생화학적 작용기전(biochemical mechanism)이 세포 및 분자 수준에서 규명되지 못하여 고려인삼이의약품으로 인정받지 못하고 건강식품으로 분류되고 있어 소비가 한인ㆍ흑인ㆍ히스패닉 시장에 한정되고 있고, 최근에는 타 경쟁국 인삼에 비해 수출 경쟁력이 약화되고 있는 실정이다. 본 연구에서는 고려인삼 추출물과 효능성분이 혈관내피세포 기능조절에 미치는 효능 및 작용기전을 규명하여 고려인삼이 호발성 혈관질환에 대한 예방 및 치료 효능이 있음을 분자 및 유전자 수준에서 확인하고자 하였다.
Towards a Reference Model for Social User Profiles: Concept & Implementation (2011)

Despite the recent spreading of social networks, which leads to scattered social user prole information, current user models hardly incorporate social aspects. In addition, user models are often heterogenous with respect to focus and coverage. A comprehensive view on social user proles, however, would be required, for instance, for building sophisticated recommender systems, or to provide users with means to control disclosure and usage of their integrated prole data. Therefore, we encountered the need for a reference model, which can serve as a basis for developing more specialized models and facilitate communication among stakeholders. In this paper we present such a reference model for social user proles , which is extensible as well as comprehensive. The proposed model provides a generic core for extensions, and a comprehensive set of concrete concepts from existing social networks and user models, as well as concepts to represent meta information. In addition, a rst prototypical implementation in terms of an ontology in owl is discussed.
Developing PHY906 as a broad- spectrum modulator of chemotherapeutic agents in cancer therapy (2004)

557 PHY906 is a traditional Chinese botanical formulation consisting of 4 different herbs, and it has been used for some 1800 years to treat gastrointestinal ailments, some of which are commonly observed side effects in cancer patients undergoing chemotherapy. We have previously reported that PHY906 reduced chemotherapy-induced toxicities including body weight loss and mortality, and that it also enhanced the antitumor efficacy of a broad-spectrum of anticancer agents, such as CPT-11, 5-FU, CPT-11/5-FU/LV, VP-16, and L-OddC in in vivo animal models. PHY906 has been co-administrated with either the oral 5-FU prodrug capecitabine or CPT-11 in human hepatocellular xenografts mouse model, and with gemcitabine in mouse pancreatic cancer model. We have shown that PHY906 significantly enhanced the therapeutic index of chemotherapeutic agents studied in both hepatocellular and pancreatic cancer models. Co-administration of PHY906 with either capecitabine or gemcitabine in animal models did not alter the pharmacokinetic profile of capecitabine, gemcitabine, or their respective metabolites. Our biochemical studies revealed that the PHY906 formulation possesses a wide range of pharmacological activities. The potential mechanism(s) of action of PHY906 include (1) enhancement of oral uptake of pharmacologically active agents with inhibition in intestinal CYP3A4; (2) inhibition of NF-κB activity; (3) inhibition of MMP activity; and (4) destruction of the integrity of sinusoids in hepatoma. These pre-clinical in vivo studies have provided rationale for developing PHY906 in the clinical setting. A phase I/IIA double-blind placebo-controlled, dose escalation study of PHY906 was initiated to evaluate the potential effect of PHY906 in modulating CPT-11-induced diarrhea associated with the bolus, weekly schedule of CPT-11/5-FU/LV in advanced colorectal cancer patients. A second phase I/II open-label dose escalation clinical trial has just been opened to patient accrual to evaluate the role of PHY906 in combination with capecitabine in the treatment of hepatocellular carcinoma.
Backend Engine for Parallel String Matching Using Boolean Matrix (2006)

In this paper we present new method for exact string matching algorithm based on layered architecture and two-dimensional array. This has applications such as string databases and computational biology. The main use of this method is to reduce the time spent on comparisons of string matching by distributing the data among processors which achieves a linear speedup and requires layered architecture and additionally p*# processors. In this paper we proposed generalized mapping scheme for distributed computing environment. We introduced efficient dataflow schemes for the exact string matching problems
Comparison of pre- and post-contrast myocardial T1 with histology findings in Experimental autoimmune myocarditis in rats (2015)

