gebhart/patrepeval huggingface dataset:
Electrochemical Properties and Chemical Oxygen Demand Depending on the Thickness of Boron-Doped Diamond (2020)

In this study, boron-doped diamond (BDD) film was deposited by hot-filament chemical vapor deposition (HFCVD) using acetone as the carbon source and trimethyl borate (TMB) as the boron source with the aim of lowering the manufacturing cost of BDD electrodes. The BDD film was deposited for 12 and 60 h to observe changes in the morphological behavior of the film as well as subsequent changes in the electrochemical properties. The morphology of the BDD film was not affected by the deposition time, but the thickness increased with increasing deposition time. As the deposition time increased, the deposition rate of the BDD film did not increase or decrease; rather, it remained constant at 100 nm/h. As the thickness of the BDD film increased, an increase in the potential window was observed. On the other hand, no distinct change was observed in the electrochemical activation and catalytic activity depending on the thickness, and there were not many differences. Chemical oxygen demand (COD) was measured to determine the practical applicability of the deposited BDD film. Unlike the potential window, the COD removal rate was almost the same and was not affected by the increase in the thickness of the BDD film. Both films under the two deposition conditions showed a high removal rate of 90% on average. This study confirms that BDD electrodes are much more useful for water treatment than the existing electrodes.
The effect of age on glucose uptake and GLUT1 and GLUT4 expression in rat skeletal muscle (2011)

During the life span, phenotypic and structural modifications on skeletal muscle contribute to a reduction on glucose uptake either in basal state or triggered by insulin, but the underlying mechanisms for this decline are not entirely identified. A reduction in the expression of skeletal muscle glucose transporters (GLUTs), glucose transporter type 1 (GLUT1) and glucose transporter type 4 (GLUT4), has been associated to such phenomena, but unlike the case of insulin, only few studies have addressed the effect of age on muscle-contraction-induced glucose uptake. The aim of the study was to investigate the influence of age on GLUT1 and GLUT4 expression in skeletal muscle and its relation to the glucose uptake induced by muscle contraction. For this purpose, soleus muscle from Wistar rats aged 4, 10, 22 and 42 weeks were isolated and electrically stimulated (30 min, 10 Hz, 20 V, 0.2 ms). After stimulation, glucose uptake and GLUT1 and GLUT4 expression and localisation were evaluated. Muscle contraction caused an increase in glucose uptake in all studied groups. In addition, the absolute rates of glucose uptake were negatively correlated with age. The expression of GLUT4 was lower in older animals, whereas no relation between age and GLUT1 expression was found. Immunohistochemistry confirmed the ontogenic effect on GLUT4 expression and suggested an age-related modification on GLUT1 distribution within the muscle fibres; for instance, this protein seems to be present mainly out of the sarcoplasm. The present findings demonstrate that the ability of muscle contraction to increase glucose uptake is not influenced by age, whereas glucose uptake under basal conditions decreases with age.
Psychologic distress and head and neck cancer: part 1--review of the literature. (2008)

Patients with head and neck cancer (HNC) experience a variety of psychiatric symptoms and disorders, possibly at rates greater than those seen in patients with other types of cancer. This paper reviews the literature on psychologic distress in HNC patients and will also focus on symptoms and diagnoses of depression, anxiety, and substance abuse--conditions requiring the involvement of healthcare professionals. An awareness of the type of issues experienced by HNC patients is vital for accurate assessment and effective intervention.
Fed-Sim: Federated Simulation for Medical Imaging (2020)

Labelling data is expensive and time consuming especially for domains such as medical imaging that contain volumetric imaging data and require expert knowledge. Exploiting a larger pool of labeled data available across multiple centers, such as in federated learning, has also seen limited success since current deep learning approaches do not generalize well to images acquired with scanners from different manufacturers. We aim to address these problems in a common, learning-based image simulation framework which we refer to as Federated Simulation. We introduce a physics-driven generative approach that consists of two learnable neural modules: 1) a module that synthesizes 3D cardiac shapes along with their materials, and 2) a CT simulator that renders these into realistic 3D CT Volumes, with annotations. Since the model of geometry and material is disentangled from the imaging sensor, it can effectively be trained across multiple medical centers. We show that our data synthesis framework improves the downstream segmentation performance on several datasets. Project Page: https://nv-tlabs.github.io/fed-sim/ .
Preliminary experiences with the uintah framework on Intel Xeon Phi and stampede (2013)

