gebhart/patrepeval huggingface dataset:
Effects of simulated microgravity on closed-loop cardiovascular regulation and orthostatic intolerance: analysis by means of system identification (2004)

Microgravity-induced orthostatic intolerance (OI) continues to be a primary concern for the human space program. To test the hypothesis that exposure to simulated microgravity significantly alters autonomic nervous control and, thus, contributes to increased incidence of OI, we employed the cardiovascular system identification (CSI) technique to evaluate quantitatively parasympathetic and sympathetic regulation of heart rate (HR). The CSI method analyzes second-to-second fluctuations in noninvasively measured HR, arterial blood pressure, and instantaneous lung volume. The coupling mechanisms between these signals are characterized by using a closed-loop model. Parameters reflecting parasympathetic and sympathetic responsiveness with regard to HR regulation can be extracted from the identified coupling mechanisms. We analyzed data collected from 29 human subjects before and after 16 days of head-down-tilt bed rest (simulated microgravity). Statistical analyses showed that parasympathetic and sympathetic responsiveness was impaired by bed rest. A lower sympathetic responsiveness and a higher parasympathetic responsiveness measured before bed rest identified individuals at greater risk of OI before and after bed rest. We propose an algorithm to predict OI after bed rest from measures obtained before bed rest.
Unraveling the relationship between structure and stabilization of triarylpyridines as G-quadruplex binding ligands (2011)

A series of novel 2,4,6-triarylpyridines have been synthesized and their interactions with intramolecular G-quadruplexes have been measured by Förster Resonance Energy Transfer (FRET) melting and Fluorescent Intercalator Displacement (FID) assays. A few of these compounds exhibit stabilization of G4-DNA that is comparable to other benchmark G4-DNA ligands with fair to excellent G4-DNA vs. duplex selectivity and significant cytotoxicity towards HeLa cells. The nature of the 4-aryl substituents along with side chain length governs the G4-DNA stabilization ability of the compounds. In addition, we demonstrate that there is a strong correlation between the ability of the compounds to stabilize the same G4-DNA sequence in K(+) and Na(+) conditions and a strong correlation between the ability of the compounds to stabilize different G4-DNA sequences in K(+) or Na(+) buffer.
Wireless ATM - Multimedia Service Platform (2005)

The need to provide multimedia services in the wireless environment has increased remarkably. This is being driven by the rapid service development in the computer environment as well as by the increasing penetration of wireless communication systems. In this paper we describe the development of wireless multimedia services and their requirements. A gradual introduction of multimedia capabilities to the users is discussed. For each phase of this process a corresponding wireless system is identified. Finally, Wireless ATM is presented as a potential technology to be able to provide enough bandwidth along with a good Quality of Service (QoS) support for new multimedia services in a wireless environment.
Ni-Doping Effects on Oxygen Removal from an Orthorhombic Mo2C (001) Surface: A Density Functional Theory Study (2017)

Density functional theory (DFT) calculations were used to investigate the effect of Ni dopants on the removal of chemisorbed oxygen (O*) from the Mo-terminated (TMo) and C-terminated (TC) Mo2C(001) surfaces. The removal of adsorbed oxygen from the catalytic site is essential to maintain the long-term activity and selectivity of the carbide catalysts in the deoxygenation process related to bio-oil stabilization and upgrading. In this contribution, the computed reaction energetics and reaction barriers of O* removal were compared among undoped and Ni-doped Mo2C(001) surfaces. The DFT calculations indicate that selected Ni-doped surfaces such as Ni adsorbed on TMo and TC Mo2C(001) surfaces enable weaker binding of important reactive intermediates (O*, OH*) compared to the undoped counterparts, which is beneficial for the O* removal from the catalyst surface. This study thus confirms the promoting effect of the Ni dopant on O* removal reaction on the TMo Mo2C(001) and TC Mo2C(001) surfaces. This computational prediction has been confirmed by the temperature-programmed reduction profiles of Mo2C and Ni-doped Mo2C catalysts, which had been passivated and stored in an oxygen environment.
Development of STEM-Based AI Education Program for Sustainable Improvement of Elementary Learners (2022)