Background Magnetic resonance imaging as a noninvasive method offers diagnostic and prognostic information in myocarditis. T1 mapping techniques aim to overcome the limitations of late gadolinium enhancement to assess diffuse fibrosis and inflammatory infiltrates. Using an established animal model of myocarditis, the aim of this study was to measure myocardial T1 before the onset, and in the acute and chronic stages of the disease and to compare its course with histological and immunohistochemistry findings.
Streaming Complexity of Spanning Tree Computation (2020)

The semi-streaming model is a variant of the streaming model frequently used for the computation of graph problems. It allows the edges of an $n$-node input graph to be read sequentially in $p$ passes using $\tilde{O}(n)$ space. In this model, some graph problems, such as spanning trees and $k$-connectivity, can be exactly solved in a single pass; while other graph problems, such as triangle detection and unweighted all-pairs shortest paths, are known to require $\tildeΩ(n)$ passes to compute. For many fundamental graph problems, the tractability in these models is open. In this paper, we study the tractability of computing some standard spanning trees. Our results are: (1) Maximum-Leaf Spanning Trees. This problem is known to be APX-complete with inapproximability constant $ρ\in[245/244,2)$. By constructing an $\varepsilon$-MLST sparsifier, we show that for every constant $\varepsilon &gt; 0$, MLST can be approximated in a single pass to within a factor of $1+\varepsilon$ w.h.p. (albeit in super-polynomial time for $\varepsilon \le ρ-1$ assuming $\mathrm{P} \ne \mathrm{NP}$). (2) BFS Trees. It is known that BFS trees require $ω(1)$ passes to compute, but the naïve approach needs $O(n)$ passes. We devise a new randomized algorithm that reduces the pass complexity to $O(\sqrt{n})$, and it offers a smooth tradeoff between pass complexity and space usage. (3) DFS Trees. The current best algorithm by Khan and Mehta {[}STACS 2019{]} takes $\tilde{O}(h)$ passes, where $h$ is the height of computed DFS trees. Our contribution is twofold. First, we provide a simple alternative proof of this result, via a new connection to sparse certificates for $k$-node-connectivity. Second, we present a randomized algorithm that reduces the pass complexity to $O(\sqrt{n})$, and it also offers a smooth tradeoff between pass complexity and space usage.
Cerebrospinal Fluid Physiology and Cerebrospinal Fluid Drainage: In Reply (2004)

We thank Drs. Mahajan and Gupta for their comment. Our data were based on a neuroanatomy text written by the head of the anatomy department of the Medical University of Vienna. 1However, we wish to stress that the main purpose of our case report is to discuss the clinical value of a longer period of cerebrospinal fluid drainage. The details of normal cerebrospinal fluid physiology are beyond the scope of our article.
Study of advanced professional educational requirements relative to nuclear fuel cycle engineering in industry and government. Final report (1978)

Under contract with the U.S. Department of Energy, the College of Engineering at the University of South Carolina has conducted an assessment of educational needs among engineers working in nuclear fuel cycle related areas. The study was initiated as a regional effort focusing on the concentration of nuclear industry in the Southeast. Educational needs addressed were those at the post-baccalaureate professional level. The project was envisioned as providing base line information for the eventual implementation of a program in line with the needs of the Southeast's nuclear community. Specific objectives were to establish the content of such a program and to determine those specialized features which would make the program most attractive and useful.
Optimal approximations of the frequency moments of data streams (2005)

We give a 1-pass Õ(m1-2⁄k)-space algorithm for computing the k-th frequency moment of a data stream for any real k > 2. Together with the lower bounds of [1, 2, 4], this resolves the main problem left open by Alon et al in 1996 [1]. Our algorithm also works for streams with deletions and thus gives an Õ(m 1-2⁄p) space algorithm for the Lp difference problem for any p > 2. This essentially matches the known Ω(m1-2⁄p-o(1)) lower bound of [12, 2]. Finally the update time of our algorithms is Õ(1).
High molecular weight PEGylation of human pancreatic polypeptide at position 22 improves stability and reduces food intake in mice (2016)