In this work, we describe our preliminary experiences on the Stampede system in the context of the Uintah Computational Framework. Uintah was developed to provide an environment for solving a broad class of fluid-structure interaction problems on structured adaptive grids. Uintah uses a combination of fluid-flow solvers and particle-based methods, together with a novel asynchronous task-based approach and fully automated load balancing. While we have designed scalable Uintah runtime systems for large CPU core counts, the emergence of heterogeneous systems presents considerable challenges in terms of effectively utilizing additional on-node accelerators and co-processors, deep memory hierarchies, as well as managing multiple levels of parallelism. Our recent work has addressed the emergence of heterogeneous CPU/GPU systems with the design of a Unified heterogeneous runtime system, enabling Uintah to fully exploit these architectures with support for asynchronous, out-of-order scheduling of both CPU and GPU computational tasks. Using this design, Uintah has run at full scale on the Keeneland System and TitanDev. With the release of the Intel Xeon Phi co-processor and the recent availability of the Stampede system, we show that Uintah may be modified to utilize such a coprocessor based system. We also explore the different usage models provided by the Xeon Phi with the aim of understanding portability of a general purpose framework like Uintah to this architecture. These usage models range from the pragma based offload model to the more complex symmetric model, utilizing all co-processor and host CPU cores simultaneously. We provide preliminary results of the various usage models for a challenging adaptive mesh refinement problem, as well as a detailed account of our experience adapting Uintah to run on the Stampede system. Our conclusion is that while the Stampede system is easy to use, obtaining high performance from the Xeon Phi co-processors requires a substantial but different investment to that needed for GPU-based systems.
Training in the Departments of Urology and Surgery for Gynecologists in Japan (2019)

Many Ob-Gyn specialists think training in other departments is necessary, but potential problems include proper training implementation and stress management for residents. If additional training is enforced, greater flexibility in each facility will be required.
Highly efficient dye adsorption and removal: a functional hybrid of reduced graphene oxide–Fe3O4 nanoparticles as an easily regenerative adsorbent (2012)

A functional hybrid of reduced graphene oxide (RGO)–Fe3O4 nanoparticles (NPs) has been chemically synthesized with exceptionally high yield and tunable RGO/Fe3O4 ratio. The adsorption behaviors of a series of dyes using this hybrid as the adsorbent are systematically investigated in aqueous solutions through real-time monitoring of the fingerprint spectral changes of the dyes. The results show that, benefiting both from the surface property of RGO and from the magnetic property of Fe3O4, the hybrid possesses quite a good (although unoptimized) and versatile adsorption capacity to the dyes under investigation, and can be easily and rapidly extracted from water by magnetic attraction. Most importantly, it is found that by simply annealing in moderate conditions, this hybrid adsorbent can be easily and efficiently regenerated for reuse with hardly any compromise of the adsorption capacity. Furthermore, the adsorbability of this hybrid shows satisfactory tolerance against the variations in both pH environment and dye concentration. Even when exposed to a multi dye cocktail, the hybrid can work well without suppressing the adsorption capacity for each of the dyes, as compared with that measured separately. The inherent advantages of this nanostructured adsorbent, such as non-compromised adsorption capacity, low cost, easy, rapid extraction and regeneration, good tolerance, multiplex adsorbability, and handy operation, may pave a new, efficient and sustainable way towards highly-efficient dye pollutant removal in Earth's water environments.
Effects of Staphylococcal Alpha-, Beta-, Delta-, and Gamma-Hemolysins on Human Diploid Fibroblasts and HeLa Cells: Evaluation of a New Quantitative Assay for Measuring Cell Damage (1973)

Human diploid embryonic lung fibroblasts and HeLa cells were cultivated in Eagle minimaĺ essential medium supplemented with 10% calf serum. Monolayer cultures were labeled with (3)H-uridine and treated with highly purified staphylococcal alpha-, beta-, delta-, or gamma-hemolysin. The release of soluble radioactive substances into the medium was used as an indicator of damage to the cell membrane after treatment with each hemolysin. The assay method described is simple, sensitive, and rapid. It allows quantitative estimation of changes in membrane permeability to be detected before a morphological damage is observed microscopically. Upon incubation for up to 30 min with highly purified staphylococcal hemolysins, only delta-hemolysin caused release of a significant amount of tritiated substances from fibroblasts. Such leakage occurred immediately after addition of delta-lysin and was independent of temperature. With minor exceptions, this was similar to the release of isotopes after treatment of the cells with the nonionic detergent Triton X-100. Treatment of fibroblasts with combinations of two or three of these toxins gave neither a synergistic nor an antagonistic effect. Evidence is presented which indicates that delta-hemolysin is the only important fibroblast damaging activity in crude preparations of extracellular proteins of four strains of S. aureus, whereas HeLa cells are susceptible also to purified alpha-toxin.
Informations- und prozeßorientierte Modellierung verteilter Systeme auf der Basis von Feature-Structure-Netzen (2001)