Recent years have seen tremendous technology and research development in the field of artificial intelligence (AI). Initiatives are being made to build or employ AI in various domains of society. The field of education is experiencing the same trend. Being able to solve various issues by utilizing AI and varied learning materials is a crucial fundamental skill for students of all ages. The purpose of this study is to (1) develop STEM-based artificial intelligence education for K–6 grade students and (2) measure the effectiveness of the developed program in terms of creative problem-solving ability, AI literacy, and attitude toward AI. Experimental studies show an improvement in the average score and that all three elements are statistically significant. Additionally, it is established that the view of the study’s program and AI is good as a result of the emotional analysis of the comments freely expressed by the students. This study reflects on the need for establishing effective and various AI educational programs.
Metastatic Renal Cell Carcinoma Arising in a Native Kidney of a Renal Transplant Recipient (1994)

We report a case of metastatic renal cell carcinoma arising in the native kidney of a renal transplant recipient. A 39-year-old man, who had undergone living renal transplantation from his mother at age 32, presented with complaints of paraplegia of the leg caused by a pathological fracture of the 3rd lumbar vertebra. The bone tumor was extirpated and pathological examination revealed metastatic adenocarcinoma. Abdominal computerized tomography showed a tumor in the right native kidney. Right nephrectomy and resection of the right 7th rib tumor were performed. Pathological evaluation demonstrated renal cell carcinoma of the right native kidney (pT2bpN0pV0M1, mixed cell type, grade 2). Postoperatively, cyclosporine was discontinued and natural interferon-alpha was given. The remaining bone metastasis had completely resolved with no significant sign of rejection 1 year after surgery.
ATP13A3 is a major component of the enigmatic mammalian polyamine transport system (2020)

Polyamines, such as putrescine, spermidine, and spermine, are physiologically important polycations, but the transporters responsible for their uptake in mammalian cells remain poorly characterized. Here, we reveal a new component of the mammalian polyamine transport system using CHO-MG cells, a widely used model to study alternative polyamine uptake routes and characterize polyamine transport inhibitors for therapy. CHO-MG cells present polyamine uptake deficiency and resistance to a toxic polyamine biosynthesis inhibitor methylglyoxal bis-(guanylhydrazone) (MGBG), but the molecular defects responsible for these cellular characteristics remain unknown. By genome sequencing of CHO-MG cells, we identified mutations in an unexplored gene, ATP13A3, and found disturbed mRNA and protein expression. ATP13A3 encodes for an orphan P5B-ATPase (ATP13A3), a P-type transport ATPase that represents a candidate polyamine transporter. Interestingly, ATP13A3 complemented the putrescine transport deficiency and MGBG resistance of CHO-MG cells, whereas its knockdown in WT cells induced a CHO-MG phenotype demonstrated as a decrease in putrescine uptake and MGBG sensitivity. Taken together, our findings identify ATP13A3, which has been previously genetically linked with pulmonary arterial hypertension, as a major component of the mammalian polyamine transport system that confers sensitivity to MGBG.
An analytical model for liquid-anode and vapor-anode AMTEC converters (1997)

This paper describes a lumped analytical model of liquid-anode single-tube and vapor-anode multi-tube AMTEC cells. The model results agreed well with experimental data for Mo, NbN and TiN electrodes. Results showed that Mo and NbN electrodes exhibit high B values between 400 and 600 A.K1/2/Pa.m2, and have the potential for peak power densities slightly above 1 W/cm2, with efficiencies as high as 28%. In contrast, TiN electrodes have lower temperature-independent exchange currents, between 120 and 135 A.K1/2/Pa.m2, lower peak power densities between 0.5 and 0.75 W/cm2, and efficiencies below 24% at a BASE temperature of 1200 K. These values of B compare well with that reported by other investigators.
Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression (2011)