Modification with PEG22 at position 22 stabilizes hPP significantly while extending its biological activities and could be used in drug development prospectively.
Caracterización de un array ultrasónico de anillos segmentados (2000)

5 pp.-- PACS nrs.: 43.38P, 43.35 C.-- Comunicacion presentada en los siguientes congresos: II Congreso Iberoamericano de Acustica. XXXI Congreso Nacional de Acustica – TecniAcustica 2000. II Jornadas Iberoamericanas de Ultrasonidos. II Congreso Iberico de Acustica. EAA Symposium on Architectural Acoustics (Madrid, 16-20 Octubre 2000).
Publicado tambien en numero especial de la Revista de Acustica, Vol. XXXI, ano 2000.
Evaluation of Stress Transfer Mechanism in Single Fiber Pull-Out Test by Numerical Analysis. (1998)

The general aim of this study is to establish the modeling technique of interphase, which is the interfacial region between fiber and matrix, and to investigate the effects of interphase properties on the stress transfer mechanism and the fracture behavior in single fiber pull-out test. The finite element analytical model, which was divided independently with each element of fiber, matrix and interphase, has been applied. The interphase was assumed as orthotropy, because it can be dealt with the stress transfer and the stress bearing separately. The influence of interfacial shear stiffness on stress transmissibility was evaluated by the stress transferred from fiber to matrix by passing through the interphase. Also the effects of thermal stress which occurred at post-curing of resin, and meniscus which formed at the edge between fiber and matrix surface were investigated by FEM. From the analytical results, the following points were obtained; (1) the interphase shearing modulus strongly affected the interfacial stress transmissibility, (2) the degree of stress concentration occurring at matrix surface was varied by interphase shear modulus, meniscus size and thermal stress, (3) the meniscus size largely affects both a success of pull-out testing and an appearance of the interfacial properties.
Mabfilin and Fabfilin - New antibody-scaffold fusion formats for multispecific targeting concepts (2018)

Protein based binding molecules have a broad applicability from therapeutic to technical use. Monoclonal antibodies represent the major class of this type of agents complemented by innovative approaches using scaffold proteins with tailor-made properties. Various concepts for new formats combining antibody chains or antibody fragments and fusions with other entities have been developed recently. This strategy opens up options to design molecules with biophysical, biochemical and pharmacological characteristics in a broad range while simultaneously addressing several targets or epitopes. The demand for such compounds is still growing as reflected by the literature and further new ideas are expected. In this context we developed so called Mabfilin and Fabfilin molecules. The formats synergistically bring together the classical antibody or fragments thereof supplemented with additional binding moieties, the Affilin<sup>®</sup> molecules. These are based on the scaffold ubiquitin endowed with novel targeting properties by local randomization and selection from combinatorial libraries. Mab-/Fabfilin variants show advantageous biochemical properties and open a new route for the development of multispecific compounds for flexible applications.
Expression profiling technology: its contribution to our understanding of breast cancer (2007)

Breast cancer is a complex genetic disease characterized by the accumulation of multiple molecular alterations. Routine clinical management of breast cancer relies on clinical and pathological factors, however. These seem insufficient to reflect the whole clinical heterogeneity of tumours and are less than perfectly adapted to each patient. Recent advances in human genome research and high-throughput molecular technologies have made it possible to tackle the molecular complexity of breast cancer and have contributed to the realization that the biological heterogeneity of breast cancer has implications for treatment. Gene expression profiling of breast cancer has been performed using several approaches. This review will describe the details of gene expression profiling of breast cancer, the different approaches and the impact on clinical management.
UPF1 silenced cellular model systems for screening of read-through agents active on β039 thalassemia point mutation (2018)

This novel cellular model could be used for the screening of molecules exhibiting preferential read-through activity allowing a great rescue of the mutated transcripts.
Adsorption of chitosan and a quaternized derivative on kaolin (1989)

International audience
Transforming growth factor‐β isoforms differently stimulate proα2 (I) collagen gene expression during wound healing process in transgenic mice (2002)