The increasing requirements on distributed software systems like internet applications have raised the complexity to a level which current approaches can no longer cope with. This trend leads to a high demand for approaches that allow an adequate specification of distributed systems. One of the corner stones of system specification is a modeling language or modeling technique, which defines syntax and semantics of models and provides tools for creating, analyzing, and validating models. Feature-Structure-Nets (FSNets) are presented as a modeling technique for distributed systems. FSNets are based on feature structures and Petri nets. Feature structures support information-oriented modeling, while Petri nets are applied to specify the model’s process-oriented aspects. After giving a survey of informationand process-oriented modeling techniques – focussing on the Unified Modeling Language (UML) – syntax and semantics of FSNets are formally defined. A UML notation for feature structures is developed and applied for FSNets. Thus, FSNets are the first Petri net formalism using UML for modeling and depicting types and objects in a coherent way. FSNets can be executed as a result of their operational semantics. Modeling with FSNets is supported by a graphical tool, which allows editing and execution of FSNets. In the theoretical part, feature structures are studied as a formal notation for object graphs or object views. Basic FSNets and in particular elementary FSNets (EFSNets) are formally defined and used to gain insights into specific phenomena of distributed systems. The main contributions are defining colored processes of EFSNets as an extended process semantics of Nets in Nets and investigating consistency of distributed copies of objects or processes, taking into account the difference between value semantics and reference semantics. As a practical result, basic FSNets are combined with concepts of Reference nets to define the class of higher FSNets (HFSNets). This step enhances the applicability of FSNets to real-world problems. A graphical, UML-based notation and a software tool for editing and executing HFSNets have been developed and deployed. Application of FSNets is demonstrated using examples from several up-to-date areas of distributed systems which are relevant in practice. The chosen applications are modeling and executing business processes, electronic contracts, and intelligent agents with FSNets.
Process state evaluation of alternating Oxic—Anoxic Activated Sludge using ORP, pH and DO (1998)

Better control of wastewater treatment requires the development of pertinent sensors. For Alternating Aerobic-Anoxic Activated Sludge, the relatively simple sensors measuring ORP, DO and pH appeared to be useful for managing the aeration. Bending-points on the ORP and pH curves are linked to the major biological activities playing a role in nitrification and denitrification. In this work, it is shown that the appearance or the absence of these bending-points and the pH variation slope allow the operating state of the biological system to be identified. Case studies of over- and under-loaded conditions and over- and under-aerated systems are examined. The diagnosis procedure can be used to regulate the aeration flow rate, to optimize the ORP thresholds and the timers, and to evaluate the organic load and the potentials of the bacterial populations involved in nitrogen elimination.
Organic and inorganic–organic thin film structures by molecular layer deposition: A review (2014)

The possibility to deposit purely organic and hybrid inorganic-organic materials in a way parallel to the state-of-the-art gas-phase deposition method of inorganic thin films, i.e., atomic layer deposition (ALD), is currently experiencing a strongly growing interest. Like ALD in case of the inorganics, the emerging molecular layer deposition (MLD) technique for organic constituents can be employed to fabricate high-quality thin films and coatings with thickness and composition control on the molecular scale, even on complex three-dimensional structures. Moreover, by combining the two techniques, ALD and MLD, fundamentally new types of inorganic-organic hybrid materials can be produced. In this review article, we first describe the basic concepts regarding the MLD and ALD/MLD processes, followed by a comprehensive review of the various precursors and precursor pairs so far employed in these processes. Finally, we discuss the first proof-of-concept experiments in which the newly developed MLD and ALD/MLD processes are exploited to fabricate novel multilayer and nanostructure architectures by combining different inorganic, organic and hybrid material layers into on-demand designed mixtures, superlattices and nanolaminates, and employing new innovative nanotemplates or post-deposition treatments to, e.g., selectively decompose parts of the structure. Such layer-engineered and/or nanostructured hybrid materials with exciting combinations of functional properties hold great promise for high-end technological applications.
An efficient hardware interleaver for 3G turbo decoding (2004)

We describe an energy-efficient approach for VLSI implementation of the 3rd generation partnership project (3GPP) turbo coding interleaver algorithm. Unlike previous implementations, this interleaver uses a two-stage dedicated hardware datapath that exploits the iterative nature of the decoding process, to compute addresses on the fly, eliminating the overhead associated with programmable processors and precomputed address storage. By separating the interleaving process into two stages, our architecture allows the preparatory phase to be turned off during iterations, while the decoder engages only the real-time address computation phase, further reducing power consumption.
Multifunctional Carbon Nanotube Reinforced Polymer/Fiber Composites: Fiber-Based Integration and Properties (2022)