Visual neurons can respond with extremely precise temporal patterning to visual stimuli that change on much slower time scales. Here, we investigate how the precise timing of cat thalamic spike trains-which can have timing as precise as 1 ms-is related to the stimulus, in the context of both artificial noise and natural visual stimuli. Using a nonlinear modeling framework applied to extracellular data, we demonstrate that the precise timing of thalamic spike trains can be explained by the interplay between an excitatory input and a delayed suppressive input that resembles inhibition, such that neuronal responses only occur in brief windows where excitation exceeds suppression. The resulting description of thalamic computation resembles earlier models of contrast adaptation, suggesting a more general role for mechanisms of contrast adaptation in visual processing. Thus, we describe a more complex computation underlying thalamic responses to artificial and natural stimuli that has implications for understanding how visual information is represented in the early stages of visual processing.
Video Shot Boundary Detection and Scene Segmentation (2011)

This chapter presents a new and efficient method for shot boundary detection (SBD) and scene segmentation. Commonly the first step in content-based video analysis, SBD partitions video data into fundamental units of shots. Over the past decade, SBD has attracted a considerable amount of research attention. However, the detection accuracy achieved leaves much to be desired. In this chapter, a new SBD method based on sequential change detection is proposed to achieve improved detection accuracy. The method is then extended to segment videos into scenes. Compared with existing scene segmentation methods, the proposed method can also obtain more accurate results over a large set of test videos.Request access from your librarian to read this chapter's full text.
Comparison of reagent stretch vs bend excitation in the hydrogen atom + water-d2 reaction: an example of mode-selective chemistry (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTComparison of reagent stretch vs bend excitation in the hydrogen atom + water-d2 reaction: an example of mode-selective chemistryMichael J. Bronikowski, William R. Simpson, and Richard N. ZareCite this: J. Phys. Chem. 1993, 97, 10, 2204–2208Publication Date (Print):March 1, 1993Publication History Published online1 May 2002Published inissue 1 March 1993https://pubs.acs.org/doi/10.1021/j100112a022https://doi.org/10.1021/j100112a022research-articleACS PublicationsRequest reuse permissionsArticle Views167Altmetric-Citations94LEARN 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 options Get e-Alerts
Future Directions of Therapeutic Vaccines for Chronic Diseases (2020)

Vaccines are well-known therapies for infectious disease and cancer; however, recently, we and others have developed vaccines for other chronic diseases, such as hypertension, diabetes and dyslipidemia. Although we have many treatment options for hypertension, including angiotensin II type 1 receptor blockers, calcium-channel blockers, and diuretics, a substantial portion of the hypertensive population has uncontrolled blood pressure due to poor medication adherence. When these vaccines are established in the future as therapeutic options for chronic diseases, their administration regimen, such as several times per year, will replace daily medication use. Thus, therapeutic vaccines might be a novel option to control the progression of cardiovascular diseases. Importantly, regarding the development of vaccines against self-antigens (i.e., angiotensin II), the vaccine should efficiently induce a blocking antibody response against the self-antigen without provoking cytotoxic T cells. Therefore, to address the safety and efficiency of therapeutic vaccines, we have developed an original B-cell vaccine to induce antibody production and used carrier proteins, which include exogenous T-cell epitopes through the major histocompatibility complex. In this review, we will introduce the challenges in developing therapeutic vaccines for chronic diseases and describe the therapeutic potential for cardiovascular diseases.
An impaired natriuretic peptide hormone system may play a role in COVID‐19 severity in vulnerable populations (2020)