The role of many growth factors and cytokines in the process of wound healing has been intensively investigated in recent two decades. Among them, transforming growth factor-betas (TGF-betas) are well known to have a potent stimulatory effect on collagen synthesis as shown in various in vivo experimental systems. In the present study, we examined the effects of various growth factors on the promoter activity of the proalpha2 (I) collagen gene (COL1A2) during the wound healing process. For this purpose, we utilized transgenic mice harboring the -17 kb promoter sequence of the mouse COL1A2 linked to either a firefly luciferase or a bacterial beta-galactosidase gene. These mice exhibited normal phenotypic expression and the wound healing process was not impaired. Full thickness wounds were made by punch biopsy. We examined the effects of TGF-beta1, -beta2, -beta3, basic fibroblast growth factor, platelet-derived growth factor, and connective tissue growth factor by applying them locally to the open wound every 2 days. Among the growth factors examined, all of the three isoforms of TGF- exhibited a more potent stimulatory effect on COL1A2 promoter activity than did other factors. In addition, while TGF-beta1 and -beta2 significantly increased the number of fibroblasts which were positive for X-Gal staining, TGF-beta3 treatment did not change the number of beta-galactosidase expressing cells. Accumulation of collagen fibers was observed to the same extent in the mice treated with TGF-beta1 and those with TGF-beta3. These findings suggest that TGF-beta1 and -beta3 have similar but not identical regulatory mechanisms of COL1A2 expression, and that their pathophysiological roles in wound healing might be different from each other.
Relation of Institutional Mitral Valve Surgical Volume to Surgical and Transcatheter Outcomes in Medicare Patients (2021)

There are limited data to support proposed increases to the minimum institutional mitral valve (MV) surgery volume required to begin a transcatheter mitral valve repair (TMVr) program. The current study examined the association between institutional MV procedure volumes and outcomes. All 2017 Medicare fee-for-service patients who received a TMVr or MV surgery procedure were included and analyzed separately. The exposure was institutional MV surgery volume: low (1 to 24), medium (25 to 39) or high (40+). Outcomes were in-hospital mortality and 1-year postdischarge mortality and cardiovascular rehospitalization. For MV surgery patients, in-hospital mortality rates were 6.4% at low-volume, 8.7% at medium-volume and 9.8% at high-volume facilities. Rates were significantly higher for low-volume [OR = 1.50, 95% CI (1.23 to 1.84)] and medium-volume [OR = 1.33, 95% CI (1.06 to 1.67)] compared with high-volume facilities. There was no statistically significant relationship between institutional MV surgery volume and in-hospital mortality for TMVr patients, either at low-volume [OR = 1.52, 95% CI (0.56, 4.13)] or medium-volume [OR = 1.58, 95% CI (0.82, 3.02)] facilities, compared with high-volume facilities. Across all volume categories, in-hospital mortality rates for TMVr patients were relatively low (2.3% on average). For both cohorts, the rates of 1-year mortality and cardiovascular rehospitalizations were not significantly higher at low- or medium-volume MV surgery facilities, as compared with high-volume. In conclusion, among Medicare patients, there was a relation between institutional MV surgery volume and in-hospital mortality for MV surgery patients, but not for TMVr patients.
Methodology for the Numerical Simulation of Natural Gas, Coal, and Coke Combustion in a Blast Furnace (2008)

A blast furnace is a reaction vessel in which iron ore is converted to molten iron. High rate pulverized coal injection (PCI) into a blast furnace (BF) is an existing process that is known to decrease the amount of coke in the ironmaking process. Natural gas co-injection with pulverized coal increases the burnout and devolatilization rates of pulverized coal. Also, hydrogen produced from natural gas combustion is a powerful reducing agent of iron (III) oxide, releasing pure iron that trickles down and is eventually removed through the taphole. Due to the inherent complexity of the blast furnace ironmaking process, numerical simulation can prove to be quite difficult. This paper describes a three step methodology for modeling blast furnace combustion, and its application to a furnace in operation at USSC Hamilton Works.