Carbon nanotubes are one of the most versatile nanomaterials currently used to modify the properties of both thermoplastic and thermoset-based composites, both with and without the use of a fibrous reinforcement phase. Electrically and thermally conductive by nature, their addition to traditional fiber-reinforced polymer composites has not only heralded increased mechanical properties in terms of flexural, tensile, impact, and interlaminar properties, but also allowed imparting inherent conductivity to the final composites, allowing the creation of specialized, isotropic, anisotropic, and hierarchically graded composites with applications ranging from self-diagnostic damage detection, de-icing to energy storage and conversion. The purpose of this book chapter is to focus on the methods used to integrate carbon nanotubes, both anistropically and anisotropically via techniques that focus solely on the fibrous reinforcement phase and not the matrix, into fiber-reinforced polymer composite materials. The chapter aims to review the properties that may result from such integration of the various techniques, provide a current state of the art of the multifunctional properties, which have been achieved thus far, and outline possible future dimensions of investigation and application.
Making Panoramas from Digital Images (2001)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text NEAL GALLAGHER and MICHAEL DUNCAN, "Making Panoramas from Digital Images," Optics & Photonics News 12(10), 26-33 (2001) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
UNMASQUE (2020)

Given a database instance and a populated result, query reverse-engineering attempts to identify candidate SQL queries that produce this result on the instance. A variant of this problem arises when a ground-truth is additionally available, but hidden within an opaque database application. In this demo, we present UN-MASQUE, an extraction algorithm that is capable of precisely identifying a substantive class of such hidden queries. A hallmark of its design is that the extraction is completely non-invasive to the application. Specifically, it only examines the results obtained from application executions on databases derived with a combination of data mutation and data generation techniques, thereby achieving platform-independence. Further, potent optimizations, such as database size reduction to a few rows, are incorporated to minimize the extraction overheads. The demo showcases these features on both declarative and imperative applications.
Indole Alkaloids from Kopsia teoi (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIndole Alkaloids from Kopsia teoiT. Varea, C. Kan, F. Remy, T. Sevenet, J. C. Quirion, H.-P. Husson, and H. A. HadiCite this: J. Nat. Prod. 1993, 56, 12, 2166–2169Publication Date (Print):December 1, 1993Publication History Published online1 July 2004Published inissue 1 December 1993https://pubs.acs.org/doi/10.1021/np50102a020https://doi.org/10.1021/np50102a020research-articleACS PublicationsRequest reuse permissionsArticle Views299Altmetric-Citations21LEARN 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
A procedure for selection of cells with suppressed growth in suspension after gene transfection (1988)

Conference Article| December 01 1988 A procedure for selection of cells with suppressed growth in suspension after gene transfection DAVID J. WINTERBOURNE; DAVID J. WINTERBOURNE 1Department of Surgery, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, U.K. Search for other works by this author on: This Site PubMed Google Scholar STEPHEN THOMAS; STEPHEN THOMAS 1Department of Surgery, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, U.K. Search for other works by this author on: This Site PubMed Google Scholar ANNE STEBBING; ANNE STEBBING 1Department of Surgery, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, U.K. Search for other works by this author on: This Site PubMed Google Scholar JOHN HERMON-TAYLOR JOHN HERMON-TAYLOR 1Department of Surgery, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, U.K. Search for other works by this author on: This Site PubMed Google Scholar Biochem Soc Trans (1988) 16 (6): 1018. https://doi.org/10.1042/bst0161018 Article history Received: June 20 1988 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Cite Icon Cite Get Permissions Citation DAVID J. WINTERBOURNE, STEPHEN THOMAS, ANNE STEBBING, JOHN HERMON-TAYLOR; A procedure for selection of cells with suppressed growth in suspension after gene transfection. Biochem Soc Trans 1 December 1988; 16 (6): 1018. doi: https://doi.org/10.1042/bst0161018 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsBiochemical Society Transactions Search Advanced Search Keywords: CHO cell, Chinese hamster ovary cell This content is only available as a PDF. © 1988 Biochemical Society1988 Article PDF first page preview Close Modal You do not currently have access to this content.
Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis (2011)

With Lin4Neuro in one's hand, one can access neuroimaging software packages easily, and immediately focus on analyzing data. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It also provides a practical means of sharing analysis environments across sites.