Advanced age, underlying cardiovascular disease (including hypertension), and obesity are associated with a higher risk of progression to severe hypoxemia, acute respiratory distress syndrome (ARDS), and death in COVID-19-infected patients. African Americans have a higher degree of COVID-19 mortality. The incidence of salt-sensitive hypertension is higher in older individuals and African Americans. Lower circulating levels of natriuretic peptides, key regulators of vascular tone and kidney function, have been associated with salt-sensitive hypertension and obesity. Evidence has accumulated that ANP administered to pulmonary endothelial cells, isolated lungs, and patients suffering from ARDS reduces endothelial damage and preserves the endothelial barrier, thereby reducing pulmonary edema and inflammation. Epidemiologic and pharmacologic data suggest that deficiencies in the natriuretic peptide hormone system may contribute to the development of severe lung pathology in COVID-19 patients, and treatments that augment natriuretic peptide signaling may have potential to limit progression to ARDS.
Proteome analysis of hairy root from Panax ginseng C. A. Meyer using peptide fingerprinting, internal sequencing and expressed sequence tag data (2003)

As an initial step to the comprehensive proteomic analysis of Panax ginseng C. A. Meyer, protein mixtures extracted from the cultured hairy root of Panax ginseng were separated by two-dimensional polyacrylamide gel electrophoresis (2-DE). The protein spots were analyzed and identified by peptide finger printing and internal amino acid sequencing by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) and electrospray ionization quadrupole-time of flight mass spectrometry (ESI Q-TOF MS), respectively. More than 300 protein spots were detected on silver stained two-dimensional (2-D) gels using pH 3-10, 4-7, and 4.5-5.5 gradients. Major protein spots (159) were analyzed by peptide fingerprinting or de novo sequencing and the functions of 91 of these proteins were identified. Protein identification was achieved using the expressed sequence tag (EST) database from Panax ginseng and the protein database of plants like Arabidopsis thaliana and Oryza sativa. However, peptide mass fingerprinting by MALDI-TOF MS alone was insufficient for protein identification because of the lack of a genome database for Panax ginseng. Only 17 of the 159 protein spots were verified by peptide mass fingerprinting using MALDI-TOF MS whereas 87 out of 102 protein spots, which included 13 of the 17 proteins identified by MALDI-TOF MS, were identified by internal amino acid sequencing using tandem mass spectrometry analysis by ESI Q-TOF MS. When the internal amino acid sequences were used as identification markers, the identification rate exceeded 85.3%, suggesting that a combination of internal sequencing and EST data analysis was an efficient identification method for proteome analysis of plants having incomplete genome data like ginseng. The 2-D patterns of the main root and leaves of Panax ginseng differed from that of the cultured hairy root, suggesting that some proteins are exclusively expressed by different tissues for specific cellular functions. Proteome analysis will undoubtedly be helpful for understanding the physiology of Panax ginseng.
Stress-Dependent Permeabilities of Sandstones and Carbonates: Compression Experiments and Pore Network Modeling (2007)

Abstract Mechanical effects are of great importance during reservoir production and induce sensible changes of the transport properties. This work focuses on the forecast of the change of porosity and permeabilities of reservoir rocks submitted to hydrostatic and deviatoric stress states representative of the field conditions. To predict these evolutions, we need to perform flow experiments with representative stress conditions. Our triaxial cell was designed to achieve this purpose and allows the measurement of permeabilities in the directions along and transverse to the principal direction of stresses. A good knowledge of the rock microstructures is also fundamental to choose the correct set of parameters for the simulation tools, and the input from our micro scanner facility is therefore of great importance. Using our directional permeability triaxial apparatus, we applied different stress paths to sandstones and carbonates samples and the evolutions of porosity and permeabilities were monitored during loading. We performed a microstructural analysis of these rocks using Mercury Porosimetry and Computed Micro Tomography imaging. From the 3D reconstructions, we extracted the poral network skeletons and the associated pore and throat size distributions. Then we performed two kinds of pore network modeling, one based on the real pore geometry and another based on a statistical description, to calculate the macroscopic transport properties. We included a model of pressure dependence of pore and throat sizes, based on deformation of porous inclusions in the framework of elasticity theory, to simulate the evolution of the transport properties with pressure. This model requires the knowledge of the elastic moduli of the rocks which were determined experimentally from the compression experiments. We show that the experimental determination of the evolution of directional permeabilities under hydrostatic and deviatoric stress conditions is feasible. The pressure dependences can be of valuable importance and therefore influence of mechanical effects should be investigated in experimental transport studies. Finally, we show that pore network modeling associated with CMT imaging can be used to forecast the pressure evolution of transport properties and therefore to understand the reservoir response to production.
iRun: interactive rendering of large unstructured grids (2007)

We present iRun, a system for interactively volume rendering large unstructured grids on commodity PCs. Rendering arbitrarily large datasets has been an active area of research for many years. However, the techniques required for polygonal data do not directly apply to the more complex problem of unstructured grids. In this paper, we describe the data structures and algorithms necessary to store large datasets on disk, keep an active portion of the dataset in main memory, and render visible regions to one or more displays. Our system leverages a combination of out-of-core data management, distributed rendering, hardware-accelerated volume rendering, and dynamic level-of-detail. On a commodity PC, our system can preprocess a dataset consisting of about 36 million tetrahedra in about an hour and can render it interactively with one or more PCs.
Systematic Evaluation of Antigenic Stimulation in Chronic Lymphocytic Leukemia: Humoral Immunity as Biomarkers for Disease Evolution (2023)

Quantitative differences in immunoglobulin serum levels could be potential biomarkers for disease progression. In the top 5 tumoral antigens, we detected autoantibodies (IgM and IgG) against proteins related to cell homeostasis and metabolism in the studied cohort. The top 5 microbial antigens were associated with respiratory and gastrointestinal infections; moreover, the subsets with better prognostics were characterized by a reactivation of Cytomegalovirus. The viral humoral response could be a potential prognosis biomarker for disease progression.
A reconfigurable architecture for real time segmentation of image sequences using self-organizing feature maps (2005)

We propose an architecture for segmenting sequences of images in grey levels at video rate. This architecture implements on field programmable gate arrays an algorithm of image segmentation by self-organising feature maps. Performance and costs of the architecture are evaluated, reconfigurability of the proposed architecture is discussed.
Interactive segmentation for manga using lossless thinning and coarse labeling (2015)

Manga (Japanese comics) are popular all over the world. Applications using manga, such as automatic layout suggestion and character composition, have been proposed recently. To implement these applications, important but time-consuming manga segmentation is required. We propose a scribble-based interactive segmentation method for manga images. Based on Smart Scribbles, we propose (1) lossless thinning, which enables the handling of complex raster images such as manga, and (2) coarse labeling, which drastically reduces the computational cost of labeling and enables accurate segmentation in real time. Our experimental results show that the proposed method efficiently produces much more accurate results than does the Quick Selection Tool in Adobe Photoshop1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> or the connected-component labeling method.
Generation-recombination noise in forward biased 4H-SiC p-n diodes (2006)

Low frequency noise has been studied in forward biased 4H-SiC p+-n diodes at current densities from 10−4to10A∕cm2. At small current densities j⩽10−3A∕cm2, the spectral noise density SI follows the law SI∝1∕f3∕2. At 10−3A∕cm2 &amp;lt;j&amp;lt;10−2A∕cm2, the generation-recombination (GR) noise predominates. The amplitude of this GR noise nonmonotonically depends on current. At j⩾10−2A∕cm2, the 1∕f (flicker noise) dominates. It has been shown that the recombination time in the space charge region of the p+-n junction, τR, is about 70ns. This value is approximately one order of magnitude larger than that reported earlier for SiC p-n structures. A model of GR noise in forward biased p-n junctions has been proposed. The model links the GR noise with fluctuations of the charge state of a trap in the space charge region.